CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum

High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time ste...

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Main Authors: Karger, Dirk Nikolaus, Nobis, Michael P., Normand, Signe, Graham, Catherine H., Zimmermann, Niklaus E.
Format: Text
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/cp-2021-30
https://cp.copernicus.org/preprints/cp-2021-30/
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spelling ftcopernicus:oai:publications.copernicus.org:cpd93526 2023-05-15T16:21:30+02:00 CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum Karger, Dirk Nikolaus Nobis, Michael P. Normand, Signe Graham, Catherine H. Zimmermann, Niklaus E. 2021-05-03 application/pdf https://doi.org/10.5194/cp-2021-30 https://cp.copernicus.org/preprints/cp-2021-30/ eng eng doi:10.5194/cp-2021-30 https://cp.copernicus.org/preprints/cp-2021-30/ eISSN: 1814-9332 Text 2021 ftcopernicus https://doi.org/10.5194/cp-2021-30 2021-05-10T16:22:16Z High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm. The data were validated by comparisons with the glacial extent of the Laurentide ice shield based on expert delineations, proxy data from Greenland ice cores, historical climate data from meteorological stations, and a dynamic simulation of species a distribution throughout the Holocene. Validations show that CHELSA TraCE21k output creates a reasonable representation of the distribution of temperature and precipitation through time at a high spatial resolution, and simulations based on the data are capable of detecting effective LGM refugia of species. Text glacier Greenland Greenland ice cores Ice Sheet Copernicus Publications: E-Journals Greenland
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm. The data were validated by comparisons with the glacial extent of the Laurentide ice shield based on expert delineations, proxy data from Greenland ice cores, historical climate data from meteorological stations, and a dynamic simulation of species a distribution throughout the Holocene. Validations show that CHELSA TraCE21k output creates a reasonable representation of the distribution of temperature and precipitation through time at a high spatial resolution, and simulations based on the data are capable of detecting effective LGM refugia of species.
format Text
author Karger, Dirk Nikolaus
Nobis, Michael P.
Normand, Signe
Graham, Catherine H.
Zimmermann, Niklaus E.
spellingShingle Karger, Dirk Nikolaus
Nobis, Michael P.
Normand, Signe
Graham, Catherine H.
Zimmermann, Niklaus E.
CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum
author_facet Karger, Dirk Nikolaus
Nobis, Michael P.
Normand, Signe
Graham, Catherine H.
Zimmermann, Niklaus E.
author_sort Karger, Dirk Nikolaus
title CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum
title_short CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum
title_full CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum
title_fullStr CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum
title_full_unstemmed CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum
title_sort chelsa-trace21k v1.0. downscaled transient temperature and precipitation data since the last glacial maximum
publishDate 2021
url https://doi.org/10.5194/cp-2021-30
https://cp.copernicus.org/preprints/cp-2021-30/
geographic Greenland
geographic_facet Greenland
genre glacier
Greenland
Greenland ice cores
Ice Sheet
genre_facet glacier
Greenland
Greenland ice cores
Ice Sheet
op_source eISSN: 1814-9332
op_relation doi:10.5194/cp-2021-30
https://cp.copernicus.org/preprints/cp-2021-30/
op_doi https://doi.org/10.5194/cp-2021-30
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