High-precision significant wave height data estimation method

Abstract

The invention provides a high-precision significant wave height data estimation method, and the method comprises the steps: obtaining the significant wave height data and geographical and atmospheric parameter data of all near-shore land sites and ocean buoys in a target region, screening parameters with higher relevancy, dividing the sample data in different historical periods into training data and verification data, obtaining a multivariate regression relationship between significant wave height data and geographical and atmospheric parameter data based on a stepwise clustering method, and obtaining a cumulative probability distribution function and a transfer function between an analog value and an observed value of the significant wave height data by using a quantile mapping method based on verification data. Geographic and atmospheric parameter data in a future situation in a global climate model are used as input quantities of a multiple regression statistical relationship, future significant wave height data are predicted, and the future significant wave height data are corrected by using a transfer function. According to the method, the relationship between the significant wave height and the climatic factors is established, the ocean index influence analysis under the climatic change condition can be carried out, and the significant wave height data prediction precision is improved.

Description

technical field [0001] The invention relates to the technical field of meteorological information, in particular to a high-precision effective wave height data estimation method. Background technique [0002] As one of the manifestations of ocean dynamics, waves undergo regular periodic undulating movements, which are related to climate elements such as sea breeze and air pressure changes. At the same time, the movement of waves directly affects the temporal and spatial evolution of regional and even global oceans. Studying the spatial and temporal distribution of waves and their future trends is an important part of studying the interaction mechanism between meteorology and the ocean. [0003] The essence of waves is an irregular combination of waves with different wave heights, periods, and peak values. As one of wave elements, wave height is an important aspect of analyzing wave properties and its influence. One of the main parameters in the study of waves is the signi...

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Problems solved by technology

[0005] In order to solve the defects in the process of integrating wave information into climate change impact assessment, such as low data accuracy, special parameters, and wave information that cannot be directly used in climate change impact assessment, etc., the present invention uses a step-by-step clustering method to carry out effective wave height data in selected areas. Downscaling operation to obtain high-precision and high-accuracy significant wave height data

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