A method, device, medium and product for constructing a middle and upper atmosphere temperature model

Abstract

The present application discloses a method, device, medium and product for constructing a middle and upper atmosphere temperature model, which relates to the field of atmospheric parameter observation. By obtaining satellite observation temperature profiles of the global middle and upper atmosphere in a preset historical period; processing all satellite observation temperature profiles at a preset height resolution, a preset horizontal resolution and a preset time interval to obtain a spatio-temporal grid temperature model; calculating the mean and standard deviation of all temperature data at each height within each spatio-temporal grid point in the spatio-temporal grid temperature model to obtain an initial mean and standard deviation grid temperature model with a preset horizontal resolution; determining initial mean and standard deviation grid temperature models with different horizontal resolutions, and determining a mean and standard deviation grid temperature model with a preset horizontal resolution based on data at grid points without observation data, so as to provide an atmospheric temperature threshold range for the industrial design and flight test of an aircraft. The present application improves the accuracy of determining the middle and upper atmosphere temperature.

Description

Technical Field

[0001] The present application relates to the field of atmospheric parameter observation, and particularly to a method, device, medium and product for constructing a middle and upper atmosphere temperature model. Background Art

[0002] The atmospheric space from the stratosphere to near the mesopause is an important space area for human aerospace activities. The spatial environment in this area is less affected by the underlying surface, and the spatial scale of atmospheric parameter changes is relatively large. At present, the understanding of the environment in this area depends on observations. The horizontal coverage of ground-based radar remote sensing observations is limited, and only a limited area above the station can be observed; the height that a radiosonde balloon can reach in-situ is limited, and the highest can only reach the lower stratosphere (30 km - 40 km); the in-situ detection of a sounding rocket can reach the mesosphere (70 km - 80 km) altitude, but the cost of a single detection is too high, and the number of detections and the horizontal spatial range covered are very small; over the ocean, which occupies a large proportion of the global surface, these observations are extremely rare. Satellite detection can continuously scan the global atmosphere in a cycle, and is an important means to obtain the environmental parameters of the middle and upper atmosphere of the earth at present. Based on satellite observation data, some frontier explorations have been carried out on the atmospheric environment in the stratosphere-mesosphere region in academia. However, these studies mainly discuss the physical and chemical processes occurring in this area, and the research results are difficult to be used in practical applications. In addition, although satellite observation can obtain data globally, the satellite observation points are scattered, the spatial horizontal resolution and time resolution are both low, and there are also instrument observation errors and a large amount of invalid data in satellite data, which cannot be directly put into use.

[0003] At present, the ERA5 reanalysis dataset and the MSIS empirical model can already provide the atmospheric parameter results in the height range from the earth's surface to the mesosphere globally. However, after comparing these results with actual observations, it is found that there are still significant gaps between them and the actual environment. Summary of the Invention

[0004] The purpose of the present application is to provide a method, device, medium and product for constructing a middle and upper atmosphere temperature model to improve the accuracy of determining the middle and upper atmosphere temperature.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] In the first aspect, the present application provides a method for constructing a middle and upper atmosphere temperature model, including:

[0007] Obtaining the satellite observation temperature profiles of the global middle and upper layers in a preset historical period; the temperature profiles include the temperature data of multiple observation points;

[0008] Process all the satellite - observed temperature profiles within a preset height range and a preset time range at a preset height resolution, a preset horizontal resolution, and a preset time interval to obtain a spatio - temporal gridded temperature model;

[0009] Calculate the mean and standard deviation of all temperature data at each height within each spatio - temporal grid point in the spatio - temporal gridded temperature model to obtain an initial mean and standard deviation gridded temperature model with a preset horizontal resolution; the initial mean and standard deviation gridded temperature model with a preset horizontal resolution includes multiple grid points without observed data;

[0010] Determine initial mean and standard deviation gridded temperature models with different horizontal resolutions;

[0011] Based on the data at the grid points without observed data in the initial mean and standard deviation gridded temperature models with different horizontal resolutions, determine a mean and standard deviation gridded temperature model with a preset horizontal resolution to provide an atmospheric temperature threshold range for the industrial design and flight tests of the aircraft; the data includes the mean and the standard deviation.

[0012] Optionally, processing all the satellite - observed temperature profiles within a preset height range and a preset time range at a preset height resolution, a preset horizontal resolution, and a preset time interval to obtain a spatio - temporal gridded temperature model specifically includes:

[0013] Eliminate the invalid data in all the satellite - observed temperature profiles to obtain temperature profiles after eliminating invalid data;

[0014] Within the preset height range, divide all the temperature profiles after eliminating invalid data at a preset height resolution to obtain temperature profiles with a preset height resolution;

[0015] Within the preset time range, perform spatio - temporal grid division on all the temperature profiles with a preset height resolution at a preset horizontal resolution and a preset time interval to obtain a spatio - temporal gridded temperature model.

[0016] Optionally, calculating the mean and standard deviation of all temperature data at each height within each spatio - temporal grid point in the spatio - temporal gridded temperature model to obtain an initial mean and standard deviation gridded temperature model with a preset horizontal resolution specifically includes:

[0017] Calculate the mean and standard deviation of all temperature data at each height within each spatio - temporal grid point in the spatio - temporal gridded temperature model;

[0018] Calculate the difference between all the temperature data and the mean at each height within each spatio - temporal grid point respectively;

[0019] Determine whether the absolute value of the difference is greater than the standard deviation of a preset multiple;

[0020] If so, delete the corresponding temperature data to obtain a spatio-temporal gridded temperature model after data elimination;

[0021] Calculate the mean and standard deviation of all temperature data at each height within each spatio-temporal grid point in the spatio-temporal gridded temperature model after data elimination to obtain an initial mean and standard deviation gridded temperature model with a preset horizontal resolution.

[0022] Optionally, based on the data of the initial mean and standard deviation gridded temperature models with different horizontal resolutions at the grid points without observed data, determine the mean and standard deviation gridded temperature model with a preset horizontal resolution, specifically including:

[0023] Calculate the first mean of the means and the second mean of the standard deviations of all the initial mean and standard deviation gridded temperature models with different horizontal resolutions at the grid points without observed data;

[0024] Use the first mean and the second mean as the mean and standard deviation of the grid points without observed data in the initial mean and standard deviation gridded temperature model with the preset horizontal resolution to obtain the mean and standard deviation gridded temperature model with the preset horizontal resolution.

[0025] Optionally, the longitude intervals and latitude intervals of different horizontal resolutions and the preset horizontal resolution are [2, 2], [2, 4], [2, 6], [2, 10], [4, 4], [4, 6], [4, 10], [4, 16], [6, 6], [6, 10], [6, 16], [6, 20], [5, 30], [10, 10], [10, 16], [10, 20], [10, 30], [10, 40], [10, 60], [15, 15], [16, 20], [16, 30], [16, 40], [15, 60], [15, 90], [20, 20], [20, 30], [20, 40], [20, 60], [20, 90], [30, 40], [30, 60], [30, 90], [30, 120], [60, 60], [60, 90], [60, 120], [90, 90], [90, 120], [90, 180].

[0026] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the middle and upper atmosphere temperature model construction method described in any one of the above.

[0027] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for constructing a middle and upper atmosphere temperature model described in any one of the above is implemented.

[0028] In a fourth aspect, the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, the method for constructing a middle and upper atmosphere temperature model described in any one of the above is implemented.

[0029] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application:

[0030] The present application provides a method, device, medium and product for constructing a middle and upper atmosphere temperature model. By obtaining satellite observation temperature profiles of the global middle and upper atmosphere in a preset historical period; processing all the satellite observation temperature profiles at a preset height resolution, a preset horizontal resolution and a preset time interval to obtain a spatio-temporal grid temperature model; calculating the mean and standard deviation of all temperature data at each height within each spatio-temporal grid point in the spatio-temporal grid temperature model to obtain an initial mean and standard deviation grid temperature model with a preset horizontal resolution; the initial mean and standard deviation grid temperature model with a preset horizontal resolution includes multiple grid points without observation data; determining initial mean and standard deviation grid temperature models with different horizontal resolutions; based on the data at the grid points without observation data in the initial mean and standard deviation grid temperature models with different horizontal resolutions, determining a mean and standard deviation grid temperature model with a preset horizontal resolution, so as to provide an atmospheric temperature threshold range for the industrial design and flight test of an aircraft. The present application improves the accuracy of determining the middle and upper atmosphere temperature. Description of the Drawings

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0032] Figure 1 It is a schematic flowchart of a method for constructing a middle and upper atmosphere temperature model provided by an embodiment of the present application;

[0033] Figure 2 It is a schematic diagram of an average temperature field calculated based on the temperature data observed by TIMED / SABER at an altitude of 30 km from 3:00 to 9:00 on January 1st to January 10th, 2002 - 2020;

[0034] Figure 3Flow chart of the method for constructing the middle and upper atmosphere temperature model of the present application in practical applications;

[0035] Figure 4 For M with a resolution of [2, 2] 1 Schematic diagram of the model result;

[0036] Figure 5 For M with a resolution of [6, 6] 9 Schematic diagram of the model result;

[0037] Figure 6 For M with a resolution of [16, 30] 18 Schematic diagram of the model result;

[0038] Figure 7 For M with a resolution of [30, 90] 25 Schematic diagram of the model result;

[0039] Figure 8 For M with a resolution of [60, 90] 28 Schematic diagram of the model result;

[0040] Figure 9 Schematic diagram of the result of the filled model M';

[0041] Figure 10 Schematic diagram of the result of the M' model after horizontal and vertical smoothing;

[0042] Figure 11 Schematic diagram of the result obtained from ERA5 reanalysis data;

[0043] Figure 12 Schematic diagram of the structure of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0044] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0045] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the accompanying drawings and specific implementation manners.

[0046] In an exemplary embodiment, as Figure 1 shown, a method for constructing a middle and upper atmosphere temperature model is provided, including:

[0047] S1: Obtain the satellite - observed temperature profiles of the global middle and upper layers in a preset historical period; the temperature profiles include temperature data of multiple observation points. In practical applications, collect the temperature data observed by the SABER / TIMED satellite globally from 2002 to 2020.

[0048] S2: Process all the satellite - observed temperature profiles within a preset height range and a preset time range with a preset height resolution, a preset horizontal resolution, and a preset time interval to obtain a spatio - temporal grid - based temperature model.

[0049] As an optional implementation manner, S2 specifically includes:

[0050] S21: Eliminate the invalid data in all the satellite - observed temperature profiles to obtain the temperature profiles after eliminating invalid data.

[0051] Remove the invalid data with a value of - 999.0.

[0052] S22: Divide all the temperature profiles after eliminating invalid data within a preset height range with a preset height resolution to obtain temperature profiles with the preset height resolution. In this embodiment, the preset height resolution is 1 km.

[0053] Adjust the vertical resolution. For each temperature profile, use a 2 - km height window and a 1 - km sliding step to calculate the temperature observation values in the height range of 30 km - 80 km to obtain temperature profiles with a height resolution of 1 km. The calculation process is as follows:

[0054] Calculate the average value of the temperature from 29 km to 31 km as the temperature at 30 km.

[0055] Calculate the average value of the temperature from 30 km to 32 km as the temperature at 31 km. .....。

[0056] Calculate the average value of the temperature from 79 km to 81 km as the temperature at 80 km.

[0057] And so on. The vertical range of each calculation is 2 km.

[0058] S23: Conduct spatio - temporal grid division on all the temperature profiles with the preset height resolution within a preset time range with a preset horizontal resolution and a preset time interval to obtain a spatio - temporal grid - based temperature model. In this embodiment, the preset horizontal resolution is a horizontal resolution of 1°×1°.

[0059] Spatio - temporal grid division. With a horizontal resolution of 1°×1° and a time interval of 6 hours per ten - day period (4 time steps per day), conduct spatio - temporal grid division on all the temperature profiles obtained in S22.

[0060] S3: Calculate the mean and standard deviation of all temperature data at each height within each space-time grid point in the space-time gridded temperature model to obtain a mean and standard deviation gridded temperature initial model of a preset horizontal resolution; the mean and standard deviation gridded temperature initial model of a preset horizontal resolution includes multiple grid points with no observed data.

[0061] As an optional implementation, S3 specifically includes:

[0062] S31: Calculate the mean and standard deviation of all temperature data at each height within each space-time grid point in the space-time grid temperature model.

[0063] At each altitude within each space-time grid point, the mean and standard deviation of all observed data samples are calculated.

[0064] Mean calculation formula:

[0065] Standard deviation calculation formula:

[0066] In the formula, represents the observed mean, S 0 represents the standard deviation. The subscripts λ, φ, h, and t represent the longitude, latitude, altitude, and time range, respectively. i represents the satellite observed temperature data of the i-th observation point, and n represents the number of satellite observation points in the spatiotemporal grid. Grid points without observation data are not calculated.

[0067] S32: Calculate the difference between all the temperature data and the mean value at each height within each space-time grid point.

[0068] S33: Determine whether the absolute value of the difference is greater than a preset multiple of the standard deviation.

[0069] S34: If yes, the corresponding temperature data is deleted to obtain a spatiotemporal gridded temperature model after the data is deleted.

[0070] Eliminate outliers. At each height within each space-time grid point, calculate the difference dO between all observed data samples and the mean λ,φ,h , if |dO λ,φ,h |>3S 0 , then remove the data.

[0071] S35: Calculate the mean and standard deviation of all temperature data at each height in each spatiotemporal grid point in the spatiotemporal gridded temperature model after data removal, and obtain a gridded temperature initial model with a preset horizontal resolution and a mean and standard deviation.

[0072] Recalculate the statistics. Based on the dataset obtained in S34 (the spatio-temporal gridded temperature model after data removal), using the calculation formula in S31, recalculate the mean and standard deviation of all data samples at each height within each grid, and establish a mean and standard deviation gridded model with a horizontal resolution of 1°×1° for 36 pentads globally, with 4 time steps per pentad.

[0073] S4: Determine the initial mean and standard deviation gridded temperature models at different horizontal resolutions.

[0074] Based on the initial mean and standard deviation gridded temperature models at the preset horizontal resolution obtained in S3, calculate the mean and standard deviation models of 32 lower-resolution atmospheric parameters. The 32 combinations of longitude intervals and latitude intervals [dλ, dφ] for the resolution are: [2, 2], [2, 4], [2, 6], [2, 10], [4, 4], [4, 6], [4, 10], [4, 16], [6, 6], [6, 10], [6, 16], [6, 20], [5, 30], [10, 10], [10, 16], [10, 20], [10, 30], [10, 40], [10, 60], [15, 15], [16, 20], [16, 30], [16, 40], [15, 60], [15, 90], [20, 20], [20, 30], [20, 40], [20, 60], [20, 90], [30, 40], [30, 60], [30, 90], [30, 120], [60, 60], [60, 90], [60, 120], [90, 90], [90, 120], [90, 180].

[0075] S5: Based on the data of the initial mean and standard deviation gridded temperature models at different horizontal resolutions at the grid points without observed data, determine the mean and standard deviation gridded temperature model at the preset horizontal resolution to provide an atmospheric temperature threshold range for the industrial design and flight test of the aircraft; the data includes the mean and standard deviation.

[0076] Mean calculation formula for atmospheric parameter models with different resolutions:

[0077] Standard deviation calculation formula for atmospheric parameter models with different resolutions:

[0078] In the formula, and S J represent the model mean and standard deviation of the Jth resolution, J = 1, 2, 3, …, 32, m represents the number of models with model calculation values within the grid points of different resolutions, and S 1jIt represents the mean and standard deviation of the j-th 1°×1° grid point model contained within the model grid at the J-th resolution.

[0079] As an optional implementation, S5 specifically includes:

[0080] S51: Calculate the first mean of the means and the second mean of the standard deviations of the mean values of the initially modeled gridded temperature at all horizontal resolutions at the grid points without observed data.

[0081] S52: Use the first mean and the second mean as the mean and standard deviation of the grid points without observed data in the initially modeled gridded temperature at the preset horizontal resolution, thereby obtaining the initially modeled gridded temperature model at the preset horizontal resolution.

[0082] For the grid points without observed data in the model output by S3, calculate the mean of the means and standard deviations of all the models obtained in S4 at this point as the mean and standard deviation of the grid points without observed data. Thus, the initially modeled gridded temperature model at a global 1°×1° horizontal resolution is calculated. There are a total of 360 (number of longitude degrees) × 181 (number of latitude degrees) = 65,160 grids globally.

[0083] Formula for calculating the mean of the grid points without observed data in the 1°×1° grid point model:

[0084] Formula for calculating the standard deviation of the grid points without observed data in the 1°×1° grid point model:

[0085] In the formula, and S K respectively represent the model mean and standard deviation at the grid points without observed data in the 1°×1° grid point model. l represents the total number of models with model calculation values within grid points of different resolutions, and k represents the ordinal number of such models. and S k represent the model mean and standard deviation at the k-th resolution.

[0086] For the satellite-observed temperature data at 30 km - 80 km for each of the 36 pentads in a year, with 4 time instances for each pentad, calculate the initially modeled gridded mean and standard deviation of the annual atmospheric temperature. The results of this data model can provide atmospheric temperature data for spatio-temporal variations, including diurnal variations, monthly variations, seasonal variations, latitudinal variations, longitudinal variations, and altitude variations. It can provide a spatio-temporally accurate, reliable, and usable atmospheric temperature threshold range for relevant aircraft industrial design and flight tests, etc., thereby improving equipment accuracy, reducing design redundancy, enhancing quality and efficiency, and saving costs.

[0087] Figure 2The calculated multi-year average satellite observation results with a horizontal resolution of 1°×1° are given. It can be seen that the distribution of satellite observation points is very uneven around the world. In high-latitude areas, most areas have no observations. Obviously, such model results are difficult to put into practical engineering applications. A reasonable calculation method is needed to fill in the data in areas without observation points.

[0088] The horizontal variation of atmospheric physical parameters is continuous. Therefore, firstly, based on the existing observation data, the observation data is averaged in different latitude and longitude grids to obtain model data of different horizontal resolutions; then, for each grid without observation data, the mean of the data of all these resolution models at that location is calculated to obtain the model after data filling; finally, the model data is smoothed in the horizontal and vertical directions to obtain the final model data. When calculating these satellite models of different resolutions, grid points without observation data are not calculated. The calculation flow chart is as follows: Figure 3 shown.

[0089] The number of i in S4 and the number of M in each M can be selected according to the actual observation characteristics. i Horizontal resolution of the model. According to the observation point type of TIMED / SABER, after testing, reasonable model results can be obtained when i=32. The 32 combinations of longitude and latitude resolutions [dλ, dφ] are: [2, 2], [2, 4], [2, 6], [2, 10], [4, 4], [4, 6], [4, 10], [4, 16], [6, 6], [6, 10], [6, 16], [6, 20], [5, 30], [10, 10], [10, 16], [10, 20], [10, 30], [10, 40], [10, 60], [15, 15], [16, 20], [16, 30], [16, 40], [15, 60], [15, 90], [20, 20], [20, 30], [20, 40], [20, 60], [20, 90], [30, 40], [30, 60], [30, 90], [30, 120], [60, 60], [60, 90], [60, 120], [90, 90], [90, 120], [90, 180].

[0090] Figures 4 - 8 M is given in turn 1 、M 9 、M 18 、M 25 and M 28The model results corresponding to the resolutions are [2, 2], [6, 6], [16, 30], [30, 90], and [60, 90] respectively. It can be seen from the figure that as the resolution decreases (the increase in the longitude and latitude interval), the model data can gradually fill all regions of the globe, but the accuracy gradually decreases. Calculating the average value of the model data at all resolutions can reduce the error of the grid data and improve the reliability of the data.

[0091] Figure 9 The model data results after filling the multi-resolution model calculation are given.

[0092] The further horizontal and vertical smoothing results of the model M' are as Figure 10 shown.

[0093] In order to conduct a reliability test on the results of M', Figure 11 the ERA5 reanalysis model results in the same time range are given. Comparing Figure 10 and Figure 11 it can be seen that: the change range of M' is 204.5K - 245.9K, and the change range of the ERA5 model is 204.1K - 245.5K. The temperature change ranges of the two model results are very close; the M' model can reflect similar spatial change characteristics as the ERA5 model, such as the extremely low temperature area at high latitudes in the Northern Hemisphere.

[0094] This application conducts the design of a modeling algorithm based on a multi-scale grid for long-term global satellite observation data. Using this method, an atmospheric parameter model with a horizontal resolution of 1°×1° can be calculated within the global height range of (30 - 80) km. The comparison result between the model results and the actual observations shows that the model data can reasonably express the background value of the atmospheric parameters, and the obtained model data results can provide reliable atmospheric environment parameters for industrial design in related fields.

[0095] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 12As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile 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 the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store historical atmospheric temperature data at the middle and high altitudes. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a method for constructing a middle and high altitude atmospheric temperature model.

[0096] Those skilled in the art can understand that Figure 12 the structure shown in the figure is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0097] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0098] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0099] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0100] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0101] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0102] The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., without limitation.

[0103] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0104] Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for constructing a mid- and high-level atmospheric temperature model, characterized in that: include: Obtain the global satellite-observed temperature profiles at mid- and high-levels during a preset historical period; The temperature profile includes temperature data from multiple observation points; Processing all the satellite-observed temperature profiles within a preset altitude range and a preset time range with a preset altitude resolution, a preset horizontal resolution and a preset time interval to obtain a spatiotemporal gridded temperature model; Calculating the mean and standard deviation of all temperature data at each height in each space-time grid point in the space-time grid temperature model to obtain a mean and standard deviation grid temperature initial model of a preset horizontal resolution; the mean and standard deviation grid temperature initial model of a preset horizontal resolution includes a plurality of grid points without observation data; Determine the mean and standard deviation of the gridded temperature initial model at different horizontal resolutions; Determining a mean and standard deviation gridded temperature model of a preset horizontal resolution based on data of the mean and standard deviation gridded temperature initial models at the grid points without observation data, so as to provide an atmospheric temperature threshold range for industrial design and flight test of the aircraft; the data including the mean and standard deviation; The mean calculation formula of atmospheric parameter models with different resolutions is: The standard deviation calculation formula of atmospheric parameter models with different resolutions is: In the formula, and S J represents the model mean and standard deviation of the J-th resolution, J = 1, 2, 3, ..., 32, m represents the number of models with model calculation values ​​in grid points of different resolutions, and S 1j represents the model mean and standard deviation of the j-th 1°×1° grid point contained in the model grid of the J-th resolution; Based on the data of the mean and standard deviation gridded temperature initial models of different horizontal resolutions at the grid points without observation data, determining the mean and standard deviation gridded temperature model of the preset horizontal resolution, specifically including: Calculate a first mean and a second mean of the standard deviation of the mean and standard deviation gridded temperature initial model at all horizontal resolutions at the no-observation data grid points; The first mean and the second mean are used as the mean and standard deviation of the grid points with no observed data in the mean and standard deviation gridded temperature initial model with the preset horizontal resolution to obtain the mean and standard deviation gridded temperature model with the preset horizontal resolution.

2. The method for constructing a mid- and high-level atmospheric temperature model according to claim 1, characterized in that: Within a preset height range and a preset time range, all the satellite-observed temperature profiles are processed with a preset height resolution, a preset horizontal resolution and a preset time interval to obtain a spatiotemporal gridded temperature model, specifically including: Eliminating all invalid data in the satellite-observed temperature profile to obtain a temperature profile after eliminating the invalid data; Within a preset height range, dividing all the temperature profiles after the invalid data are eliminated with a preset height resolution to obtain a temperature profile with a preset height resolution; Within a preset time range, all temperature profiles of the preset height resolution are divided into time-space grids at a preset horizontal resolution and a preset time interval to obtain a time-space gridded temperature model.

3. The method for constructing a middle and upper atmospheric temperature model according to claim 1, characterized in that: Calculating the mean and standard deviation of all temperature data at each height in each spatiotemporal grid point in the spatiotemporal grid temperature model to obtain a mean and standard deviation grid temperature initial model of a preset horizontal resolution, specifically including: Calculating the mean and standard deviation of all temperature data at each height within each spatiotemporal grid point in the spatiotemporal gridded temperature model; Calculate the difference between all the temperature data and the mean value at each height in each space-time grid point; Determine whether the absolute value of the difference is greater than a preset multiple of the standard deviation; If yes, the corresponding temperature data is deleted to obtain a spatiotemporal gridded temperature model after the data is removed; The mean and standard deviation of all temperature data at each height in each spatiotemporal grid point in the spatiotemporal gridded temperature model after data removal are calculated to obtain a gridded temperature initial model with a preset horizontal resolution and a mean and standard deviation.

4. The method for constructing a middle and upper atmospheric temperature model according to claim 1, characterized in that: The longitude and latitude intervals of different horizontal resolutions and the preset horizontal resolution are [2, 2], [2, 4], [2, 6], [2, 10], [4, 4], [4, 6], [4, 10], [4, 16], [6, 6], [6, 10], [6, 16], [6, 20], [5, 30], [10, 10], [10, 16], [10, 20], [10, 30], [10, 40], [10, 60], [15, 1 , [16, 20], [16, 30], [16, 40], [15, 60], [15, 90], [20, 20], [20, 30], [20, 40], [20, 60], [20, 90], [30, 40], [30, 60], [30, 90], [30, 120], [60, 60], [60, 90], [60, 120], [90, 90], [90, 120], [90, 180].

5. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for constructing a middle and upper atmospheric temperature model according to any one of claims 1 to 4.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for constructing a mid- and high-level atmospheric temperature model described in any one of claims 1 to 4 is implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for constructing a mid- and high-level atmospheric temperature model described in any one of claims 1 to 4 is implemented.

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