Map-Based Ensemble Forecasts for Maritime Operations: An Interactive Usability Assessment with Decision Scenarios

Author:

Jeuring Jelmer1ORCID,Samuelsen Eirik Mikal2,Lamers Machiel3,Müller Malte4,Hjøllo Bjørn Åge5,Bertino Laurent6,Hagen Berit1

Affiliation:

1. a Norwegian Meteorological Institute, Bergen, Norway

2. b Norwegian Meteorological Institute, Tromsø, Norway

3. c Wageningen University and Research, Wageningen, Netherlands

4. d Norwegian Meteorological Institute, Oslo, Norway

5. e NAVTOR, Bergen, Norway

6. f Nansen Environmental and Remote Sensing Centre, Bergen, Norway

Abstract

Abstract Previous research indicates that forecast uncertainty can, in certain formats and decision contexts, provide actionable insights that help users in their decision-making. However, how to best disseminate forecast uncertainty, which factors affect successful uptake, and how forecast uncertainty transforms into better decision-making remains an ongoing topic for discussion in both academic and operational contexts. Interpreting and using visualizations of forecast uncertainty are not straightforward, and choosing how to represent uncertainty in forecast products should be dependent on the specific audience in mind. We present findings from an interactive stakeholder workshop that aimed to advance context-based insights on the usability of graphical representations of forecast uncertainty in the field of maritime operations. The workshop involved participants from various maritime sectors, including cruise tourism, fisheries, government, private forecast service providers, and research/academia. Geographically situated in Norway, the workshop employed sea spray icing as a use case for various decision scenario exercises, using both fixed probability and fixed threshold formats, supplemented with temporal ensemble diagrams. Accumulated operational expertise and characteristics of the forecast information itself, such as color coding and different forms of forecast uncertainty visualizations, were found to affect perceptions of decision-making quality. Findings can inform codesign processes of translating ensemble forecasts into usable and useful public and commercial forecast information services. The collaborative nature of the workshop facilitated knowledge sharing and coproduction between forecast providers and users. Overall, the study highlights the importance of incorporating methodological approaches that consider the complex and dynamic operational contexts of ensemble-based forecast provision, communication, and use. Significance Statement We wanted to understand how maps showing uncertainty in weather forecasts can help maritime users in their operational decisions. We organized a workshop with Norwegian maritime stakeholders and forecasters, who interpreted maps that combined layers of maritime operational activities and the likelihood of sea spray icing (an important hazard for ships operating on higher latitudes). The results show that contextual knowledge, and the use visual formats such as traffic light colors may help users to understand the maps. The results will help to better communicate weather forecasts to maritime users and gives suggestions about how to involve users in codesigning forecast products. Follow-up research could use our approach to investigate other hazardous conditions, such as wind, waves and sea ice.

Funder

Norges Forskningsråd

Publisher

American Meteorological Society

Reference52 articles.

1. Akkermann, A., B. Å. Hjøllo, and M. Siegel, 2020: Maritime co-simulation framework: Challenges and results. Validation and Verification of Automated Systems, A. Leitner, D. Watzenig and J. Ibanez-Guzman, Eds., Springer, 251–269, https://doi.org/10.1007/978-3-030-14628-3_19.

2. Toward a user-centered design of a weather forecasting decision-support tool;Argyle, E. M.,2017

3. Coproducing sea ice predictions with stakeholders using simulation;Blair, B.,2022a

4. Mind the gap! A consensus analysis of users and producers on trust in new sea ice information products;Blair, B.,2022b

5. Boeije, H., 2009: Analysis in Qualitative Research. Sage Publications, 240 pp.

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