Annual regional averages of air temperature (annual mean) in °C (2 m above ground)

The regional averages are derived from the grids of the annual mean of grids of monthly mean of the dail mean air temperature for Germany.

Citation proposal
(2019) . Annual regional averages of air temperature (annual mean) in °C (2 m above ground). https://gdk.gdi-de.org/geonetwork/srv/api/records/de.dwd.klm.cdc.general.RGN_DEU_P1Y_TM

INSPIRE
SDS

INSPIRE

Identification

File identifier: de.dwd.klm.cdc.general.RGN_DEU_P1Y_TM XML

Hierarchy level: Dataset

Online resource

Protocol: OGC:WMS-1.3.0-http-get-capabilities

Protocol: WWW:LINK-1.0-http--link

Protocol: OGC:WFS

Resource identifier

code: https://registry.gdi-de.org/id/de.bund.dwd/de.dwd.klm.cdc.general.RGN_DEU_P1Y_TM

Metadata language: German

Encoding

Format: OGC Services and OpenData files (free access)

Projection

code: EPSG:4326

Classification of data and services

Topic category

Climatology, meteorology, atmosphere

Classification of data and services

Coupled resource

Classification of data and services

Coupled resource

Keywords

GEMET - INSPIRE themes, version 1.0 ( Theme )

Meteorological geographical features

WMO_CategoryCode WMO_CategoryCode ( Discipline )

meteorology

Other keywords

Keywords ( Theme )

air temperature

Keywords ( Place )

Geographic coverage

Temporal reference

Temporal extent

Date ( Publication ): 2019-01-02

Quality and validity

Lineage

The grids for 1961-1990 are based on homogenized station data [Herzog und Müller-Westermeier, 1998]. The 30 year averages were calculated for or each calendar month of the year before the spatial interpolation. The gridding method is based on height regression and Inverse Distance Weight (IDW), seeMüller-Westermeier, 1995: The station density allows for a linear regression between topographic height and climatological parameters within a region, and varies somewhat between the regions in Germany [Maier und Müller-Westermeier, 2010]. The regression coefficients were determined seperately for each month, based on the monthly means recorded 1951-1980.

Using these interpolated regression coefficients, in a first step, the station values are reduced to the reference height and attributed to the grid cells. In case several stations refer to a grid cell, the mean was taken.

In a second step, the values at reference height were interpolated horizontally to cover the grid (weighted with the inverse square distance).

Finally, in a third step, the values at reference height are transformed to values corresponding to the topographic elevation using again the spatially variable regression function. This is done with the DWD digital topographic height model. When grid cells contain a station,the value of the latter is simply interpolated vertically to the height of the grid cell.

Distance: 1 km

Conformity

Explanation: See the referenced specification

Restrictions on access and use

Access constraints

Use constraints: The instructions in "https://opendata.dwd.de/climate_environment/CDC/Terms_of_use.pdf" should be followed. The DWD website provides comprehensive