Articles | Volume 15, issue 18
https://doi.org/10.5194/gmd-15-6935-2022
https://doi.org/10.5194/gmd-15-6935-2022
Model description paper
 | 
15 Sep 2022
Model description paper |  | 15 Sep 2022

Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation

Stefania Camici, Gabriele Giuliani, Luca Brocca, Christian Massari, Angelica Tarpanelli, Hassan Hashemi Farahani, Nico Sneeuw, Marco Restano, and Jérôme Benveniste

Viewed

Total article views: 5,794 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,147 1,555 92 5,794 57 67
  • HTML: 4,147
  • PDF: 1,555
  • XML: 92
  • Total: 5,794
  • BibTeX: 57
  • EndNote: 67
Views and downloads (calculated since 25 Jan 2021)
Cumulative views and downloads (calculated since 25 Jan 2021)

Viewed (geographical distribution)

Total article views: 5,794 (including HTML, PDF, and XML) Thereof 5,201 with geography defined and 593 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 May 2024
Download
Short summary
This paper presents an innovative approach, STREAM (SaTellite-based Runoff Evaluation And Mapping), to derive daily river discharge and runoff estimates from satellite observations of soil moisture, precipitation, and terrestrial total water storage anomalies. Potentially useful for multiple operational and scientific applications, the added value of the STREAM approach is the ability to increase knowledge on the natural processes, human activities, and their interactions on the land.