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The impact of Secondary Ice processes on Mixed PHAse Clouds and Climate

Clouds may never have had a more important meaning to society as they have today. They regulate the Earth's energy balance and are key drivers of how climate responds to changing greenhouse gas levels. Moreover, they generate prec... ver más

19/09/2023

FOUNDATION FOR RES...

153K€

Presupuesto del proyecto: 153K€

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IDRYMA TECHNOLOGIAS KAI EREVNAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-09-19

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FOUNDATION FOR RESEARCH AND...

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Duración del proyecto: 41 meses Fecha Inicio: 2020-03-28
Fecha Fin: 2023-09-19

Líder del proyecto

IDRYMA TECHNOLOGIAS KAI EREVNAS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 153K€

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Descripción del proyecto Clouds may never have had a more important meaning to society as they have today. They regulate the Earth's energy balance and are key drivers of how climate responds to changing greenhouse gas levels. Moreover, they generate precipitation, which has a direct impact on the supply of fresh water on Earth. Clouds however are the most elusive component of the climate system, and the largest source of predictive error in any atmospheric and climate models. Of all cloud types, mixed-phase (consisting of both liquid water and ice) clouds are by far the most uncertain, while they dominate the energy balance and precipitation in many regions of the globe. At the heart of this uncertainty is the inability to capture ice crystal formation and the explosive multiplication that can occur, which in turn fundamentally affect cloud processes. The exact mechanisms involved and their relative importance remain unknown; as a result a description of these processes is currently missing in weather forecast and climate models. Our aim is to resolve this ice formation paradox, by quantitatively understanding the mechanisms responsible for enhanced cloud ice levels, and develop parameterizations of these processes for use in numerical models. For this purpose we will use state-of-the-art highresolution models, a unique laboratory dataset and in-situ observations, while our parameterizations will be tested in a weather forecast model. Our initial focus will be in the Arctic, the most climatically sensitive region of the planet, but results have the potential to improve mixed-phase cloud representation at lower latitudes as well. As clouds are a critical component of the climate system, improving cloud-ice representation in models is expected to result in more accurate weather predictions and future climate projections

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