Bioclimatic atlas of the terrestrial Arctic
Abstract The Arctic is the region on Earth that is warming at the fastest rate. In addition to rising means of temperature-related variables, Arctic ecosystems are affected by increasingly frequent extreme weather events causing disturbance to Arctic ecosystems. Here, we introduce a new dataset of b...
Published in: | Scientific Data |
---|---|
Main Authors: | , , , , , , , |
Other Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2023
|
Subjects: | |
Online Access: | https://hal-u-picardie.archives-ouvertes.fr/hal-03958221 https://doi.org/10.1038/s41597-023-01959-w |
id |
ftunivnantes:oai:HAL:hal-03958221v1 |
---|---|
record_format |
openpolar |
spelling |
ftunivnantes:oai:HAL:hal-03958221v1 2023-05-15T14:33:57+02:00 Bioclimatic atlas of the terrestrial Arctic Rantanen, Mika Kämäräinen, Matti Niittynen, Pekka Phoenix, Gareth Lenoir, Jonathan Maclean, Ilya Luoto, Miska Aalto, Juha Helsingin yliopisto = Helsingfors universitet = University of Helsinki Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN) Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS) University of Exeter 2023-12 https://hal-u-picardie.archives-ouvertes.fr/hal-03958221 https://doi.org/10.1038/s41597-023-01959-w en eng HAL CCSD Nature Publishing Group info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-023-01959-w hal-03958221 https://hal-u-picardie.archives-ouvertes.fr/hal-03958221 doi:10.1038/s41597-023-01959-w ISSN: 2052-4463 EISSN: 2052-4463 Scientific Data https://hal-u-picardie.archives-ouvertes.fr/hal-03958221 Scientific Data , 2023, 10 (1), pp.40. ⟨10.1038/s41597-023-01959-w⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2023 ftunivnantes https://doi.org/10.1038/s41597-023-01959-w 2023-03-08T00:55:07Z Abstract The Arctic is the region on Earth that is warming at the fastest rate. In addition to rising means of temperature-related variables, Arctic ecosystems are affected by increasingly frequent extreme weather events causing disturbance to Arctic ecosystems. Here, we introduce a new dataset of bioclimatic indices relevant for investigating the changes of Arctic terrestrial ecosystems. The dataset, called ARCLIM, consists of several climate and event-type indices for the northern high-latitude land areas > 45°N. The indices are calculated from the hourly ERA5-Land reanalysis data for 1950–2021 in a spatial grid of 0.1 degree (~9 km) resolution. The indices are provided in three subsets: (1) the annual values during 1950–2021; (2) the average conditions for the 1991–2020 climatology; and (3) temporal trends over 1951–2021. The 72-year time series of various climate and event-type indices draws a comprehensive picture of the occurrence and recurrence of extreme weather events and climate variability of the changing Arctic bioclimate. Article in Journal/Newspaper Arctic Université de Nantes: HAL-UNIV-NANTES Arctic Scientific Data 10 1 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Rantanen, Mika Kämäräinen, Matti Niittynen, Pekka Phoenix, Gareth Lenoir, Jonathan Maclean, Ilya Luoto, Miska Aalto, Juha Bioclimatic atlas of the terrestrial Arctic |
topic_facet |
[SDE]Environmental Sciences |
description |
Abstract The Arctic is the region on Earth that is warming at the fastest rate. In addition to rising means of temperature-related variables, Arctic ecosystems are affected by increasingly frequent extreme weather events causing disturbance to Arctic ecosystems. Here, we introduce a new dataset of bioclimatic indices relevant for investigating the changes of Arctic terrestrial ecosystems. The dataset, called ARCLIM, consists of several climate and event-type indices for the northern high-latitude land areas > 45°N. The indices are calculated from the hourly ERA5-Land reanalysis data for 1950–2021 in a spatial grid of 0.1 degree (~9 km) resolution. The indices are provided in three subsets: (1) the annual values during 1950–2021; (2) the average conditions for the 1991–2020 climatology; and (3) temporal trends over 1951–2021. The 72-year time series of various climate and event-type indices draws a comprehensive picture of the occurrence and recurrence of extreme weather events and climate variability of the changing Arctic bioclimate. |
author2 |
Helsingin yliopisto = Helsingfors universitet = University of Helsinki Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN) Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS) University of Exeter |
format |
Article in Journal/Newspaper |
author |
Rantanen, Mika Kämäräinen, Matti Niittynen, Pekka Phoenix, Gareth Lenoir, Jonathan Maclean, Ilya Luoto, Miska Aalto, Juha |
author_facet |
Rantanen, Mika Kämäräinen, Matti Niittynen, Pekka Phoenix, Gareth Lenoir, Jonathan Maclean, Ilya Luoto, Miska Aalto, Juha |
author_sort |
Rantanen, Mika |
title |
Bioclimatic atlas of the terrestrial Arctic |
title_short |
Bioclimatic atlas of the terrestrial Arctic |
title_full |
Bioclimatic atlas of the terrestrial Arctic |
title_fullStr |
Bioclimatic atlas of the terrestrial Arctic |
title_full_unstemmed |
Bioclimatic atlas of the terrestrial Arctic |
title_sort |
bioclimatic atlas of the terrestrial arctic |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal-u-picardie.archives-ouvertes.fr/hal-03958221 https://doi.org/10.1038/s41597-023-01959-w |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ISSN: 2052-4463 EISSN: 2052-4463 Scientific Data https://hal-u-picardie.archives-ouvertes.fr/hal-03958221 Scientific Data , 2023, 10 (1), pp.40. ⟨10.1038/s41597-023-01959-w⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-023-01959-w hal-03958221 https://hal-u-picardie.archives-ouvertes.fr/hal-03958221 doi:10.1038/s41597-023-01959-w |
op_doi |
https://doi.org/10.1038/s41597-023-01959-w |
container_title |
Scientific Data |
container_volume |
10 |
container_issue |
1 |
_version_ |
1766307101515186176 |