Descripción del proyecto
Una predicción mejorada de las futuras olas de calor
Las olas de calor pueden tener efectos perjudiciales en la salud humana. Las previsiones sobre el cambio climático indican que, en las próximas décadas, la frecuencia y dureza de las olas de calor seguirán aumentando. Sin embargo, los modelos siguen sin ser capaces de predecir las olas de calor en plazos de unas pocas semanas, que suponen un tiempo de planificación crucial. Por ello, las alertas rápidas sobre temperaturas extremas podrían ser de gran valor. El proyecto HEATforecast, financiado con fondos europeos, desarrollará unos sistemas de jerarquía de predicción basados en procesos para mejorar los conocimientos y la predicción de las olas de calor. El proyecto tiene como objetivo aumentar las conexiones entre las comunidades de dinámica y previsibilidad para beneficiar el estudio de la dinámica de fluidos atmosféricos y la previsibilidad más allá de las olas de calor.
Objetivo
In summer 2018, a devastating heat wave affected the entire Northern Hemisphere. Climate change projections indicate that the severity and frequency of such heat waves will further increase over the next decades. At the same time, models remain unable to predict heat waves at lead times of a few weeks – a crucial planning timescale. The poor prediction skill at timescales of weeks to months is to a large extent due to an incomplete understanding of the underlying physical drivers of heat waves. In particular, the atmospheric fluid dynamics responsible for heat waves and their prediction are not sufficiently understood and tend to be biased in models. The seasonal cycle further modulates the drivers and predictability of heat waves. Climate change projections disagree on the changes in atmospheric dynamics responsible for heat waves. The proposed research takes an unconventional path to address these open questions by building a process-based hierarchy of prediction systems ranging from a dry dynamical core to a prediction system using full physics. This hierarchy approach is novel for prediction systems. By systematically adding processes to the model, the relative contribution of atmospheric dynamics and surface drivers for heat waves and their predictability can be estimated throughout the seasonal cycle and for the projected changes in heat waves with climate change. While solving a fundamental question in atmospheric fluid dynamics, the proposed research aims to significantly extend the warning horizon and thereby minimize the societal consequences for future heat waves, which are expected to increase in frequency but so far remain unpredictable. This project combines the experience and strengths of the PI in atmospheric dynamics, predictability, and their application in a timely manner by increasing the connections between the dynamics and predictability communities that will benefit the study of atmospheric fluid dynamics and predictability beyond heat waves.
Ámbito científico
Palabras clave
Programa(s)
Régimen de financiación
ERC-STG - Starting GrantInstitución de acogida
1015 LAUSANNE
Suiza