The NASA Socioeconomic Data and Applications Center (SEDAC) managed by CIESIN has released several new datasets valuable in assessing future global energy development and land use and in characterizing potential long-term future population distribution in the context of climate change.
One dataset, Global One-Eighth Degree Population Base Year and Projection Grids Based on the SSPs, was developed by Bryan Jones of the City University of New York and Brian O’Neill of the University of Denver. The dataset consists of global urban, rural, and total population data for the base year 2000, and population projections at ten-year intervals for 2010-2100 at a resolution of one-eighth degree (7.5 arc-minutes). These are consistent both quantitatively and qualitatively with the Shared Socioeconomic Pathways (SSPs) that were developed in support of the Intergovernmental Panel on Climate Change (IPCC) assessments. A second dataset, Global 1-km Downscaled Population Base Year and Projection Grids Based on the SSPs, provides a downscaled version of the first dataset, at 1-km resolution (about 30 arc-seconds). This dataset was developed by Jing Gao of the National Center for Atmospheric Research (NCAR). Spatial demographic scenario data are key inputs for the analysis of future land use, energy use, and emission patterns together with potential future climate change impacts, vulnerability, and adaptation.
A third dataset, Global Development Potential Indices (DPI), was developed by James Oakleaf of The Nature Conservancy, and colleagues. This dataset ranks global land suitability in the sectors of renewable energy, fossil fuels, mining, and agriculture, to aid in setting priorities for development and conservation efforts. Each sector-based DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of current and planned development.
SEDAC is one of NASA′s Distributed Active Archive Centers (DAACs) in the NASA Earth Observing System Data and Information System. SEDAC seeks to improve access to and use of key socioeconomic and interdisciplinary data that are or can be integrated with remote sensing data. SEDAC datasets have been cited in more than 5,000 different scientific publications during the past 20 years.