Research interests
Global climate is highly variable, which implies that there is much more to understand than just climate change. Climate prediction aims at predicting the variations of climate at different time scales, ranging from one month to several years beyond the start of the forecast. I use an Earth system model based on differential equations to explore the limits of the forecast quality over different parts of the globe, in particular over Africa, South America, the Arctic and Southern Europe. I develop this model to explore the advantages of increasing its resolution to better reproduce the physical processes at the origin of climate variability. I also use statistical techniques to adapt the resulting climate information to specific user needs. Improving the application of this climate information to different socio-economic sectors, with a special focus on energy and disaster risk management, is one of my main targets to try to make a change in both society and the economy.
Selected publications
Acosta, MC et al. 2024, '- The computational and energy cost of simulation and storage for climate science: lessons from CMIP6', Geoscientific model development, 17 - 8 - 3081 - 3098 - .