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Results of the Model of Agricultural Production and its Impact on the Environment (MAgPIE) for seven Integrated Nitrogen Management System (INMS) global scenarios, 2000-2100

This dataset provides MAGPIE runs for seven Integrated Nitrogen Management System (INMS) scenarios from 2000 to 2100, with 10 years interval.

The last historical year is 2020.

The climate scenarios are represented as combination of SSP-RCP-N (shared socioeconomic pathways - representative concentration pathways - nitrogen pathways) :

1) Business as usual (SSP5-RCP8.5 Low N ambition)
2) Low N regulation (SSP2-RCP4.5 Low N ambition)
3) Medium N regulation (SSP2-RCP4.5 Moderate N ambition)
4) High N regulation (SSP2-RCP4.5 High N ambition)
5) Best Case (SSP1-RCP4.5 High N ambition)
6) Best Case + (SSP1-RCP4.5 High N ambition with ambitious diet shift and food loss/waste reductions)
7) Bioenergy (SSP1-RCP2.6 High N ambition with low meat & dairy diet)

Format

NetCDF

Spatial information

Study area

Spatial representation type

Raster

Spatial reference system

WGS 84

Temporal information

Temporal extent

2000-01-01 to 2100-12-31

Licensing and constraints

This dataset is available under the terms of the INMS

INMS copyright

Potsdam Institute for Climate Impact Research

Please note that this dataset can be downloaded by registered INMS users only.

Supplemental information

More information on the open-source model MAgPIE can be found at the link below.

https://github.com/magpiemodel/magpie

Please cite the model using the following references:

Dietrich, J. P. et al. MAgPIE 4 – a modular open-source framework for modeling global land systems. Geoscientific Model Development 12, 1299–1317 (2019).

Dietrich, J. P. et al. MAgPIE - An Open Source land-use modeling framework - Version 4.3.0. (2020).

Bodirsky, B. L. et al. N2O emissions from the global agricultural nitrogen cycle – current state and future scenarios. Biogeosciences 9, 4169–4197 (2012).

Bodirsky, B. L. et al. Reactive nitrogen requirements to feed the world in 2050 and potential to mitigate nitrogen pollution. Nature Communications 5, (2014).

https://doi.org/10.1038/ncomms4858