HYDROSIM

**A balanced management of water resources must be based on good knowledge and monitoring of their quality and quantity ** Difficulties of access, cost and maintenance of equipment are often at the root of inadequate deployment of water information systems. Today's cutting-edge technologies combine the use of data from space altimetry (precision, low cost, deployment in inaccessible areas, etc.) and more conventional ground-based measurement systems. The aim of the HYDROSIM project was to evaluate and valorize the use of satellite data, in various forms, for water resource management on the scale of a watershed (Amazon).

The aim was to deliver high-level indicators for this basin (flow, water quality, erosion...) based on hydrological models and in-situ and spatial data updated in real time, through a platform developed with WIMES. This software platform is designed to help local and national players with medium- and long-term planning and forecasting of water flows, stocks and quality throughout the Amazon basin. This makes it possible to apply flood and drought risk management at different scales.

Satellite data are becoming increasingly essential for hydrological studies, whatever their objectives (water resource management, flood forecasting, etc.). These data have the advantage of covering territories that are difficult to access and where no other information has been (or can be) measured (water level, rainfall, temperature). The use of these data raises several questions: How can their quality be assessed? What relevance does it have in relation to available ground data? How can they be corrected? Etc.

• Collection and analysis of hydrometric and climatological data from ground stations.
• Collection of climatological data from space and comparison with data from ground stations.
• Recalibration of climatological data from space with data from ground stations.
• Rainfall-flow modeling (GR model).
• Rationalization of hydrometric network combining in situ and virtual stations (altimetry).
• Production of flow records at virtual stations by regionalization of GR model parameters (rain-flow).
• Development of the service platform using the [WIMES] software solution (http://wimes.fr).