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                    U.S. DEPARTMENT OF AGRICULTURE
 Hydrology and Remote Sensing Laboratory: Beltsville, MD
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ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Hydrology and Remote Sensing Laboratory People & Locations





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- Joseph Alfieri
- Martha Anderson
- Michael Cosh
- Octavia Crompton
- Wade Crow
- Feng Gao
- Cathleen Hapeman
- Simon Kraatz
- William Kustas
- Gregory McCarty
- Xuesong Zhang
- Alexia Bertholon
- Wayne Dulaney
- Sanam Izadidehkordi
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- Richard Cirone
- Ling Du
- Maryam Foroughi
- Audra Hinson
- Wells (Dean) Hively
- Victoria Walker
- Yiming Wang
- Yun Yang
- Haoteng Zhao

Wade  Crow
                     

                     Research Physical Scientist

                     


                        **Publications**
                                    (Clicking on the reprint icon
                                       Reprint Icon
                                       will take you to the publication reprint.)Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data

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(Peer Reviewed Journal)Lee, S., Kim, D., Mccarty, G.W., Anderson, M.C., Gao, F.N., Lei, F., Moglen, G.E., Zhang, X., Yen, H., Qi, Y., Crow, W.T., Yeo, I.Y., Sun, L. 2024. Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data. Heliyon. 10(10): Article e30923. https://doi.org/10.1016/j.heliyon.2024.e30923.Soil moisture profiles of ecosystem water use revealed with ECOSTRESS

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(Peer Reviewed Journal)Feldman, A., Koster, R., Cawse-Nicholson, K., Crow, W.T., Holmes, T., Poutler, B. 2024. Soil moisture profiles of ecosystem water use revealed with ECOSTRESS. Geophysical Research Letters. 51. https://doi.org/10.1029/2024GL108326.A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing water and energy fluxes from plant to global scales

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(Peer Reviewed Journal)Anderson, M.C., Kustas, W.P., Norman, J., Diak, G., Hain, C., Gao, F.N., Yang, Y., Knipper, K.R., Xue, J., Yang, Y., Crow, W.T., Holmes, T., Nieto, H., Guzinski, R., Otkin, J., Mecikalski, J., Cammalleri, C., Torres-Rua, A., Zhan, X., Fang, L., Colaizzi, P.D., Agam, N. 2024. A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing water and energy fluxes from plant to global scales. Agricultural and Forest Meteorology. 350. Article e109951. https://doi.org/10.1016/j.agrformet.2024.109951.County-level evaluation of large-scale gridded datasets of irrigated area over China

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(Peer Reviewed Journal)Tian, X., Dong, J., Chen, X., Zhou, J., Gao, M., Wei, L., Kang, X., Zhao, D., Zhang, H., Crow, W.T. 2024. County-level evaluation of large-scale gridded datasets of irrigated area over China. Journal of Geophysical Research Atmospheres. Article e2024GL108326. https://doi.org/10.1029/2024GL108326.Neglect of potential seasonal streamflow forecasting skill in the United States national water model

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(Peer Reviewed Journal)Crow, W.T., Koster, R., Reichle, R., Chen, F., Liu, Q. 2024. Neglect of potential seasonal streamflow forecasting skill in the United States national water model. Geophysical Research Letters. 51. https://doi.org/10.1029/2023GL105649.Estimating hydrological regimes from observational soil moisture, evapotranspiration, and air temperature data

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(Peer Reviewed Journal)Koster, R., Feldman, A., Holmes, T., Anderson, M.C., Crow, W.T., Hain, C. 2024. Estimating hydrological regimes from observational soil moisture, evapotranspiration, and air temperature data. Journal of Hydrometeorology. 25(3):495-513. https://doi.org/10.1175/JHM-D-23-0140.1.Inter-basin water transfer compensates for unsustainable water use in the North China Plain

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(Peer Reviewed Journal)Dong, J., Li, Y., Wei, L., Tangdamrongsub, N., Crow, W.T., Chen, X. 2023. Inter-basin water transfer compensates for unsustainable water use in the North China Plain . Nature Climate Change. Article e2023WR035129. https://doi.org/10.1029/2023WR035129.Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modelling approach

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(Peer Reviewed Journal)Hyunglok, K., Crow, W.T. 2023. Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modelling approach. Remote Sensing of Environment. 908. https://doi.org/10.1016/j.scitotenv.2023.168067.Systematic modelling errors undermine the application of land data assimilation systems for hydrological and weather forecasting

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(Peer Reviewed Journal)Crow, W.T., Kim, H., Kumar, S. 2023. Systematic modelling errors undermine the application of land data assimilation systems for hydrological and weather forecasting. Journal of Hydrometeorology. 25, 3-26. https://doi.org/10.1175/JHM-D-23-0069.1.A basic and applied remote sensing research project (GRAPEX) for actual evapotranspiration monitoring to improve vineyard water management

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(Peer Reviewed Journal)True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis

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(Peer Reviewed Journal)Kim, H., Crow, W.T., Li, X., Wagner, W., Hahn, S., Lakshmi, V. 2023. True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis. Remote Sensing of Environment. 298: Article e113776. https://doi.org/10.1016/j.rse.2023.113776.Deep pre-storm storage critical for flood forecasting in Europe

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(Peer Reviewed Journal)Massari, C., Tramblay, Y., Crow, W.T., Gruendemann, G., Camici, S., Brocca, L., Modanesi, S., Marra, F. 2023. Deep pre-storm storage critical for flood forecasting in Europe. Journal of Hydrology. 625, Part B: Article e130012. https://doi.org/10.1016/j.jhydrol.2023.130012.Cross-cutting concepts to transform agricultural research

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(Peer Reviewed Journal)Boyd, A., Luo, Y., Lunney, J.K., Kustas, B., Fukagawa, N.K., Mattoo, A.K., Crow, W.T., Pachepsky, Y.A., Kim, M.S., Lillehoj, H.S., Van Tassell, C.P., Zhang, H.Q., Blomberg, L., Dubey, J.P. 2023. Cross-cutting concepts to transform agricultural research. Frontiers in Sustainable Food Systems. 7. Article e1242665. https://doi.org/10.3389/fsufs.2023.1242665.An introduction to Bayesian Machine Learning with an application in global-scale active and passive satellite-based soil moisture error pattern analysis

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(Peer Reviewed Journal)Kim, H., Wagner, W., Crow, W.T., Li, X., Lakshmi, V. 2023. An introduction to Bayesian Machine Learning with an application in global-scale active and passive satellite-based soil moisture error pattern analysis. Remote Sensing of Environment. 296.  https://doi.org/10.1016/j.rse.2023.113718.IMERG precipitation improves the SMAP level-4 soil moisture product

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(Peer Reviewed Journal)Reichle, R., Liu, Q., Ardizzone, J., Crow, W.T., De Lannoy, G., Kimball, J., Koster, R. 2023. IMERG precipitation improves the SMAP level-4 soil moisture product. Journal of Hydrometeorology. 24, 1699-1723. https://doi.org/10.1175/JHM-D-23-0063.1.Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow

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(Peer Reviewed Journal)Koster, R.D., Liu, Q., Crow, W.T., Reichle, R.H. 2023. Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow. Nature Communications. 14:35-45. https://doi.org/10.1038/s41467-023-39318-3.Multivariate calibration of the SWAT model using remotely sensed datasets

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(Peer Reviewed Journal)Dangol, S., Zhang, X., Liang, X., Anderson, M.C., Crow, W.T., Lee, S., Moglen, G.E., McCarty, G.W. 2023. Multivariate calibration of the SWAT model using remotely sensed datasets. Remote Sensing. 15(9):2417. https://doi.org/10.3390/rs15092417.Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration

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(Peer Reviewed Journal)Zhou, J., Yang, K., Crow, W.T., Ding, J., Zhao, L., Fenng, H., Zou, M., Lu, H., Tang, R. 2023. Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration. Remote Sensing of Environment. 291. Article 113557. https://doi.org/10.1016/j.rse.2023.113557.Remotely sensed soil moisture can capture dynamics relevant to plant water uptake

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(Peer Reviewed Journal)Feldman, A., Short Gianotti, D., Dong, J., Akbar, R., Crow, W.T., McColl, K., Konings, S., Nippert, J., Tumber-Dávila, S., Holbrook, N., Rockwell, F., Scott, R.L., Reichle, R.H., Chatterjee, A., Joiner, J., Poulter, B., Entekhabi, D. 2023. Remotely sensed soil moisture can capture dynamics relevant to plant water uptake. Water Resources Research. 59(2). Article e2022WR033814. https://doi.org/10.1029/2022WR033814.A reduced latency regional gap-filling method for SMAP using random forest regression

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(Peer Reviewed Journal)Wang, X., Lu, H., Crow, W.T., Zhu, Y., Su, J., Zheng, J., Gou, Q. 2022. A reduced latency regional gap-filling method for SMAP using random forest regression. iScience. 20. Article 105853. https://doi.org/10.1016/j.isci.2022.105853.Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland

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(Peer Reviewed Journal)Feng, S., Qui, J., Crow, W.T., Mo, X., Wang, S., Gao, L. 2022. Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland. Journal of Photogrammetry and Remote Sensing. 617. Article 129015. https://doi.org/10.1016/j.jhydrol.2022.129015.An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space

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(Peer Reviewed Journal)Kumar, S., Kolassa, J., Reichle, R., De Lannoy, G., De Rosnay, P., Macbean, N., Girotto, M., Fox, A., Quaife, T., Draper, C., Forman, B., Balsamo, G., Steele-Dunne, S., Albergel, C., Bonan, B., Calvet, J.C., Dong, J., Liddy, H., Ruston, B., Crow, W.T. 2022. An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space. Journal of Advances in Modeling Earth Systems. 14(11). https://doi.org/10.1029/2022MS003259.Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations

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(Peer Reviewed Journal)Crow, W.T., Chen, F., Colliander, A. 2022. Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations. Remote Sensing of Environment. 283. Article 113300. https://doi.org/10.1016/j.rse.2022.113300.Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation

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(Peer Reviewed Journal)Dong, J., Crow, W.T., Xi, C., Tangdamrongsub, N., Gao, M., Sun, S., Qiu, J., Wei, L., Gao, H., Duan, Z. 2022. Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation. Remote Sensing of Environment. 283. Article 113299. https://doi.org/10.1016/j.rse.2022.113299.Can we use the water budget to infer upland catchment behavior? The role of dataset error estimation and interbasin groundwater flow

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(Peer Reviewed Journal)Gorden, B.L., Crow, W.T., Konings, A.G., Dralle, D.N., Harpold, A.A. 2022. Can we use the water budget to infer upland catchment behavior? The role of dataset error estimation and interbasin groundwater flow. Water Resources Research. 58(9):e2021WR030966. https://doi.org/10.1029/2021WR030966.The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets

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(Peer Reviewed Journal)Li, H., Chai, L., Crow, W.T., Dong, J., Liu, S., Zhao, S. 2022. The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets. Remote Sensing of Environment. 281. Arcicle 113240. https://doi.org/10.1016/j.rse.2022.113240.High-resolution soil moisture data reveal complex multi-scale spatial variability across the United States

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(Peer Reviewed Journal)Vergopolan, N., Sheffield, J., Chaney, N., Pan, M., Beck, H., Ferguson, C., Torres-Rojas, L., Eigenbrod, F., Crow, W.T., Wood, E. 2022. High-resolution soil moisture data reveal complex multi-scale spatial variability across the United States. Geophysical Research Letters. 49(15):e2022GL098586. https://doi.org/10.1029/2022GL098586.Microwave-based soil moisture improves estimates of vegetation response to drought in China

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(Peer Reviewed Journal)Qui, J., Crow, W.T., Dong, J., Li, Y., Garcia, M., Shangguan, W. 2022. Microwave-based soil moisture improves estimates of vegetation response to drought in China. Remote Sensing of Environment. 849:157535. https://doi.org/10.1016/j.scitotenv.2022.157535.Leveraging pre-storm soil moisture estimates for enhanced land surface model calibration in ungauged hydrologic basins

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(Peer Reviewed Journal)Crow, W.T., Dong, J., Reichle, R. 2022. Leveraging pre-storm soil moisture estimates for enhanced land surface model calibration in ungauged hydrologic basins. Water Resources Research. 58. Article e2021WR031565. https://doi.org/10.1029/2021WR031565.Improving soil moisture assimilation efficiency via model calibration using SMAP surface soil moisture climatology information

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(Peer Reviewed Journal)Zhou, J., Crow, W.T., Wu, Z., Dong, J., He, H., Feng, H. 2022. Improving soil moisture assimilation efficiency via model calibration using SMAP surface soil moisture climatology information. Remote Sensing of Environment. 280. Article 113161. https://doi.org/10.1016/j.rse.2022.113161.Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over United States cropland

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(Peer Reviewed Journal)Zhang, C., Yang, Z., Zhao, H., Sun, Z., Di, L., Bindlish, R., Liu, P.W., Colliander, A., Mueller, R., Crow, W.T., Reichle, R., Bolten, J., Yueh, S. 2022. Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over United States cropland. International Journal of Applied Earth Observation and Geoinformation. 112. Article 102902. https://doi.org/10.1016/j.jag.2022.102902.Applying a wavelet transform technique to optimize general fitting models for SM analysis: A case study in downscaling over the Qinghai-Tibet Plateau

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(Peer Reviewed Journal)Hu, Z., Chai, L., Crow, W.T., Liu, S., Zhu, Z., Zhou, J., Qu, Y., Yang, S., Lu, Z. 2022. Applying a wavelet transform technique to optimize general fitting models for SM analysis: A case study in downscaling over the Qinghai-Tibet Plateau. Remote Sensing. 14(13):3063. https://doi.org/10.3390/rs14133063.Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley

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(Peer Reviewed Journal)Chen, F., Lei, F., Knipper, K.R., Gao, F.N., McKee, L.G., Alsina, M., Alfieri, J.G., Anderson, M.C., Bambach, N., Castro, S.J., McElrone, A.J., Alstad, K., Dokoozlian, N., Greifender, F., Kustas, W.P., Notarnicola, C., Agam, N., Prueger, J.H., Hipps, L., Crow, W.T. 2022. Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley. Irrigation Science. https://doi.org/10.1007/s00271-022-00789-9.Comprehensive evaluation and error-component analysis of four satellite-based precipitation estimates against gauged rainfall over mainland China

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(Peer Reviewed Journal)Wei, G., Lu, H., Crow, W.T., Zhu, Y., Su, J. 2022. Comprehensive evaluation and error-component analysis of four satellite-based precipitation estimates against gauged rainfall over mainland China. Advances in Meteorology. 2022:9070970. https://doi.org/10.1155/2022/9070970.Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations

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(Peer Reviewed Journal)Lei, F., Senyurek, V., Kurum, M., Gurbuz, A., Boyd, D., Moorhead, R., Crow, W.T., Eroglu, O. 2022. Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations. Remote Sensing of Environment. 276:113041. https://doi.org/10.1016/j.rse.2022.113041.Can surface soil moisture information identify landscape evapotranspiration regime transitions

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(Peer Reviewed Journal)Dong, J., Akbar, R., Gianotti, D., Feldman, A., Crow, W.T., Entekhabi, D. 2022. Can surface soil moisture information identify landscape evapotranspiration regime transitions. Geophysical Research Letters. 49:e2021GL097697. https://doi.org/10.1029/2021GL097697.CMIP6 summertime warm bias in central CONUS due to the relative neglect of transpiration from local vegetation

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(Peer Reviewed Journal)Dong, J., Lei, F., Crow, W.T. 2022. CMIP6 summertime warm bias in central CONUS due to the relative neglect of transpiration from local vegetation. Nature Communications. 13:336. https://doi.org/10.1038/s41467-021-27938-6.Investigating the efficacy of the SMAP downscaled soil moisture product for drought monitoring based on information theory

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(Peer Reviewed Journal)Wu, Z., Qiu, J., Crow, W.T. 2021. Investigating the efficacy of the SMAP downscaled soil moisture product for drought monitoring based on information theory. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:1604-1616. https://doi.org/10.1109/JSTARS.2021.3136565.Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region

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(Peer Reviewed Journal)Zheng, J., Lu, H., Crow, W.T., Zhao, T., Merlin, O., Rodriguez-Fernandez, N., Shi, J., Zhu, Y., Su, J., Kang, J., Wang, X., Gou, Q. 2021. Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region. International Journal of Applied Earth Observation and Geoinformation. 104:102530. https://doi.org/10.1016/j.jag.2021.102530.Expanding the application of soil moisture monitoring systems through regression-based transformation

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(Peer Reviewed Journal)Crow, W.T., Reichle, R., Dong, J. 2021. Expanding the application of soil moisture monitoring systems through regression-based transformation. Journal of Hydrometeorology. 22(10):2601-2615. https://doi.org/10.1175/JHM-D-21-0061.1.Validation of soil moisture data products from the NASA SMAP mission

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(Peer Reviewed Journal)Colliander, A. Reichle, R.H., Crow, W.T., Cosh, M.H., Chen, F., Chan, S., Das, N., Bindlish, R., Chaubell, M.J., Kim, S.B., Liu, Q., O’Neill, P., Dunbar, R.S., Dang,  L., Kimball, J., Jackson, T.J., al Jassar, J.K., Asanuma, J., Bhattacharya, B.K., Berg, A., Bosch, D.D., Bourgeau-Chavez, L., Caldwell, T., Calvet, J-C., Dorigo, W., Holifield Collins, C., Jensen, K., Livingston, S., Lopez-Baeza, E., Martínez-Fernández, J.,  McNairn, H., Moghaddam, M., Montzka, C., Notarnicola, C., Pellarin, T., Prueger, J., Pulliainen, J., Ramos, J., Seyfried, M., Starks, P., Su, Z., van der Velde, R., Zeng, Y., Thibeault, M., Walker, J.P., Zribi, M., Entekhabi, D., and Yueh, S. 2022. Validation of Soil Moisture Data Products from the NASA SMAP Mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:364-392. https://doi.org/10.1109/JSTARS.2021.3124743.Rootzone soil moisture comparisons: AirMOSS, SMERGE and SMAP

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(Peer Reviewed Journal)Tobin, K., Crow, W.T., Bennett, M. 2021. Rootzone soil moisture comparisons: AirMOSS, SMERGE and SMAP. Geoscience and Remote Sensing Letters. 19:1-5. https://doi.org/10.1109/LGRS.2021.3085432.Assessment of SMOS and SMAP soil moisture products against calibrated land surface model output over the Huai river basin

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(Peer Reviewed Journal)Wang, X., Lu, H., Crow, W.T., Zhu, Y., Su, J. 2021. Assessment of SMOS and SMAP soil moisture products against calibrated land surface model output over the Huai river basin. Journal of Hydrology. 598:126468. https://doi.org/10.1016/j.jhydrol.2021.126468.A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors

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(Peer Reviewed Journal)Zhou, J., Crow, W.T., Wu, Z., Dong, J., He, H., Feng, H. 2021. A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors. Remote Sensing of Environment. 263:112509. https://doi.org/10.1016/j.rse.2021.112509.Assimilation of satellite soil moisture products for river flow prediction: An extensive experiment in over 700 catchments throughout Europe

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(Peer Reviewed Journal)De Santis, D., Blondi, D., Crow, W.T., Camici, S., Mondanesi, S., Brocca, L., Massari, C. 2021. Assimilation of satellite soil moisture products for river flow prediction: An extensive experiment in over 700 catchments throughout Europe. Water Resources Research. 57.e2021WR029643. https://doi.org/10.1029/2021WR029643.The added value of brightness temperature assimiilation for the the SMAP Level-4 surface and root-zone soil moisture analysis over mainland China

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(Peer Reviewed Journal)Qui, J., Dong, J., Crow, W.T., Zhang, X., Reichie, R., De Lannoy, G. 2021. The added value of brightness temperature assimiilation for the the SMAP Level-4 surface and root-zone soil moisture analysis over mainland China. Hydrology and Earth System Sciences. 25(3):1569–1586. https://doi.org/10.5194/hess-25-1569-2021.The contribution of gauge-based precipitation and SMAP brightness temperature observations to the skill of the SMAP Level-4 soil moisture product

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(Peer Reviewed Journal)Reichle, R., Liu, Q., Ardizzone, J., Crow, W.T., Dong, J., De Lannoy, G., Kimball, J., Koster, R. 2021. The contribution of gauge-based precipitation and SMAP brightness temperature observations to the skill of the SMAP Level-4 soil moisture product. Journal of Hydrometeorology. 22(2):405–424. https://doi.org/10.1175/JHM-D-20-0217.1.Bridging the gap between water states and fluxes in land data assimilation systems

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(Abstract Only)Enhanced large-scale validation of satellite-based land rainfall products

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(Peer Reviewed Journal)Chen, F., Crow, W.T., Ciabatta, L., Flippucci, P., Pagegrossi, G., Marra, A., Puca, S., Massari, C. 2021. Enhanced large-scale validation of satellite-based land rainfall products. Journal of Hydrometeorology. 22:245-247. https://doi.org/10.1175/JHM-D-20-0056.1.Estimating corn canopy water content from normalized difference water index (NDWI): an optimized NDWI-based scheme and its feasibility for retrieving corn VWC

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(Peer Reviewed Journal)Chai, L., Jiang, H., Crow, W.T., Liu, S., Zhao, S., Liu, J., Yang, S. 2020. Estimating corn canopy water content from normalized difference water index (NDWI): an optimized NDWI-based scheme and its feasibility for retrieving corn VWC. IEEE Transactions on Geoscience and Remote Sensing. 1-14. https://doi.org/10.1109/TGRS.2020.3041039.A roadmap for high resolution satellite soil moisture applications - confronting product characteristics with user requirements

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(Peer Reviewed Journal)Peng, J., Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M., De Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y., Lovergine, F., Marzahn, P., Mattia, F., Musial, J., Preuschmann, S., Reichle, R., Satalino, G., Silgram, M., Van Bodegom, P. 2020. A roadmap for high resolution satellite soil moisture applications - confronting product characteristics with user requirements. Nature Reviews Earth & Environment. 252:112162. https://doi.org/10.1016/j.rse.2020.112162.Bare soil evaporation stress determines soil moisture - evapotranspiration coupling strength bias in land surface modeling

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(Peer Reviewed Journal)Dong, J., Dirmeyer, P., Lei, F., Anderson, M.C., Holmes, T., Hain, C., Crow, W.T. 2020. Bare soil evaporation stress determines soil moisture - evapotranspiration coupling strength bias in land surface modeling. Geophysical Research Letters. 47. e2020GL090391.  https://doi.org/10.1029/2020GL090391.Improving spatial patterns prior to land surface data assimilation via model calibration using SMAP surface soil moisture data

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(Peer Reviewed Journal)Zhou, J., Wu, Z., Crow, W.T., Dong, J., Hai, H. 2020. Improving spatial patterns prior to land surface data assimilation via model calibration using SMAP surface soil moisture data. Water Resources Research. 56:10. https://doi.org/10.1029/2020WR027770.Sources and forecast implications for soil moisture/ evapotranspiration over-coupling during L-band brightness temperature assimilation

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(Peer Reviewed Journal)Crow, W.T., Arroyo, C., Munoz, J., Holmes, T., Hain, C., Lei, F., Dong, J., Alfieri, J.G., Anderson, M.C. 2020. Sources and forecast implications for soil moisture/ evapotranspiration over-coupling during L-band brightness temperature assimilation. Journal of Hydrometeorology. 21:2359-2374. https://doi.org/10.1175/JHM-D-20-0088.1.Estimating and improving the rain/no-rain detection skill of remotely sensed and reanalyzed precipitation products

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(Peer Reviewed Journal)Dong, J., Crow, W.T., Reichle, R. 2021. Estimating and improving the rain/no-rain detection skill of remotely sensed and reanalyzed precipitation products. Journal of Hydrometeorology. 21:2419:2429. https://doi.org/10.1175/JHM-D-20-0097.1.Long-term trends in root-zone soil moisture across CONUS connected to ENSO

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(Peer Reviewed Journal)Tobin, K., Torres, R., Bennett, M., Dong, J., Crow, W.T. 2020. Long-term trends in root-zone soil moisture across CONUS connected to ENSO. Remote Sensing. 12:2037. https://doi.org/10.3390/rs12122037.Validation practices for satellite soil moisture retrievals: What are (the) errors?

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(Peer Reviewed Journal)Gruber, A., De Lannoy, G., Albergel, C., Al-Yarri, A., Brocca, L., Calvet, J., Colliander, A., Cosh, M.H., Crow, W.T., Dorigo, W., Draper, C., Hirschi, M., Kerr, Y., Konings, A., Lahoz, W., Mccoll, K., Montzkka, C., Munoz-Sabater, J., Peng, J., Reichle, R., Richaume, P., Rudiger, C., Scanlon, T., Van Der Schalie, R., Wigneron, J. 2020. Validation practices for satellite soil moisture retrievals: What are (the) errors? Remote Sensing of Environment. 244:111806. https://doi.org/10.1016/j.rse.2020.111806.Retrieving surface soil moisture from GRACE satellite gravity data

                                       -
(Peer Reviewed Journal)Sadeghi, M., Gao, L., Ebtenaj, A., Wigneron, J., Reager, J., Crow, W.T. 2020. Retrieving surface soil moisture from GRACE satellite gravity data. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.124717.Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T., Tobin, K., Cosh, M.H., Bosch, D.D., Starks, P.J., Seyfried, M.S., Holifield Collins, C.D. 2020. Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation. Remote Sensing of Environment. 242:111756. https://doi.org/10.1016/j.rse.2020.111756.Agricultural drought monitoring via the assimilation of SMAP soil moisture retrievals into a global soil water balance model

                                       -
(Peer Reviewed Journal)Mladenova, I., Bolten, J., Crow, W.T., Sazib, N., Reynolds, C. 2020. Agricultural drought monitoring via the assimilation of SMAP soil moisture retrievals into a global soil water balance model. Frontiers in Big Data. https://doi.org/10.3389/fdata.2020.00010.Global estimates of land surface water flux from SMOS and SMAP satellite soil moisture data

                                       -
(Peer Reviewed Journal)Sadeghi, M., Ebtenaj, A., Crow, W.T., Gao, L., Purdy, A., Fisher, J., Jones, S., Tuller, M. 2020. Global estimates of land surface net water flux from SMOS and SMAP satellite soil moisture data. Journal of Hydrometeorology. 21:241–253. https://doi.org/10.1175/JHM-D-19-0150.1.Land surface model representation of the mutual information context between multi-layer soil moisture and evapotranspiration

                                       -
(Peer Reviewed Journal)Qui, J., Crow, W.T., Dong, J., Nearing, G. 2020. Land surface model representation of the mutual information context between multi-layer soil moisture and evapotranspiration. Hydrology and Earth System Sciences. 24:581–594. https://doi.org/10.5194/hess-24-581-2020.Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard

                                       -
(Peer Reviewed Journal)Lei, F., Crow, W.T., Kustas, W.P., Dong, J., Yang, Y., Knipper, K.R., Anderson, M.C., Gao, F.N., Notarnicola, C., Greifeneder, F., Mckee, L.G., Alfieri, J.G., Hain, C., Dokoozlian, N. 2020. Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111622.A unified data-driven method to derive hydrologic dynamics from global SMAP surface soil moisture and GPM precipitation data

                                       -
(Peer Reviewed Journal)Mao, Y., Crow, W.T., Nijssen, B. 2020. A unified data-driven method to derive hydrologic dynamics from global SMAP surface soil moisture and GPM precipitation data. Water Resources Research. 56:E2019WR024949. https://doi.org/10.1029/2019WR024949.Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data

                                       -
(Peer Reviewed Journal)Mao, Y., Crow, W.T., Nijssen, B. 2020. Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data. Hydrology and Earth System Sciences. 24/615-631. https://doi.org/10.5194/hess-24-615-2020.Impact of rescaling approaches on the simple fusion of soil moisture products

                                       -
(Peer Reviewed Journal)Ashfar, M., Yilmaz, M., Crow, W.T. 2019. Impact of rescaling approaches on the simple fusion of soil moisture products. Water Resources Research. 55:7804-7825. https://doi.org/10.1029/2019WR025111. 2019.The SMAP and Copernicus Sentinel 1A/B microwave active-passive, high-resolution surface soil moisture product

                                       -
(Peer Reviewed Journal)Das, N., Entekhabi, D., Dunbar, R., Caubell, M., Colliander, A., Yueh, S., Jaghuber, T., Chen, F., Crow, W.T., O'Neil, P., Walker, J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Lopez-Baeza, E., Thibeault, M. 2019. The SMAP and Copernicus Sentinel 1A/B microwave active-passive, high-resolution surface soil moisture product. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111380.Diagnosing bias in modeled soil moisture/runoff coefficient correlation using the SMAP Level 4 soil moisture product

                                       -
(Peer Reviewed Journal)Crow, W.T., Chen, F., Reichele, R., Xia, Y. 2019. Diagnosing bias in modeled soil moisture/runoff coefficient correlation using the SMAP Level 4 soil moisture product. Water Resources Research. 55:7010-7026. https://doi.org/10.1029/2019WR025245.Version 4 of the SMAP level-4 soil moisture algorithm and data product

                                       -
(Peer Reviewed Journal)Reichle, R., Liu, Q., Koster, R., Crow, W.T., Delannoy, G., Kimball, J., Ardizzone, J., Bosch, D.D., Colliander, A., Cosh, M.H., Kolassa, Mahanama, S., McNairn, H., Prueger, J.H., Starks, P.J., Walker, J. 2020. Version 4 of the SMAP level-4 soil moisture algorithm and data product. Journal of Advances in Modeling Earth Systems. 11:3106-3130. https://doi.org/10.1029/2019MS001729.Evaluating the operational application of SMAP for global agricultural drought monitoring

                                       -
(Peer Reviewed Journal)Mladenova, I., Bolten, J., Crow, W.T., Sazib, N., Cosh, M.H., Tucker, C., Reynolds, C. 2019. Evaluating the operational application of SMAP for global agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3387-3397. https://doi.org/10.1109/jstars.2019.2923555.Validation of a new soil moisture product: Soil MERGE (SMERGE)

                                       -
(Peer Reviewed Journal)Tobin, K., Crow, W.T., Dong, J., Bennett, M. 2019. Validation of a new soil moisture product: Soil MERGE (SMERGE). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3351-3365. https://doi.org/10.1109/JSTARS.2019.2930946.Consistency between NASS surveyed soil moisture conditions and SMAP soil moisture observations

                                       -
(Peer Reviewed Journal)Colliander, A., Yang, Z., Mueller, R., Sandborn, A., Reichle, R., Crow, W.T., Entekhabi, D., Yeuh, S. 2019. Consistency between NASS surveyed soil moisture conditions and SMAP soil moisture observations. Water Resources Research. https://doi.org/10.1029/2018WR024475.Uncertainty of reference pixel soil moisture averages sampled at SMAP core validation sites

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Cosh, M.H., Colliander, A., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T., Holifield Collins, C.D., Martinez-Fernandez, J., Mcnairn, H., Starks, P.J., Su, Z., Walker, J. 2019. Uncertainty of reference pixel soil moisture averages sampled at SMAP core validation sites. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-19-0049.1.A global assessment of added value in the SMAP Level-4 soil moisture product relative to its baseline land surface model

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T., Reichle, R., Liu, Q., Lei, F., Cosh, M.H. 2019. A global assessment of added value in the SMAP Level-4 soil moisture product relative to its baseline land surface model. Geophysical Research Letters. https://doi.org/10.1029/2019GL083398.A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation

                                       -
(Peer Reviewed Journal)Gruber, A., Delannoy, G., Crow, W.T. 2019. A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation. Remote Sensing of Environment. 228:105-114. https://doi.org/10.1016/j.rse.2019.04.003.The effect of spatiotemporal resolution degradation on the accuracy of IMERG products over the Huai River Basin

                                       -
(Peer Reviewed Journal)Su, J., Lu, H., Zhu, Y., Crow, W.T., Cui, Q. 2020. The effect of spatiotemporal resolution degradation on the accuracy of IMERG products over the Huai River Basin. Journal of Hydrometeorology. 21(5):1073-1088. https://doi.org/10.1175/JHM-D-19-0158.1.Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX16)

                                       -
(Peer Reviewed Journal)Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Powers, J., Mccain, H., Bullock, P., Berg, A., Magagi, R., Bindlish, R., Williamson, R., Ramos, I., Latham, B., Oneil, P., Yueh, S. 2019. Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX16). Remote Sensing of Environment. 227:137-150. https://doi.org/10.1016/j.rse.2019.04.004.Effect of vegetation index choice on soil moisture retrievals via the synergistic use of synthetic aperture radar and optical remote sensing

                                       -
(Peer Reviewed Journal)Qui, J., Wagner, W., Zhao, T., Crow, W.T. 2019. Effect of vegetation index choice on soil moisture retrievals via the synergistic use of synthetic aperture radar and optical remote sensing. International Journal of Applied Earth Observation and Geoinformation. 80:47-57. https://doi.org/10.1016/j.jag.2019.03.015.Utility of soil moisture data products for natural disaster applications

                                       -
()Crow, W.T. 2019. Utility of soil moisture data products for natural disaster applications. Book Chapter. p. 65-85. https://doi.org/10.1016/C2017-0-02344-3.A double instrumental variable method for geophysical product error estimation

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T. 2019. A double instrumental variable method for geophysical product error estimation. Remote Sensing of Environment. 9:1657. https://doi.org/10.1038/s41598-018-38309-5.Space-borne microwave surface soil moisture observations provide missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States

                                       -
(Peer Reviewed Journal)Al-Yaari, A., Ducharne, A., Crow, W.T., Cheruy, F., Wigneron, J. 2019. Space-borne microwave surface soil moisture observations provide missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States. Scientific Reports. 9:1657. https://doi.org/10.1038/s41598-018-38309-5.Evaluation of IMERG V04A precipitation estimates over different topographic and climatic watersheds in China

                                       -
(Peer Reviewed Journal)Wei, W., Lu, H., Crow, W.T., Zhu, Y., Su, J., Wang, J. 2018. Evaluation of IMERG V04A precipitation estimates over different topographic and climatic watersheds in China. Remote Sensing. 10:30. https://doi.org/10.3390/rs10010030.Comprehensive evaluation of GPM-IMERG, CMORPH and TMPA precipitation products with gauged rainfall over mainland China

                                       -
(Peer Reviewed Journal)Wei, G., Lu, H., Crow, W.T., Zhu, Y., Wang, J., Su, J. 2018. Comprehensive evaluation of GPM-IMERG, CMORPH and TMPA precipitation products with gauged rainfall over mainland China. Advances in Meteorology. 2018:3024190. https://doi.org/10.1155/2018/3024190.L-band remote sensing increases sampled levels of global soil moisture - air temperature coupling strength

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T. 2018. L-band remote sensing increases sampled levels of global soil moisture - air temperature coupling strength. Remote Sensing of Environment. 220:51-58. https://doi.org/10.1016/j.rse.2018.10.024.A 3-step framework for understanding the efficiency of surface soil moisture data assimilation for improving large-scale runoff prediction

                                       -
(Peer Reviewed Journal)Mayo, Y., Crow, W.T., Nijsseen, B. 2019. A 3-step framework for understanding the efficiency of surface soil moisture data assimilation for improving large-scale runoff prediction. Journal of Hydrometeorology. 20:79–97. https://doi.org/10.1175/JHM-D-18-0115.1.Use of satellite soil moisture to diagnosis climate model representations of European air temperature-soil moisture coupling strengths

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T. 2018. Use of satellite soil moisture to diagnosis climate model representations of European air temperature-soil moisture coupling strengths. Geophysical Research Letters. 45:12884–12891. https://doi.org/10.1029/2018GL080547.Global investigation of soil moisture and latent heat flux coupling strength

                                       -
(Peer Reviewed Journal)Lei, F., Crow, W.T., Holmes, T., Hain, C., Anderson, M.C. 2018. Global investigation of soil moisture and latent heat flux coupling strength. Water Resources Research. 54:8196-8215. https://doi.org/10.1029/2018WR023469.Spatial and temporal variability of root-zone soil moisture acquired from hydrologic modeling and AirMOSS P-band radar

                                       -
(Peer Reviewed Journal)Crow, W.T., Malik, S., Moghaddam, M., Tabatabaeenejad, A., Jaruwatanadilok, S., Yu, X., Shi, Y., Riechle, R., Hagimoto, Y., Cuenca, R. 2018. Spatial and temporal variability of root-zone soil moisture acquired from hydrologic modeling and AirMOSS P-band radar. IEEE Journal of Selected Topics in Applied Remote Sensing. 11(12):4578-4590. https://doi.org/10.1109/JSTARS.2018.2865251.The added value of assimilating remotely sensed soil moisture for analysis of soil moisture-air temperature interactions

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T. 2018. The added value of assimilating remotely sensed soil moisture for analysis of soil moisture-air temperature interactions. Water Resources Research. 54:6072-6084. https://doi.org/10.1029/2018WR022619.The efficiency of data assimilation

                                       -
(Peer Reviewed Journal)Nearing, G., Yatheendradas, S., Crow, W.T., Zhan, X., Liu, J., Chen, F. 2018. The efficiency of data assimilation. Water Resources Research. 54(9):6374-6392. https://doi.org/10.1029/2017WR020991.Estimating basin-scale water budgets with SMAP soil moisture data

                                       -
(Peer Reviewed Journal)Koster, R., Crow, W.T., Reichle, R., Mahanama, S. 2018. Estimating basin-scale water budgets with SMAP soil moisture data. Water Resources Research. 54(7):4228-4244. https://doi.org/10.1029/2018WR022669.Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Bindlish, R., Colliander, A., Burgins, M., Asanuma, J., Aida, K. 2018. Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation. Remote Sensing of Environment. 214:1-13. https://doi.org/10.1016/j.rse.2018.05.008.SMAP Level 4 soil moisture estimates reveal possible bias in the runoff response of land surface models

                                       -
(Peer Reviewed Journal)Crow, W.T., Chen, F., Reiche, R., Xia, Liu, Q. 2018. SMAP Level 4 soil moisture estimates reveal possible bias in the runoff response of land surface models. Geophysical Research Letters. 45(10):4869-4878. https://doi.org/10.1016/j.rse.2018.05.008.The SMAP mission combined active-passive soil moisture product at 9km and 3km spatial resolutions

                                       -
(Peer Reviewed Journal)Das, N., Entekhabi, D., Dunbar, R., Colliander, A., Chen, F., Crow, W.T., Jackson, T.J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Lopez-Baeza, E. 2018. The SMAP mission combined active-passive soil moisture product at 9 km and 3km spatial resolutions. Remote Sensing of Environment. 211:204-217. https://doi.org/10.1016/j.rse.2018.04.011.Microwave implementation of two-source energy balance approach for estimating evapotranspiration

                                       -
(Peer Reviewed Journal)Holmes, T., Hain, C., Crow, W.T., Anderson, M.C., Kustas, W.P. 2018. Microwave implementation of two-source energy balance approach for estimating evapotranspiration. Hydrology and Earth System Sciences. 22:1351-1369. https://doi.org/10.5194/hess-22-1351-2018.Assimilation of spatially sparse in situ soil moisture networks into a continuous model domain

                                       -
(Peer Reviewed Journal)Gruber, A., Crow, W.T., Dorigo, W. 2018. Assimilation of spatially sparse in situ soil moisture networks into a continuous model domain. Water Resources Research. 54:1353-1367. https://doi.org/10.1002/2017WR021277.The error structure of the SMAP single and dual channel soil moisture retrievals

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T. 2017. The error structure of the SMAP single and dual channel soil moisture retrievals. Geophysical Research Letters. 45:758-765. https://doi.org/10.1002/2017JD027397.Triple collocation based merging of satellite soil moisture retrievals

                                       -
(Peer Reviewed Journal)Gruber, A., Dorigo, W., Crow, W.T., Wagner, W. 2017. Triple collocation based merging of satellite soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing. 55(12):6780-6792. https://doi.org/10.1109/TGRS.2017.2734070.Global assessment of the SMAP level-4 surface and root-zone soil moisture product using assimilation diagnostics

                                       -
(Peer Reviewed Journal)Riechle, R., De Lannoy, G., Liu, Q., Koster, R., Kimball, J., Crow, W.T., Ardizzone, J., Chakraborty, P., Collins, D., Conasty, A., Girotti, M., Jones, L., Kolassa, J., Lievens, H., Lucchesi, R., Smith, E. 2017. Global assessment of the SMAP level-4 surface and root-zone soil moisture product using assimilation diagnostics. Journal of Hydrometeorology. 18(12):3217-3237. https://doi.org/10.1175/JHM-D-17-0130.1.Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements

                                          
                                       -
(Peer Reviewed Journal)Reichle, R., De Lannoy, G., Liu, Q., Ardizonne, J., Colliander, A., Conaty, A., Crow, W.T., Jackson, T.J., Jones, L., Kimball, J., Koster, R., Mahanama, S., Smith, E., Berg, A., Bircher, S., Bosch, D.D., Caldwell, T., Cosh, M.H., Gonzalez-Zanora, A., Holifield Collins, C.D., Livingston, S.J., Lopez-Baeza, E., Martinez-Fernandez, J., McNairn, H., Moghaddam, M., Pacheco, A., Pellarin, T., Prueger, J.H., Rowlandson, T., Seyfried, M.S., Starks, P.J., Su, Z., Thibeault, M., Uldall, F., van der Velde, R., Walker, J., Wu, X., Zeng, Y. 2017. Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements. Journal of Hydrometeorology. 18(10):2621-2645. https://doi.org/10.1175/JHM-D-17-0063.1.Effect of water quality sampling time and frequency on storm load predictions of a prominent regression-based model

                                       -
(Peer Reviewed Journal)Sharifi, A., Wallace, C., McCarty, G.W., Crow, W.T., Momen, B., Lang, M., Sadeghi, A.M., Hawe, Y., Sangchul, L., Denver, J., Rabenhorst, M. 2017. Effect of water quality sampling time and frequency on storm load predictions of a prominent regression-based model. Water Resources Research. https://doi.org/10.3390/w9110895. 2017.Assessment of the spatial heterogeneity on microwave satellite soil moisture periodic error

                                       -
(Peer Reviewed Journal)Lei, F., Crow, W.T., Shen, H., Su, C., Holmes, T. 2018. Assessment of the spatial heterogeneity on microwave satellite soil moisture periodic error. Remote Sensing of Environment. 205:85-99. https://doi.org/10.106/j.rse.2017.11.002.An improved triple collocation algorithm for decomposing autocorrelated and white soil moisture retrieval errors

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T. 2017. An improved triple collocation algorithm for decomposing autocorrelated and white soil moisture retrieval errors. Journal of Geophysical Research. 122(24):13,081-13,094. https://doi.org/10.1002/2017JD027397.An assessment of the accuracy of global rainfall estimates without ground-based observations

                                       -
(Peer Reviewed Journal)Massari, C., Crow, W.T., Brocca, L. 2017. An assessment of the accuracy of global rainfall estimates without ground-based observations. Hydrology and Earth System Sciences. 21:4347-4361. https://doi.org/10.5194/hess-21-4347-2017.Correcting satellite-based precipitation products through SMOS soil moisture data assimilation in two land-surface models of different complexity: API and SURFEX

                                       -
(Peer Reviewed Journal)Roman-Cascon, C., Pellarin, T., Gibon, F., Cosme, E., Kerr, Y., Brocca, L., Massari, C., Crow, W.T., Fernanez, D. 2017. Correcting satellite-based precipitation products through SMOS soil moisture data assimilation in two land-surface models of different complexity: API and SURFEX. Remote Sensing of Environment. 200:295-310. https//doi.org/10.1016/j.rse.2017.08.022.Development and assessment of the SMAP enhanced passive soil moisture product

                                          
                                       -
(Peer Reviewed Journal)Chan, S., Bindlish, R., O'Neill, P., Jackson, T.J., Njoku, E., Dunbar, R., Chaubell, J., Peipmeier, J., Yueh, S., Entekhabi, D., Colliander, A., Chen, F., Cosh, M.H., Caldwell, T., Walker, J., Berg, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Udall, F., Seyfried, M.S., Bosch, D.D., Starks, P.J., Holifield Collins, C.D., Prueger, J.H., Crow, W.T. 2018. Development and assessment of the SMAP enhanced passive soil moisture product. Remote Sensing of Environment. 204:931-941. https://doi.org/10.1016/j.rse.2017.08.025.Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS

                                       -
(Peer Reviewed Journal)Tobin, K., Torres, R., Crow, W.T., Bennett, M. 2017. Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS. Hydrology and Earth System Sciences. 21:4403-4417. https://doi.org/10.5194/hess-21-4403-2017.Advancements in satellite remote sensing for drought monitoring

                                       -
()L-band microwave remote sensing and land data assimilation improve the representation of pre-storm soil moisture conditions for hydrologic forecasting

                                       -
(Peer Reviewed Journal)Crow, W.T., Chen, F., Reichle, R., Liu, Q. 2017. L-band microwave remote sensing and land data assimilation improve the representation of pre-storm soil moisture conditions for hydrologic forecasting. Geophysical Research Letters. 44(11). https://doi.org/10.1002/2017GL073642.Nonparametric triple collocation

                                       -
(Peer Reviewed Journal)Nearing, G., Yatheendrades, S., Crow, W.T., Bosch, D.D., Cosh, M.H., Goodrich, D.C., Seyfried, M.S., Starks, P.J. 2017. Nonparametric triple collocation. Water Research. 53(7):5516-5530. https://doi.org/10.1002/2017WR020359.Validation and scaling of soil moisture in a semi-arid environment: SMAP Validation Experiment 2015 (SMAPVEX15)

                                       -
(Peer Reviewed Journal)Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Chan, S., Bindlish, R., Chae, C., Holifield Collins, C.D., Yueh, S. 2017. Validation and scaling of soil moisture in a semi-arid environment: SMAP Validation Experiment 2015 (SMAPVEX15). Remote Sensing of Environment. 196:101-112.Use of high resolution remotely sensed evapotranspiration retrievals for calibration of a process-based hydrologic model in data-poor basins

                                       -
(Abstract Only)Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model

                                       -
(Peer Reviewed Journal)Cai, X., Pan, M., Chaney, N., Colliander, A., Misra, S., Cosh, M.H., Crow, W.T., Jackson, T.J., Woodd, E. 2017. Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model. Water Resources Research. 53(4):3013-3028.A review of the applications of ASCAT soil moisture products

                                       -
(Peer Reviewed Journal)Brocca, L., Crow, W.T., Ciabatta, L., Massari, C., De Rosnay, P., Enenkel, M., Hahn, S., Amarnath, G., Camici, S., Tarpanelli, A., Wagner, W. 2017. A review of the applications of ASCAT soil moisture products. International Journal of Applied Earth Observation and Geoinformation. 10(5):2285-2306. https://doi.org/10.1109/JSTARS.2017.2651140.SMAP radiometer-based soil moisture products status and validation

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Chan, S., O'Neill, P., Colliander, A., Chen, F., Crow, W.T., Cosh, M.H. 2017. SMAP radiometer-based soil moisture products status and validation. European Geosciences Union General Assembly Proceedings. CDROM.Impact of tile drainage on evapotranspiration in South Dakota, USA based on high spatiotemporal resolution ET timeseries from a multi-satellite data fusion system

                                       -
(Peer Reviewed Journal)Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P., Meyers, T., Crow, W.T., Finocchiaro, R., Otkin, J., Sun, L., Yang, Y. 2017. Impact of tile drainage on evapotranspiration in South Dakota, USA based on high spatiotemporal resolution ET timeseries from a multi-satellite data fusion system. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2017.2680411.Resolving inter-annual terrestrial water storage variations using microwave-based surface soil moisture retrievals

                                       -
(Peer Reviewed Journal)Crow, W.T., Han.E, Ryu, E., Hain, C., Anderson, M.C. 2017. Resolving inter-annual terrestrial water storage variations using microwave-based surface soil moisture retrievals. Water Resources Research. 21:1849–1862.Inter-comparison of soil moisture, water use and vegetation indices for estimating corn and soybean yields over the U.S.

                                       -
(Peer Reviewed Journal)Mladenova, I., Bolten, J., Crow, W.T., Anderson, M.C., Hain, C., Mueller, R., Johnson, D. 2017. Inter-comparison of soil moisture, water use and vegetation indices for estimating corn and soybean yields over the U.S. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(4):1328-1343.A quasi-global approach to improve day-time satellite surface soil moisture anomalies through land surface temperature input

                                       -
(Peer Reviewed Journal)Parinussa, R., De Jeu, R., Van Der Schalke, R., Crow, W.T., Lei, F., Holmes, T. 2016. A quasi-global approach to improve day-time satellite surface soil moisture anomalies through land surface temperature input. Climate Research. 4(4):50. doi:10.3390/cli4040050.Calibration of a complex watershed model using high resolution remotely sensed evapotranspiration retrievals

                                       -
(Abstract Only)Sharifi, A., Sun, L., Anderson, M.C., Mccarty, G.W., Crow, W.T., Gao, F.N., Sadeghi, A.M. 2016. Calibration of a complex watershed model using high resolution remotely sensed evapotranspiration retrievals. [abstract] American Geophysical Union. San Francisico December 12-16, 2016. CDROM.Impact of tile drainage on evapotranspiration (ET) using long-term daily high resolution ET estimated with a multi-satellite data fusion method

                                       -
(Abstract Only)Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Kustas, W.P., Meyers, T., Wilson, T., Crow, W.T., Sun, L., Yang, Y. 2017. Impact of tile drainage on evapotranspiration (ET) using long-term daily high resolution ET estimated with a multi-satellite data fusion method. American Meteorological Society. 2017 CD-ROM.Precipitation estimation using L-Band and C-Band soil moisture retrievals

                                       -
(Peer Reviewed Journal)Koster, R., Brocca, L., Crow, W.T., Burgin, M., De Lannoy, G. 2016. Precipitation estimation using L-Band and C-Band soil moisture retrievals. Water Resources Research. 52:7213–7225.Rainfall estimation by inverting SMOS soil moisture estimates: a comparison of different methods over Australia

                                       -
(Peer Reviewed Journal)Brocca, Luca, Pellarin, T., Crow, W.T., Ciabattta, L., Massari, C., Ryu,D., Rudiger, C., Kerr, Y. 2016. Rainfall estimation by inverting SMOS soil moisture estimates: a comparison of different methods over Australia. Geophysical Research and Atmosphere. 121:12,062–12,079.Calibration of a complex watershed model using high resolution remotely sensed evapotranspiration retrievals

                                       -
(Abstract Only)Cloud tolerance of remote sensing technologies to measure land surface temperature

                                       -
(Peer Reviewed Journal)Holmes, T., Hain, C., Anderson, M.C., Crow, W.T. 2016. Cloud tolerance of remote sensing technologies to measure land surface temperature. Hydrology and Earth System Sciences. 20:3263-3275. doi:10.5194/hess-20-3263-2016.The impact of vertical measurement depth on the information content of soil moisture for latent heat flux estimation

                                       -
(Peer Reviewed Journal)Qiu, J., Crow, W.T., Nearing, G. 2017. The impact of vertical measurement depth on the information content of soil moisture for latent heat flux estimation. Journal of Hydrometeorology. 17:2419–2430.Dual assimilation of satellite soil moisture to improve flood prediction in ungauged catchments

                                       -
(Peer Reviewed Journal)Alvarez, C., Ryu, D., Western, A., Crow, W.T., Su, C., Robertson, D. 2016. Dual assimilation of satellite soil moisture to improve flood prediction in ungauged catchments. Water Resources Research. 52:5357–5375.Improving streamflow prediction using remotely-sensed soil moisture and snow depth

                                       -
(Peer Reviewed Journal)Lu, H., Crow, W.T., Zhu, Y., Ouyang, F., Su, J. 2016. Improving streamflow prediction using remotely-sensed soil moisture and snow depth. Remote Sensing. 8(6):503.Impact of model relative accuracy in framework of rescaling observations in hydrological data assimilation studies

                                       -
(Peer Reviewed Journal)Yilmaz, M., Crow, W.T., Ryu, D. 2016. Impact of model relative accuracy in framework of rescaling observations in hydrological data assimilation studies. Water Resources Research. 17:2245–2257.Operational hydrological forecasting during the 2 IPHEx-IOP campaign – meet the challenge

                                       -
(Peer Reviewed Journal)Tao, J., Wu, D., Gourley, J., Zhang, S., Crow, W.T., Peters-Lidard, C., Barros, A. 2016. Operational hydrological forecasting during the 2 IPHEx-IOP campaign – meet the challenge. Journal of Hydrology. doi:10.1016/j.jhydrol.2016.02.019.Error sources in passive and active microwave satellite soil moisture over Australia

                                       -
(Peer Reviewed Journal)Su, C., Zhang, J., Gruber, A., Parinussa, R., Ryu, D., Crow, W.T., Wagner, W. 2016. Error sources in passive and active microwave satellite soil moisture over Australia. Remote Sensing of Environment. 182:128-140. doi:10.1016/j.rse.2016.05.008.Application of triple collocation in ground-based validation of soil moisture active/passive (SMAP) level 2 data products

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Colliander, A., Cosh, M.H., Jackson, T.J., Bindlish, R., Reichle, R., Chan, S., Starks, P.J., Goodrich, D.C., Seyfried, M.S. 2016. Application of triple collocation in ground-based validation of soil moisture active/passive (SMAP) level 2 data products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 99:1-14.Assessment of the SMAP level 2 passive soil moisture product

                                       -
(Peer Reviewed Journal)Chan, S., Bindlish, R., O'Neill, P., Njoku, E., Jackson, T.J., Colliander, A., Chen, F., Burgin, M., Dunbar, R., Peipmeier, J., Yueh, S., Entekhabi, D., Cosh, M.H., Caldwell, T., Walker, J., Wu, X., Berg, A., Rowlandson, T., Pacheco, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Gonzalez-Zamora, A., Seyfried, M.S., Bosch, D.D., Starks, P.J., Goodrich, D.C., Prueger, J.H., Palecki, M., Small, E., Zreda, M., Calvet, J., Crow, W.T., Kerr, Y. 2016. Assessment of the SMAP level 2 passive soil moisture product. IEEE Transactions on Geoscience and Remote Sensing. 54(8):1-14. doi:10.1109/TGRS.2016.2561938.SMAP and SMOS soil moisture validation

                                       -
(Abstract Only)Jackson, T.J., Kerr, Y., Colliander, A., Bindlish, R., Cosh, M.H., Burgin, M., Crow, W.T., Chen, F. 2016. SMAP and SMOS soil moisture validation. Meeting Abstract. CD-ROM.Estimating error cross-correlations in soil moisture data sets using extended collocation analysis

                                       -
(Peer Reviewed Journal)Gruber, A., Su, S., Crow, W.T., Zwiebeck, A., Dorigo, Wagner 2016. Estimating error cross-correlations in soil moisture data sets using extended collocation analysis. Journal of Geophysical Research Atmospheres. 121:1208-1219. doi: 10.1002/2015JD024027.Optimal averaging of soil moisture predictions from ensemble land surface model simulations

                                       -
(Peer Reviewed Journal)Crow, W.T., Su, C., Ryu, D., Yilmaz, M. 2015. Optimal averaging of soil moisture predictions from ensemble land surface model simulations. Water Resources Research. 51:9273–9289. doi: 10.1002/2015WR016944.Improving root-zone soil moisture estimations using dynamic root growth and crop phenology

                                       -
(Peer Reviewed Journal)Hashemian, M., Ryu, D., Crow, W.T., Kustas, W.P. 2015. Improving root-zone soil moisture estimations using dynamic root growth and crop phenology. Advances in Water Resources. 86(A):170-183.GCOM-W soil moisture and temperature algorithms and validation

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Holmes, T., Cosh, M.H., Chen, F., Crow, W.T. 2016. GCOM-W Soil Moisture and Temperature Algorithms and Validation. Global Climate Observing Mission Principal Investigators Workshop. January 18-22, 2016, Tokyo, Japan. 2016 CDROMTriple collocation: beyond three estimates and separation of structural/non-structural errors

                                       -
(Peer Reviewed Journal)Pan, M., Fisher, C., Chaney, N., Zhan, W., Aires, F., Crow, W.T., Entekhabi, D., Wood, E. 2015. Triple collocation: beyond three estimates and separation of structural/non-structural errors. Remote Sensing of Environment. 171:299-310.Multi-profile analysis of soil moisture within the U.S. Climate Reference Network

                                       -
(Peer Reviewed Journal)Coopersmith, E.J., Cosh, M.H., Bell, J., Crow, W.T. 2016. Multi-profile analysis of soil moisture within the U.S. Climate Reference Network. Vadose Zone Journal. 15(1). doi: 10.2136/vzj2015.01.0016.Robust estimates of soil moisture and latent heat flux coupling strength obtained from triple collocation

                                       -
(Peer Reviewed Journal)Crow, W.T., Lei, F., Anderson, M.C., Hain, C., Scott, R.L., Billesbach, D., Arkebauer, T. 2015. Robust estimates of soil moisture and latent heat flux coupling strength obtained from triple collocation. Geophysical Research Letters. 42:8415-8423. doi: 10.1002/2015GL065929.The potential of 2D Kalman filtering for soil moisture data assimilation

                                       -
(Peer Reviewed Journal)Gruber, A., Crow, W.T., Dorigo, W., Wagner, W. 2015. The potential of 2D Kalman filtering for soil moisture data assimilation. Remote Sensing of Environment. 171:137-148.The impact of assumed error variances on surface soil moisture and snow depth hydrologic data assimilation

                                       -
(Peer Reviewed Journal)Lu, H., Crow, W.T., Zhu, Y. 2015. The impact of assumed error variances on surface soil moisture and snow depth hydrologic data assimilation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(11):5116-5129. doi: 10.1109/JSTARS.2015.2487740.The impact of acquisition times on the accuracy of microwave soil moisture retrievals over the contiguous U.S.

                                       -
(Peer Reviewed Journal)Lei, F., Crow, W.T., Shen, H., Parinussa, R., Holmes, T. 2015. The impact of acquisition times on the accuracy of microwave soil moisture retrievals over the contiguous U.S. 7(10)13448-13465. doi: 10.3390/rs71013448.Monitoring of water use, drought and yield impacts using imagery from multiple satellites

                                       -
(Abstract Only)Anderson, M.C., Jurecka, F., Trnka, M., Hlavinka, P., Gao, F.N., Hain, C., Yang, Y., Holmes, T.R., Crow, W.T., Kustas, W.P. 2015. Monitoring of water use, drought and yield impacts using imagery from multiple satellites. Meeting Abstract.Evaluation of drought and drought impacts through interdisciplinary methods , abstract for the 2015 InterDrought Project Summer School, Mikulov, Czech Republic, June 7-13 2015. CD-ROM CD-ROM..Scaling an in situ network for high resolution modeling during SMAPVEX15

                                       -
(Abstract Only)Coopersmith, E., Cosh, M.H., Jacobs, J., Jackson, T.J., Crow, W.T., Holifield-Collins, C., Goodrich, D.C., Colliander, A. 2016. Scaling an in situ network for high resolution modeling during SMAPVEX15. American Geophysical Union Fall Meeting, December 14-18, 2015, San Francisco, CA. Abstract # H51I-1506.Recent advances in (soil moisture) triple collocation analysis

                                       -
(Peer Reviewed Journal)Gruber, A., Su, C., Zwiebeck, A., Crow, W.T., Dorigo, W., Wagner, W. 2016. Recent advances in (soil moisture) triple collocation analysis. International Journal of Applied Earth Observation and Geoinformation. 45(B):200-211. doi: 10.1016/j.jag.2015.09.002.Applications of Land Surface Temperature from Microwave Observations

                                       -
(Abstract Only)AIRMOSS MISSION OVERVIEW

                                       -
(Abstract Only)EVALUATING THE APPLICATION OF MICROWAVE-BASED VEGETATION OBSERVATIONS IN AN OPERATIONAL SOIL
MOISTURE DATA ASSIMILATION SYSTEM

                                       -
(Abstract Only)On the problem of re-scaling short-term satellite data records

                                       -
(Abstract Only)Application of triple collocation for the ground-based validation of soil moisture active/passive (SMAP) soil moisture products

                                       -
(Abstract Only)Model accuracy impact through rescaled observations in hydrological data assimilation studies

                                       -
(Abstract Only)Optimal averaging of soil moisture predictions from ensemble land surface model simulations

                                       -
(Abstract Only)Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and
semi-distributed schemes

                                       -
(Peer Reviewed Journal)Alvarez, C., Ryu, D., Su, C., Crow, W.T., Robertson, D., Leahy, C. 2015. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes. Hydrology and Earth System Sciences. 19:1659-1676. doi: 10.5194/hess-19-1659-20151659-1676.On the use of a water balance to evaluate inter-annual terrestrial ET variability

                                       -
(Peer Reviewed Journal)Han, E., Crow, W.T., Hain, C., Anderson, M.C. 2015. On the use of a water balance to evaluate inter-annual terrestrial ET variability. Journal of Hydrometeorology. 16:1102-1108. doi: 10.1175/JHM-D-14-0175.1.Diagnosing neglected soil moisture source/sink processes via a thermal infrared-based two-source energy balance model

                                       -
(Peer Reviewed Journal)Hain, C., Crow, W.T., Anderson, M.C., Yilmaz, M. 2015. Diagnosing neglected soil moisture source/sink processes via a thermal infrared-based two-source energy balance model. Journal of Hydrometeorology. 16:1070-1086. doi: 010.1175/JHM-D-14-0017.1.Application of terrestrial microwave remote sensing to agricultural drought monitoring

                                       -
(Abstract Only)Crow, W.T., Han, E., Bolten, J., Holmes, T. 2015. Application of Terrestrial Microwave Remote Sensing to Agricultural Drought Monitoring [abstract]. American Geophysical Union, Fall Meeting Supplements. Abstract H34D-03.Benchmarking the performance of a land data assimilation system for agricultural drought monitoring

                                       -
(Abstract Only)Crow, W.T., Han, E. 2015. Benchmarking the Performance of a Land Data Assimilation System for Agricultural Drought Monitoring [abstract]. American Geophysical Union, Fall Meeting Supplement. Abstract H12E-03.Impact of rescaling anomaly and seasonal components of soil moisture on hydrologic data assimilation

                                       -
(Abstract Only)Yilmaz, M., Crow, W.T., Ryu, D. 2015. Impact of rescaling anomaly and seasonal components of soil moisture on hydrologic data assimilation [abstract]. American Geophysical Union. Abstract No. H21I-0823.Using microwave observations to estimate land surface temperature during cloudy conditions

                                       -
(Abstract Only)Holmes, T., Crow, W.T., Hain, C., Anderson, M.C. 2015. Using microwave observations to estimate land surface temperature during cloudy conditions. American Geophysical Union Fall Meeting. Abstract No. GC51D-0451.Diagnosing soil moisture anomalies and neglected soil moisture source/sink processes via a thermal infrared-based two-source energy balance model

                                       -
(Abstract Only)Hain, C., Crow, W.T., Anderson, M.C., Yilmaz, M. 2014. Diagnosing soil moisture anomalies and neglected soil moisture source/sink processes via a thermal infrared-based two-source energy balance model [abstract]. American Geophysical Union Fall Meeting Supplment. Abstract No. H31O-06.Improving flood prediction by the assimilation of satellite soil moisture in poorly monitored catchments

                                       -
(Abstract Only)Alvarez, C., Ryu, D., Crow, W.T., Su, C.-H. 2015. Improving flood prediction by the assimilation of satellite soil moisture in poorly monitored catchments [abstract]. American Geophysical Union Fall Meeting Supplement. Abstract H13M-04.The SMAP level 4 surface and root zone soil moisture data assimilation product

                                       -
(Abstract Only)Reichle, R., De Lannoy, G., Crow, W.T., Kimball, J., Koster, R. 2015. The SMAP Level 4 Surface and Root Zone Soil Moisture data assimilation product [abstract]. American Geophysical Union Fall Meeting Supplement. Abstract No.H21I-0827.The impact of temporal auto-correlation mismatch on the assimilation of satellite-derived surface soil moisture retrievals

                                          
                                       -
(Peer Reviewed Journal)Qui, J., Crow, W.T., Mo, X., Liu, S. 2014. The impact of temporal auto-correlation mismatch on the assimilation of satellite-derived surface soil moisture retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(8):3534-3542. DOI: 10.1109/JSTARS.2014.2349354.Leveraging microwave polarization information for calibration of a land data assimilation system

                                          
                                       -
(Peer Reviewed Journal)Holmes, T., Crow, W.T., De Jeu, R. 2014. Leveraging microwave polarization information for calibration of a land data assimilation system. Geophysical Research Letters. 41(24):8878-8886. DOI: 10.1002/2014GL061991.Amplitude of the diurnal temperature cycle as observed by thermal infrared and microwave radiometers

                                       -
(Peer Reviewed Journal)Holmes, T.R., Crow, W.T., Hain, C., Anderson, M.C., Kustas, W.P. 2015. Amplitude of the diurnal temperature cycle as observed by thermal infrared and microwave radiometers. Remote Sensing of Environment. 158:110-125.Stand-alone error characterisation of microwave satellite soil moisture using a Fourier method

                                       -
(Peer Reviewed Journal)Su, C., Ryu, D., Crow, W.T., Western, A. 2014. Stand-alone error characterisation of microwave satellite soil moisture using a Fourier method. Remote Sensing of Environment. 154:115-126. DOI: 10.1016/j.rse.2014.08.014.The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment

                                          
                                       -
(Peer Reviewed Journal)Alvarez, C., Ryu, D., Western, A., Crow, W.T., Robertson, D. 2014. The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment. Journal of Hydrology. 519(D):2763-2774. DOI:10.1016/j.jhydrol.2014.07.041.Challenges for continuity of L-Band observations over land

                                       -
(Abstract Only)Crow, W. T. 2014. Challenges for the continuity of L-band observations over land [abstract]. Proceedings of the 2014 Workshop on the Continuity of L-Band Microwave Observations. CDROM.Simultaneous state and forcing data correction for improved rainfall-runoff modeling

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Ryu, D. 2014. Simultaneous state and forcing data correction for improved rainfall-runoff modeling. Journal of Hydrometeorology. 15(5):1832-1848. DOI: 10.1175/JHM-D-14-0002.1.A parsimonious land data assimilation system for the SMAP/GPM satellite era

                                       -
(Abstract Only)Crow, W.T., Yilmaz, M.T. 2014. A Parsimonious Land Data Assimilation System for the SMAP/GPM Satellite Era [abstract]. 7th International Scientific Conference on the Global Water and Envergy Cycle. Abstract S8.T14.2.The impact of vertical measurement depth on the information content of soil moisture times series data

                                          
                                       -
(Peer Reviewed Journal)Qiu, J., Crow, W.T., Mo, X., Liu, S. 2014. The impact of vertical measurement depth on the information content of soil moisture times series data. Geophysical Research Letters. 41(14):4997-5004. DOI: 10.1002/2014GL060017.An integrated error estimation and lag-aware data assimilation scheme for real-time flood forecasting

                                          
                                       -
(Peer Reviewed Journal)Li, Y., Ryu, D., Western, A., Wang, Q.L., Robertson, D., Crow, W.T. 2014. An integrated error estimation and lag-aware data assimilation scheme for real-time flood forecasting. Journal of Hydrology. 519(D):2722-2736. DOI: 10.1016/j.jhydrol.2014.08.009.Evaluation of assumptions in soil moisture triple collocation analysis

                                          
                                       -
(Peer Reviewed Journal)Yilmaz, M.T., Crow, W.T. 2014. Evaluation of assumptions in soil moisture triple collocation analysis. Journal of Hydrometeorology. 15:1293-1302. DOI:10.1175/JHM-D-0158.1Beyond triple collocation: Applications to satellite soil moisture

                                          
                                       -
(Peer Reviewed Journal)Su, C., Ryu, D., Crow, W.T., Western, A. 2014. Beyond triple collocation: Applications to satellite soil moisture. Journal of Geophysical Research Atmospheres. 119(11):6419-6439. DOI: 10.1102/2013JD021043.A parsimonious data assimilation system for optimally integrating multi-sensor satellite observations over semi-arid areas

                                       -
(Abstract Only)Crow, W.T. 2014. A parsimonious data assimilation system for optimally integrating multi-sensor satellite observations over semi-arid areas [abstract]. Proceedings of the 2014 Texas A&M University Arid Zone Hydrology Workshop, February 27-28, 2014, College Station, Texas. 2014 CDROM.Benchmarking a soil moisture data assimilation system for agricultural drought monitoring

                                          
                                       -
(Peer Reviewed Journal)Han, E., Crow, W.T., Holmes, T.R., Bolten, J. 2014. Benchmarking a soil moisture data assimilation system for agricultural drought monitoring. Journal of Hydrometeorology. 15:1117-1134. DOI: 10.1175/JHM-D-13-0125.1.Some Issues in Validating Satellite-based Soil Moisture Retrievals with In Situ Observations and Their Impact on SMAP Validation

                                       -
()Jackson, T.J., Cosh, M.H., Crow, W.T. 2014. Some issues in validating satellite-based soil moisture retrievals with in situ observations and their Impact on SMAP validation. In: Lakshmi, V. Remote Sensing of the Terrestrial Water Cycle. American Geophysical Union Geophysical Monograph 206. Washington, DC: John Wiley and Sons. p. 247-254.The auto-tuned land data assimilation system (ATLAS)

                                          
                                       -
(Peer Reviewed Journal)Crow, W.T., Yilmaz, M.T. 2014. The auto-tuned land data assimilation system (ATLAS). Water Resources Research. 50(1):371-384. DOI:10.1002/2013WR0145502014Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River Basin

                                          
                                       -
(Peer Reviewed Journal)Yilmaz, M.T., Anderson, M.C., Zaitchik, B.F., Hain, C., Crow, W.T., Ozodogan, M., Chun, J.A., Evans, J. 2014. Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River Basin. Water Resources Research. 50(1):386-408.An observing system simulation experiment (OSSE) for the aquarius/SAC-D soil moisture product

                                          
                                       -
(Peer Reviewed Journal)Bruscantini, C., Crow, W.T., Gringis, F., Perna, P., Maas, M., Karszenbaum, H. 2014. An observing system simulation experiment (OSSE) for the aquarius/SAC-D soil moisture product. IEEE Transactions on Geoscience and Remote Sensing. 50(10):6086-6094. DOI:10.1109/TGARS.2013.2294915.Impact of observation error structure on satellite soil moisture assimilation into a rainfall-runoff model

                                       -
(Proceedings)Alvarez, C., Ryu, D., Western, A., Crow, W.T., Robertson, D. 2014. Impact of observation error structure on satellite soil moisture assimilation into a rainfall-runoff model. Proceedings of the 20th International Congress of Modeling and Simulation. p. 3071-3077.Error characterization of microwave satellite soil moisture data sets using fourier analysis

                                       -
(Proceedings)Su, C.-H., Ryu, D., Western, A., Crow, W.T., Wagner, W. 2013. Error characterization of microwave satellite soil moisture data sets using Fourier analysis. Proceedings of the 20th International Congress of Modeling and Simulation. P. 3120-3126.Error characterization of microwave satellite soil moisture data sets using fourier analysis

                                       -
(Proceedings)Evaluating the performance of a soil moisture data assimilation system for agricultural drought monitoring

                                       -
(Abstract Only)Han, E., Crow, W.T., Holmes, T.R., Bolten, J. 2013. Evaluating the performance of a soil moisture data assimilation system for agricultural drought monitoring [abstract]. Proceedings of the 2013 Fall American Geophysical Union, December 9-13, 2013, San Francisco, CA. 2013 CD ROM.Reconciling diurnal features of thermal-andmicrowave-derived land surface temperature

                                       -
(Abstract Only)Holmes, T.R., Crow, W.T., Hain, C., Anderson, M.C. 2013. Reconciling diurnal features of thermal-andmicrowave-derived land surface temperature [abstract]. Proceedings of the Fall American Geophysical Union, December 9-13, 2013, San Francisco, CA. 2013 CDROM.Information loss in approximately bayesian data assimilation: a comparison of generative and discriminative approaches to estimating agricultural yield

                                          
                                       -
(Peer Reviewed Journal)Nearing, G.S., Gupta, H.V., Crow, W.T. 2013. Information loss in approximately bayesian data assimilation: A comparison of generative and discriminative approaches to estimating agricultural yield. Journal of Hydrology. 507:163-173.Reanalysis of water and carbon cycle models at a critical zone observatory

                                       -
()Yu, X., Duffy, C., Kaye, J. , Crow, W.T., Bhatt, G., Shi, Y. 2013. Reanalysis of water and carbon cycle models at a Critical Zone Observatory. In: Lakshmi, V., Alsdorf, D., Anderson, M., Biancamaria, S., Cosh, M. H., Entin, J., Huffman, G., Kustas, W., van Oevelen, P., Painter, T., Parajka, J., Rodell, M., Rudiger, C. Remote Sensing of the Terrestrial Water Cycle. Hoboken, NJ: John Wiley & Sons, Inc. p.493-510.Effect of forward/inverse model asymmetries over retrieved soil moisture assessed with an OSSE for the Aquarius/SAC-D

                                          
                                       -
(Peer Reviewed Journal)Bruscantini, C., Perna, P., Ferrazoli, P., Gringis, F., Karszenbaum, H., Crow, W.T. 2014. Effect of forward/inverse model asymmetries over retrieved soil moisture assessed with an OSSE for the Aquarius/SAC-D. Journal of Applied Remote Sensing (JARS). 50(1):371-375.Constraining root-zone soil water availability using data assimilation and satellite remote sensing

                                       -
(Abstract Only)Crow, W.T. 2013. Constraining root-zone soil water availability using data assimilation and satellite remote sensing [abstract]. Proceeeding of the 2013 American Society of Agronomy Meeting, November 3-6, 2013, Tampa, Florida. 2013 CDROM.Effects of forcing uncertainties in the improvement skills of assimilating satellite soil moisture retrievals into flood forecasting models

                                       -
(Abstract Only)Alvarez, C., Ryu, D., Western, A., Robertson, D., Crow, W.T., Leahy, C. 2013. Effects of forcing uncertainties in the improvement skills of assimilating satellite soil moisture retrievals into flood forecasting models [abstract]. 2013 International Geoscience and Remote Sensing Symposium Proceedings, July 21-26, 2013, Melbourne, Australia. 2013 CDROM.U.S National cropland soil moisture monitoring using SMAP

                                       -
(Abstract Only)Yang, Z., Mueller, R., Crow, W.T. 2013. U.S National cropland soil moisture monitoring using SMAP [abstract]. International Geoscience and Remote Sensing Symposium, July 21-26, 2013, Melbourne, Australia. 2013 CDROM.Using SMOS obervations for science development of the SMAP level 4 surface and root zone soil moisture algorithm

                                       -
(Abstract Only)Reichle, R., De Lannoy, G., Crow, W.T., Kimball, J., Koster, R., Li, Q., Draper, C. 2013. Using SMOS obervations for science development of the SMAP level 4 surface and root zone soil moisture algorithm. 2013 International Geoscience and Remote Sensing Symposium [abstract]. July 21-26, 2013, Melbourne, Australia. 2013 CDROM.Application of the Auto-Tuned Land Assimilation System (ATLAS) to ASCAT and SMOS soil moisture retrieval products

                                       -
(Abstract Only)Crow, W.T., Yilmaz, T. 2013. Application of the Auto-Tuned Land Assimilation System (ATLAS) to ASCAT and SMOS soil moisture retrieval products. Proceeding of the 2013 International Geoscience and Remote Sensing Symposium [abstract] . July 21-26, 2013, Melbourne, Australia. 2013 CDROM.Leveraging simultaneous SMOS and ASCAT soil moisture products for enhanced hydrologic prediction

                                       -
(Abstract Only)Crow, W.T., Chen, F. 2013. Leveraging simultaneous SMOS and ASCAT soil moisture products for enhanced hydrologic prediction [abstract]. Proceeding of the 2013 Geoscience and Remote Sensing Symposium, July 21-26, 2013, Melbourne, Australia. 2013 CDROM.Timing of the diurmal temperature cycle in remote sensing and model

                                          
                                       -
(Peer Reviewed Journal)Holmes, T.R., Crow, W.T., Hain, C. 2013. Timing of the diurmal temperature cycle in remote sensing and model. Hydrology and Earth System Sciences. 17:3695-3706.The potential utility of land surface modeling and data assimilation for satellite soil moisture validation activities

                                       -
(Abstract Only)Crow, W.T. 2013. The potential utility of land surface modeling and data assimilation for satellite soil moisture validation activities [abstract]. Proceeding of the 2013 European Space Agency Satellite Soil Moisture & Validation & Application Workshop, July 1-3, 2013, Frascati, Italy. 2013 CDROM.Benchmarking a soil moisture data assimilation system for agricultural drought monitoring

                                       -
(Abstract Only)Han, E., Crow, W.T., Holmes, T.R., Bolten, J. 2013. Benchmarking a soil moisture data assimilation system for agricultural drought monitoring [abstarct]. 2013 BARC Poster Day, April 18, 2013, Beltsville, MD.Estimating potential evapotranspiration with improved radiation estimation

                                       -
(Abstract Only)Qiu, J., Liu, S., Mo, X., Crow, W.T. 2013. Estimating potential evapotranspiration with improved radiation estimation [abstract]. 2013 BARC Poster Day, April 18, 2013, Beltsville, MD.An objective methodology to optimally merge satellite and model-based soil moisture products for obtaining a new droght product

                                       -
(Abstract Only)Yilmaz, M.T., Crow, W.T., Anderson, M.C., Hain, C. 2012. An objective methodology to optimally merge satellite and model-based soil moisture products for obtaining a new droght product [abstract]. American Meteorological Society. 2012 CDROM.Enhancing model-based land surface temperature estimates using multi-platform microwave remote sensing products

                                       -
(Peer Reviewed Journal)Holmes, T.R., Crow, W.T., Yilmaz, M.T., Jackson, T.J. 2012. Enhancing model-based land surface temperature estimates using multi-platform microwave remote sensing products. Journal of Geophysical Research Atmospheres. 11:577-591.Improving long-term global precipitation dataset using multi-sensor surface soil moisture retrievals and the soil moisture analysis rainfall tool (SMART)

                                       -
(Abstract Only)Chen, F., Crow, W.T., Holmes, T.R. 2012. Improving long-term global precipitation dataset using multi-sensor surface soil moisture retrievals and the soil moisture analysis rainfall tool (SMART)[abstract]. 2012 Fall American Geophysical Union. 2012 CDROM.Relative skills of soil moisture and vegetation optical depth retrievals for agricultural drought monitoring

                                       -
(Abstract Only)Han, E., Crow, W.T., Holmes, T.R., Bolten, J. 2012. Relative skills of soil moisture and vegetation optical depth retrievals for agricultural drought monitoring[abstract]. American Geophysical Union. 2012 CDROM.Comparison of prognostic and diagnostic approached to modeling evapotranspiration in the Nile river basin

                                       -
(Abstract Only)Yilmaz, M.T., Anderson, M.C., Zaitchik, B.F., Crow, W.T., Hain, C., Ozdogan, M., Chun, J.A. 2012. Comparison of prognostic and diagnostic approached to modeling evapotranspiration in the Nile river basin [abstract]. 2012 Fall Meeting of the American Geophysical Union, December 3-7, 2012, San Francisco, CA.Benchmarking LSM root-zone soil mositure predictions using satellite-based vegetation indices

                                       -
(Abstract Only)Crow, W.T., Bolten, J., Kumar, S. 2013. Benchmarking LSM root-zone soil mositure predictions using satellite-based vegetation indices[abstrat]. 2011 SMOS Science Workshop. 2011 CDROM.The optimality of potential rescaling approaches in land data assimilation

                                       -
(Abstract Only)Yilmaz, M.T., Crow, W.T. 2013. The optimality of potential rescaling approaches in land data assimilation[abstract]. 2012 American Meteorological Society Joint Meeting. 2013 CDROM.Overview of the NASA soil moisture active/passive mission

                                       -
(Abstract Only)Crow, W.T., Entekhabi, D., Kellogg, K., Njoku, E., O'Neill, P.E. 2012. Overview of the NASA soil moisture active/passive mission[abstract]. 2012 American Meteorological Society Joint Meeting. 2013 CDROM.The optimality of potential rescaling approaches in land data assimilation

                                       -
(Peer Reviewed Journal)Yilmaz, M.T., Crow, W.T. 2013. The optimality of potential rescaling approaches in land data assimilation. Journal of Hydrometeorology. 14:650-660.An EnKF dual assimilation of thermal-infrared and microwave satellite observations of soil moisture into the Noah land surface model

                                       -
(Peer Reviewed Journal)Hain, C., Crow, W.T., Anderson, M.C., Mecikalski, J. 2012. An EnKF dual assimilation of thermal-infrared and microwave satellite observations of soil moisture into the Noah land surface model. Water Resources Research. DOI: 10.1029/2011WR011268.Monitoring vegetative land cover and water use using satellite imagery

                                       -
(Abstract Only)Gao, F.N., Anderson, M.C., Kustas, W.P., Crow, W.T. 2012. Monitoring vegetative land cover and water use using satellite imagery. Meeting Abstract. 2012 CDROM.An objective methodology for merging satellite and model-based soil moisture products

                                       -
(Peer Reviewed Journal)Yilmaz, M.T., Crow, W.T., Anderson, M.C., Hain, C. 2012. An objective methodology for merging satellite and model-based soil moisture products. Water Resources Research. DOI:10.1029/2011WR011682.Improving long-term, retrospective precipitation datasets using satellite-based surface soil moisture retrievals and the soil moisture analysis rainfall tool (SMART)

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Holmes, T.R. 2012. Improving long-term, retrospective precipitation datasets using satellite-based surface soil moisture retrievals and the soil moisture analysis rainfall tool (SMART). Journal of Applied Remote Sensing (JARS). 6(1):603-604.Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture

                                       -
(Peer Reviewed Journal)Bolten, J., Crow, W.T. 2012. Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture. Geophysical Research Letters. 39(19):L19406.On the utility of land surface models for agricultural drought monitoring

                                       -
(Peer Reviewed Journal)Crow, W.T., Gupta, S.V., Bolten, J. 2012. On the utility of land surface models for agricultural drought monitoring. Hydrology and Earth System Sciences. 16(9):3451-2460.Assessing pre-launch application feasibility using the SMAP science data system algorithm and application simulation testbed

                                       -
(Abstract Only)Crow, W.T., Njoku, E., Dunbar, R.S., Chen, S.K. 2012. Assessing pre-launch application feasibility using the SMAP science data system algorithm and application simulation testbed[abstract]. 2013 International Geoscience and Remote Sensing Symposium. 2011 CDROM.Improved forecasting of global vegetation conditions using remotely-sensed surface soil moisture

                                       -
(Abstract Only)Crow, W.T., Bolten, J. 2012. Improved forecasting of global vegetation conditions using remotely-sensed surface soil moisture[abstract]. International Geoscience and Remote Sensing Symposium. 2012 CDROM.Strategies for minimizing the impact of systematic errors on land data assimilation

                                       -
(Abstract Only)An observing system simulation experiment (OSSE) for the aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries

                                       -
(Abstract Only)Perna, P., Bruscantini, C., Ferrazoli, P., Gringis, F., Karszenbaum, H., Crow, W.T. 2012. An observing system simulation experiment (OSSE) for the aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries [abstract]. Proceedings of the 2012 International Geoscience & Remote Sensing Symposium, July 22-27, 2012, Munich, Germany. 2012 CDROM.Utilization of point soil moisture measurements for field scale soil moisture averages and variances in agricultural landscapes

                                       -
(Abstract Only)Han, E., Heathman, G.C., Merwade, V., Crow, W.T. 2012. Utilization of point soil moisture measurements for field scale soil moisture averages and variances in agricultural landscapes[abstract]. BARC Poster Day. No. 28.An objective methodology for merging satellite-and model-based soil moisture products

                                       -
(Abstract Only)Yilmaz, M.T., Crow, W.T., Anderson, M.C., Hain, C. 2012. An objective methodology for merging satellite-and model-based soil moisture products. BARC Poster Day. Abs. 56. BARC Poster Day.An approach to quantifying the efficiency of a Bayesian filter

                                          
                                       -
(Peer Reviewed Journal)Nearing, G.S., Gupta, H.V., Crow, W.T., Gong, W. 2013. An approach to quantifying the efficiency of a Bayesian filter. Water Resources Research. 49(4):2164-2173. DOI: 10.1002/wrcr.20177.Upscaling sparse ground-based soil moisture observations for the validation of satellite surface soil moisture products

                                       -
()Crow, W.T., Berg, A., Cosh, M.H., Loew, A., Mohanty, B., Panciera, R., De Rosnay, P., Ryu, D., Walker, J. 2012. Upscaling sparse ground-based soil moisture observations for the validation of satellite surface soil moisture products. Review of Geophysics. DOI: 10.1029/2011RG000372.Large scale evaluation of soil moisture retrievals from passive microwave observations

                                       -
(Abstract Only)Parinussa, R.M., Holmes, T.R., Crow, W.T., De Jeu, R. 2012. Large scale evaluation of soil moisture retrievals from passive microwave observations [abstract]. Meeting Abstract. 2012 CDROM.Improving satellite rainfall accumulation using multiple microwave satellite soil moisture products is Australia

                                       -
(Abstract Only)Crow, W.T., Ryu, D. 2012. Improving satellite rainfall accumulation using multiple microwave satellite soil moisture products is Australia [abstract]. Meeting Abstract. 2012 CDROM.The EV-1 airborne microwave observatory of subcanopy and subsurface (AirMOSS) investigation

                                       -
(Abstract Only)Freeman, T., Moghaddam, M., Lou, Y., Crow, W.T., Cuenca, R., Entekhabi, D., Henlsey, S., Hollinger, D., Moorcroft, P., Reichle, R., Saatchi, S., Shepson, P., Wofsy, S. 2012. The EV-1 airborne microwave observatory of subcanopy and subsurface (AirMOSS) investigation. Meeting Abstract. 2012 CDROM.Using NLDAS-2 for initializing integrated watershed models: Model spin-up for the AirMOSS Campaign

                                       -
(Abstract Only)Yu, X., Duffy, C., Crow, W.T., Milak, S., Bhatt, G., Shi, Y. 2012. Using NLDAS-2 for initializing integrated watershed models: Model spin-up for the AirMOSS Campaign. Meeting Abstract. 2012 CDROM.Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment

                                       -
(Peer Reviewed Journal)Nearing, G.S., Crow, W.T., Thorp, K.R., Moran, M.S., Reichle, R., Gupta, H.V. 2012. Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment. Water Resources Research. 48 W05525.Online vegetation opacity parameter estimation over Little Washita watershed using AMSR-E passive microwave observations

                                       -
(Abstract Only)Fitzmaurice, J.A., Crow, W.T. 2012. Online vegetation opacity parameter estimation over Little Washita watershed using AMSR-E passive microwave observations [abstract]. Meeting Abstract. 2012 CDROM.Offline land surface temperature assimilation in mumerical weather prediction output

                                       -
(Abstract Only)Holmes, T.R., Crow, W.T. 2012. Offline land surface temperature assimilation in mumerical weather prediction output [abstract]. Meeting Abstract. 2012 CDROM.An EnKF Dual assimilation of thermal-infrared and microwave satellite observations of soil moisture into the Noah land surface model

                                       -
(Abstract Only)Hain, C., Crow, W.T., Anderson, M.C., Mecikalski, J. 2012. An EnKF Dual assimilation of thermal-infrared and microwave satellite observations of soil moisture into the Noah land surface model [abstract]. Meeting Abstract. 2012 CDROM.Treatment of systematic errors in land data assimilation systems

                                       -
(Abstract Only)Crow, W.T., Yilmaz, M.T. 2012. Treatment of systematic errors in land data assimilation systems [abstract]. American Geophysical Union. 2012 CDROM.Correcting errors in catchment-scale satellite rainfall accumulation using microwave satellite soil moisture products

                                       -
(Abstract Only)Ryu, D., Crow, W.T. 2011. Correcting errors in catchment-scale satellite rainfall accumulation using microwave satellite soil moisture products [abstract]. Meeting Abstract. 2012 CDROM.Evaluating the application of multi-satellite observation in hydrologic modeling

                                       -
(Abstract Only)Bolten, J., Crow, W.T., Rodell, M., Zaitchik, B.F., Ozdogan, M., Anderson, M.C. 2012. Evaluating the application of multi-satellite observation in hydrologic modeling [abstract]. Meeting Abstract. 2012 CDROM.Dual assimilation of microwave and thermal-infrared satellite observations of soil moisture into NLDAS for improved drought monitoring

                                       -
(Abstract Only)Hain, C., Crow, W.T., Anderson, M.C., Zhan, X., Wardlow, B., Svoboda, M., Mecikalski, J. 2011. Dual assimilation of microwave and thermal-infrared satellite observations of soil moisture into NLDAS for improved drought monitoring [abstract]. Meeting Abstract. 2012 CDROM.The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations

                                       -
(Peer Reviewed Journal)Parinussa, R., Holmes, T.R., Crow, W.T. 2011. The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations. Hydrology and Earth System Sciences. 15(10):3135-3151.Enhancing agricultural forecasting using SMOS surface soil moisture retrievals

                                       -
(Abstract Only)Crow, W.T., Bolten, J. 2011. Enhancing agricultural forecasting using SMOS surface soil moisture retrievals [abstract]. Proceedings of 2011 SMOS Science Workshop, September 27-29, 2011. Arles , France. 2011 CDROMCorrecting rainfall using satellite-based surfae soil moisture retrievals: The soil moisture analysis rainfall tool(SMART)

                                       -
(Peer Reviewed Journal)Crow, W.T., Van Den Berg, M.J., Huffman, G.J., Pellarin, T. 2011. Correcting rainfall using satellite-based surfae soil moisture retrievals: The soil moisture analysis rainfall tool(SMART). Water Resources Research. 47:W08521. DOI: 10.1029/2011WR010576.Using SMOS observations in the development of the SMAP level 4 surface and root-zone soil moisture project

                                       -
(Abstract Only)Reichle, R., De Lannoy, G., Crow, W.T., Koster, R., Kimball, J. 2011. Using SMOS observations in the development of the SMAP level 4 surface and root-zone soil moisture project. International Geoscience and Remote Sensing Symposium Proceedings. August 1-5, 2011. 2011 CDROM.The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system

                                       -
(Peer Reviewed Journal)Liu, Q., Reichle, R., Bindlish, R., Cosh, M.H., Crow, W.T., De Jeu, R., De Lannoy, G., Huffman, G., Jackson, T.J. 2011. The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system. Journal of Hydrometeorology. 12:750-765.Enhancing begetation productivity forecasting using remotely-sensed surface soil moisture retrievals

                                       -
(Abstract Only)Crow, W.T., Bolten, J. 2011. Enhancing begetation productivity forecasting using remotely-sensed surface soil moisture retrievals. International Geoscience and Remote Sensing Symposium Proceedings. August 1-5, 2011. CDROM.An intercomparison of available soil moisture estimates from thermal-infrared and passive microwave remote sensing and land-surface modeling

                                       -
(Peer Reviewed Journal)Hain, C.R., Crow, W.T., Mecikalski, J.R., Anderson, M.C., Holmes, T.R. 2011. An intercomparison of available soil moisture estimates from thermal-infrared and passive microwave remote sensing and land-surface modeling. Journal of Geophysical Research Atmospheres. 116:D15107.In situ validation issues in the soil moisture active passive (SMAP) satellite mission

                                       -
(Abstract Only)Jackson, T.J., Cosh, M.H., Colliander, A., Walker, J., Crow, W.T. 2011. In situ validation issues in the soil moisture active passive (SMAP) satellite mission [abstract]. 34th International Symposium on Remonte Sensing of Environment. 2011 CDROM.Using scatterometer-based surface soil moisture products to optimally calibrate land data assimilation systems

                                       -
(Abstract Only)Crow, W.T. 2011. Using scatterometer-based surface soil moisture products to optimally calibrate land data assimilation systems [abstract]. EUMETS/ESA Scatterometer Science Conference. 2011 CDROM.Using USDA ALEXI evapotranspiration product to obtain skillful water budget estimations over Nile river basin

                                       -
(Abstract Only)Yilmaz, M.T., Crow, W.T., Anderson, M.C. 2011. Using USDA ALEXI evapotranspiration product to obtain skillful water budget estimations over Nile river basin. BARC Poster Day, April 27, 2011. Beltsville, MD.Development of a continuous multi-satellite land surface temperature product

                                       -
(Abstract Only)Holmes, T.R., Crow, W.T., Jackson, T.J. 2011. Development of a continuous multi-satellite land surface temperature product [abstract]. Abs. 15. BARC Poster Day.Soil moisture retrievals from the WindSat spaceborne polarimetric microwave radiometer

                                       -
(Abstract Only)Parinussa, R.M., Holmes, T.R., De Jeu, R.A., Crow, W.T. 2011. Soil moisture retrievals from the WindSat spaceborne polarimetric microwave radiometer [abstract]. Abs. 40. BARC Poster Day.In situ validation of the soil moisture active passive (SMAP) satellite mission

                                       -
(Proceedings)Jackson, T.J., Cosh, M.H., Colliander, A., Walker, J., Crow, W.T. 2011. In situ validation of the soil moisture active passive (SMAP) satellite mission. International Symposium on Remote Sensing Proceedings. 2011 CDROM.Why different passive microwave algorithms give different soil moisture retrievals

                                       -
(Abstract Only)Zhan, X., Liu, J., Holmes, T.R., Crow, W.T., Jackson, T.J., Chan, S. 2011. Why different passive microwave algorithms give different soil moisture retrievals. International Geoscience and Remote Sensing Symposium Proceedings. August 1-5, 2011, Sendai, Japan. 2011 CDROM.Estimating model and observation error covariance information for land data assimilation systems

                                       -
()Crow, W.T. 2013. Estimating model and observation error covariance information for land data assimilation systems. In: S. Liang, X. Li and X. Xie, editors. Land Surface Observation, Modeling and Data Assimilation. Washington, DC: World Scientific Publishing Company. p. 171-205.Importance of Verticle Coupling in Agricultural Models on Assimilation of Satellite-derived Soil Moisture

                                       -
(Abstract Only)Mladenova, I., Crow, W.T., Teng, B., Doraiswamy, P.C. 2011. Importance of verticle coupling in agricultural models on assimilation of satellite-derived soil moisture [abstract]. American Geophysical Union. 2011 CDROM.Online vegetation parameter estimation using passive microwave observations for soil moisture estimation

                                       -
(Abstract Only)Fitzmaurice, J.A., Crow, W.T. 2011. Online vegetation parameter estimation using passive microwave observations for soil moisture estimation [abstract]. American Meteorological Society. 2011 CDROM.Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Starks, P.J., Moriasi, D.N. 2011. Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture. Advances in Water Resources. 34:526-536.Assesment of a soil moisture retrieval with numerical weather prediction model temperature

                                       -
(Proceedings)Potential for improved crop yield prediction through assimilation of satellite-derived soil moisture data

                                       -
(Proceedings)Evaluating Remotely-Sensed Surface Soil Moisture Estimates Using Triple Collocation

                                       -
(Proceedings)A technique for estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations

                                       -
(Peer Reviewed Journal)Mirrales, D., Crow, W.T., Cosh, M.H. 2010. A technique for estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. Journal of Hydrometeorology. 11:1423-1429.Assimilating Remotely Sensed Surface Soil Moisture into SWAT using Ensemble Kalman Filter

                                       -
(Proceedings)Chen, F., Crow, W.T., Starks, P.J., Moriasi, D.N. 2010. Assimilating remotely sensed surface soil moisture into SWAT using Ensemble Kalman Filter. In: Proceedings of the Watershed Management Conference, August 23-27, 2010, Madison, Wisconsin. 2010 CDROM.The SMAP Science Data System Algorithm and Application Simulation Testbed

                                       -
(Abstract Only)Crow, W.T., Njoku, E., Dunbar, S., Chan, S. 2010. The SMAP science data system algorithm and application simulation testbed [abstract]. International Geoscience and Remote Sensing Symposium Proceedings. 2010 CDROM.Inferring the impact of radar incidence angle on soil moisture retrieval skill using data assimilation

                                       -
(Proceedings)Crow, W.T., Wagner, W., Naemi, V., Wien, T. 2010. Inferring the impact of radar incidence angle on soil moisture retrieval skill using data assimilation. In: Proceedings of the International Geoscience and Remote Sensing Symposium Proceedings, July 25-30, 2010, Honolulu, Hawaii. 2010 CDROM.An improved approach for estimating observation and model error parameters for soil moisture data assimilation

                                       -
(Peer Reviewed Journal)Crow, W.T., Van Den Berg, M.J. 2010. An improved approach for estimating observation and model error parameters for soil moisture data assimilation. Water Resources Research. 46:W12519-1 - W12519-12.Online vegetation parameter estimation using passive microwave remote sensing observations

                                       -
(Abstract Only)Fitzmaurice, J.A., Crow, W.T. 2010. Online vegetation parameter estimation using passive microwave remote sensing observations [abstract]. International Association of Hydrological Science. p. 26.Evaluating Remotely-Sensed Soil Moisture Retrievals Using Triple Collocation Techniques

                                       -
(Abstract Only)Crow, W.T., Miralles, D., Cosh, M.H. 2010. Evaluating remotely-sensed soil moisture retrievals using triple collocation techniques [abstract]. 2010 IAHS Remote Sensing and Hydrology Symposium. p. 79.Potential for Improved Crop Yield Prediction Through Assimilation of Satellite-Derived Soil Moisture Data

                                       -
(Abstract Only)Mladenova, I., Doraiswamy, P.C., Teng, B., Crow, W.T. 2010. Potential for improved crop yield prediction through assimilation of satellite-derived soil moisture data [abstract]. Remote Sensing and Hydrology Symposium. 2010 CDROM.The Soil Moisture Analysis Rainfall Tool (SMART): Correcting satellite-based precipitation using land data assimilation

                                       -
(Abstract Only)Crow, W.T. 2010. The Soil Moisture Analysis Rainfall Tool (SMART): Correcting satellite-based precipitation using land data assimilation [abstract]. 2010 IAHS Remote Sensing and Hydrology Symposium. p. 25.A Multi Satellite Temperature Product for the Interpretation of L Band Observations

                                       -
(Abstract Only)Holmes, T.R., Jackson, T.J., Crow, W.T., De Jeu, R. 2010. A multi satellite temperature product for the interpretation of L Band observations [abstract]. 2010 IAHS Remote Sensing and Hydrology Symposium. p. 82.Microwave Soil Moisture Retrieval Under Trees Using a Modified Tau-Omega Model

                                       -
(Proceedings)Bolten, J., Crow, W.T., Zhan, X., Jackson, T.J., Reynolds, C. 2010. Microwave soil moisture retrieval under trees using a modified Tau-Omega Model. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 25-30, 2010, Honolulu, Hawaii. 2010 CDROM.Recent advances in land data assimilation for remote sensing observations

                                       -
(Abstract Only)Crow, W.T. 2010. Recent advances in land data assimilation for remote sensing observations [abstract]. Online Proceedings of the French-American Symposium on Developing Partnerships for Sustainable Water Management and Agriculture in the context of Climate and Global Change. 2010 CDROM.Assimilation of Satellite Remote Sensing Retrievals into Land Surface Models

                                       -
(Abstract Only)Crow, W.T. 2010. Assimilation of satellite remote sensing retrievals into land surface models [abstract]. Proceedings of the 40th Biological Systems Simulation Conference. 2010 CDROM.Online Vegetation Parameter Estimation in Passive Microwave Regime for Soil Moisture Estimation

                                       -
(Abstract Only)Fitzmaurice, J.A., Crow, W.T. 2010. Online vegetation parameter estimation in passive microwave regime for soil moisture estimation [abstract]. Abs. 13, BARC Poster Day.Soil Moisture Active Passive (SMAP) Calibration and validation plan and current activities

                                       -
(Proceedings)Jackson, T.J., Cosh, M.H., Bindlish, R., Crow, W.T., Colliander, A., Njoku, E., McDonald, K., Kimball, J.S., Belair, S., Walker, J., Panciera, R., Entekhabi, D., O'Neill, P. 2010. Soil Moisture Active Passive (SMAP) calibration and validation plan and current activities. In Proceedings of the International Geoscience and Remote Sensing Symposium Proceedings, July 25-30, 2010, Honolulu, Hawaii. 2010 CDROM.Global High Resolution Mapping and Assimilation of Soil Moisture Observations for the SMAP Radar and Radiometer

                                       -
(Abstract Only)Reichle, R.H., Crow, W.T., Entekhabi, D., Kimball, J., Koster, R., Njoku, E., O'Neill, P. 2010. Global high resolution mapping and assimilation of soil moisture observations for the SMAP radar and radiometer [abstract]. European Geosciences Union General Assembly Proceedings. 2010 CDROM.The SMAP Level 4 surface and root-zone soil moisture product

                                       -
(Abstract Only)Crow, W.T., Reichle, R., Koster, R., Kimball, J. 2010. The SMAP Level 4 surface and root-zone soil moisture product [abstract]. Online Proceedings of the NASA Terrestrial Ecology Program Workshop. 2010 CDROM.Potential of improving flow modeling with SWAT using remotely sensed soil moisture retrievals

                                       -
(Abstract Only)Chen, F., Crow, W.T. 2010. Potential of improving flow modeling with SWAT using remotely sensed soil moisture retrievals [abstract]. Watershed Management Conference Proceedings. 2010 CDROM.Performance Metrics for Soil Moisture Retrievals and Applications Requirements

                                       -
(Peer Reviewed Journal)Entekhabi, D., Reichle, R.H., Crow, W.T., Koster, R.D. 2010. Performance metrics for soil moisture retrievals and applications requirements. Journal of Hydrometeorology. 11:832-840.Acquiring observation error covariance information for land data assimilation systems

                                       -
(Abstract Only)Crow, W.T. 2010. Acquiring observation error covariance information for land data assimilation systems [abstract]. American Meteorological Society. 2010 CDROM.A quasi-global evaluation system for satellite-based surface soil moisture retrievals

                                       -
(Peer Reviewed Journal)Crow, W.T., Mirrales, D.G., Cosh, M.H. 2010. A quasi-global evaluation system for satellite-based surface soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing. 48(6):2516-2527.The impact of radar incidence angle on soil moisture retrieval skill

                                       -
(Peer Reviewed Journal)Crow, W.T., Wagner, W., Naeimi, V. 2010. The impact of radar incidence angle on soil moisture retrieval skill. Geoscience and Remote Sensing Letters. 7(3):501-505.Estimating root-zone soil moisture via the simultaneous assimilation of thermal and microwave soil moisture retrievals

                                       -
(Peer Reviewed Journal)Li, F., Crow, W.T., Kustas, W.P. 2010. Estimating root-zone soil moisture via the simultaneous assimilation of thermal and microwave soil moisture retrievals. Advances in Water Resources. 33:201-214.Informing radar retrieval algorithm development using an alterntaive soil moisture validation technique

                                       -
(Abstract Only)Crow, W.T., Wolfgang, W., Naeimi, V. 2009. Informing radar retrieval algorithm development using an alternative soil moisture validation technique [abstract]. American Geophysical Union. 89(53):H11G-01.Land Data Assimilation Activities in Preparation of the NASA Soil Moisture Active Passive (SMAP)Mission

                                       -
(Proceedings)Crow, W.T., Reichle, R., Koster, R. Land data assimilation activities in preparation of the NASA Soil Moisture Active Passive (SMAP) Mission. In: Proceedings of the World Meteorological Organization, October 10-13, 2009, Melbourne, Australia. 2009 CDROM.Enhancing Adaptive Filtering Approaches for Land Data Assimilation Systems

                                       -
(Abstract Only)Crow, W.T., Reichle, R. 2009. Enhancing adaptive filtering approaches for land data assimilation systems [abstract]. World Meteorological Organization Data Assimilation Symposium. 2009 CDROM.Land Data Assimilation Activities in Preparation of the NASA Soil Moisture Active Passive (SMAP) Mission

                                       -
(Abstract Only)Crow, W.T., Reichle, R. 2009. Land data assimilation activities in preparation of the NASA Soil Moisture Active Passive (SMAP) Mission [abstract]. WMO Data Assimilation Symposium. 2009 CDROM.Continental-Scale Evaluation of Assimilated Soil Moisture Retrievals From the Advanced Microwave Scanning Radiometer

                                       -
(Peer Reviewed Journal)Bolten, J.D., Crow, W.T., Jackson, T.J., Zhan, X., Reynolds, C.A. 2010. Continental-Scale evaluation of assimilated soil moisture retrievals from the advanced microwave scanning radiometer. Geoscience and Remote Sensing Letters. 3:57-66.Role of subsurface physics in the assimilation of surface soil moisture observations

                                       -
(Peer Reviewed Journal)Kumar, S.V., Reichle, R.H., Koster, R.D., Crow, W.T., Peters-Lidard, C.D. 2009. Role of subsurface physics in the assimilation of surface soil moisture observations. Journal of Hydrometeorology. dx.doi.org/10.1175/2009JHM1134.1.Multi-Objective Calibrationo of Hydrologic Model Using Satellite Data

                                       -
(Abstract Only)Chen, F., Crow, W.T. 2009. Multi-objective calibration of hydrologic model using satellite data [abstract]. Abs. 10, BARC Poster Day.Enhanced Surface Water and Energy Flux Calculation through the Integration of Thermal Remote Sensing Retrievals with Land Surface Models

                                       -
(Abstract Only)Crow, W.T., Anderson, M.C., Kustas, W.P. 2009. Enhanced surface water and energy flux calculation through the integration of thermal remote sensing retrievals with land surface models [abstract]. International Conference on Land Surface Radiation and Energy Budgets: Observations, Modeling and Analysis. 2009 CDROM.The Soil Moisture Active and Passive (SMAP) Mission

                                       -
(Peer Reviewed Journal)Entekhabi, D., Njoku, E.G., O'Neill, P.E., Kellogg, K.H., Crow, W.T., Edelstein, W.N., Entin, J.K., Goodman, S.D., Jackson, T.J., Johnson, J., Kimball, J., Peipmeier, J.R., Koster, R.D., McDonald, K.C., Moghaddam, M., Moran, M.S., Reichle, R., Shi, J.C., Spencer, M.W., Thurman, S.W. 2009. The Soil Moisture Active and Passive (SMAP) Mission. Proceedings of the IEEE. 98(5):704-716.The Development of Terrestrial Water Cycle Applications for SMAP Soil Moisture Data Products

                                       -
(Abstract Only)Crow, W.T., Bolten, J.D., Ryu, D. 2009. The development of terrestrial water cycle applications for SMAP Soil Moisture Data Products [abstract]. American Geophysical Union. 89(53).A New Data Assimilation Framework for Enhancing Hydrologic Predictions using Remotely-Sensed Surface Soil Moisture Retrievals

                                       -
(Abstract Only)Crow, W.T., Ryu, D. 2009. A new data assimilation framework for enhancing hydrologic predictions using remotely-sensed surface soil moisture retrievals [abstract]. American Meteorological Society. http://ams.confex.com/ams/89annual/techprogram/paper_148648.htm.Correcting unintended perturbation biases in hydrologic data assimilation using Ensemble Kalman filter

                                       -
(Peer Reviewed Journal)Ryu, D., Crow, W.T., Zhan, X., Jackson, T.J. 2009. Correcting unintended perturbation biases in hydrologic data assimilation using Ensemble Kalman filter. Journal of Hydrometeorology. 10(3):734-750.A new data assimilation approach for improving hydrologic prediction using remotely-sensed soil moisture retrievals

                                       -
(Peer Reviewed Journal)Crow, W.T., Ryu, D. 2009. A new data assimilation approach for improving hydrologic prediction using remotely-sensed soil moisture retrievals. Hydrology and Earth Systems Sciences. 13:1-16.Evaluation of a Soil Moisture Data Assimilation System Over the Conterminous United States

                                       -
(Abstract Only)Bolten, J.D., Crow, W.T., Jackson, T.J., Zhan, X., Reynolds, C.A. 2008. Evaluation of a soil moisture data assimilation system over the conterminous United States [abstract]. American Geophysical Union. 89(53).Implementation of a global-scale operational data assimilation system for satellite-based soil moisture retrievals

                                       -
(Proceedings)Bolten, J.D., Crow, W.T., Zhan, X., Reynolds, C.A. 2008. Implementation of a global-scale operational data assimilation system for satellite-based soil moisture retrievals. 2008 SPIE Optics and Photonics Conference, August 10-14, 2008, San Diego, California. 2008 CDROM.Integration of Satellite-retrieved soil moisture observations with a global two-layer soil moisture model

                                       -
(Proceedings)Bolten, J.D., Crow, W.T., Zhan, X. Jackson, T.J., Reynolds, C.A. 2008.  Integration of satellite-retrieved soil moisture observations with a global two-layer soil moisture model. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 7-11, 2008, Boston, Masschusetts. 2008 CDROM.Global Evaluation of Remotely-Sensed Soil Moisture Retrievals

                                       -
(Proceedings)Crow, W.T. 2008. Global evaluation of remotely-sensed soil moisture retrievals. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 7-11, 2008, Boston, Massachusetts. 2008 CDROM.POTENTIAL ROLE OF PASSIVE MICROWAVE REMOTE SENSING IN IMPROVING FLOOD FORECASTS

                                       -
(Peer Reviewed Journal)Improving satellite-based rainfall estimates over land using spaceborne surface soil moisture retrievals

                                       -
(Peer Reviewed Journal)Crow, W.T., Huffman, G.J., Bindlish, R., Jackson, T.J. 2009. Improving satellite-based rainfall estimates over land using spaceborne surface soil moisture retrievals. Journal of Hydrometeorology. 10(1):199-212.Comparison of adaptive filtering techniques for land surface data assimilation

                                       -
(Peer Reviewed Journal)Crow, W.T., Reichle, R. 2008. Comparison of adaptive filtering techniques for land surface data assimilation. Water Resources Research. 44(W08423):100-112.Assimilation of a satellite-based soil moisture product into a two-layer water balance model for a global crop production decision support system

                                       -
()Bolten, J.D., Crow, W.T., Zhan, X., Reynolds, C.A., Jackson, T.J. 2009. Assimilation of a satellite-based soil moisture product into a two-layer water balance model for a global crop production decision support system. In: Pard, S.K., editor. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. London, United Kingdom: Springer-Verlang. p. 449-464.Assimilation of Satellite-Based Soil Moisture into the USDA Global Crop Production Decision Support System

                                       -
(Abstract Only)Bolten, J.D., Crow, W.T., Zhan, X., Jackson, T.J., Reynolds, C.A. 2008. Assimilation of satellite-based soil moisture into the USDA Global Crop Production Decision Support System [abstract]. Abs. 5. BARC Poster Day.Recent advances in land data assimilation at the NASA Global Modeling and Assimilation Office

                                       -
()Reichle, R.H., Bosilovich, M.G., Crow, W.T., Koster, R.D., Kumar, S.V., Mahanama, S.P., Zaitchik, B.F. 2009. Recent advances in land data assimilation at the NASA Global Modeling and Assimilation Office. In: Pard, S.K., editor. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. London, United Kingdom: Springer-Verland. p. 407-428.A Land Surface Data Assimilation Framework Using the Land Information System: Description and Application

                                       -
(Peer Reviewed Journal)Kumar, S.V., Reichle, R.H., Peters-Lidard, C.D., Koster, R.D., Zhan, X., Crow, W.T., Eylander, J.B., Houser, P.R. 2008. A land surface data assimilation  framework using the land information system: Description and application. Advances in Water Resources. 31:1419-1432.A new data assimilation approach for improving streamflow forecasting using remotely-sensed soil moisture retrievals

                                       -
(Abstract Only)Crow, W.T., Ryu, D. 2008. A new data assimilation approach for improving streamflow forecasting using remotely-sensed soil moisture retrievals [abstract]. 2008 International European Geophysical Union. 2008 CDROM.A Paradigm Shift in the Application of Thermal Infrared Remote Sensing for Land Surface Modeling: John Norman's Critical Contributions

                                       -
(Abstract Only)Kustas, W.P., Anderson, M.C., Crow, W.T., Agam, N. 2008. A paradigm shift in the application of thermal infrared remote sensing for land surface modeling: John Norman's critical contributions [abstract]. American Meteorological Society, 28th Conference on Agricultural and Forest Meteorology and 18th Conference on Atmospheric Biogeosciences. Available: http://ams.confex.com/ams/28Hurricanes/techprogram/paper_137266.htm.Improving Space-borne Radiometer Soil Moisture Retrievals with Alternative Aggregation Rules for Ancillary Parameters in Highly Heterogeneous Vegetated Areas

                                       -
(Peer Reviewed Journal)Zhan, X., Crow, W.T., Jackson, T.J., O'Neill, P. 2008. Improving space-borne radiometer soil moisture retrievals with alternative aggregation rules for ancillary parameters in highly heterogeneous vegetated areas. Institute of Electrical and Electronic Engineering, Transaction on Geoscience and Remote Sensing. 2:261-265.A framework for the specification of modeling and observation uncertainties for land data assimilation of remote sensing retrievals

                                       -
(Abstract Only)Crow, W.T., Bolten, J.D. 2007. A framwork for the specification of modeling and observation uncertainties for land data assimilation of remote sensing retrievals [abstract]. American Meteorological Society Meeting. 2007 CDROM.Towards the development of an on-line model error identification system for land surface models

                                       -
(Abstract Only)Crow, W.T., Reichle, R.H., 2007. Towards the development of on-line model error identification system for land surface models [abstract]. American Geophysical Union Fall Meeting, December 10-14, 2007, San Francisco, California. 88(52). 2007 CDROM.A Global Soil Moisture Data Assimilation System for the USDA-FAS Crop Assessment Data Retrieval and Evaluation (CADRE) Decision Support System

                                       -
(Abstract Only)Bolten, J.D., Crow, W.T., Zhan, X. 2007. A global soil moisture data assimilation system for the USDA-FAS Crop Assessment Data Retrieval and Evaluation (CADRE) Decision Support System [abstract]. American Geophysical Union Fall Meeting. 2007 CDROM.Correcting Unintended Perturbation Biases in Hydrologic Data Assimilation Using the Ensemble Kalman Filter

                                       -
(Abstract Only)Ryu, D., Crow, W.T., Zhan, X. 2007. Correcting unintended perturbation biases in hydrologic data assimilation using the ensemble Kalman Filter [abstract]. American Geophysical Union Fall Meeting. 2007 CDROM.Estimating rootzone soil moisture by assimilating both microwave based surface soil moisture and thermal based soil moisture proxy observations

                                       -
(Abstract Only)Li, F., Crow, W.T. 2007. Estimating rootzone soil moisture by assimilating both microwave based surface soil moisture and thermal based soil moisture proxy observations [abstract]. 2007 Fall Meeting American Geophysical Union. 2007 CDROM.Correcting Unintended Perturbation Biases in Hydrologic Data Assimilation Using the Ensemble Kalman Filter

                                       -
(Abstract Only)Ryu, D., Crow, W.T., Zhan, X. 2007. Correcting unintended perturbation biases in hydrologic data assimilation using the ensemble Kalman Filter [abstract]. 2007 Fall Meeing American Geophysical Union. 2007 CDROM.The contribution of soil moisture retrievals to land data assimilation products

                                       -
(Peer Reviewed Journal)Reichle, R.H., Crow, W.T., Koster, R.D., Sharif, H.O., Mahanama, S.P. 2008. The contribution of soil moisture retrievals to land data assimilation products. Geophysical Research Letters. 35, L01404, http://dx.doi.org/10.1029/2007GL031986.An adaptive ensemble Kalman filter for soil moisture data assimilation

                                       -
(Peer Reviewed Journal)Reichle, R.H., Crow, W.T., Keppenne, C.L. 2008. An adaptive ensemble Kalman filter for soil moisture data assimilation. Water Resources Research. 44, W03423. http://dx.doi.org/10.1021/2007WR006357.Towards the Development of an On-Line Model Error Identification System

                                       -
(Abstract Only)Crow, W.T., Bolten, J.D. 2007. Towards the development on an on-line model error identification system [abstract].  American Geophysical Union Spring Meeting.  EOS Trans. 88(23). 2007 CDROM.The integration of remotely sensed soil moisture into the USDA global crop production support system

                                       -
(Abstract Only)Bolten, J.D., Crow, W.T. Zhan, X., Jackson, T.J., Reynolds, C.A. 2007. The integration of remotely sensed soil moisture into the USDA global crop production support system [abstract].  Abs. 3, BARC Poster Day.Assimilation of coarse-scale satellite soil moisture observations into a fine-scale hydrologic model

                                       -
(Abstract Only)Ryu, D., Crow, W.T., Zhan, X. 2007. Assimilation of coarse-scale satellite soil satellite soil moisture observations into a fine-scale hydrological model [abstract]. Abs. 9. BARC Poster Day.Estimating Precipitation Errors Using Spaceborne Surface Soil Moisure Retrievals

                                       -
(Peer Reviewed Journal)Crow, W.T., Bolten, J.D. 2007. Estimating precipitation errors using spaceborne surface soil moisture retrievals. Geophysical Research Letters. 34, L08403, doi:10.1029/2007GL029450.Exploiting Potential Synergies Between Spaceborne Rainfall and Surface Soil Moisture Retrievals

                                       -
(Abstract Only)Crow, W.T., Bolten, J.D., Zhan, X. 2007. Exploiting potential synergies between spaceborne rainfall and surface soil moisture retrievals [abstract].  Workshop on Satellite Observation of the Global Water Cycle. 2007 CDROM. v.1.Assimilation of Coarse-Scale Satellite Soil Moisture Observations into a Fine-Scale Hydrologic Model

                                       -
(Abstract Only)Ryu, D., Crow, W.T., Zhan, X. 2007. Assimilation of coarse-scale satellite soil moisture observations into a fine-scale hydrologic model [abstract]. Workshop on Satellite Observations of the Global Water Cycle. 2007 CDROM. v.1.Continental-scale evaluation of remotely sensed soil moisture products

                                       -
(Peer Reviewed Journal)Crow, W.T., Zhan, X. 2007. Continental-scale evaluation of remotely sensed soil moisture products. Geoscience and Remote Sensing Letters. 4(3):451-455.MULTI-DECADAL HIGH-RESOLUTION HYDROLOGIC MODELING OF THE ARKANSAS/RED RIVER BASIN

                                       -
(Peer Reviewed Journal)Sharif, H., Crow, W.T., Miller, N., Wood, E. 2007. Multi-decadal high-resolution hydrologic modeling of the Arkansas/Red River Basin.  Journal of Hydrometeorology. 8(5):1111-1127.Assimilation of AMSR-E Soil Moisture into the USDA Global Crop Production Decision Support System

                                       -
(Proceedings)Bolten, J.D., Crow, W.T., Zhan, X., Jackson, T.J., Reynolds, C., Doorn, B. 2007. Assimilation of AMRS-E soil moisture into the USDA global crop production decision support system.  In: Proceedings of the 2007 American Meteorological Society Meeting, January 14-18, 2007, San Antonio, TX. 2007 CDROM. 5b.3B.MONITORING ROOT-ZONE SOIL MOISTURE THROUGH THE ASSIMILATION OF A THERMAL REMOTE SENSING-BASED SOIL MOISTURE PROXY INTO A WATER BALANCE MODEL

                                       -
(Peer Reviewed Journal)Crow, W.T., Kustas, W.P., 2008. Monitoring root-zone soil moisture through the assimilation of a thermal remote sensing-based soil moisture proxy into a water balance model. Remote Sensing of Environment. 112(4):1268-1281.Improving Flood Prediction Through the Assimilation of AMSR-E Soil Moisture Retrievals into a Hydrologic Model

                                       -
(Abstract Only)Zhan, X., Ryu, D., Crow, W. 2006. Improving flood prediction through the assimilation of AMSR-E soil moisture retrievals into a Hydrologic Model [abstract]. EOS Transactions, American Geophysical Union, Fall Supplements. 87(52):H23E-1545.Regional-scale flood detection using AMSR-E observations

                                       -
(Abstract Only)Bindlish, R., Crow, W. Jackson, T. 2006. Regional-scale flood detection using AMSR-E observations [abstract]. EOS Transactions, American Geophysical Union, Fall Supplements. 87(52):H21B-1372.A novel data assimilation approach for the continental-scale evaluation of spaceborne soil moisture products

                                       -
(Abstract Only)Crow, W., Zhan, X. 2006. A novel data ssimilation approach for the continental-scale evaluation of spaceborne soil moisture products [abstract]. EOS Transactions, American Geophysical Union, Fall Supplements. 87(52):H21I-02.Assessing the impact of errors in soil moisture retrievals on their utility in data assimilation system

                                       -
(Abstract Only)Reichle, R.J., Koster, R.D., Crow, W.T., Sharif, H., Mahanama, S. 2006. Assessing the impact of errors in soil moisture retrievals on their utility in a data assimilation system [abstract]. EOS Transactions, American Geophysical Union, Fall Supplements. 87(52):H23E1553.A Generic, Interoperable, Hydrologic Data Assimilation Framework using the Land Information System

                                       -
(Abstract Only)Kumar, S., Peters-Lidard, C., Eylander, J., Reichle, R., Crow, W., Zhan, X., Houser, P., Koster, R.D., Suarez, M., Dong, J. 2006. A generic, interoperable, hydrologic data assimilation framework using the land information system [abstract]. EOS Transactions, American Geophysical Union, Fall Supplements. 87(52):H23E-1558.Using data assimilation techniques to calibrate soil moisture retrievals

                                       -
(Abstract Only)Pan, M., Ferguson, C., Crow, W.T., Wood E. 2006. Using data assimilation techniques to calibrate soil moisture retrievals [abstract]. EOS Transactions, American Geophysical Union, Fall Supplements. 87(52):H21I-03.Assimilation of AMSR-E soil moisture retrievals into the USDA Global Crop Production Decision Support System

                                       -
(Abstract Only)Bolten, J.D., Crow, W.T., Zhan, X., Jackson, T.J., Reynolds, C., Doorn, B. 2006. Assimilation of AMSR-E soil moisture retrievals into the USDA global crop production decision support team [abstract]. EOS Transactions, American Geophysical Union, Fall Supplements. 87(52):H23E-1550.EVALUATING THE ADDED VALUE OF SPACEBORNE SOIL MOISTURE PRODUCTS FOR LAND SURFACE MODELING APPLICATIONS

                                       -
(Proceedings)Crow, W.T. 2006. Evaluating the added value of spaceborne soil moisture products for land surface modeling applications. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 31-August 31, 2006, Denver, Colorado. 2006 CDROM.IMPACT OF AGGREGATION RULES OF ANCILLARY PARAMETERS ON SOIL MOISTURE RETRIEVALS FROM SPACEBORNE MICROWAVE RADIOMETER OBSERVATIONS

                                       -
(Proceedings)Zhan, X., Jackson, T.J., Crow, W.T. 2006. Impact of aggregation rules of ancillary parameters on soil moisture retrievals from spaceborne microwave radiometer observations. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 31- August 31, 2006, Denver, Colorado. p. 1728-1731.A NOVEL METHOD FOR QUANTIFYING VALUE IN REMOTELY-SENSED SOIL MOISTURE RETRIEVALS

                                       -
(Peer Reviewed Journal)Crow, W.T., 2007. A novel method for quantifying value in remotely-sensed soil moisture retrievals.  Journal of Hydrometeorology. 8(1):56-67.ASSIMILATION OF THERMAL REMOTE SENSING-BASED SOIL MOISTURE PROXY INTO A ROOT-ZONE WATER BALANCE MODEL

                                       -
(Abstract Only)Crow, W.T., Kustas, W.P. 2006. Assimilation of thermal remote sensing-based soil moisture proxy into a root-zone water balance model [abstract].  EOS Transactions, American Geophysical Union. 87(36) Joint Meeting Supplement, Abstract, H31A-01.IMPLEMENTATION AND APPLICATION OF THE KALMAN FILTER DATA ASSIMILATION APPROACHES IN NASA'S LAND INFORMATION SYSTEM INFRASTRUCTURE

                                       -
(Abstract Only)Zhan, X., Kumar, S.V., Crow, W.T., Arsenault, K., Houser, P., Peters-Lidard, C. 2006. Implementation and application of the Kalman Filter data assimilation approaches in NASA's Land Information System Infrastructure [abstract]. EOS Transactions, American Geophysical Union. 87(36), Joint Meeting Supplement, Abstract H31A-01.THE APPLICATION OF AMSR-E SOIL MOISTURE FOR IMPROVED GLOBAL AGRICULTURAL ASSESSMENT AND FORECASTING

                                       -
(Abstract Only)Bolten, J.D., Crow, W.T., Zhan, X., Jackson, T.J., Reynolds, C.A., Doorn, B. 2006. The application of AMSR-E soil moisture for improved global agricultural assessment and forecasting [abstract]. Abs. 03, BARC Poster Day.MULTIPLE SPACEBORNE WATER CYCLE OBSERVATIONS WOULD AID MODELING

                                       -
()Crow, W.T., Entekahabi, D., Reichle, R., Koster, R., 2006. Multiple spaceborne water cycle observations would aid modeling. Earth Observing Systems (EOS). 87(15).IMPROVING HYDROLOGICAL FORECASTING USING SPACEBORNE SOIL MOISTURE RETRIEVALS

                                       -
(Proceedings)Crow, W.T., Bindlish, R., Jackson, T.J. 2006. Improving hydrological forecasting using spaceborne soil moisture retrievals. In: Proceedings of the 2006 American Meteorological Society Meeting, January 26-February 2, 2006, Atlanta, Georgia. 2006 CDROM.RELEVANCE OF TIME-VARYING AND TIME-INVARIANT RETRIEVAL ERROR SOURCES ON THE UTILITY OF SPACEBORNE SOIL MOISTURE

                                       -
(Peer Reviewed Journal)Crow, W.T., Koster, R.D., Reichle, R., Sharif, H. 2005. Relevance of time-varying and time-invariant retrieval error sources on the utility of spaceborne soil moisture. Geophysical Research Letters. (32)l24405, doi: 10.1029/2005GL24889.A method of retrieving high resolution soil moisture from Hydros L-band radiometer and radar observations

                                       -
(Peer Reviewed Journal)Zhan, X., Houser, P.R., Walker, J.P., Crow, W.T. 2006. A method of retrieving high resolution soil moisture from Hydros L-band radiometer and radar observations. IEEE Transactions on Geoscience and Remote Sensing. 44(6):1534-1545.IMPACT OF INCORRECT HYDROLOGIC MODEL ERROR ASSUMPTION ON THE SEQUENTIAL ASSIMILATION OF REMOTELY SENSED SURFACE SOIL MOISTURE

                                       -
(Peer Reviewed Journal)Crow, W.T. 2006. Impact of incorrect hydrologic model error assumptions on the sequential assimilation of remotely sensed surface soil moisture. Journal of Hydrometeorology. 8(3):421-431.THE MARGINAL VALUE OF SPACEBORNE PASSIVE MICROWAVE SOIL MOISTURE OBSERVATIONS FOR RUNOFF RATIO FORECASTING.

                                       -
(Proceedings)Crow, W.T., Bindlish, R., Jackson, T.J. 2005. The marginal value of spaceborne passive microwave soil moisture observations for runoff ratio forecasting. In: Proceedings of the ACTIF/Floodman/Floodrelief Conference on International Flood Forecasting, October 17-19, 2005, Tromso, Norway. p.34THE ADDED VALUE OF SPACEBORNE PASSIVE MICROWAVE RETRIEVALS FOR RUNOFF RATIO FORECASTING

                                       -
(Peer Reviewed Journal)Crow, W.T., Bindlish, R., Jackson, T.J. 2005. The added value of spaceborne passive microwave retrievals for runoff ratio forecasting. Geophysical Research Letters. (32)L18401, doi: 10.1029/2005GL023543.AN OBSERVING SYSTEM SIMULATION EXPERIMENT FOR HYDROS RADIOMETER-ONLY SOIL MOISTURE AND FREEZE-THAW PRODUCTS

                                       -
(Proceedings)Crow, W.T.,Entekhabi, D.,O’Neill P.E., Njoku, E.,Chan, T., Shi, J.C. 2005. An observing system simulation experiment for hydros radiometer-only soil moisture and freeze-thaw products. In: Proceedings of the 2005 International Geoscience and Remote Sensing Symposium, July 25-29, 2005, Seoul, South Korea. 4:2737.AN OBSERVING SYSTEM SIMULATION EXPERIMENT FOR HYDROS RADIOMETER SOIL MOISTURE PRODUCTS.

                                       -
(Peer Reviewed Journal)Crow, W.T., Chan, T., Entekhabi, E., Houser, P.R., Hsu, A.Y., Jackson, T.J., Njoku, E., O'Neill, P.E., Shi, J.C., Zhan, X. 2005. An observing system simulation experiment for Hydros radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing. 43(6):1289-1303.INTERCOMPARISON OF SPATIALLY DISTRIBUTED MODELS FOR PREDICTING SURFACE ENERGY FLUX PATTERNS DURING SMACEX.

                                       -
(Peer Reviewed Journal)Crow, W.T., Kustas, W.P., Li, F. 2005. Intercomparison of spatially disturbed models for predicting surface energy flux patterns during SMACEX. Journal of Hydrometerorology. 6(6):941-954.CONSTRAINING ROOT-ZONE SOIL MOISTURE ESTIMATES UNDER DENSE VEGETATION USING MULTI-FREQUENCY REMOTE SENSING OBSERVATIONS

                                       -
(Abstract Only)Crow, W.T. 2004. Constraining root-zone soil moisture estimates under dense vegetation using multi-frequency remote sensing observations [abstract]. Joint Assembly of the American Geophysical Union. 85(47):H12A-04.POTENTIAL ROLE OF PASSIVE MICROWAVE REMOTE SENSING IN FLOOD FORECASTING

                                       -
(Abstract Only)Bindlish, R., Crow, W.T., Jackson, T.J. 2004. Potential role of passive microwave remote sensing in flood forecasting [abstract]. NASA Terrestrial Hydrology Workshop (THP). 2004 CDROM.UPSCALING OF FIELD-SCALE SOIL MOISTURE HETEROGENEITY USING DISTRIBUTED LAND SURFACE MODELING

                                       -
(Peer Reviewed Journal)Crow, W.T., Ryu, D., Famiglietti, J.S. 2005. Upscaling of field-scale soil moisture heterogeniety using distributed land surface modeling. Advances in Water Resources. 28:1-14.UTILITY OF ASSIMILATING SURFACE RADIOMETRIC TEMPERATURE OBSERVATIONS FOR EVAPORATIVE FRACTION AND HEAT TRANSFER COEFFICIENT RETRIEVAL

                                       -
(Peer Reviewed Journal)Crow, W.T., Kustas, W.P. 2005. Utility of Assimilating Surface Radiometric Temperature Observations for Evaporative Fraction and Heat Transfer Coefficient Retrieval. Boundary-Layer Meteorology. 115:105-130.COMPARISON OF SOIL MOISTURE RETRIEVAL ALGORITHMUS USING SIMULATED HYDROS BRIGHTNESS TEMPERATURES

                                       -
(Proceedings)O'Neill, P.E., Crow, W.T., Hsu, A.Y., Jackson, T.J., Njoku, E., Chan, T., Shi, J.C. 2004. Comparison of soil moisture retrieval algorithms using simulated Hydros brightness temperatures. In: Proceedings of the 2004 International Geoscience and Remote Sensing, September 20-24, 2004, Anchorage, Alaska. 1:336-339.POTENTIAL ROLE OF PASSIVE MICROWAVE REMOTE SENSING IN IMPROVING FLOOD FORECASTS

                                       -
(Proceedings)Bindlish, R., Crow, W.T., Jackson, T.J. 2004. Potential role of passive microwave remote sensing in improving flood forecasts. In: Proceedings of the 2004 International Geoscience and Remote Sensing Symposium, September 20-24, 2004, Anchorage, Alaska. 3:1866-1869.OVERVIEW OF THE AQUA/AMSR-E 2003 SOIL MOISTURE EXPERIMENT IN BRAZIL (SMEX03 BRAZIL)

                                       -
(Proceedings)Sao, E., Assad, E., Jackson, T.J., Crow, W.T., Hsu, A.Y. 2004. Overview of the AQUA/AMSR-E 2003 Soil Moisture Experiment in Brazil (SMEX 03 Brazil). In: Proceedings of the 2004 International Geoscience and Remote Sensing Symposium, September 20-24, 2004, Anchorage, Alaska. 1:329-331.THE IMPACT OF INCORECT MODEL ERROR ASSUMPTION ON THE ASSIMILATION OF REMOTELY SENSED SOIL MOISTURE INTO A HYDROLOGIC MODEL

                                       -
(Proceedings)Crow, W.T., Bindlish, R. 2004. The impact of incorrect model error assumption on the assimilation of remotely sensed soil moisture into hydrologic model. In: Proceedings of the Second Model and Data Assimilation (CAHMDA), October 25-27, 2004, Princeton, New Jersey. p. 145-148.THE HYDROSPHERE STATE (HYDROS) MISSION CONCEPT:  AN EARTH SYSTEM PATHFINDER FOR GLOBAL MAPPING OF SOIL MOISTURE AND LAND FREEZE/THAW

                                       -
(Peer Reviewed Journal)Entekhabi, D., Njoku, E., Houser, P., Spencer, M., Doiron, T., Belair, S., Crow, W., Jackson, T., Kerr, Y., Kimball, J., Koster, R., McDonald, K., O'Neill, P., Pultz, T., Running, S., Shi, J.C., Wood, E., van Zyle, J. 2004. The Hydrosphere Sate (HYDROS) mission concept: An earth system pathfinder for global mapping of soil moisture and land freeze/thaw. IEEE Transactions on Geoscience and Remote Sensing. 42:2184-2195.ADDRESSING KEY WEAKNESS OF HYDROLOGIC MODELS THROUGH THE ASSIMILATION OF REMOTELY-SENSED LAND SURFACE VARIABLES

                                       -
(Abstract Only)Crow, W.T. 2004. Addressing key weakness of hydrologic models through the assimilation of remotely sensed land surface variables [abstract]. Proceedings of the 84th American Meterological Society Meeting. Available: http://ams.confex.com/ams/84Annual/techprogram/paper_70647.htmUSING A MICROWAVE EMISSION MODEL TO ESTIMATE SOIL MOISTURE FROM ESTAR OBSERVATIONS DURING SGP99

                                       -
(Peer Reviewed Journal)Gao, H., Wood, E., Drusch, M., Crow, W.T., Jackson, T.J. 2004. Using a microwave emission model to estimate soil moisture from ESTAR observations during SGP99. Journal of Hydrometerology. 4:49-63.AN OBSERVING SYSTEM SIMULATION EXPERIMENT FOR HYDROS SOIL MOISTURE RETRIEVALS

                                       -
(Abstract Only)Njoku, E., Chang, T., Crow, W.T., Entekhabi, D., Jackson, T., Houser, P., O'Neill, P., Shi, J.C., Zhou, X. 2003. An observing system simulation experiment for HYDROS soil moisture retrievals [abstract]. EOS Transactions. 84(46):645.THE SIMULTANEOUS RETRIEVAL OF SURFACE EVAPORATIVE FRACTION AND HEAT TRANSFER COEFFICIENTS USING VARIATIONAL DATA ASSIMILATION AND SURFACE RADIOMETRIC TEMPERATURE OBSERVATIONS.

                                       -
(Abstract Only)Crow, W.T., Kustas, W.P. 2003. The simultaneous retrieval of surface evaporation fraction and heat transfer coefficients using variational data assimilation and surface radiometric temperature observations. EOS Transactions, American Geophysical Union. Available: http://www.agu.org/cgi-bin/SFgate/SFgateMODELING SNOWCOVER HETEROGENEITY OVER COMPLEX TERRAIN FOR REGIONAL AND GLOBAL CLIMATE MODELS

                                       -
(Peer Reviewed Journal)Dery, S.T., Crow, W.T., Stieglitz, M., Wood, E.F. 2004. Modeling snowcover heterogeneity over complex terrain for regional and global climate models. Journal of Hydrometeorology. 5:33-48.MULTI-OBJECTIVE CALIBRATION OF LAND SURFACE MODEL EVAPOTRANSPIRATION PREDICTIONS USING STREAMFLOW OBSERVATIONS AND SPACEBORNE SURFACE RADIOMETRIC TEMPERATURE RETRIEVALS

                                       -
(Peer Reviewed Journal)Crow, W.T., Wood, E.F., Pan, M. 2003. Multi-objective calibration of land surface model evapotranspiration predictions using streamflow observations and spaceborn surface radiometric temperature retrievals. Journal of Geophysical Research. 108(D23):3292-3330.INTEGRATION OF REMOTE SENSING SOIL MOISTURE PRODUCTS INTO HYDROLOGIC PREDICTION OF SYSTEMS USING ENSEMBLE-BASED ASSIMILATION STRATEGIES

                                       -
(Abstract Only)Crow. W.T., Wood, E.F., Schaake, J. 2002. Integration of remote sensing soil moisture products into hydrologic prediction  systems using ensemble-based assimilation strategies [abstract]. 2003 International Geoscience and Remote Sensing Symposium Proceedings.LARGE-SCALE MONITORING OF ROOT-ZONE SOIL MOISTURE USING REMOTE SENSING, HYDROLOGIC MODELING, AND DATA ASSIMILATION STRATEGIES

                                       -
(Abstract Only)Crow, W.T. 2003. Large-scale monitoring of root-zone soil moisture using remote sensing, hydrologic modeling, and data assimilation strategies. BARC Poster Day.CORRECTINH LAND SURFACE MODEL PREDICTIONS FOR THE IMPACT OF SPARSELY SAMPLED RAINFALL RATE RETRIEVALS USING AN ENSEMBLE KALMAN FILTER AND REMOTE SEURFACE BRIGHTNESS TEMPERATURE OBSERVATIONS

                                       -
(Peer Reviewed Journal)Crow, W.T., 2003. Correcting land surface model predictions for the impact of sparsely sampled rainfall rate retrievals using an ensemble kalman filter and remote surface brightness temperature. Journal of Hydrometeorology. 4:960-973.PROSPECTS FOR IMPROVING LAND SURFACE MODEL PERFORMANCE VIA THE ASSIMILATION OF REMOTE SENSING PRODUCTS

                                       -
(Abstract Only)Crow, W.T., Wood, E.F., Kustas, W.P. 2003. Prospects for improving land surface model performance via the assimilation of remote sensing products [abstract]. In: Eos. Trans. 83(47), American Geophysical Union Fall Meeting Supplement.INTEGRATION OF SPACEBORNE PRECIPITATION AND SURFACE BRIGHTNESS TEMPERATURE MEASUREMEMNTS USING AN ENSEMBLE KALMAN FILTER

                                       -
(Abstract Only)Crow, W.T. 2003. Integration of spaceborne precipitation and surface brightness temperature measurements using an ensemble Kalman filter. In: Proceedings for the 84th American Meteorological Society Meeting.AN INVESTIGATION OF SCALE AND SPATIAL VARIABILITY USING FULLY- AND SEMI-DISTRIBUTED TOPLATS AT THE WHITEWATER WATERSHED, KANSAS

                                       -
(Abstract Only)Bashford, K.E., Sharif, H., Crow, W.T., Miller, N.L., Wood, E.F. 2002. An investigation of scale and spatial variability using fully- and semi-distributed toplats at the Whitewater Watershed, Kansas. In: Proceedings for the 84th American Meteorological Society Meeting.


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