Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-4403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Sep 2017
Research article |
| 07 Sep 2017
Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS
Kenneth J. Tobin
CORRESPONDING AUTHOR
Texas A&M International University, Center for Earth and
Environmental Studies, Laredo, TX, USA
Roberto Torres
Texas A&M International University, Center for Earth and
Environmental Studies, Laredo, TX, USA
Wade T. Crow
United States Department of Agriculture, Agricultural Research
Service Hydrology and Remote Sensing Laboratory, Beltsville, MD,
USA
Marvin E. Bennett
Texas A&M International University, Center for Earth and
Environmental Studies, Laredo, TX, USA
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Cited
28 citations as recorded by crossref.
- High-Resolution SMAP-Derived Root-Zone Soil Moisture Using an Exponential Filter Model Calibrated per Land Cover Type V. Stefan et al. 10.3390/rs13061112
- Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China J. Tian & Y. Zhang 10.1080/17538947.2023.2261902
- Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information S. Helgert & S. Khodayar 10.1016/j.rse.2020.111812
- Estimating Regional Soil Moisture Distribution Based on NDVI and Land Surface Temperature Time Series Data in the Upstream of the Heihe River Watershed, Northwest China X. Bai et al. 10.3390/rs12152414
- Improving modelled streamflow using time-varying multivariate assimilation of remotely sensed soil moisture and in-situ streamflow observations R. Visweshwaran et al. 10.1016/j.advwatres.2024.104676
- Predicting Rapid Changes in Evaporative Stress Index (ESI) and Soil Moisture Anomalies over the Continental United States. D. Lorenz et al. 10.1175/JHM-D-20-0289.1
- Remote sensing and global databases for soil moisture estimation at different depths in the Pernambuco state, Northeast Brazil M. Jucá & A. Ribeiro Neto 10.1590/2318-0331.272220220016
- Predicting root zone soil moisture using observations at 2121 sites across China J. Tian et al. 10.1016/j.scitotenv.2022.157425
- WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu 10.5194/gmd-12-5267-2019
- Unraveling the Relationship Between Tropical Storms and Agricultural Drought J. Song et al. 10.1029/2021EF002417
- Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas J. Tian et al. 10.5194/hess-24-4659-2020
- Satellite-Based Assessment of Meteorological and Agricultural Drought in Mainland Southeast Asia Y. Li et al. 10.1109/JSTARS.2022.3190438
- Retrieval of Subsurface Soil Moisture and Vegetation Water Content From Multifrequency SoOp Reflectometry: Sensitivity Analysis S. Kim et al. 10.1109/TGRS.2023.3284800
- Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations M. Pablos et al. 10.3390/rs10070981
- Performance evaluation of soil moisture profile estimation through entropy-based and exponential filter models V. Mishra et al. 10.1080/02626667.2020.1730846
- Sensitivity of U.S. Drought Prediction Skill to Land Initial States C. Shin et al. 10.1175/JHM-D-20-0025.1
- Multi-layer high-resolution soil moisture estimation using machine learning over the United States L. Karthikeyan & A. Mishra 10.1016/j.rse.2021.112706
- Assessment of SMADI and SWDI agricultural drought indices using remotely sensed root zone soil moisture M. Pablos et al. 10.5194/piahs-380-55-2018
- Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. 10.1029/2021WR031092
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Potential Reemergence of Seasonal Soil Moisture Anomalies in North America S. Kumar et al. 10.1175/JCLI-D-18-0540.1
- Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets S. Dangol et al. 10.3390/rs15092417
- A Review of Root Zone Soil Moisture Estimation Methods Based on Remote Sensing M. Li et al. 10.3390/rs15225361
- Validation of a New Root-Zone Soil Moisture Product: Soil MERGE K. Tobin et al. 10.1109/JSTARS.2019.2930946
- Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
- Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors H. Nguyen et al. 10.1016/j.jhydrol.2019.02.018
- An Exponential Filter Model-Based Root-Zone Soil Moisture Estimation Methodology from Multiple Datasets Y. Yang et al. 10.3390/rs14081785
- Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations A. Pasik et al. 10.5194/gmd-16-4957-2023
28 citations as recorded by crossref.
- High-Resolution SMAP-Derived Root-Zone Soil Moisture Using an Exponential Filter Model Calibrated per Land Cover Type V. Stefan et al. 10.3390/rs13061112
- Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China J. Tian & Y. Zhang 10.1080/17538947.2023.2261902
- Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information S. Helgert & S. Khodayar 10.1016/j.rse.2020.111812
- Estimating Regional Soil Moisture Distribution Based on NDVI and Land Surface Temperature Time Series Data in the Upstream of the Heihe River Watershed, Northwest China X. Bai et al. 10.3390/rs12152414
- Improving modelled streamflow using time-varying multivariate assimilation of remotely sensed soil moisture and in-situ streamflow observations R. Visweshwaran et al. 10.1016/j.advwatres.2024.104676
- Predicting Rapid Changes in Evaporative Stress Index (ESI) and Soil Moisture Anomalies over the Continental United States. D. Lorenz et al. 10.1175/JHM-D-20-0289.1
- Remote sensing and global databases for soil moisture estimation at different depths in the Pernambuco state, Northeast Brazil M. Jucá & A. Ribeiro Neto 10.1590/2318-0331.272220220016
- Predicting root zone soil moisture using observations at 2121 sites across China J. Tian et al. 10.1016/j.scitotenv.2022.157425
- WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu 10.5194/gmd-12-5267-2019
- Unraveling the Relationship Between Tropical Storms and Agricultural Drought J. Song et al. 10.1029/2021EF002417
- Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas J. Tian et al. 10.5194/hess-24-4659-2020
- Satellite-Based Assessment of Meteorological and Agricultural Drought in Mainland Southeast Asia Y. Li et al. 10.1109/JSTARS.2022.3190438
- Retrieval of Subsurface Soil Moisture and Vegetation Water Content From Multifrequency SoOp Reflectometry: Sensitivity Analysis S. Kim et al. 10.1109/TGRS.2023.3284800
- Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations M. Pablos et al. 10.3390/rs10070981
- Performance evaluation of soil moisture profile estimation through entropy-based and exponential filter models V. Mishra et al. 10.1080/02626667.2020.1730846
- Sensitivity of U.S. Drought Prediction Skill to Land Initial States C. Shin et al. 10.1175/JHM-D-20-0025.1
- Multi-layer high-resolution soil moisture estimation using machine learning over the United States L. Karthikeyan & A. Mishra 10.1016/j.rse.2021.112706
- Assessment of SMADI and SWDI agricultural drought indices using remotely sensed root zone soil moisture M. Pablos et al. 10.5194/piahs-380-55-2018
- Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. 10.1029/2021WR031092
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Potential Reemergence of Seasonal Soil Moisture Anomalies in North America S. Kumar et al. 10.1175/JCLI-D-18-0540.1
- Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets S. Dangol et al. 10.3390/rs15092417
- A Review of Root Zone Soil Moisture Estimation Methods Based on Remote Sensing M. Li et al. 10.3390/rs15225361
- Validation of a New Root-Zone Soil Moisture Product: Soil MERGE K. Tobin et al. 10.1109/JSTARS.2019.2930946
- Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
- Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors H. Nguyen et al. 10.1016/j.jhydrol.2019.02.018
- An Exponential Filter Model-Based Root-Zone Soil Moisture Estimation Methodology from Multiple Datasets Y. Yang et al. 10.3390/rs14081785
- Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations A. Pasik et al. 10.5194/gmd-16-4957-2023
Latest update: 22 Apr 2024
Short summary
This study applied the exponential filter to produce an estimate of root-zone soil moisture at 20 to 25 cm depths. Four types of microwave, surface satellite soil moisture were used. The study focused on the continental United States, and in situ data were used from the International Soil Moisture Network for comparison. This study spans almost two decades (1997 to 2014). Root mean square error was close to 0.04, which is the baseline value for accuracy designated for many satellite missions.
This study applied the exponential filter to produce an estimate of root-zone soil moisture at...
