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Sea level projections for the ISIMIP2 Project

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.

Typed Data Transfer library, imported from Subversion

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.

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)

Code repository accompanying the publication: "Network-induced multistability: Lossy coupling and exotic solitary states"

arXiv:1811.11518 [nlin.AO]

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).

Contains example scripts for the 'uncertise' package

Bayesian Proxy record estimation along with associated uncertainties

Python for Power System Dynamics

Port of selected IdrisLibs components to Python

AMOC time series for IPCC AR6

Simple examples demonstrating cluster use (via SLURM) in different languages and computation models