Ocean internal wave forecast method based on synthetic aperture radar image and internal wave model

Abstract

The invention discloses an ocean internal wave forecast method based on a synthetic aperture radar image and an internal wave model and relates to the technical field of physical oceanography and information processing. The ocean internal wave forecast method comprises the following steps of: building a two-dimensional transmission model based on the ocean internal wave according to an ocean internal wave parameter inverted from an ocean internal wave image of a satelliteborne synthetic aperture radar as well as submarine topography data and pycnocline historical distribution of a region where an internal wave exist; forecasting a position, a shape, a speed, an amplitude and wavelength information of the ocean internal wave after a certain time; and drawing an internal wave ridge line distribution graph at a certain moment when forecast is required according to the acquired information. The internal wave forecast method is simple and reliable.

Description

technical field [0001] The invention belongs to the technical field of physical oceanography and information processing, and relates to an ocean internal wave prediction method based on a synthetic aperture radar image and an internal wave model. Background technique [0002] Internal ocean waves are an ocean phenomenon. As long as the seawater density is stratified stably and there is a disturbance source that makes the water particle of the stratified ocean leave the equilibrium position, the water particle will oscillate under the action of the restoring force, thus causing the density surface to fluctuate. Because the density distribution of seawater is often in an uneven state, and air pressure, wind, topography, tides, currents, etc. can cause disturbances, internal waves in the ocean are a common phenomenon. [0003] Synthetic Aperture Radar (SAR) is an active microwave remote sensing method developed in the late 1950s. Compared with other remote sensing methods, it ...

AI Technical Summary

Problems solved by technology

Therefore, it is inaccurate to directly predict the position information of the internal wave after a certain moment using the results obtained from the inversion of SAR images, and it is impossible to predict information such as velocity, wavelength, and amplitude.

At present, there is no more accurate method of using SAR images to predict the position, shape, velocity, wavelength, and amplitude of ocean internal waves after a certain moment

Images