Using Green's Functions to Calibrate an Ocean General Circulation Model

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Arctic ice-ocean simulation with optimized model parameters: Approach and assessment (2011, methodology): “3.1. Green’s Function Approach [14] Green’s functions provide a simple yet effective method to adjust general circulation model (GCM) parameters [ Menemenlis et al., 2005a ].”
Development of a four‐dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations (2008, methodology): “[22] In addition, in order to reduce model drift before the 4D-VAR experiment, we have made a preliminary tuning by introducing the following 7 parameters through use of the Green’s function method proposed by Menemenlis et al. [2005] : (1) the wind sensitivity parameter in the ocean mixed layer sc”
Dynamically and Kinematically Consistent Global Ocean Circulation and Ice State Estimates (2013, methodology): “Sea ice models have been developed within the state estimation framework as fully coupled sub-systems influenced by and influencing the ocean circulation (Menemenlis et al., 2005a,b; Losch et al., 2010).”
Eddy‐induced meridional heat transport in the ocean (2008, methodology): “An ECCO2 data synthesis is obtained by least-squares fit of a global full-depth-ocean and sea-ice configuration of the Massachusetts Institute of Technology general circulation model [Marshall et al., 1997] to the available satellite and in-situ data using the Green’s function method [ Menemenlis et”