Two works at EGU 2024
During the week of April 15 to 19, 2024, two works will be presented by PhD(c) Fernando Gimeno in the European Geosciences Union Conference (EGU 2024), held in the city of Wien (Austria):
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Spatially-distributed Intensity-Duration-Frequency (IDF) curves for Chile using sub-daily gridded datasets. This works presents the development of Intensity-Duratin-Frequency (IDF) curves for the climatically and topographically diverse Chilean territory (17-56ºS), using both stationary and non-stationary approaches based on three state-of-the-art gridded datasets (IMERGv06B, ERA5, ERA5-Land). This collaboration was only possible thanks to funding provided by ANID-Fondecyt Regular 1212071, ANID-PCI NSFC 190018, and ANID-Fondecyt Iniciación 111908064.
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Evaluation of soil mapping methods for SWAT hydrological model through multi-objective calibration. This work addresses the pressing need for robust soil input data for SWAT+ hydrological model, by evaluating assessing the performance of four different soil type maps in the respresenation of streamflows and soild moisture data in the mediterranean Cauquenes in Desembocadura River Basin. This work was only possible thanks to funding provided by ANID-Fondecyt Regular 1212071, ANID-PCI NSFC 190018.
My Caption
I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera. I hold a PhD in Environmental Engineering from the University of Trento (Italy) and completed postdoctoral training at the European Commission’s Joint Research Centre. I have more than 20 years of experience in water resources research and have previously served as an Associate Researcher at the Center for Climate and Resilience Research (CR)2 and as a member of the Earth Sciences Assessment Group of the Chilean National Research and Development Agency (ANID).
My research lies at the interface of hydrology, data science, and environmental sciences, with a particular focus on the use of gridded datasets and open-source tools to investigate droughts, extreme events, and water-related impacts of global change.
I work across spatial and temporal scales to improve the understanding of catchment-scale hydrological processes and to translate this knowledge into operational modelling, forecasting, and early-warning systems that support robust environmental decision-making.
Please reach out to collaborate 😃