Interpolated Daily Temperature and Precipitation Data for Level II ICP Forests Plots in Germany
A harmonized, comprehensive meteorological time series for 78 German intensive forest monitoring plots (Level II) has been made available from 1961-2019. The used hybrid spatial interpolation routine using simple linear regression and inverse distance weighting allows for gap-filling of missing data and also for extrapolation outside measurement period to analyze long-term effects of climate on forest ecosystems.
Simple
- Date (Creation)
- 2022-05-05T23:00:00
- Presentation form
- numeric table
- Purpose
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Providing a continuous, harmonized long-term meteorological time series for German intensive forest monitoring plots (Level II)
- Status
- Completed
- Point of contact
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Organisation name Individual name Electronic mail address Role Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Silviculture and Forest Ecology of the Temperate Zones - Faculty of Forest Sciences and Forest Ecology
Shah Rukh
Author Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Silviculture and Forest Ecology of the Temperate Zones - Faculty of Forest Sciences and Forest Ecology
Tobias Schad
Author Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Silviculture and Forest Ecology of the Temperate Zones - Faculty of Forest Sciences and Forest Ecology
Maximilian Strer
Author
- Theme
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Climate data/intensive forest monitoring/linear regression/Inverse Distance Weighting/spatial interpolation/ICP Forests level II
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GEMET inspire themes - version 1.0
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Germany
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- Place
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Germany
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- Discipline
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- Use limitation
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Attribution 4.0 International (CC BY 4.0)
- Access constraints
- Other restrictions
- Language
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English
- Begin date
- 1961-01-01
- End date
- 2019-12-31
Vertical extent
- Codespace
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EPSG
- Version
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7.4
- Distribution format
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Name Version
- OnLine resource
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Protocol Linkage Name https://www.openagrar.de/receive/openagrar_mods_00079174 Open Agrar
WWW:DOWNLOAD-1.0-http--download
https://agroenvgeo.data.inra.fr/geonetwork/srv/api/records/433a028f-dfc8-4a7c-82af-b8d7efafd724/attachments/original_file_metadata.xlsx Original File Metadata
- Hierarchy level
- Dataset
Metadata
- File identifier
- 433a028f-dfc8-4a7c-82af-b8d7efafd724 XML
- Metadata language
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eng
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2022-12-01T09:48:00
- Metadata standard name
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ISO 19115:2003/19139
- Metadata standard version
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1.0
- Metadata author
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Organisation name Individual name Electronic mail address Role Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Faculty of Forest Sciences and Forest Ecology
Shah Rukh
Author Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Faculty of Forest Sciences and Forest Ecology
Tobias Schad
Author Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Faculty of Forest Sciences and Forest Ecology
Maximilian Strer
Author