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FORCeS

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Constrained aerosol forcing for improved climate projections

The overall objective of FORCeS is to understand and reduce the long-standing uncertainty in anthropogenic aerosol radiative forcing, which is crucial in order to increase confidence in climate projections. These projections are h... ver más

31/03/2024

STOCKHOLMS UNIVERS...

8M€

Presupuesto del proyecto: 8M€

Líder del proyecto

STOCKHOLMS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 23 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-03-31

LC-CLA-08-2018: Addressing knowledge gaps in climat...

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No hay información privada compartida para este proyecto. Habla con el coordinador.

23 Participantes

STOCKHOLMS UNIVERSITET

1.45M€ | Lider

GESTAMP HYBRID TOWERS

142.19K€ | Participante

FMI

296.75K€ | Participante

UOXF

593.66K€ | Participante

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Duración del proyecto: 58 meses Fecha Inicio: 2019-05-03
Fecha Fin: 2024-03-31

Líder del proyecto

STOCKHOLMS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 8M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The overall objective of FORCeS is to understand and reduce the long-standing uncertainty in anthropogenic aerosol radiative forcing, which is crucial in order to increase confidence in climate projections. These projections are highly relevant for decision makers, as they provide key information on emission pathways that will facilitate the targets of the Paris Agreement to be achieved. FORCeS will identify key processes governing aerosol radiative forcing, as well as climate feedbacks related to aerosols and clouds, and improve the knowledge about these processes by bringing together leading European scientists with trans-disciplinary expertise to i) exploit the wealth of in-situ and remote sensing data that have emerged during the recent decades; ii) perform dedicated laboratory and field experiments; iii) utilize a range of state-of-the-art computational models; and iv) apply novel theoretical methods including machine learning techniques. The process analysis within FORCeS will be conducted with the overall aim of improving a set of leading European climate models, which all provide essential information to climate assessments such as the IPCC report. The gap between knowledge on the process scale and model application on the climate scale is currently a main reason preventing the climate science community to move forward in terms of understanding the role of aerosols and aerosol-cloud interactions in the climate system. FORCeS will bridge this knowledge gap using systematically designed scale chains that involve methodologies for constraining processes on scales ranging from hours to decades, ultimately leading to the desired refinement of model-estimated aerosol forcing and climate sensitivity. FORCeS will reach out to decision makers and stakeholders and provide added-value information through e.g. workshops where climate science and climate policy experts meet to achieve maximum impact.

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