Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 8
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.
Special issue:
https://doi.org/10.5194/hess-26-2221-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 8
Research article
 | 
29 Apr 2022
Research article |  | 29 Apr 2022

Soil moisture estimation in South Asia via assimilation of SMAP retrievals

Jawairia A. Ahmad, Barton A. Forman, and Sujay V. Kumar

Viewed

Total article views: 4,573 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,376 1,097 100 4,573 162 133 137
  • HTML: 3,376
  • PDF: 1,097
  • XML: 100
  • Total: 4,573
  • Supplement: 162
  • BibTeX: 133
  • EndNote: 137
Views and downloads (calculated since 08 Sep 2021)
Cumulative views and downloads (calculated since 08 Sep 2021)

Viewed (geographical distribution)

Total article views: 4,573 (including HTML, PDF, and XML) Thereof 4,388 with geography defined and 185 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Jan 2026
Download
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.
Read more
Share
Special issue
Microwave remote sensing for improved understanding of vegetation–water...