GSTDTAP  > 资源环境科学
DOI10.1002/2016WR019967
Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model
Cai, Xitian1; Pan, Ming1; Chaney, Nathaniel W.2; Colliander, Andreas3; Misra, Sidharth3; Cosh, Michael H.4; Crow, Wade T.4; Jackson, Thomas J.4; Wood, Eric F.1
2017-04-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2017
卷号53期号:4
文章类型Article
语种英语
国家USA
英文摘要

Accurate global mapping of soil moisture is the goal of the Soil Moisture Active Passive (SMAP) mission, which is expected to improve the estimation of water, energy, and carbon exchanges between the land and the atmosphere. Like other satellite products, the SMAP soil moisture retrievals need to be validated, with the validation relying heavily on in situ measurements. However, a one-to-one comparison is ill advised due to the spatial mismatch of the large SMAP footprint (similar to 40 km) and the point scale in situ measurements. This study uses a recently developed hyper-resolution land surface model-HydroBlocks-as a tool to upscale in situ soil moisture measurements for the SMAPVEX15 (SMAP Validation Experiment 2015) field campaign during 2-18 August 2015. Calibrated against in situ observation, HydroBlocks shows a satisfactory Kling-Gupta efficiency (KGE) of 0.817 and RMSE of 0.019 m(3)/m(3) for the calibration period. These results indicate that HydroBlocks can be used to upscale in situ measurements for this site. Different from previous studies, here in situ measurements are upscaled using a land surface model without bias correction. The upscaled soil moisture is then used to evaluate SMAP (passive) soil moisture products. The comparison of the upscaled network to SMAP shows that the retrievals are generally able to capture the areal-averaged soil moisture temporal variations. However, SMAP appears to be oversensitive to summer precipitation. We expect these findings can be used to improve the SMAP soil moisture product and thus facilitate its usage in studying the water, energy, and carbon cycles.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000403682600029
WOS关键词LAND-SURFACE MODEL ; OCEAN SALINITY ; PRECIPITATION ; SYSTEM ; SENSOR
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/20139
专题资源环境科学
作者单位1.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA;
2.Princeton Univ, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA;
3.CALTECH, Jet Prop Lab, Pasadena, CA USA;
4.USDA ARS, Hydrol & Remote Sensing Lab, Beltsville, MD USA
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GB/T 7714
Cai, Xitian,Pan, Ming,Chaney, Nathaniel W.,et al. Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model[J]. WATER RESOURCES RESEARCH,2017,53(4).
APA Cai, Xitian.,Pan, Ming.,Chaney, Nathaniel W..,Colliander, Andreas.,Misra, Sidharth.,...&Wood, Eric F..(2017).Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model.WATER RESOURCES RESEARCH,53(4).
MLA Cai, Xitian,et al."Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model".WATER RESOURCES RESEARCH 53.4(2017).
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