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Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets

Han Wang, Yunqing Xuan Orcid Logo

Geophysical Research Letters, Volume: 48, Issue: 8

Swansea University Authors: Han Wang, Yunqing Xuan Orcid Logo

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DOI (Published version): 10.1029/2020gl091933

Abstract

This paper presents the spatial variation of area‐orientated annual maximum daily rainfall (AMDR), represented by well‐fitted generalized extreme value (GEV) distributions, over the last century in Great Britain (GB) and Australia (AU) with respect to three spatial properties: geographic locations,...

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Published in: Geophysical Research Letters
ISSN: 0094-8276 1944-8007
Published: American Geophysical Union (AGU) 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa55563
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spelling 2022-12-18T09:40:19.4991009 v2 55563 2020-10-31 Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets a718b31e3f1749890106d990af40fb3c Han Wang Han Wang true false 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2020-10-31 FGSEN This paper presents the spatial variation of area‐orientated annual maximum daily rainfall (AMDR), represented by well‐fitted generalized extreme value (GEV) distributions, over the last century in Great Britain (GB) and Australia (AU) with respect to three spatial properties: geographic locations, sizes, and shapes of the region‐of‐interest (ROI). The results show that the spatial variation of GEV location‐scale parameters is dominated by geographic locations and area sizes. In GB, there is an eastward‐decreasing banded pattern compared with a concentrically increasing pattern from the middle to coasts in AU. The parameters tend to decrease with increased area sizes in both studied regions. Although the impact of the ROI shapes is insignificant, the round‐shaped regions usually have higher‐valued parameters than the elongated ones. These findings provide a new perspective to understand the heterogeneity of extreme rainfall distribution over space driven by the complex interactions between climate, geographical features, and the practical sampling approaches. Journal Article Geophysical Research Letters 48 8 American Geophysical Union (AGU) 0094-8276 1944-8007 28 4 2021 2021-04-28 10.1029/2020gl091933 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University Other The authors would like to thank the Center of Hydrology and Ecology (CEH) and The Bureau of Meteorology, AU for providing the datasets, which are available in public domain online at https://doi.org/10.5285/33604ea0-c238- 4488-813d-0ad9ab7c51ca for the GEAR data set and http://www.bom.gov.au/jsp/awap/rain/index.jsp for the ADAM data set. This research is supported by the Chinese Scholarship Council and the College of Engineering, Swansea University, UK via their PhD scholarships offered to the co-author Han Wang and the Academy of Medical Sciences GCRF Networking Grant (REF: GCRFNGR4_1165) which are gratefully acknowledged. 2022-12-18T09:40:19.4991009 2020-10-31T19:30:40.1232885 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Han Wang 1 Yunqing Xuan 0000-0003-2736-8625 2 55563__19777__916b8de33b45456294001f0ff9fd24b4.pdf 55563.pdf 2021-04-29T12:51:46.3796969 Output 2704763 application/pdf Version of Record true © 2021. The Authors. This is an open access article under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/
title Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
spellingShingle Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
Han Wang
Yunqing Xuan
title_short Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
title_full Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
title_fullStr Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
title_full_unstemmed Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
title_sort Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets
author_id_str_mv a718b31e3f1749890106d990af40fb3c
3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv a718b31e3f1749890106d990af40fb3c_***_Han Wang
3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Han Wang
Yunqing Xuan
author2 Han Wang
Yunqing Xuan
format Journal article
container_title Geophysical Research Letters
container_volume 48
container_issue 8
publishDate 2021
institution Swansea University
issn 0094-8276
1944-8007
doi_str_mv 10.1029/2020gl091933
publisher American Geophysical Union (AGU)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description This paper presents the spatial variation of area‐orientated annual maximum daily rainfall (AMDR), represented by well‐fitted generalized extreme value (GEV) distributions, over the last century in Great Britain (GB) and Australia (AU) with respect to three spatial properties: geographic locations, sizes, and shapes of the region‐of‐interest (ROI). The results show that the spatial variation of GEV location‐scale parameters is dominated by geographic locations and area sizes. In GB, there is an eastward‐decreasing banded pattern compared with a concentrically increasing pattern from the middle to coasts in AU. The parameters tend to decrease with increased area sizes in both studied regions. Although the impact of the ROI shapes is insignificant, the round‐shaped regions usually have higher‐valued parameters than the elongated ones. These findings provide a new perspective to understand the heterogeneity of extreme rainfall distribution over space driven by the complex interactions between climate, geographical features, and the practical sampling approaches.
published_date 2021-04-28T04:09:52Z
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score 11.037166

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