Annual regional averages of precipitation height (annual sum) in mm

Grids are derived from DWD stations and legally and qualitatively equivalent partner stations in Germany run for climatological and climate related applications, considering the height dependencies.

Citation proposal
(2019) . Annual regional averages of precipitation height (annual sum) in mm. https://gdk.gdi-de.org/geonetwork/srv/api/records/de.dwd.klm.cdc.general.RGN_DEU_P1Y_RR

Simple

Date ( Publication ): 2019-01-02

Identifier: https://registry.gdi-de.org/id/de.bund.dwd/de.dwd.klm.cdc.general.RGN_DEU_P1Y_RR

Presentation form: Digital map

Purpose: Die Gebietsmittelwerte dienen der Dokumentation von Klimavariabilitat und Klimawandel in Deutschland und den Bundesländern. Sie werden für den Zeitraum seit Beginn systematischer Beobachtungen bestimmt.

Originator

Deutscher Wetterdienst

Maintenance and update frequency: Annually

Update scope: Dataset

WMO_CategoryCode WMO_CategoryCode ( Discipline )

meteorology

GEMET - INSPIRE themes, version 1.0 ( Theme )

Meteorological geographical features

Keywords ( Theme )

precipitation

Keywords ( Place )

Use limitation: Use constraints: The Ordinance to Determine the Conditions for Use for the Provision of Spatial Data of the Federation ("Verordnung zur Festlegung der Nutzungsbestimmungen für die Bereitstellung von Geodaten des Bundes" - GeoNutzV) shall apply, for details turn to "http://www.geodatenzentrum.de/docpdf/geonutzv_eng.pdf" and "http://www.dwd.de/EN/service/copyright/copyright_artikel.html".

Access constraints: Intellectual property rights

Access constraints: Other restrictions

Use constraints: Other restrictions

Other 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

Distance: 1 km

Metadata language: German

Topic category

Climatology, meteorology, atmosphere

Reference system identifier: EPSG / EPSG:4326

Distribution format

OGC Services and OpenData files (free access) ()

Publisher

Deutscher Wetterdienst

Frankfurter Strasse 135 Offenbach am Main 63067 Bundesrepublik Deutschland

+49 (0) 69 8062-4400

+49 (0) 69 8062-4499

Website: http://www.dwd.de

OnLine resource: WMS Capabilities Dokument für RGN_DEU_P1Y_RR
Access to th GetCapabilities document of the service!

OnLine resource: DWD OpenData-Server: Verzeichnis der Klimareferenzkarten
Directory with the ascii-text data of the annual regional averages for Germany and its federal states on the OpenData-Server of the DWD (free access). Please take note of the locally available dataset descriptions!

OnLine resource: Data preview with the most recent records as json file
Data preview with the most recent records as json file

Hierarchy level: Dataset

Conformance result

Date ( Publication ): 2010-12-08

Explanation: See the referenced specification

Pass: true

Statement

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.

Source