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Thermal Hydraulic Disaggregation of SMAP Soil Moisture Over the Continental United StatesThermal Hydraulic disaggregation of Soil Moisture (THySM) algorithm was implemented to downscale NASA’s Soil Moisture Active Passive (SMAP) Enhanced soil moisture (SM) product to 1 km over the continental United States (CONUS). This algorithm was developed by combining thermal inertia theory with a soil hydraulic-based approach that considers fine-scale SM spatial distribution driven by both heat fluxes and hydraulic conductivity in soils. Relative soil wetness values were estimated using land surface temperature and normalized difference vegetation index for the thermal inertia model and using soil properties for the hydraulic model. The relative soil wetness values at 1 km from both models were then combined by using weighting functions whereby the spatial distribution of SM was governed more by thermal fluxes during times of strong heat transport and infiltration during moisture abundant soil conditions. THySM values were evaluated using in situ SM measurements from SMAP Core Validation Sites (CVS), the USDA Soil Climate Analysis Network, and the NOAA Climate Reference Network over CONUS. THySM shows higher accuracy than the SMAP / Sentinel-1 (SPL2SMAP_S) 1 km SM product when compared to in situ measurements. The accuracy of THySM is 0.048 m3/m3 based on unbiased root mean square error (ubRMSE), outperforming SPL2SMAP_S by 0.01-0.02 m3/m3. The ubRMSE of THySM 1km SM over the SMAP grassland/rangeland-dominated CVS sites is better than 0.04 m3/m3, which meets the SMAP mission SM accuracy requirement applied at 9 and 36 km.
Document ID
20220005674
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Pang-wei Liu
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Rajat Bindlish
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Peggy O'Neill
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Venkat Lakshmi
(University of Virginia Charlottesville, Virginia, United States)
Zhengwei Yang
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
Michael H Cosh
(Agricultural Research Service Washington D.C., District of Columbia, United States)
Tara Bongiovanni
(The University of Texas at Austin Austin, Texas, United States)
Chandra Holifield Collins
(Southwest Watershed Research Center Tucson, AZ, USA)
Patrick J. Starks
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
John Prueger
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
David D. Bosch ORCID
(Agricultural Research Service Washington D.C., District of Columbia, United States)
Mark Seyfried
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
Mark R. Williams
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
Date Acquired
April 13, 2022
Publication Date
April 7, 2022
Publication Information
Publication: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publisher: IEEE
Volume: 15
Issue Publication Date: January 1, 2022
ISSN: 1939-1404
e-ISSN: 2151-1535
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 389018.02.19.01.01
PROJECT: 372217.04.11
CONTRACT_GRANT: 80GSFC20C0044
CONTRACT_GRANT: J-090028
CONTRACT_GRANT: 80NSSC21D0002
CONTRACT_GRANT: NNG19OB13A
CONTRACT_GRANT: NNG19OB13A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
SMAP
Microwave remote sensing
Soil moisture
Agriculture
Hydrology
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