Source: http://downdraft.caps.ou.edu/pubs_journal.php
Timestamp: 2019-04-26 10:15:57+00:00

Document:
Dahl, N. A., A. Shapiro, C. K. Potvin, A. Theisen, J. G. Gebauer, A. D. Schenkman, and M. Xue, 2019: High-resolution, rapid-scan dual-Doppler retrievals of vertical velocity in simulated supercells. J Atmos Ocean Tech, Conditionally accepted.
Dawson, D, II, B. Roberts, M. Xue, 2019: A method to maintain the environmental wind profile in idealized simulations of deep convection with surface friction. Mon. Wea. Rev. Conditionally accepted.
Fu, P., K. Zhu, K. Zhao, B. Zhou, and M. Xue, 2019: The role of nocturnal low-level jet in the formation of morning precipitation peak over Dabie Mountains. Adv. Atmos. Sci., 36, 15-28.
Hu, X.-M., M. Xue, F. Kong, and H. Zhang, 2019: Meteorological conditions during an ozone episode in Dallas-Fort Worth, Texas and impact of their model uncertainties on air quality prediction J. Geophy. Res., Accepted.
Johnson, M., Y. Jung, J. A. Milbrandt, H. Morrison, and M. Xue, 2019: Effects of the representation of rimed ice in bulk microphysics schemes on polarimetric signatures. Mon. Wea. Rev., Conditionally accepted.
Labriola, J., N. Snook, M. Xue, and K. Thomas, 2019: Analysis of next-day hail forecasts using multi-moment microphysics schemes for the 8 May 2017 severe hail event in Colorado. Mon. Wea. Rev., Conditionally accepted.
Labriola, J., N. Snook, Y. Jung, and M. Xue, 2018: Explicit ensemble prediction of hail in 19 May 2013 Oklahoma City thunderstorms and analysis of hail growth processes with several multi-moment microphysics schemes. Mon. Wea. Rev., Accepted. doi:10.1175/MWR-D-18-0266.1.
Li, J., G. Wang, M. A. Mayes, S. D. Allison, S. D. Frey, Z. Shi, X.-M. Hu, Y. Luo, and J. M. Melillo, 2019: Reduced carbon use efficiency and increased microbial turnover with soil warming, Global Change Biol, 25, 900-910.
Liu, C., E. Fedorovich, J. Huang, X.-M. Hu, Y. Wang, X. Lee, 2019: Impact of aerosol shortwave radiative heating on the entrainment in atmospheric convective boundary layer: a large-eddy simulation study, J. Atmos. Sci., 76, 785-799.
Liu, C., M. Xue, and R. Kong, 2019: Direct assimilation of radar reflectivity data using 3DVAR: Treatment of hydrometeor background errors and OSSE tests. Mon. Wea. Rev., 137, 17-29.
Loken, E. D., A. J. Clark, M. Xue, and F. Kong, 2019: Spread and skill in mixed- and single-physics convection-allowing ensembles. Wea. Forecasting, 34, 305-330.
Mahale, V. N., G. Zhang, M. Xue, J. Gao, and H. D. Reeves, 2019: Variational retrieval of rain microphysics and related parameters from polarimetric radar data with a parameterized operator. J. Atmos. Oceanic Technol., Conditionally accepted.
Putnam, B., M. Xue, Y. Jung, N. Snook, and G. Zhang, 2019: Ensemble Kalman Filter Assimilation of Polarimetric Radar Observations for the 20 May 2013 Oklahoma Tornadic Supercell Case. Mon. Wea. Rev., Conditionally accepted.
Rao, X., K. Zhao, X. Chen, A. Huang, M. Xue, Q. Zhang, and M. Wang, 2019: Influence of synoptic pattern and low-level wind speed on intensity and diurnal variations of orographic convection in summer over Pearl River Delta, South China. J. Geophy. Res., Conditionally accepted.
Snook, N., F. Kong, K. Brewster, M. Xue, K. W. Thomas, T. A. Supinie, B. Albright, and S. Perfater, 2019: Evaluation of Convection-Permitting Precipitation Forecast Products using WRF, NMMB, and FV3 Models for the 2016-2017 NOAA Hydrometeorology Testbed Flash Flood and Intense Rainfall Experiments. Wea. Forecasting, Conditionally accepted.
Snook, N., M. Xue, and Y. Jung, 2019: Tornado-Resolving Ensemble and Probabilistic Predictions of the 20 May 2013 Newcastle-Moore EF5 Tornado. Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-18-0236.1.
Sun, Z., M. Xue, K. Zhu, and B. Zhou, 2019: Prediction of a rare EF4 tornado in Funing, China: Resolution dependency of simulated tornadoes. Atmos. Res., Conditionally accepted.
Wang, Hong, Fanyou Kong, Naiyu Wu, Hongping Lan, 2019: Investigation of microphysical structure of a squall line in South China observed with a polarimetric radar and a disdrometer, Atmospheric Research, Conditionally accepted.
Xu, X., M. Xue, M. A. C. Teixeira, J. Tang, and Y. Wang, 2019: Impacts of parameterized directional absorption of orographic gravity waves on the simulated atmospheric general circulation in Weather Research and Forecasting model. J. Atmos. Sci., Conditionally accepted.
Yang, Y., X.-M. Hu, S. Gao, Y. Wang (2019), Sensitivity of WRF Simulations with the YSU PBL Scheme to the Lowest Model Level Height for a Sea Fog Event over the Yellow Sea, Atmospheric Research, 215, 253-267.
Zhang, C., M. Xue, T. A. Supinie, F. Kong, N. Snook, K. W. Thomas, K. Brewster, Y. Jung, L. M. Harris, and S.-J. Lin, 2019: How Well Does the FV3 Model Predict Precipitation at a Convection-Allowing Resolution? Results from CAPS Forecasts for the 2018 NOAA Hazardous Weather Testbed with Different Physics Combinations. Geophys. Res. Lett., https://doi.org/10.1029/2018GL081702.
Zhang, G., V. N. Mahale, B. J. Putnam, Y. Qi, Q. Cao, A. D. Bryd, P. Bukovcic, D. S. Zrnic, J. Gao, M. Xue, Y. Jung, H. D. Reeves, P. L. Heinselman, A. Ryzhkov, R. D. Palmer, P. Zhang, M. Weber, G. M. McFarquhar, B. M. III, Y. Zhang, J. Zhang, J. Vivekanandan, Y. Al-Rashid, R. L. Ice, D. S. Berkowitz, C. Tong, C. Fulton, and R. J. Doviak, 2019: Current status and future challenges of weather radar polarimetry: Bridging the gap between radar meteorology/hydrology/engineering and numerical weather prediction. Adv. Atmos. Sci., Accepted. doi: 10.1007/s00376-019-8172-4.
Zhang, Y., M. Xue, K. Zhu, and B. Zhou, 2019: What is the main cause of diurnal variation and nocturnal peak of summer precipitation in Sichuan Basin, China? The key role of boundary layer low-level jet inertial oscillations. J. Geophy. Res., 124, DOI: 10.1029/2018JD029834.
Bluestein, H. B., G. S. Romine, R. Rotunno, D. W. Reif, and C. C. Weiss, 2018: On the Anomalous Counterclockwise Turning of the Surface Wind with Time in the Plains of the United States. Monthly Weather Review, 146, 467-484.
Chen, X., H. Yuan, and M. Xue, 2018: Spatial spread-skill relationship in terms of agreement scales for precipitation forecasts in a convection-allowing ensemble. Quart. J. Roy. Meteor. Soc., 144,85-98.
Chen, X., Y. Wang, J. Fang, and M. Xue, 2018: A numerical study on rapid intensification of typhoon Vicente (2012) in the South China Sea. Part II: Roles of inner-core processes. J. Atmos. Sci., 75, 235-255.
Chen, X., M. Xue, and J. Fang, 2018: Rapid intensification of typhoon Mujigae (2015) over anomalously warm sea surface of the South China Sea. J. Atmos. Sci., 75, 4313-4335.
Clark, A, I. Jirak, S. Dembek, F. Kong, K. Thomas, K. Knopfmeier, B. Gallo, C. Melick, M. Xue, K. Brewster, Y. Jung, A. Kennedy, X. Dong, J. Markel, G. Romine, K. Fossell, R. Sobash, J. Carley, B. Ferrier, M. Pyle, C. Alexander, S. Weiss, J. Kain, L. Wicker, G. Thompson, D. Imy, G. Creager, 2018: The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. Bull. Amer. Meteor. Soc. 99, 1433-1448.
Dang, R., Yang, Y., Li, H., Hu, X.-M., Wang, Z., Huang, Z., Zhou, T., Zhang, T. (2019). Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro- Pulse Lidar. Remote Sensing, 11, 263.
Gasperoni, N.A., K.A. Brewster, X. Wang, and F.H. Carr. 2018: Assessing impacts of the high frequency assimilation of surface observations for the forecast of convection initiation on 3 April 2014 within the Dallas-Ft. Worth Testbed., Mon. Wea. Rev., 146, 3845-3872.
Griffin, C. B., C. C. Weiss, A. E. Reinhart, J. C. Snyder, H. B. Bluestein, J. Wurman, and K. A. Kosiba, 2018: In Situ and Radar Observations of the Low Reflectivity Ribbon in Supercells during VORTEX2. Monthly Weather Review, 146, 307-327.
Hu, J., Li, Y., Zhao, T., Liu, J., Hu, X.-M., Liu, D., Jiang, Y., J. Xu, Chang, L. (2018), An important mechanism of regional O3 transport for summer smog over the Yangtze River Delta in East China, Atmos. Chem. Phys., 18, 16239-16251.
Hu, X.-M., M. Xue, R. A. McPherson, E. Martin, D. H. Rosendahl, and L. Qiao, 2018: Precipitation dynamical downscaling over the Great Plains. J. Adv. Modeling Earth Systems, 10, 421-447.
Johnson, M., Y. Jung, D. Dawson, T. A. Supinie, M. Xue, J. Park, and Y.-H. Lee, 2018: Evaluation of Unified Model microphysics in high-resolution NWP simulations using polarimetric radar observations. Adv. Atmos. Sci., 35, 771-784.
Kim, D., C.-H. Ho, D.-S. Park, J. Chan, and Y. Jung, 2018: The relationship between tropical cyclone rainfall area and environmental conditions over the subtropical oceans, J. Climate, 31, 4605-4616.
Kong, Fanyou, 2018: A Study of Storm-Scale Ensemble Forecast. Adv. in Meteo. Sci. and Tech. (in Chinese), 8, 53-60.
Kong, R., M. Xue, and C. Liu, 2018: Development of a hybrid en3DVar data assimilation system and comparisons with 3DVar and EnKF for radar data assimilation with observing system simulation experiments. Mon. Wea. Rev., 146, 175-198.
LaDue, D. S., and A. E. Cohen, 2018. Facilitating the self-directed learning efforts of professional meteorologists. Bulletin of the American Meteorological Society, 99, 2519-2527.
LaDue, D. S., R. R. Hoffman, R. Pliske, and P. Daipha, 2019: Expertise in weather forecasting. In P. Ward, J. M. Schraagen, J. Gore, and E. Roth (Eds.), The Oxford Handbook of Expertise: Research and Application, United Kingdom: Oxford University Press.
Li, X.-B., D. Wang, Q.-C. Lu, Z.-R. Peng, Q. Fu, X.-M. Hu, J. Huo, G. Xiu, B. Li, C. Li, D.-S. Wang, H. Wang, 2018:. Three-dimensional analysis of ozone and PM2.5 distributions obtained by observations of tethered balloon and unmanned aerial vehicle in Shanghai, China. Stochastic Environmental Research and Risk Assessment. 32, 1189-1203.
Liu, C., J. Huang, E. Fedorovich, X.-M. Hu, Y. Wang, X. Lee, 2018: The effect of aerosol radiative heating on turbulence statistics and spectra in the atmospheric convective boundary layer: a largeeddy simulation study, Atmosphere, 9, 347, doi:10.3390/atmos9090347.
Luo, L., M. Xue, K. Zhu, and B. Zhou, 2018: Explicit prediction of hail in a long-lasting multi-cellular convective system in Eastern China using multi-moment microphysics schemes. J. Atmos. Sci., 75, 3115-3137.
Luo, X., M. Xue, and J. Fei, 2018: Simulation and Analysis of the Initiation of a Squall Line within a Meiyu Frontal System in East China. Atmosphere, 9, 183; doi:10.3390/atmos9050183.
Meng, Z., L. Bai, M. Zhang, Z. Wu, Z. Li, M. Pu, Y. Zheng, X. Wang, D. Yao, M. Xue, K. Zhao, Z. Li, S. Peng, and L. Li, 2018: The Deadliest Tornado (EF4) in the Past 40 Years in China. Wea. Forecasting, 33, 693-713.
Pan, Y., M. Xue, K. Zhu, and M. Wang, 2018: A prototype regional GSI-based EnKF-variational hybrid data assimilation system for the Rapid Refresh forecasting system: Dual-resolution implementation and testing results. Adv. Atmos. Sci., 35, 518-530.
Wang, Hong, Fanyou Kong, Youngsun Jung, Naigeng Wu, Jinfang Yin, 2018: Quality Control of S-band Polarimetric Radar Measurements for Data Assimilation. J. Appl. Meteor. Sci. (in Chinese), 29, 546-558.
Xu, X., Y. Tang, Y. Wang, and M. Xue, 2018: Directional Absorption of Mountain Waves and Its Influence on the Wave Momentum Transport in the Northern Hemisphere. J. Geophy. Res., 123, 2640-2654.
Xue, M., X. Luo, K. Zhu, Z. Sun, and J. Fei, 2018: The controlling role of boundary layer inertial oscillations in meiyu frontal precipitation and its diurnal cycles over China J. Geophy. Res., 123, 5090-5115.
Zhou, B., M. Xue, and K. Zhu, 2018: A grid-refinement-based approach to modeling the convective boundary layer in the gray zone: Algorithm Implementation and Testing. J. Atmos. Sci. 75, 1143-1161.
Zhu, K., M. Xue, B. Zhou, K. Zhao, Z. Sun, P. Fu, Y. Zheng, X. Zhang, and Q. Meng, 2018: Evaluation of real-time precipitation forecasts during 2013-2014 summer seasons over China at a convection-permitting resolution: spatial distribution, propagation, diurnal cycles and skill scores. J. Geophy. Res., 123, 1037-1064.
Bluestein, H. B. 2017: Tornadoes and their parent convective storms. Oxford Handbooks Online in Natural Hazard Science (pp. 67). Oxford University Press.
Bluestein, H. B., Wienhoff, Z., Turner, D., Reif, D. W., Thiem, K. J., Houser, J. 2017:. A comparison of the fine-scale structures of a prefrontal wind-shift line and a strong cold front in the Southern Plains of the U. S. Monthly Weather Review, 145, 3307-3330.
Chen, G., Zhao, K., Zhang, G., Huang, H., Liu, S., Wen, L., Yang, Z., Yang, Z., Xu, L., Zhu, W. 2017:. Improving Polarimetric C-Band Radar Rainfall Estimation with Two-Dimensional Video Disdrometer Observations in Eastern China. J. Hydrometeor. 18, 1375-1391.
Duda, J., X. Wang, and M. Xue, 2017: Sensitivity of Convection-Allowing Forecasts to Land-Surface Model Perturbations and Implications for Ensemble Design. Mon. Wea. Rev., 145, 2001-2025.
Fedorovich, E., Gibbs, J. A., Shapiro, A. 2017: Numerical study of nocturnal low-level jets over gently sloping terrain. J. Atmos. Sci., 74, 2813-2834.
Fedorovich, E., Shapiro, A. 2017:. Oscillations in Prandtl slope flow started from rest. Quart. J. Roy. Meteor. Soc., 143, 670-677.
Fulton, C., Salazar-Cerreño, J. L., Zhang, Y., Zhang, G., Kelly, R., Meier, J., McCord, M., Schmidt, D., Byrd, A., Mohan, L., Karimkashi, S., Zrnic, D., Doviak, R., Zahrai, A., Yeary, M., Palmer, R. (2017). Cylindrical Polarimetric Phased Array Radar (CPPAR): Beamforming and Calibration for Weather Applications. IEEE Trans. Geosci. Remote Sensing. 55. 2827 - 2841.
Gagne II, D. J., S. E. Haupt, A. McGovern, and J. K. Williams, 2017: Evaluation of Statistical Learning Configurations for Gridded Solar Irradiance Forecasting. Solar Energy. 150, 383-393.
Gagne, D. J., II, A. McGovern, S. E. Haupt, R. Sobash, J. K. Williams, and M. Xue, 2017: Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles. Weather Forecasting, 32, 1819-1840.
Gallo, B. T., A. J. Clark, I. Jirak, J. S. Kain, S. J. Weiss, M. Coniglio, K. Knopfmeier, J. C. Jr., C. J. Melick, E. Iyer, A. R. Dean, M. Xue, F. Kong, Y. Jung, F. Shen, K. W. Thomas, K. Brewster, D. Stratman, G. Carbin, W. Line, R. Adams-Selin, and S. Willington, 2017: Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. Wea. Forecasting, 32, 1541-1568.
Gebauer, J. G., Fedorovich, E., Shapiro, A. 2017: A 1D theoretical analysis of northerly low- level jets over the Great Plains. J. Atmos. Sci., 74, 3419-3431.
Geerts, B., D. Parsons, C. L. Ziegler, T. M. Weckwerth, M. I. Biggerstaff, R. D. Clark, M. C. Coniglio, B. B. Demoz, R. A. Ferrare, W. A. G. Jr., K. Haghi, J. M. Hanesiak, P. M. Klein, K. R. Knupp, K. Kosiba, G. M. McFarquhar, J. A. Moore, A. R. Nehrir, M. D. Parker, J. O. Pinto, R. M. Rauber, R. S. Schumacher, D. D. Turner, Q. Wang, X. Wang, Z. Wang, and J. Wurman, 2017: The 2015 Plains Elevated Convection at Night Field Project. Bull. Amer. Meteor. Soc. 98, 767-786.
Haghi, K. R., Parsons, D. B., Shapiro, A. 2017: Bores observed during IHOP_2002: The relationship of bores to the nocturnal environment. Mon. Wea. Rev., 145, 3929-3946.
Hoffman, R. R., D. S. LaDue, H. M. Mogil, P. J. Roebber, and J. G. Trafton, 2017:. Minding the Weather: How Expert Forecasters Think. MIT Press, 470 pp.
Hu, X.-M., M. Xue, and R. A. McPherson, 2017: The importance of soil type contrast in modulating August precipitation distribution near the Edwards Plateau and Balcones Escarpment in Texas. J. Geophy. Res., 122, 10,711-10,728.
Huang, H., Zhang, G., Zhao, K., Giangrande, S. E. 2017: A Hybrid Method to Estimate Specific Differential Phase and Rainfall With Linear Programming and Physics Constraints. IEEE Trans. Geosci. Remote Sensing, 55, 96-111.
Labriola, J., N. Snook, Y. Jung, B. Putnam, and M. Xue, 2017: Ensemble hail prediction for the storms of 10 May 2010 in south-central Oklahoma using single- and double-moment microphysical schemes Mon. Wea. Rev., 145, 4911-4936.
LaDue, D. S., R. R. Hoffman, R. Pliske, and P. Daipha, 2018: Expertise in weather forecasting. In P. Ward, J. M. Schraagen, J. Gore, and E. Roth (Eds.), The Oxford Handbook of Expertise: Research and Application. Oxford University Press.
Lagerquist, R., A. McGovern and T. Smith. 2017: Machine Learning for Real-Time Prediction of Damaging Straight-Line Convective Wind. Weather Forecasting, 32, 2175-2193.
Li, H., Y. Yang, X.-M. Hu, Z. Huang, G. Wang, and B. Zhang 2017: Application of Convective Condensation Level Limiter in Convective Boundary Layer Height Retrieval Based on Lidar Data, Atmosphere, 8, 79; doi:10.3390/atmos8040079.
Li, H., Y. Yang, X.-M. Hu, Z. Huang, G. Wang, B. Zhang, and T. Zhang 2017: Evaluation of retrieval methods of daytime convective boundary layer height based on Lidar data, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD025620.
Loken, E., A. Clark, M. Xue; F. Kong, 2017: Impact of Horizontal Resolution on CAM-Derived Next-Day Probabilistic Severe Weather Forecasts, Wea. Forecasting, 32, 1403-1421.
Luo, L., M. Xue, K. Zhu, and B. Zhou, 2017: Explicit prediction of hail in a hailstorm of 19 March 2014 in eastern China using multi-moment microphysics schemes. J. Geophy. Res., 122 7560-7581.
McGovern, A., C. Potvin, and, R. A. Brown, 2017: Using Large-scale Machine Learning to Improve our Understanding of the Formation of Tornadoes. In Large-Scale Machine Learning in the Earth Sciences.
McGovern, A., K. Elmore, D. J. Gagne II, S. E. Haupt, C. Karstens, R. Lagerquist, T. Smith, and J. K. Williams. Using Artificial Intelligence to Improve Real-time Decision Making for High-Impact Weather, 2017: Bull. Ameri. Meteor. Soc. 98, 2073-2090.
Nemunaitis-Berry, K. L., P. M. Klein, J. B. Basara, and E. Fedorovich, 2017: Sensitivity of Predictions of the Urban Surface Energy Balance and Heat Island to Variations of Urban Canopy Parameters in Simulations with the WRF Model. J. Appl. Meteor. Climatol, 56, 573-595.
Putnam, B. J., M. Xue, Y. Jung, G. Zhang, and F. Kong, 2017: Simulation of polarimetric radar variables from 2013 CAPS spring experiment storm scale ensemble forecasts and evaluation of microphysics schemes. Mon. Wea. Rev., 145, 46-73.
Putnam, B. J., M. Xue, Y. Jung, N. A. Snook, and G. Zhang, 2017: Ensemble probabilistic prediction of a mesoscale convective system and associated polarimetric radar variables using single-moment and double-moment microphysics schemes and EnKF radar data assimilation. Mon. Wea. Rev., 145, 2257-2279.
Reif, D. W. and H. B. Bluestein, 2017: A 20-Year Climatology of Nocturnal Convection Initiation over the Central and Southern Great Plains during the Warm Season. Monthly Weather Review, 145, 1615-1639.
Roberts, B. and M. Xue, 2017: The role of surface drag in mesocyclone intensification leading to tornadogenesis within an idealized supercell simulation. J. Atmos. Sci., 74, 3055-3077.
Saeidi-Manesh, H., Zhang, G. 2017: Characterization and Optimization of Cylindrical Polarimetric Array Antenna Patterns for Multi-Mission Applications. PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 158, 49-61.
Saeidi-Manesh, H., Zhang, G. 2017: Cross-polarization suppression in cylindrical array antenna. Electronics LETTERS, 53(9), 577-578. 10.1109/LAWP.2017.2684538.
Shen, F., M. Xue, and J. Min, 2017: A comparison of the limited-area 3DVAR and Hybrid ETKF-En3DVAR data assimilation using radar observations at convective-scale for the prediction of Typhoon Saomai (2006) Meteor. Apps., 24, 628-641.
Smith, E., Fedorovich, E., Shapiro, A. 2017: Comparison of analytical descriptions of nocturnal low-level jets within the Ekman model framework. Environ. Fluid Mech., 17, 485-495.
Snyder, J., H. Bluestein, D. Dawson, and Y. Jung, 2017a: Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part I: Description of Experiment and Simulated ρhv Rings. Appl. Meteor. Climatol., 56, 1977-1999.
Snyder, J., H. Bluestein, D. Dawson, and Y. Jung, 2017b: Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part II: ZDR Columns and Rings and KDP Columns. Appl. Meteor. Climatol., 56, 2001-2026.
Stratman, D.R. and K.A. Brewster, 2017: Sensitivities of 1-km Forecasts of 24 May 2011 Tornadic Supercells to Microphysics Parameterizations, Mon. Wea. Rev. 147, 2697-2721.
Supinie, T. A., N. Yussouf, J. Cheng, Y. Jung, M. Xue, and S. Wang, 2017: Comparison of the analyses and forecasts of a tornadic supercell storm from assimilating phased array radar and WSR-88D observations Wea. Forecasting, 32, 1379-1401.
Surcel, M., I. Zawadzki, M. K. Yau, M. Xue, and F. Kong, 2017: More on the scale-dependence of the predictability of precipitation patterns: Extension to the 2009-2013 CAPS Spring Experiment ensemble forecasts. Mon. Wea. Rev., 145, 3625-3646.
Trytten, D. and A. M/cGovern, 2017: Moving from Managing Enrollment to Predicting Student Success. Proceedings of the Frontiers in Education.
Wen, L., Zhao, K., Zhang, G., Liu, S., Chen, G. 2017:. Impacts of Instrument Limitations on Estimated Raindrop Size Distribution, Radar Parameters, and Model Microphysics during Mei-Yu Season in East China. J. Atmos. Oceanic Tech., 34, 1021-1037.
Xu, X., J. Song, Y. Wang, and M. Xue, 2017: Quantifying the effect of horizontal propagation of three-dimensional mountain waves on the wave momentum flux using Gaussian beam approximation. J. Atmos. Sci., 74, 1783-1798.
Xu, X., M. Xue, Y. Wang, and H. Huang, 2017: Mechanisms of secondary convection within a meiyu frontal mesoscale convective system in eastern China. J. Geophy. Res., 122, 47-64.
Xu, X., Y. Wang, M. Xue, and K. Zhu, 2017: Impacts of horizontal propagation of orographic gravity waves on the wave drag in the stratosphere and lower mesosphere. J. Geophy. Res., 122, 11,301-11,312.
Zhang, C. and Y. Wang, 2017: Projected Future Changes of Tropical Cyclone Activity over the Western North and South Pacific in a 20-km-Mesh Regional Climate Model. Journal of Climate, 30, 5923-5941.
Zhao, K., M. Wang, M. Xue, P. Fu, Z. Yang, Y. Zhang, W.-C. Lee, F. Zhang, Q. Lin, and Z. Li, 2017: Doppler radar analysis of a tornadic miniature supercell during the Landfall of Typhoon Mujigae (2015) in South China. Bull. Amer. Meteor. Soc., 98, 1821-1831.
Zhou, B., K. Zhu, and M. Xue, 2017: A Physically-based horizontal subgrid-scale turbulent mixing parameterization for the convective boundary layer in mesoscale models. J. Atmos. Sci., 74 2657-2674.
Zhou, B., M. Xue, and K. Zhu, 2017: A Grid-Refinement-Based Approach to Modeling the Convective Boundary Layer in the Gray Zone: A pilot study. J. Atmos. Sci., 74, 3497-3513.
Bluestein, H. B., French, M. M., Snyder, J. C., Houser, J. B. 2016: Doppler-radar observations of anticyclonic tornadoes in cyclonically rotating, right-moving supercells. Monthly Weather Review, 144, 1591-1616.
Bodine, D. J., Maruyama, T., Palmer, R. D., Fulton, C. J., Bluestein, H. B. 2016: Sensitivity of tornado dynamics to soil debris. J. Atmos. Sci., 73, 2783-2801.
Bonin, T. A., Newman, J. F., Klein, P. M., Chilson, P. B., Wharton, S. 2016: Improvement of vertical velocity statistics measured by a Doppler lidar through comparison with sonic anemometer observations. Atmospheric Measurement Techniques, 9(12), 5833-5852.
Boroka, L., G. Zhang and D. Zrnic, 2016: Spectral Processing for Step Scanning Phased-Array Radars. IEEE Transactions on Geoscience and Remote Sensing, 54, (8), 4534-4543.
Byrd, A.D., Ivic, I.R., Palmer, R.D., Isom, B.M., Cheong, B.L., Schenkman, A., Xue, M. 2016: A weather radar simulator for the evaluation of polarimetric phased array performance. IEEE Trans. Geosci. Remote Sensing, 54, 4178-4189.
Chen, S., J. J. Gourley, Y. Hong, Q. Cao, N. Carr, P.-E. Kirstetter, J. Zhang, and Z. Flamig, 2016: Using Citizen Science Reports to Evaluate Estimates of Surface Precipitation Type. Bull. Ameri. Meteor. Soc., 97, 187-193.
Dahl, N. and M. Xue Prediction of the 14 June 2010 Oklahoma City extreme precipitation and flooding event in a multi-physics multi-Initial condition storm scale ensemble forecasting system. Wea. Forecasting, 31, 1215-1246.
Dawson, D.T., II M. Xue, A. Shapiro, and J. Milbrandt, 2016: Sensitivity of Real-Data Simulations of the 3 May 1999 Oklahoma City Tornadic Supercell and Associated Tornadoes to Multi-moment Microphysics. Part II: Analysis of Buoyancy and Dynamic Pressure Forces in Simulated Tornado-Like Vortices. Journal of Atmospheric Sciences, 73,1039-1061.
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Qiu, L., M. Gan, K. Wang, J. Deng, Y. Hong, J. Xu, and W. Zhu , 2012: Source Identification of soil Cu, Zn, Pb, AND Cd from anthropogenic activities by decision tree analysis in Fuyang County, China." Fresenius Environmental Bulletin, 21(6), 1390-1398.
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Schenkman, A., M. Xue, and A. Shapiro, 2012: Tornadogenesis in a simulated mesovortex within a real-data-initialized mesoscale convective system. J. Atmos. Sci, 69, 3372-3390.
Shapiro, A., B. Burkholder, and E. Fedorovich, 2012: Analytical and numerical investigation of two-dimensional katabatic flow resulting from local surface cooling. Bound.-Layer Meteor., 145, 249-272.
Shapiro, A., and E. Fedorovich, 2012: Secularly growing oscillations in a stratified rotating fluid. Phys. Fluids, 24, 054107.
Shen, X.; Q. Qin, Y. Hong, and G. Zhang 2012: A matrix inversion approach of computing T-matrix for axially symmetrical particles of extreme shape and dielectrically large dimension. Radio Science, 47(5), RS5005.
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Wang, Q.-W. and M.Xue, 2012: Convective initation on 19 June 2002 during IHOP: High-resolution simulations and analysis of the mesoscale structures and convection initiations. J. Geophy. Res., 117, D12107.
Wang, S., M. Xue, and J. Min, 2012: A four-dimensional asynchronous ensemble square-root filter (4DEnSRF) and tests with simulated radar data. Quart. J. Roy. Meteor. Soc., DOI:10.1002/qj.1987.
Wang, M., K. Zhao, W.-C. Lee, B.J.-D. Jou, and M. Xue, 2012: The gradient velocity track display (GrVTD) technique for retrieveing tropical cyclone primary circulation from aliased velocities measured by single Doppler radar. J. Atmos. Ocean. Tech., 29, 1026,1041.
Wu, H.; R.F. Adler, Y. Hong, Y. Tian, and F. Policelli, 2012: Evaluation of Global Flood Detection Using Satellite-Based Rainfall and a Hydrologic Model. Journal of Hydrometeorology, 13(4), 1268–1284.
Wurman, J., D. Dowell, Y. Richardson, P. Markowski, D. Burgess, L. Wicker, and H. Bluestein 2012: The Second Verification of the Origins of Rotation in Tornadoes Experiment: VORTEX2. Bull. Amer. Meteor. Soc., 93, 1147-1170.
Xu, X., Y. Wang, and M. Xue, 2012: Momentum flux and flux divergence of gravity waves in directional shear flows over three-dimensional mountains. J. Atmos. Sci., 69, 3733-3744.
Yong, B.; Y. Hong, L.L. Ren, J.J. Gourley, G.J. Huffman, X. Chen, W. Wang, and S.I.Khan, 2012: Assessment of evolving TRMM-based multisatellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin. Journal of Geophysical Research, 117(D9), D09108.
Yong, B.; L.L. Ren, Y. Hong, J.J. Gourley, X. Chen, Y.J. Zhang, X.L. Yang, Z.X. Zhang, and W.G. Wang, 2012: A novel multiple flow direction algorithm for computing the topographic wetness index. Hydrology Research, 43(1-2), 135-145.
Zahraei, A.; K-L. Hsu, S. Sorooshian, J.J. Gourley, V. Lakshmanan, Y. Hong, and T. Bellerby, T., 2012: Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach. Atmospheric Research, 118, 418–434.
Zhao, K., X. Li, M. Xue, B.J.-D. Jou, and W.-C. Lee, 2012: Short-term forecasting through intermittent assimilation of data from Taiwan and Mainland China coastal radars for typhoon Meranti (2010) at landfall. J. Geophy. Res., 117, D06108.
Zhao, K., M. Xue, and W.-C. Lee, 2012: Assimilation of GBVTD-retrieved winds from single-Doppler radar for short-term forecasting of Super Typhoon Saomai (0608) at landfall. Quart. J. Roy. Meteor. Soc., 138, 1055–1071.
Zhu, J., F. Kong, and H. Lei, 2012: A regional ensemble forecast system for stratiform precipitation events in Northern China Region. Part I: A case study. Advances in Atmos. Sci., 29, 201-216.
Zhu, Meijun and Dou, J., 2012: Two dimensional Lp Minkowski problem and nonlinear equations with negative exponents. Adv. Mat. 230, 1209-1221.
Bodine, D., Michaud, D., R.D. Palmer, P.L. Heinselman, J. Brotzge, N. Gasperoni, B.L. Cheong, M. Xue, and J. Gao, 2011: Understanding radar refractivity: Sources of uncertainty. J. Atmos. Ocean Tech., 50,2543-2560.
Brotzge, J., S. Erickson and H. Brooks, 2011: A five-year climatology of tornado false alarms. Wea. Forecasting, 26, 534-544.
Clark, A.J., J.S. Kain, P.T. Marsh, J. Correia, Jr., M. Xue and F. Kong, 2011: Forecasting Tornado Pathlengths Using a Three-Dimensional Object Identification Algorithm Applied to Convection-Allowing Forecasts. Wea. Forecasting, 27, 1090 - 1113.
Clark, A.J., J.S. Kain, D.J. Stensrud, M. Xue, F. Kong, M.C. Coniglio, K.W. Thomas, Y. Wang, K. Brewster, J. Gao, X. Wang, S.J. Weiss, D. Bright, and J. Du, 2011: Probabilistic precipitation forecast skill as a function of ensemble size and spatial scale in a convection-allowing ensemble. Mon. Wea. Rev., 139, 1410-1418.
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Dong, J., M. Xue, and K.K. Droegmeier, 2011: The analysis and impact of simulated high-resolution surface observations in addition to radar data for convective storms with an ensemble Kalman filter. Meteor, Atmos., Phy., 112, 41-61.
Hoekstra, S.K. Klockow, R. Butterworth, J. Brotzge, S. Erickson, and H. Brooks, 2011: A social perspective of warn on forecast: Ideal tornado warning lead time and the general public's perceiptions of weather risks. Weather, Climate, and Society, 3, 128-140.
Hu, X.-M., F. Zhang, G. Yu, J.D. Fuentes, and L. Wu, 2011: Contribution of mixed-phase boundary layer clouds to the termination of ozone depletion events in the Arctic, Geophys. Res. Lett 38, L21801, doi:1029/2011GL049229.
Johnson, A., X. Wang, F. Kong, and M. Xue, 2011a: Hierarchical cluster analysis of a convection-allowing ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part I: Development of object-oriented cluster analysis method for precipitation fields. Mon. Wea. Rev., 139, 3673-3693.
Johnson, A., X. Wang, F. Kong, and M. Xue, 2011b: Hierarchical cluster analysis of a cinvection-allowing ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Season-long ensemble clustering and implication for implication for optimal ensemble design. Mon. Wea. Rev., 139, 3694-3710.
Limpasuvan, V., M. Alexander, Y. Orsolini, D. Wu, M. Xue, J. Richter, and C. Yamashita, 2011: Mesoscale simulations of gravity waves during the 2009 major stratospheric suddent warming., J. Geophy. Res., In press.
Nallapareddy, A., A. Shapiro, and J.J. Gourley, 2011: A climatology of nocturnal warming events associated with colf front passages in Oklahoma. J. Appl. Meteor. Climatol.,50,2042-2061.
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Shapiro, A., K.M. Willingham, and C.K. Potvin, 2010: Spatially variable advection correction of radar data. Part I: Theoretical considerations. J. Atmos. Sci., 67, 3445-3456.
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Schenkman, A., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2011: The analysis and prediction of the 8-9 May 2007 Oklahoma tornadic mesoscale convective system by assimilating WSR-88D and CASA radar data using 3DVAR. Mon. Wea. Rev., 139, 224-246.
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Zhang, G., S. Luchs, A.V. Ryzhkov, M. Xue, L. Ryzhkova, and Q. Cao, 2011: Winter precipitation microphysics characterized by polarimetric radar and video disdrometer observations in central Oklahoma. J. Appl., Meteor. Climatol., 50, 1558-1570.
Zhao, K., M. Xue, and W.-C. Lee, 2011: Assimilation of GBVTD-retrieved winds from single-Doppler radar for short-term forecasting of Super Typhoon Saomai (0608) at landfall,Quart. J. Roy. Meteor. Soc., DOI: 10.1002/qj.975.
Axelsen, S. L., A. Shapiro, E. Fedorovich, and H. van Dop, 2010: Analytical solution for katabatic flow induced by an isolated cold strip. Env. Fluid Mech., 10, 387-414.
Brotzge, J., and S. Erickson, 2010: Tornadoes with no NWS warning. Wea. Forecasting, 25, 159-172.
Brotzge, J., K. Hondl, B. Philips, L. Lemon, E. Bass, D. Rude, and D. Andra, Jr., 2010: Evaluation of Distributed Collaborative Adaptive Sensing for detection of low-level circulations and implications for severe weather warning operations. Wea. Forecasting, 25, 173-189.
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Clark, A. J., W. A. Gallus Jr., M. Xue, and F. Kong, 2010: Growth of spread in convection-allowing and convection-parameterizing ensembles Wea. Forecasting, 25, 594-612.
Clark, A.J., W.A. Gallus Jr., M. Xue, and F. Kong, 2010: Convection-allowing and convection-parameterizing ensemble forecasts of a mescoscale convective vortex and associated severe weather. Wea. Forecasting, 25, 1052-1081.
Coniglio, M. C., K. L. Elmore, J. S. Kain, S. Weiss, and M. Xue, 2010: Evaluation of WRF model output for severe-weather forecasting from the 2008 NOAA Hazardous Weather Testbed Spring Experiment. Wea. Forecasting, 25, 408-427.
Dawson, D. T., II, M. Xue, J. A. Milbrandt, and M. K. Yau, 2010: Comparison of evaporation and cold pool development between single-moment and multi-moment bulk microphysics schemes in idealized simulations of tornadic thunderstorms. Mon. Wea. Rev., 138, 1152-1171..
Ge, G., J. Gao, K. Brewster, and M. Xue, 2010: Impacts of beam broadening and earth curvature on 3D variational radar data assimilation with two Doppler radars. J. Atmos. Ocean Tech., 27, 617-636.
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Jung, Y., M. Xue, and G. Zhang, 2010: Simultaneous estimation of microphysical parameters and atmospheric state using simulated polarimetric radar data and ensemble Kalman filter in the presence of observation operator error, Mon. Wea. Rev., 138, 539-562.
Jung, Y., M. Xue, and G. Zhang, 2010: Simulations of polarimetric radar signatures of a supercell storm using a two-moment bulk microphysics scheme. J. Appl. Meteor. Climatol., 49, 146-163.
Kain, J. S., M. Xue, M. C. Coniglio, S. J. Weiss, F. Kong, T. L. Jensen, B. G. Brown, J. Gao, K. Brewster, K. W. Thomas, Y. Wang, C. S. Schwartz, and J. J. Levit, 2010: Assessing advances in the assimilation of radar data within a collaborative forecasting-research environment. Wea. Forecasting, 25, 1510-1521.
Karanl, H., P. J. Fitzpatrick, C.M. Hill, Y. Li, Q. Xiao, E. Lim, 2010: The Formation of Multiple Squall Lines and the Impact of WSR-88D Radial Winds in a WRF simulation Northern Gulf Institute. Weather and Forecast, 25, 242-262.
Schenkman, A., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2010: Impact of radar data assimilation on the analysis and prediction of the 8-9 May 2007 Oklahoma tornadic mesoscale convective system, Part II: Sub-storm-scale mesovortices on a 400 m Grid. Mon. Wea. Rev.,139, 224-246.
Schwartz, C. S., J. S. Kain, S. J. Weiss, M. Xue, D. R. Bright, F. Kong, K. W. Thomas, J. J. Levit, M. C. Coniglio, M. S. Wandishim, 2010: Toward improved convection-allowing ensembles: Model physics sensitivities and optimizing probabilistic guidance with small ensemble membership. Weather and Forecasting, 25, 263-280.
Shapiro, A., and E. Fedorovich, 2010: Analytical description of a nocturnal low-level jet. Q. J. Roy. Met. Soc., 136, 1255-1262.
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Wang, X., 2010: Incorporating ensemble covariance in the Gridpoint Statistical Interpolation (GSI) variational minimization: a mathematical framework. Mo. Wea.Rev., 138, 2990-2995.
Bodine, D., P. M. Klein, S. C. Arms, and A. Shapiro, 2009: Variability of surface air temperature over gently-sloped terrain. J. Appl. Meteor. Climatol., 48, 1117–1141.
Brewster, K.A., F.H. Carr, J. Gao, W. Lapenta, G. Jedlovic, 2009: Impact of the Assimilation of AIRS Soundings and AMSR-E Rainfall on Short Term Forecasts of Mesoscale Weather, Final Report to NASA Grant NNG04GM66G, 36 pp.
Brewster, K.A., K.C. Crawford, J.E. Hocker, R. McPherson, W.G. McPherson, Jr., K.L. Nemunaitis, M. Sumpor, and contributors. K.C. Crawford Project Director, 2009: DHMZ Modernization Project: Final Report for the Meteorological and Hydrological Service of the Republic of Croatia. 410 pp.
Brotzge, J., and S. Erickson, 2009: NWS tornado warnings with zero or negative lead times. Wea. Forecasting, 24, 140-154.
Burkholder, B., A. Shapiro, and E. Fedorovich, 2009: Katabatic flow induced by a cross-slope band of surface cooling. Acta Geophys., 57, 923–949.
Carbone, R.E., J. Block, S. E. Boselly, G. R. Carmichael, F. H. Carr, V. Chandrasekar, E. Gruntfest, R. M. Hoff, W. F. Krajewski, M. A. LeMone, J. F. W. Purdom, T. W. Schlatter, E. S. Takle, and J. Titlow, 2009: "Observing Weather and Climate from the ground up: A Nationwide Network of Networks". The National Academies Press, Washington, D.C. 234 pp.
Clark, A. J., W. A. Gallus, Jr., M. Xue, and F. Kong, 2009: A comparison of precipitation forecast skill between small near-convection-permitting and large convection-parameterizing ensembles. Wea. and Forecasting, 24, 1121-1140.
Dunning, T. H., Jr., K. Schulten, J. Tromp, J. P. Ostriker, K. K. Droegemeier, M. Xue, and P. Fussell, 2009: Science and engineering in the petascale era. Computing Sci. Engineering, 11, 28-36.
Fedorovich, E., and A. Shapiro, 2009: Structure of numerically simulated katabatic and anabatic flows along steep slopes. Acta Geophys. 57, 981–1010.
Fedorovich, E. and A. Shapiro, 2009: Turbulent natural convection along a vertical plate immersed in a stably stratified fluid. J. Fluid Mech., 636, 41–57.
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Gagne, D.J., A. McGovern, and J. Brotzge 2009: Classification of convective areas using decision trees. J. Atmos. Ocean. Technol., 26, 140-154.
McLaughlin, D., D. Pepyne, V. Chandrasekar, B. Philips, J. Kursoe, et al., 2009: Short-wavelength technology and the potential for distributed networks of small radar systems. Bull. Amer. Meteor. Soc., 90, 1797-1817.
McPherson, R., K. Brewster, K.C. Crawford, J. Hocker, L. Lemon, W.G. McPherson, Jr., 2009: Needs Assessment for the Meteorological and Hydrological Service Modernization Project of the Republic of Croatia. 97 pp.
Sheng, C., M. Xue, and S. Gao, 2009: The structure and evolution of sea breezes during Qingdao Olympics sailing test event in 2006. Adv. Atmos. Sci., 26, 132–142.
Shapiro, A., P. M. Klein, S. C. Arms, D. Bodine and M. Carney, 2009: The Lake Thunderbird Micronet Project, Bull. Amer. Meteor. Soc., 90, 811–823.
Shapiro, A., and E. Fedorovich, 2009: Nocturnal low-level jet over a shallow slope, Acta Geophys., 57, 950–980.
Shapiro, A., C. K. Potvin, and J. Gao, 2009: Use of a vertical vorticity equation in variational dual-Doppler wind analysis, J. Atmos. Oceanic Technol., 26, 2089–2106.
Stensrud, D. J., M. Xue, L. Wicker, K. Kelleher, M. Foster, J. Schaefer, R. Schneider, S. Benjamin, J. Ferree, J. Tuell, and J. Hayes, 2009: Convective-scale Warn on Forecast: A vision for 2020. Bull. Am. Meteor. Soc., Bull. Am. Meteor. Soc., 90, 1487-1499.
Potvin, C. K., A. Shapiro, T.-Y. Yu, J. Gao, and M. Xue, 2009: Using a low-order model to characterize and detect tornadoes in multiple-Doppler radar data. Mon. Wea. Rev., 137, 1230–1249.
Wang, X., T. M. Hamill, J. S. Whitaker, C. H. Bishop, 2009: A comparison of the hybrid and EnSRF analysis schemes in the presence of model error due to unresolved scales. Mon. Wea. Rev.,137, 3219-3232.
Xue, M., M. Tong, and G. Zhang, 2009: Simultaneous state estimation and attenuation correction for thunderstorms with radar data using an ensemble Kalman filter: Tests with simulated data. Quart. J. Royal Meteor. Soc., 135, 1409-1423.
Zhao, K. and M. Xue, 2009: Assimilation of coastal Doppler radar data with the ARPS 3DVAR and cloud analysis for the prediction of Hurricane Ike (2008). Geophy. Res. Letters, 36, L12803, doi:10.1029/2009GL038658.
Cheong, B. L., R. D. Palmer, and M. Xue, 2008: A time-series weather radar simulator based on high-resolution atmospheric models. J. Atmos. Ocean. Tech., 25, 230-243.
Gao, J. and M. Xue, 2008: An efficient dual-resolution approach for ensemble data assimilation and tests with assimilated Doppler radar data. Mon. Wea. Rev., 136, 945-963.
Gao, J., K. Brewster, and M. Xue, 2008: Sensitivity of radio reflectivity to moisture and temperature and its influnce on radar ray path. Adv. Atmos. Sci., 25, 1098-1106.
Gao, S., S. Yang, M. Xue, and C. Cui, 2008: The total deformation and its role in heavy precipitation events associated with deformation-dominant flow patterns. Adv. Atmos. Sci., 25, 11-23.
Jung, Y., G. Zhang, and M. Xue, 2008: Assimilation of simulated polarimetric radar data for a convective storm using ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables. Mon. Wea. Rev., 136, 2228–2245.
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Kain, J. S., S. J. Weiss, D. R. Bright, M. E. Baldwin, J. J. Levit, G. W. Carbin, C. S. Schwartz, M. Weisman, K. K. Droegemeier, D. Weber, and K. W. Thomas, 2009: Some practical considerations for the first generation of operational convection-allowing NWP: How much resolution is enough? Wea. Forecasting, 23, 931–952.
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Liu, H. and M. Xue, 2008: Prediction of convective initiation and storm evolution on 12 June 2002 during IHOP. Part I: Control simulation and sensitivity experiments. Mon. Wea. Rev., 136, 2261-2283.
Loftus, A., D. Weber, and C. A. Doswell, III, 2008: Parameterized mesoscale forcing mechanisms for initiating numerically-simulated isolated multicellular convection. Mon. Wea. Rev., 136, 2408–2421.
Shapiro, A., and E. Fedorovich, 2008: Coriolis effects in homogeneous and inhomogeneous katabatic flows. Q. J. Roy. Met. Soc., 134, 353–370.
McLaughlin, D., D. Pepyne, V. Chandrasekar, B. Philips, J. Kurose, M. Zink, K. Droegemeier, S. Cruz-Pol, F. Junyent, J. Brotzge, D. Westbrook, N. Bharadwaj, Y. Wang, E. Lyons, K. Hondl, Y. Liu, E. Knapp, M. Xue, A. Hopf, K. Kloesel, A. DeFonzo, P. Kollias, K. Brewster, R. Contreras, T. Djaferis, E. Insanic, S. Frasier, and F. Carr, 2009: Short-wavelength technology and the potential for distributed networks of small radar systems. Bull. Amer. Meteor. Soc.,Bull. Amer. Meteor. Soc., 90, 1797-1817.
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Tanamachi, R. L., W. Feltz, and M. Xue, 2008: Observations and numerical simulation of a water vapor oscillation event during the International H2O Project (IHOP_2002). Mon. Wea. Rev., 136, 3106-3120.
Tong, M. and M. Xue, 2008: Simultaneous estimation of microphysical parameters and atmospheric state with radar data and ensemble Kalman filter. Part I: Sensitivity analysis and parameter identifiability. Mon. Wea. Rev., 136, 1630-1648.
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Brotzge, Jerry; Droegemeier, Kelvin, 2006: CASA and LEAD: Adaptive CyberInfrastructure for Real-Time Multiscale Weather Forecasting, IEEE Computer Society, 66-74.
Hu, M. and M. Xue, 2007: Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm case. Mon. Wea. Rev., 135, 507–525.
Hu, M. and M. Xue, 2007: Initializing convection using cloud analysis and radar data in grid-point statistical interpolation (GSI) system and impact on the forecast of advanced research WRF. Geophy. Res. Letters. 34, L07808, doi:10.1029/2006GL028847.
Keith, R. and S. M. Leyton, 2007: An experiment to measure the value of statistical probability forecasts for airports. Wea. Forecasting. 22, 928-935.
Kelleher, K., K.K. Droegemeier and co-authors, 2007: Project CRAFT: Technical Aspects of a Real Time Delivery System for NEXRAD Level II Data via the Internet. Bull. Amer. Meteor. Soc., 88, 1045-1057.
Kong, F., K.K. Droegemeier and N.L. Hickmon, 2007: Multiresolution ensemble forecasts of an observed tornadic thunderstorm system, Part II. Mon. Wea. Rev., 135, 759-782.
Limpasuvan, V., D. L. Wu, M. J. Alexander, M. Xue, M. Hu, S. Pawson, and J. R. Perkins, 2007: The ARPS stratospheric gravity wave simulation over Greenland during 24 January 2005. J. Geo. Res., 112, D10115, doi:10.1029/2006JD007823.
Liu, S., M. Xue, and Q. Xu, 2007: Using wavelet analysis to detect tornadoes from Doppler radar radial-velocity observations. J. Atmos. Ocean Tech., 24, 344-359.
Liu, H., M. Xue, R. J. Purser, and D. F. Parrish, 2007: Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR with isotropic and anisotropic recursive filters. Mon. Wea. Rev., 135, 1506–1521.
Martin, W. J., and A. Shapiro, 2007: Discrimination of bird and insect radar echoes in clear-air using high-resolution radars. J. Atmos. and Oceanic Technol., 24, 1215-1230.
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Richardson, Y.P., K.K. Droegemeier and R.P. Davies-Jones, 2007: The influence of horizontal environmental variability on numerically-simulated convective storms, Part I: Variations in vertical shear. Mon. Wea. Rev., 135, 3429-3455.
Shapiro, A., and E. Fedorovich, 2007: Katabatic flow along a differentially-cooled sloping surface. J. Fluid Mech., 571, 149-175.
Wang, X., T. M. Hammill, and C.H. Bishop, 2007: A comparison of hybrid ensemble transform Kalman filter-OI and ensemble square-root filter analysis schemes. Mon. Wea. Rev., 135, 1055-1076.
Wang, X., C. Snyder, and T.M. Hammill, 2007: On the theoretical equivalence of differently proposed ensemble/3D-Var hybrid analysis schemes. Mon. Wea. Rev., 135, 222-227.
White, L., and A. Shapiro, 2007: Radar network scanning coordination based on ensemble transform Kalman filtering variance optimization. Applied Mathematics and Computation, 188, 1285-1309.
White, L., and A. Shapiro, 2007: Optimization of radar scanning strategies using an ensemble relative error criterion. Applied Mathematics and Computation, 188, 693-712.
Xue, M., K. K. Droegemeier, and D. Weber, 2007: Numerical prediction of high-impact local weather: A driver for petascale computing. In Petascale Computing: Algorithms and Applications, D. Bader, Ed., Taylor & Francis. 103-124.
Xue, M., Y. Jung, and G. Zhang, 2007: Error modeling of simulated reflectivity observations for ensemble Kalman filter data assimilation of convective storms. Geophys. Res. Letters, 34, L10802, doi:10.1029/2007GL029945.
Xue, M., S. Liu, and T. Yu, 2007: Variational analysis of over-sampled dual-Doppler radial velocity data and application to the analysis of tornado circulations. J. Atmos. Ocean Tech., 24, 403–414.
Yu, T.-Y., Y. Wang, A. Shapiro, M. Yeary, D. Zrnic, and R. J. Doviak, 2007: Characterization of tornado spectral signatures using higher order spectra. J. Atmos. and Oceanic Technol., 24, 1997-2013.
Zrnic, D. S., J. F. Kimpel, D. E. Forsyth, A. Shapiro, G. Crain, R. Ferek, J. Heimmer, W. Benner, T. J. McNellis, and R. J. Vogt, 2007: Agile beam phased array radar for weather observations. Bull. Amer. Meteor. Soc., 88, 1753-1766.
Brotzge, J., K.K. Droegemeier, and D.J. McLaughlin, 2006: Collaborative Adaptive Sensing of the Atmosphere (CASA): New radar system for improving analysis and forecasting of surface weather conditions. J. Transport. Res. Board, No. 1948, 145-151.
Chow, F. K., A. P. Weigel, R. L. Street, M. W. Rotach, and M. Xue, 2006: High-resolution large-eddy simulations of flow in a steep Alpine valley. Part I: Methodology, verification and sensitivity experiments. J. Appl. Meteor., 45, 63-86.
Dawson, D. T., II and M. Xue, 2006: Numerical forecasts of the 15-16 June 2002 Southern Plains severe MCS: Impact of mesoscale data and cloud analysis. Mon. Wea. Rev., 134, 1607-1629.
Gao, J., K. Brewster, and M. Xue, 2006: A comparison of the radar ray path equations and approximations for use in radar data assimilation. Adv. Atmos. Sci., 32, 190-198.
Gao, J., M. Xue, S. Y. Lee, K. K. Droegemeier, and A. Shapiro, 2006: A three-dimensionl variational method for velocity retrievals from single-Doppler radar observations on supercell storms. Meteo. Atmos. Phys., 94, 11-26.
Hu, M., M. Xue, and Keith Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon. Wea. Rev., 134, 675-698.
Kong, F., K. K. Droegemeier, and N. L. Hickmon, 2006: Multi-resolution ensemble forecasts of an observed tornadic thunderstorm system, Part I: Comparison of coarse and fine-grid experiments. Mon. Wea. Rev., 134, 807-833.
Liu, H. and M. Xue, 2006: Retrieval of moisture from slant-path water vapor observations of a hypothetical GPS network using a three-dimensional variational scheme with anisotropic background error. Mon. Wea. Rev., 134, 933-949.
Martin, W. J. and M. Xue, 2006: Initial condition sensitivity analysis of a mesoscale forecast using very-large ensembles. Mon. Wea. Rev., 134, 192–207.
Nascimento, E. and K.K. Droegemeier, 2006: Dynamic adjustment in a numerically simulated mesoscale convective system: Impact of the wind field. J. Atmos. Sci., 63, 2246-2268.
Plale, B., D. Gannon, J. Brotzge, K.K. Droegemeier and Co-Authors, 2006: CASA and LEAD: Adaptive cyberinfrastructure for real-time multiscale weather forecasting. IEEE Computer, 39, 66-74.
Shapiro, A. 2006: An analytical solution of the Navier-Stokes equations for unsteady backward stagnation-point flow with injection or suction. Zamm-Zeitschrift Fur Angewandte Mathematik Und Mechnik, 86, 281-290.
Shapiro, A., 2006: An analytical solution of the Navier-Stokes equations for unsteady backward stagnation-point flow with injection or suction. J. Appl. Math. Mech. (ZAMM), 86, 281-290.
Shapiro, A and E. Fedorovich, 2006: Natural convection in a stably stratified fluid along vertical plates and cylinders with temporally periodic surface temperature variations. J. Fluid Mech., 546, 295-311.
Sheng, C., S. Gao, and M. Xue, 2006: Short-term prediction of a heavy precipitation event by assimilating Chinese CINRAD radar reflectivity data using complex cloud analysis. Meteor. Atmos. Phy., 94, 167-183.
Wei, M., Z. Toth, R. Wobus, Y. Zhu, C.H. Bishop and W. Wang, 2006: Ensemble transform Kalman filter-based ensemble perturbations in an operational global prediction system at NCEP. Tellus, 58A, 28-44.
Weigel, A. P., F. K. Chow, M. W. Rotach, R. L. Street, and M. Xue, 2006: High-resolution large-eddy simulations of flow in a steep Alpine valley. Part II: Flow structure and heat budgets. J. Appl. Meteor., 45, 87-107.
Xu, Q., S. Liu, and M. Xue, 2006: Background error covariance functions for vector wind analysis using Doppler radar radial-velocity observations. Quart. J. Roy. Meteor. Soc., 132, 2887-2904.
Xue, M., M. Tong, and K. K. Droegemeier, 2006: An OSSE framework based on the ensemble square-root Kalman filter for evaluating impact of data from radar networks on thunderstorm analysis and forecast. J. Atmos. Ocean Tech., 23, 46–66.
Yeary, M., Y. Zhai, T.-Y. Yu, S. Nematifar, and A. Shapiro, 2006: Spectral calculations and target tracking for remote sensing, IEEE Transactions on Instrumentation and Measurement, 55, (4), 1430-1442.
Adlerman, E. J. and K. K. Droegemeier, 2005: The dependence of numerically simulated cyclic mesocyclogenesis upon environmental vertical wind shear. Mon. Wea. Rev. , 133, 3595-3623.
Chow, F. K., R. L. Street , M. Xue, and J. H. Ferziger, 2005: Explicit filtering and reconstruction turbulence modeling for large-eddy simulation of neutral boundary layer flow. J. Atmos. Sci. , 62, 2058-2077.
Dabberdt, W. F., T. W. Schlatter, F. H. Carr, E. W. Joe Friday, D. Jorgensen, S. Koch, M. Pirone, F. M. Ralph, J. Sun, P. Welsh, J. W. Wilson, and X. Zou, 2005: Multifunctional mesoscale observing networks. Bull. Amer. Meteor. Soc., 86, 961-982.
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Gonzalez-Espada, W. and D. S. Zaras, 2005: Evaluation of the Impact of the NWC REU program compared with other undergraduate research experiences. J. Geosci. Edu., 54, 541-549.
Martin, W. J., and A. Shapiro, 2005: Impact of radar tilt and ground clutter on wind measurements in clear air. J. Atmos. and Oceanic Technol., 22, 649-663.
Shapiro, A., 2005: Drag-induced transfer of horizontal momentum between air and raindrops. J. Atmos. Sci., 62, 2205-2219.
Shapiro, A., and E. Fedorovich, 2005: Analytical and numerical study of natural convection in a stably stratified fluid along vertical plates and cylinders with temporally-periodic surface temperature variations. Progress in Computational Heat and Mass Transfers, Vol. 1, R. Bennacer, A. A. Mohamad, M. El Ganaoui, J. Sicard, Eds., Lavoisier, 77-82.
Smedsmo, J. L., E. Foufoula-Georgious, V. Vuruputur, F. Kong, and K. K. Droegemeier, 2005: On the vertical structure of modeled and observed clouds: Insights for rainfall retrieval and microphysical parameterization. J. Appl. Meteor., 44, 1866-1884.
Tong, M. and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSSE Experiments. Mon. Wea. Rev., 133, 1789-1807.
Wang, X., and C.H. Bishop, 2005: Improvement of ensemble reliability with a new dressing kernal. Q.J.R. Meteo. Soc., 131, 965-986.
White, L., and A. Shapiro, 2005: Optimization of wind field retrieval procedures. Applied Math. Computation. 171, 25-52.
Xiao, Y., M. Xue, W. J. Martin, and J. Gao, 2005: Development of an adjoint for a complex atmospheric model, the ARPS, using TAF. In Automatic Differentiation: Applications, Theory, and Implementations, H. M. Bücker, G. F. Corliss, P. Hovland, U. Naumann, and B. Norris, Eds., Springer, 263-272.
Brotzge, J.A., 2004: A two-year comparison of the surface water and energy budgets between two OASIS sites and NCEP-NCAR reanalysis data. J. Hydrometeor., 5,311-326.
Gao, J. and K. K. Droegemeier, 2004: A variational technique for dealising Doppler radial velocity data. J. Appl. Meteor. , 42, 934-940.
Gao, J.-D., K. K. Droegemeier, J.-D. Gong, and Q. Xu, 2004: A method for retrieving mean horizontal wind profiles from single-Doppler radar observations contaminated by aliasing. Mon. Wea. Rev. , 132, 1399-1409.
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Nutter, P., D. Stensrud, and M. Xue, 2004: Effects of coarsely-resolved and temporally-interpolated lateral boundary conditions on the dispersion of limited-area ensemble forecasts. Mon. Wea. Rev. , 132, 2358-2377.
Nutter, P., M. Xue, and D. Stensrud, 2004: Application of lateral boundary condition perturbations to help restore dispersion in limited area ensemble forecasts. Mon. Wea. Rev. , 132, 2378-2390.
Plale, B., J. Alameda, R. Wilhelmson, D. Gannon, S. Hampton, A. Rossi, and K.K. Droegemeier, 2004: User-oriented active management of scientific data with my LEAD. IEEE Internet Computing, 9, 27-34.
Ren, D. and M. Xue, 2004: A revised force-restore model for land-surface modeling. J. App. Meteor. , 43, 1768-1782.
Ren, D., M. Xue, and A. Henderson-Sellers, 2004: The effects of hydraulic lift in simulating superficial soil moisture for vegetated surfaces under dry conditions. J. Hydrometero. , 5, 1181-1191.
Shapiro, A. and E. Fedorovich, 2004: Unsteady convectively driven flow along a vertical plate immersed in a stably stratified fluid. J. Fluid Mech., 498, 333-352.
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Sharif, H. O., F. L. Ogden, W. F. Krajewski, and M. Xue, 2004: Statistical analysis of radar-rainfall error propagation. J. Hydrometero. , 5, 199-212.
Spencer, P. L. and J. Gao, 2004: Can gradient information be used to improve variational objective analysis? Mon. Wea. Rev. , 132, 2977-2994.
Wang, X., C.H. Bishop, and Simon J. Julier, 2004: Which is better, an ensemble of positive-negative pairs or a centered spherical simplex ensemble? Mon. Wea. Rev., 132, 1590-1605.
Brewster, Keith A. 2003: Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part I: Method Description and Simulation Testing. Monthly Weather Review: Vol. 131, No. 3, pp. 480-492.
Brewster, Keith A. 2003: Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part II: Application to a Severe Storm Outbreak. Monthly Weather Review: Vol. 131, No. 3, pp. 493-507.
Brooks, H., C. Doswell III, D. Dowell, R. Holle, R. Johns, D. Jorgensen, D. Schultz, D. Stensrud, S. Weiss, L. Wicker, and D. S. Zaras, 2003: Severe Thunderstorms and Tornadoes. Handbook of Weather, Climate, and Water: Dynamics, Climate, Physical Meteorology, Weather Systems, and Measurements, T. D. Potter and B. R. Colman, Eds., Wiley-Interscience, 575-619.
Brotzge, J.A., and K.C. Crawford, 2003: Examination of the surface energy budget as observed from OASIS (eddy correlation) and ARM (Bowen ratio) measurement systems., J. Hydrometeor., 4, 160-178.
Brotzge, J.A., and S. J. Richardson, 2003: Spatial and temporal correlation among Oklahoma Mesonet and OASIS surface-layer measurements. J. Meteor., 42, 5-19.
Dowell, D. C., and A. Shapiro, 2003: Stability of an iterative dual-Doppler wind synthesis in Cartesian coordinates. J. Atmos. and Oceanic Technol., 20, 1552-1559.
Fiebrich, C.J., Martinez, J. Brotzge, and J. Basara, 2003: The Oklahoma Mesonet's skin temperature network. J. Atmos. Ocean. Tech., 20, 1496-1504.
Shapiro, A., P. Robinson, J. Wurman, and J. Gao, 2003: Single-Doppler velocity retrieval with rapid scan radar data. J. Atmos. and Oceanic Technol., 20, 1758-1775.
Souto, M. J., Balseiro, C. F., Pérez-Muñuzuri, V., Xue, M., Brewster, K. 2003: Impact of Cloud Analysis on Numerical Weather Prediction in the Galician Region of Spain. Journal of Applied Meteorology: Vol. 42, No. 1, pp. 129-140.
Wang, X., and C.H. Bishop, 2003: A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes. J. Atmos. Sci, 60, 1140-1158.
Xue, M., D.-H. Wang, J.-D. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation. Meteor. Atmos. Physics, 82, 139-170.
Adlerman, E.J. and K.K. Droegemeier, 2002: The sensitivity of numerically-simulated cyclic mesocyclogenesis to variations in model physical and computational parameters. Monthly Weather Review: Vol. 130, No. 11, pp. 2671-2691.
Brotzge, J.A., and D. Weber, 2002: Land-surface scheme validation using the Oklahoma Atmospheric Surface-layer Instrumentation Syste (OASIS) and Oklahoma Mesonet data: Preliminary results. Meteor. Atmos. Phys., 80, 189-206.
Lazarus, Steven M., Ciliberti, Carol M., Horel, John D., Brewster, Keith A. 2002: Near-Real-Time Applications of a Mesoscale Analysis System to Complex Terrain. Weather and Forecasting: Vol. 17, No. 5, pp. 971-1000.
Mewes, J. J., and A. Shapiro, 2002: On the use of the vorticity equation in dual-Doppler Analysis of the vertical velocity field. J. Atmos. And Oceanic Technol., 19, 543-567.
Shapiro, A. and K. M. Kanak, 2002: Vortex formation in ellipsoidal bubbles. J. Atmos. Sci., 59, 2253-2269.
Sharif, H. O., F. L. Ogden, W. F. Krajewski, and M. Xue, 2002: Numerical simulations of radar-rainfall error propagation. Water Resources Research, 38, 15-1 to 15-14.
Sridhar, V., R.L. Elliott, F. Chen, and J. Brotzge, 2002: Validation of the NOAH-OSU land surface model using surface flux measurements in Oklahoma. J. Geophys. Res., 107, 4418-4436.
Weygandt, S. S., A. Shapiro and K. K. Droegemeier, 2002: Retrieval of initial forecast Fields from single-Doppler observations of a supercell thunderstorm. Part I Single-Doppler velocity retrieval. Mon. Wea. Rev., 130, 433-453.
Weygandt, S.S., A. Shapiro and K.K. Droegemeier, 2002: Retrieval of initial forecast fields from single-Doppler observations of a supercell thunderstorm. Part II: Thermodynamic retrieval and numerical prediction. Mon. Wea. Rev., 130, 454-476.
Anthes, R., O. Brown, K. Droegemeier, and J. Fellows, 2001: UCAR and NCAR at 40. Bull. Amer. Meteor. Soc., 82, 1139-1149.
Gao, J., M. Xue, A. Shapiro, Q. Xu, and K. K. Droegemeier, 2001: Three-dimensional simple adjoint velocity retrievals from single Doppler radar. J. Atmos. Ocean Tech., 18, 26-38.
Harris, D., E. Foufoula-Georgiou, K.K. Droegemeier, and J. Levit, 2001: Multi-scale statistical properties of a high-resolution precipitation forecast. J. Hydromet., 4, 406-418.
Hou, D., E. Kalnay, and K.K. Droegemeier, 2001: Objective verification of the SAMEX '98 ensemble forecasts. Mon. Wea. Rev., 129, 73-91.
Lazarus, S., A. Shapiro, and K.K. Droegemeier, 2001: Application of the Gal-Chen/Zhang velocity retrieval to a deep convective storm. J. Atmos. Sci., 58, 998-1016.
MacGorman, D.R., J.M. Straka, and C.L. Ziegler, 2001; A lightning parameterization for numerical cloud models. J. Appl. Met. 40, 459-478.
Shapiro, A., 2001: Solid-body-type vortex solutions of the Euler equations. J. Fluid Mech., 444, 99-115.
Shapiro, A., 2001: A centrifugal wave solution of the Euler and Navier-Stokes Equations. J. Appl. Math. Phys. (ZAMP), 52, 913-923.
Shapiro, A., 2001: Flow of an inviscid rotating liquid into an elevated sink. Quart. J. Mech. Appl. Math., 54, 243-256.
Xue, M., and S.-J. Lin, 2001: Numerical equivalence of advection in flux and advective forms and quadratically conservative high-order advection schemes. Mon. Wea. Rev., 129, 561-565.
Brotzge, J.A., and K.C. Crawford, 2000: Estimating sensible heat flux from the Oklahoma Mesonet. J. App;. Meteor., 39, 102-116.
Brotzge, J.A., and C.E. Duchon, 2000: A field comparison among a domeless net radiometer, two 4-component ned radiometers, and a domed net radiometer. J. Atmos. Ocean. Tech., 17, 1569-1582.
Doyle, J.D., D. R. Durran, B.A. Colle, C. Chen, M. Georgelin, V. Grubisic, W.R. Hsu, C.Y. Huang, D. Landau, Y.L. Lin, G.S. Poulos, W.Y. Sun, D.B. Weber, M.G. Wurtele, and M. Xue, 2000: An intercomparison of model-predicted wave breaking for the 11 January 1972 Boulder windstorm. Mon. Wea. Rev., 128, 901-914.
Droegemeier, K.K. and Co-authors, 2000: Hydrological aspects of weather prediction and flood warnings: Report of the Ninth Prospectus Development Team of the U.S. Weather Research Program. Bull. Amer. Meteor. Soc., 81, 2665-2680.
Foufoula-Georgiou, E., J. Zepeda-Arce, and K.K. Droegemeier, 2000: Space-time rainfall organization and its role in validating quantitative precipitation forecasts. J. Geophys. Res., 105, 10129-10146.
Kalnay E., S. Park, Z. Pu and J. Gao, 2000: Application of the quasi-inverse method to accelerate 4-D VAR. Mon. Wea. Rev., 128, 864-875.
Park, S.-K. and K.K. Droegemeier, 2000: Sensitivity analysis of a 3-D convective storm: Implications for variational data assimilation and forecast error. Mon. Wea. Rev., 128, 140-159.
Rasmussen, E.N., S. Richardson, J.M. Straka, P.M. Markowski, and D.O. Blanchard, 2000: The association of significant tornadoes with a baroclinic boundary on 2 June 1995. Mon. Wea. Rev., 128, 174-191.
Straka, J.M., D. S. Zrnic, and A. V. Ryzhkov, 2000; Bulk hydrometeor classification and quantification using multi-parameter radar data. Synthesis of relations. J. Applied Meteor. , 39, 1341-1372.
Ware, R.H., D.W. Fulker, S.A. Stein, D.N. Anderson, S.K. Avery, R.D. Clark, K.K. Droegemeier, J.P. Kuettner, J. Minster, and S. Sorooshian, 2000: Real-time national GPS networks: Opportunities for atmospheric sensing. Earth Planets Space, 52, 901-905.
Ware, R.H., D.W. Fulker, S.A. Stein, D.N. Anderson, S.K. Avery, R.D. Clark, K.K. Droegemeier, J.P. Kuettner, J.B. Minster, and S. Sorooshian, 2000: SuomiNet: A real-time national GPS network for atmospheric research and education. Bull. Amer. Meteor. Soc., 84, 677-694.
Xue, M., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS) - A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification. Meteor. Atmos. Phys., 75, 161.
Adlerman, E.J., K.K. Droegemeier, and R-P. Davies-Jones 1999: Numerical simulation of cyclic mesocyclogenesis. J. Atmos. Sci., 56, 2045-2069.
Gao, J., M. Xue, A. Shapiro, and K. K. Droegemeier, 1999: A variational method for the retrieval of three-dimensional mesoscale wind fields from two Doppler radars. Mon. Wea. Rev., 127, 2128-2142.
Lazarus, S., A. Shapiro, and K.K. Droegemeier, 1999: Analysis of the Gal-Chen/Zhang single-Doppler velocity retrieval. J. Atmos. and Oceanic Tech., 16, 5-18.
Markowski, P.M., and J.M. Straka, 1999: Some observations of rotating updrafts in a low-buoyancy, highly sheared environment. Mon. Wea. Rev., 128, 449-461.
Park, S.K., and K.K. Droegemeier, 1999: Sensitivity analysis of a moist 1-D Eulerian cloud model using automatic differentiation. Mon. Wea. Rev., 127, 2180-2196.
Park, S.K., 1999: Nonlinearity and predictability of convective rainfall associated with water vapor perturbations in a numerically simulated storm. J. Geophys. Res., 104, 31575-31588.
Rao, P.A., H.E. Fuelberg, and K.K. Droegemeier, 1999: High resolution modeling of the Cape Canaveral area land/water circulations and associated features. Mon. Wea. Rev., 56, 1808-1821.
Shapiro, A. and P. Markowski, 1999: Dynamics of elevated vortices. J. Atmos. Sci., 56, 1101-1122.
Vivekanandan, J., D.S. Zrnic, S.M. Ellis, D. Oye, A.V. Ryzhkov, and J.M. Straka, 1999: Cloud Physics Retrieval Using S-band Dual-Polarization Radar Measurements. Bull. Amer. Meteor. Soc. 80, 381-388.
Xu, Q., and J. Gao, 1999: Generalized adjoint for physical processes with parameterized discontinuities: Minimization problems in multidimensional space. J. Atmos. Sci., 56, 994-1002.
Carpenter, R.L. Jr., K.K. Droegemeier, and A.M. Blyth, 1998a: Entrainment and detrainment in numerically simulated cumulus congestus clouds, Part I: General results and comparison with observations. J. Atmos. Sci, 55, 3417-3432.
Carpenter, R.L. Jr., K.K. Droegemeier, and A.M. Blyth, 1998b: Entrainment and detrainment in numerically simulated cumulus congestus clouds, Part II: Cloud budgets. J. Atmos. Sci, 55, 3433-3439.
Carpenter, R.L. Jr., K.K. Droegemeier, and A.M. Blyth, 1998c: Entrainment and detrainment in numerically simulated cumulus congestus clouds, Part III: Detailed parcel analyses and conceptual model. J. Atmos. Sci, 55, 3440-3455.
Lilly, D.K., G.M. Bassett, K.K. Droegemeier, and P. Bartello, 1998: Stratified turbulence in the atmospheric mesoscales. Theoretical and Comp. Fluid Dyn, 11, 139-153.
Markowski, P.M., E.N. Rasmussen, J.M. Straka, 1998: The occurrence of tornadoes and supercells interacting with boundaries during VORTEX 1995. Wea. and Forecasting. 13, 852-859.
Markowski, P.M., E.N. Rasmussen, J.M. Straka, D.C. Dowell, 1998: Observations of low-level baroclinicity generated by anvil shadows. Mon. Wea. Rev., 126, 2942-2958.
Markowski, P, J.M. Straka, E.N. Rasmussen, and D.O. Blanchard, 1998: Variability of storm-relative helicity during VORTEX. Mon. Wea. Rev., 126, 2959-2971.
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