Assistant Professor @eiPolimi #MachineLearning applied to environmental systems
Joined February 2013
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New paper out in Environmental Modelling and Software: Transfer learning in environmental data-driven models: A study of ozone forecast in the Alpine region.
Link: dx.doi.org/10.1016/j.envsoft…
Matteo Sangiorgio retweeted
Nutrient and irrigation inputs can enhance crop growth, yet their role in adapting crop production is overlooked. We develop an integrated strategy by optimizing irrigation and nitrogen inputs to provide sustainable solutions for climate adaptation nature.com/articles/s43016-0…
Matteo Sangiorgio retweeted
📢 Aprende a gestionar nexo agua-energía-alimentos-ecosistemas, esencial para enfrentar los retos del #CC.
🗓️ 15-17 de enero 2025
👩🏫👨🏫Expertos de ETH Zurich, POLIMI, UPM y la UPV
📚 Convalidable por 2 ECTS
💶 Precios reducidos
🙌¡Últimos días para ✍️!
🔗 tinyurl.com/af54zvbv
Matteo Sangiorgio retweeted
#MostViewedPapers in Forecasting MDPI
"Forecasting Convective Storms Trajectory and Intensity by Neural Networks",
by Dr. Matteo Sangiorgio @teos1992 from Politecnico di Milano @polimi, et al.
🔗 mdpi.com/2571-9394/6/2/18
Matteo Sangiorgio retweeted
#mdpiforecasting Article
Forecasting Convective #Storms #Trajectory and Intensity by Neural Networks
by Prof. Dr. Giorgio Guariso, Dr. Matteo Sangiorgio and Niccolò Borghi from Politecnico di Milano
👉 mdpi.com/2571-9394/6/2/18#
#weatherforecasting #neuralnetwork #radarreflectivity
Matteo Sangiorgio retweeted
I'm excited and honored to welcome Andrea Citrini as a postdoc to my team at @carnegiescience #Stanford. Andrea brings extensive expertise in hydrology and water resources. We are thrilled to have Andrea on board and look forward to collaborating with him lorenzo-rosa.wixsite.com/cur…
Matteo Sangiorgio retweeted
📢We are looking for a highly motivated postdoctoral researcher with an interest in #IceOcean and #IceAtmosphere interactions!
🌍The position will be based at CECI/CERFACS (@CerfacsOfficial) in Toulouse, France.
More information and application deadline: emploi.cnrs.fr/Offres/CDD/UM…
Happy to share our work on predicting convective thunderstorm evolution using Neural Networks.
Open access version here: lnkd.in/dURsGNp4
Our predictive model has been specifically tailored to the @MeteoSvizzera thunderstorm tracking system and can forecast the convective cell trajectory, radar reflectivity (a proxy of the storm intensity), and area.
The work has been developed in the context of the ICREN project - Intense Convective Rainfall Events Nowcasting (coordinator @giovanna_venuti).
Matteo Sangiorgio retweeted
È tempo di un nuovo #aggiornamento sullo stato della risorsa idrica nivale in #Italia! Abbiamo superato il picco di marzo-aprile con un surplus importante (+42%), quindi tiriamo le somme per quest’anno.
Ecco 4 lezioni che abbiamo imparato e 3 messaggi per i prox mesi!
Thread🧵👇
Matteo Sangiorgio retweeted
😊Happy to be there📍Join us in person or via Zoom 💡Everyone's welcome to enrich the discussion! #socialdata #narratives #behavior #modelling #climatechange @eiPolimi @hydroaholics @Gappix
We're looking forward to the next META Lecture by @SanRicCas (@polimi):
'Not everything that counts can be counted’? Qualitative data for behavior modelling on climate change
📅 May 21
🕑5pm
📍Aula Schiavoni, Building 20 (Leonardo)
Info on our website
We investigate the possibility of training a model in a data-rich site and reusing it, without retraining or tuning, in a new data-scarce site.
To this aim, we introduce the concept of transferability matrix and derive transferability indicators.
Matteo Sangiorgio retweeted
Luca Bianchi presenting our machine learning framework to identify the drivers of Arctic sea ice dynamics at #EGU24
Read more about our work here: meetingorganizer.copernicus.…
Interested in Arctic sea ice modeling by machine learning and feature selection techniques? Come to our poster #EGU24 tomorrow (Thu, 18 Apr) at 10:45 - Hall X4 (X4.27). See you there!!!
Abstract here
meetingorganizer.copernicus.…
How can we assess the impact of droughts on complex water systems? Which are the most relevant drought features? Can we evaluate the effect of adaptation measures? We tackled these questions in our #EGU24 presentation.
Find out more at meetingorganizer.copernicus.…
