Earth Radiation Budget and Cloudiness Simulations with a General Circulation Model

1989 ◽  
Vol 46 (13) ◽  
pp. 1922-1942 ◽  
Author(s):  
Harshvardhan ◽  
David A. Randall ◽  
Thomas G. Corsetti
Keyword(s):  
General Circulation Model ◽  
General Circulation ◽  
Circulation Model ◽  
Radiation Budget ◽  
Earth Radiation Budget ◽  
Earth Radiation

Comparison of general circulation models to Earth Radiation Budget Experiment data: Computation of clear-sky fluxes

1992 ◽  
Vol 97 (D18) ◽  
pp. 20421 ◽  
Author(s):  
Robert D. Cess ◽  
Gerald L. Potter ◽  
W. Lawrence Gates ◽  
Jean-Jacques Morcrette ◽  
Lisa Corsetti
Keyword(s):  
General Circulation ◽  
General Circulation Models ◽  
Radiation Budget ◽  
Experiment Data ◽  
Clear Sky ◽  
Earth Radiation Budget ◽  
Earth Radiation

scholarly journals Optimizing Parameters in an Atmospheric General Circulation Model

2005 ◽  
Vol 18 (17) ◽  
pp. 3527-3535 ◽  
Author(s):  
C. A. Severijns ◽  
W. Hazeleger
Keyword(s):  
Cost Function ◽  
General Circulation Model ◽  
General Circulation ◽  
Atmospheric General Circulation Model ◽  
Circulation Model ◽  
General Circulation Models ◽  
Radiation Budget ◽  
Nonlinear Dependence ◽  
Atmospheric General Circulation ◽  
The Cost

Abstract An efficient method to optimize the parameter values of the subgrid parameterizations of an atmospheric general circulation model is described. The method is based on the downhill simplex minimization of a cost function computed from the difference between simulated and observed fields. It is used to find optimal values of the radiation and cloud-related parameters. The model error is reduced significantly within a limited number of iterations (about 250) of short integrations (5 yr). The method appears to be robust and finds the global minimum of the cost function. The radiation budget of the model improves considerably without violating the already well simulated general circulation. Different aspects of the general circulation, such as the Hadley and Walker cells improve, although they are not incorporated into the cost function. It is concluded that the method can be used to efficiently determine optimal parameters for general circulation models even when the model behavior has a strong nonlinear dependence on these parameters.

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