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Weather forecast with WRF-EMS

Weather forecast with WRF-EMS. Africa 6 2011 - EPIKH Workshop, CNRST-Rabat, 16 June 2011. Weather and Climate Simulation using WRF Model on Moroccan Computing Grid. Prof. Lahcen BAHI ( Ecole Mohammadia d'Ingénieurs, Rabat, Morocco) Mr. Mohamed EL KHARRIM

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Weather forecast with WRF-EMS

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  1. Weather forecast withWRF-EMS Africa 6 2011 - EPIKH Workshop, CNRST-Rabat, 16 June 2011 Weather and Climate Simulation using WRF Model on Moroccan Computing Grid Prof. Lahcen BAHI (Ecole Mohammadia d'Ingénieurs, Rabat, Morocco) Mr. Mohamed EL KHARRIM (Direction Régionale de la Météorologie au Nord, Rabat, Morocco)

  2. WRF EMS features • Complete, full-physics, numerical weather prediction (NWP) package that incorporates dynamical cores from both the National Center for Atmospheric Research (NCAR) Advanced Research WRF (ARW) and the National Center for Environmental Predictions' (NCEP) non-hydrostatic mesoscale model (NMM).

  3. WRF EMS features • All the capability of the NCEP and NCAR WRF packages are retained within the WRF EMS; • complete and relatively easy to use numerical weather prediction (NWP) modeling package

  4. WRF EMS features • The installation, configuration, and execution of the cores have been simplified to encourage its use throughout the operational, private, and University forecasting and research communities.

  5. WRF EMS features • Every element of an operational NWP system has been integrated into the WRF EMS, including the acquisition and processing of initialization data, model execution, output data processing, and file migration and archiving.

  6. WRF EMS features • Tools for the display of forecast and simulation data are provided. • Real-time forecasting operations are enhanced through the use of an automated process that integrates various fail-over options and the synchronous post processing and distribution of forecast files.

  7. WRF EMS features • The EMS supports the automated processing of forecast files concurrent with a model run. • The user can view forecast fields while the model is running. • Should a run fail, the WRF EMS will also send e-mail to the user(s) alerting of a problem.

  8. WRF EMS features • The system includes pre-compiled binaries optimized for 32- and 64-bit Linux systems running shared or distributed memory Linux environments. • The MPICH2 executables are also included for running on local clusters across multiple workstations.

  9. WRF EMS features • The post processor supports a wide variety of display software including AWIPS, BUFSKIT, NCL, GrADS, GEMPAK, NAWIPS, and netCDF.

  10. The need of Grid (Time consuming runs) • High resolution • Large domain • Long range forecast (10 days) • Runs with Data Assimilation

  11. The need of Grid NWP guidance to NWS and River Forecast Centers (RFCs) at temporal and spatial scales (high resolution) not available from operational data sources • Making a Global model • Making 4 runs per day • Re-modeling local forecast problems and historically significant weather events

  12. WRF Modeling System

  13. Sensitivity of a Simulation to Model Configuration(Case Study) • Domain2: North of Morocco • Grid resolution: 5 km • Forecast length: 24h • 2011-06-06 00:00 to 2011-06-07 00:00 • Domain1: Morocco • Grid resolution: 16 km • Forecast length: 24h • 2011-06-06 00:00 to 2011-06-07 00:00

  14. Case Running • Pre-processing ems_prep --dset gfsptile --date 20110606 --cycle 00 --length 24 • Running ems_run --option • Post-processing ems_post –grads • Visualizing

  15. ResultsModel run time • Domain2: North of Morocco (100x72) • Grid resolution: 5 km • Forecast length: 24h • 3 h 9 min • Domain1: Morocco (100x101) • Grid resolution: 18 km • Forecast length: 24h • 54 min Platform: Intel CPU: Pentium D

  16. ResultsModel run time Results obtained using the Eumedgrid infrastructure

  17. WRF ARW Core Benchmark

  18. WRF ARW Core Benchmark Results

  19. Thank You

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