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

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

doi:https://doi.org/10.5194/gmd-15-6935-2022

Articles | Volume 15, issue 18

https://doi.org/10.5194/gmd-15-6935-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-6935-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 18

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

Model code and software

STREAM (SaTellite based Runoff Evaluation And Mapping) code Stefania Camici https://doi.org/10.5281/zenodo.4744984

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.