EMD-WRF Middle East Mesoscale Data


windPRO includes a subscription service to download free time series from a high resolution mesoscale data set covering a large section of the Middle East. The data is modelled in-house on EMD’s computer cluster using WRF.

The mesoscale model is run at a high spatial resolution of 0.03°x0.03°, Approximately 3×3 km, with hourly temporal resolution. ERA Interim data from ECMWF is the global boundary data set. The first release of the EMD-WRF Middle East dataset covered selected regions and countries in the Middle East region, including the whole of Turkey, Jordan, Cyprus, Azerbaijan and Lebanon. Also included was selected parts of other countries like Syria, Egypt, Georgia and Iran. Our second release during September 2016 added also Iran and nearby regions. Please consult the map below for exact coverage.

The data is divided into three model areas: Southwest (SW), Northwest (NW) and East (E).

The data sets cover more than 20 years. Data is updated monthly with app. 3 months delay defined by ERA Interims availability.
Data access is directly via windPRO’s user-friendly, on-line data interface – approximately 850,000 time series are available for instant download, thus no delivery time.

Access to the Mesoscale Data Set

To access the EMD-WRF Middle East (SW, NW and E) mesoscale data set, the following are required:

  • windPRO BASIS module
  • windPRO METEO or MCP module
  • Subscription to EMD WRF Middle East data set

Very Competitive Pricing

Access to the EMD-WRF Middle East mesoscale data set set is offered at the following annual prices:

  • Euro 1,500 for the first subscription
  • Euro 525 (35%) for each additional subscription within the same company.

Subscribers may download up to 100 time series per calendar month. Additionally, a refresh of already downloaded time series in not counted as a new download. Refresh of already downloaded time series is not counted as a new download.

Validation

The histogram below shows correlation coefficients for several high quality masts across the domain.

Ill 2

The table below shows the correlation, both the mean and standard deviation, in comparison to MERRA, another popular global reference dataset available for the Middle East.

Mean Std Dev
MERRA 0.61 0.17
EMD-WRF Middle East 0.76 0.09

For more technical infomation, please visit the windPRO On-line data page.