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

An effective wave height and ocean wave technology, which is applied in forecasting, data processing applications, computing, etc., and can solve the problems that restrict the reliability of wave height forecasting and limited coverage.

Inactive Publication Date: 2014-09-03
HOHAI UNIV
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for forecasting sea wave significant wave height based on ERA-Interim
  • Method for forecasting sea wave significant wave height based on ERA-Interim
  • Method for forecasting sea wave significant wave height based on ERA-Interim

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0050] In conjunction with Figure 1 and taking a certain sea area in China as an example, the present invention predicts the effective wave height based on the ERA-Interim method for predicting the effective wave height of the ocean wave. The specific steps include the following:

[0051] S1: Obtain raw data and perform data preprocessing, including:

[0052] S11: Collect the sea level pressure SLP and significant wave height Hs data from 1981-2000 from the ERA-Interim analysis data set of the European Mesoscale Weather Prediction Center in a certain sea area of ​​China based on the grid model;

[0053] S12: Obtain the coordinates of the grid points marked by the collected data once every 6 hours, and extract the sea level pressure matrix S corresponding to the coordinates of the grid points marked by the meteorological forecast data at each time based on the coordinates. Effective The wave height matrix H contains m spatial points, and each spatial point contains n observation data:...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04
Inventor 吴玲莉张玮吴腾梁桂兰焦楚杰
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap