10.48364/ISIMIP.822480
Stefan Lange
Stefan
Lange
0000-0003-2102-8873
Potsdam Institute for Climate Impact Research
Tobias Geiger
Tobias
Geiger
0000-0002-8059-8270
Potsdam Institute for Climate Impact Research
German Meteorological Service
ISIMIP3a population input data
ISIMIP Repository
2020
EARTH SCIENCE > HUMAN DIMENSIONS > POPULATION > POPULATION DENSITY
EARTH SCIENCE > HUMAN DIMENSIONS > POPULATION > POPULATION SIZE
Matthias Büchner
Matthias
Büchner
0000-0002-1382-7424
Potsdam Institute for Climate Impact Research
Jochen Klar
Jochen
Klar
0000-0002-5883-4273
Potsdam Institute for Climate Impact Research
Iliusi Vega del Valle
Iliusi
Vega del Valle
0000-0001-6902-2257
Potsdam Institute for Climate Impact Research
Jan Volkholz
Jan
Volkholz
Potsdam Institute for Climate Impact Research
Jacob Schewe
Jacob
Schewe
0000-0001-9455-4159
Potsdam Institute for Climate Impact Research
Stefan Lange
Stefan
Lange
0000-0003-2102-8873
Potsdam Institute for Climate Impact Research
Franziska Piontek
Franziska
Piontek
0000-0003-4305-7552
Potsdam Institute for Climate Impact Research
Christopher Reyer
Christopher
Reyer
0000-0003-1067-1492
Potsdam Institute for Climate Impact Research
Matthias Mengel
Matthias
Mengel
0000-0001-6724-9685
Potsdam Institute for Climate Impact Research
María del Rocío Rivas López
María del Rocío
Rivas López
0000-0002-1984-3070
Potsdam Institute for Climate Impact Research
Christian Otto
Christian
Otto
0000-0001-5500-6774
Potsdam Institute for Climate Impact Research
Bjoern Soergel
Bjoern
Soergel
0000-0002-2630-7081
Potsdam Institute for Climate Impact Research
Anne Gädeke
Anne
Gädeke
0000-0003-0514-2908
Potsdam Institute for Climate Impact Research
Martin Park
Martin
Park
0000-0002-2467-3256
Potsdam Institute for Climate Impact Research
Barbara Templ
Barbara
Templ
0000-0002-9391-5888
Potsdam Institute for Climate Impact Research
ETH Zurich
Katja Frieler
Katja
Frieler
0000-0003-4869-3013
Potsdam Institute for Climate Impact Research
Potsdam Institute for Climate Impact Research
03e8s1d88
2020
2020-07-01
eng
Input dataset
https://www.isimip.org/protocol/3/
https://doi.org/10.5194/essd-9-927-2017
https://population.un.org/wpp
https://doi.org/10.17026/dans-znk-cfy3
https://data.isimip.org/datasets/95bae1ad-12e9-471a-8d6e-03739fedf539
https://data.isimip.org/datasets/cc6108da-8a9e-44d6-8da1-f96d95f45c37
https://data.isimip.org/datasets/816a186a-4aec-4b05-8ad4-e27f4a293232
https://data.isimip.org/datasets/fe213729-080a-4135-8a5d-abc85fc91b2c
https://data.isimip.org/datasets/7e21161a-59fb-4fb3-9552-541e1de1995d
https://data.isimip.org/datasets/c1261731-4118-4b91-9b06-ecb346153f72
1.0
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working Group II Chapter 18. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a “no climate change” baseline.<br>This dataset contains the national and gridded historical population data for ISIMIP3a. Estimates are available for total as well as urban and rural population counts.
The population data are adopted from the History Database of the Global Environment (HYDE) version 3.2.1 (Klein Goldewijk et al., 2017). From 1950 onwards those data are based on the 2008 Revision of the United Nations World Population Prospects, which transits from estimates to projections in 2010. Decadal data prior to year 2000 have been linearly interpolated in time.