ERA (ECMWF (European Centre for Medium-range Weather Forecasts) Reanalysis)-Interim and ERA40-based method for predicting significant wave height of sea waves

Abstract

The invention discloses an ERA (ECMWF (European Centre for Medium-range Weather Forecasts) Reanalysis)-Interim and ERA40-based method for predicting a significant wave height of sea waves. The ERA-Interim and ERA40-based method comprises the following steps: acquiring original data, performing data preprocessing; selecting a proper sea-level pressure field; correcting a model by using data of ERA-Interim; evaluating the corrected model by using data of ERA40; and predicting the significant wave height of the sea waves. According to the ERA-Interim and ERA40-based method, information of predicting the significant wave height of the sea waves is extracted from a long-term stable ERA-Interim reanalysis data source of the ECMWF; further, under the assistance of a method of analyzing a main component, and by using the ERA40 reanalysis data source, the evaluation is performed, thus the significant wave height of the sea waves of multiple hour-times can be predicted; and the ERA-Interim and ERA40-based method is strong in maneuverability and high in prediction accuracy rate.

Description

technical field [0001] The invention relates to the technical field of ocean wave parameter forecasting, in particular to a method for predicting the effective wave height of ocean waves based on ERA-Interim and ERA40 (reanalysis data provided by the European Mesoscale Weather Forecasting 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...

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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