Second International Conference on Opportunistic Sensing of Precipitation - OpenSense 2026

Session

Oral session #5 @ Buys Ballotzaal

Jun 24, 2026, 1:45 PM

Building A (Royal Netherlands Meteorological Institute)

Conveners

Oral session #5 @ Buys Ballotzaal: OS data merging

• Maximilian Graf (Deutscher Wetterdienst)

18. Assessing the consistency of ERA5 soil moisture with rainfall estimates from rain gauges and commercial microwave links

Smit Chetan Doshi (Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI))

6/24/26, 1:45 PM

OS data merging

Rainfall is one of the significant meteorological variables governing soil moisture variability. Rain gauges (RGs) provide reliable point measurements of rainfall but suffer from limited spatial coverage, whereas commercial microwave links (CMLs) offer accurate spatially integrated rainfall information, when they have been calibrated to correct the bias produced by Wet Antenna Attenuation...

39. CML rainfall field reconstruction with GenAI and a combination with geostationary satellite data

Selina Janner (KIT/IMK-IFU)

6/24/26, 2:00 PM

OS data merging

Commercial Microwave Links (CMLs) provide path-integrated rainfall estimates, but their irregular geometry poses a substantial challenge for deriving gridded rainfall maps.

In this contribution, we propose a generative AI approach for reconstructing rainfall fields from CML-derived rainfall estimates. The central idea is to learn characteristic precipitation structures from reference radar...