Second International Conference on Opportunistic Sensing of Precipitation - OpenSense 2026

Session

Oral session #2

Jun 23, 2026, 2:00 PM

Building A (Royal Netherlands Meteorological Institute)

28. Using personal weather station data for weather radar adjustment

Maximilian Graf (Deutscher Wetterdienst)

6/23/26, 2:00 PM

Application of OS rainfall data

Merged weather radar and rain‑gauge products provide the state‑of‑the‑art quantitative precipitation estimation (QPE) from national meteorological services for many hydrometeorological applications. They combine the high spatio‑temporal coverage of weather radar with the point‑scale accuracy of rain gauges to mitigate each instrument’s specific uncertainties, namely the indirect measurement...

26. Standalone vs combined PWS rainfall inputs for semi-distributed flood modelling

Ranka Kovačević (University in Belgrade, Faculty of Forestry)

6/23/26, 2:15 PM

Application of OS rainfall data

Semi-distributed flood modelling requires an accurate representation of the spatial and temporal variability of rainfall. However, official rain-gauge networks often have limited spatial density and may fail to capture intense and localized rainfall events. Opportunistic rainfall sensors, such as personal weather stations (PWS), offer the potential to complement and enhance the spatial...

25. Quantifying spatial rainfall variability using a high-density rain gauge network of personal weather stations

Nathalie Rombeek (Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Water Management)

6/23/26, 2:30 PM

Application of OS rainfall data

Accurate rainfall observations are key for several applications, such as nowcasting and hydrological forecasting. However, rainfall is highly variable in both space and time, resulting in significant uncertainties in areal rainfall products. Estimates of this spatial and temporal variability are needed for spatial interpolation and merging of rainfall products. Traditional rain gauge networks...

29. Detection of convective cold pools using data from personal weather stations

Jochen Seidel (Institut für Wasser- und Umweltsystemmodellierung, Universität Stuttgart), Maximilian Graf (Deutscher Wetterdienst)

6/23/26, 2:45 PM

Application of OS rainfall data

Small-scale convective storms are difficult to capture with conventional rain‑gauge networks because of limited spatial coverage. Weather radar provides spatially continuous observations but measures aloft with an intrinsic time lag relative to surface observations and carries uncertainties from the indirect measurement principle. For near‑real‑time rainfall analyses and climatological...