Framework for marine heat wave EVEnts integrating Remote SEnsing and numericAl simulations (FEVERSEA)

Marine Heat Waves (MHWs) induce significant impacts on marine ecosystems. There is a growing need for knowledge about extreme climate events to better inform decision-makers on future climate-related risks. MHWs research is still in its infancy: the extreme temperature anomalies are usually examined individually in terms of their definition, physical and climate drivers and ecological impacts, and the prediction of these extreme events is very challenging.

In this context, FEVERSEA aims to provide a global assessment of MHWs under a consistent framework by combining data sets generated within the ESA SST_CCI, SSS_CCI, SeaLevel_CCI and OceanColour_CCI activities, European EO datasets (e.g. GLOBCURRENT, ERS1-2, ASCAT), non-European EO datasets (QUIKSCAT) and model simulations (ocean reanalyses, atmospheric reanalyses and CIMP6 coupled models). The main goals of FEVERSEA project are:

  1. to study and to document MHWs extreme events: surface and sub-surface observed characteristics and ecological impacts
  2. to detect the local and large-scale climate precursors
  3. to exploit the potential of novel deep machine learning method in a prediction framework

Research fellow: Guilia Bonino

Host Institute: Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici