CopERnIcus climate change Service Evolution

Digital, Industry & SpaceHORIZON-RIAID: 101082139
EC Contribution
€104,994
Consortium Size
12 orgs
Start Year
2023
Summary

The Copernicus Climate Change Service Evolution (CERISE) project aims to enhance the quality of the C3S reanalysis and seasonal forecast portfolio, with a focus on land-atmosphere coupling. It will support the evolution of C3S by improving the C3S climate reanalysis and seasonal prediction systems and products towards enhanced integrity and coherence of the C3S Earth system Essential Climate Variables. CERISE will develop new and innovative coupled land-atmosphere data assimilation approaches and land initialisation techniques to pave the way for the next generations of the C3S reanalysis and seasonal prediction systems. These developments will include innovative work on observation operators using Artificial Intelligence to ensure optimal data fusion integrated in coupled assimilation systems. They will enhance the exploitation of Earth system observations over land surfaces, including from the Copernicus Sentinels and from the European Space Agency Earth Explorer missions, moving towards an all-sky and all-surface approach. CERISE Research and Innovation will bring the C3S tools beyond the state-of-the-art in the areas of coupled land-atmosphere data assimilation, observation operators, and land initialisation methodologies. CERISE will develop diagnostic tools and prediction skill metrics that include integrated hydrological variables to go beyond the traditional skill scores to assess Earth system coupled reanalysis and seasonal prediction. It will deliver proof-of-concept prototypes and demonstrators, to demonstrate the feasibility of the integration of the developed approaches in the operational C3S. The CERISE outputs aim at medium to long-term upgrades of the C3S systems with targeted progressive implementation in the next three years and beyond. CERISE will improve the quality and consistency of the C3S reanalysis and multi-system seasonal prediction, directly addressing the evolving user needs for improved and more consistent C3S Earth system products.

Consortium (12)

Project Results (24)

Source: CORDIS, the EU research results database.

Publications (8)
A satellite-based assessment of ERA5 soil moisture and land surface temperature interannual co-variability
Environmental Research Letters· 2026DOI
Luís Fróis, Isabel F Trigo, Wouter Dorigo, Patricia de Rosnay, Emanuel Dutra
ASCAT soil moisture retrieval using deep learning: a focus on localization strategy
Frontiers in Remote Sensing· 2026DOI
Lan Anh Dinh
Advances in land surface forecasting: a comparison of LSTM, gradient boosting, and feed-forward neural networks as prognostic state emulators in a case study with ecLand
Geoscientific Model Development· 2025DOI
M. Wesselkamp; M. Chantry; E. Pinnington; M. Choulga; S. Boussetta; M. Kalweit; J. Bödecker; J. Bödecker; C. F. Dormann; F. Pappenberger; G. Balsamo; G. Balsamo
Ensemble-based snow depth data assimilation for a multi-layer snow scheme over the European Arctic
eISSN:· 2025DOI
Åsmund Bakketun; Jostein Blyverket; Malte Müller
Forward modelling of passive microwave emissivities over snow-covered areas at continental scale
Remote Sensing of Environment· 2025DOI
Iris de Gélis, Catherine Prigent, Carlos Jimenez, Melody Sandells
Soil-moisture-atmosphere coupling hotspots and their representation in seasonal forecasts of boreal summer
Climate Dynamics· 2025DOI
Day, Jonathan; Vitart, Frederic; Stockdale, Tim; de Rosnay, Patrica; Ardilouze, Constantin; Peano, Daniele; Sanna, Antonella; Fröhlich, Kristina; Andrews, Martin
Skilful seasonal streamflow forecasting using a fully coupled global climate model
Hydrology and Earth System Sciences· 2024DOI
Narváez-Campo, Gabriel Fernando; Ardilouze, Constantin
Towards unified land data assimilation at ECMWF: Soil and snow temperature analysis in the SEKF
Quarterly Journal of the Royal Meteorological Society· 2024DOI
Christoph Herbert, Patricia de Rosnay, Peter Weston, David Fairbairn
Deliverables (15)
Documents, reports
Other Results (1)
Periodic Reporting for period 1 - CERISE (CopERnIcus climate change Service Evolution)