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pycopancore: Reference implementation of the copan:CORE World-Earth modelling framework

Authors
/persons/resource/jannes.breier

Breier,  Jannes       
Potsdam Institute for Climate Impact Research;

/persons/resource/luana.schwarz

Schwarz,  Luana
Potsdam Institute for Climate Impact Research;

Hotz,  Ronja
External Organizations;

/persons/resource/Max.Bechthold

Bechthold,  Max       
Potsdam Institute for Climate Impact Research;

/persons/resource/heitzig

Heitzig,  Jobst       
Potsdam Institute for Climate Impact Research;

/persons/resource/Donges

Donges,  Jonathan Friedemann       
Potsdam Institute for Climate Impact Research;

/persons/resource/Wolfram.Barfuss

Barfuss,  Wolfram       
Potsdam Institute for Climate Impact Research;

Marc,  Wiedermann
External Organizations;

Zimmerer,  Kilian B.
External Organizations;

Kolb,  Jakob
External Organizations;

Kolster,  Till
External Organizations;

Müller-Hansen,  Finn
External Organizations;

Breitbach,  Paula
External Organizations;

/persons/resource/hannah.prawitz

Prawitz,  Hannah
Potsdam Institute for Climate Impact Research;

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Citation

Breier, J., Schwarz, L., Hotz, R., Bechthold, M., Heitzig, J., Donges, J. F., Barfuss, W., Marc, W., Zimmerer, K. B., Kolb, J., Kolster, T., Müller-Hansen, F., Breitbach, P., Prawitz, H. (2025): pycopancore: Reference implementation of the copan:CORE World-Earth modelling framework.
https://doi.org/10.5281/zenodo.3459907


Cite as: https://publications.pik-potsdam.de/pubman/item/item_33665
Abstract
The pycopancore package is a python implementation of the copan:CORE modeling framework as described in this paper. The framework is designed to allow an easy implementation of World-Earth (i.e., global social-ecological) models by using different model components of environmental, social-metabolic or cultural submodels and combining them with newly developed components. The implementation and simulation of World-Earth models within the framework can use different types of modeling techniques such as differential equations, stochastic and deterministic events and therefore allows to compare different model and component types and implementations.