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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

Providing a continuous, harmonized long-term meteorological time series for German intensive forest monitoring plots (Level II)

Status
Completed
Point of contact
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

shah.rukh@thuenen.de

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

tobias.schad@thuenen.de

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

maximilian.strer@thuenen.de

Author
Theme
  • Climate data/intensive forest monitoring/linear regression/Inverse Distance Weighting/spatial interpolation/ICP Forests level II

GEMET inspire themes - version 1.0

  • Germany

Place
  • Germany

Discipline
  • -

Use limitation

Attribution 4.0 International (CC BY 4.0)

Access constraints
Other restrictions
Language

English

Begin date
1961-01-01
End date
2019-12-31

Vertical extent

N
S
E
W
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Codespace

EPSG

Version

7.4

Distribution format
Name Version
OnLine resource
Protocol Linkage Name
https://www.openagrar.de/receive/openagrar_mods_00079174

Open Agrar

WWW:DOWNLOAD-1.0-http--download

https://geodata.inrae.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

eng

Character set
UTF8
Hierarchy level
Dataset
Date stamp
2022-12-01T09:48:00
Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

Metadata author
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

shah.rukh@thuenen.de

Author

Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Faculty of Forest Sciences and Forest Ecology

Tobias Schad

tobias.schad@thuenen.de

Author

Thünen-Institute/ Institute of Forest Ecosystems – University of Göttingen/ Faculty of Forest Sciences and Forest Ecology

Maximilian Strer

maximilian.strer@thuenen.de

Author
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

- Climate data/intensive forest monitoring/linear regression/Inverse Distance Weighting/spatial interpolation/ICP Forests level II

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