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  Climate impact storylines for assessing socio-economic responses to remote events

van den Hurk, B. J., Pacchetti, M. B., Boere, E., Ciullo, A., Coulter, L., Dessai, S., Ercin, E., Goulart, H. M., Hamed, R., Hochrainer-Stigler, S., Koks, E., Kubiczek, P., Levermann, A., Mechler, R., van Meersbergen, M., Mester, B., Middelanis, R., Minderhoud, K., Mysiak, J., Nirandjan, S., van den Oord, G., Otto, C., Sayers, P., Schewe, J., Shepherd, T. G., Sillmann, J., Stuparu, D., Vogt, T., & Witpas, K. (2023). Climate impact storylines for assessing socio-economic responses to remote events. Climate Risk Management, 40:. doi:10.1016/j.crm.2023.100500.

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資料種別: 学術論文

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1-s2.0-S2212096323000268-main.pdf (全文テキスト(全般)), 4MB
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1-s2.0-S2212096323000268-main.pdf
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 作成者:
van den Hurk, Bart J.J.M.1, 著者
Pacchetti, Marina Baldissera1, 著者
Boere, Esther1, 著者
Ciullo, Alessio1, 著者
Coulter, Liese1, 著者
Dessai, Suraje1, 著者
Ercin, Ertug1, 著者
Goulart, Henrique M.D.1, 著者
Hamed, Raed1, 著者
Hochrainer-Stigler, Stefan1, 著者
Koks, Elco1, 著者
Kubiczek, Patryk2, 著者              
Levermann, Anders2, 著者              
Mechler, Reinhard1, 著者
van Meersbergen, Maarten1, 著者
Mester, Benedikt2, 著者              
Middelanis, Robin2, 著者              
Minderhoud, Katie1, 著者
Mysiak, Jaroslav1, 著者
Nirandjan, Sadhana1, 著者
van den Oord, Gijs1, 著者Otto, Christian2, 著者              Sayers, Paul1, 著者Schewe, Jacob2, 著者              Shepherd, Theodore G.1, 著者Sillmann, Jana1, 著者Stuparu, Dana1, 著者Vogt, Thomas2, 著者              Witpas, Katrien1, 著者 全て表示
所属:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

内容説明

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キーワード: climate change
 要旨: Modelling complex interactions involving climatic features, socio-economic vulnerability or responses, and long impact transmissions is associated with substantial uncertainty. Physical climate storylines are proposed as an approach to explore complex impact transmission pathways and possible alternative unfoldings of event cascades under future climate conditions. These storylines are particularly useful for climate risk assessment for complex domains, including event cascades crossing multiple disciplinary or geographical borders. For an effective role in climate risks assessments, development guidelines are needed to consistently develop and interpret the storyline event analyses. This paper elaborates on the suitability of physical climate storyline approaches involving climate event induced shocks propagating into societal impacts. It proposes a set of common elements to construct the event storylines. In addition, criteria for their application for climate risk assessment are given, referring to the need for storylines to be physically plausible, relevant for the specific context, and risk-informative. Apart from an illustrative gallery of storyline examples found in literature, three examples of varying scope and complexity are presented in detail, all involving the potential impact on European socio-economic sectors induced by remote climate change features occurring far outside the geographical domain of the European mainland. The storyline examples illustrate the application of the proposed storyline components and evaluate the suitability of the criteria defined in this paper. It thereby contributes to a rigorous design and application of event-based climate storyline approaches.

資料詳細

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言語: eng - 英語
 日付: 2022-03-232023-04-112023-04-19
 出版の状態: Finally published
 ページ: 19
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Regional keyword: Global
Research topic keyword: Security & Migration
MDB-ID: pending
OATYPE: Gold Open Access
DOI: 10.1016/j.crm.2023.100500
 学位: -

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出版物 1

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出版物名: Climate Risk Management
種別: 学術雑誌, SCI, Scopus, p3, oa
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出版社, 出版地: -
ページ: - 巻号: 40 通巻号: 100500 開始・終了ページ: - 識別子(ISBN, ISSN, DOIなど): CoNE: https://publications.pik-potsdam.de/cone/journals/resource/20191025
Publisher: Elsevier