10.5880/pik.2017.007 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2017-11-30 urn:ogc:def:crs:EPSG:4326 Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100) 2017-11-30 revision doi:10.5880/pik.2017.007 Geiger, Tobias Potsdam Institute for Climate Impact Research, Potsdam, Germany author Daisuke, Murakami Department of Statistical Modeling, Institute of Statistical Mathematics, Tachikawa, Japan author Frieler, Katja Potsdam Institute for Climate Impact Research, Potsdam, Germany author Yamagata, Yoshiki Center for Global Environmental Studies, National Institute for Environmental Studies, Tsukuba, Japan author GFZ Data Services publisher 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. Complete Geiger, Tobias Potsdam Institute for Climate Impact Research, Potsdam, Germany geiger@pik-potsdam.de http://https://www.pik-potsdam.de/members/geiger informtion pointOfContact Gross Domestic Product Shared Socioeconomic Pathways statistical downscaling Gross Cell Product EARTH SCIENCE > HUMAN DIMENSIONS > POPULATION EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS > PURCHASING POWER NASA/GCMD Earth Science Keywords publication economic growth GEMET - INSPIRE themes, version 1.0 publication CC BY 4.0 CC BY 4.0 10.5880/pik.2017.003 DOI IsDerivedFrom http://themasites.pbl.nl/tridion/en/themasites/hyde/ URL IsDerivedFrom 10.5880/pik.2017.011 DOI References eng geoscientificInformation 1850 2100 http://doi.org/10.5880/pik.2017.007 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information