CN111223153A - Cloud top height calculation method and device, computer equipment and storage medium - Google Patents
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Abstract
The present application relates to the field of computer technologies, and in particular, to a cloud top height calculation method and apparatus, a computer device, and a storage medium. The method comprises the following steps: acquiring meteorological satellite data, and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data; calculating the difference value of the brightness temperature values in the two channels to obtain the brightness temperature difference; and acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, wherein the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to the cloud top height distribution diagram. By adopting the method, the efficiency of calculating the cloud top height can be improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a cloud top height calculation method and apparatus, a computer device, and a storage medium.
Background
The cloud top height is one of cloud physical parameters, represents the maximum height reached by condensation of water vapor in the atmosphere, can influence the balance of ground gas radiation, and has a remarkable adjusting effect on the balance of atmospheric energy balance.
In the traditional technology, satellite data and auxiliary data such as an atmospheric transmittance profile and the like need to be acquired for calculating the cloud top height, but the acquisition of the auxiliary data is difficult, and more variables are introduced in a method for calculating the cloud top height by using the auxiliary data, so that the calculation amount is large and the calculation efficiency is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device and a storage medium capable of improving efficiency of cloud top height calculation.
A cloud top height calculation method comprises the following steps:
acquiring meteorological satellite data, and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data;
calculating the difference value of the brightness temperature values in the two channels to obtain the brightness temperature difference;
and acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, wherein the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to the cloud top height distribution diagram.
In one embodiment, the method for generating the association relationship includes:
acquiring a cloud top height distribution map corresponding to a preset channel in meteorological satellite data;
reading a color value corresponding to a data pair consisting of each bright temperature value and each bright temperature difference from the cloud top height distribution map;
searching the cloud top height corresponding to the color value;
and establishing an association relation among the bright temperature value, the bright temperature difference and the cloud top height.
In one embodiment, before reading the color value corresponding to the data pair consisting of each bright temperature value and each bright temperature difference from the cloud top height distribution map, the method further includes:
reading the corresponding pixel values of the data pairs consisting of the brightness temperature values and the brightness temperature differences from the cloud top height distribution map;
and when the pixel value corresponds to the achromatic value, acquiring a neighborhood pixel value corresponding to an adjacent region of the data pair, and assigning the pixel value of the data pair according to the neighborhood pixel value in the cloud top height distribution map to generate a cloud top height distribution map after reassignment.
In one embodiment, when the pixel value corresponds to an achromatic value, obtaining a neighborhood pixel value corresponding to an adjacent area of the data pair, and assigning, in the cloud-top height distribution map, the pixel value of the data pair according to the neighborhood pixel value, includes:
carrying out image segmentation on the cloud top height distribution map to obtain a colored area and an achromatic area;
when the pixel value corresponding to the data pair in the color area is an achromatic value, acquiring a neighborhood pixel value corresponding to the data pair adjacent area, and when the neighborhood pixel value is a color value, assigning a value to the data pair by using the color value;
and when the pixel value corresponding to the data in the achromatic color area is a black value in the achromatic color, assigning a value to the data pair by using the white value.
In one embodiment, finding the cloud top height corresponding to the color value comprises:
obtaining a color target card;
extracting cloud top height corresponding to the color value from the color target card;
searching a color difference value corresponding to the color value;
and adjusting the searched cloud top height by using the color difference value to obtain the cloud top height corresponding to the color value.
In one embodiment, after the cloud top height corresponding to the bright temperature value and the bright temperature difference at the same time is obtained according to the pre-generated association relationship, the method further includes:
acquiring position information of a target area, and establishing a coordinate system according to the position information;
acquiring cloud top heights corresponding to the coordinate pairs in the coordinate system;
and acquiring a color value corresponding to the cloud top height, and assigning values to each coordinate system by using the color value to generate a cloud top height distribution map of the target area.
In one embodiment, obtaining the cloud top height corresponding to each coordinate pair in the coordinate system includes:
acquiring a brightness temperature value and a brightness temperature difference corresponding to each coordinate pair in a coordinate system;
and searching the cloud top height corresponding to the bright temperature value and the bright temperature difference by using the pre-established association relation.
A cloud top height computing device, the device comprising:
the brightness temperature value extraction module is used for acquiring meteorological satellite data and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data;
the bright temperature difference calculation module is used for calculating the difference value of the bright temperature values in the two channels to obtain a bright temperature difference;
and the cloud top height calculation module is used for acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, and the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to the cloud top height distribution diagram.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The cloud top height calculating method, the cloud top height calculating device, the computer equipment and the storage medium acquire meteorological satellite data, and bright temperature values corresponding to two preset channels are extracted from the meteorological satellite data; calculating the difference value of the brightness temperature values in the two channels to obtain the brightness temperature difference; the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference is obtained according to the pre-generated incidence relation, and the incidence relation is obtained according to the cloud top height distribution diagram, so that the cloud top height can be calculated only by searching the pre-stored incidence relation without consuming a large amount of computer resources, and the cloud top height calculation efficiency is greatly improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary implementation of a cloud top height calculation method;
FIG. 2 is a flow chart illustrating a method for computing a cloud top height according to an embodiment;
FIG. 3 is a flowchart illustrating a method for generating an association relationship according to an embodiment;
FIG. 4 is a schematic flow chart illustrating a method for generating a cloud top height profile in one embodiment;
FIG. 5 is a schematic diagram of a cloud top height distribution map provided in one embodiment;
FIG. 6 is a block diagram of a cloud ceiling height computing device in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The cloud top height calculation method provided by the application can be applied to the application environment shown in fig. 1. Wherein a user terminal 102 communicates with a server 104 over a network. The server 104 acquires meteorological satellite data and extracts brightness temperature values corresponding to two preset channels from the meteorological satellite data; calculating the difference value of the brightness temperature values in the two channels to obtain the brightness temperature difference; the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference is obtained according to a pre-generated incidence relation, the incidence relation is obtained according to a cloud top height distribution diagram, further, the server 104 can push the obtained cloud top height to the user terminal 102, further, the server can also generate a cloud top height distribution diagram according to the obtained multiple cloud top height values, and then the cloud top height distribution diagram is pushed to the user terminal 102.
The user terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a cloud top height calculation method is provided, which is described by taking the method as an example applied to the server 104 in fig. 1, and in other embodiments, the method may also be applied to a terminal, and the method includes the following steps:
and step 210, acquiring meteorological satellite data, and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data.
The meteorological satellite data is data obtained by meteorological observation of the earth and the atmosphere thereof by a satellite, and the meteorological satellite data can contain a plurality of channel data, wherein different channel data correspond to different central wavelengths, for example, 16 channels can be provided in total, wherein the central wavelength corresponding to the 14 th channel is 11.2 μm, and the central wavelength corresponding to the 15 th channel is 12.3 μm. In addition, the weather satellite data may also include a plurality of visible light bands, and data of different visible light bands may be synthesized into a color map, for example, the color map may include 3 visible light bands, a full-color map may be synthesized using 3 visible light bands, and further, the color map may also include 3 near-infrared bands, 10 infrared bands, and the like. The frequency of observation of the satellites may be 1 time every 10 minutes.
The brightness temperature value is a representation of temperature characteristics, and is a comprehensive result of atmospheric temperature characteristics of various levels from the ground to the upper air. Specifically, the server may obtain the brightness temperature value corresponding to the preset channel in the weather satellite data, and in one embodiment, the channel corresponding to the center wavelength of about 11 μm and 12 μm is selected, so that the brightness temperature values corresponding to the 14 th channel (B14) and the 15 th channel (B15) are selected, and in other embodiments, the brightness temperature values corresponding to other channels may also be obtained, which is not limited in this application.
Specifically, the geographic range covered by each channel data in the two channels acquired by the server is the same, such as range data that may be a hemisphere. And then the server calculates the difference value of the obtained brightness temperature values at the corresponding positions in the two channels to obtain the brightness temperature difference corresponding to each position. Further, the server can also perform association binding on the brightness temperature value of the preset channel and the brightness temperature difference obtained by calculating the difference value.
For example, the server can calculate the difference between B14 and B15, obtain the bright temperature difference D of the two channels, and associate and bind B14, B15 and D.
And step 230, acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, wherein the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to the cloud top height distribution diagram.
The cloud top height is one of cloud physical parameters, the maximum height reached by condensation of water vapor in the atmosphere can influence the balance of ground gas radiation, the balance of atmospheric energy balance is obviously adjusted, and meanwhile, the cloud top height and other parameters also have important embodiment in the fields of aerial weather guarantee, numerical weather forecast and the like, so that the determination of the cloud top height and other parameters has important practical significance in the aspects of atmospheric physics and climate research, weather guarantee and the like.
The storage mode of the incidence relation can be a lookup table, and the incidence relation of a bright temperature value, a bright temperature difference and the cloud top height corresponding to a certain channel is stored in the lookup table. The storage format of the association relationship may be a lookup table in an excel format. Specifically, the server reads the obtained lookup table, and obtains the cloud top height corresponding to the bright temperature value and the bright temperature difference from the lookup table.
The cloud top height distribution diagram stores the corresponding relation between the brightness temperature value of a certain channel and the brightness temperature difference, wherein the brightness temperature difference is calculated according to the brightness temperature value of the channel and other channels. The cloud top height corresponding to each brightness temperature value and/or brightness temperature difference can be obtained from the cloud top height distribution diagram, and the method comprises the following steps: and acquiring the cloud top height corresponding to each brightness temperature value from the cloud top height distribution map, or acquiring the cloud top height corresponding to each brightness temperature difference from the cloud top height distribution map, and acquiring the cloud top height corresponding to each data pair consisting of each brightness temperature value and each brightness temperature difference from the cloud top height distribution map.
As shown in fig. 5, a schematic diagram of a cloud top height profile is provided. The cloud top height distribution graph can be arranged in a coordinate system, the abscissa corresponds to the brightness temperature value of a certain channel, the ordinate corresponds to the brightness temperature difference between the brightness temperature value of the channel and the brightness temperature values of other channels, each coordinate pair consisting of the brightness temperature value and the brightness temperature difference in the coordinate system also corresponds to a cloud top height, and the cloud top height corresponding to the pixel value can be obtained by reading the pixel value corresponding to the coordinate pair and searching the relation between the pixel value stored in advance and the cloud top height. Specifically, in the cloud top height distribution diagram, the abscissa is the brightness temperature value corresponding to the 11 μm wavelength channel (the 11 μm wavelength channel corresponds to 14 channels), and the ordinate is the brightness temperature difference, which is the difference between the brightness temperature values of the 11 μm wavelength channel and the 12 μm wavelength channel (the 12 μm wavelength channel corresponds to 15 channels). More specifically, in the cloud top height distribution diagram, the range of the bright temperature value of the abscissa may be 180K to 310K, and the range of the bright temperature difference of the ordinate may be-3K to 8K, so that the abscissa may be divided into 1300 parts, i.e., each part represents 0.1K, and the ordinate may be divided into 110 parts, each part represents 0.01K.
Further, the server performs data processing on the acquired cloud top height distribution map to obtain an association relation. The correlation relationship stores the corresponding relationship between the brightness temperature value and/or the brightness temperature difference and the cloud top height, and at least one of the brightness temperature value or the brightness temperature difference and the cloud top height is stored in the correlation relationship. Specifically, the method can comprise the following steps: the incidence relation stores the corresponding relation between the brightness temperature value and the cloud top height, or the incidence relation stores the corresponding relation between the brightness temperature difference and the cloud top height, or the incidence relation stores the corresponding relation between the brightness temperature value and the brightness temperature difference and the cloud top height. Further, the server may store association relations corresponding to different channels in advance, for example, the association relations between two channels B14 and B15, the association relations between two channels B16 and B17, and the like are stored in advance.
The incidence relation obtained according to the cloud top height distribution diagram is the corresponding relation between the brightness temperature value and the brightness temperature difference of different channel data of the satellite and the cloud top height, namely the corresponding relation between the brightness temperature value and the cloud top height and the corresponding relation between the brightness temperature difference and the cloud top height, and is a lookup table, so that the corresponding cloud top height can be obtained by reading the brightness temperature value and the brightness temperature difference in satellite data and then by looking up the incidence relation in the lookup table.
In this embodiment, the cloud top height can be obtained by directly reading a pre-stored association relation, such as an excel table, for the calculation of the cloud top height, and the efficiency of obtaining the cloud top height is greatly improved.
In one embodiment, as shown in fig. 3, a flow diagram of an association relationship generation method is provided, which includes:
and 310, acquiring a cloud top height distribution map corresponding to a preset channel in the meteorological satellite data.
Specifically, one channel corresponds to one cloud top height distribution map, and the server acquires the cloud top height distribution map corresponding to the channel according to the received channel.
And step 320, reading the color value corresponding to the data pair consisting of each brightness temperature value and the brightness temperature difference from the cloud top height distribution map.
Specifically, the server may read a color value corresponding to the brightness temperature value, or a color value corresponding to the brightness temperature difference, or a color value corresponding to a data pair composed of each brightness temperature value and the brightness temperature difference from the cloud top height distribution map. And after reading the cloud top height distribution map, the server acquires the pixel value, such as the RGB value, of each pixel point in the cloud top height distribution map.
And step 330, searching the cloud top height corresponding to the color value.
The server obtains a pre-stored relation table between the color value and the cloud top height, and searches the cloud top height corresponding to the color value from the relation table. For example, the color value is converted into the cloud top height by the server according to the read color value of each pixel point, for example, the cloud top height with the red color of 16km, the cloud top height with the orange color of 15km and the like.
And 340, establishing an association relation among the bright temperature value, the bright temperature difference and the cloud top height.
And the server establishes an association relation between one of the brightness temperature value or the brightness temperature difference and the cloud top height or an association relation between the brightness temperature value, the brightness temperature difference and the cloud top height according to the acquired brightness temperature value, the brightness temperature difference and the cloud top height.
Specifically, the server outputs the numbers corresponding to the abscissa and the ordinate and the corresponding values of the cloud top height to an excel table to form a lookup table. The calculation of the cloud top height only needs to directly read the prestored excel table.
In this embodiment, the acquired cloud top height distribution maps of different channel data are processed to obtain the incidence relation among the brightness temperature value, the brightness temperature difference and the cloud top height, so that the subsequent cloud top height calculation process only needs to search the pre-stored incidence relation, the cloud top height distribution map does not need to be acquired again, the cloud top height data can be acquired more intuitively and accurately by searching the incidence relation, and the efficiency and the accuracy of the cloud top height calculation are improved.
In one embodiment, considering that some undesirable lines, colors or other information may exist in the acquired cloud top height distribution map, the undesirable data needs to be removed, for example, black lines, such as grid lines, coordinate scale values, dotted lines, solid lines, numbers and the like, acquired from the cloud top height distribution map are removed, so as to ensure that the bright temperature value and the color value corresponding to the bright temperature difference can be accurately acquired from the cloud top height distribution map, and further, the cloud top height data can be accurately acquired according to the color value.
And preprocessing the acquired cloud top height distribution map before reading the corresponding color value of the data pair consisting of each bright temperature value and each bright temperature difference from the cloud top height distribution map. Specifically, the step of pre-treating may comprise: the server reads pixel values corresponding to data pairs consisting of the brightness temperature values and the brightness temperature differences from the cloud top height distribution diagram, wherein the pixel values can be RGB values.
When the pixel value corresponds to an achromatic color value, such as a gray value, the server obtains a neighborhood pixel value corresponding to an adjacent region of the data pair, for example, the neighborhood pixel value may be a pixel value corresponding to a previous pixel point of a current pixel, or an average value of pixel values corresponding to three neighborhood regions, where the three neighborhood regions refer to regions composed of 3 × 3 neighborhood pixels. Or the mean value of pixel values corresponding to pixel points in other neighborhood ranges, etc., which is not limited herein.
In the cloud top height distribution map, the pixel values of the data pairs are assigned according to the neighborhood pixel values, and the cloud top height distribution map after reassignment is generated, so that the assignment of the achromatic pixel values in the cloud top height distribution map is realized, the extraction of the cloud top height information cannot be influenced by the unexpected achromatic values, and the incidence relation of the preprocessed cloud top height distribution map can be obtained.
In this embodiment, the current pixel value is assigned by using the neighborhood pixel value, so that the pixel value of the unexpected pixel point in the cloud top height distribution map is processed, the subsequent accurate data reading from the cloud top height distribution map is facilitated, and the efficiency and the accuracy of data reading are improved.
In one embodiment, when the pixel value corresponds to an achromatic value, obtaining a neighborhood pixel value corresponding to an adjacent area of the data pair, and assigning, in the cloud-top height distribution map, the pixel value of the data pair according to the neighborhood pixel value, includes: and carrying out image segmentation on the cloud top height distribution diagram to obtain a colored area and an achromatic area.
The brightness temperature value data corresponding to the colored area has cloud top height information, and the brightness temperature value data corresponding to the achromatic area does not have cloud top height information. Specifically, the server identifies the pixel value of each pixel point in the acquired cloud top height distribution map to obtain a boundary between a colored region and an achromatic region, and divides the cloud top height distribution map according to the boundary to obtain the colored region and the achromatic region. In other embodiments, the implementation manner of the algorithm for segmenting the cloud top height distribution map by the server is not limited.
And when the pixel value corresponding to the data pair in the color region is an achromatic value, acquiring a neighborhood pixel value corresponding to the data pair in the adjacent region, and when the neighborhood pixel value is the chromatic value, assigning a value to the data pair by using the chromatic value.
Specifically, in the color region, the server identifies achromatic color pixels in the color region, and assigns values by using pixel values corresponding to neighborhood pixels of the achromatic color pixels, specifically, when the pixel values of the neighborhood pixels are chromatic, assigns values by using chromatic values, and re-assigns the achromatic color pixels in the color region, so that the achromatic color pixels in the color region are free of the achromatic color pixels. Specifically, achromatic pixels such as solid lines and dotted lines in the chromatic region are assigned to chromatic RGB values of adjacent pixels.
And when the pixel value corresponding to the data in the achromatic color area is a black value in the achromatic color, assigning a value to the data pair by using the white value. And realizing the white processing of the pixel points in the achromatic region.
In this embodiment, the RGB values of the black lines in the cloud top height distribution map are all assigned to be consistent with the surrounding colors, for example, the scale lines and the grid lines in the achromatic regions are both assigned to be white RGB values, and the scale lines and the grid lines in the chromatic regions are both assigned to be chromatic RGB values.
In one embodiment, the server may further perform a filtering process on the acquired cloud top height distribution map to remove undesired pixel information, for example, remove an undesired small region pixel value in the cloud top height distribution map by using a dilation and erosion algorithm, highlight the pixel value information of the desired region by a sharpening process, and the like, which is not limited herein. Moreover, after the acquired cloud top height distribution map is preprocessed to obtain the incidence relation, the subsequent cloud top height calculation only needs to directly read the incidence relation such as an excel table, and the cloud top height distribution map does not need to be preprocessed again, so that the efficiency of calculating the cloud top height is improved.
In one embodiment, finding the cloud top height corresponding to the color value comprises: and acquiring a color target card, and extracting the cloud top height corresponding to the color value from the color target card.
The color scale card represents a corresponding relationship between the cloud top height and the color value, for example, the cloud top height values corresponding to vertical solid lines of 17, 16, 15 and 14 … … are sequentially marked from left to right, the unit km is obtained, different cloud top heights correspond to a color value respectively, and the color value and the cloud top height are in one-to-one correspondence. Therefore, the server can search the cloud top height corresponding to the color value by using the color code card.
Further, the server searches a color difference value corresponding to the color value in the cloud top height distribution graph.
The color value in the color target card is a discontinuous value, and the discontinuous value is used for representing the possible error of the cloud top height. Therefore, the server is further configured to obtain cloud top height chromatic aberration corresponding to each brightness temperature value, where the chromatic aberration may be a numerical value obtained through experimental statistics. Specifically, the color difference may be marked on the cloud top height distribution map, corresponding to the bright temperature value and the bright temperature difference, for example, the dotted lines marked with 0.5, 1.0, 2.0, etc. may represent the variance on the cloud top height distribution map.
And adjusting the searched cloud top height by using the color difference value to obtain the cloud top height corresponding to the color value.
If the color difference can be added or subtracted on the searched cloud top height value, the cloud top height value is adjusted to obtain the cloud top height corresponding to the color value.
In this embodiment, the cloud top height is adjusted by using the color difference value, and further, the accuracy of acquiring the cloud top height is improved.
In one embodiment, after the cloud top height corresponding to the bright temperature value and the bright temperature difference is obtained according to the pre-generated association relationship, the method further includes: and acquiring the position information of the target area, and establishing a coordinate system according to the position information.
The location information may be longitude and latitude information, and for example, taking the data in the area range of east China as an example, the intercepted longitude and latitude range is as follows: 113E to 124E, and 38N to 24N.
And then, the server pair acquires the cloud top height corresponding to each coordinate pair in the coordinate system.
In one embodiment, obtaining the cloud top height corresponding to each coordinate pair in the coordinate system includes: acquiring a brightness temperature value and a brightness temperature difference corresponding to each coordinate pair in a coordinate system; and searching the cloud top height simultaneously corresponding to the bright temperature value and the bright temperature difference by utilizing the pre-established association relation.
And finally, the server acquires a color value corresponding to the cloud top height, and assigns values to each coordinate system by using the color value to generate a cloud top height distribution map of the target area.
Further, the server can output and display the generated cloud top height distribution map.
In the embodiment, an efficient cloud top height inversion calculation method is provided, the method obtains the corresponding relation between the brightness temperature values or the brightness temperature differences of different channel data and the cloud top height by analyzing and processing the obtained cloud top height distribution map, the established association relation can be a lookup table, so that the read satellite data can be obtained, the cloud top height corresponding to the brightness temperature values and the brightness temperature differences in the satellite data can be obtained by the lookup table, and the method can obtain the corresponding cloud top height only by using the meteorological satellite data, so that the efficiency of cloud top height inversion is greatly improved.
As shown in fig. 4, a flow chart of a cloud top height distribution map generation method is provided, which includes:
and step 410, reading the cloud top height distribution map. Specifically, the server reads a cloud top height distribution map corresponding to the preset channel.
And step 420, processing the read cloud top height distribution map to obtain a lookup table, and outputting the lookup table as an excel file. Specifically, the server removes the undesired data information in the cloud top height distribution map by using an image processing algorithm, and then reads the pixel value of the cloud top height distribution map to obtain a lookup table corresponding to the association relationship, such as a lookup table in an excel format.
And step 440, reading meteorological satellite data and acquiring the brightness temperature value of the required channel.
Specifically, the server acquires meteorological satellite data and reads a brightness temperature value corresponding to a preset channel from the meteorological satellite data.
Specifically, the server obtains brightness temperature values corresponding to two preset channels, and then correspondingly calculates a difference value to obtain a brightness temperature difference.
Specifically, the server searches the cloud top height corresponding to each pixel point in the excel file according to a preset rule, and then the cloud top height corresponding to each pixel point is obtained.
Specifically, the server obtains a cloud top height distribution map according to the cloud top height of each pixel point, and outputs and displays the cloud top height distribution map.
It should be understood that although the various steps in the flow charts of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided a block diagram of a cloud top height computing apparatus, the apparatus comprising:
and the brightness temperature value extraction module 610 is configured to acquire weather satellite data and extract brightness temperature values corresponding to the preset two channels from the weather satellite data.
And the bright temperature difference calculation module 620 is configured to calculate a difference between the bright temperature values in the two channels to obtain a bright temperature difference.
The cloud top height calculating module 630 is configured to obtain a cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated association relationship, where the association relationship is an association relationship between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to the cloud top height distribution map.
In one embodiment, the apparatus further comprises:
and the height map acquisition module is used for acquiring a cloud top height distribution map corresponding to a preset channel in the meteorological satellite data.
And the color value reading module is used for reading the color value corresponding to the data pair consisting of each bright temperature value and each bright temperature difference from the cloud top height distribution map.
And the searching module is used for searching the cloud top height corresponding to the color value.
And the relation establishing module is used for establishing the incidence relation among the bright temperature value, the bright temperature difference and the cloud top height.
In one embodiment, the apparatus further comprises:
and the pixel value reading module is used for reading the pixel value corresponding to the data pair consisting of each brightness temperature value and the brightness temperature difference from the cloud top height distribution map.
And the assignment module is used for acquiring neighborhood pixel values corresponding to adjacent regions of the data pairs when the pixel values correspond to the achromatic values, assigning the pixel values of the data pairs according to the neighborhood pixel values in the cloud top height distribution map, and generating the cloud top height distribution map after reassignment.
In one embodiment, the assignment module includes:
and the segmentation unit is used for carrying out image segmentation on the cloud top height distribution map to obtain a colored area and an achromatic area.
And the color area assignment unit is used for acquiring neighborhood pixel values corresponding to the data pair adjacent areas when the pixel values corresponding to the data pairs in the color areas are achromatic values, and assigning the data pairs by utilizing the color values when the neighborhood pixel values are chromatic values.
And the achromatic region assignment unit is used for assigning values to the data pairs by using the white values when the pixel values corresponding to the data in the achromatic region are black values in an achromatic color.
In one embodiment, the lookup module includes:
and the color target card acquisition unit is used for acquiring the color target card.
And the height reading unit is used for extracting the cloud top height corresponding to the color value from the color target card.
And the color difference value searching unit is used for searching the color difference value corresponding to the color value.
And the adjusting unit is used for adjusting the searched cloud top height by utilizing the color difference value to obtain the cloud top height corresponding to the color value.
In one embodiment, the apparatus further comprises:
and the coordinate system establishing module is used for acquiring the position information of the target area and establishing a coordinate system according to the position information.
And the calibration pair data acquisition module is used for acquiring the cloud top height corresponding to each coordinate pair in the coordinate system.
And the distribution diagram generation module is used for acquiring a color value corresponding to the cloud top height, assigning values to each coordinate system by using the color value and generating a cloud top height distribution diagram of the target area.
In one embodiment, the benchmarking data acquisition module includes:
and the coordinate system data acquisition module is used for acquiring the brightness temperature value and the brightness temperature difference corresponding to each coordinate pair in the coordinate system.
And the searching module is used for searching the bright temperature value and the cloud top height corresponding to the bright temperature difference by utilizing the pre-established association relation.
For specific limitations of the cloud top height calculating device, reference may be made to the above limitations of the cloud top height calculating method, and details are not described here. The modules in the cloud top height calculating device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing weather satellite related data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a cloud top height calculation method.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: a cloud top height calculation method comprises the following steps: acquiring meteorological satellite data, and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data; calculating the difference value of the brightness temperature values in the two channels to obtain the brightness temperature difference; and acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, wherein the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to the cloud top height distribution diagram.
In one embodiment, the processor, when executing the computer program, further performs the steps of the method for generating an association relationship: acquiring a cloud top height distribution map corresponding to a preset channel in meteorological satellite data; reading a color value corresponding to a data pair consisting of each bright temperature value and each bright temperature difference from the cloud top height distribution map; searching the cloud top height corresponding to the color value; and establishing an association relation among the bright temperature value, the bright temperature difference and the cloud top height.
In one embodiment, the processor, when executing the computer program, further performs the step before reading the data pair consisting of each bright temperature value and the bright temperature difference from the cloud top height distribution map, and the corresponding color value: reading the corresponding pixel values of the data pairs consisting of the brightness temperature values and the brightness temperature differences from the cloud top height distribution map; and when the pixel value corresponds to the achromatic value, acquiring a neighborhood pixel value corresponding to an adjacent region of the data pair, and assigning the pixel value of the data pair according to the neighborhood pixel value in the cloud top height distribution map to generate a cloud top height distribution map after reassignment.
In one embodiment, the processor, when executing the computer program, obtains a neighborhood pixel value corresponding to an adjacent area of the data pair when the pixel value corresponds to the achromatic value, and in the cloud top height distribution map, performs the step of assigning the pixel value of the data pair according to the neighborhood pixel value further by: carrying out image segmentation on the cloud top height distribution map to obtain a colored area and an achromatic area; when the pixel value corresponding to the data pair in the color area is an achromatic value, acquiring a neighborhood pixel value corresponding to the data pair adjacent area, and when the neighborhood pixel value is a color value, assigning a value to the data pair by using the color value; and when the pixel value corresponding to the data in the achromatic color area is a black value in the achromatic color, assigning a value to the data pair by using the white value.
In one embodiment, the step of finding the cloud top height corresponding to the color value is further performed when the processor executes the computer program: obtaining a color target card; extracting cloud top height corresponding to the color value from the color target card; searching a color difference value corresponding to the color value; and adjusting the searched cloud top height by using the color difference value to obtain the cloud top height corresponding to the color value.
In one embodiment, the processor, when executing the computer program, is further configured to, after obtaining the cloud top height corresponding to both the bright temperature value and the bright temperature difference according to the pre-generated association relationship: acquiring position information of a target area, and establishing a coordinate system according to the position information; acquiring cloud top heights corresponding to the coordinate pairs in the coordinate system; and acquiring a color value corresponding to the cloud top height, and assigning values to each coordinate system by using the color value to generate a cloud top height distribution map of the target area.
In one embodiment, the processor, when executing the computer program, is further configured to, when obtaining the cloud top height corresponding to each coordinate pair in the coordinate system: acquiring a brightness temperature value and a brightness temperature difference corresponding to each coordinate pair in a coordinate system; and searching the cloud top height corresponding to the bright temperature value and the bright temperature difference by using the pre-established association relation.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which when executed by a processor performs the steps of: a cloud top height calculation method comprises the following steps: acquiring meteorological satellite data, and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data; calculating the difference value of the brightness temperature values in the two channels to obtain the brightness temperature difference; and acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, wherein the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to the cloud top height distribution diagram.
In one embodiment, the computer program when executed by the processor performs the steps of the method for generating an association further: acquiring a cloud top height distribution map corresponding to a preset channel in meteorological satellite data; reading a color value corresponding to a data pair consisting of each bright temperature value and each bright temperature difference from the cloud top height distribution map; searching the cloud top height corresponding to the color value; and establishing an association relation among the bright temperature value, the bright temperature difference and the cloud top height.
In one embodiment, the computer program when executed by the processor further performs the step of reading the color value corresponding to each data pair consisting of the bright temperature value and the bright temperature difference from the cloud top height distribution map, when the computer program is executed by the processor: reading the corresponding pixel values of the data pairs consisting of the brightness temperature values and the brightness temperature differences from the cloud top height distribution map; and when the pixel value corresponds to the achromatic value, acquiring a neighborhood pixel value corresponding to an adjacent region of the data pair, and assigning the pixel value of the data pair according to the neighborhood pixel value in the cloud top height distribution map to generate a cloud top height distribution map after reassignment.
In one embodiment, the computer program when executed by the processor implements the steps of obtaining a neighborhood pixel value corresponding to an adjacent area of the data pair when the pixel value corresponds to an achromatic value, and assigning, in the cloud-top height distribution map, the pixel value of the data pair according to the neighborhood pixel value further: carrying out image segmentation on the cloud top height distribution map to obtain a colored area and an achromatic area; when the pixel value corresponding to the data pair in the color area is an achromatic value, acquiring a neighborhood pixel value corresponding to the data pair adjacent area, and when the neighborhood pixel value is a color value, assigning a value to the data pair by using the color value; and when the pixel value corresponding to the data in the achromatic color area is a black value in the achromatic color, assigning a value to the data pair by using the white value.
In one embodiment, when the computer program is executed by the processor, the step of finding the cloud top height corresponding to the color value is further configured to: obtaining a color target card; extracting cloud top height corresponding to the color value from the color target card; searching a color difference value corresponding to the color value; and adjusting the searched cloud top height by using the color difference value to obtain the cloud top height corresponding to the color value.
In one embodiment, when the computer program is executed by the processor, the step of obtaining the cloud top height corresponding to the bright temperature value and the bright temperature difference at the same time according to the pre-generated association relationship is further configured to: acquiring position information of a target area, and establishing a coordinate system according to the position information; acquiring cloud top heights corresponding to the coordinate pairs in the coordinate system; and acquiring a color value corresponding to the cloud top height, and assigning values to each coordinate system by using the color value to generate a cloud top height distribution map of the target area.
In one embodiment, the computer program when executed by the processor is further configured to, when obtaining the cloud top height corresponding to each coordinate pair in the coordinate system: acquiring a brightness temperature value and a brightness temperature difference corresponding to each coordinate pair in a coordinate system; and searching the cloud top height corresponding to the bright temperature value and the bright temperature difference by using the pre-established association relation.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A cloud top height calculation method, the method comprising:
acquiring meteorological satellite data, and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data;
calculating the difference value of the brightness temperature values in the two channels to obtain the brightness temperature difference;
and acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, wherein the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to a cloud top height distribution diagram.
2. The method according to claim 1, wherein the generating method of the association relationship comprises:
acquiring a cloud top height distribution map corresponding to a preset channel in meteorological satellite data;
reading a color value corresponding to a data pair consisting of each brightness temperature value and the brightness temperature difference from the cloud top height distribution map;
searching the cloud top height corresponding to the color value;
and establishing an association relation among the brightness temperature value, the brightness temperature difference and the cloud top height.
3. The method according to claim 2, wherein before reading the color value corresponding to the data pair consisting of each of the bright temperature values and the bright temperature differences from the cloud top height distribution map, further comprising:
reading the corresponding pixel value of the data pair consisting of each bright temperature value and the bright temperature difference from the cloud top height distribution map;
and when the pixel value corresponds to an achromatic value, acquiring a neighborhood pixel value corresponding to an adjacent region of the data pair, and assigning the pixel value of the data pair according to the neighborhood pixel value in the cloud top height distribution map to generate a cloud top height distribution map after reassignment.
4. The method according to claim 3, wherein the obtaining a neighborhood pixel value corresponding to a neighboring area of the data pair when the pixel value corresponds to an achromatic value, and assigning, in the cloud top height distribution map, the pixel value of the data pair according to the neighborhood pixel value comprises:
carrying out image segmentation on the cloud top height distribution map to obtain a colored area and an achromatic area;
when the pixel value corresponding to the data pair in the color area is an achromatic value, acquiring a neighborhood pixel value corresponding to an adjacent area of the data pair, and when the neighborhood pixel value is a color value, assigning a value to the data pair by using the color value;
and when the pixel value corresponding to the data in the achromatic color area is a black value in the achromatic color, assigning a value to the data pair by using a white value.
5. The method of claim 2, wherein the finding the cloud top height corresponding to the color value comprises:
obtaining a color target card;
extracting the cloud top height corresponding to the color value from the color target card;
searching a color difference value corresponding to the color value;
and adjusting the searched cloud top height by using the color difference value to obtain the cloud top height corresponding to the color value.
6. The method according to claim 1, wherein after obtaining the cloud top height corresponding to the bright temperature value and the bright temperature difference according to the pre-generated correlation, the method further comprises:
acquiring position information of a target area, and establishing a coordinate system according to the position information;
acquiring cloud top heights corresponding to the coordinate pairs in the coordinate system;
and acquiring a color value corresponding to the cloud top height, and assigning values to the coordinate systems by using the color value to generate a cloud top height distribution map of the target area.
7. The method of claim 6, wherein the obtaining a cloud top height corresponding to each coordinate pair in the coordinate system comprises:
obtaining a brightness temperature value and a brightness temperature difference corresponding to each coordinate pair in the coordinate system;
and searching the cloud top height corresponding to the bright temperature value and the bright temperature difference by utilizing a pre-established incidence relation.
8. A cloud top height computing apparatus, the apparatus comprising:
the brightness temperature value extraction module is used for acquiring meteorological satellite data and extracting brightness temperature values corresponding to two preset channels from the meteorological satellite data;
the bright temperature difference calculation module is used for calculating the difference value of the bright temperature values in the two channels to obtain a bright temperature difference;
and the cloud top height calculation module is used for acquiring the cloud top height corresponding to the brightness temperature value and/or the brightness temperature difference according to a pre-generated incidence relation, and the incidence relation is the incidence relation between the brightness temperature value and/or the brightness temperature difference and the cloud top height obtained according to a cloud top height distribution diagram.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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