Articles | Volume 24, issue 2
https://doi.org/10.5194/hess-24-615-2020
https://doi.org/10.5194/hess-24-615-2020
Research article
 | 
13 Feb 2020
Research article |  | 13 Feb 2020

Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data

Yixin Mao, Wade T. Crow, and Bart Nijssen

Viewed

Total article views: 3,131 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,250 818 63 3,131 314 64 69
  • HTML: 2,250
  • PDF: 818
  • XML: 63
  • Total: 3,131
  • Supplement: 314
  • BibTeX: 64
  • EndNote: 69
Views and downloads (calculated since 04 Mar 2019)
Cumulative views and downloads (calculated since 04 Mar 2019)

Viewed (geographical distribution)

Total article views: 3,131 (including HTML, PDF, and XML) Thereof 2,737 with geography defined and 394 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
The new generation of satellite soil moisture observations are used to correct the streamflow in a regional-scale river basin simulated by a mathematical model. The correction is done via both the direct updating of soil moisture and correction of rainfall input. Results show some streamflow improvement, but the magnitude is small. A larger improvement will need future generations of even higher-quality satellite soil moisture data and better process representation in the mathematical model.