Preview

PDF (Published version) 150667 - Severe...pdf | Download (1MB) | Preview

Abstract

Tropical cyclones (TCs) are amongst the costliest natural hazards for southwest Pacific(SWP) Island nations. Extreme winds coupled with heavy rainfall and related coastalhazards, such as large waves and high seas, can have devastating consequences for lifeand property. Effects of anthropogenic climate change are likely to make TCs even moredestructive in the SWP (as that observed particularly over Fiji) and elsewhere around theglobe, yet TCs may occur less often. However, the underpinning science of quantifyingfuture TC projections amid multiple uncertainties can be complex. The challenge for scientistsis how to turn such technical knowledge framed around uncertainties into tangibleproducts to inform decision-making in the disaster risk management (DRM) and disasterrisk reduction (DRR) sector. Drawing on experiences from past TC events as analogies towhat may happen in a warming climate can be useful. The role of science-based climateservices tailored to the needs of the DRM and DRR sector is critical in this context. In thefirst part of this paper, we examine cases of historically severe TCs in the SWP and quantifytheir socio-economic impacts. The second part of this paper discusses a decision-supportframework developed in collaboration with a number of agencies in the SWP, featuringscience-based climate services that inform different stages of planning in national-levelrisk management strategies.

Item Type:	Article
Authors/Creators:	Deo, A and Chand, SS and McIntosh, RD and Prakash, B and Holbrook, NJ and Magee, A and Haruhiru, A and Malsale, P
Keywords:	severe tropical cyclones, southwest Pacific Islands, economic impacts and implications for disaster risk management, climate change
Journal or Publication Title:	Climatic Change
Publisher:	Kluwer Academic Publ
ISSN:	0165-0009
DOI / ID Number:	https://doi.org/10.1007/s10584-022-03391-2
Copyright Information:	© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, (https://creativecommons.org/licenses/by/4.0/) 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 licence, and indicate if changes were made.
Related URLs:	Google Scholar: Holbrook, NJ UTAS Profile: Holbrook, NJ
Item Statistics:	View statistics for this item

Actions (login required)

Item Control Page