On the diagnosis of radiative feedback in the presence of unknown radiative forcing

The impact of time‐varying radiative forcing on the diagnosis of radiative feedback from satellite observations of the Earth is explored. Phase space plots of variations in global average temperature versus radiative flux reveal linear striations and spiral patterns in both satellite measurements an...

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Bibliographic Details
Published in:Journal of Geophysical Research: Atmospheres 2010-08, Vol.115 (D16), p.n/a
Main Authors: Spencer, Roy W., Braswell, William D.
Format: Article
Language:English
Subjects:
Anthropogenic factors
Climate
Climate change
Climate models
Climate system
Diagnosis
Earth
Earth sciences
Earth, ocean, space
Exact sciences and technology
Feedback
Flux
forcing
Geophysics
Global temperatures
Oceans
Radiative forcing
Remote sensing
Satellite observation
Satellites
Spirals
Striations
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Summary:The impact of time‐varying radiative forcing on the diagnosis of radiative feedback from satellite observations of the Earth is explored. Phase space plots of variations in global average temperature versus radiative flux reveal linear striations and spiral patterns in both satellite measurements and in output from coupled climate models. A simple forcing‐feedback model is used to demonstrate that the linear striations represent radiative feedback upon nonradiatively forced temperature variations, while the spiral patterns are the result of time‐varying radiative forcing generated internal to the climate system. Only in the idealized special case of instantaneous and then constant radiative forcing, a situation that probably never occurs either naturally or anthropogenically, can feedback be observed in the presence of unknown radiative forcing. This is true whether the unknown radiative forcing is generated internal or external to the climate system. In the general case, a mixture of both unknown radiative and nonradiative forcings can be expected, and the challenge for feedback diagnosis is to extract the signal of feedback upon nonradiatively forced temperature change in the presence of the noise generated by unknown time‐varying radiative forcing. These results underscore the need for more accurate methods of diagnosing feedback from satellite data and for quantitatively relating those feedbacks to long‐term climate sensitivity.
ISSN:0148-0227
2169-897X
2156-2202
2169-8996
DOI:10.1029/2009JD013371