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Journal Article

MAgPIE 4 - a modular open-source framework for modeling global land systems

Authors
/persons/resource/Jan.Dietrich

Dietrich,  Jan Philipp
Potsdam Institute for Climate Impact Research;

/persons/resource/Bodirsky

Bodirsky,  Benjamin Leon
Potsdam Institute for Climate Impact Research;

/persons/resource/Florian.Humpenoeder

Humpenöder,  Florian
Potsdam Institute for Climate Impact Research;

/persons/resource/Isabelle.Weindl

Weindl,  Isabelle
Potsdam Institute for Climate Impact Research;

/persons/resource/stevanovic

Stevanović,  Miodrag
Potsdam Institute for Climate Impact Research;

/persons/resource/Karstens

Karstens,  Kristine
Potsdam Institute for Climate Impact Research;

/persons/resource/ulrich.kreidenweis

Kreidenweis,  Ulrich
Potsdam Institute for Climate Impact Research;

/persons/resource/xiaoxi.wang

Wang,  Xiaoxi
Potsdam Institute for Climate Impact Research;

/persons/resource/Abhijeet.Mishra

Mishra,  Abhijeet
Potsdam Institute for Climate Impact Research;

/persons/resource/david.klein

Klein,  David
Potsdam Institute for Climate Impact Research;

/persons/resource/ambrosio

Ambrósio,  Geanderson Eduardo
Potsdam Institute for Climate Impact Research;

/persons/resource/ewerton.araujo

Araujo,  Ewerton
Potsdam Institute for Climate Impact Research;

/persons/resource/yalew

Yalew,  Amsalu Woldie
Potsdam Institute for Climate Impact Research;

/persons/resource/lavinia.baumstark

Baumstark,  Lavinia
Potsdam Institute for Climate Impact Research;

/persons/resource/wirth

Wirth,  Stephen Björn
Potsdam Institute for Climate Impact Research;

/persons/resource/giannou

Giannousakis,  Anastasis
Potsdam Institute for Climate Impact Research;

/persons/resource/felicitas.beier

Beier,  Felicitas
Potsdam Institute for Climate Impact Research;

/persons/resource/david.chen

Chen,  David Meng-Chuen
Potsdam Institute for Climate Impact Research;

/persons/resource/Lotze-Campen

Lotze-Campen,  Hermann
Potsdam Institute for Climate Impact Research;

/persons/resource/Alexander.Popp

Popp,  Alexander
Potsdam Institute for Climate Impact Research;

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8362oa.pdf
(Publisher version), 6MB

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Citation

Dietrich, J. P., Bodirsky, B. L., Humpenöder, F., Weindl, I., Stevanović, M., Karstens, K., Kreidenweis, U., Wang, X., Mishra, A., Klein, D., Ambrósio, G. E., Araujo, E., Yalew, A. W., Baumstark, L., Wirth, S. B., Giannousakis, A., Beier, F., Chen, D.-M.-C., Lotze-Campen, H., Popp, A. (2019): MAgPIE 4 - a modular open-source framework for modeling global land systems. - Geoscientific Model Development, 12, 4, 1299-1317.
https://doi.org/10.5194/gmd-12-1299-2019


Cite as: https://publications.pik-potsdam.de/pubman/item/item_22923
Abstract
The open-source modeling framework MAgPIE (Model of Agricultural Production and its Impact on the Environment) combines economic and biophysical approaches to simulate spatially explicit global scenarios of land use within the 21st century and the respective interactions with the environment. Besides various other projects, it was used to simulate marker scenarios of the Shared Socioeconomic Pathways (SSPs) and contributed substantially to multiple IPCC assessments. However, with growing scope and detail, the non-linear model has become increasingly complex, computationally intensive and non-transparent, requiring structured approaches to improve the development and evaluation of the model. Here, we provide an overview on version 4 of MAgPIE and how it addresses these issues of increasing complexity using new technical features: modular structure with exchangeable module implementations, flexible spatial resolution, in-code documentation, automatized code checking, model/output evaluation and open accessibility. Application examples provide insights into model evaluation, modular flexibility and region-specific analysis approaches. While this paper is focused on the general framework as such, the publication is accompanied by a detailed model documentation describing contents and equations, and by model evaluation documents giving insights into model performance for a broad range of variables. With the open-source release of the MAgPIE 4 framework, we hope to contribute to more transparent, reproducible and collaborative research in the field. Due to its modularity and spatial flexibility, it should provide a basis for a broad range of land-related research with economic or biophysical, global or regional focus.