Obiettivo The modelling community achieved steady progress in dynamical climate prediction using Earth System models and the last decade has seen an accelerated development for the land surface component. This has led to predictions that are now considered useful for some societal applications over “hot-spot” land areas such as the Euro-Mediterranean. However, forecasts performance over land is still substantially weaker compared with ocean, due to the lack of observations, which has hampered the development of well-constrained land processes models. While benefiting from daily verification, the models used for the prediction of the short time-scales (from weather to seasons) include only that part of the surface variability for which observations are available and that can be modeled/initialized to positively contribute to the forecasts (verification-based approach). As a consequence, they unavoidably lack some processes such as those related to ecosystems and their variability. On the other hand, longer time-scales (interannual to centennial) models used for climate variability/change research contain comprehensive vegetation and soil schemes intended to represent as many processes as possible, even those that are still poorly constrained or understood. Through the synergy between process-based and verification-based approaches the ambitious objective of this project is to obtain a practicable seamless development across scales of the land modelling applied to Earth System predictions. The main goal will be to obtain verifiable land processes models to enhance the performance of the predictions across scales and to demonstrate unprecedented useful applications for the energy sector. A fundamental contribution to fill in the gap between short- and long-term Earth System predictions will come from the emerging availability of reliable land surface observations from remotely sensed satellite campaigns that will provide novel observational constraints to land processes models. Campo scientifico engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technologynatural sciencesearth and related environmental sciencessoil sciencesland-based treatmentnatural sciencesbiological sciencesecologyecosystemsnatural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changesnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software Programma(i) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Argomento(i) MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Invito a presentare proposte H2020-MSCA-IF-2015 Vedi altri progetti per questo bando Meccanismo di finanziamento MSCA-IF-EF-ST - Standard EF Coordinatore KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUUT-KNMI Contribution nette de l'UE € 177 598,80 Indirizzo UTRECHTSEWEG 297 3731 GA De Bilt Paesi Bassi Mostra sulla mappa Regione West-Nederland Utrecht Utrecht Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 177 598,80