This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1029/2018JD028481. This is version 3 of this Preprint.
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Abstract
Estimating the equilibrium climate sensitivity (ECS; the equilibrium warming in response to a doubling of CO2) from observations is one of the big problems in climate science. Using observations of interannual climate variations covering the period 2000 to 2017 and a model-derived relationship between interannual variations and forced climate change, we estimate ECS is likely 2.4-4.6 K (17-83% confidence interval), with a mode and median value of 2.9 and 3.3 K, respectively. This analysis provides no support for low values of ECS (below 2 K) suggested by other analyses. The main uncertainty in our estimate is not observational uncertainty, but rather uncertainty in converting observations of short-term, mainly unforced climate variability to an estimate of the response of the climate system to long-term forced warming.
DOI
https://doi.org/10.31223/osf.io/4et67
Subjects
Climate, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics
Keywords
Climate variability, equilibrium climate sensitivity
Dates
Published: 2018-02-03 16:13
Last Updated: 2018-09-29 08:52
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