· 1 min read
dissemination
  • Zambrano-Bigiarini, M. Enero 2026. Escuela de verano Eventos climáticos extremos: Impactos, adaptación y resiliencia desde un enfoque interdisciplinario. Santiago, Chile. Parte de las activides del Simposio Internacional Clima y Resiliencia: el futuro se hace presente, Santiago, Chile, 6-16 Enero 2026.

  • Zambrano-Bigiarini, M. November 2025. Curso Uso de R para análisis de datos espacio-temporales: aplicación a precipitación de CR2Met2.5. Santiago, Chile. Parte de las activides del Simposio Internacional Clima y Resiliencia: el futuro se hace presente, Santiago-Viña del Mar, Chile, 3-7 November 2025.

  • Zambrano-Bigiarini, M. October 2025. Curso Uso de R para análisis de datos espacio-temporales: aplicación a datos diarios CR2Met2.5. Concepción, Chile. Parte de las activides del XXVII Congreso Chileno de Ingeniería Hidráulica, Concepción, Chile, 20-25 October 2025.

  • Zambrano-Bigiarini, M. January 2017. R.I.N° EXS17-0479. EduNexus International Summer School: Understanding and Modelling the Water-Energy-Food Nexus. Temuco, Chile.

Dr. Mauricio Zambrano-Bigiarini
Authors
Associate Professor

I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera, where I lead the Water Resources Observatory Kimün-Ko. 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 😃