Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-2221-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2221-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Apr 2022
Research article |
| 29 Apr 2022
| 29 Apr 2022
Soil moisture estimation in South Asia via assimilation of SMAP retrievals
Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA
Barton A. Forman
Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA
Sujay V. Kumar
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
18 citations as recorded by crossref.
- Diverging Trends in Rain‐On‐Snow Over High Mountain Asia F. Maina & S. Kumar https://doi.org/10.1029/2022EF003009
- Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) A. Chakraborty et al. https://doi.org/10.1016/j.jhydrol.2024.131581
- Influence of SMAP soil moisture retrieval assimilation on runoff estimation across South Asia J. Ahmad et al. https://doi.org/10.1016/j.jhydrol.2024.131550
- An Examination of the SMAP Operational Soil Moisture Products Accuracy at the Tibetan Plateau K. Deng et al. https://doi.org/10.3390/rs14246255
- Joint assimilation of satellite soil moisture and vegetation conditions improves estimates of gross primary production and evapotranspiration over South Asia A. Chakraborty & M. Saharia https://doi.org/10.1016/j.agrformet.2025.110765
- Using solar radiation data in soil moisture diagnostic equation for estimating root-zone soil moisture O. Omotere et al. https://doi.org/10.7717/peerj.14561
- Sensitivity of Soil Moisture Simulations to Noah-MP Parameterization Schemes in a Semi-Arid Inland River Basin, China Y. You et al. https://doi.org/10.3390/agriculture15212286
- 青藏高原东北部高寒山区土壤水文属性数据和土壤水定位观测网 杰. 田 et al. https://doi.org/10.1360/N072022-0336
- Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques H. P et al. https://doi.org/10.1016/j.scitotenv.2025.180503
- Advances in remote sensing techniques for surface soil moisture estimation: A systematic review of recent developments (2019–2024) M. Rawat et al. https://doi.org/10.1016/j.compag.2026.111983
- In situ observations of soil hydraulic properties and soil moisture in a high, cold mountainous area of the northeastern Qinghai-Tibet Plateau J. Tian et al. https://doi.org/10.1007/s11430-022-1120-5
- Coupling data assimilation and machine learning to improve land surface conditions and near-surface temperature and humidity forecasts X. He et al. https://doi.org/10.1016/j.agrformet.2026.111063
- Land data assimilation of satellite‐based surface soil moisture: Impact on atmospheric simulations over the contiguous United States Z. Heyvaert et al. https://doi.org/10.1002/qj.70052
- Assessing the influence of climate change on irrigation water requirements for Boro rice in a subtropical region G. Wang et al. https://doi.org/10.2166/wcc.2026.085
- Trends and drivers of ecosystem water use efficiency and carbon uptake modeled across South Asia A. Chakraborty et al. https://doi.org/10.1016/j.agwat.2026.110321
- A 1 km soil moisture dataset over eastern CONUS generated by assimilating SMAP data into the Noah-MP land surface model S. Tai et al. https://doi.org/10.5194/essd-17-4587-2025
- Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. https://doi.org/10.1016/j.srs.2024.100129
- Improvement of soil moisture estimates over the indian domain: an anomaly bias correction approach V. Jose et al. https://doi.org/10.1007/s00704-025-05761-z
18 citations as recorded by crossref.
- Diverging Trends in Rain‐On‐Snow Over High Mountain Asia F. Maina & S. Kumar https://doi.org/10.1029/2022EF003009
- Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) A. Chakraborty et al. https://doi.org/10.1016/j.jhydrol.2024.131581
- Influence of SMAP soil moisture retrieval assimilation on runoff estimation across South Asia J. Ahmad et al. https://doi.org/10.1016/j.jhydrol.2024.131550
- An Examination of the SMAP Operational Soil Moisture Products Accuracy at the Tibetan Plateau K. Deng et al. https://doi.org/10.3390/rs14246255
- Joint assimilation of satellite soil moisture and vegetation conditions improves estimates of gross primary production and evapotranspiration over South Asia A. Chakraborty & M. Saharia https://doi.org/10.1016/j.agrformet.2025.110765
- Using solar radiation data in soil moisture diagnostic equation for estimating root-zone soil moisture O. Omotere et al. https://doi.org/10.7717/peerj.14561
- Sensitivity of Soil Moisture Simulations to Noah-MP Parameterization Schemes in a Semi-Arid Inland River Basin, China Y. You et al. https://doi.org/10.3390/agriculture15212286
- 青藏高原东北部高寒山区土壤水文属性数据和土壤水定位观测网 杰. 田 et al. https://doi.org/10.1360/N072022-0336
- Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques H. P et al. https://doi.org/10.1016/j.scitotenv.2025.180503
- Advances in remote sensing techniques for surface soil moisture estimation: A systematic review of recent developments (2019–2024) M. Rawat et al. https://doi.org/10.1016/j.compag.2026.111983
- In situ observations of soil hydraulic properties and soil moisture in a high, cold mountainous area of the northeastern Qinghai-Tibet Plateau J. Tian et al. https://doi.org/10.1007/s11430-022-1120-5
- Coupling data assimilation and machine learning to improve land surface conditions and near-surface temperature and humidity forecasts X. He et al. https://doi.org/10.1016/j.agrformet.2026.111063
- Land data assimilation of satellite‐based surface soil moisture: Impact on atmospheric simulations over the contiguous United States Z. Heyvaert et al. https://doi.org/10.1002/qj.70052
- Assessing the influence of climate change on irrigation water requirements for Boro rice in a subtropical region G. Wang et al. https://doi.org/10.2166/wcc.2026.085
- Trends and drivers of ecosystem water use efficiency and carbon uptake modeled across South Asia A. Chakraborty et al. https://doi.org/10.1016/j.agwat.2026.110321
- A 1 km soil moisture dataset over eastern CONUS generated by assimilating SMAP data into the Noah-MP land surface model S. Tai et al. https://doi.org/10.5194/essd-17-4587-2025
- Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. https://doi.org/10.1016/j.srs.2024.100129
- Improvement of soil moisture estimates over the indian domain: an anomaly bias correction approach V. Jose et al. https://doi.org/10.1007/s00704-025-05761-z
Saved (final revised paper)
Latest update: 15 Jun 2026
Short summary
Assimilation of remotely sensed data into a land surface model to improve the spatiotemporal estimation of soil moisture across South Asia exhibits potential. Satellite retrieval assimilation corrects biases that are generated due to an unmodeled hydrologic phenomenon, i.e., irrigation. The improvements in fine-scale, modeled soil moisture estimates by assimilating coarse-scale retrievals indicates the utility of the described methodology for data-scarce regions.
Assimilation of remotely sensed data into a land surface model to improve the spatiotemporal...
