The LEB Canal project provided an innovative irrigation management system that enhances the efficiency and sustainability of water resource use. Built on the Delft-FEWS platform, the system combines real-time data from the ARPAV monitoring network with seasonal forecasts from ECMWF to model irrigation flows and water availability across the consortium’s network.

By transforming complex climate and hydrological data into actionable insights, it serves as a powerful decision-support tool for optimising irrigation scheduling, improving water distribution, and promoting climate-resilient resource management.

The Early Warning System for ARPA Veneto enhances regional climate and hydrological monitoring through a fully integrated platform built on Delft-FEWS. The system incorporates multiple numerical weather prediction (NWP) models — including COSMO-LEPS, COSMO-5M, ARPEGE-EU, ICON-EU, ICON-D2, and ICON-I2 — to deliver high-resolution, multi-model forecasts.

It features real-time tools for assessing water balance and computing drought and water stress indices (such as SPI, SPEI, FPAR, SSPI, WSI, and WEI), alongside satellite-based monitoring of vegetation and soil conditions. Advanced modules support both historical and forecast-based analyses of extreme precipitation events, enabling accurate return period evaluations. A robust data flow management system integrates telemetry, forecast, satellite, and geospatial datasets, transforming complex information into actionable intelligence.

Together, these capabilities provide ARPA Veneto with a powerful decision-support framework for early warning, risk assessment, and climate resilience planning.

WebBasin is an advanced web-based hydrological application developed for the Civil Protection Agency of the Autonomous Province of Bolzano. The platform enables the computation of flood hydrographs across the entire provincial territory, providing accurate simulations of river and catchment responses to extreme rainfall events.

Designed to support hydrological assessments and the engineering design of hydraulic structures, WebBasin enhances planning and decision-making processes for risk management and territorial protection. By integrating scientific modeling with intuitive web accessibility, it brings cutting-edge hydrological analysis directly to practitioners and decision-makers.

The ENGAGEMENT project enhances the accuracy, resolution, and usability of climate data to assess infrastructure risks and land suitability in Italy under changing climate. Using bias adjustment, downscaling, and machine learning, it refines seasonal forecasts and long-term projections for key variables (temperature, wind, precipitation), delivering high-resolution datasets for roads, railways, energy systems, and agriculture. Results are shared via the interactive Teal web platform.

A vision for a global carbon sink while creating sustainable communities. Explore how nature-based solutions and innovative policy can help rebalance remote regions while contributing to long-term climate goals and resilient livelihoods.