This also ensures thatĪll interpolated values, when converted back to the unit of %, are Transformed by \(\sqrt\) prior to fitting. (and the background field used in the gridding method) were Remove some of the skewness in the data, the relative humidity values
One used for temperature, precipitation and sea level pressure. The gridding method used for this element is the same as the Holdings of the ECA&D dataset similar as the other E-OBSĭatasets. The dataset for relative humidity is based on the in-situ data
#Obs download how to
(2018) and the guidance on how to use ensemble datasets. The spread is calculated as the difference between the 5th and 95th percentiles over the ensemble to provide a measure indicate of the 90% uncertainty range. The mean across the members is calculated and is provided as the "best-guess" fields. For each of the members of the ensemble a spatially correlated random field is produced using a pre-calculated spatial correlation function. The ensemble dataset is constructed through a conditional simulation procedure. The Global 30 Arc-Second Elevation Data Set ( GTOPO30), a global raster Digital Elevation Model (DEM) with a horizontal grid spacing of 30 arc seconds (approximatelyġ kilometer) developed by USGS is used for the elevation file as well. Sum RR, daily mean sea level pressure PP, daily mean wind speed FG, daily mean relative humidity HU and global radiation QQ. Temperature TN, daily maximum temperature TX, daily precipitation Bookmark this page for future direct access!ĮCA&D staff will maintain and update the E-OBS gridded dataset.Į-OBS comes as an ensemble dataset and is available on a 0.1 and 0.25 degree regular grid for the elements daily mean temperature TG, daily minimum This is the download page for the ENSEMBLES daily gridded observational dataset for precipitation, temperature and sea level pressure in Europe called E-OBS.