Global gridded GDP under the historical and future scenarios
Creators
- 1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- 2. Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Description
We have extended the time series of global GDP based on Version 5 at https://zenodo.org/record/5880037#.Yyx4lsi5fRQ, which makes the following changes:
a) includes annual global GDP from 2000 - 2020, the unit is PPP 2005 international dollars.
b) updates the GDP projections for the period 2025 - 2100 at five-year intervals under five SSPs, and the unit is PPP 2005 international dollars, which allows for comparsion against the historical values mention above.
This dataset consists of a total of 101 tif images with spatial resolutions of 1 km (in 7 zip files) and 0.25-degree, respectively. The gridded GDP are distributed over land, with Antarctica, oceans, and some non-illuminated or depopulated areas marked as zero. The spatial extents are 90S - 90N and 180E - 180W in standard WGS84 coordinate system.
For more details, please refer to the article: Global gridded GDP data set consistent with the shared socioeconomic pathways that is consistent with Version 5 (GDP unit is PPP 2005 U.S. dollars).
Files
Files
(49.3 GB)
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md5:19cf9b0d433c805b5b5784e62433fff9
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Additional details
References
- Geiger, T.: Continuous national gross domestic product (GDP) time series for 195 countries: past observations (1850–2005) harmonized with future projections according to the Shared Socio-economic Pathways (2006–2100), Earth System Science Data, 10, 847–856, 2018.
- Dellink, R., Chateau, J., Lanzi, E., and Magné, B.: Long-term economic growth projections in the Shared Socioeconomic Pathways, Global Environmental Change, 42. 200-214, 2015.
- Wang, X., Meng, X., Long, Y. (2022) Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways. Scientific data 9, 1-13.