Oral presentation at AGU 2017
During the second week of December 2017, I made an oral presentation at the American Geophysical Union (AGU) 2017 Fall Meeting in New orleans (USA), the most important scientific event of Earth Sciences worldwide.
The work was entitled Contribution of Temperature to Chilean Droughts Using Ensemble Climate Projections (Final paper number H11O-06). It uses two drought indices to analyze the impacts of precipitation and temperature on the frequency, severity and duration of Chilean droughts (25°S-56°S) during the XXI century, using multi-model climate projections consistent with the high-end RCP 8.5 scenario.
In addition, I participated as co-author in the work Temporal and spatial evaluation of satellite rainfall estimates over different regions in Latin-America) (Final paper number H52G-04), which evaluate several sate-of-the-art satellite-based rainfall estimates (TMPA 3B42v7, TMPA 3B42RT, CHIRPSv2, CMORPH, PERSIANN-CDR and MSWEPv1.2) over different basins in Latin-America (Imperial Basin in Chile, Paraiba do Sul in Brazil and Magdalena in Colombia) to determine the best performing satellite product.
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 😃