Earth SYstem Modeling and Data Assimilation

/
What we do
/
/
/
Earth SYstem Modeling and Data Assimilation

The ESYDA division has the mission of developing numerical models and implementing their integration finalized to the construction of a state-of-the-art Earth System model (ESM) including its physical components, biosphere and cryosphere, capable of driving the international debate on climate and environmental research and, at the same time, satisfying the needs of CMCC’s research and operational activities. In addition, ESYDA has the task of developing the most advanced and innovative data assimilation systems, that leverage cutting-edge techniques and methodologies allowing the production of high–quality earth system analyses, enabling a deeper understanding of the state of the Earth System and providing the best initial conditions for skillful and reliable climate forecasts.

ESYDA will apply the modeling and data assimilation systems developed to the production of simulations, climate change projections and analyses of the ocean, atmosphere, cryosphere and land, seeking to reduce uncertainties in our knowledge of the future evolution of the Earth System and biogeochemical cycles that characterize it.

ESYDA also aims to improve conventional models using Machine Learning (ML) in a suite of approaches, for example by embedding ML components within physics-based models, coding hybrid models and emulators, developing new parameterizing for sub-grid processes.

ESYDA Projects

  • ALIENA: ALIgning Efforts to control Non-indigenous species in the Adriatic sea

    Non-indigenous species (NIS) pose a significant threat to biodiversity and ecosystems globally,…


  • FOCCUS - Forecasting and observing the open-to-coastal ocean for Copernicus users

    FOCCUS enhances CMEMS (Copernicus Marine Environment Monitoring Service), for effective uptakes from…

  • ESYDA Publications

    Fish distribution’s shifts due to climate change in the Northeast Atlantic: Using a hierarchical filtering approach on marine-estuarine opportunist species

    Janc A.; Dambrine C.; Lambert P.; Lassalle G.; Lepage M.; [...]Butenschön M., Cabral H. N.
    2024, Estuarine, Coastal and Shelf Science, doi: 10.1016/j.ecss.2024.109013


    Dakar Niño variability under global warming investigated by a high-resolution regionally coupled model

    Shunya K.; Vázquez R.; Cabos W.; Gutiérrez C.; Sein D. V.; Bachelery M.
    2024, Egusphere, doi: 10.5194/egusphere-2023-2494

    Division Director

    Silvio Gualdi

    Division Manager

    Loredana Amato

    Contacts

    Via C. Berti Pichat 6/2 – 40127 Bologna, Italy
    [email protected]
    +39 051 0301600

    Research Units

    Research Unit Leader
    Silvio Gualdi

    This group deals with the development and implementation of the atmospheric, oceanic, soil (including vegetation) and ice (marine and terrestrial) components in the CMCC ESM.

    Research Unit Leader
    Momme Butenschön

    This group has the task of developing the modeling components aimed at representing marine ecosystems and their integration with the terrestrial biogeochemical compone nts necessary for the representation of complete biogeochemical cycles as well as representing the environmental impacts of climate change and feedbacks on the climate system.

    Research Unit Leader
    Carla Cardinali

    The group’s mission is to develop and integrate the data assimilation activities of the various components of the Earth System, leading to a coupled data assimilation system across the atmosphere, ocean, land, and ice. The group’s activities include developing digital tools and workflows for the collection, management, and quality control of the observation data, both from satellite platforms and conventional sources, which will then be assimilated.

    Research Unit Leader
    Dorotea Iovino

    This group has the aim of coordinating and making coherent the developments of tools based on AI and ML for Earth System modelling conducted within the Division and integrate them with those of the CMCC AI Program.

    Start typing and press Enter to search

    Shopping Cart