EMD-WRF Indonesia

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Illustration of the Data Coverage of the EMD-WRF Indonesia Dataset

Introduction and Model Domain

This mesoscale wind resource map is available for public use. The map was developed in 2014-2017 by EMD International A/S, Denmark, and financed by the Environmental Support Programe (ESP3)/ Danida. The project was implemented for The Ministry of Energy and Mineral Resources, Indonesia, and ESP3. The applied mesoscale model is WRF (Weather and Research Forecast Model) with a spatial resolution of 0.029° (ca. 3 km) and driven by Era-Interim global data from the period 2004-2015. The datasheet available can be found (here).

Data Access

You can access the time-series data directly from within windPRO or thorough our web-based windPROSPECTING portal at http://indonesia.windprospecting.com.

Dataset Parameters

A large quantity of useful parameters are available directly in WindPRO to aid in your analysis.
The different parameters in the EMD-WRF Indonesia dataset that are available from within WindPRO are shown in the table below.

Table: Overview of EMD-WRF Indonesia Dataset Parameters (3 km grid).
Parameter Unit Description Type
time UTC time stamp
psfc Pa Pressure at site Instantaneous
msl Pa Pressure at mean sea level Instantaneous
wSpeed.x m/s Wind speeds at different physical levels (x).
Heights (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m
Instantaneous
wDir.x deg Wind speeds at different physical levels (x).
Heights (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m
Instantaneous
wSpeed.0-30mb m/s Wind speeds at pressure level 0-30mb. Instantaneous
wDir.0-30mb deg Wind speeds at pressure levels 0-30mb. Instantaneous
wSpeed.850hpa m/s Wind speeds at pressure level 850hPa. Instantaneous
wDir.850hpa deg Wind speeds at pressure levels 850hPa. Instantaneous
temperature.x celcius Temperatures at different heights (x)
Heights (x): 2m and 100m
Instantaneous
waterTemp celcius Water temperature Instantaneous
soilTemp.0-10cm celcius The temperature in the upper 10 cm of the soil Instantaneous
relHumidity.2 % Relative humidity in height 2m above ground level Instantaneous
snowDepth m Show depth (if present) Instantaneous
vis.s m Visibility at surface Instantaneous
sensHeatFlux.s w/m2 Sensible Heat Flux at surface Instantaneous
totPrecip.s kg/m^2 Total Precipitation at surface 1h Accumulated
downShortWaveFlux.s w/m2 Downward shortwave irradiance at surface 1h Average
totalCloudCover.a % Total cloud cover in atmosphere 1h Average
convCloudCover.a % Convective cloud cover in atmosphere 1h Average
Data below this line are not shown in a default import of EMD-WRF Indonesia data, but can be made available by clicking on the "+" button in the lower left corner of the import table.
4LFTX K N/A
rmol 1/m Inverse Monin-Obukhov-Length [1]
znt m Rougnhess length
sqrtTKE.x m/s Wind speed given as standard deviation in m/s. Derived from the turbulent kinetic energy (TKE).
Results available in different physical levels.
Heights (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m
Instantaneous
cloudWater.100 kg/kg Parameter intended for estimating probability of icing.[2] Instantaneous
cloudIce.100 kg/m^2 Parameter intended for estimating probability of icing. [2] Instantaneous

Footnotes

  1. It is still being investigated whether this inverse Monin-Obukhov-Length can be used for stability clasification.
  2. 2.0 2.1 CloudWater and cloudIcing values are extracted directly from the WRF meso-scale model and are normal output parameters of the same run as the other parameters (wind, temperature etc.). They are controlled by the WRF microphysics scheme for which Ferrier was used. For further information, please access the numerous internet resources about WRF use. EMD has not done any validation on the parameters, so they are provided as is.