基于地图的海上行动集合预报:决策情景互动可用性评估

J. Jeuring, E. Samuelsen, Machiel Lamers, Malte Müller, Bjorn Age Hjollo, Laurent Bertino
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摘要

以往的研究表明,在某些形式和决策环境下,预测的不确定性可以提供可操作的见解,帮助用户做出决策。然而,如何以最佳方式传播预测的不确定性,哪些因素会影响预测的成功吸收,以及预测的不确定性如何转化为更好的决策,这些仍是学术界和实务界一直在讨论的话题。解释和使用可视化预报的不确定性并不简单,选择如何在预报产品中表现不确定性应取决于所考虑的特定受众。我们介绍了一个利益相关者互动研讨会的研究成果,该研讨会旨在就海上业务领域预报不确定性图形表示法的可用性提出基于背景的见解。研讨会的参与者来自不同的海事领域,包括邮轮旅游、渔业、政府、私营预测服务提供商和研究/学术界。研讨会的地理位置在挪威,采用固定概率和固定阈值两种格式,辅以时间集合图,将海雾结冰作为各种决策情景演练的用例。研究发现,积累的业务专业知识和预报信息本身的特点(如彩色编码和不同形式的预报不确定性可视化)会影响人们对决策质量的看法。研究结果可为将集合预报转化为可用、有用的公共和商业预报信息服务的共同设计过程提供信息。研讨会的合作性质促进了预报提供者和用户之间的知识共享和共同生产。总之,这项研究强调了纳入方法论的重要性,这些方法论考虑了基于集合预报的提供、交流和使用的复杂和动态的操作环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Map-based ensemble forecasts for maritime operations: An interactive usability assessment with decision scenarios
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 which 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 co-design 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 co-production 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.
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