Carolina Natel de Moura - Deputy Group Leader

I joined the Global Land Ecosystem Modelling group in January 2022 with an Alexander von Humboldt fellowship. In the last few years, I have been interested in the application of machine- and deep learning methods to Earth System Science problems. In my postdoc position here at IMKIFU, I will be implementing deep learning methods to build an emulator of the Dynamic Global Vegetation Model LPG-GUESS, to estimate forest carbon cycle and timber production. The output of this emulator will be used in the coupled land use and vegetation model LandSyMM (Land System Modular Model). This research project will allow the study of the effect of several forest management options on the future forest carbon sink in the context of climate change.

I obtained my doctorate in Water Resources and Environmental Engineering at the Federal University of Parana (Brazil) in 2021. My thesis focused on the uncertainties of the climate change impacts on the projected discharge in Southern Brazil. During my PhD., I was awarded with the Swiss Excellence Scholarship, and did a 1.5-year research exchange at the University of Zurich, where I applied both conceptual (bucket-type model) and deep learning methods for hydrological modelling under changing climate conditions.