Difference between revisions of "Model Coupling"

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The coupling of atmosphere and ocean plays an essential role in the Earth climate and the long- and short-term predictability of both systems. Typical uncoupled ocean modeling systems utilize atmospheric model data snapshots from files at coarser temporal and spatial resolutions and interpolate the forcing fields at each time-step to drive circulation forward. Similarly, some atmospheric modeling systems have simplistic representations of oceanic and air-sea transfer processes. They may use a static sea surface temperature field derived from satellite imagery composited over days to weeks, or one-dimensional ocean mixing models that do not represent three-dimensional baroclinic circulation on continental shelves. This method performs well in regions where the ocean evolves slowly relative to the atmosphere and where the sea state has limited impact on the atmospheric state. However, in coastal areas, the ocean can respond to the atmosphere rapidly and is highly variable over short spatial scales.  In these cases, significant feedbacks between the ocean and atmosphere occur regularly (Olabarrieta et al., 2012; Glenn et al., 2016; Seroka et al., 2016, 2017; Chambers et al., 2014).
Several coupling interfaces exist to exchange data between ESM components including the ESMF (Collins et al., 2005), MCT (Larson et al., 2005), and OASIS (Valcke, 2013) libraries.  All three coupling libraries have been used for coupling ROMS with an atmosphere model (e.g., Turuncoglu and Sannino, 2017, Warner et al., 2010, Renault et al., 2016, respectively).

Revision as of 22:45, 20 February 2019

Model Coupling

The coupling of atmosphere and ocean plays an essential role in the Earth climate and the long- and short-term predictability of both systems. Typical uncoupled ocean modeling systems utilize atmospheric model data snapshots from files at coarser temporal and spatial resolutions and interpolate the forcing fields at each time-step to drive circulation forward. Similarly, some atmospheric modeling systems have simplistic representations of oceanic and air-sea transfer processes. They may use a static sea surface temperature field derived from satellite imagery composited over days to weeks, or one-dimensional ocean mixing models that do not represent three-dimensional baroclinic circulation on continental shelves. This method performs well in regions where the ocean evolves slowly relative to the atmosphere and where the sea state has limited impact on the atmospheric state. However, in coastal areas, the ocean can respond to the atmosphere rapidly and is highly variable over short spatial scales. In these cases, significant feedbacks between the ocean and atmosphere occur regularly (Olabarrieta et al., 2012; Glenn et al., 2016; Seroka et al., 2016, 2017; Chambers et al., 2014).

Several coupling interfaces exist to exchange data between ESM components including the ESMF (Collins et al., 2005), MCT (Larson et al., 2005), and OASIS (Valcke, 2013) libraries. All three coupling libraries have been used for coupling ROMS with an atmosphere model (e.g., Turuncoglu and Sannino, 2017, Warner et al., 2010, Renault et al., 2016, respectively).