The AROME project issues for Fine-Scale atmospheric data assimilation

Dr. Francois Bouttier.
CNRM/GMAP - Météo-France


Friday, June 27, 10:30 a.m. CERFACS Conference Room


The Arome project (applications for research to operations at mesoscale) is Météo-France's next large Numerical Weather Prediction development, in collaboration with the Méso-NH and Aladin model communities and ECMWF. It will see the adaptation of state-of-the-art model and data assimilation software components to high-resolution atmospheric modelling for research and operational applications: non-hydrostatic dynamics at kilometric scales, physical parameterizations from the mesoscale research groups, variational assimilation of conventional, radar and satellite data. The emphasis is on improving atmospheric analyses and forecasts where there is substantial predictability at fine-scales, i.e. not entirely forced by the large-scale atmosphere: convective and frontal organisation of rain and clouds, low-level and surface phenomena, local weather.

Data assimilation is one of Arome's original features. It will rely on the IFS/Arpège/Aladin 3D-Var algorithm, with some extra algorithmic developments:

downscaling of large-scale forecast error models
adaptation to tropical conditions
situation-dependent structure functions and error estimates
interfacing capabilities with the Meso-NH model
image-processing strategies for satellite radiance and radar data
accounting for new observation geometries
enhancement of radar data based on time/space consistency
small scale/large scale coupling in assimilation
The talk will briefly explain the problems and suggested solutions in each case, with first results from the Arome prototype.

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