P1: Quantitative Precipitation Estimation (QPE)

Physics-based QPE using polarimetric radars and commercial microwave links.

Core Objectives:

• Full exploitation 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)

Object-based weather analysis and Nowcasting.

Core Objectives:

• 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)

Assimilation of polarimetric information and observation-based nowcasted fields in numerical weather prediction.

Core Objectives:

• Polarimetric moments and radar-derived mixing ratios
• Gridded information from 3D composite
• Nowcasted fields

P4: Flash Flood Prediction (FFP)

Evaluation of QPE and QPN improvements in a flash flood nowcasting framework with data assimilation.

Core Objectives:

• Evaluate QPE/QPN/QPF data improved by P1, P2, and P3
• Apply a physically based hydrological model
• Improve real-time data assimilation of discharge and soil moisture

C1: Infrastructure

Multi-Sensor Compositing for Hydrometeor Classification, High-Impact Weather, Nowcasting and Data Assimilation.

Core Objectives:

• Build and maintain a data collection and exploitation platform that mirrors the current status of best practice to organize, exchange, and implement data and algorithms between projects
• Fundamental research in convection initiation