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In recent decades, the watershed of the Rhône River, upstream of Lake Geneva in Switzerland, has suffered three major floods that have caused damages for over 500 million dollars. This led to the third correction of the Rhône River, which aims to improve f ...
Floods are responsible for one third of the economic losses induced by natural hazards throughout the world. To better protect the population and infrastructures, flood forecasting systems make us of weather forecasts to foresee floods several days in adva ...
To forecast riverine floods, short-range forecasts are normally provided. In such cases the initial hydrological conditions highly influence the predictability of a flood event. The study evaluates the potential of an ensemble Kalman filter (EnKF) for the ...
2019
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L’étude présentée propose des solutions à certains défis rencontrés dans le cadre du système de prévision et de gestion des crues MINERVE du Canton du Valais, opérationnel depuis 2013. Le premier axe de recherche est dédié à l’interpolation spatiale des pr ...
2020
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Increasing meteorological data availability and quality implies an adaptation of the interpolation methods for data combination. In this paper, we propose a new method to efficiently combine weather radar data with data from two heated rain gauge networks ...
2018
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One of the key success factor for hydrological forecasts is the establishment of initial conditions that represent well the conditions of the simulated basin at the beginning of the forecast. Real-time Data Assimilation (DA) has been shown to allow improvi ...
Flood forecasting systems are today recognized as a key element in natural hazard mitigation. The objective is to exploit the available observed and forecasted meteorological information to foresee river discharges up to several days in advance, using a hy ...