Hola,
¿eres nuevo aquí?

Registrate y conecta tu empresa con financiación pública, partners y proyectos.

ASPIRE

Financiado

Advancing Subseasonal PredIctions at Reduced computational Effort

The new frontier for weather prediction is the so-called subseasonal time scale of two weeks to two months ahead. To take preventive measures at an early stage, reliable forecasts on this time scale are becoming increasingly impor... ver más

31/08/2028

KIT

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

KARLSRUHER INSTITUT FUER TECHNOLOGIE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 1 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-12-12

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2022-STG: ERC STARTING GRANTS

I+D

Cerrada hace 2 años

0% 100%

1 Participantes

KIT

1.50M€ | Lider

Proyectos interesantes

TOSCP Towards Operational Supermodel Climate Prediction 150K€ Cerrado

Vis4Weather Improved Communication of High Impact Weather Events 149K€ Cerrado

CGL2011-25327 DESARROLLO Y EVALUACION DE TECNICAS DE PREDICCION POR CONJUN... 190K€ Cerrado

SENTINEL Design and Implementation of an Advanced Nonlinear and Non-G... 165K€ Cerrado

TED2021-130056B-I00 NUEVOS ALGORITMOS DE CALIBRACION Y PROCESADO DE SEÑAL DE RAD... 185K€ Cerrado

UNJA10-1E-189 Equipamiento para el fomento de las actividades de investiga... 181K€ Cerrado

Últimas noticias

27-11-2024: Videojuegos y creaci... Se abre la línea de ayuda pública: Ayudas para la promoción del sector del videojuego, del pódcast y otras formas de creación digital

27-11-2024: DGIPYME En las últimas 48 horas el Organismo DGIPYME ha otorgado 1 concesiones

27-11-2024: FUNDACION-EOI En las últimas 48 horas el Organismo FUNDACION EOI ha otorgado 2 concesiones

Duración del proyecto: 68 meses Fecha Inicio: 2022-12-12
Fecha Fin: 2028-08-31

Líder del proyecto

KARLSRUHER INSTITUT FUER TECHNOLOGIE

TRL 4-5

Presupuesto del proyecto 1M€

Descripción del proyecto The new frontier for weather prediction is the so-called subseasonal time scale of two weeks to two months ahead. To take preventive measures at an early stage, reliable forecasts on this time scale are becoming increasingly important for multiple socio-economic sectors. Subseasonal predictability can be gained from recurring patterns in the Earth system. ASPIRE will focus on one of these, namely modes of tropical convective variability. Long-standing systematic errors due to the parametrization of processes in numerical weather prediction models prevent the predictability of these modes from being exploited. Simply running models at a resolution high enough to resolve tropical convection is not feasible due to high computational costs. Taking advantage of three recent developments, ASPIRE will explore new ways to better exploit the intrinsic predictability of tropical convective modes without exhausting the currently available computing resources. The uniqueness of ASPIRE is its cross-disciplinary approach that builds on my experience in atmospheric dynamics and predictability, numerical modeling, and machine learning (ML). First, ASPIRE will identify the source regions and pathways of tropical forecast errors that prevent the intrinsic predictability from being exploited using a new set of subseasonal ensemble hindcasts. Second, ASPIRE will quantify for the first time the added value of locally confined kilometer-scale resolution in the source regions identified before, and generate probabilistic predictions from deterministic forecasts through ML-based post-processing. Third, to enable simulations at kilometer-scale resolution in operations, ASPIRE will develop ML approaches that emulate the integrated effect of the resolved convection in the tropics at substantially reduced costs. If successful, this approach would be a breakthrough towards improved operational weather forecasts at substantially lower computational costs, for a global socio-economic benefit.

Conecta tu I+D

Entra hoy

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores