Assessment of plausible changes in Climatic Impact-Drivers relevant for the viticulture sector: A storyline approach with a climate service perspective

IF 4 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Climate Services Pub Date : 2024-04-01 DOI:10.1016/j.cliser.2024.100480
J. Mindlin , C.S. Vera , T.G. Shepherd , F.J. Doblas-Reyes , N. Gonzalez-Reviriego , M. Osman , M. Terrado
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Abstract

Under the pressing warming of climate, interpretable and useful-for-adaptation information has become a need in society and has promoted rapid methodological advances in climate science. One such advance is the development of the dynamical-storyline approach, with which the spread in multi-model scenario projections can be represented as a set of physically plausible scenarios (storylines) defined by (a) a global warming level and (b) changes in large-scale dynamical conditions that arise from climate forcing. Moreover, if changes in regional climate are assessed in such a way that they can clearly inform societal systems or management of natural ecosystems, they can potentially aid decision-making in a practical manner. Such is the aim of the climatic impact-driver (CID) framework, proposed in the Sixth Assessment Report (AR6) from the Intergovernmental Panel on Climate Change. Here, we combine the dynamical-storyline approach with the CID framework and apply them to climate services. We focus on CIDs associated with the viticulture sector and the region of the South American Andes, where currently both Argentina and Chile produce wine. We explain the benefits of this approach from a communication and adaptation perspective. In particular, we found that the CIDs related to seasonally aggregated temperatures are mainly dependent on the global warming level although in some regions, but they can also be sensitive to changes in dynamical conditions. Meanwhile, CIDs related to extreme temperature values and precipitation depend strongly on the dynamical response. We show how adaptation to climate-related compound risks can be informed by a storyline approach, given that they can address compound uncertainty in multiple locations, variables and seasons.

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评估与葡萄种植业相关的气候影响驱动因素的合理变化:从气候服务角度看故事情节
在气候急剧变暖的情况下,可解释和有用的适应信息已成为社会需求,并推动了气候科学方法的快速发展。动态故事情节方法的发展就是其中之一,通过这种方法,多模式情景预测中的传播可以表示为一组物理上可信的情景(故事情节),这些情景(故事情节)由(a)全球变暖水平和(b)气候强迫引起的大尺度动态条件变化所定义。此外,如果对区域气候变化的评估能够为社会系统或自然生态系统的管理提供明确的信息,就有可能切实帮助决策。这就是政府间气候变化专门委员会第六次评估报告(AR6)中提出的气候影响驱动因素(CID)框架的目标。在此,我们将动态结构线方法与 CID 框架相结合,并将其应用于气候服务。我们将重点放在与葡萄种植业和南美安第斯山脉地区相关的 CID 上,目前阿根廷和智利都在该地区生产葡萄酒。我们从传播和适应的角度解释了这种方法的好处。特别是,我们发现与季节性综合气温相关的 CIDs 主要取决于全球变暖水平,尽管在某些地区是如此,但它们对动态条件的变化也很敏感。同时,与极端气温值和降水量相关的 CIDs 在很大程度上取决于动态响应。我们展示了如何通过故事情节方法来适应与气候相关的复合风险,因为故事情节方法可以解决多地点、多变量和多季节的复合不确定性。
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来源期刊
Climate Services
Climate Services Multiple-
CiteScore
5.30
自引率
15.60%
发文量
62
期刊介绍: The journal Climate Services publishes research with a focus on science-based and user-specific climate information underpinning climate services, ultimately to assist society to adapt to climate change. Climate Services brings science and practice closer together. The journal addresses both researchers in the field of climate service research, and stakeholders and practitioners interested in or already applying climate services. It serves as a means of communication, dialogue and exchange between researchers and stakeholders. Climate services pioneers novel research areas that directly refer to how climate information can be applied in methodologies and tools for adaptation to climate change. It publishes best practice examples, case studies as well as theories, methods and data analysis with a clear connection to climate services. The focus of the published work is often multi-disciplinary, case-specific, tailored to specific sectors and strongly application-oriented. To offer a suitable outlet for such studies, Climate Services journal introduced a new section in the research article type. The research article contains a classical scientific part as well as a section with easily understandable practical implications for policy makers and practitioners. The journal''s focus is on the use and usability of climate information for adaptation purposes underpinning climate services.
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