Advances in weather and climate extreme studies: a systematic comparative review

There is a growing evidence-based concerns pointing to global increase of weather and climate extreme events (WCEE). What decides whether these hazards become a disaster is how the society and humanity prepare and responds to it. Although various researchers have step up efforts through scholarly co...

詳細記述

保存先:
書誌詳細
主要な著者: Muhammad Kafi, Kamil, Ponrahono, Zakiah
フォーマット: 論文
言語:English
出版事項: Springer 2024
オンライン・アクセス:http://psasir.upm.edu.my/id/eprint/115978/1/115978.pdf
http://psasir.upm.edu.my/id/eprint/115978/
https://link.springer.com/article/10.1007/s44288-024-00079-1?error=cookies_not_supported&code=32b43794-5982-4f4b-a538-fa53e3130c72
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
id my.upm.eprints.115978
record_format eprints
spelling my.upm.eprints.1159782025-03-17T05:23:58Z http://psasir.upm.edu.my/id/eprint/115978/ Advances in weather and climate extreme studies: a systematic comparative review Muhammad Kafi, Kamil Ponrahono, Zakiah There is a growing evidence-based concerns pointing to global increase of weather and climate extreme events (WCEE). What decides whether these hazards become a disaster is how the society and humanity prepare and responds to it. Although various researchers have step up efforts through scholarly contributions in response to WCEE. However, the task of utilizing the needed tools, selecting the most suitable approach, and choosing appropriate techniques for WCEE studies can be daunting for researchers. Moreover, the technicality and complexity associated with the wide array of models and methods present additional challenges when it comes to their practical implementation in disaster applications. This review comprehensively explores four approaches in WCEE studies: statistical analysis, geospatial modeling, MCDA, and AI-based techniques. It evaluates their effectiveness in assessing impacts within WCEE and highlights AI’s (ML and DL’s) superior performance compared to other conventional methods in disaster-related studies. Springer 2024-10-02 Article PeerReviewed text en cc_by_nc_nd_4 http://psasir.upm.edu.my/id/eprint/115978/1/115978.pdf Muhammad Kafi, Kamil and Ponrahono, Zakiah (2024) Advances in weather and climate extreme studies: a systematic comparative review. Discover Geoscience, 2 (1). art. no. 66. pp. 1-26. ISSN 2948-1589 https://link.springer.com/article/10.1007/s44288-024-00079-1?error=cookies_not_supported&code=32b43794-5982-4f4b-a538-fa53e3130c72 10.1007/s44288-024-00079-1
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description There is a growing evidence-based concerns pointing to global increase of weather and climate extreme events (WCEE). What decides whether these hazards become a disaster is how the society and humanity prepare and responds to it. Although various researchers have step up efforts through scholarly contributions in response to WCEE. However, the task of utilizing the needed tools, selecting the most suitable approach, and choosing appropriate techniques for WCEE studies can be daunting for researchers. Moreover, the technicality and complexity associated with the wide array of models and methods present additional challenges when it comes to their practical implementation in disaster applications. This review comprehensively explores four approaches in WCEE studies: statistical analysis, geospatial modeling, MCDA, and AI-based techniques. It evaluates their effectiveness in assessing impacts within WCEE and highlights AI’s (ML and DL’s) superior performance compared to other conventional methods in disaster-related studies.
format Article
author Muhammad Kafi, Kamil
Ponrahono, Zakiah
spellingShingle Muhammad Kafi, Kamil
Ponrahono, Zakiah
Advances in weather and climate extreme studies: a systematic comparative review
author_facet Muhammad Kafi, Kamil
Ponrahono, Zakiah
author_sort Muhammad Kafi, Kamil
title Advances in weather and climate extreme studies: a systematic comparative review
title_short Advances in weather and climate extreme studies: a systematic comparative review
title_full Advances in weather and climate extreme studies: a systematic comparative review
title_fullStr Advances in weather and climate extreme studies: a systematic comparative review
title_full_unstemmed Advances in weather and climate extreme studies: a systematic comparative review
title_sort advances in weather and climate extreme studies: a systematic comparative review
publisher Springer
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/115978/1/115978.pdf
http://psasir.upm.edu.my/id/eprint/115978/
https://link.springer.com/article/10.1007/s44288-024-00079-1?error=cookies_not_supported&code=32b43794-5982-4f4b-a538-fa53e3130c72
_version_ 1827442648881823744
score 13.251813