Difference between revisions of "EMD-WRF Europe+ (ERA5)"

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* WindPROSPER at [https://www.eurostars-eureka.eu/project/id/10037 Eurostars]  
 
* WindPROSPER at [https://www.eurostars-eureka.eu/project/id/10037 Eurostars]  
 
* Innovation Fund Denmark - https://innovationsfonden.dk
 
* Innovation Fund Denmark - https://innovationsfonden.dk
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==Footnotes==
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<references />

Revision as of 11:07, 24 June 2019

This page will hold the EMD-WRF Europe+ Mesoscale Data Set Description

EMD-WRF Europe+ Domain

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 Europe+ dataset that are available from within windPRO are shown in the table below.

Table: Overview of EMD-WRF Middle East Dataset Parameters (3 km grid).
Parameter Unit Description Type
time UTC time stamp
wSpeed.x m/s Wind speeds at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
wDir.x deg Wind directions at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
sqrtTKE.x m/s Wind speed given as standard deviation in m/s. Derived from the turbulent kinetic energy (TKE) at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
press.x Pa Pressure at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
temp.x celcius Temperature at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
rh.x % Relative humidity at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
cloudWater.x kg/kg Cloud water content at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
cloudIce.x kg/m^2 Cloud icing content at different heights above ground (x).
Heights (x): 10,25,50,75,100,150,200,300,400,500,750,1000,4000m
Instantaneous
psfc Pa Pressure at site Instantaneous
msl Pa Pressure at mean sea level Instantaneous
wSpeed.850hpa m/s Wind speeds at pressure level 850hPa. Instantaneous
wDir.850hpa deg Wind speeds at pressure levels 850hPa. Instantaneous
temperature.2 celcius Temperatures at 2m 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
swdDir.s w/m2 Direct shortwave irradiance at surface 1h Average
swdDif.s w/m2 Diffuse shortwave irradiance at surface 1h Average
cloudBottom m Height of cloud bottom Instantaneous
cloudTop m Height of cloud top Instantaneous
totalCloudCover.a % Total cloud cover in atmosphere 1h Average
convCloudCover.a % Convective cloud cover in atmosphere 1h Average
rmol 1/m Inverse Monin-Obukhov-Length [1]
znt m Rougnhess length Instantaneous
u* m/s U-start (friction velocity) Instantaneous
pblh m Height of the PBL boundary layer Instantaneous



Validation

The model-setup has been rigorously validated through various internal investigations on more than 300 high-quality meteorological masts spatially distributed in the modelling area. The performance statistics are summarized on the second-page of the datasheet (see this pdf-file) - here.

In addition to the EMD-validations, 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.

Acknowledgement

  • Model development and integration of this dataset into EMD services - was co-supported through the WindPROSPER project. The windPROSPER project is co-funded by the Danish Innovation Fund and the EuroStars framework programme.

External Links

Footnotes

  1. It is still being investigated whether this inverse Monin-Obukhov-Length can be used for stability clasification.