Descripción del proyecto
Aprovechamiento de los modelos de observación de la Tierra e hidroecológicos para ofrecer servicios avanzados de predicción hidrológica
El proyecto PrimeWater, financiado con fondos europeos, ofrecerá sólidos productos de la observación de la Tierra (OT) y servicios transversales para la predicción operativa de extremos hidrológicos y floraciones algales nocivas en lagos y embalses. A fin de mejorar sus capacidades predictivas, PrimeWater empleará algoritmos innovadores de aprendizaje automático y técnicas avanzadas de asimilación de datos para integrar la espectometría de imágenes satelitales en la cadena de modelización. Al ofrecer mayores capacidades predictivas, PrimeWater permite que los responsables de la gestión hidrológica optimicen los servicios hídricos y se preparen mejor para los futuros cambios críticos en lo que respecta a la cantidad y la calidad del agua.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(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
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SPACE-2019
Régimen de financiación
RIA - Research and Innovation actionCoordinador
15343 Agia Paraskevi Athina
Grecia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.