Workshop on Efficient Management of Water Resources (Vallenar)
Workshop on Efficient Management of Water Resources
On June 28th 2019 I made an oral presentation at the workshop “Efficient Management of Water Resources: a challenge against Climate Change”, organised by the University of Atacama and carried out at Vallenar in the Atacama region.
This workshop was funded by the Regional Government of Atacama in the framework of the finalization activity of the FIC Project “Laboratorio para el estudio hídrico de la Cuenca, uso eficiente, monitoreo y predicción de caudales aplicando Modelo de Redes Neuronales Artificiales y Snow Runoff Model Nasa para la cuenca del Río Huasco, Región de Atacama, Chile”.
My presentation was entitled “Space-time evaluation of IMERGv05-F satellite precipitation estimates over different climates and the complex topography of Chile”, which discussed the improvement of the lastest satellite estimates derived from the Global Precipitation Measurement (GPM) mission. In the afternoon, a hands-on training was carried out aimed at local stakeholders.
More information here.
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 😃