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Shared Socioeconomic Pathways (SSPs)

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  • Collection Overview
  • Data Sets (3)
    • Global 1-km Downscaled Urban Land Extent Projection and Base Year Grids by SSP Scenarios, v1 (2000 – 2100)
    • Global One-Eighth Degree Urban Land Extent Projection and Base Year Grids by SSP Scenarios, v1 (2000 – 2100)
    • SSPs Literature Database, v1 (2014 – 2019)
  • Map Gallery (11)

Global 1-km Downscaled Urban Land Extent Projection and Base Year Grids by SSP Scenarios, v1 (2000 – 2100)

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Purpose:
To provide global SSP-consistent spatial urban land projections and base year grids based on the Shared Socioeconomic Pathways (SSPs) data at a resolution of 1-km (about 30 arc-seconds) for climate, socioeconomic, environmental, and other related research.
Abstract:
The Global 1-km Downscaled Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000-2100 consists of global SSP-consistent spatial urban land fraction data for the base year 2000 and projections at ten-year intervals for 2010-2100 at a resolution of 1-km (about 30 arc-seconds). An algorithm was developed and validated to downscale the 1/8-degree resolution data set to 1-km resolution. For a given decade, the downscaling algorithm allocates the 1/8-degree decadal amount of urban land expansion to 1-km grid cells in proportion to their total urban land amounts at the beginning of the decade. The algorithm uses an iterative process to collect any overflows from already highly-developed 1-km grid cells, and then allocates them to 1-km grid cells that are not yet fully developed. This iterative process repeats itself until all 1/8-degree amounts of urban land expansion are allocated to 1-km grid cells with no overflow. The downscaling process is applied decade by decade throughout the 21st century for each urban land expansion scenario. The final product is a set of global maps displaying the 1-km fraction of urban land, updated at decadal intervals throughout the 21st century, for five different urban land expansion scenarios consistent with the Shared Socioeconomic Pathways (SSPs).
Recommended Citation(s)*:

Gao, J. and M. Pesaresi. 2021. Global 1-km Downscaled Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000-2100. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/1z4r-ez63. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

Gao, J. and M. Pesaresi. 2021. Downscaling SSP-consistent Global Spatial Urban Land Projections from 1/8-degree to 1-km Resolution 2000-2100. Scientific Data 8(1): 281. https://doi.org/10.1038/s41597-021-01052-0.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:
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