56 results about "Sea-surface height" patented technology

The invention relates to the technical field of satellite altimetry, in particular to an altimetry method based on a residual network multi-mode deep learning model, which can remarkably improve the robustness of SSH inversion under sea condition noise interference, and is characterized in that a fusion self-attention mechanism and a residual network multi-mode deep learning model ViTResNetMDL is established, and the model ViTResNetMDL is applied to improve the robustness of the SSH inversion under sea condition noise interference. A satellite-borne GNSS-R sea surface height inversion geometric physical model is established, a ViTResNetMDL model is composed of ResNet50, ViT and MHL-NN, the first part adopts a ResNet50 convolution structure to extract effective features from an original DDM, the second part adopts a ViT layer which captures global features in an effective scattering area DDM based on a self-attention mechanism in a Transform module, the third part is composed of linear layers, and the fourth part is composed of linear layers. And using the MHL-NN to retrieve the sea surface height.

The invention relates to the technical field of crossing of satellite altimetry, electronic signaling and the like, in particular to a CYGNSS satellite intermediate frequency signal processing and sea surface altimetry method capable of improving altimetry precision, which comprises the following steps of: processing direct intermediate frequency signals, calculating specular reflection points, calculating bistatic delay, establishing an open-loop tracking model to obtain reflected signal parameters; the reflected intermediate frequency is processed, and direct intermediate frequency signal processing is achieved through open source GNSS receiver software so as to achieve estimation of the position, the speed and the time; according to the satellite-borne GNSS-R reflected intermediate frequency signal processing method, the SGRISP one-dimensional time delay correlation result is compared with the processing result provided by the Spanish Space Science Institute ICE-CSIC, and it is indicated that the SGRISP has high reliability in processing the satellite-borne GNSS-R reflected intermediate frequency signal.

The invention relates to the technical field of ocean dynamic environment intelligent forecasting, and provides a three-dimensional ocean dynamic environment intelligent forecasting method and device and electronic equipment, and the forecasting method comprises the steps: S1000, preparing 1 / 30-degree high-resolution ocean dynamic environment element data (three-dimensional temperature and salt flow and two-dimensional water level), and carrying out the normalization; s2000, selecting a corresponding model input sequence from the training set according to a forecasting strategy of the model; s3000, training a hierarchical feature projection network; and S4000: performing reverse normalization and generating future prediction data: performing reverse normalization on the feature-enhanced output data according to the maximum value and the minimum value of the ocean data, and finally generating a day-by-day prediction product of the sea surface height of the C sea, the three-dimensional sea temperature, the salinity, the latitudinal flow velocity and the longitude flow velocity with 1 / 30-degree high resolution in the future day, namely, the product is obtained by predicting the sea surface height of the C sea, the three-dimensional sea temperature, the salinity, the latitudinal flow velocity and the longitude flow velocity.

The invention discloses a real-time sea clutter simulation method based on a physical neural network, belongs to the field of sea clutter simulation, and particularly relates to a real-time sea clutter simulation method. The invention aims to solve the problems of poor real-time performance and long time consumption of the existing sea clutter simulation method. The method comprises the following steps: S1, initializing parameters and simulation; s2, numerical simulation of sea surface dynamics is realized according to a shallow water equation, and the obtained sea surface height field changing along with time, the flow velocity of the sea surface height field in the axial direction and the flow velocity of the sea surface height field in the axial direction are periodically stored; s3, constructing a physical neural network; s4, obtaining a trained physical neural network; s5, inputting the space coordinate and the time coordinate of the real-time sea clutter to be measured into the trained physical neural network, and outputting the sum; generating a real-time file in an STL format; and S6, obtaining sea clutter data by using the open source library.

The invention discloses an ocean mesoscale vortex intelligent identification method and system based on flow field geometric features and a satellite altimeter, and the method comprises the steps: obtaining the synchronous SSHA data of at least three satellites, and carrying out the calibration according to the actual measurement data of a buoy; on the basis of the calibrated SSHA data, utilizing a ground-to-balance equation to calculate weft-direction and warp-direction ground-to-balance flow velocity components; generating a flow field geometric feature VG vortex center criterion; dynamically adjusting VG vortex core criterion parameters according to the ocean dynamic environment; converting the SSHA and geostationary flow field data into a grayscale image, marking vortex polarity and a bounding box, and adding a salt and pepper noise expansion sample through random rotation; resNet-50 is adopted as a backbone network, and a bidirectional feature pyramid network BiFPN is added to optimize multi-scale feature fusion; and inputting the VG preliminary identification result into the trained ResNet-BiFPN model, and outputting the vortex position, radius and polarity. The technical defects of a traditional method in weak vortex recognition, background noise interference and calculation timeliness are overcome.

The invention discloses a satellite height measurement data optimal interpolation fusion method based on cross calibration and spectrum analysis, and the method comprises the steps: carrying out the sea surface height anomaly calculation and power spectrum analysis, and calculating the sea surface height anomaly of a satellite altimeter according to the precise orbit determination coordinates of a satellite and the distance measurement value of the altimeter; the related scale of adjacent observation points of the to-be-fused satellite altimeter is obtained through the power spectrum analysis of the sea surface height anomaly of the to-be-fused satellite altimeter; cross calibration: performing cross calibration on sea surface height anomaly of the fusion satellite altimeters by using the sea surface height anomaly of the reference satellite altimeter to obtain system deviation in the to-be-fused satellite altimeters; performing self-crossing calibration by using sea surface height anomaly of the satellite altimeter to be fused to obtain a diagonal element of an observation error covariance matrix; constructing a covariance matrix, wherein a non-diagonal element of the observation error covariance matrix is a product of a standard deviation at the two measurement points and a correlation function of the two measurement points; and fusing the fused satellite altimeter and the background field data by using an optimal interpolation method.

The present application relates to the technical field of satellite altimetry and ocean surveying and mapping, and in particular to a GNSS-R sea surface height measurement method based on variable step line segment intermediate frequency data processing, which can effectively improve the measurement accuracy and efficiency, comprising obtaining satellite-borne GNSS-R original intermediate frequency data, calculating mirror reflection points through a new variable step line segment (NVSLSM), generating a delay Doppler map (DDM), and performing sea surface height inversion. Compared with the prior art, the NVSLSM is used to process the mirror reflection points, the calculation time is increased by about 2.04 times and 1.47 times compared with the line segment bisection method and the QH method, and on the premise of ensuring the convergence accuracy, the stable solution can be reached through fewer iteration steps, thereby reducing the calculation cost per sample; in the delay Doppler map generation link, the overall calculation efficiency is increased by more than about 90%.

The application provides a method for vortex-uplift flow coordinated regulation chlorophyll-a concentration variability, relates to the field of ocean remote sensing and environmental monitoring technology, obtains multi-source satellite and reanalysis data set, constructs smooth time series; identifies dominant variability period in chlorophyll-a concentration, sea surface temperature and sea surface height anomaly, extracts monthly anomaly value sequence; applies complex empirical orthogonal function analysis to sea surface height anomaly, extracts its dominant spatial variability mode, identifies vortex distribution position and shape; according to vortex type and season, classifies and filters target vortex, carries out normalization processing to chlorophyll-a concentration and aligns to vortex center, analyzes spatial response relationship between vortex and chlorophyll-a concentration; in combination with surface chlorophyll-a concentration, sea surface height anomaly and vertical Argo buoy data, density time-depth profile graph and CHL-SLA composite graph are drawn, and the influence mechanism of vortex-uplift flow on chlorophyll-a horizontal distribution is analyzed.

The invention provides a distributed InSAR sea surface two-dimensional flow velocity and elevation measurement method and device, and belongs to the technical field of ocean microwave remote sensing. According to the method, a dual-beam BiDi mode is introduced on a distributed InSAR platform, sea surface echoes are obtained at the same time through forward and backward squint angle beams, a multi-squint angle interference pair is constructed through beam separation and sub-aperture processing, and the sea surface two-dimensional flow velocity and elevation measurement is achieved. Image registration, interference, flat ground effect removal, phase unwrapping, interference suppression and Bragg wave phase velocity removal are sequentially completed, a multi-baseline phase equation set is finally established, and decoupling and synchronous inversion of the two-dimensional flow velocity and the elevation phase are achieved. According to the method, an additional antenna or a cooperative target is not needed, the sea surface flow velocity vector and the sea surface elevation can be obtained with high precision in one-time flight, and the ocean observation efficiency and the measurement precision of the distributed InSAR are remarkably improved.

The present application relates to the technical field of satellite altimetry and ocean surveying and mapping, and in particular to a GNSS-R sea surface height measurement method based on variable step line segment intermediate frequency data processing, which can effectively improve the measurement accuracy and efficiency, comprising obtaining satellite-borne GNSS-R original intermediate frequency data, calculating mirror reflection points through a new variable step line segment (NVSLSM), generating a delay Doppler map (DDM), and performing sea surface height inversion. Compared with the prior art, the NVSLSM is used to process the mirror reflection points, the calculation time is increased by about 2.04 times and 1.47 times compared with the line segment bisection method and the QH method, and on the premise of ensuring the convergence accuracy, the stable solution can be reached through fewer iteration steps, thereby reducing the calculation cost per sample; in the delay Doppler map generation link, the overall calculation efficiency is increased by more than about 90%.

The invention discloses a sea surface height inspection equipment layout method based on an interference imaging altimeter, which belongs to the technical field of altimeter inspection, is used for sea surface height inspection equipment layout, and comprises the following steps: obtaining position data of a Glider buoy and temperature-salinity-depth data of a profile observed by the Glider buoy, putting the Glider buoy and a GNSS buoy in the same area at the same time before a satellite passes, and putting the GNSS buoy in the same area at the same time; the synchronous observation of the GNSS and the Glider buoy is realized; and carrying out position positioning when the Glider buoy descends and ascends to outcrop, carrying out matching with a grid position in a swath range observed by a satellite, and carrying out sea surface height inversion according to temperature-salinity-depth data of a section obtained through observation of the Glider buoy. The method adapts to data characteristics of different resolutions of the interference imaging altimeter, sea surface height synchronous observation of satellite data with different spatial resolutions under satellite transit is realized, and calibration inspection of the altimeter satellite is accurately completed.

The application discloses a sea surface height medium and long term prediction method and device, system and storage medium, comprising: obtaining spatial modes MEOFs, time series PCs and explained variances according to sea surface height anomaly SLA data and sea surface temperature SST data; selecting time series PCs corresponding to n spatial modes MEOFs with total explained variances greater than 95% for VMD decomposition to obtain VMD sub-modes corresponding to the PCs; using iTransformer training according to the VMD sub-modes corresponding to the PCs to obtain a sea surface height medium and long term prediction model; inputting a test set into the sea surface height medium and long term prediction model to obtain predicted sub-modes; synthesizing the predicted sub-modes into a new time series, and meanwhile, reconstructing the new time series together with the MEOFs to obtain SLA prediction values. The technical scheme of the application can realize higher-accuracy sea surface height medium and long term prediction in a selected region.

The invention provides an ocean vortex detection and identification method based on spatial-temporal characteristics, and belongs to the technical field of ocean vortex detection.The ocean vortex detection and identification method comprises the steps that sea surface height data is obtained and normalized into a two-dimensional matrix, and a mask matrix and a label matrix are generated based on vortex labeling information; the method comprises the following steps: constructing an encoder-decoder neural network model based on a shift window mechanism to perform hierarchical feature extraction and decoding, optimizing model parameters by using a training set through a cross entropy loss function, adjusting hyper-parameters on a verification set and evaluating performance on a test set, and finally realizing vortex automatic detection and identification of real-time sea surface height data. The technical problem of insufficient ocean vortex detection and identification precision is solved.

The application belongs to the technical field of circulation mixing coefficient estimation, and discloses a global estimation method, system, device and terminal of a wave-induced turbulent mixing model, the global estimation method of the wave-induced turbulent mixing model comprising: estimating the global three-dimensional structure of the internal tide-induced turbulent mixing coefficient based on the wave-induced turbulent mixing coefficient, the internal tide information extracted by the satellite altimeter and the WOA13 temperature and salinity data; determining the structure of the global internal wave spectrum; and estimating the distribution characteristics of the global annual average internal wave-induced turbulent mixing coefficient BVIW. The internal tide information extraction comprises: obtaining, processing and filtering satellite along-track sea surface height anomaly data, performing tidal harmonic analysis on the filtered data, and obtaining the internal tide harmonic constant of the global ocean tidal frequency M2. According to the derived mixing coefficient, new mixing is not created, but a mixing process that is not available under the existing framework and is rich in physical connotation is created, and the important significance of wave mixing to the circulation is given.

The invention discloses a sea surface height medium and long term prediction method, device and system and a storage medium, and the method comprises the steps: obtaining a spatial mode MEOFs, a time sequence PCs and an interpretation variance according to sea surface height anomaly SLA data and sea surface temperature SST data; selecting time sequences PCs corresponding to n spatial modals MEOFs with the total explanation variance greater than 95%, and performing VMD decomposition to obtain VMD sub-modals corresponding to the PCs; according to the VMD sub-mode corresponding to the PCs, using iTransform training to obtain a sea surface height medium and long term prediction model; inputting the test set into a sea surface height medium and long term prediction model to obtain a predicted sub-mode; and synthesizing the predicted sub-modes into a new time sequence, and reconstructing the new time sequence and the MEOFs together to obtain an SLA predicted value. By adopting the technical scheme of the invention, medium and long term prediction of the sea surface height with relatively high accuracy in the selected area can be realized.

The invention discloses a sea surface height continuous expression and reconstruction method and system for sparse satellite orbit observation, and the method comprises the steps: forming an input-output data pair according to three-dimensional time-space coordinates of an observation point of a satellite altimeter and an original along-orbit sea surface height observation value of the satellite altimeter; the three-dimensional time-space coordinates are converted into meshless continuous input coordinates; constructing a space-time continuous expression model based on implicit neural representation on the basis of a network structure of a sine cycle activation function, introducing gradient field consistency constraint and total variation regularization, and constructing comprehensive loss; and according to global sea surface height estimation output by the model, reconstructing a regular grid, calculating a sea surface height gradient, gradient change, local curvature and power agent quantity, completing continuous expression and reconstruction of the sea surface height, and realizing synchronous and high-quality reconstruction of a fine structure and an overall scene of a sea surface height field. And the defects of non-uniform sampling, high-gradient recovery and micro-analysis capability in the prior art can be effectively overcome.

The application discloses a sea surface height inspection equipment layout method based on an interferometric imaging altimeter, belongs to the technical field of altimeter inspection, and is used for sea surface height inspection equipment layout, and comprises the following steps: obtaining position data of a Glider buoy and temperature-salinity-depth data of a profile observed by the Glider buoy; before a satellite passes, the Glider buoy and a GNSS buoy are simultaneously and regionally launched, and synchronous observation of the GNSS and the Glider buoy is realized; the Glider buoy is positioned when descending and ascending to the outcrop, is matched with a grid position in a swath range observed by the satellite, and sea surface height is inverted by using the temperature-salinity-depth data of the profile observed by the Glider buoy. The application is suitable for data characteristics of different resolutions of the interferometric imaging altimeter, realizes synchronous observation of sea surface height under satellite passing by using satellite data of different spatial resolutions, and accurately completes calibration inspection of the altimeter satellite.

The present application relates to the technical field of real-time monitoring of marine hydrology, in particular to a GNSS buoy with edge computing capability and a buoy data processing method, a GNSS buoy data processing method with edge computing capability, comprising the following steps: step 1: receiving original environmental data collected by a multi-element sensor and observation data collected by GNSS; step 2: performing data validity verification on the original data of the multi-element sensor, the buoy provided by the present application is equipped with a multi-element sensor, and through a space-time registration method, the original time series of asynchronous, heterogeneous multi-source sensors collected in the multi-element sensor are output as 1 group of data per minute unified to the same time reference, a synchronous data matrix meeting physical consistency is obtained, and synchronous measurement of sea surface height, pressure, temperature and salinity, and flow velocity is realized, thereby providing rich data for oceanographic research.

The invention discloses a satellite height measurement and depth gauge combined submarine topography settlement monitoring method, which belongs to the technical field of ocean measurement, is used for submarine topography settlement monitoring, and comprises the following steps: acquiring time sequence satellite height measurement data of a monitored sea area and depth measurement data of a submarine depth gauge, and preprocessing the time sequence satellite height measurement data and the depth measurement data of the submarine depth gauge; calculating the amplitude and lag angle of astronomical partial tide by utilizing a tidal harmonic analysis method, and eliminating periodic tidal fluctuation to obtain a long-term average sea surface; obtaining an instantaneous sea surface height and a long-term average sea surface height corresponding to the position of the depth gauge through bilinear interpolation; uniformly reducing sounding data to be under a long-term average sea surface reference by calculating a tide level deviation; and constructing a seabed settlement space-time sequence model, and generating a seabed settlement rate map and an accumulated settlement volume curved surface. According to the method, time sequence satellite height measurement data and depth gauge single-point high-precision data are subjected to space-time matching and fusion, vertical reference unification and high-precision transmission from the sea surface to the seabed are achieved, and the cost of traditional ship measurement or dense arrangement of in-situ observation stations is reduced.

This invention discloses a method, apparatus, equipment, and medium for sea surface height measurement based on dual-antenna GNSS, relating to the field of reflection measurement technology. The method includes: acquiring satellite observations of several satellites from a first GNSS-R antenna and a second GNSS-R antenna at the current epoch to construct a first observation equation; the first and second GNSS-R antennas are installed on the same vertical line; the first GNSS-R antenna is used to receive direct satellite signals; the second GNSS-R antenna is used to receive sea surface reflected signals; the eastward and northward components of the baseline vector are preset as zero vectors, and combined with the first observation equation, a second observation equation is constructed and solved in real time to obtain the baseline vector; the absolute position coordinates of any one of the antennas are obtained to calculate the sea surface height. This invention can suppress horizontal errors in baseline calculation by introducing horizontal constraints, thereby improving the accuracy of sea surface height measurement results.

The present disclosure provides a sea surface height measurement correction method, device, computer equipment and program product, wherein the method comprises: obtaining each time window; for any time window, performing adaptive spectral decomposition and wave system signal extraction on the vertical displacement in each three-way displacement to obtain the time window in the band-pass frequency band corresponding to the wind wave component and the swell component and the significant wave height; determining the wind wave component direction and the swell component direction according to the mutual covariance between the three-way displacements, and determining the main frequency of the wind wave component and the main frequency of the swell component according to the band-pass frequency band; determining the wave number of the wind wave component and the wave number of the swell component through the wave number iteration mode according to the projection component of the background flow field in the wind wave component direction and the swell component direction, and the main frequency of the wind wave component and the main frequency of the swell component; determining the vertical offset according to the wave number of the wind wave component, the wave number of the swell component and the significant wave height, and determining the height sequence of the sea surface by using the vertical offset and each vertical displacement.

The present application belongs to the field of marine surveying and geodetic surveying, and discloses a far-sea GNSS buoy height reference transmission method combined with satellite altimeter, aiming to solve the technical problems of difficult transmission of 1985 national height reference in far-sea area and large height measurement error of GNSS buoy antenna, the method establishes height reference conversion relationship through shore-based leveling joint measurement, carries out precise positioning and calculation on far-sea GNSS buoy observation data, and retains effective sea surface information through low-pass filtering processing; combines satellite altimeter data to carry out space-time matching, inverses and dynamically corrects the height of buoy antenna, converts the ellipsoidal height of buoy sea surface into 1985 national height through geodetic datum difference correction, and finally outputs the results through quality evaluation. The method realizes accurate transmission of far-sea height reference and dynamic correction of the height of buoy antenna, guarantees the reliability of far-sea sea surface height calculation, and provides accurate height data support for far-sea marine observation, marine engineering and other fields.

The invention discloses a method and system for accurately estimating the inclination angle of an interference baseline of a wide-swath altimeter, and the method comprises the steps: setting a search range based on a satellite rolling angle as an initial value of the inclination angle of the interference baseline, and selecting N inclination angles in the search range; sea surface height inversion is carried out on observation data of right side view and left side view of the altimeter, averaging is carried out in the azimuth direction, one-dimensional height vectors of right side view and left side view are obtained, each vector comprises height values corresponding to M range gates, then a right side view matrix and a left side view matrix are obtained, and the sizes of the right side view matrix and the left side view matrix are both N * M; differential operation is carried out in the column direction, and a right side parallax matrix and a left side parallax matrix are obtained; calculating the absolute value of the sum of the two difference matrixes to obtain an absolute value matrix; searching a minimum value of each column, and taking a corresponding inclination angle as a preliminary estimation value of each range gate; performing error correction to obtain a corrected inclination angle estimation value; and averaging all the corrected inclination angle estimated values of the range gates to obtain a final interference baseline inclination angle estimated value.

The invention discloses a POM four-dimensional set variation assimilation system driven by reanalysis data, equipment and a medium. The method comprises the following steps: selecting a long-time sequence historical ocean reanalysis data set, extracting state variables such as temperature, salinity, ocean current and sea surface height as a basic sample set, calculating an initial field deviation with a POM ocean mode, and generating an initial disturbance set; performing EOF decomposition on the initial disturbance set, calculating variance of each mode, and selecting the first five main modes as a dimension reduction sample set; constructing an A-4DEnVar objective function, adjusting a control variable through a gradient descent algorithm, and minimizing the objective function to enable the objective function to converge, thereby obtaining an optimal POM ocean mode initial field; and an assimilated ocean mode output field is obtained through mode integration, and a POM ocean mode initial field of a next window is output. According to the method, multi-source observation of temperature, salinity and sea surface height can be assimilated, a three-dimensional temperature-salinity, flow field and sea surface height multi-element ocean mode initial field is optimized, and reliable technical support can be provided for ocean environment simulation and ocean forecasting.

The invention provides an unmanned aerial vehicle-mounted GNSS-R sea surface height measurement method based on subcarriers, and belongs to the technical field of satellite navigation and remote sensing height measurement. According to the method, direct signals and sea surface reflection signals of a global navigation satellite system (GNSS) are simultaneously received on an unmanned aerial vehicle platform, and dual-frequency combined tracking processing is performed on the direct signals so as to eliminate phase inconsistency errors introduced by independent tracking; on the basis, performing interference processing on a direct signal and a reflected signal, constructing a virtual subcarrier interference signal, and suppressing a high-frequency error component through long-time coherent integration processing to obtain a continuous and stable virtual subcarrier interference phase; and further combining the geometrical relationship among the GNSS satellite, the unmanned aerial vehicle platform and the sea surface to realize the inversion calculation of the sea surface height change. The method can effectively improve the precision and stability of GNSS-R sea surface height measurement in an unmanned aerial vehicle-mounted dynamic environment, and has the advantages of being clear in processing flow, high in anti-noise capability and suitable for implementation of a low-cost unmanned aerial vehicle platform.

The present application belongs to the technical field of physical ocean and remote sensing application, in particular to a sub-mesoscale signal extraction method based on Ku / Ka dual-frequency SAR height measurement, comprising the following steps: obtaining Ku / Ka dual-frequency sea surface height observation original data set and IMU attitude and trajectory data, registering average sea surface and tidal height to the space-time sampling position of Ku / Ka synchronous observation and deducting from the original height, obtaining two-channel initial sea surface height anomaly sequence, and processing the two-channel initial sea surface height anomaly data to obtain a fused height anomaly sequence; performing attitude coupling mode separation on the fused height anomaly sequence to obtain a height anomaly sequence after removing platform error; simultaneously performing smoothing processing to obtain a smoothed sequence; interpolating the smoothed sequence to a two-dimensional regular grid, performing small-scale secondary smoothing denoising on the grid data, and deducting the mesoscale background field at the same time after interpolating the same grid to obtain a data system of sea surface height anomaly mainly in sub-mesoscale.

This invention discloses a Bayesian inversion extraction method for the equilibrium signal of wide-span altimeter data. The method involves acquiring and preprocessing sea surface height anomaly sequences from radar interferometers and nadir altimeters. A normalized sine square window function is applied for windowing, and multidimensional spatial averaging is used to estimate the one-dimensional wavenumber power spectrum. A piecewise power law-based equilibrium signal spectrum model and a noise spectrum model constrained by dynamic sea state are constructed, and the set of spectral parameters is extracted through logarithmic domain weighted least squares fitting. A set of spatial covariance matrices is constructed using cosine integral transform and Abelian forward and inverse transforms. A graphics processor is scheduled to perform batch matrix decomposition and singular fault-tolerant regularized inversion to solve for the posterior mean vector and posterior covariance matrix of the target equilibrium signal. Window fusion and index mapping are applied to fill the gaps in nadir observations. Geostrophic dynamics parameters are calculated, uncertainty quantification is performed based on the linear error propagation law, and the knowledge base is updated based on the exponential moving average algorithm. This invention achieves suppression of observation noise and physical filling of observation gaps, improving the adaptability of the inversion system to environmental changes while preserving non-Gaussian dynamic characteristics.

The invention discloses a method for researching an influence rule of interannual change of a black tide extension body on mesoscale vortex activity, and the method comprises the steps: obtaining a mesoscale vortex trajectory data set, a sea surface height data set and a sea surface flow velocity data set of the black tide extension body, carrying out the calculation and analysis, obtaining a flow field and intensity, and extracting a flow axis; comparing and analyzing changes of the flow field, the flow axis and the strength; spatial distribution and inter-year changes of mesoscale vortex activity in stable and unstable states are researched; the influence of flow axis swinging on vortex degree space distribution is revealed; and analyzing a differential regulation and control power mechanism of the component to the mesoscale vortex activity so as to explain the vortex activity distribution difference in the step 3. According to the method, the problems that the internal mechanism of KE state transition and mesoscale vortex activity inter-year change in the existing research is insufficient in discussion, when a black tide extension body is unstable, a flow axis swings southern, so that mesoscale vortex activity space distribution shifts southern, and the strength, the number and the attributes of air vortexes and anti-cyclonic vortexes in different areas are regularly changed are solved.

The invention discloses a wave information extraction method and related equipment. The method comprises the following steps: acquiring sea surface height grid data; the sea surface height grid data comprises a plurality of sea surface height grids; each surface height grid corresponds to a sea surface height; performing modal decomposition on the sea surface height grid data to obtain a pure wave elevation field; taking the pure wave elevation field as a learning target, training a preset model and adjusting model parameters to obtain a trained target extraction model; and inputting the grid coordinates of the current sea surface height grid into the target extraction model to obtain wave information corresponding to the current grid. The method can be widely applied to the technical field of ocean data processing.

The invention provides a sea surface height numerical simulation data correction method based on deep learning, and relates to the technical field of data processing, and the method specifically comprises the steps: preparing data, and processing the data; constructing simulation satellite data based on the numerical simulation data; constructing a deep learning assimilation model; the simulation data, the background field data and the auxiliary physical quantity serve as input, numerical simulation data at a specified moment serve as a label, a deep learning assimilation model is trained, and a model capable of outputting a corrected high-resolution SSHA field is obtained; and putting a data set made of real high-resolution wide-swath satellite observation data, a low-resolution day-by-day satellite data product, numerical simulation data and auxiliary data into the trained model, and outputting a corrected sea surface height abnormal data product. According to the technical scheme, the problem that in the prior art, high-resolution satellite observation and low-resolution satellite products with good continuity cannot be fully fused is solved.