Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany
Abstract Key message: A harmonized, comprehensive meteorological time series for 78 German intensive forest monitoring plots (Level II) has been made available from 1961 to 2019. The used hybrid spatial interpolation routine using simple linear regression and inverse distance weighting allows for ga...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-12-01
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| Series: | Annals of Forest Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13595-022-01167-3 |
| _version_ | 1797977205662285824 |
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| author | Shah Rukh Tobias Schad Maximilian Strer Marco Natkhin Inken Krüger Stephan Raspe Nadine Eickenscheidt Rainer Hentschel Andrea Hölscher Philipp Reiter Tanja G. M. Sanders |
| author_facet | Shah Rukh Tobias Schad Maximilian Strer Marco Natkhin Inken Krüger Stephan Raspe Nadine Eickenscheidt Rainer Hentschel Andrea Hölscher Philipp Reiter Tanja G. M. Sanders |
| author_sort | Shah Rukh |
| collection | DOAJ |
| description | Abstract Key message: A harmonized, comprehensive meteorological time series for 78 German intensive forest monitoring plots (Level II) has been made available from 1961 to 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. The dataset is available at https://www.openagrar.de/receive/openagrar_mods_00079174 . The associated metadata are available at: https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/433a028f-dfc8-4a7c-82af-b8d7efafd724 . |
| first_indexed | 2024-04-11T05:03:14Z |
| format | Article |
| id | doaj.art-88f7474768c34e2489b2ca46c3d81381 |
| institution | Directory Open Access Journal |
| issn | 1286-4560 1297-966X |
| language | English |
| last_indexed | 2024-04-11T05:03:14Z |
| publishDate | 2022-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Annals of Forest Science |
| spelling | doaj.art-88f7474768c34e2489b2ca46c3d813812022-12-25T12:34:38ZengBMCAnnals of Forest Science1286-45601297-966X2022-12-017911710.1186/s13595-022-01167-3Interpolated daily temperature and precipitation data for Level II ICP Forests plots in GermanyShah Rukh0Tobias Schad1Maximilian Strer2Marco Natkhin3Inken Krüger4Stephan Raspe5Nadine Eickenscheidt6Rainer Hentschel7Andrea Hölscher8Philipp Reiter9Tanja G. M. Sanders10Thünen Institute, Institute of Forest EcosystemsThünen Institute, Institute of Forest EcosystemsThünen Institute, Institute of Forest EcosystemsThünen Institute, Institute of Forest EcosystemsThünen Institute, Institute of Forest EcosystemsDepartment of Soil and Climate, Bavarian State Institute of Forestry (LWF)Department of Monitoring and Efficiency Control in Nature and Landscape Conservation, State Office for Nature, Environment and Consumer Protection North Rhine-WestphaliaState Centre of Excellence Eberswalde (LFE), Brandenburg State Office of ForestsDepartment of Soil and Environment, Baden-Württemberg State Institute of ForestryResearch Institute of Forest Ecology and Forestry Rhineland-PalatinateThünen Institute, Institute of Forest EcosystemsAbstract Key message: A harmonized, comprehensive meteorological time series for 78 German intensive forest monitoring plots (Level II) has been made available from 1961 to 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. The dataset is available at https://www.openagrar.de/receive/openagrar_mods_00079174 . The associated metadata are available at: https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/433a028f-dfc8-4a7c-82af-b8d7efafd724 .https://doi.org/10.1186/s13595-022-01167-3Climate dataIntensive forest monitoringLinear regressionInverse distance weightingSpatial interpolationICP Forests Level II |
| spellingShingle | Shah Rukh Tobias Schad Maximilian Strer Marco Natkhin Inken Krüger Stephan Raspe Nadine Eickenscheidt Rainer Hentschel Andrea Hölscher Philipp Reiter Tanja G. M. Sanders Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany Annals of Forest Science Climate data Intensive forest monitoring Linear regression Inverse distance weighting Spatial interpolation ICP Forests Level II |
| title | Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany |
| title_full | Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany |
| title_fullStr | Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany |
| title_full_unstemmed | Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany |
| title_short | Interpolated daily temperature and precipitation data for Level II ICP Forests plots in Germany |
| title_sort | interpolated daily temperature and precipitation data for level ii icp forests plots in germany |
| topic | Climate data Intensive forest monitoring Linear regression Inverse distance weighting Spatial interpolation ICP Forests Level II |
| url | https://doi.org/10.1186/s13595-022-01167-3 |
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