VERSUS: Requirements for TEMPs and windprofilers Francis Schubiger & Christophe Hug MeteoSwiss
Poster Session: Numerical Weather Prediction at MeteoSwiss
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Transcript of Poster Session: Numerical Weather Prediction at MeteoSwiss
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SRNWP
Jean-Marie Bettems & Guy de Morsier, MeteoSwiss
SRNWP/EWGLAM meeting, OsloOctober 2004
Poster Session:
Numerical Weather Prediction
at MeteoSwiss
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SRNWP
Highest point: 3109m
The Alpine Model at MeteoSwiss - aLMo
Swiss implementation of COSMO model
non-hydrostatic, fully compressible
Prognostic variablespressure, 3 wind components, temperature, specific humidity, cloud water, cloud icesoon: turbulent kinetic energy,precipitation (snow, rain)
Mesh defined on the right panelhorizontal: regular, 7km mesh sizevertical: terrain following 45L,100m thickness up to 2000m,top at 25km
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SRNWPThe Alpine Model at MeteoSwiss - aLMo
Initial conditions from assimilation cycle based on nudging method
currently only in-situ observations used (synop, ship, buoy, temp, amdar)provision for GPS IWV and windprofiler
Lateral boundary conditions from IFS/ECMWF global model 3 hourly frames
In production since 20013-hourly intermittent assimilation cycle two 72h forecasts per day97% reliability (i.e. 2 problems/month)
Performance of a single 72h forecastRun on NEC SX5 at CSCS (Swiss National Supercomputing Center)28 Gflops sustained on 14 PUs (25% of peak), 60‘ elapsed time12GB main memory13GB output data
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SRNWPMotivation for higher resolutionForecast of local weather
7 km mesh
2.2 km mesh
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SRNWP
aLMo 7km, regional scale
Own assimilation cycle
2 daily 72h forecast
Planed aLMo/2 configuration (2005-7)Nested in ECMWF and aLMo/7
IFS/ECMWF, 25km, synoptic scale
4 daily updates
aLMo 2.2km, local scale
Own assimilation cycle
8 daily 18h forecast
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SRNWPPlaned aLMo/2 configuration (2005-7)Scientific developments
MeteoSwiss coordinates and participates in many scientific developments
Latent heat nudging with radar data (ETHZ, DFG)
Assimilation of GPS derived water vapor (swisstopo, ETHZ)
Snow analysis using Meteosat 8 (EUMETSAT, ETHZ)
Snow, lake temperature, vegetation analysis using NOAA satellites (Uni Bern)
Turbulence in planetary boundary layer (EPFL)
Dynamical downscaling of ECMWF EPS with the LM (COSMO, NCCR)