TY - JOUR
T1 - An observation system simulation experiment for the impact of land surface heterogeneity on AMSR-E soil moisture retrieval
AU - Crow, Wade T.
AU - Drusch, Matthias
AU - Wood, Eric F.
N1 - Funding Information:
Manuscript received October 1, 2000; revised April 20, 2001. This work was supported by NASA Grants NAG8–1517 and NAG5–6494 and NOAA Grant NA96GP0413. W. T. Crow and E.F. Wood are with the Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544 USA (e-mail: [email protected]). M. Drusch is with the Meteorological Institute, Bonn University, Bonn, Germany. Publisher Item Identifier S 0196-2892(01)06678-5.
PY - 2001/9
Y1 - 2001/9
N2 - Using a high-resolution hydrologic model, a land surface microwave emission model (LSMEM), and an explicit simulation of the orbital and scanning characteristics for the advanced microwave sensing radiometer (AMSR-E), an observing system simulation experiment (OSSE) is carded out to assess the impact of land surface heterogeneity on large-scale retrieval and validation of soil moisture products over the U.S. Southern Great Plains using the 6.925 GHz channel on the AMSR-E sensor. Land surface heterogeneity impacts soil moisture products through the presence of nonlinearities in processes represented by the LSMEM, as well as the fundamental inconsistency in spatial scale between gridded soil moisture imagery derived from in situ point-scale sampling, numerical modelling, and microwave remote sensing sources. Results within the 575000 km2 Red-Arkansas River basin show that, for surfaces with vegetation water contents below 0.75 kg/m2, these two scale effects induce root mean squared errors (RMSEs) of 1.7% volumetric (0.017 cmwater3/cmsoil3) into daily 60 km AMSR-E soil moisture products and RMS differences of 3.0% (0.030 cmwater3/cmsoil3) into 60 km comparisons of AMSR-E soil moisture products and in situ field-scale measurements of soil moisture sampled on a fixed 25-km grid.
AB - Using a high-resolution hydrologic model, a land surface microwave emission model (LSMEM), and an explicit simulation of the orbital and scanning characteristics for the advanced microwave sensing radiometer (AMSR-E), an observing system simulation experiment (OSSE) is carded out to assess the impact of land surface heterogeneity on large-scale retrieval and validation of soil moisture products over the U.S. Southern Great Plains using the 6.925 GHz channel on the AMSR-E sensor. Land surface heterogeneity impacts soil moisture products through the presence of nonlinearities in processes represented by the LSMEM, as well as the fundamental inconsistency in spatial scale between gridded soil moisture imagery derived from in situ point-scale sampling, numerical modelling, and microwave remote sensing sources. Results within the 575000 km2 Red-Arkansas River basin show that, for surfaces with vegetation water contents below 0.75 kg/m2, these two scale effects induce root mean squared errors (RMSEs) of 1.7% volumetric (0.017 cmwater3/cmsoil3) into daily 60 km AMSR-E soil moisture products and RMS differences of 3.0% (0.030 cmwater3/cmsoil3) into 60 km comparisons of AMSR-E soil moisture products and in situ field-scale measurements of soil moisture sampled on a fixed 25-km grid.
KW - Antenna gain function
KW - Hydrological modelling
KW - Passive microwave remote sensing
KW - Soil moisture
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U2 - 10.1109/36.942540
DO - 10.1109/36.942540
M3 - Article
AN - SCOPUS:0035444720
SN - 0196-2892
VL - 39
SP - 1622
EP - 1631
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 8
ER -