Sea surface salinity inversion algorithm based on wind cloud meteorological satellite

Abstract

The invention discloses a sea surface salinity inversion algorithm based on a wind cloud meteorological satellite. The method comprises the following steps: S1, training independent variables (X): increasing the number of hidden layers according to the need of a regression task, building a sea surface salinity satellite inversion algorithm model for a deep neural network, and setting up four independent variables including the four-waveband satellite observation remote sensing reflectance (Rrs), aCDOM, the sea surface temperature (SST) and the suspended matter concentration (TSM); and S2, measuring the sea surface salinity (Y): establishing a relationship between aCDOM, SST and TSM and the sea surface salinity through a deep learning model, and realizing the observation of the global seasurface salinity by utilizing the FY-3D/MERSI global observation capability. According to the invention, a sea surface salinity inversion algorithm of a domestic wind cloud meteorological satellite (FY-3D/MERSI) is established based on a deep learning method; observation of high spatial-temporal resolution of sea surface salinity is achieved, and the problems that due to the limitation of low spatial-temporal resolution, data quality and the like of SMOS and Aquarius/SAC-D satellites, the sea surface salinity data coverage rate is low, and the sea surface salinity cannot be observed with the high spatial-temporal resolution are solved.

Description

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AI Technical Summary

Benefits of technology

This patented technology uses advanced techniques from machine learning methods such as convolutional neural networks or support vector regression analysis to improve oceanographic saltiness detection capabilities over time without being limited by gamma rays emitted through space due to their influence upon marine environments.

Problems solved by technology

This patented technical problem addressed in this patents relates to developing a new way to measure sea surface saltiness without being limited temporally or spatially due to limitations associated with current methods like airborne radar measurements and ground boron measurement tools.

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