The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters

Abstract Extreme high temperature (EHT) events have caused serious impact on society. In previous research, EHT indices seldom consider spatial aggregation. To conduct the comprehensive evaluation, the global EHT days from 1979 to 2017 have been evaluated in terms of high temperature duration, accum...

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Published in:Earth and Space Science
Main Authors: Ting Zhang, Changxiu Cheng, Changqing Song
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2021
Subjects:
Online Access:https://doi.org/10.1029/2020EA001282
https://doaj.org/article/c3015a0f4fe84c728622d84761d8b031
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spelling ftdoajarticles:oai:doaj.org/article:c3015a0f4fe84c728622d84761d8b031 2023-05-15T13:33:01+02:00 The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters Ting Zhang Changxiu Cheng Changqing Song 2021-02-01T00:00:00Z https://doi.org/10.1029/2020EA001282 https://doaj.org/article/c3015a0f4fe84c728622d84761d8b031 EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2020EA001282 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2020EA001282 https://doaj.org/article/c3015a0f4fe84c728622d84761d8b031 Earth and Space Science, Vol 8, Iss 2, Pp n/a-n/a (2021) Critical time node detection extreme high temperature spatial transformation process spatiotemporal clusters spatiotemporal distribution Astronomy QB1-991 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.1029/2020EA001282 2022-12-31T13:14:53Z Abstract Extreme high temperature (EHT) events have caused serious impact on society. In previous research, EHT indices seldom consider spatial aggregation. To conduct the comprehensive evaluation, the global EHT days from 1979 to 2017 have been evaluated in terms of high temperature duration, accumulative temperature intensities and magnitude of spatial aggregation based on ERA‐Interim 2 m air temperature data set. In addition, abnormal warming of polar and ocean surfaces has rarely been addressed in global‐scale studies. To address this deficiency, the indices of EHT days are normalized by maximum in history for each location. To solve the time discontinuity problem on EHT spatiotemporal distribution in previous studies, we utilized spatiotemporal scan statistics to detect EHT spatiotemporal clusters (EHT‐STCs), and clusters correspond to a certain spatiotemporal extent where the EHT events are aggregated. This method actualizes time‐continuous and spatiotemporal integral detection. The results show the following: 1. There are apparent changes in EHT‐STC spatial distribution after 1999, so 1999 can be recognized as the critical time node of EHT‐STC spatial transformation. 2. After 1999, the EHT‐STC number gradually increased, and the duration and spatial coverage of EHT‐STC gradually expanded. Overall, EHT‐STCs display a significant northward migration, with an average northward movement of 7.03° for each transition from 1979 to 2017. 3. There are differences in the extremity and transformation process in different regions. EHT‐STCs in Antarctica are concentrated before 1992, with the strongest EHT extremity; EHT‐STCs in the Arctic and middle‐low latitude continents are concentrated after 2010 and 1999 respectively, both with a strong EHT extremity. There is a similar EHT‐STC number in the middle‐low latitude ocean before and after 1999 with the weakest extremity. These results contribute to determining EHT causes and future trends in global climate change. Article in Journal/Newspaper Antarc* Antarctica Arctic Climate change Directory of Open Access Journals: DOAJ Articles Arctic Earth and Space Science 8 2
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Critical time node detection
extreme high temperature
spatial transformation process
spatiotemporal clusters
spatiotemporal distribution
Astronomy
QB1-991
Geology
QE1-996.5
spellingShingle Critical time node detection
extreme high temperature
spatial transformation process
spatiotemporal clusters
spatiotemporal distribution
Astronomy
QB1-991
Geology
QE1-996.5
Ting Zhang
Changxiu Cheng
Changqing Song
The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters
topic_facet Critical time node detection
extreme high temperature
spatial transformation process
spatiotemporal clusters
spatiotemporal distribution
Astronomy
QB1-991
Geology
QE1-996.5
description Abstract Extreme high temperature (EHT) events have caused serious impact on society. In previous research, EHT indices seldom consider spatial aggregation. To conduct the comprehensive evaluation, the global EHT days from 1979 to 2017 have been evaluated in terms of high temperature duration, accumulative temperature intensities and magnitude of spatial aggregation based on ERA‐Interim 2 m air temperature data set. In addition, abnormal warming of polar and ocean surfaces has rarely been addressed in global‐scale studies. To address this deficiency, the indices of EHT days are normalized by maximum in history for each location. To solve the time discontinuity problem on EHT spatiotemporal distribution in previous studies, we utilized spatiotemporal scan statistics to detect EHT spatiotemporal clusters (EHT‐STCs), and clusters correspond to a certain spatiotemporal extent where the EHT events are aggregated. This method actualizes time‐continuous and spatiotemporal integral detection. The results show the following: 1. There are apparent changes in EHT‐STC spatial distribution after 1999, so 1999 can be recognized as the critical time node of EHT‐STC spatial transformation. 2. After 1999, the EHT‐STC number gradually increased, and the duration and spatial coverage of EHT‐STC gradually expanded. Overall, EHT‐STCs display a significant northward migration, with an average northward movement of 7.03° for each transition from 1979 to 2017. 3. There are differences in the extremity and transformation process in different regions. EHT‐STCs in Antarctica are concentrated before 1992, with the strongest EHT extremity; EHT‐STCs in the Arctic and middle‐low latitude continents are concentrated after 2010 and 1999 respectively, both with a strong EHT extremity. There is a similar EHT‐STC number in the middle‐low latitude ocean before and after 1999 with the weakest extremity. These results contribute to determining EHT causes and future trends in global climate change.
format Article in Journal/Newspaper
author Ting Zhang
Changxiu Cheng
Changqing Song
author_facet Ting Zhang
Changxiu Cheng
Changqing Song
author_sort Ting Zhang
title The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters
title_short The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters
title_full The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters
title_fullStr The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters
title_full_unstemmed The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters
title_sort spatial transformation process and critical time node detection in global extreme high temperature clusters
publisher American Geophysical Union (AGU)
publishDate 2021
url https://doi.org/10.1029/2020EA001282
https://doaj.org/article/c3015a0f4fe84c728622d84761d8b031
geographic Arctic
geographic_facet Arctic
genre Antarc*
Antarctica
Arctic
Climate change
genre_facet Antarc*
Antarctica
Arctic
Climate change
op_source Earth and Space Science, Vol 8, Iss 2, Pp n/a-n/a (2021)
op_relation https://doi.org/10.1029/2020EA001282
https://doaj.org/toc/2333-5084
2333-5084
doi:10.1029/2020EA001282
https://doaj.org/article/c3015a0f4fe84c728622d84761d8b031
op_doi https://doi.org/10.1029/2020EA001282
container_title Earth and Space Science
container_volume 8
container_issue 2
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