Management requires foresight. INDESO uses models for forecasting the ocean and predicting changes in marine resources. These models can accurately forecast:

  • The physical ocean. The ocean model used by INDESO is a "regional" version of the OPA/NEMO global ocean circulation model. This regional model was developed by France (MERCATOR OCEAN) and is now used to simulate very accurately (at high resolution) ocean circulation around the world.
     
  • Its biochemistry. The biogeochemical model developed for ocean forecasting and analysis at INDESO is accurate to a twelfth of a degree (horizontal resolution). It can analyze and predict the biogeochemical state of the ocean in 3D for the next 10 days. This model is updated daily and provides INDESO’s scientists with information on 18 biogeochemical parameters, including chlorophyll, phytoplankton, phosphate, nitrate, ammonium, silicate, oxygen, iron and Ph levels.
     
  • Population dynamics of certain marine species.
    These models are the great innovations of the INDESO project. They can forecast spatio-temporal changes in stocks of three tuna species: bigeye (Thunnus obesus), yellowfin (Thunnus albacares) and skipjack (Katsuwonus pelamis).
    The models for these three species are regional versions of the SEAPODYM model (Bertignac et al 1988; Lehodey et al 2008; 2010; Senina et al 2008). They simulate changes in the three populations according to pressure on stocks caused by fishing (catches), ocean variability and climate variability.

These three models are forced by the distribution of the micronekton biomass. This information itself comes from a model (an ocean model of zooplankton and micronekton that is another regional version of the SEAPODYM model).
The distribution of the micronekton biomass is therefore available for several groups, characterized by their daily vertical migration behavior between the surface and a depth of 1000m.