64 results about "Tropical cyclone" patented technology

A method and apparatus for inhibiting or weakening the development of tropical cyclones by detecting the onset of tropical cyclonic activity using at least one storm tracking weather satellite and using at least one submerged modified nuclear powered submarine to pump cool subsurface water to cool the surface water in the area of such activity. The method and apparatus contemplate moving the submarine with the movement of the tropical cyclone as tracked by satellite with the objective that cooling activity is optimally positioned and unrelenting.

The invention discloses a typhoon prediction method based on a deep learning hybrid CNN-LSTM model, and aims to solve the problems of unstable prediction result and low accuracy of an existing typhoonprediction method. According to the technical scheme, firstly, a historical optimal tropical cyclone path data set and global atmospheric marine variable data are obtained to form a data set of a training model, and then a typhoon prediction model of hybrid CNN-LSTM (Long Short Term Memory) is constructed, and training fitting is carried out on the typhoon prediction model of the hybrid CNN-LSTMby use of the data set of the training model, and finally, the trained hybrid CNN-LSTM typhoon prediction model is used for predicting whether the typhoon is formed or not and predicting the formed path and intensity. According to the typhoon prediction method and system, existing public data sets and a deep learning framework can be conveniently used for constructing and predicting the model, andafter typhoon data and atmospheric marine variable data in recent dozens of years are used for training the constructed model, the trained model can be directly used for effectively improving the typhoon prediction accuracy.

The invention provides a spatial valuing method of design air speed of an overhead transmission line of a coastal region. The method comprises the steps of 1) collecting, reviewing and correcting materials; 2) analyzing tropical cyclone characteristics of the coastal region; 3) calculating the theoretic long-term air speed through meteorological observatory; 4) performing supplementing calculation through an automatic meteorological observatory; 5) performing spatial interpolation and optimizing of the designed air speed. According to the method, the data of an ocean station and the automatic meteorological observatory are fully utilized, the data of the ocean station are introduced to clearly reflect the trend of the air speed changing from the coastal region to the inland; the data of the automatic meteorological observatory are introduced to provide more design air speed spatial interpolation points, and therefore the representation of the basic meteorological data of the transmission line project can be improved; in addition, the reasonability and stability of the spatial distribution of the design air speed can be ensured by the optimal space interpolation method. The spatial valuing method of design air speed of the overhead transmission line of the coastal region is accurate in air speed calculation result.

A method for hurricane prevention by cooling the surface of the ocean water in the path of a tropical cyclone. This method is achieved by displacing the warmer surface water with the cooler water below it. The method involves using a surface vessel, such as a ship, in a region of open water to dissipate or weaken tropical cyclones by positioning the surface vessel in a path of travel of a tropical cyclone. The surface vessel is equipped with a redistribution device to collect warm surface water as the surface vessel is propelled through open water, and the warm water is diverted beneath its natural stratification level and replaced with cooler water along the surface of the open water.

High sea surface temperatures (SST) are a major factor in the formation and maintenance of tropical cyclones. Global warming has contributed to a rise in SSTs causing an increase in tropical cyclone formation. This increase in SSTs in the Atlantic basin is attributed to failing of the ThemoHaline Currents (THC) that provides warm ocean waters to Europe. Should the THC fail, it is estimated that Europe would be plunged into a 200-400 year ice age. The invention described herein uses OTEC or similar technology to pump cold ocean water to the surface, reducing SSTs limiting the formation and growth of tropical cyclones. Additional benefits would include strengthening of the THC as well as providing a stop-gap solution for global warming while more responsible manufacturing and industrial methods are designed and implemented. With limited additions to the OTEC platform other benefits can be derived including but not limited to mariculture, algaeculture, biodiesel and ethanol production, and carbon sequestration.

The invention turns a hurricane / tropical cyclone into a tropical rainstorm by spraying a super coolant such as liquid oxygen, or liquid hydrogen, or liquid nitrogen, or other super cold liquid gas around the top of the eye wall and additionally if needed, into the front of the eye wall using aircraft with pre-measured amounts of super coolant. Based on actual results, a real time computer system will be developed to enable communications between aircraft and control the amount of super coolant dispersed. The result of the invention will reduce / eliminate the damage to life and property due to high winds and storm surge as well as the staggering costs for rebuilding.

The invention provides a tropical cyclone intensity objective determination method based on a satellite cloud chart and an RVM. The method is used for constructing a tropical cyclone (TC) intensity objective determination model based on the satellite cloud chart and the RVM (relevance vector machine). The method mainly comprises the following two aspects: 1) carrying out fusion on infrared and water vapor channel cloud charts by utilizing a Laplacian pyramid algorithm, constructing a deviation angle-gradient co-occurrence matrix with the TC center as a reference point, constructing characteristic factors closely related to TC intensity by utilizing a plurality of statistical parameters in the co-occurrence matrix and information of TC kernel scale and center latitude and the like, and establishing the TC intensity objective determination model by utilizing the RVM; and 2) based on the fused satellite cloud chart, and with each point as the reference point in sequence, constructing a deviation angle-gradient co-occurrence matrix and calculating a minimum value, a median value and a mean value of a co-occurrence matrix statistical parameter array. The method constructs the characteristic factors closely related to TC intensity by utilizing the plurality of statistical parameters of the co-occurrence matrix parameter array and information of TC kernel scale and center latitude and the like, and establishes the TC intensity objective determination model by utilizing the RVM.

The invention discloses an automatic identifying system of northwest Pacific Ocean annular tropical cyclone. Firstly, an automatic identifying system specific to the northwest Pacific Ocean annular tropical cyclone is built up; typhoon satellite data, environment field, sea temperature field data to be judged are input to the automatic identifying system; the system can automatically identify a series of physical features of the typhoon on the basis of these feature parameters through pre-screening and linear judgment or BP neutral network, and warn the typhoon in accordance with the feature of the northwest Pacific Ocean annular tropical cyclone, thereby providing help for forecasting this kind of typhoon.

A navigable vessel for use in reducing the intensity of a tropical cyclone having an eye located over an ocean comprises a plurality of artificial snow-making devices aboard the vessel, at least one pump coupled to the devices and accessible to a body of water in which the vessel is floating for supplying the devices with water for making artificial snow, and a power source coupled to the devices to operate the devices in concert for producing a substantially uninterrupted supply of artificial snow. The artificial snow-making devices have discharge nozzles oriented to project the artificial snow away from the vessel onto or above the water adjacent the vessel.

The invention discloses a method to estimate the intensity of tropical cyclones across the Northwest Pacific Ocean by using a geostationary meteorological satellite image. The method is characterized by comprising the following steps: extracting the information of the infrared window area brightness temperature and the water vapor channel brightness temperature of a typhoon inner core area in a satellite image in which the interval of longitude is equal to the interval of latitude ; acquiring the WIRA index values by using the brightness temperature information; calculating the mean value for total WIRA index values acquired, to acquire the mean value , and to count total corresponding pixel points W when the WIRA index values are in the range of in the typhoon core area; and using the typhoon intensity equation: I=985.474-0.033xW-2.391x10<-5>xW<2> to obtain the typhoon intensity. This method can indicate the symmetric level changes for the convective axis, and can also exclude thin cirrus, stratospheric water vapor anomalies and penetrating convection, and can provide indexes that are best related with the intensity of the optimal path of a typhoon, so that the typhoon intensity is calculated more accurately.

The invention discloses a tropical cyclone path forecasting method based on grid big data statistical method, which comprises the following steps: dividing the important sea area where the tropical cyclone path appears or occurs into grids according to longitude and latitude with one degree as step length, and counting the occurrence frequency and distribution of all tropical cyclone path nodes; Select the node before the tropical cyclone path enters the 24, 48 or 72 hour warning line as the starting point, filter the large data passing through the grid where the starting point is located, andcount the historical correlation data of all historical tropical cyclone tracks at the point, the former node and the latter node. The main factors that determine the track of tropical cyclone are analyzed and screened, As the forecast parameters, the probability distribution of the forecast parameters from the node before the start point to the start point, and from the node after the start point to the start point in the big data is calculated, and the statistical forecast model of the tropical cyclone track node based on the big data is established, and forecasting and early warning of thetropical cyclone path are carried out according to the forecast model.

The invention provides a tropical cyclone intensity objective monitoring method based on a long- / short-term memory network model. The tropical cyclone intensity objective monitoring method comprises the following steps: (1) processing an infrared satellite cloud picture; (2) extracting brightness temperature characteristic parameters of tropical cyclones from the infrared satellite cloud picture processed in the step (1); (3) extracting morphological characteristic parameters of tropical cyclones from the infrared satellite cloud picture processed in the step (1); and (4) monitoring the tropical cyclone intensity based on a long- / short-term memory LSTM model according to the brightness temperature characteristic parameters and the morphological characteristic parameters in the steps (2) and (3). According to the monitoring method, the dependence on the experience of an operator in the tropical cyclone intensity determination process can be reduced, the subjectivity in the analysis process is reduced, and the tropical cyclone intensity determination precision is remarkably improved.

The invention discloses a ship-tropical cyclonedynamic displayplotting method and a system based on an ECDIS (Electronic Chart Display and Information System). The method comprises the following steps of: S100, collecting forecast information of a tropical cyclone; S200, collecting live information of the tropical cyclone; S300, converting the forecast information and the live information of the tropical cyclone into tropical cyclone graphic identification data expressed on an ECDIS standard base; S400, recording shipping information, and converting the shipping information into ship graphic identification data; and S500, plotting the tropical cyclone graphic identification data and the ship graphic identification data onto the ECDIS base with area geographic information, and finishing plotting a ship-tropical cyclone at the moment. The system takes the ECDIS or an electronic map with clear background information and comprehensive shipping data as a platform, is used for automatically displaying many tropical cyclone forecast positions, paths, and a position and a planned routeof a ship hourly, has characteristics of being dynamic, visualized, real-time, and convenient to use, is easy for enterpriseship management personnel and ship navigators to judge quickly and reasonably according to a relative position of the tropical cyclone and the ship, and can better guarantee the safety of the ship and people on board.

The invention relates to a precipitation forecasting system for a landing tropical cyclone process, and the system comprises a generalized initial value construction module which constructs generalized initial values of a plurality of variables having an influence on a forecast amount, and transmits the generalized initial values to an initial value similarity discrimination module; the initial value similarity discrimination module discriminates the similarity of each single variable contained in the generalized initial value; sequentially calculating path similarity area indexes of the target TC path and the historical TC path in the similar region; comparing the time of the starting point of the target TC with the time when the historical TC generates rainfall to the land for the firsttime and marking the historical TC with the difference not exceeding a certain time, and comparing the intensity of the target TC with the intensity of the historical TC and marking the historical TCwith the difference not exceeding a certain intensity level; arranging the marked historical TC numbers from small to large according to the TSAI values to obtain the sequence of the marked historicalTC, and determining m optimal similarity initial values to be sent to the ensemble forecasting module; and the ensemble forecasting module acquires the corresponding forecast quantity of the optimalsimilar initial value and ensembles the forecast quantity.

The invention relates to a washing-machine provided with a large wave wheal and a small wave wheel which run respectively. The washing-machine comprises a water holding cylinder, a washing dewatering cylinder and the wave wheels. The wave wheels include the large wave wheel and the small wave wheel; wherein, the large wave wheel is a pelviform wave wheel and the small wave wheel is arranged in the center inside the pelviform wave wheel; the inner wall of the pelviform wave wheel is provided with a salient; the pelviform wave wheel is sheathed in the bracket of the wave wheel by a connection flange. The washing dewatering cylinder is fixedly connected with the bracket of the wave wheel by a connector. The bracket of the wave wheel, the pelviform wave wheel and the small wave wheel are connected with three rotation shafts; therefore, the running directions of the pelviform wave wheel and the small wave wheel are opposite but the washing dewatering cylinder does not run when washing; when dewatering, the pelviform wave wheel, the small wave wheel and the washing dewatering cylinder run simultaneously with the same direction. When the washing-machine is running, the two wave wheels respectively run in opposite directions, thus generating a water flow similar to a tropical cyclone; simultaneously, the reasonable arrangement of running and stopping of single wave wheel is syncretized, thus enlarging the vibration of the water flow and further improving the washing effect.

The invention utilizes the uniformity of gradient distribution of the infrared brightness and temperature deviation angle to locate the central position of the tropical cyclone. Firstly, a region of interest is intercepted from an infrared satellite image, and Bezier histogram segmentation and K-Means clustering segmentation are respectively conducted to obtain a binary image of a tropical cyclonemain cloud system and a binary image of intense change location of infrared brightness and temperature. Then, the obtained binary images are subjected to Hough transform to detect circle so as to reduce the search range for the tropical cyclone center. Finally, deviation angle gradient distribution uniformity matrix is calculated and obtained with each pixel in a detection area as a reference center, and then the tropical cyclone center lies in the position of the maximum value in the deviation angle gradient distribution homogeneity matrix. Experiments show that the method achieves satisfactory results for the locating of the center of tropical cyclones with or without eye.

The invention relates to a landing tropical cyclone daily rainfall forecasting system. The system comprises: a generalized initial value construction module for receiving paths of historical TC, obtaining a forecast path of a target TC at a certain path report starting moment, and combining observation paths of the forecast path of the target TC before the path report starting moment into a targetTC path, performing processing to obtain TC moving speed information of the target TC and the historical TC in a specific day scale time period; the initial value similarity discrimination module which constructs a daily scale similar region, identifies the nearest point and the shortest distance of the historical TC, calculates the similarity degree of the historical TC path and the target TC path, marks the historical TC of which the moving speed difference with the target TC reaches a threshold value, marks the historical TC of which the shortest distance is greater than a certain threshold value, and selecting m optimal similar historical TCs to send to an ensemble forecasting module; the ensemble forecasting module which obtains and ensembles the specific daily precipitation field ofthe optimal historical TC. The system has good forecasting performance for TC daily precipitation in China.

The invention discloses a satellite observation completion method based on reanalysis data and unbalanced learning, and the method comprises the steps of proposing an R2S framework, employing relatedvariables in the reanalysis data to simulate satellite observation, thereby filling the blank of satellite observation, constructing an R-S data set through employing an STM method under the R2S framework, and obtaining a satellite observation completion model suitable for tropical cyclone sea surface wind speed, wherein the R2S framework can significantly improve the space coverage rate and timeresolution of satellite observation; the invention further provides an SIMBA method, the performance of the complementation model at the high wind speed is improved through unbalanced learning, the method is combined with conventional machine learning to obtain a hybrid complementation model; the hybrid model is superior to the conventional machine learning model in the aspect of high wind speed complementation and superior to the unbalanced learning model in the aspect of medium-low wind speed complementation, and the completion result of the hybrid model is close to the field observation value, and the completion result is accurate.

The invention provides a global typhoon message collection method and collection system based on a CNN, and belongs to the field of typhoon monitoring. According to the global typhoon message collection method based on the CNN, typhoon is classified and monitored on the basis of constructing a typhoon classification and recognition model based on the CNN, when it is recognized that tropical cyclone is generated, a tropical cyclone generation sea area is positioned, message data are actively extracted from a message editing center to which the positioned sea area belongs, and according to the actively extracted message data, a typhoon message is compiled and uploaded to a typhoon early warning publishing platform, and when it is judged that the typhoon message is an effective typhoon message, the complete typhoon message is collected and subjected to persistent storage According to the method, the typhoon early warning information can be actively identified, and the typhoon message is acquired from the WMO after typhoon early warning is identified, so that the transmission distance is saved, the transmission timeliness is improved, the integrity of the message is improved, and the resource consumption of persistent storage of the message is reduced.

The embodiment of the invention discloses a tropical cyclone precipitation and non-tropical cyclone precipitation separation method and equipment and a storage medium. The method comprises the steps of acquiring information of a tropical cyclone event, wherein the information of the tropical cyclone event comprises the central position of tropical cyclone, the air pressure of the tropical cycloneand rainfall grid data; dividing the precipitation grid data into an inner ring area, an outer ring area and a transition area according to the central position of the tropical cyclone and the air pressure of the tropical cyclone; acquiring a growth starting region, and performing neighborhood connection operation by taking the growth starting region as a starting point and taking a preset size asan operation unit to obtain a connection result; dividing annular regions from inside to outside by taking the central position of the tropical cyclone as a circle center, calculating precipitation in each annular region, and obtaining a tropical cyclone precipitation attenuation range according to the precipitation in each annular region; and obtaining tropical cyclone precipitation and non-tropical cyclone precipitation. According to the method, tropical cyclone precipitation and non-tropical cyclone precipitation can be accurately separated, and powerful support is provided for researchingtropical cyclones.

The invention discloses a method for judging a dynamic strength index of influence on upper-layer oceans by tropical cyclones, and belongs to tropical cyclones evaluation methods. The method comprisesthe following steps: acquiring tropical cyclone path tracking data; acquiring depth data of a seawater mixing layer during tropical cyclone transit; extracting required tropical cyclone movement timechange data, longitude and latitude coordinate data, maximum wind speed radius and maximum continuous wind speed data; calculating Coriolis parameters according to a formula; calculating the moving speed of the tropical cyclone; calculating a dynamic intensity index COI of the influence of tropical cyclones on the upper ocean by utilizing a judgment formula; analyzing a calculation result, and evaluating the dynamic intensity of the influence of tropical cyclones on the upper-layer ocean. According to the method, richer and more accurate influence factors are considered, and therefore the calculation result has higher accuracy and practical significance; the method has universality, can be suitable for different sea areas, and provides convenience for researching the influence of tropicalcyclones on the ocean.

The invention discloses a tropical cyclonic strength forecast information generation method and system, and the method comprises the steps: obtaining to-be-processed data according to different data dimensions, carrying out the preprocessing of the to-be-processed data to obtain initial data, carrying out the prediction of the initial data through a preset forecast model to obtain tropical cyclonic strength forecast information. The initial data comprises a climate duration characteristic factor, an environment characteristic factor and a brainstorm characteristic factor. According to the method, influence factors on the tropical cyclone can be fully utilized, and the tropical cyclone intensity prediction information is predicted in combination with the preset prediction model, so that prediction processing is more intelligent and objective, a tropical cyclone prediction system is perfected, and the prediction accuracy is improved.

The invention discloses a method for calculating an optimal climate mode to simulate tropical cyclone activity performance. The method comprises the following steps: collecting related information, and calculating two-dimensional field distribution of tropical cyclone path density, a path density simulation value, a path type simulation value, a monthly change simulation value, a comprehensive simulation performance value and global comprehensive simulation performance values of a plurality of climate modes; sorting the comprehensive simulation performance values, and finally obtaining an optimal mode for simulating tropical cyclone activity in multiple climate modes. According to the invention, the tropical cyclonic activity simulation capabilities of a plurality of climate modes are quantitatively compared; based on the multi-aspect characteristics of the path and the frequency of the tropical cyclone, the influence of the simulation capability of the mode in different sea areas on the total simulation capability in the global range is combined, and the sorting of quantitative values can be given, so the performance value result is more objective and real, and the advantages anddisadvantages of the weather mode on the tropical cyclone activity simulation performance can be more intuitively expressed.

The invention relates to a method for calculating extreme value wind speed in an ultra-long recurrence period. The invention aims to provide the method for calculating the extreme value wind speed inthe ultra-long recurrence period, so that the calculation result is more stable and reliable. According to the technical scheme, the method for calculating the extreme value wind speed in the ultra-long recurrence period is characterized in that an area within a certain radius range with a calculation point as the circle center serves as a target area; tropical cyclones influencing the target areaare selected, and historical data of the selected tropical cyclones are obtained; the position of the central point of the selected tropical cyclone is found out when the wind speed of the calculation point in the target area is maximum, and the position is called as an original sample point; and the parameters of the tropical cyclone are calculated at the moment, including the central air pressure difference, the cyclone moving speed, the maximum wind speed radius, the minimum distance from the calculation point to the tropical cyclone path and the direction angle. The method is suitable forcalculating the extreme value wind speed of the ultra-long recurrence period in coastal, offshore or offshore areas with large tropical cyclone influence.

A method and device for suppressing the destructive force of a tropical cyclone, wherein the ascendant speed of wind in the eyewall of a cyclone is reduced by sea water pumped on-site from under the sea surface to above the surface, and then dispensed in the wind at the bottom of the cyclone in / near its eyewall.

The invention relates to a stepped frequency microwave radiometer data-based identification system of a tropical cyclone strong wind circle. The identification system comprises the steps of (1) determining stepped frequency microwave radiometer (SFMR) observation tropical cyclone and date; (2) for each observation tropical cyclone and date, sequentially reading optimal path data, reading SFMR data, deleting aircraft taking-off and landing process data, converting the data to a three-dimensional array of time, distance and observation, deleting low-quality data, performing time-space averagingto obtain an air speed changing curve of the tropical cyclone, deleting the low-quality data, identifying a force 7 wind circle and a force 10 wind circle, and identifying maximum air speed radius; and (3) judging whether all tropical cyclones and dates are calculated or not. Observation data of an SFMR is utilized, and the identification system can be effectively applied to tropical cyclone strong wind circle identification by a series of data quality control. Not only is a foundation laid for domestic development of SFMR observation data, but also provides help for understanding of a tropical cyclone structure and disaster early-warning.

A tropical cyclone objective classification method based on characteristic factors comprises the following steps: calculating the physical indicators of tropical cyclones based on the historical data of tropical cyclones, and objectively quantifying tropical cyclones; standardizing the physical indicators of tropical cyclones, and selecting characteristic factors used for representing tropical cyclones through comparison; multiplying each characteristic factor by a weight index to form a clustering data set; and initializing the clustering center, and clustering tropical cyclones based on a clustering algorithm to get a classification result. According to the invention, the physical indicators of tropical cyclones (TCs) are taken as the characteristic factors for representing TCs, so that the characteristic attributes of TCs can be depicted more comprehensively and objectively. TCs are clustered through a clustering algorithm based on the characteristic factors of TCs, the obtained classification result can directly reflect the association and difference between different types of TCs and objectively reflect the characteristic change law of TCs, and thus, a decision support is provided for early warning for TCs and disaster prevention.

The invention discloses a typhoon generation mid-term exhibition early warning information rapid query system, which comprises: an information collection module for reading sea level air pressure field forecast information of future 384 hours given by a GFS developed by the National Environmental Forecasting Center of America every 12 hours; a data processing module for receiving data informationtransmitted by the information collection module, wherein the data processing module performs feature extraction on the received image of the sea level air pressure field forecast information so as toobtain typhoon grade information, a typhoon geographic position and a typhoon near-center air pressure value and perform visual display on the obtained information; and a user service module which isused for receiving typhoon-related information transmitted by the data processing module and carrying out tropical cyclone geographic position search, tropical cyclone strength type prediction and evaluation and tropical low-pressure near-center air pressure value release.