EMD-WRF Europe+ (ERA5): Difference between revisions
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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 | ||
==Footnotes== | |||
<references /> |
Revision as of 10:07, 24 June 2019
This page will hold the EMD-WRF Europe+ Mesoscale Data Set Description
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.
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
- WindPROSPER at Eurostars
- Innovation Fund Denmark - https://innovationsfonden.dk
Footnotes
- ↑ It is still being investigated whether this inverse Monin-Obukhov-Length can be used for stability clasification.