High-resolution monthly precipitation and temperature time series from 2006 to 2100

Predicting future climatic conditions at high spatial resolution is essential for many applications and impact studies in science. Here, we present monthly time series data on precipitation, minimum- and maximum temperature for four downscaled global circulation models. We used model output statisti...

Descripción completa

Detalles Bibliográficos
Autores principales: Karger, Dirk Nikolaus, Schmatz, Dirk R., Dettling, Gabriel, Zimmermann, Niklaus E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378208/
https://www.ncbi.nlm.nih.gov/pubmed/32703947
http://dx.doi.org/10.1038/s41597-020-00587-y
_version_ 1783562365792419840
author Karger, Dirk Nikolaus
Schmatz, Dirk R.
Dettling, Gabriel
Zimmermann, Niklaus E.
author_facet Karger, Dirk Nikolaus
Schmatz, Dirk R.
Dettling, Gabriel
Zimmermann, Niklaus E.
author_sort Karger, Dirk Nikolaus
collection PubMed
description Predicting future climatic conditions at high spatial resolution is essential for many applications and impact studies in science. Here, we present monthly time series data on precipitation, minimum- and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation at ~5 km spatial resolution globally for the years 2006–2100. We validated the performance of the downscaling algorithm by comparing model output with the observed climate of the historical period 1950–1969.
format Online
Article
Text
id pubmed-7378208
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-73782082020-07-24 High-resolution monthly precipitation and temperature time series from 2006 to 2100 Karger, Dirk Nikolaus Schmatz, Dirk R. Dettling, Gabriel Zimmermann, Niklaus E. Sci Data Data Descriptor Predicting future climatic conditions at high spatial resolution is essential for many applications and impact studies in science. Here, we present monthly time series data on precipitation, minimum- and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation at ~5 km spatial resolution globally for the years 2006–2100. We validated the performance of the downscaling algorithm by comparing model output with the observed climate of the historical period 1950–1969. Nature Publishing Group UK 2020-07-23 /pmc/articles/PMC7378208/ /pubmed/32703947 http://dx.doi.org/10.1038/s41597-020-00587-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Karger, Dirk Nikolaus
Schmatz, Dirk R.
Dettling, Gabriel
Zimmermann, Niklaus E.
High-resolution monthly precipitation and temperature time series from 2006 to 2100
title High-resolution monthly precipitation and temperature time series from 2006 to 2100
title_full High-resolution monthly precipitation and temperature time series from 2006 to 2100
title_fullStr High-resolution monthly precipitation and temperature time series from 2006 to 2100
title_full_unstemmed High-resolution monthly precipitation and temperature time series from 2006 to 2100
title_short High-resolution monthly precipitation and temperature time series from 2006 to 2100
title_sort high-resolution monthly precipitation and temperature time series from 2006 to 2100
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378208/
https://www.ncbi.nlm.nih.gov/pubmed/32703947
http://dx.doi.org/10.1038/s41597-020-00587-y
work_keys_str_mv AT kargerdirknikolaus highresolutionmonthlyprecipitationandtemperaturetimeseriesfrom2006to2100
AT schmatzdirkr highresolutionmonthlyprecipitationandtemperaturetimeseriesfrom2006to2100
AT dettlinggabriel highresolutionmonthlyprecipitationandtemperaturetimeseriesfrom2006to2100
AT zimmermannniklause highresolutionmonthlyprecipitationandtemperaturetimeseriesfrom2006to2100

Ejemplares similares