Geographical Simulation and Optimization System (GeoSOS)

Future Population (FPOP): Gridded global population projection at 1-km resolution under Shared Socioeconomic Pathways from 2010 to 2100

Recently, The Shared Socioeconomic Pathways (SSPs) were adopted by the Coupled Model Intercomparison Project Phase 6 (CMIP6), enabling researchers to conduct unified, comparable multi-scenario simulations and integrate such simulation products into climate change research. The SSPs focus on the key socio-economic factors including demographic dynamics, economic development, technological change, social, cultural, and institutional changes and policies. Simulating future global population dynamics in accordance with the Shared Socioeconomic Pathways (SSPs) is critical for addressing future climate change and associated hazards. In this regard, notable progress has been made in producing SSP-consistent future population projections at low resolutions for the globe and high resolutions for specific regions.

Here we incorporate a newly available future built-up land dataset to train a non-linear machine learning model, creating a new dataset of 1-km resolution global population projections under SSPs 1-5 throughout the 21st century for every ten years (i.e., FPOP).

Download

Future Population (FPOP), the Gridded global population projection at 1-km resolution under Shared Socioeconomic Pathways from 2010 to 2100 are available to download in: Here

Reference

Mengya Li, Bing-Bing Zhou, Xia Li, Yimin Chen et al. Spatiotemporal dynamics of global population and heat exposure (2020-2100): Based on improved SSP-consistent population projections.

If you have any comments and suggestions, please contact Prof. Xia Li: lixia@geo.ecnu.edu.cn

Last updated: 12 April, 2022