Data Descriptor: High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100

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Abstract

For its fifth assessment report, the Intergovernmental Panel on Climate Change divided future scenario projections (2005-2100) into two groups: Socio-Economic Pathways (SSPs) and Representative Concentration Pathways (RCPs). Each SSP has country-level urban and rural population projections, while the RCPs are based on radiative forcing caused by greenhouse gases, aerosols and associated land-use change. In order for these projections to be applicable in earth system models, SSP and RCP population projections must be at the same spatial scale. Thus, a gridded population dataset that takes into account both RCP-based urban fractions and SSP-based population projection is needed. To support this need, an annual (2000-2100) high resolution (approximately 1km at the equator) gridded population dataset conforming to both RCPs (urban land use) and SSPs (population) country level scenario data were created.

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Boke-Olén, N., Abdi, A. M., Hall, O., & Lehsten, V. (2017). Data Descriptor: High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100. Scientific Data, 4. https://doi.org/10.1038/sdata.2016.130

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