Raster data set of multi annual sums of precipitation in mm for Germany - HYRAS-DE-PRE
These grids are a product derived from HYRAS-DE-PRE. HYRAS-DE-PRE is a precipitation product for Germany in a 1 km x 1 km grid for the period 1931 to the previous day and is based on daily measured values of precipitation height. 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
-
urn:x-wmo:md:de.dwd.cdc::GRD_DEU_P30Y_RR_HYRAS-DE
- Date (Publication)
- 2022
- Edition
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v5.0
- Edition date
- 2024
- Citation identifier
-
urn:x-wmo:md:de.dwd.cdc::GRD_DEU_P30Y_RR_HYRAS-DE
CDC2.1:WMO-URN CDC2.1:WMO-URN urn:x-wmo:md:de.dwd.cdc::GRD_DEU_P30Y_RR_HYRAS-DE 2022
+49 (0) 69 8062-4162
www.dwd.de
- Presentation form
- Digital map
- Presentation form
- Digital table
- Status
- Completed
+ 49 (0) 69 8062-4499
dwd.de
https://dwd.de
- Hours of service
-
09:00 - 16:00
- Maintenance and update frequency
- Daily
- Update scope
- Dataset
- Maintenance note
-
The DWD reserves the right to update or provide a new version of the data set at its own discretion.
https://dwd.de
- Hours of service
-
09:00 - 16:00
-
INSPIRE - Spatial scope
-
-
National
-
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DWD Climate Data Center Vocabulary - Datenherkunft
-
-
grids
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DWD Climate Data Center Vocabulary - Parameterklasse
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precipitation
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DWD Climate Data Center Vocabulary - Parameter
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precipitation height
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DWD Climate Data Center Vocabulary - Einheit
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mm
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DWD Climate Data Center Vocabulary - Statistische Bearbeitung
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multi-annual averages
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- Keywords
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opendata
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DWD Climate Data Center Vocabulary - Geoserver Dimension: Zeit
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30 years
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- Specific usage
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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.
- User determined limitations
- uncertainties
+ 49 (0) 69 8062-4499
https://dwd.de
- Hours of service
-
09:00 - 16:00
- User determined limitations
- considerations
+ 49 (0) 69 8062-4499
https://dwd.de
- Hours of service
-
09:00 - 16:00
- Access constraints
- Other restrictions
- Other constraints
- no Limitations
- Use constraints
- Other restrictions
- Other constraints
- The Creative Commons BY 4.0 - Licence 'CC BY 4.0' apply.
Resource constraints
Resource constraints
Resource constraints
Resource constraints
Resource constraints
Aggregation Information
- Spatial representation type
- Grid
- Language
- Deutsch
- Topic category
-
- Climatology, meteorology, atmosphere
- Geoscientific information
- Geographic identifier
- Germany
- Begin date
- 1951-01-01
- End date
- 2020-12-31
- Unique resource identifier
- EPSG:3034
- Number of dimensions
- 3
- Dimension name
- Row
- Dimension size
- 1100
- Resolution
- 1 km
- Dimension name
- Column
- Dimension size
- 1200
- Resolution
- 1 km
- Dimension name
- Time
- Resolution
- 1 day
- Cell geometry
- Area
- Distribution format
-
-
OGC Services and OpenData files (free access)
(
)
-
OGC Services and OpenData files (free access)
(
)
https://dwd.de
- Hours of service
-
10:00 - 15:00 ME(S)Z
- OnLine resource
- Rauthe, M., Steiner, H., Riediger, U., Mazurkiewicz, A., Gratzki, A., 2013: A Central European precipitation climatology – Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS) Meteorologische Zeitschrift Vol. 22 No. 3, p. 235 – 256, 2013 ( WWW:LINK-1.0-http--link )
- OnLine resource
-
pr_hyras_*_v5-0_de_*.nc
(
WWW:LINK-1.0-http--link
)
The grids are written to a NetCDF file. The file of the current year is extended every day. The name of the NetCDF file is defined as follows: parameter_productname_resolution(in km)_periode_version_region_timescale.nc (e.g. pr_hyras_1_1991_2020_v5-0_de_APR.nc)
- 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
-
The interpolation is based on the daily measured values of the precipitation height (6UTC - 6UTC of the following day). The daily updates measurements do not undergo a complete quality control. These measured values are initially only checked for threshold values and a simple grid control is performed. At the beginning and middle of each month, the previous month is recalculated and overwritten with quality-controlled measurements to ensure high quality of the raster data.
The method for regionalizing observed daily precipitation heights is essentially based on the interpolation of anomalies with respect to long-term mean values (background field). The monthly background fields are determined by a multiple linear regression, in which mean monthly station measurement from the period 1971-2000, longitude and latitude, height above sea level and direction and amount of exposure are used as input variables. The station measurements used to determine the background field undergo a quality control. To calculate the daily grids, anomalies are calculated from the station data and these are interpolated, distance weighted, to unoccupied grid centers using the four closest stations to the grid point.
- File identifier
- urn:x-wmo:md:de.dwd.cdc::GRD_DEU_P30Y_RR_HYRAS-DE XML
- Metadata language
- Deutsch
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-07-24T05:40:24
- 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
+49 (0) 69 8062-4162
www.dwd.de
https://dwd.de
- Hours of service
-
09:00 - 16:00
- Dataset URI
-
urn:x-wmo:md:de.dwd.cdc::GRD_DEU_P30Y_RR_HYRAS-DE
Overviews
Spatial extent
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