The "Sub-regional Mediterranean Sea Indicators" tool is dedicated to the monitoring and visualization of multivariate and sub-regional ocean indicators in the Mediterranean Sea and around the Balearic Islands (see sub-regions in Figure 1). This operational product consists in providing continuous information about the ocean state and variability from daily (events) to interannual/decadal (climate) scales in a simple way that could be consulted by the scientific community, educators in marine science, decision-makers and environmental agencies.

Figure 1: Bathymetry (in m) in the Mediterranean Sea with the sub-regions (black boxes) & sections (red lines) used for the indicators: eastern & western Mediterranean (EMED & WMED), north-western Mediterranean (NWMED), Balearic Islands region (including the Cabrera Island National Park), Algerian sub-basin, Alboran Sea, Ibiza & Mallorca Channels (IC & MC).

The region currently addressed (Fig.1) are:
  • Mediterranean Sea
  • Western and eastern parts
  • Balearic Islands, Cabrera Island National Park
  • Adjacents basins of the Balearic Islands

    The physical & biogeochemical ocean variables of interests are:
  • Surface data (sea surface temperature, chlorophyll-a concentration, currents, sea level and wind) from satellite products (CMEMS)
  • Vertically integrated data (heat & salt contents, mixed layer properties, water mass transports) from in situ observations (SOCIB, Met-Office)

    User-friendly diagnostics (2D map & time series) at various time scales
  • Daily mean monitoring: ocean weather and extreme event detection
  • Monthly/seasonal monitoring: monthly/seasonal variability
  • Annual mean monitoring: interannual variability and trend

    Citation Juza, M. and Tintoré, J. (2021). Multivariate sub-regional ocean indicators in the Mediterranean Sea: from event detection to climate change estimations, Frontiers in Marine Science, 8:610589,

    Acknowledgments Part of this work was supported by the EuroSea and JERICO-S3 projects. These projects have received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 862626 and 871153, respectively.

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