MPI fΓΌr Meteorologie · @MPI_Meteo
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The latest generation of have more parallel computing power than ever before. How can we utilise these machines to run more insightful Earth System Models?

Using a case study with biogeochemistry coupled to the ICON-O ocean model, our computer scientist Leonidas Linardakis shows that coarse grained concurrency is a versatile, simple and effective answer. Read more in their paper here: gmd.copernicus.org/articles/15

#supercomputers #hamocc #concurrency #parallelcomputing #climate #computerscience

Last updated 1 year ago

@helmholtz @MPI_Meteo
ICON-Coast encompasses all areas around the globe within ocean-biogeochemistry model naturally accounting for two-way coupling of ocean-shelf feedback mechanisms at the global scale.

Results are more realistic (compared to coarser MPI-ESM) in representing a number of variables: the position of the front in the coastal ocean and the strength of the .
This enhances the realism of the modeled ocean .
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#carboncycle #stratification #seasonal #tidal #hamocc #coastal

Last updated 2 years ago