A fractal climate response function can simulate global average temperature trends of the modern era and the past millennium
J. H. van Hateren

TL;DR
This paper introduces a fractal climate response function with multiple exponential filters to accurately model and simulate global temperature trends over the past millennium and modern era, accounting for various forcings.
Contribution
It proposes a novel fractal climate response function with power-law weights, fitting multiple climate forcings simultaneously to historical temperature data.
Findings
Climate response to doubled CO2 is approximately 2.0 K.
Solar irradiance accounts for 70% of temperature rise from 1820-1950.
Anthropogenic gases and aerosols dominate post-1950 temperature changes.
Abstract
A climate response function is introduced that consists of six exponential (low-pass) filters with weights depending as a power law on their e-folding times. The response of this two-parameter function to the combined forcings of solar irradiance, greenhouse gases, and SO2-related aerosols is fitted simultaneously to reconstructed temperatures of the past millennium, the response to solar cycles, the response to the 1991 Pinatubo volcanic eruption, and the modern 1850-2010 temperature trend. Assuming strong long-term modulation of solar irradiance, the quite adequate fit produces a climate response function with a millennium-scale response to doubled CO2 concentration of 2.0 +- 0.3 K (mean +- standard error), of which about 50% is realized with e-folding times of 0.5 and 2 years, about 30% with e-folding times of 8 and 32 years, and about 20% with e-folding times of 128 and 512 years.…
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