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ICLUS v1.3 Population Projections
Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline ("base case"). The model is run for the conterminous USA and output is available for each scenario by decade to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer. This shapefile holds population data for all counties of the conterminous USA for all decades (2010-2100) and SRES population growth scenarios (A1, A2, B1, B2), as well as a 'base case' (BC) scenario, for use in the Integrated Climate and Land Use Scenarios (ICLUS) project.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | non-public |
| contactPoint |
{
"fn": "U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, Global Change Research Program",
"@type": "vcard:Contact",
"hasEmail": "mailto:morefield.philip@epa.gov"
}
|
| describedByType | application/octet-steam |
| description | Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline ("base case"). The model is run for the conterminous USA and output is available for each scenario by decade to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer. This shapefile holds population data for all counties of the conterminous USA for all decades (2010-2100) and SRES population growth scenarios (A1, A2, B1, B2), as well as a 'base case' (BC) scenario, for use in the Integrated Climate and Land Use Scenarios (ICLUS) project. |
| distribution |
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"downloadURL": "https://edg.epa.gov/data/Public/ORD/NCEA/county_pop.zip",
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|
| identifier | {1BB3ECBD-3EEB-43F3-AF78-B1196ACCC732} |
| issued | 2007-01-01T00:00:00.000+00:00 |
| keyword |
[
"Climate",
"Human",
"Impact",
"Land",
"Modeling"
]
|
| language |
[]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2007-01-01T00:00:00.000+00:00 |
| publisher |
{
"name": "U.S. EPA Office of Research & Development (ORD) - National Center for Environmental Assessment (NCEA) - Global Change Research Program(GCRP)",
"@type": "org:Organization"
}
|
| rights | otherRestrictions, PUBLIC |
| spatial | -12.68151645,6.65223303,-138.21454852,61.7110157 |
| temporal | 2010-01-01T00:00:00+00:00/2100-01-01T00:00:00+00:00 |
| title | ICLUS v1.3 Population Projections |
