EMD-WRF South Korea (ERA-Interim): Difference between revisions

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== Validation ==
== Validation ==
The model-setup has been validated through various internal investigations on masts spatially distributed in the modelling area. <br>The findings (the correlations) are summarized in the datasheet available ([[Media:EMD-WRF_SouthKorea-ProductSheet.pdf|here]]).
The model-setup has been validated through various internal investigations on masts spatially distributed in the modelling area. <br>The findings (the correlations) are summarized in the datasheet available ([[Media:EMD-WRF_SouthKorea-ProductSheet.pdf|here]]).<br>
In addition to the internal investigations, then the EMD-WRF modelling setup has been evaluated in a number of external benchmarks. <br> We have a separate [[EMD-WRF Benchmarks|EMD-WRF Benchmark Wiki-Page]] that holds links to those investigations.
In addition to the internal investigations, then the EMD-WRF modelling setup has been evaluated in a number of external benchmarks. <br> We have a separate [[EMD-WRF Benchmarks|EMD-WRF Benchmark Wiki-Page]] that holds links to those investigations.



Revision as of 22:47, 17 February 2016

Illustration of the Data Coverage of the EMD-WRF South Korea Dataset


Introduction and Model Domain

EMD-WRF South Korea is a high resolution mesoscale dataset modelled and provided by EMD International A/S. The dataset covers South Korea and minor parts of Japan and North Korea. The model domain for EMD-WRF South Korea is shown in the figure to the right.

Note: This dataset requires an additional license (see below).

Dataset Description

The mesoscale model is run at a spatial resolution of 0.029°x0.029°, approximately 3x3 km, and with hourly temporal resolution. ERA Interim data from ECMWF (http://www.ecmwf.int) is the global boundary data. The timespan of the data is back to 1994 and up until the latest available boundary data (see below for the Release Schedule). Data access is via WindPRO’s user friendly interface to on-line data and requires payment of an annual subscription fee.

Release Schedule

Data is updated monthly with approximately 3 months delay defined by ERA Interim's availability. Before contacting support because of delays in the release schedule, please check ERA interim's availability on the ERA availability page. EMD-WRF South Korea data cannot be computed before ERA interim data is available.

When downloading the most recent data, please note that the last day of the last month will be missing until the next month is added. This is because, in order to compute a full day of data, the 24:00h (or 0:00 of following day) time stamp is required, but the last time stamp of a month in ERA interim data is 18:00 h.

Validation

The model-setup has been validated through various internal investigations on masts spatially distributed in the modelling area.
The findings (the correlations) are summarized in the datasheet available (here).
In addition to the internal investigations, then the EMD-WRF modelling setup has been evaluated in a number of external benchmarks.
We have a separate EMD-WRF Benchmark Wiki-Page that holds links to those investigations.

Required modules/licenses

To access the EMD-WRF South Korea mesoscale data the following licenses/modules are required in your WindPRO setup:

  • Basis
  • METEO
  • EMD-WRF South Korea

When the license fee is paid, you then have access to the full data-set without further cost. The cost is available from the price-list on the EMD-homepage. Downloading of data is unrestricted for licenced users, however a "fair use" policy applies. Unlicenced users may download three months of data from any point, however, multiple downloads are not allowed from the same point.

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 South Korea dataset that are available from within WindPRO are shown in the table below.

Table: Overview of EMD-WRF South Korea Dataset Parameters (3 km grid).
Parameter Unit Description Type
time UTC time stamp
psfc hPa Pressure at site Instantaneous
msl hPa 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/s Total Precipitation at surface 1h Average
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 South Korea 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.