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dc.contributor.authorBlair, Berill
dc.contributor.authorMueller, Malte
dc.contributor.authorPalerme, Cyril
dc.contributor.authorBlair, Rayne
dc.contributor.authorCrookall, David
dc.contributor.authorKnol-Kauffman, Maaike
dc.contributor.authorLamers, Machiel
dc.coverage.spatialArctic Regionen_US
dc.date.accessioned2023-05-10T16:10:13Z
dc.date.available2023-05-10T16:10:13Z
dc.date.issued2022
dc.identifier.citationBlair, B., Müller, M., Palerme, C., Blair, R., Crookall, D., Knol-Kauffman, M. and Lamers, M. (2022) Coproducing Sea Ice Predictions with Stakeholders using Simulation. Weather, Climate, and Society, 14, pp.399–413. DOI: https://doi.org/10.1175/WCAS-D-21-0048.1en_US
dc.identifier.urihttps://repository.oceanbestpractices.org/handle/11329/2205
dc.description.abstractForecasts of sea ice evolution in the Arctic region for several months ahead can be of considerable socioeconomic value for a diverse range of marine sectors and for local community supply logistics. However, subseasonal-to-seasonal (S2S) forecasts represent a significant technical challenge, and translating user needs into scientifically manageable procedures and robust user confidence requires collaboration among a range of stakeholders. We developed and tested a novel, transdisciplinary coproduction approach that combined socioeconomic scenarios and participatory, research-driven simulation gaming to test a new S2S sea ice forecast system with experienced mariners in the cruise tourism sector. Our custom-developed computerized simulation game known as ICEWISE integrated sea ice parameters, forecast technology, and human factors as a participatory environment for stakeholder engagement. We explored the value of applications-relevant S2S sea ice prediction and linked uncertainty information. Results suggest that the usefulness of S2S services is currently most evident in schedule-dependent sectors but is expected to increase as a result of anticipated changes in the physical environment and continued growth in Arctic operations. Reliable communication of uncertainty information in sea ice forecasts must be demonstrated and trialed before users gain confidence in emerging services and technologies. Mariners' own intuition, experience, and familiarity with forecast service provider reputation impact the extent to which sea ice information may reduce uncertainties and risks for Arctic mariners. Our insights into the performance of the combined foresight/simulation coproduction model in brokering knowledge across a range of domains demonstrates promise. We conclude with an overview of the potential contributions from S2S sea ice predictions and from experiential coproduction models to the development of decision-driven and science-informed climate services.en_US
dc.language.isoenen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherSeasonal forecastingen_US
dc.subject.otherSubseasonal variabilityen_US
dc.subject.otherSerious gamesen_US
dc.subject.otherSea Iceen_US
dc.subject.otherGamingen_US
dc.titleCoproducing Sea Ice Predictions with Stakeholders Using Simulation.en_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerangepp.399-413en_US
dc.identifier.doihttp://dx.doi.org/10.1175/WCAS-D-21-0048.1
dc.subject.parameterDisciplineHuman activityen_US
dc.subject.dmProcessesData visualizationen_US
dc.bibliographicCitation.titleWeather Climate and Societyen_US
dc.bibliographicCitation.volume14en_US
dc.description.sdg14.2en_US
dc.description.methodologyTypeReports with methodological relevanceen_US
obps.contact.contactnameBerill Blair
obps.contact.contactorcidBlair, Berill/0000-0002-3298-9816
obps.resourceurl.publisherhttps://journals.ametsoc.org/view/journals/wcas/14/2/WCAS-D-21-0048.1.xml


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International