Journal Article10.1029/92JD01909
A modeling perspective on cloud radiative forcing
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TL;DR: In this article, Radiation fields from a perpetual July integration of a T106 version of the ECMWF operational model are used to identify the most appropriate way to diagnose cloud radiative forcing in a general circulation model, for the purposes of intercomparison between models.
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Abstract: Radiation fields from a perpetual July integration of a T106 version of the ECMWF operational model are used to identify the most appropriate way to diagnose cloud radiative forcing in a general circulation model, for the purposes of intercomparison between models. Differences between the methods 1 and 2 of Cess and Potter (1987) and a variant method are addressed. Method 1 is shown to be the least robust of all methods, due to the potential uncertainties related to persistent cloudiness, length of the sampling period, and biases in retrieved clear sky quantities due to insufficient sampling of the diurnal cycle. Method 2 is proposed as an unambiguous way to produce consistent radiative diagnostics for intercomparing model results. The impact of the three methods on the derived sensitivites and cloud feedbacks following an imposed change in sea surface temperature is discussed. The sensitivity of the results to horizontal resolution is considered by using the diagnostics from parallel integrations with T21 version of the model. 20 refs., 2 figs., 1 tab.
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Comparison of the seasonal change in cloud-radiative forcing from atmospheric general circulation models and satellite observations
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Comparison of the seasonal change in cloud-radiative forcing from atmospheric general circulation models
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R. D. Cess,Gerald L. Potter,J. P. Blanchet,George J. Boer,Steven J. Ghan,Jeffrey T. Kiehl,H. Le Treut,Z. X. Li,Xin-Zhong Liang,John F. B. Mitchell,Jean-Jacques Morcrette,David A. Randall,M. R. Riches,E. Roeckner,U. Schlese,A. Slingo,Karl E. Taylor,Warren M. Washington,R. T. Wetherald,I. Yagai +19 more
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