Objective
To establish a muti-year systematic collection of heavy precipitation episodes by processing combined data sets from ground based radar, surface and upper air observations.
To analyse major precipitation events by applying operational and research-type numerical weather forecast models and to quantify the underlying physical processes.
To adapt airborne radar algorithms to measurements over mountainous terrain.
To develop and to implement new high-resolution numerical techniques (non-hydrostatic grid nesting).
These objectives will substantially contribute towards improving the prediction of precipitation and flooding
events in the Alpine region, and the research will provide valuable observational and numerical data sets suited
for continuing research in this area.
The project structure consists of six work packages:
A1: Systematic monitoring of precipitation systems from recent years A2: Coherent evaluation of operational precipitation forecasts A3: Detailed investigation of major cases
B1: Feasibility of airborne Doppler radar techniques over complex orography
B2: Implementation of advanced modelling techniques
B3: Process studies of the key physical mechanisms.
The work packages A1, A2, A3 place the emphasis on observed cases and the application of established
techniques, while packages B1, B2, B3 concentrate on process studies of key physical mechanisms and advanced
techniques which are under development.
Regarding the applied methods the projects aims at a balanced blend of observations from:
- advanced ground based radars (some Dopplerized/polarimetric) - routine surface networks (partly automatted)
- routine upper air soundings
and simulations from:
- operational weather forecasting models
- research models concentrating on key mechanisms
- tests of the next generation of operational models
in order to obtain an as complete as possible picture of heavy precipitation events in the Alpine region and the
short range predictability for the atmospheric part of the hydrological cycle.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
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Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
82234 WESSLING
Germany