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Raster data set of minimum temperature in °C for Germany - HYRAS-DE-TASMIN

HYRAS-DE-TASMIN is a temperature product for Germany in a 1 km x 1 km grid for the period 1951 to the previous day and is based on daily measured minimum values of temperature. The data set can be used, for example, for the analysis of past climate, for bias adjustment of regionalized climate projection data and as input data for hydrological modeling.

Simple

Alternate title

HYRAS-DE-TASMIN

Date (Creation)
2024
Edition

v6.0

Edition date
2024-10-31
Citation identifier
urn:wmo:md:de-dwd-cdc:6c41caba-7e17-4efe-8987-1e4762947d80

CDC2.1:WMO-URN CDC2.1:WMO-URN urn:wmo:md:de-dwd-cdc:6c41caba-7e17-4efe-8987-1e4762947d80 2024

Presentation form
Digital map
Presentation form
Digital table
Status
On going
Point of contact
  Deutscher Wetterdienst - CDC - Vertrieb Klima und Umwelt
Frankfurter Strasse 135 , Offenbach , Hessen , 63067 , Deutschland
+ 49 (0) 69 8062-4400
+ 49 (0) 69 8062-4499
https://dwd.de
Hours of service

09:00 - 16:00

Point of contact

No information provided.
Maintenance and update frequency
As needed
Update scope
Dataset
Maintenance note

The data is extended every day. It should be noted that at the beginning and middle of each month, the previous month is recalculated with

quality-controlled measurements and the data of the current year is overwritten.

To improve quality, station data from neighboring countries is also taken into account where available. This currently applies from 1951-2020.

The DWD reserves the right to update or provide a new version of the data set at its own discretion.

Point of contact
  Deutscher Wetterdienst - Climate Data Center (CDC) - Betrieb
Frankfurter Strasse 135 , Offenbach , Hessen , 63067 , Deutschland
+ 49 (0) 69 8062-4400
https://dwd.de
Hours of service

09:00 - 16:00

INSPIRE - Spatial scope

  • National

DWD Climate Data Center Vocabulary - Datenherkunft

  • grids

DWD Climate Data Center Vocabulary - Parameterklasse

  • temperature

DWD Climate Data Center Vocabulary - Parameter

  • air temperature at 2 m

DWD Climate Data Center Vocabulary - Einheit

  • °C

DWD Climate Data Center Vocabulary - Statistische Bearbeitung

  • daily min

  • monthly means of daily means

  • multi-annual averages

High-value dataset categories
  • Meteorological
Keywords
  • opendata

GEMET - INSPIRE themes, version 1.0

  • Meteorological geographical features

  • Atmospheric conditions

DWD Climate Data Center Vocabulary - Geoserver Dimension: Zeit

  • 24 hours

  • 1 month

  • 30 years

Specific usage

Uncertainties may result from the interpolation method used. Incorrect measurements also result in uncertainties in the grid field. For the interpolation of the grids, a different number of stations were used over time, as the measurement network has changed. This must be considered when comparing different years. Please also note the recommendations on uncertainties and interpretation of grid points of station-based grid data https://opendata.dwd.de/climate_environment/CDC/help/Empfehlungen_Gitterdaten_DACH.pdf

User determined limitations
uncertainties
User determined limitations
considerations
Access constraints
Other restrictions
Other constraints
no Limitations
Use constraints
Other restrictions
Other constraints
{'id': 'cc-by/4.0','name': 'Creative Commons Attribution – 4.0 International (CC BY 4.0)','url': 'http://creativecommons.org/licenses/by/4.0/','source': 'Source: [Deutscher Wetterdienst](https://www.dwd.de/copyright)'}
Other constraints
The Creative Commons BY 4.0 - Licence 'CC BY 4.0' apply.

Aggregation Information

No information provided.
Spatial representation type
Grid
Language
Deutsch
Topic category
  • Climatology, meteorology, atmosphere
  • Geoscientific information
N
S
E
W
thumbnail


Geographic identifier
Germany
Begin date
1951-01-01
End date
-P1D Now
Unique resource identifier
EPSG:3035
Number of dimensions
3
Dimension name
Row
Dimension size
1200
Resolution
1  km
Dimension name
Column
Dimension size
1100
Resolution
1  km
Dimension name
Time
Resolution
1  day
Cell geometry
Area
Distribution format
  • OGC Services and OpenData files (free access) ( )

  • netcdf ( )

Point of contact
  Deutscher Wetterdienst - CDC - Vertrieb Klima und Umwelt
Frankfurter Strasse 135 , Offenbach , Hessen , 63067 , Deutschland
+ 49 (0) 69 8062-4400
+ 49 (0) 69 8062-4499
https://dwd.de
Hours of service

09:00 - 16:00

OnLine resource
Razafimaharo, C., Krähenmann, S., Höpp, Rauthe, M., Deutschländer, T. (2020): New high-resolution gridded dataset of daily mean, minimum, and maximum temperature and relative humidity for Central Europe (HYRAS). Theor Appl Climatol 142, 1531–1553 ( WWW:LINK-1.0-http--link )
OnLine resource
tasmin_hyras_1_*_v6-0_de.nc (daily) ( WWW:LINK-1.0-http--download )

The grids are written to a NetCDF file. The name of the NetCDF file is defined as follows: parameter_productname_resolution(in km)_year_version_region.nc (e.g. tasmin_hyras_1_2020_v6-0_de.nc)

OnLine resource
tasmin_hyras_1_*_v6-0_de_monmean.nc (monthly) ( WWW:LINK-1.0-http--download )

The grids are written to a NetCDF file. The monthly data is formed as a time average from the daily data. The name of the NetCDF file is formed as follows: parameter_product_name_resolution(in km)_year_version_region_monmean.nc (e.g. tasmin_hyras_1_2020_v6-0_de_monmean.nc)

OnLine resource
tasmin _hyras_1_*_v6-0_de_*.nc (multiannual) ( WWW:LINK-1.0-http--download )

The grids are written to a NetCDF file. The multi-year averages are formed from monthly averages (according to WMO regulations) of the corresponding time period (individual months or season) of the specified reference period. The name of the NetCDF file is formed as follows: parameter_product_name_resolution(in km)_climate_reference_period_version_region_averaging_period.nc (e.g. tasmin_hyras_1_1961-1990_v6-0_de_AUG.nc)

OnLine resource
WMO Guidelines on the Calculation of Climate Normals ( WWW:LINK-1.0-http--link )
OnLine resource
Eiselt K-U, Kaspar F, Mölg T, Krähenmann S, Posada R, Riede J (2017) Evaluation of gridding procedures for air temperature over Southern Africa. Adv Sci Res 14:163–173. ( WWW:LINK-1.0-http--link )
OnLine resource
Recommendation for raster data ( WWW:LINK-1.0-http--link )

DACH recommendations on uncertainties and interpretation of grid point values of station-based gridded data

OnLine resource
Krähenmann S, Walter A, Brienen S, Imbery F, Matzarakis A (2018) High-resolution grids of hourly meteorological variables for Germany. Theor Appl Climatol 131:899–926. ( WWW:LINK-1.0-http--link )
Hierarchy level
Dataset

Conformance result

Date (Publication)
2010-12-08
Pass
Yes

Conceptual consistency

Name of measure
quality_estimation

Conformance result

Explanation

see Rauthe et al., 2013.

Pass
Yes
Statement

Temperature (TAS, TASMIN, TASMAX) and relative humidity (HURS) are based on a combination of nonlinear temperature profiles with non-Euclidean residual interpolation (Krähenmann et al., 2019). The creation of the background field is based on a nonlinear regression at each time step (estimation of regional vertical profiles for 13 subregions subdivided based on weather divides, coastal distance and north-south extent). This also allows temperature inversions to be taken into account. Cold pole stations were identified separately for each time step and excluded for the profile determination. For the residual interpolation, a 5-dimensional inverse distance weighting (5D-IDW cf. Eiselt et al., 2017) is applied, which depends on the geographical longitude and latitude, altitude, coastal distance and heat island effect. For the interpolation of the minimum (TASMIN) and maximum (TASMAX) temperature, the deviations between extreme temperature and mean temperature are interpolated (non-linear regression + residual interpolation) as in TAS and then added to the mean temperature field. This ensures the consistency of the temperature fields with each other (TASMIN <= TAS <= TASMAX). For the interpolation of the relative humidity, the temperature station data was first converted into the dew point temperature and then interpolated in the same way as the temperature data and finally calculated back into the relative humidity using the temperature grid data. During the interpolation, it is ensured afterwards that a maximum humidity of 100 % is achieved.

File identifier
urn:wmo:md:de-dwd-cdc:6c41caba-7e17-4efe-8987-1e4762947d80 XML
Metadata language
Deutsch
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2025-11-05T20:04:04
Metadata standard name

ISO 19115-2 Geographic information Metadata Part 2: Extensions for imagery and gridded data

Metadata standard version

ISO 19115-2:2009-02-15

Point of contact
  Deutscher Wetterdienst - CDC - Vertrieb Klima und Umwelt
Frankfurter Strasse 135 , Offenbach , Hessen , 63067 , Deutschland
+ 49 (0) 69 8062-4400
+ 49 (0) 69 8062-4499
https://dwd.de
Hours of service

09:00 - 16:00

Metadata author

No information provided.

Metadata author

No information provided.
Dataset URI

urn:wmo:md:de-dwd-cdc:6c41caba-7e17-4efe-8987-1e4762947d80

 
 

Overviews

overview

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Atmospheric conditions Meteorological geographical features

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