Method for forecasting sea wave significant wave height based on ERA-Interim

Abstract

The invention discloses a method for forecasting sea wave significant wave height based on ERA-Interim. The method includes the following steps that original data are acquired, and data preprocessing is conducted; an appropriate sea level pressure field is selected; a data correction forecast model in a first time period in the ERA-Interim is adopted; the prediction model is evaluated through data of a second time period which is posterior to the first time period in the ERA-Interim; the sea wave significant wave height is predicted through the forecast model. A data source is reanalyzed through the long-term stable ERA-Interim in the European centre for medium-range weather forecasts, data for forecasting the sea wave significant wave height are extracted from the data source, the sea wave significant wave height in multiple time levels can be forecasted in assistance with a principal component analysis method, operability is high, and forecast accuracy is high.

Description

technical field [0001] The invention relates to the field of sea wave parameter calculation, in particular to a method for predicting the effective wave height of sea waves based on ERA-Interim (a type of reanalysis data provided by the European Mesoscale Weather Prediction Center). Background technique [0002] Ocean waves are the ocean phenomenon most directly and closely related to human beings, and have a non-negligible impact on people's production and life. For example, sea navigation, fishery production, offshore oil platforms, and offshore port channels are all closely related to ocean waves. [0003] Significant wave height is an important parameter to reflect the characteristics of ocean waves, so the prediction research of wave height has important practical significance. To predict the wave height of ocean waves, long-term and stable ocean wave observation data must first be obtained. However, although traditional observation methods such as buoys can accurately...

AI Technical Summary

Problems solved by technology

However, although traditional observation methods such as buoys can accurately obtain information on changes in wave height, they can only obtain changes in fixed points, and the coverage is very limited. It is difficult to obtain continuous data for more than 20 years in the Chinese sea The buoy observation data of sea surface waves

[0004] With the maturity of satellite remote sensing technology, satellite data has gradually begun to be applied. However, although the satellite data on wave heights cover a wide range, they only have data from the last 20 years at most, which seriously restricts the reliability of wave height prediction.

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