A simultaneous calibration method for multiple ocean model parameters

Abstract

The invention provides a simultaneous calibration method for multiple ocean model parameters, which comprises the following steps: constructing a ground wave radar observation system, and obtaining surface flow field observation data; Acquiring seawater stratification and water depth of the research sea area, and deriving a flow field with average depth from a surface flow field; Constructing a two-dimensional positive pressure ocean accompanying assimilation model considering wind stress and sea surface air pressure under a spherical coordinate system; Giving an empirical formula of the windstress drag coefficient and the bottom friction coefficient in the two-dimensional positive pressure ocean accompanying assimilation model, and giving an empirical coefficient adjustment strategy in the empirical formula; Based on a two-dimensional positive pressure ocean accompanying assimilation model, assimilating flow field data with average depth, and meanwhile, carrying out optimization adjustment on the wind stress drag coefficient and an empirical coefficient in a bottom friction coefficient empirical formula, so that simultaneous calibration of the wind stress drag coefficient and thebottom friction coefficient is realized. According to the method, the model parameters are ensured to have certain physical significance, and a plurality of model parameters are efficiently determined at the same time.

Description

technical field [0001] The invention relates to the field of oceanographic model parameter calibration, in particular to a simultaneous calibration method for multiple oceanographic model parameters. Background technique [0002] Oceanographic models obtain the temporal and spatial distribution of marine environmental variables by solving the Navier-Stokes governing equations, which are quantitative and predictive and play an increasingly important role in basic scientific research and resource development activities. In addition, accurate ocean numerical prediction results are the basis for drift prediction of oil spills at sea and drift prediction of targets in distress at sea. [0003] In the oceanographic model, there are many processes that need to be parameterized. The wind field at the upper boundary of the ocean is an important source of ocean energy. The influence of the sea surface wind field on the ocean is often parameterized by the wind stress calculation formu...

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Problems solved by technology

However, the empirical coefficients often take different values ​​under different experimental conditions, different sea areas, and different marine environments. Therefore, directly adopting the empirical coefficients in the literature without thinking may cause a large difference be

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