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Laboratoire d’Etudes en Géophysique et Océanographie Spatiales

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by ECOLA last modified Mar 14, 2014 04:51 PM

In January 2013, a 12 days training was held in Bogor for 45 students and young scientists coming from more than 20 different institutions all over Indonesia. It was mainly funded by IRD and IFI  but also by Indonesian marine science companies and universities. Lectures were given about: general introduction to Oceanography circulation and specific features of the Indonesian seas, tidal mixing, water mass properties, air-sea fluxes, biogeochemistry, fish population dynamics, general understanding of numerical method and dynamical modelisation of the ocean and the biogeochemistry. On the afternoons, practical tutorial were organized in order for them to be able to run a simulation on their particular region of interest. We teach them about basic command using linux system and on how to set up a regional configuration using ROMS model with also a simple biology model. We explained using INDOMIX data how to go from raw to calibrated data on (1) ADCP current measurement in order to analyse the Backscatter signal which is a proxy of biomass and (2) on Turbulent mixing, using microstructure sensor. Finally, we teach them how to visualize and interpret of the results. This training was a real success but need a follow up training in order to fully form autonomous modelling community.

We encountered students eager to learn, very enthusiastic, expressing specific needs for precise regional applications. We listed few of them in the next section. They all have in common the need for regional modelisation coupling physic and biogeochemistry. One of the main achievements of the INDOMIX2013 training was to create a community of ROMS users in Indonesia. Still, this community and the modelling skills of its members   need to be re-enforced. They expressed the will to create a common forum web site between all the INDOMIX training students, in order to share their experiences as ROMS users, but also to gather all the local in-situ observations in order to create a national data bank. They need also to be able to include Tides and more complex biochemistry model.


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