An Integrated Coupling Method for Oceanographic and Meteorological Models

Abstract

The invention provides an integral coupling method of an ocean model and a meteorological model. The integral coupling method comprises the steps of: establishing a weather numerical forecasting model based on the meteorological model; establishing an ocean numerical forecasting model based on the ocean model; and achieving integral coupling of the ocean model and the meteorological model by adopting a non-flux correction method. Through the coupling of the ocean model and the meteorological model, exchange process of energy and water vapour between an ocean underlying surface and the atmosphere is described in a more detailed and accurate manner, thereby establishing the weather numerical forecasting model suitable for offshore wind plant power prediction. By adopting a coupler technology, development and maintenance of subcomponent modes of an ocean-atmosphere coupling model are facilitated; and the adoption of the ''non-flux correction'' coupling method can ensure the flux conservation of an ocean-atmosphere interface.

Description

technical field [0001] The invention relates to a coupling method, in particular to an integrated coupling method of an ocean model and a meteorological model. Background technique [0002] The shortage of resources and the deterioration of climate and environment are becoming more and more prominent. Among the renewable energy power generation except hydropower, wind power has developed rapidly because of its lower cost and the most mature technology. Offshore wind farms have the advantages of high wind speed, stable wind force, less interference, and large power generation, and have become an important choice for future wind power development. Internationally, especially in Europe, offshore wind power has been highly valued, and European countries such as Germany, Denmark, and the United Kingdom have entered the stage of large-scale development of offshore wind power. The European Wind Energy Association predicts that offshore / offshore wind power could meet 17% of the EU'...

AI Technical Summary

Problems solved by technology

For wind power prediction, the WRF model is the most commonly used numerical weather prediction model. However, due to the complexity of factors such as changes in the underlying surface of the ocean, the WRF model is not effective in forecasting the ocean. Therefore, it is urgent to establish a numerical weather prediction model suitable for offshore wind farms. Numerical model for weather forecasting for power prediction of offshore wind farms

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