Earth observations - Data assimilation
Funded projects
EU Horizon 2020
2019-2022 “PrimeWater: Delivering advanced predictive tools from medium to seasonal range for water dependent industries exploiting the cross-cutting potential for EO and hydro-ecological modelling”, (nr 870497), 2 M Euros, 10 partners (PI)
2019-2022 “HYPOS: Hydro-Power-Suite”, (nr 870504), 2 M Euros, 5 partners (co-PI)
2019-2023 “E-SHAPE Showcases: Applications powered by Europe”, (nr 820852), 15 M Euros, 55 partners (PI)
2016-2019 “IMPREX: Learn from today to anticipate tomorrow”, (nr 641811), 8 M Euros, 23 partners (SMHI’s co-Project Manager)
2016-2018 “Space-O: Space assisted water quality forecasting platform for optimized decision making in water supply services”, (nr 603663), 2 M Euros, 8 partners (PI)
Copernicus Programme Emergency Management Service (CEMS) and Climate Change Service (C3S)
2022-2028 “CEMS Hydrological Forecast Centre – Analytics and Dissemination”, (nr JRC/IPR/2020/OP/3195), 3.5 M Euros, SMHI as Contractor (co-PI)
EU Horizon 2020
2019-2022 “PrimeWater: Delivering advanced predictive tools from medium to seasonal range for water dependent industries exploiting the cross-cutting potential for EO and hydro-ecological modelling”, (nr 870497), 2 M Euros, 10 partners (PI)
2019-2022 “HYPOS: Hydro-Power-Suite”, (nr 870504), 2 M Euros, 5 partners (co-PI)
2019-2023 “E-SHAPE Showcases: Applications powered by Europe”, (nr 820852), 15 M Euros, 55 partners (PI)
2016-2018 “Space-O: Space assisted water quality forecasting platform for optimized decision making in water supply services”, (nr 603663), 2 M Euros, 8 partners (PI)
Recommended references
Musuuza J., Gustafsson D., Pimentel R., Crochemore L., Pechlivanidis I.G., 2020, ‘Impact of satellite and in-situ data assimilation on hydrological predictions’, Remote Sensing, 12, 811, https://doi.org/10.3390/rs12050811
Nijzink R.C., Almeida S., Pechlivanidis I.G., Capell R., Gustafsson D., Arheimer B., Parajka J., Freer J., Han D., Wagener T., Nooijen R.R.P., Savenije H.H.G., Hrachowitz M., 2018, ‘Constraining conceptual hydrological models with multiple information sources’ Water Resources Research, 54 (10), https://doi.org/10.1029/2017WR021895