Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100)

Cite as:

Geiger, Tobias; Daisuke, Murakami; Frieler, Katja; Yamagata, Yoshiki (2017): Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100). GFZ Data Services. https://doi.org/10.5880/pik.2017.007

Status

I N R E V I E W : Geiger, Tobias; Daisuke, Murakami; Frieler, Katja; Yamagata, Yoshiki (2017): Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100). GFZ Data Services. https://doi.org/10.5880/pik.2017.007

Abstract

We here provide spatially-explicit economic time series for Gross Cell Product (GCP) with global coverage
in 10-year increments between 1850 and 2100 with a spatial resolution of 5 arcmin. GCP is based on a
statistcal downscaling procedure that among other predictors uses national Gross Domestic Product (GDP)
time series and gridded population estimates as input. Historical estimates until 2000 are harmonized
with future socio-economic projections from the Shared Socioeconomic Pathways (SSPs) according to
SSP2 from 2010 onwards.

We further provide a mapping file with identical spatial resolution to associate GCP values with specifc
countries. Based on this mapping we provide nationally aggregated GDP estimates between 1850-2100 in
a separate csv-file.

Additionally, we provide a mapping file with identical spatial resolution providing national assets-GDP
ratios, that can be used to transform GCP to asset values based on 2016 estimates from Credit Suisse’s
Global Wealth Databook 2016.

This dataset has already been used to create a global and spatially-explicit dataset for tropical cyclone
exposure (TCE-DAT), for details see Geiger et al (2017; http://doi.org/10.5880/pik.2017.011).

Files included in the zip folder:
(1) GCP_PPP-2005_1850-2100.nc: GCP in 10-year increments between 1850 and 2100 with a resolution of 5 arcmin.
(2) National_GDP_PPP-2005_1850-2100.csv: nationally-aggregated GDP estimates (as used for GCP downscaling) in 10-year increments between 1850 and 2100.
(3) ISO-country-map.nc: Map for grid cell to ISO 3166 country code mapping with a resolution of 5 arcmin.
(4) GDP2Asset_converter_5arcmin.nc: Map for grid cell GDP to Asset mapping with a resolution of 5 arcmin based on 2016 estimates from Credit Suisse’s Global Wealth Databook 2016.

Authors

Geiger, Tobias;Potsdam Institute for Climate Impact Research, Potsdam, Germany
Daisuke, Murakami;Department of Statistical Modeling, Institute of Statistical Mathematics, Tachikawa, Japan
Frieler, Katja;Potsdam Institute for Climate Impact Research, Potsdam, Germany
Yamagata, Yoshiki;Center for Global Environmental Studies, National Institute for Environmental Studies, Tsukuba, Japan

Contact

Geiger, Tobias; Potsdam Institute for Climate Impact Research, Potsdam, Germany; ➦

Keywords

Gross Domestic Product, Shared Socioeconomic Pathways, statistical downscaling, Gross Cell Product, economic growth

GCMD Science Keywords

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      - givenName: Yoshiki
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      - affiliation: Center for Global Environmental Studies, National Institute for Environmental Studies, Tsukuba, Japan
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  - publisher: GFZ Data Services
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    - subject: Shared Socioeconomic Pathways
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    - subject: Gross Cell Product
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