This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong.
P1:Quantitative Precipitation Estimantion(QPE)
Core objectives:
Improvement of PE for liquid, solid, and mixed-phase precipitation, by
- Full expolitation of radar polarimetry
- Improved processing of CML data
- Merging of CML and radar data and exploiting CML for constraining polarimetric QPE algorithms
P2:Quantitative Precipitation Nowcasting(QPN)
Core objectives:
Significantly enhance lead time and skill of advection-based nowcasting via two pathways:
- Extrapolate trends of the cells velocity, shape, intensity and size in time
- Exploit the information of especially polarimetry-based process descriptors on future developments
P3:Quantitative Precipitation Forecasting(QPF)
Core objectives:
Enhanced QPF by assimilating precipitation relevant radar and satellite information:
- Polarimetric moments and radar-derived mixing ratios
- Gridded information from 3D composite
- Nowcastet fields
P4:Flash Flood Prediction(FFP)
Core objectives:
Advance river discharge forecast, particularly flash-flood lead times:
- Evaluate QPE/QPN/QPF data improved by P1,P2 and P3
- Apply a physically based hydrological model
- Improve real-time data assimilitation of discharge and soil moisture
C1:Infrastructure project
Core objectives:
- Build and maintain a data collection and exploitation platform that mirrors the current status of best practice to organize, exhange, and implement data and algorithms between projects
- Fundamental research in convection initiation