Always quote citation when using data!
DOI for Scientific and Technical Data
10.5676/DWD_CDC/TRY_Basis_v001
Title
Monthly, daily and hourly grids of 12 commonly used meteorological variables for Germany estimated by the Project TRY Advancement
Citation
Stefan Krähenmann;Andreas Walter;Susanne Brienen;Florian Imbery;Andreas Matzarakis:
Version v001,2016,
DWD Climate Data Center,
DOI:10.5676/DWD_CDC/TRY_Basis_v001.
Creators
Stefan Krähenmann
(Deutscher Wetterdienst)
;Andreas Walter
(Deutscher Wetterdienst)
;Susanne Brienen
(Deutscher Wetterdienst)
;Florian Imbery
(Deutscher Wetterdienst)
;Andreas Matzarakis
(Deutscher Wetterdienst)
Publisher
DWD Climate Data Center
Publication Year
2016
Version
v001
Summary
These gridded data covering Germany have been prepared within the project TRY Advancement, for the period 1995-2012, in order to generate hourly datasets for Germany. The data include hourly, daily and monthly grids of 12 meteorological variables: near-surface (2m) temperature, near surface (2m) dew point temperature, near surface (2m) relative humidity, near surface (2m) vapour pressure, sea level pressure, near-surface (10m) wind speed and wind direction, cloud cover, shortwave direct and global radiation, upward and downward longwave radiation. Input data for the gridding method are the synoptic station data from the DWD MIRAKEL database, supplemented by satellite observations (CM-SAF) and model data (COSMO-CLM).
Resource Type
Dataset/
grid
Spatial Coverage
| Location | Longitude | Latitude |
| Germany | | |
Temporal Coverage
from :
1995-01-01
until:
2012-12-31
Formats
NetCDF
Datasize
600 GB
Data:
related Datasets:
Supplementary infos
General Usage Notes
Terms of use
ChangeLog
ErrorLog