12 results about "Pacific ocean" patented technology

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.

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 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 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.

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.

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.