Global gridded GDP under the historical and future scenarios ...

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 - 210...

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Bibliographic Details
Main Authors: Wang, Tingting, Sun, Fubao
Format: Dataset
Language:unknown
Published: Zenodo 2023
Subjects:
GDP
SSP
Online Access:https://dx.doi.org/10.5281/zenodo.7898409
https://zenodo.org/record/7898409
id ftdatacite:10.5281/zenodo.7898409
record_format openpolar
spelling ftdatacite:10.5281/zenodo.7898409 2023-06-11T04:07:12+02:00 Global gridded GDP under the historical and future scenarios ... Wang, Tingting Sun, Fubao 2023 https://dx.doi.org/10.5281/zenodo.7898409 https://zenodo.org/record/7898409 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4350026 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess GDP SSP historical downscaling Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.789840910.5281/zenodo.4350026 2023-06-01T11:16:58Z 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). ... : {"references": ["Geiger, T.: Continuous national gross domestic product (GDP) time series for 195 countries: past observations (1850\u20132005) harmonized with future projections according to the Shared Socio-economic Pathways (2006\u20132100), Earth System Science Data, 10, 847\u2013856, 2018.", "Dellink, R., Chateau, J., Lanzi, E., and Magn\u00e9, 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."]} ... Dataset Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) Geiger ENVELOPE(-62.900,-62.900,-64.300,-64.300) Chateau ENVELOPE(-55.898,-55.898,51.983,51.983)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic GDP
SSP
historical
downscaling
spellingShingle GDP
SSP
historical
downscaling
Wang, Tingting
Sun, Fubao
Global gridded GDP under the historical and future scenarios ...
topic_facet GDP
SSP
historical
downscaling
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). ... : {"references": ["Geiger, T.: Continuous national gross domestic product (GDP) time series for 195 countries: past observations (1850\u20132005) harmonized with future projections according to the Shared Socio-economic Pathways (2006\u20132100), Earth System Science Data, 10, 847\u2013856, 2018.", "Dellink, R., Chateau, J., Lanzi, E., and Magn\u00e9, 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."]} ...
format Dataset
author Wang, Tingting
Sun, Fubao
author_facet Wang, Tingting
Sun, Fubao
author_sort Wang, Tingting
title Global gridded GDP under the historical and future scenarios ...
title_short Global gridded GDP under the historical and future scenarios ...
title_full Global gridded GDP under the historical and future scenarios ...
title_fullStr Global gridded GDP under the historical and future scenarios ...
title_full_unstemmed Global gridded GDP under the historical and future scenarios ...
title_sort global gridded gdp under the historical and future scenarios ...
publisher Zenodo
publishDate 2023
url https://dx.doi.org/10.5281/zenodo.7898409
https://zenodo.org/record/7898409
long_lat ENVELOPE(-62.900,-62.900,-64.300,-64.300)
ENVELOPE(-55.898,-55.898,51.983,51.983)
geographic Geiger
Chateau
geographic_facet Geiger
Chateau
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://dx.doi.org/10.5281/zenodo.4350026
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.789840910.5281/zenodo.4350026
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