19 results about "Pacific ocean" patented technology

The invention discloses a coupling evaluation index-based energy flow path evaluation system for a sea-mountain ecosystem, and relates to the technical field of marine ecological evaluation and management, and the system comprises an evaluation center which is in communication connection with a region deployment module, a multi-source collection module, a coupling analysis module, an energy evaluation module, a data management module and a decision support module. According to the system, systematic and standardized collection of biological and environmental data in the sea and mountainous areas is realized through gridding partition of the region deployment module and directional equipment layout in combination with layered collection of the multi-source collection module and standardized pretreatment of samples; the coupling analysis module constructs a coupling index, analyzes an energy flow key path, screens a key environment factor and provides a quantitative evaluation basis; and the energy evaluation module calculates the efficiency of the biological pump, evaluates benthic food supply and spatial change and visually presents the benthic food supply and spatial change, so that refined evaluation and management of ecological energy flow in the western pacific sea mountainous area are realized.

The invention relates to an East India Ocean sea level height positive anomaly next year ENSO event forecasting method, and the method comprises the steps: employing the mark parameters of the sea abnormally descending Kelvin wave of the tropical East India Ocean during the India Ocean negative dipole event, such as the sea level height anomaly or the subsurface sea temperature anomaly; comprising the following steps: using near equatorial sea level height or subsurface sea temperature abnormity of Indonesian sea or Western Pacific Ocean, or Kelvin wave of East India Ocean obtained through India Ocean wind field, using a regression forecasting model, and using path change of old flow of Pacific Ocean cotton lancea in winter and spring or Western Pacific Ocean west wind outbreak index as a logic switch, and the starting process and the explosion intensity of the ENSO event can be forecasted. According to the method, spring obstacles can be broken through, and the outbreak and the intensity of the El Nino and La Nina events can be successfully forecasted.

The application provides a method for determining the variation characteristics and mechanism of the Pacific whole basin SECC based on a temperature-salinity inversion flow field, obtains monthly average Argo temperature-salinity data; deduces AGCs by using the monthly average Argo temperature-salinity data, draws an AGCs flow field map according to the AGCs, and delimits the spatial range of the SECC each month, quantifies the seasonal and interannual variations of the longitude and latitude boundary, vertical depth, flow axis, flow velocity and flow of the SECC, determines the variation law of the flow velocity, flow axis position and flow of the SECC in different seasons or years, and combines a sensitivity experiment method to clarify the regulation mechanism of the wind stress curl anomaly and ENSO event on the SECC. The application solves the blank of the three-dimensional range of the SECC in the whole basin and the variation of the three-dimensional range, flow axis, flow velocity and flow of the SECC on the seasonal and interannual scales and the dynamic mechanism in the traditional research, and reveals the law and physical mechanism of the seasonal and interannual variations of the SECC.

The present invention discloses a globe. A globe body of the globe consists of seven layers, i.e. layers A, B, C, D, E, F and G, of graticule structures from outside to inside, wherein layer A is composed of six large plates and boundary motion directions; layers B, C and D are mainly composed of an asthenosphere, a Benioff zone, a hot spot mantle plume, an Asian cold mantle plume, an African hot mantle plume and a South Pacific hot mantle plume; layer G performs circumferential displacement motion from east to west relative to an earth surface to stir layer E to perform a vortex motion structure from east to west; and an H structure is a Luhua earth motion center.

The application relates to the field of atmospheric science and discloses an El Nino event identification and La Nina transition early warning method, equipment and medium. The method uses the sea surface temperature and the near-surface 2-meter air temperature data in the fifth-generation atmospheric reanalysis product ERA5 of the European Centre for Medium-Range Weather Forecasts, calculates the lag cross-correlation coefficient between the sea temperature grid points and the air temperature grid points, and constructs a directed network between the global air temperature and the equatorial mid-east Pacific and equatorial mid-Pacific sea temperature. The average link strength is used to quantify the importance of the air temperature node, the spatial and temporal changes of the link number and the link strength are combined, the key area with a leading response to the El Nino is identified, and the transition of the El Nino event to the La Nina event is early warned. The application helps us to deeply understand the influence of the El Nino event on the global climate system, improves the prediction accuracy of the La Nina event, and thus provides a scientific basis for the formulation of disaster prevention and response strategies.

This invention relates to a method for predicting the abundance of squid resources in the Northwest Pacific based on a time series model, belonging to the field of marine fisheries analysis and processing technology. The method includes the following steps: dividing historical catch data of Northwest Pacific squid into training and test sets; using catch per unit catch effort to characterize resource abundance; calculating the average catch per unit catch effort for each fishing location and the monthly average catch per unit catch effort; performing a unit root test on the training set data to meet stationarity requirements; establishing a seasonal single autoregressive moving average model using the training set data; establishing a seasonal multivariate autoregressive moving average model by combining data from squid spawning grounds and feeding grounds; using the test set to perform white noise testing on the residuals, goodness of fit, and prediction accuracy evaluation to obtain the optimal model; and using the optimal model to predict the abundance of Northwest Pacific squid resources. This invention establishes a more accurate resource abundance prediction model, enabling more precise prediction of Northwest Pacific squid resource abundance.

The invention relates to the field of climate prediction, and provides a western pacific ocean subtropical high pressure intensity sub-season prediction method and system based on a similar sea temperature evolution background, and the method comprises the steps: S1, collecting day-by-day data and week-by-week data of a western pacific ocean subtropical high pressure intensity index; s2, classifying evolution trend backgrounds of the sea temperature indexes every year by utilizing clustering analysis; s3-S4, for each sea temperature evolution trend background category, obtaining a corresponding cumulative probability distribution curve of the West Pacific Ocean subtropical high pressure intensity index of observation and mode return; s5, determining the background category of the real-time forecast sea temperature evolution trend; and S6, according to the determined real-time forecast sea temperature evolution trend background category, performing probability matching correction on the predicted western pacific ocean subtropical high pressure intensity index by using a corresponding observation and mode return cumulative probability distribution curve. The method can provide scientific and technological support for correctly mastering the high evolution trend of the XiTaisui and improving the accuracy rate of sub-seasonal climate prediction.

The present invention discloses a TC path and intensity prediction method, equipment and medium based on AI and physical properties, which aims to improve the short-time scale forecast accuracy of TC path and intensity. By integrating multiple factors with clear physical meanings, such as guiding airflow, ventilation flow, vorticity, ocean surface temperature, etc., these physical factors are subjected to correlation analysis and regression analysis, etc., to ensure that the input factors have a significant impact on the changes in TC path and intensity. A variety of AI models such as convolutional neural network (CNN), recurrent neural network (RNN), multi-layer perceptron (MLP), random forest (RF), extreme gradient boosting (XGBoost) and long short-term memory network (LSTM) are used to capture the complex nonlinear relationship between meteorological factors. In addition, by adopting a real-time feedback mechanism, new observation data is allowed to be dynamically input and model parameters are optimized, thereby improving the real-time nature of the prediction results. This method is particularly suitable for the northwest Pacific region and has broad application prospects, such as providing scientific support in meteorology, aviation, shipping and other fields.

The application discloses a method for improving the prediction accuracy of east Pacific squid fishing ground based on middle layer hydrological characteristics and ship position state, adopts the middle layer water temperature, the isotherm dense area position, the ocean current vortex, the cold and warm vortex and the ship position state characteristics to multiple construct the accurate identification of the squid fishing ground, constructs the method of the center fishing ground through the real-time and predicted hydrological and ship position data indication, realizes the improvement of the fishing ground prediction accuracy, the application adopts the middle layer hydrological element to indicate the east Pacific fishing ground with higher accuracy, it is difficult to reflect the environment characteristics of the actual habitat water layer of the squid, so the middle layer hydrological characteristics more accurately reflect the environment characteristic field of the squid fishing ground; real-time ship position and ship position state analysis are used to grasp the position of the high yield area of the fishing ground in time, further improve the prediction accuracy of the fishing ground, achieve the purpose of improving the prediction accuracy, and are expected to improve 10-20%; effectively solve the difficulty of squid center fishing ground prediction, and provide accurate theoretical guidance for fishery production and fishing ground transfer.

The application discloses a method for predicting interdecadal variation of El Nino and La Nina events by using warm water volume, which comprises the following steps: obtaining Nino3.4 index data, sea surface temperature data, warm water volume index data, 20 DEG C isotherm depth data and sea surface zonal wind stress data; selecting El Nino and La Nina events; calculating interdecadal variation of sea surface temperature anomaly; obtaining asymmetry and causal effect of warm water volume in predicting El Nino and La Nina events. The application solves the technical problem that the prior art does not involve interdecadal variation of ENSO events predicted by warm water volume, determines that the interdecadal variation of ENSO events predicted by warm water volume has significant asymmetry in positive and negative events, and the change trend of the key region of the tropical Pacific Ocean air-sea coupling center and the west warm and east cold aggravate the occurrence of continuous La Nina events, which influences the interdecadal variation of El Nino and La Nina events predicted by warm water volume.

The invention provides a method for determining SECC change characteristics and mechanism of a whole sea basin of a Pacific Ocean based on a flow velocity field of thermohaline inversion. The method comprises the following steps: acquiring monthly average Argo thermohaline data; the method comprises the following steps: deducing AGCs by using monthly average Argo thermosalinity data, drawing an AGCs flow field graph according to the AGCs, delimiting the spatial range of SECC per month, quantifying the latitude and longitude boundaries, vertical depth, flow axis, flow velocity and flow seasonal and interannual changes of the SECC, determining the change rule of the flow velocity, flow axis position and flow of the SECC in different seasons or interannual periods, and determining the sensitivity of the SECC in different seasons or interannual periods by combining a sensitivity experiment method. And determining a regulation and control mechanism of wind stress rotation abnormity and an ENSO event on SECC. According to the invention, the blank of SECC three-dimensional range, flow axis, flow velocity, flow change and power mechanism in a full-sea-basin three-dimensional range and seasonal and inter-annual scale in traditional research is solved, and the law and physical mechanism of SECC seasonal and inter-annual change are disclosed.

The invention relates to the technical field of meteorological evaluation, in particular to a northwest Pacific Ocean typhoon potential generation capability evaluation method, and aims to solve the problem that an evaluation result is deviated from actual observation due to the fact that an inhibition effect of a key environment factor is not included in an existing typhoon potential generation index. The method comprises the following steps: acquiring a typhoon potential generation index, a typhoon generation frequency and environmental constraint factor data of a target area; calculating a correlation coefficient between the environment constraint factor and the typhoon generation frequency; determining a sensitive area with obvious influence according to the correlation coefficient; constructing a correction function based on the environment constraint factor data of the sensitive area; a correction function is applied to correct the typhoon potential generation index to generate a new typhoon potential generation index. According to the method, the sensitive area is identified and the targeted correction model is constructed, so that the characterization capability of the index on the annual change and the long-term trend of the typhoon generation frequency is remarkably improved, and a more accurate tool is provided for climate prediction.

The invention provides a western pacific ocean subelevation ridge forecasting method based on abnormal weighting, which comprises data preparation, data processing and result output, and is characterized in that the data processing comprises two modules: a weighted diagonal averaging module oriented to abnormal year features and a deep-shallow feature fusion enhancement module; an original ridge line index sequence obtained in a data preparation stage is used as input of a weighted diagonal averaging module, a main period is determined through power spectrum analysis, and differential weighted reconstruction is carried out on a period term and a residual term obtained through singular spectrum analysis decomposition of the original ridge line index sequence. And constructing a new feature matrix, inputting the new feature matrix into a deep-shallow feature fusion enhancement module, and finally obtaining prediction of a ridge index. Compared with various advanced RI prediction methods for analysis, the RI prediction method has the advantages that the minimum mean square error is only 2.97 in continuous 6-month RI prediction experiments, the Rprecision index is improved by more than 7.7% compared with the comparison method, the RI prediction precision is remarkably improved, and good stability is achieved.

This invention discloses a seamount ecosystem energy flow path assessment system based on coupled evaluation indicators, belonging to the field of marine ecological assessment and management technology. The system includes an assessment center, which is communicatively connected to a regional deployment module, a multi-source acquisition module, a coupled analysis module, an energy assessment module, a data management module, and a decision support module. The system achieves systematic and standardized collection of biological and environmental data in seamount areas through gridded zoning and directional equipment deployment in the regional deployment module, combined with stratified acquisition and standardized sample preprocessing in the multi-source acquisition module. The coupled analysis module constructs coupled indicators, analyzes key energy flow paths, and screens key environmental factors, providing quantitative assessment basis. The energy assessment module calculates biopump efficiency, assesses benthic food supply and spatial changes, and visualizes the results, enabling refined assessment and management of ecological energy flow in seamount areas of the western Pacific Ocean.

The invention discloses a method for predicting inter-year changes of El Nino and Lenna events by using warm water volume. The method comprises the following steps: acquiring Nino3.4 index data, sea surface temperature data, warm water volume index data, 20 DEG C isotherm depth data, sea surface latitudinal wind stress data and the like; an El Nino event and a La Nina event are selected; calculating to obtain the inter-year change of the sea surface temperature anomaly; and obtaining asymmetry, causal influence and the like of the warm water volume in prediction of the El Nino and La Nina events. According to the method, the technical problem that the inter-year change of the warm water volume prediction ENSO event is not involved in the prior art is solved, and it is determined that the inter-year change of the warm water volume prediction ENSO event has remarkable asymmetry in positive and negative events; the change trend of the key area of the sea-air coupling center of the tropical Pacific Ocean and the change trend of warm west and cold east aggravate the occurrence of continuous Lenna events, and influence the inter-year change of the El Nino and Lenna events in warm water volume prediction.

This invention discloses a method for precise identification and prediction of purse seine fishing grounds in the Northwest Pacific Ocean based on marine hydrological data. The method includes the following steps: refining and visualizing historical production data and marine hydrological data for different fish species; establishing a refined system of important prediction indicators and parameters for fishing grounds and key hydrological elements; accurately identifying and predicting purse seine fishing grounds based on hydrological parameters; and drawing refined fishing ground locations, fishing ground grades, and spatial extent. This invention uses predicted hydrological elements and visualizes them, providing a simple and convenient way to present the marine environmental characteristics of the fishing ground area for easy viewing. Due to the refined and high-resolution analysis of fishing ground formation patterns in the Northwest Pacific purse seine fishing grounds and the construction of a precise fishing ground prediction indicator system, the accuracy of fishing ground prediction is greatly improved. Furthermore, the identification and prediction of central fishing grounds for different fish species, such as mackerel and sardines, is beneficial for improving enterprise profits and production efficiency.

Surface modification control stations and methods in a globally distributed array for dynamically adjusting the atmospheric, terrestrial and oceanic properties. The control stations modify the humidity, currents, wind flows and heat removal rate of the surface and facilitate cooling and control of large area of global surface temperatures. This global system is made of arrays of multiple sub-systems that monitor climate and act locally on weather with dynamically generated local forcing & perturbations for guiding in a controlled manner aim at long-term modifications. The machineries are part of a large-scale system consisting of an array of many such machines put across the globe at locations called the control stations. These are then used in a coordinated manner to modify large area weather and the global climate as desired. The energy system installed at a control stations, with multiple machines to change the local parameters of the ocean, these stations are powered using renewable energy (RE) sources including Solar, Ocean Currents, Wind, Waves and Batteries to store energy and provide sufficient power and energy as required and available at all hours. This energy is then used to do directed work using special machines, that can be pumps for seawater to move ocean water either amplifying or changing the currents in various locations and at different depths, in addition it will have machineries for changing the vertical depth profile of the ocean of temperature, salinity and currents. Control stations will also directly use devices such as heat pumps to change the temperatures of local water either at surface or at controlled depths, or modify the humidity and salinity to change the atmospheric and oceanic properties as desired. The system will work in a globally coordinated manner applying artificial intelligence and machine learning algorithms to learn from observations to improve the control characteristics and aim to slow down the rise of global surface temperatures. These systems are used to reduce the temperatures of coral reefs, arctic glaciers and south pacific to control the El Nino oscillations.

The invention provides a Pacific Ocean cod natural population migration path monitoring method and system. The method comprises the following steps: collecting a coding sound signal emitted by a cod population carrying an acoustic tag at a target node through a double-acoustic sensor vertical receiving array; determining an autocorrelation function of each channel signal in the coded sound signal at the target node and a cross-correlation function between the channel signals, and separating a plurality of signal components which are aliasing due to a seawater medium frequency dispersion effect based on a bending frequency dispersion track in a time-frequency domain of each autocorrelation function and each cross-correlation function; screening out a modal order set of dominant signal components, and converting all signal components into distance information from a sound source to a vertical receiving array of a target node double acoustic sensor through the modal order set; and reconstructing a three-dimensional migration path of the Pacific Ocean cod population in the target sea area according to the distance information of all the nodes. By adopting the scheme of the invention, the order leading the cod individual sound signal propagation mode can be identified from the sea area aliasing sound signals.