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CLimate science for Evaluation of changing Socioeconomic ImpactS

Objective

Climate change (CC) poses numerous risks to society. Amongst these, recent work has quantified the impacts which adverse climate conditions can exert on economic growth and inflation by applying empirical models (EMs) to historical data. Evaluation of the extent to which historical and future CC is changing such impacts is crucial for translating these empirical insights into actionable knowledge. Two key examples are quantifying the historical anthropogenic contribution to intensified impacts, and accurately projecting their near-term changes. These tasks face challenges because climate model ensembles often under-estimate forced changes in impact-relevant conditions such as extremes, and near-term changes are affected by both greenhouse forcing and internal variability, with the latter amplifying or masking impacts over decadal timescales.

KLESIS proposes to extend recent methodological developments in climate science to overcome these obstacles to an accurate evaluation of how climate impacts are changing. First, we will develop and apply statistical methods to attribute historical changes in impact-relevant climate conditions directly from observations. These methods will be tested in climate models, applied to observations and combined with EMs to evaluate the anthropogenic contribution to historical changes in climate impacts on the economy, crucial for informing loss and damage debates. Second, we will extend state-of-the-art decadal climate prediction systems to include impact-relevant conditions. Combining these with EMs will provide near-term estimates of climate impacts which accurately reflect the important and otherwise neglected role of internal climate variability. Finally, near-term projections of impacts on economic growth and inflation will be disseminated to stakeholders at the European Central Bank via a 6-month non-academic placement, to develop a framework for the assessment of physical climate risk in their quarterly macroeconomic forecasts.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

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

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(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.

€ 206 641,20
Address
CALLE JORDI GIRONA 31
08034 BARCELONA
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Partners (2)

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