Improving weather radar rainfall estimates by merging with commercial microwave link data: a fully reproducible, large-scale method intercomparison

Øydvin, Erlend; Covi, Elia; Graf, Maximilian; Chwala, Christian

doi:10.5194/hess-30-7007-2026

Articles | Volume 30, issue 21

https://doi.org/10.5194/hess-30-7007-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-30-7007-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 30, issue 21

Research article

|

13 Nov 2026

Research article |

| 13 Nov 2026

Improving weather radar rainfall estimates by merging with commercial microwave link data: a fully reproducible, large-scale method intercomparison

Erlend Øydvin, Elia Covi, Maximilian Graf, and Christian Chwala

Data sets

Radar rainfall fields merged with commercial microwave link data for OpenMRG and OpenRainER Erlend Øydvin et al. https://doi.org/10.5281/zenodo.23367571

OpenRainER E. Covi and G. Roversi https://doi.org/10.5281/zenodo.14731404

Model code and software

OpenSenseAction/mergeplg: mergeplg v0.2.0 Erlend Øydvin et al. https://doi.org/10.5281/zenodo.23366659

Software Open Code for: Improving weather radar rainfall estimates by merging with commercial microwave link data: a fully reproducible, large-scale method intercomparison Elia Covi et al. https://doi.org/10.5281/zenodo.23371884

Short summary

We developed an open-source tool to combine weather radar and commercial microwave link data, tested on large, public datasets. Merging these measurements produced more accurate rainfall estimates than radar alone, and we show which methods work best in different situations to support improved rainfall monitoring and applications.