Less Than 2 °C Warming by 2100 Unlikely.
Ontology highlight
ABSTRACT: The recently published Intergovernmental Panel on Climate Change (IPCC) projections to 2100 give likely ranges of global temperature increase in four scenarios for population, economic growth and carbon use1. However these projections are not based on a fully statistical approach. Here we use a country-specific version of Kaya's identity to develop a statistically-based probabilistic forecast of CO2 emissions and temperature change to 2100. Using data for 1960-2010, including the UN's probabilistic population projections for all countries2-4, we develop a joint Bayesian hierarchical model for GDP per capita and carbon intensity. We find that the 90% interval for cumulative CO2 emissions includes the IPCC's two middle scenarios but not the extreme ones. The likely rang
SUBMITTER: Raftery AE
PROVIDER: S-EPMC6070153 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
ACCESS DATA