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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
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)

wrf ems features
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).
wrf ems features1
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
wrf ems features2
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.
wrf ems features3
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.
wrf ems features4
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.
wrf ems features5
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.
wrf ems features6
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.
wrf ems features7
WRF EMS features
  • The post processor supports a wide variety of display software including AWIPS, BUFSKIT, NCL, GrADS, GEMPAK, NAWIPS, and netCDF.
the need of grid
The need of Grid

(Time consuming runs)

  • High resolution
  • Large domain
  • Long range forecast

(10 days)

  • Runs with Data Assimilation
the need of grid1
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
sensitivity of a simulation to model configuration case study
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

case running
Case Running
  • Pre-processing

ems_prep --dset gfsptile --date 20110606 --cycle 00 --length 24

  • Running

ems_run --option

  • Post-processing

ems_post –grads

  • Visualizing
results model run time
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

results model run time1
ResultsModel run time

Results obtained using the Eumedgrid infrastructure