Stochastic Multiscale Climate Models

Coupling an implicit low-resolution model to an explicit high-resolution ocean model

Current high-performance computers do not allow climate models to capture all relevant processes through a higher resolution or better process description. High-resolution ocean models use already near eddy-resolving horizontal resolutions (e.g. 0.1°) but many important processes such as upper ocean turbulence and sub- mesoscale eddies, are not adequately captured. In practice, ocean models need to be simulated for multiple millennia to give meaningful results for the current climate, which can only be reached with low-resolution models.

To overcome this dilemma a low-resolution model can be integrated over multiple millennia and next the solution is interpolated to start the high-resolution model at an interesting era. In this project we developed a Python interface to do so. From theory we know that interpolation errors and missing physics will be quickly recovered by the high-resolution model. However, the closer the low-resolution solution is to the one of the high-resolution model, the faster the recovery process will go. Therefore, we try to improve the low-resolution model by combining its outcomes with those learned from data generated by the high-resolution model. We tested this idea successfully for a simplified ocean model and the next step will be to add it to the advanced models.

Participating organisations

DLR
Netherlands eScience Center
University of Groningen
Utrecht University
Environment & Sustainability
Environment & Sustainability

Impact

Output

Team

Niels  Drost
Niels Drost
Programme Manager
Netherlands eScience Center
Ben van Werkhoven
Ben van Werkhoven
Senior eScience Research Engineer
Netherlands eScience Center
FW
Fred Wubs
Principal investigator
University of Groningen
Inti Pelupessy
Inti Pelupessy
eScience Research Engineer
Netherlands eScience Center
MC
Maria Chertova
eScience Research Engineer
Netherlands eScience Center
Merijn Verstraaten
Merijn Verstraaten
eScience Research Engineer
Netherlands eScience Center
Rena Bakhshi
Rena Bakhshi
eScience Coordinator
Netherlands eScience Center

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