1 / 6

Numerical Weather Prediction at MeteoSwiss

Numerical Weather Prediction at MeteoSwiss. 29th EWGLAM meeting. 8th of October 2007. Preoperational chain COSMO. COSMO-7 at 6.6km resolution. COSMO-2 at 2.2km resolution .

Jimmy
Download Presentation

Numerical Weather Prediction at MeteoSwiss

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Numerical Weather Predictionat MeteoSwiss 29th EWGLAM meeting 8th of October 2007

  2. Preoperational chain COSMO COSMO-7 at 6.6km resolution COSMO-2 at 2.2km resolution Mesh sizes: 3/50° ~ 6.6km 1/50° ~ 2.2kmMaximum height 3122m 3950mDomains: 393x338x60 = 7'970'040 GP 520x350x60 = 10’920’000 GPBoundary conditions every 3h from IFS/ECMWF hourly from COSMO-7 Forecasts 2 x 72h forecasts per day 8 x 24h forecasts per day (every 3h) Initial conditions nudging to observations same, use of radar (latent heat nudging) Pre-operationalnow(operational beginning of 2008) 390 Gflops sustained (816 processors; 9% of peak) on CrayXT4 at CSCS, Manno

  3. poor good Fuzzy verification for high resolution precipitation Fuzzy scores provide a wealth of information, but • the results seems to be contrasting • their interpretation is sometimes difficult • contain too many numbers

  4. Evaluation of the fuzzy scores Application Testbed

  5. A Fuzzy Verification testbed Virtual truth (Radar data, model data, synthetic field) Fuzzy Verification Toolbox Perturbation Generator Realizations of virtual erroneousmodel forecasts Analyzer Realizations ofverification results • Assessment of • sensitivity (mean) • [reliability (STD)] • Two ingredients: • Reference fields, e.g. radar derived rain fields, • Perturbations: Result: Evaluation of the scores

  6. Warning of extreme eventsusing calibrated COSMO-LEPS products 30 years reforecasts 1 deterministic run calibrate with climatology

More Related