Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 1
Articles | Volume 29, issue 1
https://doi.org/10.5194/hess-29-215-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-215-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 1
Research article
 | 
15 Jan 2025
Research article |  | 15 Jan 2025

Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics

Aruna Kumar Nayak, Xiaoyong Xu, Steven K. Frey, Omar Khader, Andre R. Erler, David R. Lapen, Hazen A. J. Russell, and Edward A. Sudicky

Viewed

Total article views: 1,354 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,032 265 57 1,354 71 60
  • HTML: 1,032
  • PDF: 265
  • XML: 57
  • Total: 1,354
  • BibTeX: 71
  • EndNote: 60
Views and downloads (calculated since 15 Jan 2024)
Cumulative views and downloads (calculated since 15 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,354 (including HTML, PDF, and XML) Thereof 1,308 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Jun 2025
Download
Short summary
Satellite remote sensing only measures the near-surface soil water content. We demonstrate that satellite-based near-surface soil water variability is a strong reflection of deeper subsurface water fluctuation and quantifies the response time differences between dynamics of satellite near-surface soil water and water in the deeper subsurface. Result support the use of satellite near-surface soil water measurements as indicators and/or predictors of water resources in  the deeper subsurface.
Read more
Share