Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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

Boke-Olén, Niklas LU ; Abdi, Hakim LU orcid ; Hall, Ola LU and Lehsten, Veiko LU (2017) In Scientific Data 4.
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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Africa, Population modelling
in
Scientific Data
volume
4
article number
160130
publisher
Nature Publishing Group
external identifiers
  • pmid:28094785
  • wos:000392065000004
  • scopus:85009833853
ISSN
2052-4463
DOI
10.1038/sdata.2016.130
language
English
LU publication?
yes
id
f484a949-4c2f-4d16-9e3e-a5d061de865c
date added to LUP
2017-02-13 13:19:00
date last changed
2024-02-29 08:33:59
@article{f484a949-4c2f-4d16-9e3e-a5d061de865c,
  abstract     = {{<p>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.</p>}},
  author       = {{Boke-Olén, Niklas and Abdi, Hakim and Hall, Ola and Lehsten, Veiko}},
  issn         = {{2052-4463}},
  keywords     = {{Africa; Population modelling}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Data}},
  title        = {{Data Descriptor : High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100}},
  url          = {{http://dx.doi.org/10.1038/sdata.2016.130}},
  doi          = {{10.1038/sdata.2016.130}},
  volume       = {{4}},
  year         = {{2017}},
}