Adaptive Time Step Algorithms for the Simulation of marine Ecosystem Models using the Transport Matrix Method Implementation Metos3D
Markus Pfeil, Thomas Slawig

TL;DR
This paper introduces adaptive time step algorithms for marine ecosystem simulations using the Transport Matrix Method, significantly reducing runtime while maintaining accuracy, and eliminating manual time step selection.
Contribution
It presents novel adaptive and automatic time step algorithms for TMM-based marine ecosystem models, improving efficiency without sacrificing accuracy.
Findings
Adaptive methods achieve the same accuracy as fixed time step solutions.
Runtime is significantly reduced for complex models.
Adaptive methods may have higher overhead in some cases.
Abstract
The reduction of the computational effort is desirable for the simulation of marine ecosystem models. Using a marine ecosystem model, the assessment and the validation of annual periodic solutions (i.e., steady annual cycles) against observational data are crucial to identify biogeochemical processes, which, for example, influence the global carbon cycle. For marine ecosystem models, the transport matrix method (TMM) already lowers the runtime of the simulation significantly and enables the application of larger time steps straightforwardly. However, the selection of an appropriate time step is a challenging compromise between accuracy and shortening the runtime. Using an automatic time step adjustment during the computation of a steady annual cycle with the TMM, we present in this paper different algorithms applying either an adaptive step size control or decreasing time steps in order…
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Taxonomy
TopicsMarine and coastal ecosystems · Scientific Research and Discoveries · Ocean Acidification Effects and Responses
