Weather forecast with WRF-EMS

Prof. Lahcen BAHI (Ecole Mohammadia d'Ingénieurs, Rabat, Morocco)

Mr. Mohamed EL KHARRIM(Direction Régionale de la Météorologie au Nord, Rabat, Morocco)

Weather and Climate Simulation using WRF Model on Moroccan Computing Grid

Africa 6 2011 - EPIKH Workshop, CNRST-Rabat, 16 June 2011

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 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 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 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 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 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 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 features

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

The need of Grid

(Time consuming runs)

High resolution

Large domain

Long range forecast

(10 days)

Runs with Data Assimilation

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

WRF Modeling System

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

Pre-processing

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

Running

ems_run --option

Post-processing

ems_post –grads

Visualizing

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

ResultsModel run time

1 2 4 6 8 10 15 200.00

10.00

20.00

30.00

40.00

50.00

60.00

CPU number

Tim

e in

min

ute

s

Results obtained using the Eumedgrid infrastructure

WRF ARW Core Benchmark

Model configuration for WRF EMS Benchmark simulation:

Grid Dimensions : 5005 (77x65) Horizontal grid points x 45 vertical levels

Forecast Length : 24 hours with 3 hour output frequency

Grid Spacing : 15km

Time Step : 90 seconds

Cumulus Scheme : Kain-Fritsch

WRF ARW Core Benchmark ResultsWRF Compiler Platform CPU Kernel Memory Time

2.1 PGI INTEL 1x 0.93 GhZ PIII 2.6.15-1.2054_FC5 0.5 Gb 235 min

2.1 PGI INTEL 2x 0.80 GhZ PIII 2.4.20-42.9.legacysmp 0.5 Gb 154 min

2.1 PGI INTEL 1x 2.00 GhZ P4 2.6.18-1.2798.fc6 1.0 Gb 116 min

2.1 PGI INTEL 2x 1.70 GhZ Xeon 2.4.21-27.ELsmp 1.0 Gb 64 min

2.1 PGI INTEL 2x 3.20 GhZ Xeon 2.6.9-5.ELsmp 2.0 Gb 32 min

2.1 PGI INTEL 2x 2.80 GhZ Xeon 2.6.18-1.2239.fc5smp 2.0 Gb 33 min

2.1 PGI INTEL 2x 2.80 GhZ Xeon 2.6.9-42.0.3.ELsmp 2.0 Gb 31 min

2.1 PGI INTEL 2x 3.20 GhZ Xeon 64-bit 2.4.21-20.EL 4.0 Gb 29 min

2.1 PGI INTEL 2x 2.80 GhZ Xeon 2.6.9-42.0.2.ELsmp 4.0 Gb 29 min

2.1 PGI INTEL 2x 3.06 GhZ Xeon 2.6.9-34.0.1.ELsmp 8.0 Gb 21 min

2.1 PGI INTEL 1x 1.00 GhZ PIII 2.6.20-1.2933.fc6 2.0 Gb 236 min

2.1 PGI INTEL 1x 0.93 GhZ PIII 2.6.15-1.2054_FC5 0.5 Gb 243 min

2.1 PGI INTEL 2x 0.80 GhZ PIII 2.4.20-42.9.legacysmp 0.5 Gb 170 min

2.1 PGI INTEL 1x 1.50 GhZ P4 2.4.20-18.9 1.5 Gb 160 min

2.1 PGI INTEL 2x 0.80 GhZ PIII 2.6.17-1.2142_FC4smp 1.0 Gb 156 min

2.1 PGI INTEL 1x 2.00 GhZ P4 2.6.18-1.2798.fc6 1.0 Gb 118 min

2.1 PGI INTEL 1x 2.60 GhZ P4 2.4.20-42.9.legacy 1.0 Gb 87 min

2.1 PGI INTEL 2x 1.70 GhZ Xeon 2.4.21-27.ELsmp 1.0 Gb 80 min

2.1 PGI INTEL 1x 1.70 GhZ Xeon 2.6.18-1.2239.fc5smp 1.0 Gb 71 min

2.1 PGI INTEL 2x 2.80 GhZ Xeon 2.6.17-1.2142_FC4smp 2.0 Gb 40 min

2.1 PGI INTEL 2x 3.20 GhZ Xeon 2.6.9-5.ELsmp 2.0 Gb 42 min

2.1 PGI INTEL 2x 2.70 GhZ Xeon 2.6.15-1.1831_FC4smp 2.0 Gb 41 min

2.1 PGI INTEL 1x 2.80 GhZ Xeon 2.6.16-1.2069_FC4 2.0 Gb 57 min

2.1 PGI INTEL 2x 2.80 GhZ Xeon 2.4.21-40.ELsmp 2.0 Gb 42 min

2.1 PGI AMD 2x 1.80 GhZ Opteron 244 2.6.9-34.0.1.ELsmp 1.5 Gb 33 min

2.1 PGI AMD 2x 2.20 GhZ Opteron 248 2.6.12-1.1380_FC3smp 2.0 Gb 23 min

2.1 PGI AMD 2x 2.00 GhZ Opteron 270 (Dual Core) 2.6.16-1.2108_FC4smp 4.0 Gb 15 min

2.1 PGI AMD 2x 2.20 GhZ Opteron 248 2.6.12-1.1380_FC3smp 2.0 Gb 26 min

2.1 PGI AMD 2x 2.00 GhZ Opteron 270 (Dual Core) 2.6.16-1.2108_FC4smp 4.0 Gb 23 min

Thank You