Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modeling approach

Kim, Hyunglok; Crow, Wade T.

doi:10.1016/j.scitotenv.2023.168067

Title: Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modeling approach

Journal Article · 01 January 2024 · Science of the Total Environment

DOI: https://doi.org/10.1016/j.scitotenv.2023.168067 · OSTI ID:2369723

Kim, Hyunglok; Crow, Wade T.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: NONE; SC0014664

OSTI ID:: 2369723

Journal Information:: Science of the Total Environment, Journal Name: Science of the Total Environment Journal Issue: C Vol. 908; ISSN 0048-9697

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

References (17)

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The Error Structure of the SMAP Single and Dual Channel Soil Moisture Retrievals Dong, Jianzhi; Crow, Wade T.; Bindlish, Rajat Geophysical Research Letters, Vol. 45, Issue 2 https://doi.org/10.1002/2017GL075656	journal	January 2018
Large-Scale Controls of the Surface Water Balance Over Land: Insights From a Systematic Review and Meta-Analysis: REVIEW OF SURFACE WATER BALANCE CONTROLS Padrón, Ryan S.; Gudmundsson, Lukas; Greve, Peter Water Resources Research, Vol. 53, Issue 11 https://doi.org/10.1002/2017WR021215	journal	November 2017
Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation Akbar, Ruzbeh; Short Gianotti, Daniel; McColl, Kaighin A. Water Resources Research, Vol. 54, Issue 3 https://doi.org/10.1002/2017WR021508	journal	March 2018
Performance assessment of SM2RAIN-NWF using ASCAT soil moisture via supervised land cover-soil-climate classification Saeedi, Mohammad; Nabaei, Sina; Kim, Hyunglok Remote Sensing of Environment, Vol. 285 https://doi.org/10.1016/j.rse.2022.113393	journal	February 2023
A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products Kim, Hyunglok; Crow, Wade T.; Wagner, Wolfgang Remote Sensing of Environment, Vol. 296 https://doi.org/10.1016/j.rse.2023.113718	journal	October 2023
True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis Kim, Hyunglok; Crow, Wade; Li, Xiaojun Remote Sensing of Environment, Vol. 298 https://doi.org/10.1016/j.rse.2023.113776	journal	December 2023
Use of Cyclone Global Navigation Satellite System (CyGNSS) Observations for Estimation of Soil Moisture Kim, Hyunglok; Lakshmi, Venkat Geophysical Research Letters, Vol. 45, Issue 16 https://doi.org/10.1029/2018GL078923	journal	August 2018
Estimating Basin‐Scale Water Budgets With SMAP Soil Moisture Data Koster, Randal D.; Crow, Wade T.; Reichle, Rolf H. Water Resources Research, Vol. 54, Issue 7 https://doi.org/10.1029/2018WR022669	journal	July 2018
A Unified Data‐Driven Method to Derive Hydrologic Dynamics From Global SMAP Surface Soil Moisture and GPM Precipitation Data Mao, Yixin; Crow, Wade T.; Nijssen, Bart Water Resources Research, Vol. 56, Issue 2 https://doi.org/10.1029/2019WR024949	journal	February 2020
Partitioning of Historical Precipitation Into Evaporation and Runoff Based on Hydrologic Dynamics Identified With Recent SMAP Satellite Measurements Akbar, Ruzbeh; Short Gianotti, Daniel J.; Salvucci, Guido D. Water Resources Research, Vol. 56, Issue 12 https://doi.org/10.1029/2020WR027307	journal	December 2020
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant to Plant Water Uptake Feldman, Andrew F.; Short Gianotti, Daniel J.; Dong, Jianzhi Water Resources Research, Vol. 59, Issue 2 https://doi.org/10.1029/2022WR033814	journal	February 2023
The global distribution and dynamics of surface soil moisture McColl, Kaighin A.; Alemohammad, Seyed Hamed; Akbar, Ruzbeh Nature Geoscience, Vol. 10, Issue 2 https://doi.org/10.1038/ngeo2868	journal	January 2017
Variational Inference: A Review for Statisticians Blei, David M.; Kucukelbir, Alp; McAuliffe, Jon D. Journal of the American Statistical Association, Vol. 112, Issue 518 https://doi.org/10.1080/01621459.2017.1285773	journal	July 2016
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The Soil Moisture Active Passive (SMAP) Mission Entekhabi, Dara; Njoku, Eni G.; O'Neill, Peggy E. Proceedings of the IEEE, Vol. 98, Issue 5 https://doi.org/10.1109/JPROC.2010.2043918	journal	May 2010
SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations Brocca, Luca; Filippucci, Paolo; Hahn, Sebastian Earth System Science Data, Vol. 11, Issue 4 https://doi.org/10.5194/essd-11-1583-2019	journal	January 2019

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