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OPTCLIMSO Optimisation Framework

Authors: Oliver, Sophy; Tett, Simon;

OPTCLIMSO Optimisation Framework

Abstract

This archive contains the optimisation framework used to couple any climate model to any optimiser, and was originally sourced from Tett et al. (2013). The current version of the software is available at https://github.com/SimonTett/ModelOptimisation. This was edited to couple MOPS to CMA-ES and DFO-LS, which is available at https://github.com/SophyOliver/OptClim (see the user guide OptClim_UserGuide.pdf). The CMA-ES optimisation framework was from the Supplement of Kriest et al. 2017 (https://doi.org/10.5194/gmd-10-127-2017), though the script cmaes.cpp was edited to make it compatible with OptClim (available in OptClim/cmaes). The most recent DFO-LS source code is available at https://github.com/numericalalgorithmsgroup/dfols. In this archive: OptClim/OptClimSO and OptClim/OxfordMOPS contain python Optclim scripts necessary for the Optclim package. OptClim/OPTCLIMSO_PlottingScripts contains MATLAB plotting scripts used to create results figures of these experiments. OptClim/OptCLim_UserGuide.pdf is a user guide on how to use OptClim. Example .json files and run scripts are available at: https://github.com/SophyOliver/OptClim.

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Numerical optimisation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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