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・ Ocean Power Technologies
・ Ocean Power Technologies Australasia
・ Ocean Prediction Center
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・ Ocean Princess (ship)
・ Ocean privatization
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・ Ocean Racing Club of Victoria
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Ocean reanalysis
・ Ocean Recovery Alliance
・ Ocean Reef Club Airport
・ Ocean Reef Road
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・ Ocean Reef, Western Australia
・ Ocean Renewable Power Company
・ Ocean Researcher V
・ Ocean Resources Museum
・ Ocean Ridge Airport
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Ocean reanalysis : ウィキペディア英語版
Ocean reanalysis
Ocean reanalysis is a method of combining historical ocean observations with a general ocean model (typically a computational model) driven by historical estimates of surface winds, heat, and freshwater, by way of a data assimilation algorithm to reconstruct historical changes in the state of the ocean.
Historical observations are sparse and insufficient for understanding the history of the ocean and its circulation. By utilizing data assimilation techniques in combination with advanced computational models of the global ocean, researchers are able to interpolate the historical observations to all points in the ocean. This process has an analog in the construction of atmospheric reanalysis and is closely related to ocean state estimation.
==Current projects==
A number of efforts have been initiated in recent years to apply data assimilation to estimate the physical state of the ocean, including temperature, salinity, currents, and sea level, in recent years.〔Carton, J.A., and A. Santorelli, 2008: Global upper ocean heat content as viewed in nine analyses, J. Clim., 21, 6015–6035.〕 There are three alternative state estimation approaches. The first approach is used by the ‘no-model’ analyses, for which temperature or salinity observations update a first guess provided by climatological monthly estimates.
The second approach is that of the sequential data assimilation analyses, which move forward in time from a previous analysis using a numerical simulation of the evolving temperature and other variables produced by an ocean general circulation model. The simulation provides the first guess of the state of the ocean at the next analysis time, while corrections are made to this first guess based on observations of variables such as temperature, salinity, or sea level.
The third approach is 4D-Var, which in the implementation described uses the initial conditions and surface forcing as control variables to be modified in order to be consistent with the observations as well as a numerical representation of the equations of motion through iterative solution of a giant optimization problem.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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