View source for EMD-WRF South Korea (ERA-Interim)

[[Category:Online Data]][[Category:Wind Data]]
[[File:southkorea_cutdown.png|500px|right|thumb|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.

Please Note: 
* This dataset is no longer updated; last available data is august 2019. 
* It is replaced with the [[EMD-WRF_South_Korea_(ERA5)|EMD-WRD South Korea (ERA5) dataset]]
* Access to the 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 == 
This dataset is not updated anymore, as its source data (the ERA-Interim data) is no longer available. The dataset used to recieve monthly updates, with approximately 3 months delay defined by ERA Interim's availability and computational efforts regarding EMD's high-performance computer clusters.

== Usage Note: The EMD-WRF South Korea (ERA-Interim) dataset is discontinued from ultimo 2019==
2020-02-20: The last month with ERA-Interim data was august 2019 as ECMWF has discontinued this dataset and has replaced it with the [[ERA5_Gaussian_Grid|ERA5 Data]]. EMD has ceased to update the EMD-WRF South Korea (ERA-Interim) dataset as the source data is no longer available. The [[EMD-WRF_South_Korea_(ERA5)|EMD-WRF South Korea (ERA5)]] dataset is already available as the natural, higher-quality successor for the "EMD-WRF South Korea (ERA-Interim)" dataset. Find more information [[EMD-WRF_South_Korea_(ERA5)|here]].

== 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]]).<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.

== Required modules/licenses ==
To access the EMD-WRF South Korea (ERA-Interim) mesoscale data the following licenses/modules are required in your WindPRO setup:
* Basis
* METEO
* EMD-WRF South Korea (ERA5)
When the license fee is paid, you then have access to the full dataset without further cost. The price is available from the [http://www.emd.dk/windpro/price-list/data-sets/ 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.

Visit [http://www.emd.dk/windpro/online-ordering/ EMD online ordering] to purchase the needed licences.

== Dataset Parameters == 
A large quantity of useful parameters are available directly in WindPRO to aid in your analysis. <br>The different parameters in the EMD-WRF South Korea dataset that are available from within WindPRO are shown in the table below.

{| class="wikitable"
|+ align="bottom"|Table: Overview of EMD-WRF South Korea 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).<br>Heights (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m
|Instantaneous
|-
|wDir.x
|deg
|Wind speeds at different physical levels (x).<br>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)<br> 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
|Snow 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
|-
|colspan="4"|<small>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.<small>
|-
|4LFTX
|K
|N/A
|
|-
|rmol
|1/m
|Inverse Monin-Obukhov-Length <ref name="rmol">It is still being investigated whether this inverse Monin-Obukhov-Length can be used for stability clasification''.</ref>
|
|-
|znt
|m
|Rougnhess length
|
|-
|sqrtTKE.x
|m/s
|Wind speed given as standard deviation in m/s. Derived from the turbulent kinetic energy (TKE).<br>Results available in different physical levels. <br>Heights (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m
|Instantaneous
|-
|cloudWater.100 
|mg/kg
|Parameter intended for estimating probability of icing.<ref name="ice">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.</ref>
|Instantaneous
|-
|cloudIce.100
|mg/kg
|Parameter intended for estimating probability of icing. <ref name="ice"> </ref>
|Instantaneous
|}

== Attribution ==
If data from this dataset is used within any private or public disseminations, then EMD and its data providers must be acknowledged. 
<pre>
Source: 
EMD-WRF South Korea - Copyright (C) - EMD International A/S, 2019. Distribution through EMD and windPRO.
This dataset uses ERA-Iterim which is being developed through the European Centre for Medium-Range Weather Forecasts (ECMWF). 
</pre>

== Footnotes ==
<references />