CN115390160A - Typhoon center automatic positioning method and device - Google Patents
Typhoon center automatic positioning method and device Download PDFInfo
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- CN115390160A CN115390160A CN202210441030.0A CN202210441030A CN115390160A CN 115390160 A CN115390160 A CN 115390160A CN 202210441030 A CN202210441030 A CN 202210441030A CN 115390160 A CN115390160 A CN 115390160A
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Abstract
The application provides a typhoon center automatic positioning method and a device, and the method comprises the following steps: acquiring current typhoon forecasting centers, typhoon forecasting path information and sea surface wind field observation data of the satellite-borne microwave scatterometer; when the sea surface wind field observation data comprises a current forecast typhoon center, extracting current observation time for observing the current forecast typhoon center; obtaining an interpolation forecast typhoon center corresponding to the current observation time through interpolation; carrying out region division on the interpolation forecast typhoon center to obtain a typhoon center positioning region comprising a plurality of grid nodes; in a typhoon center positioning area, positioning grid nodes with simulated wind direction data most similar to observed wind direction data are determined; and determining the positioning grid nodes as positioning typhoon centers, and extracting longitude and latitude information of the positioning typhoon centers. Therefore, the method can automatically position the typhoon center by using the satellite scatterometer based on typhoon priori knowledge, so that the problem that the satellite scatterometer is difficult to position the typhoon center is solved.
Description
Technical Field
The application relates to the technical field of ocean microwave remote sensing, in particular to a typhoon center automatic positioning method and device.
Background
Currently, there are difficulties in locating a typhoon center using a satellite scatterometer. In particular, because satellite scatterometer observations can be affected by rainfall factors, the initial field of scatterometer ambiguity often appears as a sheet-like 180 ° ambiguity during typhoon-accompanied rainfall. Resulting in difficulties in locating the typhoon centre.
Disclosure of Invention
The embodiment of the application aims to provide an automatic typhoon center positioning method and device, which can automatically position a typhoon center by using a satellite scatterometer based on typhoon priori knowledge, so that the problem that the satellite scatterometer is difficult to position the typhoon center is solved.
A first aspect of an embodiment of the present application provides an automatic positioning method for a typhoon center, including:
acquiring information of a current typhoon forecasting center and a typhoon forecasting path issued by a meteorological center; observing sea surface wind field observation data through a satellite scatterometer;
detecting whether the current forecast typhoon center matched with the current forecast typhoon center is included in the sea surface wind field observation data;
when the sea surface wind field observation data comprises the current forecast typhoon center, extracting and detecting the current observation time of the current forecast typhoon center;
interpolating in the forecast typhoon path information to obtain an interpolated forecast typhoon center corresponding to the current observation time;
performing area division based on a preset area division standard and the interpolation forecast typhoon center to obtain a typhoon center positioning area comprising a plurality of grid nodes;
determining a positioning grid node in the typhoon center positioning area; the simulated wind direction data corresponding to the positioning grid nodes are most similar to the observed wind direction data;
and determining the positioning grid nodes as positioning typhoon centers, and extracting longitude and latitude information of the positioning typhoon centers.
Further, the air conditioner is provided with a fan,
the step of determining the positioning grid nodes in the typhoon center positioning area comprises the following steps:
determining a plurality of grid node positions as a plurality of guessed typhoon centers;
performing calculation simulation according to the holland model and each guessed typhoon center to obtain a plurality of groups of simulated wind direction data;
acquiring observation wind direction data in the sea surface wind field observation data;
determining a group of simulated wind direction data which is most similar to the observed wind direction data in the plurality of groups of simulated wind direction data as similar wind direction data;
and determining the grid node corresponding to the similar wind direction data as a positioning grid node corresponding to the interpolation forecast typhoon center.
Further, the determining the simulated wind direction data which is most similar to the observed wind direction data in the plurality of sets of simulated wind direction data as similar wind direction data includes:
calculating according to each group of the simulated wind direction data and the observed wind direction data to obtain a plurality of wind direction difference absolute value mean values;
and extracting a minimum wind direction difference absolute value mean value from the plurality of wind direction difference absolute value mean values, and determining a group of simulated wind direction data corresponding to the minimum wind direction difference absolute value mean value as similar wind direction data.
Further, acquiring information of a current typhoon forecasting center and a typhoon forecasting path issued by a meteorological center; after the step of observing the sea surface wind field observation data by the satellite scatterometer, the method further comprises:
identifying a surrounding area centered at the current forecast typhoon center;
calculating the space coverage rate between the sea surface wind field observation data and the surrounding area;
and when the space coverage rate is more than 50%, determining that typhoon is observed in the sea surface wind field observation data, and triggering and executing the step of detecting whether the current forecast typhoon center matched with the current forecast typhoon center is included in the sea surface wind field observation data.
Further, the method further comprises:
when the current forecast typhoon center is not included in the sea surface wind field observation data, extracting two forecast times close to the current observation time, and extracting two typhoon forecast positions corresponding to the two forecast times;
and interpolating the two typhoon forecast positions to obtain an interpolation forecast typhoon center, and performing area division on the typhoon forecast center based on a preset area division standard to obtain a typhoon center positioning area comprising a plurality of grid nodes.
A second aspect of the embodiments of the present application provides an automatic positioning device for a typhoon center, where the automatic positioning device for a typhoon center includes: the acquiring unit is used for acquiring information of a current typhoon forecasting center and a typhoon forecasting path issued by the meteorological center; observing sea surface wind field observation data through a satellite scatterometer;
the detection unit is used for detecting whether the current forecast typhoon center matched with the current forecast typhoon center is included in the sea surface wind field observation data;
the extraction unit is used for extracting the current observation time when the current forecast typhoon center is detected when the sea surface wind field observation data comprises the current forecast typhoon center;
the interpolation unit is used for carrying out interpolation in the forecast typhoon path information to obtain an interpolation forecast typhoon center corresponding to the current observation time;
the system comprises a dividing unit, a calculating unit and a calculating unit, wherein the dividing unit is used for carrying out region division on the basis of a preset region division standard and the interpolation forecast typhoon center to obtain a typhoon center positioning region comprising a plurality of grid nodes;
the determining unit is used for determining a positioning grid node in the typhoon center positioning area; the simulated wind direction data corresponding to the positioning grid nodes are most similar to the observed wind direction data;
the determining unit is further configured to determine the positioning grid node as a positioning typhoon center, and extract longitude and latitude information of the positioning typhoon center.
Further, the determination unit includes:
the modeling subunit is used for determining the positions of the grid nodes as a plurality of guessed typhoon centers;
the simulation subunit is used for carrying out calculation simulation according to the holland model and each guessed typhoon center to obtain a plurality of groups of simulated wind direction data;
the acquisition subunit is used for acquiring observation wind direction data in the sea surface wind field observation data;
the determining subunit is configured to determine, as similar wind direction data, one group of simulated wind direction data that is most similar to the observed wind direction data among the plurality of groups of simulated wind direction data;
the determining subunit is further configured to determine a grid node corresponding to the similar wind direction data as a positioning grid node corresponding to the interpolation forecast typhoon center.
Further, the determining subunit includes:
the calculation module is used for calculating according to each group of the simulated wind direction data and the observed wind direction data to obtain a plurality of wind direction difference absolute value mean values;
and the determining module is used for extracting a minimum wind direction difference absolute value mean value from the plurality of wind direction difference absolute value mean values and determining a group of simulated wind direction data corresponding to the minimum wind direction difference absolute value mean value as similar wind direction data.
A third aspect of the embodiments of the present application provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for automatically positioning a typhoon center according to any one of the first aspect of the embodiments of the present application.
A fourth aspect of the present embodiment provides a computer-readable storage medium, which stores computer program instructions, where the computer program instructions, when read and executed by a processor, perform the method for automatically positioning a typhoon center according to any one of the first aspect of the present embodiment.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of an automatic typhoon center positioning method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an automatic typhoon center positioning device according to an embodiment of the present application;
fig. 3 is a diagram illustrating an effect of automatic positioning of a typhoon center according to an embodiment of the present application;
fig. 4 is a diagram illustrating an effect of automatically positioning a typhoon center according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of an automatic positioning method for a typhoon center according to the present embodiment. The automatic typhoon center positioning method comprises the following steps:
s101, acquiring current typhoon forecasting center and typhoon forecasting path information issued by a meteorological center; and observing the observation data of the sea surface wind field through a satellite scatterometer.
In this embodiment, the ocean surface wind field is a basic parameter that affects active factors of sea waves, ocean currents and water masses and ocean dynamics, and has important significance in monitoring global ocean wind fields, preventing and reducing disasters in coastal areas, ensuring ocean environment, and promoting ocean related scientific research. The satellite scatterometer has become the most important observation means of the global sea surface wind field due to the characteristics of all-time, all-weather, high space-time resolution, large coverage range and the like. In particular, a satellite scatterometer is a calibrated radar that actively transmits electromagnetic waves to the surface and receives surface-modulated echo signals. The echo signal will be determined by the transmitted signal together with the sea surface characteristics. When the wave length of the sea wave and the wave length of the electromagnetic wave transmitted by the radar meet the Bragg scattering condition, the phase of the backward scattering electromagnetic wave generated by each wave surface is the same, so that resonance is generated, and the echo energy is mainly determined by the electromagnetic wave generating the resonance. At the operating frequency of the microwave scatterometer, the sea surface wave satisfying the bragg resonance condition is a sea surface capillary wave, and the spectral density of the sea surface capillary wave is directly related to the wind speed on the sea surface. Therefore, the echo signal measured by the radar can acquire the information of the sea surface wind field. By processing the radar echo signals, a normalized backscattering coefficient (NRCS, or σ) can be derived that is only related to sea-surface conditions 0 ) σ measured from a scatterometer 0 And (4) a sea surface wind field can be further extracted, and the information extraction process of the sea surface wind field is called wind vector inversion.
In this embodiment, the methodA marine satellite two microwave scatterometer (HY 2-SCAT) may be used. The HY2-SCAT is mainly used for observing the wind field on the global sea surface, the wind speed measuring range is 4-24 m/s, and the wind speed precision is 2m/s or 10%; the wind direction measuring range is 0-360 degrees, and the wind direction precision is +/-20 degrees. The HY2-SCAT working frequency is 13.256GHz, a pencil beam conical scanning mode is adopted, and a certain ground coverage swath is formed in the movement of the satellite platform along the orbit direction by rotating the pencil beam around the sky bottom direction at a fixed elevation angle; the scatterometer system comprises two polarization modes of VV and HH which are observed at different incidence angles respectively, and multiple backscattering coefficients (sigma) of different polarization modes and different incidence angles can be obtained for the same resolution unit in the motion process of the platform 0 ) And measuring results to overcome the multi-value fuzzy problem of sea surface wind field direction inversion. The internal wave beam adopts an HH polarization mode, the incident angle is 41 degrees, and the width of the corresponding ground swath is about 1350km. The external wave beam adopts a VV polarization mode, the incident angle is 48 degrees, and the corresponding ground swath width is about 1700km. The L2B product data file of the marine second satellite scatterometer comprises sea surface wind speed and wind direction obtained through inversion, and information such as time, longitude and latitude corresponding to observation. The data is organized in track units, i.e. the wind vector measurement data for each track constitutes an L2B file. Each data element in the L2B product may be indexed by the row, column number of the wind vector unit. The extending direction of the L2B wind vector unit row is vertical to the lower starline, and the extending direction of the column is consistent with the lower starline direction. The marine satellite scatterometer L2B product is also called L2B product and is used for referring to marine data observed by the marine satellite scatterometer II.
In this embodiment, the method may acquire the current typhoon forecasting center and the typhoon forecasting path information issued by the national weather center at 1h time intervals.
In this embodiment, the method may obtain the sea surface wind field observation data of the scatterometer at L2B level (along the track) within 3h of the current time.
S102, identifying a surrounding area taking the center of the current forecast typhoon as the center.
S103, calculating the space coverage rate between the sea surface wind field observation data and the surrounding area.
S104, when the space coverage rate is larger than 50%, determining that typhoon is observed in the sea surface wind field observation data, detecting whether a current forecast typhoon center matched with the current forecast typhoon center is included in the sea surface wind field observation data, and if so, executing the step S105 and the steps S108-S115; if not, steps S106 to S107 and steps S109 to S115 are executed.
In this embodiment, the method may calculate a spatial coverage of the L2B-level scatterometer wind farm data to a region with a "current forecast typhoon center" position as a center of 300km × 300km, and if the spatial coverage exceeds 50%, consider that the L2B-level scatterometer wind farm data observes typhoon; if the coverage is less than or equal to 50%, the L2B-stage scatterometer wind field data is considered to fail to observe typhoon.
And S105, extracting the current observation time of the current forecast typhoon center.
In this embodiment, the method may extract, from the L2B-level wind farm data product, the observation time of the observation point closest to the "current forecast typhoon center" as the current observation time, when the "current forecast typhoon center" can be observed by the L2B-level wind farm data product.
S106, two forecast times close to the current observation time are extracted, and two typhoon forecast positions corresponding to the two forecast times are extracted.
S107, interpolating the two typhoon forecasting positions to obtain an interpolation forecasting typhoon center.
In this embodiment, the method may determine that no typhoon is observed in the rail data when the L2B-level wind farm data product fails to observe the "currently forecasted typhoon center", and therefore, it is necessary to end the process and directly jump to the next rail data for corresponding processing.
In this embodiment, the time corresponding to the center of the forecasted typhoon is usually 3h time interval or 6h time interval, so that the time is not completely matched with the observation time; therefore, the method matches the time of the forecast result with the observation time by interpolation. In particular, because the typhoon center moves at a high speed, such time interpolation is necessary to avoid introducing a relatively large error.
And S108, interpolating in the typhoon forecasting path information to obtain an interpolation forecasting typhoon center corresponding to the current observation time.
In this embodiment, the typhoon center forecast position corresponding to the "current observation time" is obtained by interpolation through the typhoon path information issued by the national weather center, and is recorded as the interpolation forecast typhoon center.
S109, area division is carried out on the basis of a preset area division standard and an interpolation forecast typhoon center, and a typhoon center positioning area comprising a plurality of grid nodes is obtained.
In this embodiment, the method may select an area of 5 ° × 5 ° from the center of the interpolation prediction typhoon, and divide the area into a plurality of grids of 1/8 ° × 1/8 °. All the grids form a typhoon center positioning area.
And S110, determining the positions of the grid nodes as a plurality of guessed typhoon centers.
And S111, performing calculation simulation according to the holland model and each guessed typhoon center to obtain multiple groups of simulated wind direction data.
In this embodiment, the Holland typhoon model is a typhoon model proposed in 1980 by Holland teaching, and is used for describing a two-dimensional wind field structure for mature development of typhoon. The model is successfully applied to constructing a high wind model of an altimeter and a scatterometer, which shows that a typhoon field described by the model has high precision and can meet the requirement of simulation analysis on the typical characteristics of sea surface backscattering coefficients under the typhoon condition.
In Holland's typhoon model, the gradient wind can be represented by equation 1:
wherein U is g Gradient wind at r from the center of the typhoon, ρ is air density, p0 is central air pressure, p n The atmospheric pressure (ambient pressure) is far from the center of the typhoon, and f is the Coriolis force. The parameters A and B can be respectively obtained by the following formulas 2 and 3:
B＝1.5+(980-p 0 ) /120 (formula 3)
Wherein R is max In units of km, p 0 The unit is mb.
Specifically, the holland typhoon model can calculate a typhoon vector from the gradient wind. Assuming that the typhoon internal flow angle is 25 degrees, to obtain the average wind vector of 10 meters at sea surface and 1 minute, a factor of 0.8 needs to be multiplied on the basis of gradient wind. Due to the movement of the typhoon center, the typhoon wind field is not a symmetrical structure, and in order to account for the influence of the typhoon moving speed, the typhoon moving speed needs to be superposed on a wind vector obtained through model calculation. The invention adopts a relatively simple processing method, namely, the typhoon moving speed is directly and linearly superposed on the model wind vector. The input parameters in the model include typhoon center position, center air pressure, maximum wind ring radius and typhoon moving speed.
The typhoon central air pressure and typhoon moving speed can be inquired through a weather bureau website; when the typhoon central air pressure and the typhoon moving speed cannot be obtained, the default value ρ =1.15 × 10 is taken -2 ，p n ＝1000mb，p 0 =920mb; the typhoon moving speed is determined by the current typhoon historical moving speed; if the historical movement speed of the typhoon cannot be acquired, the movement speed of the typhoon is set to be 0;
calculation of the Coriolis force:
f＝2*(2*pi/86400)*sin(17.1*2*pi/360)*1000；％coriolis parameter。
and S112, acquiring observation wind direction data in the sea surface wind field observation data.
And S113, determining a group of simulated wind direction data which is most similar to the observed wind direction data in the plurality of groups of simulated wind direction data as similar wind direction data.
As an alternative embodiment, determining the simulated wind direction data that is most similar to the observed wind direction data in the plurality of sets of simulated wind direction data as similar wind direction data includes:
calculating according to each group of simulated wind direction data and observed wind direction data to obtain a plurality of wind direction difference absolute value mean values;
and extracting a minimum wind direction difference absolute value mean value from the plurality of wind direction difference absolute value mean values, and determining a group of simulated wind direction data corresponding to the minimum wind direction difference absolute value mean value as similar wind direction data.
And S114, determining grid nodes corresponding to the similar wind direction data as positioning grid nodes corresponding to the interpolation forecast typhoon center.
And S115, determining the positioning grid node as a positioning typhoon center, and extracting longitude and latitude information of the positioning typhoon center.
In this embodiment, the method may use the position of each grid node as a guess of the typhoon center, combine with the holland typhoon model, simulate and interpolate typhoon wind field information around the typhoon center, compare with the scatterometer observation result, calculate the absolute value of the difference between the typhoon wind direction obtained by simulation and the scatterometer observation wind direction, sum the absolute values, and take the mean value, and record as the wind direction difference absolute value mean value. Then, comparing the wind direction difference absolute value mean value corresponding to each grid node, and taking the position of the grid node with the smallest wind direction difference absolute value mean value as the final typhoon center positioning position (namely, positioning typhoon center).
In the embodiment, the method can obtain approximate position information of the typhoon center corresponding to the observation time of the current scatterometer by interpolation through typhoon path forecast information issued by a national weather center, each point is selected as a guessing point of the typhoon center within a 5-degree and 5-degree space range near the center position according to the resolution of 0.125-degree and 0.125-degree, the typhoon direction taking the guessing point as the center is calculated through a Holland typhoon model, and is compared with the typhoon direction of the scatterometer; and comparing the comparison results corresponding to the guess points, and taking the guess point closest to the observation result of the scatterometer as a final typhoon center positioning result.
Referring to fig. 3 and 4, fig. 3 and 4 show two diagrams illustrating the effect of automatic typhoon center positioning. The "+" in the figure represents the center position of the automatically positioned typhoon, and as can be seen from the figure, even if the center of the typhoon is influenced by the land and a valid observation result cannot be obtained, the center position of the typhoon can be obtained by the method.
In this embodiment, the execution subject of the method may be a computing device such as a computer and a server, and is not limited in this embodiment.
It is to be understood that the method takes the automatic positioning of the center of the typhoon observed by the HY-2 satellite microwave scatterometer as an example, and provides the automatic positioning method of the typhoon center based on the typhoon priori knowledge, aiming at the defects that the traditional automatic positioning method of the typhoon center is not efficient in algorithm, cannot be suitable for complex situations such as being influenced by land, only observing partial wind fields of the typhoon and the like, is limited by the influence of the observation resolution of the scatterometer, and the like. The method can be used for wind field inversion development of the HY-2 satellite scatterometer and can also be applied to the typhoon center positioning process of other satellite scatterometers, so that the method has universality.
It can be seen that, by implementing the method for automatically positioning a typhoon center described in this embodiment, the typhoon center can be automatically positioned when the observation result is affected by the land or only a part of the observation result is observed (especially, the typhoon center is not observed); meanwhile, the method can break through the observation resolution limit of the scatterometer and realize the effect of super-resolution typhoon center identification; in addition, the method can also avoid subjective errors caused by manual interpretation and reduce the workload of corresponding staff on duty; finally, the method can realize the optimization of the typhoon wind direction only by the data of the satellite scatterometer, and other auxiliary data are not needed.
Example 2
Referring to fig. 2, fig. 2 is a schematic structural diagram of an automatic positioning device for a typhoon center provided in this embodiment. As shown in fig. 2, the typhoon center automatic positioning device includes:
the acquiring unit 210 is configured to acquire information of a current typhoon forecasting center and a typhoon forecasting path issued by a weather center; observing sea surface wind field observation data through a satellite scatterometer;
the detecting unit 220 is configured to detect whether a current forecasted typhoon center matched with the current forecasted typhoon center is included in the sea surface wind field observation data;
an extracting unit 230, configured to extract, when the current forecasted typhoon center is included in the sea surface wind field observation data, a current observation time at which the current forecasted typhoon center is detected;
an interpolation unit 240, configured to perform interpolation in the forecast typhoon path information to obtain an interpolation forecast typhoon center corresponding to the current observation time;
the dividing unit 250 is configured to perform region division based on a preset region division standard and an interpolation forecast typhoon center to obtain a typhoon center positioning region including a plurality of grid nodes;
a determining unit 260, configured to determine a positioning grid node in the typhoon center positioning area; the simulated wind direction data corresponding to the positioning grid nodes are most similar to the observed wind direction data;
the determining unit 260 is further configured to determine the positioning grid node as a positioning typhoon center, and extract longitude and latitude information of the positioning typhoon center.
As an alternative embodiment, the determining unit 260 includes:
a modeling subunit 261 for determining a plurality of grid node positions as a plurality of guessed typhoon centers;
the simulation subunit 262 is configured to perform calculation simulation according to the holland model and each guessed typhoon center to obtain multiple sets of simulated wind direction data;
the obtaining subunit 263 is configured to obtain observation wind direction data in the sea surface wind field observation data;
a determining subunit 264, configured to determine a group of simulated wind direction data that is most similar to the observed wind direction data among the plurality of groups of simulated wind direction data as similar wind direction data;
the determining subunit 264 is further configured to determine the grid node corresponding to the similar wind direction data as the positioning grid node corresponding to the interpolation forecast typhoon center.
As an alternative embodiment, the determining subunit 264 includes:
the calculation module is used for calculating according to each group of simulated wind direction data and observed wind direction data to obtain a plurality of wind direction difference absolute value mean values;
and the determining module is used for extracting a minimum wind direction difference absolute value mean value from the plurality of wind direction difference absolute value mean values and determining a group of simulated wind direction data corresponding to the minimum wind direction difference absolute value mean value as similar wind direction data.
As an optional implementation manner, the typhoon center automatic positioning device further comprises:
an identifying unit 270 configured to identify a surrounding area centered on a center of a currently forecasted typhoon;
the calculating unit 280 is used for calculating the space coverage rate between the sea surface wind field observation data and the surrounding area;
the determining unit 260 is further configured to determine that typhoon is observed in the ocean surface wind field observation data when the spatial coverage is greater than 50%, and trigger the detecting unit 220 to perform an operation of detecting whether a current forecasted typhoon center matched with the current forecasted typhoon center is included in the ocean surface wind field observation data.
As an optional implementation manner, the extracting unit 230 is further configured to, when the current forecast typhoon center is not included in the sea surface wind field observation data, extract two forecast times close to the current observation time, and extract two typhoon forecast positions corresponding to the two forecast times; and interpolating the two typhoon forecast positions to obtain an interpolation forecast typhoon center, and performing area division based on a preset area division standard and the interpolation forecast typhoon center to obtain a typhoon center positioning area comprising a plurality of grid nodes.
In the embodiment of the present application, for the explanation of the automatic positioning device for a typhoon center, reference may be made to the description in embodiment 1, and details are not repeated in this embodiment.
It can be seen that, by implementing the automatic typhoon center positioning device described in this embodiment, the automatic positioning of the typhoon center can be realized under the condition that the observation result is affected by the land or only part of the observation result is observed (especially, the typhoon center is not observed); meanwhile, the method can break through the limitation of observation resolution of the scatterometer and realize the effect of super-resolution typhoon center identification; in addition, the method can also avoid subjective errors caused by manual interpretation and reduce the workload of corresponding on-duty workers; finally, the method can realize the optimization of the typhoon wind direction only by the data of the satellite scatterometer, and other auxiliary data are not needed.
The embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for automatically positioning a typhoon center in embodiment 1 of the present application.
The embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions, and when the computer program instructions are read and executed by a processor, the method for automatically positioning a typhoon center in embodiment 1 of the present application is executed.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. An automatic typhoon center positioning method is characterized by comprising the following steps:
acquiring current typhoon forecasting center and typhoon forecasting path information issued by a meteorological center; observing sea surface wind field observation data through a satellite scatterometer;
detecting whether the current forecast typhoon center matched with the current forecast typhoon center is included in the sea surface wind field observation data;
when the sea surface wind field observation data comprises the current forecast typhoon center, extracting and detecting the current observation time of the current forecast typhoon center;
interpolating in the forecast typhoon path information to obtain an interpolated forecast typhoon center corresponding to the current observation time;
performing area division based on a preset area division standard and the interpolation forecast typhoon center to obtain a typhoon center positioning area comprising a plurality of grid nodes;
determining a positioning grid node in the typhoon center positioning area; the simulated wind direction data corresponding to the positioning grid nodes are most similar to the observed wind direction data;
and determining the positioning grid nodes as positioning typhoon centers, and extracting longitude and latitude information of the positioning typhoon centers.
2. The method of claim 1, wherein the step of determining a positioning grid node in the typhoon center positioning area comprises:
determining a plurality of grid node positions as a plurality of guessed typhoon centers;
performing calculation simulation according to the holland model and each guessed typhoon center to obtain a plurality of groups of simulated wind direction data;
acquiring observation wind direction data in the sea surface wind field observation data;
determining a group of simulated wind direction data which is most similar to the observed wind direction data in the plurality of groups of simulated wind direction data as similar wind direction data;
and determining the grid node corresponding to the similar wind direction data as a positioning grid node corresponding to the interpolation forecast typhoon center.
3. The method according to claim 2, wherein the determining a group of simulated wind direction data, which is most similar to the observed wind direction data, of the plurality of groups of simulated wind direction data as similar wind direction data comprises:
calculating according to each group of the simulated wind direction data and the observed wind direction data to obtain a plurality of wind direction difference absolute value mean values;
and extracting a minimum wind direction difference absolute value mean value from the plurality of wind direction difference absolute value mean values, and determining a group of simulated wind direction data corresponding to the minimum wind direction difference absolute value mean value as similar wind direction data.
4. The method for automatically positioning a typhoon center according to claim 1, wherein the current forecast typhoon center and the forecast typhoon path information issued by a weather center are acquired; after the step of observing the sea surface wind field observation data by the satellite scatterometer, the method further comprises:
identifying a surrounding area centered at the current forecast typhoon center;
calculating the space coverage rate between the sea surface wind field observation data and the surrounding area;
and when the space coverage rate is more than 50%, determining that typhoon is observed in the sea surface wind field observation data, and triggering and executing the step of detecting whether a current forecast typhoon center matched with the current forecast typhoon center is included in the sea surface wind field observation data.
5. The method of claim 1, further comprising:
when the current forecast typhoon center is not included in the sea surface wind field observation data, extracting two forecast times close to the current observation time, and extracting two typhoon forecast positions corresponding to the two forecast times;
and interpolating the two typhoon forecast positions to obtain an interpolated forecast typhoon center, and performing area division on the basis of a preset area division standard and the interpolated forecast typhoon center to obtain a typhoon center positioning area comprising a plurality of grid nodes.
6. The utility model provides a typhoon center automatic positioning device which characterized in that, typhoon center automatic positioning device includes:
the system comprises an acquisition unit, a weather center and a weather center, wherein the acquisition unit is used for acquiring information of a current typhoon forecasting center and a typhoon forecasting path issued by the weather center; observing sea surface wind field observation data through a satellite scatterometer;
the detection unit is used for detecting whether the current forecast typhoon center matched with the current forecast typhoon center is included in the sea surface wind field observation data;
the extraction unit is used for extracting the current observation time when the current typhoon forecasting center is detected when the sea surface wind field observation data comprises the current typhoon forecasting center;
the interpolation unit is used for carrying out interpolation in the forecast typhoon path information to obtain an interpolation forecast typhoon center corresponding to the current observation time;
the system comprises a dividing unit, a calculating unit and a calculating unit, wherein the dividing unit is used for carrying out region division on the basis of a preset region division standard and the interpolation forecast typhoon center to obtain a typhoon center positioning region comprising a plurality of grid nodes;
the determining unit is used for determining positioning grid nodes in the typhoon center positioning area; the simulated wind direction data corresponding to the positioning grid nodes are most similar to the observed wind direction data;
the determining unit is further configured to determine the positioning grid node as a positioning typhoon center, and extract longitude and latitude information of the positioning typhoon center.
7. The automatic typhoon center positioning device according to claim 6, wherein the determining unit comprises:
the modeling subunit is used for determining the positions of the grid nodes as a plurality of guessed typhoon centers;
the simulation subunit is used for carrying out calculation simulation according to the holland model and each guessed typhoon center to obtain a plurality of groups of simulated wind direction data;
the acquisition subunit is used for acquiring observation wind direction data in the sea surface wind field observation data;
the determining subunit is used for determining one group of simulated wind direction data which is most similar to the observed wind direction data in the plurality of groups of simulated wind direction data as similar wind direction data;
the determining subunit is further configured to determine a grid node corresponding to the similar wind direction data as a positioning grid node corresponding to the interpolation forecast typhoon center.
8. The automatic typhoon center positioning device according to claim 7, characterized in that the determining subunit comprises:
the calculation module is used for calculating according to each group of the simulated wind direction data and the observed wind direction data to obtain a plurality of wind direction difference absolute value mean values;
and the determining module is used for extracting a minimum wind direction difference absolute value mean value from the plurality of wind direction difference absolute value mean values and determining a group of simulated wind direction data corresponding to the minimum wind direction difference absolute value mean value as similar wind direction data.
9. An electronic device, characterized in that the electronic device comprises a memory for storing a computer program and a processor for executing the computer program to cause the electronic device to perform the typhoon center automatic positioning method of any one of claims 1 to 5.
10. A readable storage medium, wherein computer program instructions are stored in the readable storage medium, and when read and executed by a processor, the computer program instructions perform the typhoon center automatic positioning method as claimed in any one of claims 1 to 5.
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| CN202210441030.0A CN115390160A (en) | 2022-04-25 | 2022-04-25 | Typhoon center automatic positioning method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116224469A (en) * | 2023-05-09 | 2023-06-06 | 国家卫星气象中心(国家空间天气监测预警中心) | Observation system for satellite with rapid imager |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116224469A (en) * | 2023-05-09 | 2023-06-06 | 国家卫星气象中心(国家空间天气监测预警中心) | Observation system for satellite with rapid imager |
| CN116224469B (en) * | 2023-05-09 | 2024-03-15 | 国家卫星气象中心(国家空间天气监测预警中心) | Typhoon observation system for satellite with fast imager |
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