‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand

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dc.citation.volume66
dc.contributor.authorHarrison SE
dc.contributor.authorPotter SH
dc.contributor.authorPrasanna R
dc.contributor.authorDoyle EEH
dc.contributor.authorJohnston D
dc.date.accessioned2023-09-12T02:55:35Z
dc.date.accessioned2023-09-21T22:15:21Z
dc.date.available2023-09-12T02:55:35Z
dc.date.available2023-09-21T22:15:21Z
dc.date.issued2021-12
dc.date.updated2023-09-12T02:35:10Z
dc.description(c) 2021 The Author/sen_US
dc.description.abstractEarly Warning Systems are a key component to building preparedness and response capacities to hydrometeorological hazards that continue to affect people worldwide. Notable historic events have revealed gaps in current hazard-based warning systems. Impact Forecasts and Warnings (IFWs) have been proposed to fill these communication gaps by re-centring the warning thresholds and language around the consequences, or impacts, of the hazard(s), rather than just the physical characteristics. However, research has shown that implementing IFWs requires not just hazard data, but also data on impacts, vulnerability, and exposure to understand the risk of impacts. Using Grounded Theory Methodology, we conducted a series of interviews with users and creators of hazard, impact, vulnerability, and exposure (HIVE) data to identify data sources and understand how these data are collected and created to support the implementation of IFWs. We focus the study on the New Zealand context to support the country's efforts towards implementing IFWs. Our findings indicate that many sources for HIVE data exist that are collected for other uses (such as for disaster/emergency response efforts, and for research) and have relevant applications for IFWs. Our findings further suggest that priorities, motivation, and interest within organisations influence how well data is collected. Moreover, agencies tend to prefer official data, but official data has limitations that unofficial data may address, such as timeliness. To that end, a tension exists between the timeliness and trustworthiness of data needed for emergency response and warnings.
dc.identifierARTN 102619
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000711069000003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationHarrison SE, Potter SH, Prasanna R, Doyle EEH, Johnston D. (2021). ‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand. International Journal of Disaster Risk Reduction. 66.
dc.identifier.doi10.1016/j.ijdrr.2021.102619
dc.identifier.elements-typejournal-article
dc.identifier.harvestedMassey_Dark
dc.identifier.issn2212-4209
dc.identifier.urihttp://hdl.handle.net/10179/20149
dc.publisherElsevier B.V
dc.relation.isPartOfInternational Journal of Disaster Risk Reduction
dc.rightsCC BY-NC-ND 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectImpact-based warnings
dc.subjectSevere weather
dc.subjectRisk data
dc.subjectImpacts
dc.subjectVulnerability
dc.subjectExposure
dc.title‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand
dc.typeJournal article
pubs.elements-id449048
pubs.organisational-groupOther
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