Project description
Exploiting EO and hydro-ecological modelling for delivering advanced water forecasting services
The EU-funded PrimeWater project will provide robust EO products and cross-cutting services for operational forecasting of hydrological extremes and Harmful Algae Blooms in lakes and reservoirs. Aiming to improve forecasting skill, PrimeWater will employ innovative machine learning algorithms and advanced Data Assimilation techniques for integrating satellite imaging spectrometry into the modeling chain. By providing increased predictive capabilities, PrimeWater allows water managers to optimize downstream water services and better prepare against forthcoming critical changes in water quantity and quality.
Objective
PrimeWater aims to maximize the potential of the Earth Observation (EO) technologies for the water sector by enhancing and expanding the information base for inland water quality attributes, through advanced physics-based algorithms that integrate multi- and hyper-spectral imagery from satellite, airborne and ground-based sensors, increasing the situational intelligence of water regulators, emergency planners, water-related industry professionals and local communities.
PrimeWater aspires to further add value to EO data and other Copernicus sectoral services through cross-cutting research with Data Assimilation (DA) and Machine Learning (ML) techniques aiming at improving the skill of hydro-ecological forecasts and their related impact at different spatial scales and time horizons, and hence improve preparedness against water hazards and enhance the capacity of decision-making through uncertainty information.
PrimeWater will establish a complete value chain linking science with the water business sector, ensuring the co-development of products and services through continuous and efficient interaction and communication with water professionals across the globe and in-depth analysis of the intrinsic barriers for the wide market uptake of EO-enabled services in the water sector. As a result PrimeWater will deliver water intelligent services that capitalize on advanced EO data products and intersections with other data sources, will build on cause-effect analyses through diagnostic modelling tools, and will utilize predictive and prescriptive calculations by integrating forecasting capabilities with planning and scenario analysis.
Fields of science
- natural sciencesearth and related environmental scienceshydrology
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
- H2020-EU.2.1.6. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space Main Programme
- H2020-EU.2.1.6.1. - Enabling European competitiveness, non-dependence and innovation of the European space sector
- H2020-EU.2.1.6.4. - Enabling European research in support of international space partnerships
- H2020-EU.2.1.6.3. - Enabling exploitation of space data
Funding Scheme
RIA - Research and Innovation actionCoordinator
15343 Agia Paraskevi Athina
Greece
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.