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SD4SP

Financiado

Cerrado

Stratospheric Dynamics for Seasonal Prediction

Seasonal forecasting is a field with enormous potential influence in different socio-economic sectors, such as water resources, agriculture, health, and energy. Yet, surface climate conditions in Europe still represent a hurdle to... ver más

02/04/2026

FONDAZIONE CMCC

280K€

Presupuesto del proyecto: 280K€

Líder del proyecto

FONDAZIONE CENTRO EUROMEDITERRANEOSUI CAMBIAM... 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 3 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-07-14

HORIZON-MSCA-2021-PF-01-01: MSCA Postdoctoral Fellowships 2021 ExpectedOutcome:

I+D

Cerrada hace 3 años

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Información adicional privada

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

3 Participantes

FONDAZIONE CMCC

280.20K€ | Lider

ENVIRONMENT CANADA

N.D. | Participante

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Duración del proyecto: 44 meses Fecha Inicio: 2022-07-14
Fecha Fin: 2026-04-02

Líder del proyecto

FONDAZIONE CENTRO EUROMEDITERRANEOSUI CAMBIAM... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 280K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Seasonal forecasting is a field with enormous potential influence in different socio-economic sectors, such as water resources, agriculture, health, and energy. Yet, surface climate conditions in Europe still represent a hurdle to formulate skillful seasonal predictions. SD4SP aims to improve simulation and prediction of the remote influence of two dominant tropical variability modes in the North Atlantic-European (NAE) region: El Niño-Southern Oscillation (ENSO), and the Quasi-Biennial Oscillation (QBO); which are the leading modes of interannual variability in the tropical troposphere and stratosphere respectively. ENSO is highly predictable and constitutes the cornerstone of seasonal forecasting. The QBO is well constrained by initialization and has a long persistence, being considered as the most promising source of seasonal forecast quality with ENSO. However, many scientific questions remain unresolved concerning their tropical-extratropical teleconnections, and model systematic errors only worsen the problem. SD4SP will focus on the stratospheric pathway of the ENSO/QBO teleconnections to NAE and pursue gaining insight into the dynamical mechanisms at play. This goal will be undertaken by carrying out an unprecedented set of idealized seasonal forecast experiments to address the contribution of the tropical stratosphere and the polar stratosphere to the prediction skill by suppressing variability in the two stratospheric regions, separately. SD4SP is very timely in helping to reduce model biases and to increase current seasonal forecasting capabilities for the NAE surface climate. The goal of SD4SP is twofold: to identify key sources of predictability and to improve understanding and simulation of the mechanisms responsible for that predictability. SD4SP will bring together theory and applicability disentangling atmospheric teleconnections to satisfactorily exploit them in a seasonal prediction context.

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