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Title:   Author  item
                                            Crow, Wadeitem
                                            RYU, DONGRYEOL - UNIV OF CA, IRVINEitem
                                            FAMIGLIETTI, JAMES - UNIV OF CA, IRVINE
  Submitted to: Advances in Water Resources
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 10/12/2004
                                    Publication  Date: 1/1/2005
                                    Citation: 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.Interpretive Summary: Current and next-generation satellite sensors will be capable of globally mapping surface soil moisture, but only at relatively low spatial resolutions (> 25 km).   Such a low resolution posses a problem for validating these observations since independent ground-based observations of soil moisture are typically limited to sparse point-scale observations which capture very little of the highly spatially variable soil moisture field.  Using data from the 2002 Soil Moisture Experiment (SMEX02) this paper describes a technique for merging local soil moisture information with high-resolution modeling of the land surface to produce accurate estimates of surface soil moisture at coarse spatial resolutions (> 25 km).  Such estimates are of potentially great value for ongoing efforts to develop and optimize spaceborne systems to operationally observe soil moisture.
                                Technical Abstract: Accurate coarse-scale soil moisture information is required for robust validation of current- and next-generation soil moisture products derived from spaceborne radiometers.  Due to large amounts of land surface and rainfall heterogeneity, such information is difficult to obtain from existing ground-based networks of soil moisture sensors.  Using ground-based field data collected during the Soil Moisture Experiment in 2002 (SMEX02), the potential for using distributed modeling predictions of the land surface as an upscaling tool for field-scale soil moisture observations is examined.  Results demonstrate that distributed models are capable of accurately capturing a significant level of field-scale soil moisture heterogeneity observed during SMEX02.  Soil moisture upscaling strategies based on the merger of ground-based observations with modeling predictions are developed and shown to be more accurate during SMEX02 than upscaling approaches that utilize either ground-based observations or model predictions in isolation.


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