- Bertoni, Giuliani, Castelletti: Integrating operation design into infrastructure planning to foster
robustness of planned water systems
- Bertoni, Giuliani, Castelletti: Scenario-based fitted Q-iteration for adaptive control of water reservoir
systems under uncertainty
- Denaro, Castelletti, Giuliani, Characklis: Financial tools to induce cooperation in power asymmetrical water systems
- Giudici, Anghileri, Castelletti, Burlando: On the effects of adaptive reservoir operating rules in hydrological physically-based models
- Giuliani, Castelletti, Fedorov, Fraternali: How much can a single webcam tell to the operation of a water system?
- Luchner, Anghileri, Castelletti: Determining effective forecast horizons for multi-purpose reservoirs with short- and long-term operating objectives
- Mason, Bizzi, Cominola, Castelletti, Paik: Exploring 3D optimal channel networks by multiple organizing principles
- Samale, Zimmerman, Giuliani, Castelletti, Block: Improving seasonal forecast through the state of large-scale climate signals
- Squeri, Giuliani, Castelletti, Pulido-Velazquez, Garcia-Marcos, Macian-Sorribes: Assessing the skill of seasonal meteorological forecast products for predicting droughts and water scarcity in highly regulated basins
- Zaniolo, Giuliani, Castelletti: Designing basin-customized combined drought indices via feature
- Arnal, Pappenberger, Ramos, Cloke, Crochemore, Giuliani, Aalbers: Pathways to designing and running an operational flood forecasting system: an adventure game!
- Herman and Giuliani: Policy tree optimization for adaptive management of water resources systems
We just published a new paper where we contrast the direct use of snow related information in a free model fashion with perfect streamflow forecasts in the operation of Lake Como. Lake Como is a snow-dominated system operated for flood control and water supply. The results of our research show that using the available observational data capturing slow dynamic processes, particularly the snow melting process, produces a 10% improvement in the system performance. This latter represents the lower bound of the potential improvement, which may increase to the upper limit of 40% in case skillful (perfect) long-term streamflow forecasts are used. More info HERE
We collaborated in this new paper where a unique regional database of continuous hydromorphological variables (HyMo DB) based on areal and topographic data has been generated from RS analysis. In view of future RS acquisitions, this type of hydromorphological characterization will allow regional trends and patterns to be highlighted through time and river management strategies to thus be implemented at both regional and local scales.
Luca Demarchi, Simone Bizzi and Hervé Piégay, Regional hydromorphological characterization with continuous and automated remote sensing analysis based on VHR imagery and low-resolution LiDAR data ESPL, Version of Record online: 29 JAN 2017 | DOI: 10.1002/esp.4092
The DAFNE project, which was launched the last October, is running the first stakeholder meeting in Lusaka, Zambia. Andrea Ca., Enrico, Marco and Federica will be involved in two intense days of workshops and interactions with more than twenty stakeholders from the Zambezi river basin including the Minister of Water Development, Sanitation and Environmental Protection, ZAMCOM, SADAC and many other key actoers. The objective of the meeting is to engage stalekdeors, identify the key hotsposts in the basin and to start collecting data.