Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

EUCLIPSE

Financiado

Cerrado

EU Cloud Intercomparison Process Study and Evaluation Project

Cloud feedbacks remain the largest source of uncertainty in projections of future climate. They are also a major contributor to uncertainty in other feedbacks (e.g., surface albedo, carbon cycle) in the Earth System. Through inter... ver más

31/07/2014

KNMI

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUU... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 12 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2014-07-31 No tenemos la información de la convocatoria

0% 70% 100%

Información adicional privada

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

12 Participantes

KNMI

0.00€ | Lider

UNIWARSAW

N.D. | Participante

MET OFFICE

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

SUBGRID-SCALE CLOUDS Improving subgrid scale cloud parameterization in global cli... 100K€ Cerrado

STEP Solving The Entrainment Puzzle 175K€ Cerrado

STEP-CHANGE State-dependent cloud phase feedbacks: enhancing understandi... 2M€ Cerrado

CGL2010-20657 REDUCCION DE LA INCERTIDUMBRE EN SIMULACIONES GLOBALES DEL C... 189K€ Cerrado

RECONCILE Revisiting Rainfall Extremes with Ensembles of Convective Ob... 1M€ Cerrado

QUAERERE Quantifying aerosol cloud climate effects by regime 1M€ Cerrado

Líder del proyecto

KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUU... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Cloud feedbacks remain the largest source of uncertainty in projections of future climate. They are also a major contributor to uncertainty in other feedbacks (e.g., surface albedo, carbon cycle) in the Earth System. Through interactions with the large-scale circulation, cloud processes also contribute to synoptic circulations and regional climate. They are therefore critical to the prediction of future changes in precipitation patterns, climate variability and extreme events. The central objective of EUCLIPSE is to reduce the uncertainty in the representation of cloud processes and feedbacks in the new generation of Earth System Models (ESMs), in support of the IPCC's fifth assessment report. Novel, process-oriented evaluations of clouds in present-day and future climate simulations made by the leading European ESMs will identify the cloud types and processes responsible for the spread in climate sensitivity and future precipitation changes across the models, and for deficiencies in the simulation of the present-day climate. The new diagnostics and metrics developed in EUCLIPSE will inform targeted sensitivity experiments to isolate the processes responsible for cloud feedback uncertainty. In EUCLIPSE, four distinct communities will work together across a set of integrated work packages over a four-year period: the observational community will provide state-of-the-art measurements from ground- and space-based active and passive remote sensing; the numerical weather prediction community will provide analyses of short timescale model biases induced by cloud processes; the cloud modeling community will provide fine-scale models as an additional tool for understanding cloud behavior in a changing climate; finally, the climate modeling community will synthesize the physical understanding and observational constraints identified by the other communities to improve the representation and assessment of cloud processes in ESMs and so improve the predictive skill of ESMs.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores