Nurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis

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dc.citation.volume105
dc.contributor.authorHarrison SE
dc.contributor.authorPotter SH
dc.contributor.authorPrasanna R
dc.contributor.authorDoyle EEH
dc.contributor.authorJohnston D
dc.date.accessioned2024-06-27T02:35:35Z
dc.date.available2024-06-27T02:35:35Z
dc.date.issued2024-04-15
dc.description.abstractThis paper presents a synthesis and theoretical integration of findings from a research project that explored the data needs and sources for implementing impact forecasts and warnings for hydrometeorological hazards. Impact forecasts and warnings (IFW) have received global attention in recent years as they offer a novel way of improving the communication of hazards and risks. The fundamental idea behind IFWs is to enable warning services to meaningfully communicate the anticipated outcomes, consequences, or impacts of the hazard interacting with society or the environment by incorporating knowledge about the underlying and dynamic exposure and vulnerability of people and assets. One key question for IFW implementation is about data needs and sources to inform IFWs.Using the Grounded Theory Methodology, we address the question “How can partnerships and collaboration better facilitate the collection, creation, and access to hazard, impact, vulnerability, and exposure data for IFWs?” Our findings point to partnerships and collaboration as a necessary strategy for implementing IFWs. Implementation requires accessing various types and sources of hazard, impact, vulnerability, and exposure data to assess and communicate the potential impacts of hydrometeorological hazards. Partnerships and collaboration facilitate the sharing of and access to required data and knowledge. Based on our findings, we provide recommendations to increase interagency communication and partnerships for IFWs and disaster risk reduction, such as making cohabitation arrangements between agencies, running joint training scenarios, and encouraging meteorological services and emergency responders to co-define tailored warning thresholds.
dc.description.confidentialfalse
dc.edition.edition15 April 2024
dc.identifier.citationHarrison SE, Potter SH, Prasanna R, Doyle EEH, Johnston D. (2024). Nurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis. International Journal of Disaster Risk Reduction. 105.
dc.identifier.doi10.1016/j.ijdrr.2024.104395
dc.identifier.eissn2212-4209
dc.identifier.elements-typejournal-article
dc.identifier.issn2212-4209
dc.identifier.number104395
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70033
dc.languageEnglish
dc.publisherElsevier B.V.
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2212420924001572?
dc.relation.isPartOfInternational Journal of Disaster Risk Reduction
dc.rights(c) 2024 The Author/s
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectImpact-based warnings
dc.subjectImpacts
dc.subjectVulnerability
dc.subjectExposure
dc.subjectGrounded theory
dc.subjectEarly warning systems
dc.titleNurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis
dc.typeJournal article
pubs.elements-id488091
pubs.organisational-groupOther
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