Artificial Intelligence and precipitation forecasting: a new multimodel approach

International Centre for Environmental Monitoring

CIMA Research Foundation is a research organization concerned with the study, prediction and prevention of climate change-related hazards such as floods, forest fires, droughts, and loss of terrestrial and marine biodiversity.

years
of research and development

human resources
from different countries

institutions
with which we collaborate

active projects
in the last year

FOCUS ON

Drought

Early Warning

AMHEWAS

Sudan

Latest news

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Articles and papers

Monaco, L., Bindi, G., Cremonini, R., Barbero, S., Laio, F. Exploring the viability of a machine learning-based multimodel for quantitative precipitation forecast post-processing, Mach. Learn.: Earth 1 015011 (2025) https://doi.org/10.1088/3049-4753/ae1980

Mustich, F., Battaglia, A., Manconi, F., Kollias, P., Parodi, A. Convective–Stratiform Identification Neural Network (CONSTRAINN) for the WIVERN Mission, Remote Sensing, 17(15), 2590 (2025) https://doi.org/10.3390/rs17152590

Fischer, J., Groenemeijer, P., Holzer, A., Feldmann, M., Schröer, K., Battaglioli, F., Schielicke, L., Púčik, T., Antonescu, B., Gatzen, C., and TIM Partners: Invited perspectives: Thunderstorm intensification from mountains to plains, Nat. Hazards Earth Syst. Sci., 25, 2629–2656 (2025) https://doi.org/10.5194/nhess-25-2629-2025

Devecchi, M., Dagnino, E., Milelli, M., Soini, K., Parodi, A. Climate Change Education in a Secondary School, the I-CHANGE Project Approach, Eur J Educ, 60: e12875 (2025) https://doi.org/10.1111/ejed.12875

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Projects

Inventory of Drought Impacts and Vulnerability

The project supports FAO in developing guidelines and tools for building Impact and Vulnerability (I&V) data inventories on drought.

Air and coupled ocean-wave Ligurian Integrated forecast System for Environmental cOastal prediction

The project develops an integrated operational service for high-resolution atmospheric and oceanographic forecasting service along the Ligurian coast, with a special focus on the Cinque Terre National Park.

High-Resolution Early Precipitation-to-Flood Signals

The project aims to leverage the new operational meteorological products developed within the ECMWF Digital Twin (DT) Extremes framework to support decision-making in the assessment of extreme weather impacts, with a particular focus on flood events.

Enhancing Forecast Precision and Data Usability with AI-based Multi-Model Data Fusion for Destination Earth

The project is part of the European Programme Destination Earth and focuses on developing an advanced system that integrates multiple forecast model outputs into a single optimized product.

Artificial Intelligence and precipitation forecasting: a new multimodel approach

International Centre for Environmental Monitoring