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GHWR, a multi-method global heatwave and warm-spell record and toolbox

Heatwaves are extended periods of unusually high temperatures with significant societal and environmental impacts. Despite their significance, there is not a generalized definition for heatwaves. In this paper, we introduce a multi-method global heatwave and warm-spell data record and analysis toolb...

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Autores principales: Raei, Ehsan, Nikoo, Mohammad Reza, AghaKouchak, Amir, Mazdiyasni, Omid, Sadegh, Mojtaba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207177/
https://www.ncbi.nlm.nih.gov/pubmed/30376556
http://dx.doi.org/10.1038/sdata.2018.206
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author Raei, Ehsan
Nikoo, Mohammad Reza
AghaKouchak, Amir
Mazdiyasni, Omid
Sadegh, Mojtaba
author_facet Raei, Ehsan
Nikoo, Mohammad Reza
AghaKouchak, Amir
Mazdiyasni, Omid
Sadegh, Mojtaba
author_sort Raei, Ehsan
collection PubMed
description Heatwaves are extended periods of unusually high temperatures with significant societal and environmental impacts. Despite their significance, there is not a generalized definition for heatwaves. In this paper, we introduce a multi-method global heatwave and warm-spell data record and analysis toolbox (named GHWR). In addition to a comprehensive long-term global data record of heatwaves, GHWR allows processing and extracting heatwave records for any location efficiently. We use traditional constant temperature threshold methods, as well as spatially and temporally localized threshold approaches to identify heatwaves. GHWR includes binary (0/1) occurrence records of heatwaves/warm-spells, and annual summary files with detailed information on their frequency, duration, magnitude and amplitude. GHWR also introduces the standardized heat index (SHI) as a generalized statistical metric to identify heatwave/warm-spells. SHI has direct association with the probability distribution function of long-term daily temperatures for any given calendar day and spatial grid. Finally, GHWR offers a unique opportunity for users to select the type of heatwave/warm-spell information from a plethora of methods based on their needs and applications.
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spelling pubmed-62071772018-11-06 GHWR, a multi-method global heatwave and warm-spell record and toolbox Raei, Ehsan Nikoo, Mohammad Reza AghaKouchak, Amir Mazdiyasni, Omid Sadegh, Mojtaba Sci Data Data Descriptor Heatwaves are extended periods of unusually high temperatures with significant societal and environmental impacts. Despite their significance, there is not a generalized definition for heatwaves. In this paper, we introduce a multi-method global heatwave and warm-spell data record and analysis toolbox (named GHWR). In addition to a comprehensive long-term global data record of heatwaves, GHWR allows processing and extracting heatwave records for any location efficiently. We use traditional constant temperature threshold methods, as well as spatially and temporally localized threshold approaches to identify heatwaves. GHWR includes binary (0/1) occurrence records of heatwaves/warm-spells, and annual summary files with detailed information on their frequency, duration, magnitude and amplitude. GHWR also introduces the standardized heat index (SHI) as a generalized statistical metric to identify heatwave/warm-spells. SHI has direct association with the probability distribution function of long-term daily temperatures for any given calendar day and spatial grid. Finally, GHWR offers a unique opportunity for users to select the type of heatwave/warm-spell information from a plethora of methods based on their needs and applications. Nature Publishing Group 2018-10-30 /pmc/articles/PMC6207177/ /pubmed/30376556 http://dx.doi.org/10.1038/sdata.2018.206 Text en Copyright © 2018, The Author(s) http://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 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 made available in this article.
spellingShingle Data Descriptor
Raei, Ehsan
Nikoo, Mohammad Reza
AghaKouchak, Amir
Mazdiyasni, Omid
Sadegh, Mojtaba
GHWR, a multi-method global heatwave and warm-spell record and toolbox
title GHWR, a multi-method global heatwave and warm-spell record and toolbox
title_full GHWR, a multi-method global heatwave and warm-spell record and toolbox
title_fullStr GHWR, a multi-method global heatwave and warm-spell record and toolbox
title_full_unstemmed GHWR, a multi-method global heatwave and warm-spell record and toolbox
title_short GHWR, a multi-method global heatwave and warm-spell record and toolbox
title_sort ghwr, a multi-method global heatwave and warm-spell record and toolbox
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207177/
https://www.ncbi.nlm.nih.gov/pubmed/30376556
http://dx.doi.org/10.1038/sdata.2018.206
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