Ph.D. candidate in Ingegneria Civile E Ambientale , 37th cycle (2021-2024)
Department of Environment, Land and Infrastructure Engineering (DIATI)
Research Assistant
Department of Environment, Land and Infrastructure Engineering (DIATI)
Profile
PhD
Thesis title
Novel post-processing applications in weather science
Research topic
Post-processing in hydrology: from limited area precipitation forecast to global moisture tracking.
Tutors
Research interests
Biography
Following my graduation, I had the opportunity to work as a research fellow at ARPA Piemonte, the regional environmental protection agency. My role involved the development of meteorological verification products aimed at supporting civil protection efforts. In this capacity, I was responsible for analyzing meteorological data, developing verification methods, and creating tools that could be used in real-time to assess the accuracy and reliability of weather forecasts. This work was crucial in enhancing the preparedness and response strategies for natural disasters, particularly those related to extreme weather events.
Currently, I am pursuing a PhD where I focus on the post-processing of meteorological forecasts using advanced machine learning techniques. My research aims to improve the accuracy of weather predictions by refining raw forecast data through sophisticated algorithms. Additionally, I work on models that track global moisture flows, analyzing how water vapor is transported from regions of evapotranspiration to areas of precipitation. This research is essential for understanding the global water cycle and its implications for climate change, agriculture, and water resource management.
In parallel with my research, I also conduct training courses in Python and Machine Learning, specifically tailored for applications in meteorology and climate science. These courses are designed to equip professionals and students with the skills necessary to leverage computational tools in their work, fostering a new generation of scientists who can effectively tackle the challenges posed by climate change and environmental degradation.
Through my work, I aim to contribute to the scientific community's understanding of the Earth's atmosphere and climate system, providing valuable insights that can aid in the development of more accurate and reliable weather forecasts. My ultimate goal is to apply this knowledge to mitigate the impacts of climate change and to help build a more resilient and sustainable future.
Publications
Latest publications View all publications in Porto@Iris
- De Petrillo, Elena; Fahrländer, Simon; Tuninetti, Marta; Andersen, Lauren S.; Monaco, ... (2024)
Reconciling tracked atmospheric water flows to close the global freshwater cycle. In: NATURE. ISSN 1476-4687
Contributo su Rivista - Monaco, Luca; Cremonini, Roberto; Laio, Francesco (2024)
Precipitation forecast post-processing: blending deterministic NWPs with machine learning. In: European Geosciences Union Assembly 2024, Vienna
Contributo in Atti di Convegno (Proceeding) - Fahrländer, Simon Felix; De Petrillo, Elena; Tuninetti, Marta; Andersen, Lauren Seaby; ... (2024)
Reconciling bilateral connections of atmospheric moisture within the hydrological cycle. In: European Geosciences Union Assembly 2024, Vienna
Contributo in Atti di Convegno (Proceeding) - Monaco, Luca; Cremonini, Roberto; Laio, Francesco (2023)
Towards a machine learning based multimodel for precipitation forecast over the italian peninsula. In: European Geosciences Union General Assembly 2023, 24–28 Apr 2023
Contributo in Atti di Convegno (Proceeding) - Giulia Pelosi, Maria; Monaco, Luca; Carlino, Angelo; Castelletti, Andrea (2019)
Improved energy-water modelling for hydropower capacity expansion planning under climate change: a case study in the Zambezi River Basin. In: European Geosciences Union General Assembly 2019
Contributo in Atti di Convegno (Proceeding)