Explore projects
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agrimate / Agrimate
Creative Commons Attribution 4.0 InternationalAgrimate model of agricultural markets, including pre- and post-processing scripts.
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Nikola Milojevic-Dupont / Learning from urban form to predict building heights
GNU General Public License v3.0 onlyUpdated -
Some scripts that generate tropical cyclone windfields for partners
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Compute numbers of affected people from wind field outputs of the tropical cyclone emulator
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Trade WIth STorage (TWIST) model for computation of global commodity price and storage levels Original Description: Schewe et al. 2017 Environ. Res. Lett. 12 054005, https://doi.org/10.1088/1748-9326/aa678e
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Tobias Seydewitz / hazardly
BSD 2-Clause "Simplified" LicenseImpacts on cropy yield in response to weather extremes
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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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Tobias Seydewitz / proxilly
MIT LicenseProxy 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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Bedartha Goswami / bayprox
GNU General Public License v3.0 onlyBayesian Proxy record estimation along with associated uncertainties
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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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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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Bedartha Goswami / uncertise-examples
Creative Commons Attribution Non Commercial 4.0 InternationalContains example scripts for the 'uncertise' package
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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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Simple examples demonstrating hlrs2015 cluster use (via SLURM) in different languages and computation models
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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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