Explore projects
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Matthias Mengel / isimip_sealevel
GNU General Public License v3.0 onlySea level projections for the ISIMIP2 Project
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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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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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Bedartha Goswami / uncertise
Creative Commons Attribution Non Commercial 4.0 InternationalUncerTiSe 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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Bedartha Goswami / uncertise-examples
Creative Commons Attribution Non Commercial 4.0 InternationalContains example scripts for the 'uncertise' package
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Bedartha Goswami / bayprox
GNU General Public License v3.0 onlyBayesian Proxy record estimation along with associated uncertainties
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Nikola Milojevic-Dupont / Learning from urban form to predict building heights
GNU General Public License v3.0 onlyUpdated -
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Mario Krapp / semic-project
BSD 3-Clause "New" or "Revised" LicenseUpdated -
Simple examples demonstrating cluster use (via SLURM) in different languages and computation models
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