Quantifying loss and damage from compound climate risk

cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeClimate Resilience
cg.coverage.regionAfrica
cg.coverage.regionAsia
cg.coverage.regionEurope
cg.coverage.regionNorthern America
cg.coverage.regionAustralia and New Zealand
cg.coverage.regionSouth America
cg.creator.identifierMastawesha Misganaw Engdaw: 0000-0001-8224-2369en
cg.creator.identifierAniruddha Ghosh: 0000-0003-3667-8019en
cg.creator.identifierJulian Ramirez-Villegas: 0000-0002-8044-583Xen
cg.creator.identifierEvan Girvetz: 0000-0002-1062-9764en
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.actionAreaSystems Transformation
cg.subject.alliancebiovciatCLIMATE CHANGEen
cg.subject.alliancebiovciatCLIMATE CHANGE ADAPTATIONen
cg.subject.alliancebiovciatCLIMATE CHANGE MITIGATIONen
cg.subject.alliancebiovciatRESILIENCEen
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 13 - Climate actionen
cg.subject.sdgSDG 17 - Partnerships for the goalsen
dc.contributor.authorEngdaw, Mastawesha Misganawen
dc.contributor.authorGhosh, Aniruddhaen
dc.contributor.authorChilambe, Pedro Anglazeen
dc.contributor.authorRamirez Villegas, Julianen
dc.contributor.authorGirvetz, Evanen
dc.date.accessioned2025-05-09T07:20:55Zen
dc.date.available2025-05-09T07:20:55Zen
dc.identifier.urihttps://hdl.handle.net/10568/174493
dc.titleQuantifying loss and damage from compound climate risken
dcterms.abstractRecent analyses of multi-hazard attribution studies reveal that compound climate extremes often lead to disproportionately high levels of loss and damage. However, significant losses from single extreme events—sometimes exceeding those from compound events—cannot be overlooked. This highlights a critical limitation: traditional univariate analyses of extremes may underestimate the full extent of loss and damage. This Working Paper emphasizes the need for comprehensive risk assessments to improve the estimation of loss and damage and to strengthen the effectiveness of interventions. To support this, we introduce a novel, time-sensitive, modeling-based conceptual framework that distinguishes between avoided and unavoidable loss and damage. This framework also enables the evaluation of how coordinated interventions contribute to increasing the share of avoidable loss and damage. These roles of the framework and their effectiveness will enhance with further development of impact models. By integrating comprehensive risk analysis with this new framework, it becomes possible to more rigorously identify and assess loss and damage that might otherwise be underestimated. Furthermore, the approach proposed here contributes to promoting greater equity in decision-making processes related to the Loss and Damage Fund. Whenever possible, averting and minimizing loss and damage remains the most effective strategy. To this end, aiming to enhancing the effectiveness and efficiency of interventions that increase avoidable loss and damage, we suggest several policy recommendations: diversifying assessment to economic sectors such as livestock for addressing loss and damage of pastoral communities, minimizing trade-offs though harmonized interventions, accelerated project approval procedure, and data access and sharing.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationEngdaw, M.M.; Ghosh, A.; Chilambe, P.A.; Ramirez Villegas, J.; Girvetz, E. (2025) Quantifying loss and damage from compound climate risk. 12 p.en
dcterms.extent12 p.en
dcterms.issued2025-05-07en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.subjectclimate changeen
dcterms.subjectclimate change impactsen
dcterms.subjectextreme weather events-climate extremesen
dcterms.subjectdamageen
dcterms.subjectlossesen
dcterms.typeWorking Paper

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Engdaw et al. Quantifying Loss and Damage from Compound Climate Risk CG Space Version V2.pdf
Size:
283.42 KB
Format:
Adobe Portable Document Format