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Towards Seamless climate INFOrmation: merging sub-seasonal and seasonal predictioNs to better manage climate-related rIsks Affecting the wine sector

Project description

Addressing climate challenges in the wine industry

The wine industry faces significant challenges due to climate variability and change, impacting production at various scales. Reliable sub-seasonal to seasonal (S2S) climate information is crucial for mitigating these risks. However, the lack of coherence between different climate prediction sources poses a barrier to effective decision-making. With the support of the Marie Skłodowska-Curie Actions programme, the SINFONIA project aims to develop seamless S2S climate data for viticulture. Based at the Barcelona Supercomputing Center, the project addresses inconsistencies between prediction sources and merging sub-seasonal and seasonal data. Collaborating with stakeholders, the project tailors climate information for vineyard and winery management. It also promises broader applications beyond wine, benefiting sectors like agriculture and energy.

Objective

The wine industry is one of the agri-food sectors most highly influenced by climate variability and change at different timescales. In particular, the integration of reliable and timely sub-seasonal to seasonal (S2S) climate information in decision-making might help the wine sector to better manage climate-related risks. This explains the recent interest of the wine industry in these sources of climate information. However, one of the challenges that prevent the users from the uptake of climate information is the lack of coherence between the climate predictions from different sources (i.e. forecast systems at sub-seasonal and seasonal time scales). This project will develop a novel methodology to produce coherent S2S seamless climate information for the wine industry. This will involve 1) the understanding of the inconsistencies between the climate prediction sources at S2S timescales that prevent the users from a coherent flow of climate information and 2) the implementation of a methodology that merges sub-seasonal and seasonal predictions by using the knowledge from the physical processes relevant for the climate predictability at both timescales. The new scientific knowledge and methods will be co-developed in collaboration with representative stakeholders. They will work with the fellow to design the climate information that has actual value for the management of the vineyards, wineries, and the strategic planning for the wine market. The methods developed in this project could be further exploited to produce seamless S2S predictions for other socio-economic sectors (e.g. agriculture, health, and energy). This action will be developed at the Barcelona Supercomputing Center (Spain), a well-known institution in the implementation of successful climate services for different socio-economic sectors. Furthermore, a secondment period is projected at Météo-France (France), which is a producing centre of operational sub-seasonal and seasonal predictions.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 165 312,96
Address
CALLE JORDI GIRONA 31
08034 BARCELONA
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
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Total cost

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