High-resolution (1&thinsp;km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study

Filippucci, Paolo; Brocca, Luca; Quast, Raphael; Ciabatta, Luca; Saltalippi, Carla; Wagner, Wolfgang; Tarpanelli, Angelica

doi:https://doi.org/10.5194/hess-26-2481-2022

Articles | Volume 26, issue 9

https://doi.org/10.5194/hess-26-2481-2022

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

https://doi.org/10.5194/hess-26-2481-2022

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

Articles | Volume 26, issue 9

Research article

|

12 May 2022

Research article |

| 12 May 2022

High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study

Paolo Filippucci, Luca Brocca, Raphael Quast, Luca Ciabatta, Carla Saltalippi, Wolfgang Wagner, and Angelica Tarpanelli

Data sets

High resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River Basin as case study P. Filippucci, L. Brocca, R. Quast, L. Ciabatta, C. Saltalippi, W. Wagner, and A. Tarpanelli https://doi.org/10.5281/zenodo.6530709

Model code and software

IRPIhydrology/sm2rain: SM2RAIN (v0.0.1) S. Hahn https://doi.org/10.5281/zenodo.2203559

Short summary

A high-resolution (1 km) rainfall product with 10–30 d temporal resolution was obtained starting from SM data from Sentinel-1. Good performances are achieved using observed data (gauge and radar) over the Po River Valley, Italy, as a benchmark. The comparison with a product characterized by lower spatial resolution (25 km) highlights areas where the high spatial resolution of Sentinel-1 has great benefits. Possible applications include water management, agriculture and index-based insurances.