Coproducing Sea Ice Predictions with Stakeholders Using Simulation
Forecasts of sea ice evolution in the Arctic region for several months ahead can be of considerable socio-economic 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 t...
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Online Access: | https://research.wur.nl/en/publications/coproducing-sea-ice-predictions-with-stakeholders-using-simulatio https://doi.org/10.1175/WCAS-D-21-0048.1 |
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ftunivwagenin:oai:library.wur.nl:wurpubs/598334 2024-02-11T10:00:40+01:00 Coproducing Sea Ice Predictions with Stakeholders Using Simulation Blair, Berill Müller, Malte Palerme, Cyril Blair, Rayne Crookall, David Knol-Kauffman, Maaike Lamers, Machiel 2022 application/pdf https://research.wur.nl/en/publications/coproducing-sea-ice-predictions-with-stakeholders-using-simulatio https://doi.org/10.1175/WCAS-D-21-0048.1 en eng https://edepot.wur.nl/571530 https://research.wur.nl/en/publications/coproducing-sea-ice-predictions-with-stakeholders-using-simulatio doi:10.1175/WCAS-D-21-0048.1 (c) publisher Wageningen University & Research Weather, Climate, and Society 14 (2022) 2 ISSN: 1948-8327 Adaptation Arctic Climate change Decision support Policy Sea ice Seasonal forecasting Subseasonal variability Article/Letter to editor 2022 ftunivwagenin https://doi.org/10.1175/WCAS-D-21-0048.1 2024-01-24T23:14:00Z Forecasts of sea ice evolution in the Arctic region for several months ahead can be of considerable socio-economic 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 com- bined 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. Article in Journal/Newspaper Arctic Climate change Sea ice Wageningen UR (University & Research Centre): Digital Library Arctic Weather, Climate, and Society 14 2 399 413 |
institution |
Open Polar |
collection |
Wageningen UR (University & Research Centre): Digital Library |
op_collection_id |
ftunivwagenin |
language |
English |
topic |
Adaptation Arctic Climate change Decision support Policy Sea ice Seasonal forecasting Subseasonal variability |
spellingShingle |
Adaptation Arctic Climate change Decision support Policy Sea ice Seasonal forecasting Subseasonal variability Blair, Berill Müller, Malte Palerme, Cyril Blair, Rayne Crookall, David Knol-Kauffman, Maaike Lamers, Machiel Coproducing Sea Ice Predictions with Stakeholders Using Simulation |
topic_facet |
Adaptation Arctic Climate change Decision support Policy Sea ice Seasonal forecasting Subseasonal variability |
description |
Forecasts of sea ice evolution in the Arctic region for several months ahead can be of considerable socio-economic 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 com- bined 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. |
format |
Article in Journal/Newspaper |
author |
Blair, Berill Müller, Malte Palerme, Cyril Blair, Rayne Crookall, David Knol-Kauffman, Maaike Lamers, Machiel |
author_facet |
Blair, Berill Müller, Malte Palerme, Cyril Blair, Rayne Crookall, David Knol-Kauffman, Maaike Lamers, Machiel |
author_sort |
Blair, Berill |
title |
Coproducing Sea Ice Predictions with Stakeholders Using Simulation |
title_short |
Coproducing Sea Ice Predictions with Stakeholders Using Simulation |
title_full |
Coproducing Sea Ice Predictions with Stakeholders Using Simulation |
title_fullStr |
Coproducing Sea Ice Predictions with Stakeholders Using Simulation |
title_full_unstemmed |
Coproducing Sea Ice Predictions with Stakeholders Using Simulation |
title_sort |
coproducing sea ice predictions with stakeholders using simulation |
publishDate |
2022 |
url |
https://research.wur.nl/en/publications/coproducing-sea-ice-predictions-with-stakeholders-using-simulatio https://doi.org/10.1175/WCAS-D-21-0048.1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Sea ice |
genre_facet |
Arctic Climate change Sea ice |
op_source |
Weather, Climate, and Society 14 (2022) 2 ISSN: 1948-8327 |
op_relation |
https://edepot.wur.nl/571530 https://research.wur.nl/en/publications/coproducing-sea-ice-predictions-with-stakeholders-using-simulatio doi:10.1175/WCAS-D-21-0048.1 |
op_rights |
(c) publisher Wageningen University & Research |
op_doi |
https://doi.org/10.1175/WCAS-D-21-0048.1 |
container_title |
Weather, Climate, and Society |
container_volume |
14 |
container_issue |
2 |
container_start_page |
399 |
op_container_end_page |
413 |
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1790596375742775296 |