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.
(Less)
- author
- Boke-Olén, Niklas
LU
; Abdi, Hakim
LU
; Hall, Ola
LU
and Lehsten, Veiko
LU
- organization
- publishing date
- 2017-01-17
- 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
- 2025-03-03 10:58:56
@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}},
}