Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature
Knowledge about local air temperature variations and extremes in Antarctica is of large interest to many polar disciplines such as climatology, glaciology, hydrology, and ecology and it is a key variable to understand climate change. Due to the remote and harsh conditions of Antarctica’s environment...
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ftpubmed:oai:pubmedcentral.nih.gov:10681983 2023-12-31T09:59:24+01:00 Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature Nielsen, Eva Bendix Katurji, Marwan Zawar-Reza, Peyman Meyer, Hanna 2023-11-27 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681983/ http://www.ncbi.nlm.nih.gov/pubmed/38012190 https://doi.org/10.1038/s41597-023-02720-z en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681983/ http://www.ncbi.nlm.nih.gov/pubmed/38012190 http://dx.doi.org/10.1038/s41597-023-02720-z © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . Sci Data Data Descriptor Text 2023 ftpubmed https://doi.org/10.1038/s41597-023-02720-z 2023-12-03T01:57:46Z Knowledge about local air temperature variations and extremes in Antarctica is of large interest to many polar disciplines such as climatology, glaciology, hydrology, and ecology and it is a key variable to understand climate change. Due to the remote and harsh conditions of Antarctica’s environment, the distribution of air temperature observations from Automatic Weather Stations is notably sparse across the region. Previous studies have shown that satellite-derived land and ice surface temperatures can be used as a suitable proxy for air temperature. Here, we developed a daily near-surface air temperature dataset, AntAir ICE for terrestrial Antarctica and the surrounding ice shelves by modelling air temperature from MODIS skin temperature for the period 2003 to 2021 using a linear model. AntAir ICE has a daily temporal resolution and a gridded spatial resolution of 1 km(2). AntAir ICE has a higher accuracy in reproducing in-situ measured air temperature when compared with the well-established climate re-analysis model ERA5 and a higher spatial resolution which highlights its potential for monitoring temperature patterns in Antarctica. Text Antarc* Antarctic Antarctica Ice Shelves PubMed Central (PMC) Scientific Data 10 1 |
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Data Descriptor Nielsen, Eva Bendix Katurji, Marwan Zawar-Reza, Peyman Meyer, Hanna Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature |
topic_facet |
Data Descriptor |
description |
Knowledge about local air temperature variations and extremes in Antarctica is of large interest to many polar disciplines such as climatology, glaciology, hydrology, and ecology and it is a key variable to understand climate change. Due to the remote and harsh conditions of Antarctica’s environment, the distribution of air temperature observations from Automatic Weather Stations is notably sparse across the region. Previous studies have shown that satellite-derived land and ice surface temperatures can be used as a suitable proxy for air temperature. Here, we developed a daily near-surface air temperature dataset, AntAir ICE for terrestrial Antarctica and the surrounding ice shelves by modelling air temperature from MODIS skin temperature for the period 2003 to 2021 using a linear model. AntAir ICE has a daily temporal resolution and a gridded spatial resolution of 1 km(2). AntAir ICE has a higher accuracy in reproducing in-situ measured air temperature when compared with the well-established climate re-analysis model ERA5 and a higher spatial resolution which highlights its potential for monitoring temperature patterns in Antarctica. |
format |
Text |
author |
Nielsen, Eva Bendix Katurji, Marwan Zawar-Reza, Peyman Meyer, Hanna |
author_facet |
Nielsen, Eva Bendix Katurji, Marwan Zawar-Reza, Peyman Meyer, Hanna |
author_sort |
Nielsen, Eva Bendix |
title |
Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature |
title_short |
Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature |
title_full |
Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature |
title_fullStr |
Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature |
title_full_unstemmed |
Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature |
title_sort |
antarctic daily mesoscale air temperature dataset derived from modis land and ice surface temperature |
publisher |
Nature Publishing Group UK |
publishDate |
2023 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681983/ http://www.ncbi.nlm.nih.gov/pubmed/38012190 https://doi.org/10.1038/s41597-023-02720-z |
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Antarc* Antarctic Antarctica Ice Shelves |
genre_facet |
Antarc* Antarctic Antarctica Ice Shelves |
op_source |
Sci Data |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681983/ http://www.ncbi.nlm.nih.gov/pubmed/38012190 http://dx.doi.org/10.1038/s41597-023-02720-z |
op_rights |
© The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
op_doi |
https://doi.org/10.1038/s41597-023-02720-z |
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