Global Wind Atlas is a EUDP funded project on creating a global wind atlas. It is managed by DTU Wind Energy, Meteorology department. This map server is setup to create necassary digital maps (both elevation and roughness) from different map sources for the project. Altough, it ionly include 5 datasets right now. Ant regional or global dataset can be added with a very few efforts. If you want to see some other datasets, contact Neil Davis.
Name | Version | CodeName | Date | Info | Coverage | Source Data | Output Projection | Status |
---|---|---|---|---|---|---|---|---|
Reanalysis | ||||||||
CFDDA Climate Four-Dimensional Data Assimilation |
1.0 | cfdda_ws_50m, cfdda_ws_100m, cfdda_ws_200m | 1985-2005 mean | URL | Global on a 0.4 degree grid (1440 arc seconds) | netCDF4 | Latlong:WGS84 | ACTIVE |
Generalized CFDDA | 1.0 | gen_cfdda_ws_50m, gen_cfdda_ws_100m, gen_cfdda_ws_200m | 1985-2005 mean | Generalized to .lib format at DTU Wind Energy | Global on a 0.4 degree (1440 arc second) grid | netCDF4 | Latlong:WGS84 | ACTIVE |
MERRA MODERN ERA-RETROSPECTIVE ANALYSIS FOR RESEARCH AND APPLICATIONS |
1.0 | merra_ws_50m, merra_ws_100m, merra_ws_200m | 1979-2013 mean | URL | Global on a 1/2 degree lat x 2/3 degree lon grid | hdf | Latlong:WGS84 | ACTIVE |
Generalized MERRA | 1.0 | gen_merra_ws_50m, gen_merra_ws_100m, gen_merra_ws_200m | 1985-2005 mean | Generalized to .lib format at DTU Wind Energy | Global on a 1/2 degree lat x 2/3 degree lon grid | netCDF4 | Latlong:WGS84 | ACTIVE |
Landuse | ||||||||
GlobCover |
2.3 | globcover | 2009 (Released: Dec 23, 2010) | URL | GLOBAL on a 10 arc second (0.002778 degree) grid | GeoTiff | Latlong:WGS84 | ACTIVE |
MODIS-based Global Land Cover Climatatology |
1.0 | modis | 2001-2010 (Released: 2014) | URL | GLOBAL on a 15 arc second (0.0041667 degree) grid | GeoTiff | Latlong:WGS84 | ACTIVE |
Roughness | ||||||||
GLOBCOVER |
1.0 | globcover_rough | 2015 | GLOBCOVER dataset colored to match the roughness classes used in the GWA. Missing values are marked as such. | GLOBAL on a 10 arc second (0.002778 degree) grid | NA | Latlong:WGS84 | ACTIVE |
GWA Final Roughness |
1.0 | globcover_gwa | 2015 | GLOBCOVER roughness, warped to 300m UTM grids for each GWA compuational zone. Missing values were filled using a mapping from MODIS data. | GLOBAL on a 300m UTM grid with overlapping regions | NA | Latlong:WGS84 | ACTIVE |
Terrain Height | ||||||||
SRTM CGIAR Shuttle Radar Topography Mission |
4.1 | strm_150 | Jun 17, 2009 | URL Original data was warped to 150m UTM grids for GWA compuational boundaries. | GLOBAL 3 arcsecond (0.0008333 decimal degree) grid between 60 degrees north latitude to 60 degrees south [82% of the landmass on earth]. It is a derivative of the original SRTM dataset v2.1 which is processed to fill data voids. | GeoTiff format of 5degx5deg tiles. | Latlong:WGS84 | ACTIVE |
Viewfinder | May 26, 2014 | viewfinder_150 | May 26, 2014 | URL Most of the data is from 3 arc second SRTM DEM, but it has been patched to fill in most of the glob from other sources. Original data was warped to 150m UTM grids for GWA compuational boundaries. | GLOBAL 3 arcsecond (0.0008333 decimal degree) grid. Missing data over Greenland and part of Eastern Russia. | SRTMHGT File Format | Latlong:WGS84 | ACTIVE |
GWA Results | ||||||||
Wind Speed | 1.0 | wspd_50m, wspd_100m, wspd_200m | May 2015 | Produced using the WAsP / Global Wind Atlas methodology | GLOBAL over land, with a 30km coastal zone, and a resolution of 1000m on UTM grids. | NA | Latlong:WGS84 | ACTIVE |
Power Density | 1.0 | gwa_pd_50m, gwa_pd_100m, gwa_pd_200m | May 2015 | Power density as calculated using the WAsP / Global Wind Atlas methodology | GLOBAL over land, with a 30km coastal zone, and a resolution of 1000m on UTM grids. | NA | Latlong:WGS84 | ACTIVE |
The map server currently supports WMS CGI web access. You can use "URL format" for the area you want as in below. You may find the full description of the WMS protocol in this document WMS.pdf. You can also get capabilities from each of the different mapfiles by clicking on the link for that section in the table.
You can get the capabilities via
http://mapserver.globalwindatlas.com/gwa&SERVICE=WMS&VERSION=1.1.1&REQUEST=GetCapabilities
You can get a map in PNG format
http://mapserver.globalwindatlas.com/gwa&SERVICE=WMS&VERSION=1.1.1&REQUEST=GetMap&SRS=EPSG:4326&BBOX=12,55,13,56&WIDTH=1000&HEIGHT=1000&LAYERS=wspd_50m&FORMAT=image/png
You can get a map in Surfer ASCII Grid format
http://mapserver.globalwindatlas.com/landuse&SERVICE=WMS&VERSION=1.1.1&REQUEST=GetMap&SRS=EPSG:4326&BBOX=12,55,13,56&WIDTH=1000&HEIGHT=1000&LAYERS=globcover&FORMAT=text/plain;type=GSAG
Lets say we want to use our previous example in our software. Here is how you do it in different software;
Mathematica can load a URL into memory. You need to save with command export if you will not use it on the fly.
map=Import(URL);
Matlab can easily get a URL and write into a file. Than you can load and use.
urlwrite(URL,filename)
WGet is a tool to download anything on the internet for Linux, Windows or Mac. Since we use a web-service you can directly ask for the maps with WGet. (Download wget get here)
wget URL
The WMS FORMAT argument takes MIME extensions to output different raster formats. The current mapserver exports data in the following formats.
MIME Format | type | File Extension |
---|---|---|
image/tiff | Styled Tiff Image | .tif |
image/tiff;type=raw | Raw data in Tiff format | .tif |
/image/png | Styled PNG image | .png |
text/plain;type=GSAG | Raw data in Golden Software ASCII Grid format | .grd |
All output will be in one of the above RASTER format with the resolution and projection you have choosen. You can use them directly in WAsP Engineering for example if you export as GSAG. (Hint: Very soon WAsP will also accept map server raster products. )
Here is the contact information:
Email: neda at dtu.dk