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

Boke-Olén, Niklas LU ; Abdi, Hakim LU ; 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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific data
volume
4
publisher
Nature Publishing Group
external identifiers
  • scopus:85009833853
  • wos:000392065000004
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
2018-03-04 04:58:33
@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>},
  articleno    = {160130},
  author       = {Boke-Olén, Niklas and Abdi, Hakim and Hall, Ola and Lehsten, Veiko},
  issn         = {2052-4463},
  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},
  volume       = {4},
  year         = {2017},
}