ISIMIP3a GDP input data

Cite as

Inga Sauer, Johannes Koch, Christian Otto (2022): ISIMIP3a GDP input data (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.824555

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.824555
Title:
ISIMIP3a GDP input data
Version:
1.0
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

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.

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.

This dataset contains national time series of per-capita GDP for the time period 1965-2021.

Methods:

Time series of per-capita GDP for the time period 1965-2020 are taken from the World Bank’s World Development Indicator database (WDI) and converted into constant 2005 Int$PPP, using deflators and PPP conversion factors from WDI. For countries not covered in the WDI database, data from the MissingIslands dataset is used to allow covering 249 countries. Following a method developed by Koch and Leimbach (2022), the value for the year 2021 is derived from the IMF's World Economic Outlook short-term estimates of GDP per capita growth (WEO, 2021) that comprise estimates of the growth impacts of the Covid-19 shock.

Publication date:
Feb. 6, 2022
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.

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