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Sea wave significant wave height long-term trend prediction method based on reanalysis data

A technology for significant wave height and trend prediction, applied in forecasting, data processing applications, instruments, etc., can solve the problems that restrict the reliability of significant wave height and limited coverage of ocean waves, and achieve the effects of reducing wave disasters, high accuracy, and maintaining safety and stability

Inactive Publication Date: 2014-09-17
HOHAI UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

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. Currently, it is difficult to obtain continuous data for more than 20 years Buoy observation data of sea surface waves
With the maturity of satellite remote sensing technology, satellite data are gradually being applied. Although the satellite data on sea wave height have a wide coverage, they are only the data of the past 20 years at most, which seriously restricts the research on the long-term trend of sea wave effective wave height. reliability

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  • Sea wave significant wave height long-term trend prediction method based on reanalysis data
  • Sea wave significant wave height long-term trend prediction method based on reanalysis data
  • Sea wave significant wave height long-term trend prediction method based on reanalysis data

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Embodiment Construction

[0035] The specific implementation manners of the present invention will be further described in detail below in conjunction with the drawings and examples.

[0036] Now take a certain sea area in China as an example, apply a kind of long-term trend prediction method of significant wave height of sea waves based on reanalysis data proposed by the present invention to forecast the long-term trend of significant wave height of sea waves, combine figure 1 , the specific steps include the following:

[0037] Step 1. Collect the sea level pressure SLP and significant wave height Hs data of the ERA-Interim reanalysis data set of a certain sea area in China based on the grid model at each time period from 1981 to 2000. The data interval is once every 6 hours; But not limited to this, the weather forecast data of each period of 20 to 30 years from the ERA-Interim reanalysis data set of the European Center for Mesoscale Weather Prediction based on the grid pattern can be collected, and...

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Abstract

The invention relates to a sea wave significant wave height long-term trend prediction method based on reanalysis data. The sea wave significant wave height long-term trend prediction method is characterized by comprising the steps that (1) weather forecast data of an ERA-Interim reanalysis data set at each time frequency are collected, (2) coordinates of all lattice points are obtained, (3) SLP anomaly and standard deviation are calculated, (4) principal component analysis of the SLP anomaly is conducted, (5) Box-Cox transformation is conducted on sea area data, (6) a predictive factor of sea wave significant wave height is calculated, (7) the standard deviation of the significant wave height and the predictive factor is calculated, (8) the predictive factor is applied into a prediction model, (9) a significant wave height lagged value is applied into the model, (10) SLP field prediction on the basis of EOF is carried out, (11) predictive factor optimization selection is conducted, (12) the sea wave significant wave height is predicted through the model, (13) the prediction level is evaluated, (14) the sea wave significant wave height long-term trend is calculated, and (15) a significant wave height long-term trend chart is drawn. According to the sea wave significant wave height long-term trend prediction method based on the reanalysis data, the significant wave height long-term trend of multiple time frequencies can be predicted, and accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of sea wave parameter prediction, in particular to a long-term trend prediction method of sea wave significant wave height based on reanalysis data. Background technique [0002] Waves have a non-negligible impact on people's production and life, such as sea navigation, coastal port construction, waterway engineering, fishery production, etc. are closely related to waves. In addition, the safety of offshore oil platforms is also closely related to sea waves. The significant wave height of ocean waves is an important parameter reflecting the characteristics of ocean waves, so it is of great practical significance to analyze and predict the trend of significant wave height of ocean waves. 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. Currently, it is difficult t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26
Inventor 吴玲莉张玮吴腾焦楚杰
Owner HOHAI UNIV
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