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High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100
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 th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5240620/ https://www.ncbi.nlm.nih.gov/pubmed/28094785 http://dx.doi.org/10.1038/sdata.2016.130 |
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author | Boke-Olén, Niklas Abdi, Abdulhakim M. Hall, Ola Lehsten, Veiko |
author_facet | Boke-Olén, Niklas Abdi, Abdulhakim M. Hall, Ola Lehsten, Veiko |
author_sort | Boke-Olén, Niklas |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5240620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52406202017-02-02 High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100 Boke-Olén, Niklas Abdi, Abdulhakim M. Hall, Ola Lehsten, Veiko Sci Data Data Descriptor 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. Nature Publishing Group 2017-01-17 /pmc/articles/PMC5240620/ /pubmed/28094785 http://dx.doi.org/10.1038/sdata.2016.130 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Boke-Olén, Niklas Abdi, Abdulhakim M. Hall, Ola Lehsten, Veiko High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100 |
title | High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100 |
title_full | High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100 |
title_fullStr | High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100 |
title_full_unstemmed | High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100 |
title_short | High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100 |
title_sort | high-resolution african population projections from radiative forcing and socio-economic models, 2000 to 2100 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5240620/ https://www.ncbi.nlm.nih.gov/pubmed/28094785 http://dx.doi.org/10.1038/sdata.2016.130 |
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