INVESTIGADORES
OSMAN Marisol
congresos y reuniones científicas
Título:
Assessment of Plausible Changes in Climatic Impact-Drivers Relevant for the Viticulture Sector: A Storyline Approach with a Climate Service Perspective
Autor/es:
MINDLIN, JULIA; CAROLINA VERA; TEODORE SHEPHERD; FRANCISCO JAVIER DOBLAS-REYES; NUBE GONZALEZ-REVIRIEGO; MARISOL OSMAN; MARTA TERRADO
Reunión:
Conferencia; American Geophysical Union Fall Meeting 2022; 2022
Resumen:
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 of such advances 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 AR6 from the IPCC. 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 not particularly sensitive to the dynamical conditions, and are mainly dependent on the global warming level, while CIDs related to extreme temperature values and precipitation depend strongly on the dynamical response. Given that storylines can address compound uncertainty in changes in multiple locations and seasons, we show how adaptation to climate-related compound risks can be informed by this approach.