EMD-WRF Europe+ (ERA5)

From Wiki-WindPRO
Jump to navigation Jump to search
EMD-WRF Europe+ Domain

Introduction

The EMD-WRF Europe+ dataset is our most accurate, high-resolution mesoscale dataset covering an Europe Plus domain. It is based on ERA-5 reanalysis data from ECMWF (http://www.ecmwf.int) as its boundary conditions. As a premium dataset, a ‘EMD-WRF Europe+’ subscription gives you instant access to 2.5 million continuously updated onshore and offshore mesoscale time series. The domain area is shown in the figure the right.

The WRF mesoscale model is run in an optimized configuration at a high spatial resolution of 3km to produce hourly time series. Direct access to time series via windPRO’s user-friendly on-line data service - i.e. no delivery time! Spatial visualization of the full domain is included via windprospecting.com - and typically accessed from within windPRO.

At release time, the timespan of the data is at least 10 years back from today - the data is currently extended continiously - and will cover a minimum of 20 years during 2019. Data access is via WindPRO’s user friendly interface to on-line data and requires payment of an annual subscription fee. Thd EMD-WRF Europe+ dataset is the successor of the EMD-ConWx Meso Data Europe.

Release Schedule

Data is updated monthly with approximately 3 months delay defined by ERA-5's availability and computational efforts regarding EMD's high-performance computer clusters. Before contacting support because of delays in the release schedule, please check ERA-5's availability on the ECMWF-ERA5 availability page. EMD-Europe+ data cannot be computed before ERA-5 data is available and have been downloaded to our storage system.

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 - and summarized in the graph below.

In addition to the EMD-validations, the general 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. If you complete a benchmark study with EMD-WRF data then please let us know - see contact information here) - and we will add your reference to our benchmark page.

Probability curves for R2 based on 302 quality masts from wind power projects.

Dataset Parameters

A total of 127 sensors (parameters) are ready available for in-depth analysis directly in windPRO. 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 Europe+ 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

Required Modules/Licenses

To access the EMD-WRF Europe+ mesoscale data the following licenses/modules are required in your windPRO setup:

  • Basis
  • METEO
  • EMD-WRF Europe+

When the license fee is paid, you then have access to the full dataset without further cost. The price 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.

Visit EMD online ordering to purchase the needed licences.

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.