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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Published in:Scientific Data
Main Authors: Bendix Nielsen, Eva, Katurji, Marwan, Zawar-Reza, Peyman, Meyer, Hanna
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2023
Subjects:
Online Access:https://hdl.handle.net/10092/107200
https://doi.org/10.1038/s41597-023-02720-z
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record_format openpolar
spelling ftunivcanter:oai:ir.canterbury.ac.nz:10092/107200 2024-09-09T19:03:32+00:00 Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature Bendix Nielsen, Eva Katurji, Marwan Zawar-Reza, Peyman Meyer, Hanna 2023 application/pdf https://hdl.handle.net/10092/107200 https://doi.org/10.1038/s41597-023-02720-z eng eng Springer Science and Business Media LLC Nielsen EB, Katurji M, Zawar-Reza P, Meyer H (2023). Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature. Scientific Data. 10(1). 833-. 2052-4463 https://hdl.handle.net/10092/107200 http://doi.org/10.1038/s41597-023-02720-z 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/. © The Author(s) 2023 http://hdl.handle.net/10092/17651 37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology 40 - Engineering::4013 - Geomatic engineering::401304 - Photogrammetry and remote sensing Journal Article 2023 ftunivcanter https://doi.org/10.1038/s41597-023-02720-z 2024-06-18T23:58:55Z 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 km2. 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. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Shelves University of Canterbury, Christchurch: UC Research Repository Antarctic Scientific Data 10 1
institution Open Polar
collection University of Canterbury, Christchurch: UC Research Repository
op_collection_id ftunivcanter
language English
topic 37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology
40 - Engineering::4013 - Geomatic engineering::401304 - Photogrammetry and remote sensing
spellingShingle 37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology
40 - Engineering::4013 - Geomatic engineering::401304 - Photogrammetry and remote sensing
Bendix Nielsen, Eva
Katurji, Marwan
Zawar-Reza, Peyman
Meyer, Hanna
Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature
topic_facet 37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology
40 - Engineering::4013 - Geomatic engineering::401304 - Photogrammetry and remote sensing
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 km2. 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 Article in Journal/Newspaper
author Bendix Nielsen, Eva
Katurji, Marwan
Zawar-Reza, Peyman
Meyer, Hanna
author_facet Bendix Nielsen, Eva
Katurji, Marwan
Zawar-Reza, Peyman
Meyer, Hanna
author_sort Bendix Nielsen, Eva
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 Springer Science and Business Media LLC
publishDate 2023
url https://hdl.handle.net/10092/107200
https://doi.org/10.1038/s41597-023-02720-z
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
Ice Shelves
genre_facet Antarc*
Antarctic
Antarctica
Ice Shelves
op_relation Nielsen EB, Katurji M, Zawar-Reza P, Meyer H (2023). Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature. Scientific Data. 10(1). 833-.
2052-4463
https://hdl.handle.net/10092/107200
http://doi.org/10.1038/s41597-023-02720-z
op_rights 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/. © The Author(s) 2023
http://hdl.handle.net/10092/17651
op_doi https://doi.org/10.1038/s41597-023-02720-z
container_title Scientific Data
container_volume 10
container_issue 1
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