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The BAtch OBserve Aggregate Package is a small framework for performing numerical experiments on dynamical systems.
Simulation runs are grouped in batches, observed locally and the observations then aggregated.
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The plume model after Jenkins, 2011 (DOI: 10.1175/JPO-D-11-03.1) and Cowton, 2015 (DOI 10.1002/2014JC010324) written in python for runge-kutta method.
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Simple examples demonstrating hlrs2015 cluster use (via SLURM) in different languages and computation models
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UncerTiSe contains Python modules to help analyze time series with uncertainties - developed under the DFG Project "Impacts of uncertainties in climate data analyses (IUCliD)" (DFG MA4759/8).
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Contains example scripts for the 'uncertise' package
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Codes and data files necessary to generate figures of tutorial review on nonlinear time series analysis using recurrence plots published in Vibration.
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Project: Areawise significance tests for recurrence network analysis Jaqueline Lekscha and Reik V. Donner code for analyses performed in corresponding paper (submitted to Proceedings of the Royal Society A)Updated
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Code repository accompanying the publication: "Network-induced multistability: Lossy coupling and exotic solitary states"
arXiv:1811.11518 [nlin.AO]
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Bayesian Proxy record estimation along with associated uncertainties
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Proxy server for the model API of the EUCalc project. Manages persistent storage of the model results and performs basic load balancing.
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temporary repo to overcome git lfs quota issues on github
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Emulate tropical cyclone activity at specified levels of global warming. The emulator is calibrated using the probabilistic tropical cyclone activity along climate model scenarios.
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