A virtual potential temperature determination method, device and equipment based on a wind measurement radar and a storage medium

Abstract

The application provides a virtual potential temperature determination method and device based on a wind radar, a device, equipment and a storage medium. A ground temperature value is obtained, wind speed data including wind speeds corresponding to a plurality of heights is obtained through the wind radar, a shear production term, a buoyancy production term and a change rate parameter of the wind speed in the height direction of each height are determined according to the wind speed data, the shear production term, the buoyancy production term and the change rate parameter of each height are integrated in a height range from the ground to a specified height, an integral result is determined, the virtual potential temperature corresponding to the specified height is determined according to the ground temperature value and the integral result, and therefore, a single ground temperature value can be obtained by using a conventional temperature measuring device, without the need of a special temperature measuring device to measure multi-point data, so that the cost and the data processing amount are reduced. The virtual potential temperature is determined by the specified height and the integral mode, which is more flexible and has higher applicability.

Description

Technical Field

[0001] This application relates to the field of meteorology, and in particular to a method, apparatus, equipment and storage medium for determining virtual potential temperature based on wind-measuring radar. Background Technology

[0002] Vertical thermal profiles of the atmospheric boundary layer are crucial data for characterizing atmospheric thermal stability and identifying inversion and mixing layer structures. They play a vital supporting role in turbulence evolution, pollutant diffusion, low-altitude flight meteorological support, and numerical model parameter optimization. Currently, virtual potential temperature, as a core parameter of atmospheric thermal state, is primarily determined by measuring multi-point temperature data at multiple altitudes using dedicated vertical thermometry equipment such as radiosondes, microwave radiometers, or Raman lidar. However, radiosondes are only deployed at fixed times each day, resulting in low temporal resolution and an inability to capture short-term, rapid boundary layer evolution. Microwave radiometers and Raman lidars are expensive, complex to maintain, and lack sufficient stability in cloudy, rainy, and aerosol environments, making high-density deployment difficult. Summary of the Invention

[0003] This application provides a method, apparatus, device, and storage medium for determining virtual potential temperature based on wind radar, to solve at least one problem existing in related technologies. The technical solution is as follows: In a first aspect, embodiments of this application provide a method for determining virtual potential temperature based on wind-measuring radar, including: The surface temperature value is obtained and the wind speed data is obtained through a wind-measuring radar, wherein the wind speed data includes wind speeds corresponding to several altitudes. Based on the wind speed data, determine the shear generation term, buoyancy generation term, and wind speed change rate parameter in the height direction for each height. Within the height range from the ground surface to a specified height, the shear generation term, the buoyancy generation term, and the rate of change parameter at each specified height are integrated to determine the integration result; Based on the surface temperature value and the integration result, determine the virtual potential temperature corresponding to the specified altitude; The rate of change parameter includes a first wind speed rate of change and a second wind speed rate of change. Based on the wind speed data, the rate of change parameter of wind speed at each height in the height direction is determined as follows: The first rate of change of wind speed in the height direction at each height is determined by differentiating the first wind speed component on the horizontal axis with respect to the corresponding height. The second wind speed variation rate in the height direction of each height is determined by differentiating the second wind speed component on the vertical axis with respect to the corresponding height.

[0004] In one embodiment, determining the integration result by integrating the shear generation term, the buoyancy generation term, and the rate of change parameter at each height from the ground surface to a specified height includes: The thermodynamic coefficients for each height are determined based on the shear generation term and the buoyancy generation term for each height, respectively. The wind shear coefficient for each of the heights is determined based on the first wind speed change rate and the second wind speed change rate for each height. The integral function value for each height is determined by the product of the reciprocal of the gravitational acceleration, the thermodynamic coefficient, and the first product of the wind shear coefficient. Within the height range from the ground surface to a specified altitude, the integral is performed based on the function values ​​to be integrated at each specified altitude to obtain the integral result.

[0005] In one embodiment, determining the thermodynamic coefficients for each of the respective heights based on the shear generation term and the buoyancy generation term includes: Determine the ratio of the buoyancy-generating term to the shear-generating term at each of the stated heights; The thermodynamic coefficients for each of the heights are obtained by taking the opposite of the ratios for each height.

[0006] In one embodiment, determining the wind shear coefficient for each of the respective altitudes based on the first wind speed change rate and the second wind speed change rate includes: Determine the square of the first wind speed change rate and the square of the second wind speed change rate at each of the stated heights; The wind shear coefficients at each of the stated heights are obtained by summing the squares of the first wind speed change rate and the squares of the second wind speed change rate.

[0007] In one embodiment, determining the virtual potential temperature corresponding to the specified altitude based on the surface temperature value and the integration result includes: The exponential result is determined based on the exponential function and the integral result. The virtual potential temperature corresponding to the specified altitude is determined by the second product of the surface temperature value and the index result.

[0008] Secondly, embodiments of this application provide a device for determining virtual potential temperature based on wind-measuring radar, comprising: The acquisition module is used to acquire surface temperature values ​​and wind speed data through a wind-measuring radar, wherein the wind speed data includes wind speeds corresponding to several altitudes. The first determining module is used to determine the shear generation term, buoyancy generation term, and wind speed change rate parameter in the height direction for each height based on the wind speed data. An integration module is used to integrate the shear generation term, the buoyancy generation term, and the rate of change parameter at each height from the ground surface to a specified height, and determine the integration result. The second determining module is used to determine the virtual potential temperature corresponding to the specified height based on the surface temperature value and the integration result; The rate of change parameter includes a first wind speed rate of change and a second wind speed rate of change. Based on the wind speed data, the rate of change parameter of wind speed at each height in the height direction is determined as follows: The first rate of change of wind speed in the height direction at each height is determined by differentiating the first wind speed component on the horizontal axis with respect to the corresponding height. The second wind speed variation rate in the height direction of each height is determined by differentiating the second wind speed component on the vertical axis with respect to the corresponding height.

[0009] In one embodiment, the integration module includes: The first unit is used to determine the thermodynamic coefficient of each height based on the shear generation term and the buoyancy generation term of each height, respectively. The second unit is used to determine the wind shear coefficient for each of the heights based on the first wind speed change rate and the second wind speed change rate for each height. The third unit is used to determine the integral function value for each of the heights based on the reciprocal of the gravitational acceleration, the thermodynamic coefficient, and the first product of the wind shear coefficient. The fourth unit is used to integrate the integral of the function values ​​at each specified height within the height range from the ground surface to a specified height, and obtain the integration result.

[0010] Thirdly, embodiments of this application provide an electronic device, including: a processor and a memory, wherein the memory stores instructions that are loaded and executed by the processor to implement the methods in any of the above-described embodiments.

[0011] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed, implements the methods in any of the above-described embodiments.

[0012] The beneficial effects of the above technical solution include at least the following: By acquiring surface temperature values ​​and wind speed data corresponding to several heights using wind radar, the shear generation term, buoyancy generation term, and rate of change of wind speed along the vertical direction are determined at each height based on the wind speed data. Within the height range from the surface to a specified height, the shear generation term, buoyancy generation term, and rate of change parameters at each height are integrated to determine the integration result. Based on the surface temperature value and the integration result, the virtual potential temperature corresponding to the specified height is determined. Only a single surface temperature value is needed, so conventional temperature measurement equipment can be used without dedicated vertical temperature measurement equipment to measure multiple points, reducing costs and data processing volume. There is no spatiotemporal mismatch problem of wind and heat data caused by inconsistent observation space and sampling time in the combination of multiple dedicated equipment, ensuring the accuracy of virtual potential temperature. Determining virtual potential temperature by specifying height and integration method is more flexible and has wider applicability.

[0013] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, these aspects, embodiments, and features will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0014] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in this application and should not be construed as limiting the scope of this application.

[0015] Figure 1 This is a schematic flowchart illustrating the steps of a method for determining virtual potential temperature based on wind-measuring radar according to an embodiment of this application; Figure 2 A schematic diagram comparing the virtual temperature profile of radiosonde with the virtual temperature profile of the embodiment of this application; Figure 3 This is a structural block diagram of a virtual potential temperature determination device based on wind-measuring radar according to an embodiment of this application; Figure 4 This is a structural block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0016] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of this application. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0017] In related technologies, two dedicated devices—a temperature measuring device and a wind measuring device—are used to acquire temperature and wind data from several locations. However, these two devices are usually deployed separately, resulting in inconsistencies in time and space. This misalignment between the observation space and sampling time can easily lead to spatiotemporal misalignment of dynamic and thermal field data, hindering the analysis of boundary layer dynamic-thermal coupling mechanisms. In contrast, the proposed solution only requires a wind-measuring radar combined with a single (or single-point) surface temperature value. This eliminates the problem of inconsistencies between the observation space and sampling time, making it more conducive to the analysis of boundary layer dynamic-thermal coupling mechanisms and ensuring the accuracy of the virtual potential temperature.

[0018] Reference Figure 1 The flowchart illustrates a method for determining virtual potential temperature based on wind-measuring radar according to an embodiment of this application. This method may include at least steps S100-S400: S100 acquires surface temperature values ​​and wind speed data via wind-measuring radar.

[0019] In this embodiment, the surface temperature value is a single-point temperature value at the surface (height 0). Therefore, no dedicated vertical temperature measurement equipment is required. Conventional temperature measurement equipment such as thermometers and surface temperature sensors / probes are used, with integrated simple signal conditioning circuitry. Based on low cost and miniaturization, the surface temperature value can be obtained by measuring the temperature at a single point on the surface. .

[0020] Optionally, the wind-measuring radar can be any radar device that can measure wind fields, such as Doppler radar or wind-measuring lidar. No specific limitation is made; however, Doppler radar is used as an example. It is equipped with a miniature fiber laser, a compact optical transceiver antenna, and a high-sensitivity photodetector. The device has low power consumption and supports continuous all-weather field observation. Doppler radar can continuously detect three-dimensional wind speed time-series profiles from 0 to 3000 m. Therefore, the acquired wind speed data can include several heights within the range of 0 to 3000 m. The corresponding wind speed. The wind speed measured by the wind radar is a multi-dimensional wind speed, including the first wind speed component on the horizontal axis (east-west direction / X-axis). The second wind speed component on the vertical axis (north-south direction / Y-axis) And the third wind speed component in the height direction (vertical / Z-axis) .

[0021] In addition to conventional temperature measuring devices and wind measuring radar, the hardware system of this application embodiment also includes an industrial ARM main control board, a power module, a storage module, and a communication module. The power module provides power to the industrial ARM main control board, temperature measuring devices, storage module, communication module, and wind measuring radar. The storage module can be used to store surface temperature values ​​and wind speed data for calculation. The industrial ARM main control board is used to execute steps S200-S400, and can also perform other data processing during execution, including but not limited to signal-to-noise ratio filtering of wind speed data, abnormal profile removal, and removal of invalid observations due to rainfall and obstacles. The communication module can upload the virtual potential temperature corresponding to a specified height to the backend server. It should be noted that when there are multiple specified heights, the industrial ARM main control board can form a virtual potential temperature profile based on the virtual potential temperatures corresponding to multiple specified heights. The communication module can remotely upload the virtual potential temperature profile, wind speed data, shear generation items, buoyancy generation items, etc., to the backend server.

[0022] S200. Based on the wind speed data, determine the shear generation term, buoyancy generation term, and the rate of change of wind speed in the height direction at each height.

[0023] S300. Within the height range from the ground surface to the specified height, integrate the shear generation term, buoyancy generation term, and rate of change parameter at each height to determine the integration result.

[0024] S400. Based on the surface temperature value and the integration result, determine the virtual potential temperature corresponding to the specified height.

[0025] The technical solution of this application embodiment acquires surface temperature values ​​and wind speed data corresponding to several heights using a wind-measuring radar. Based on the wind speed data, it determines the shear generation term, buoyancy generation term, and rate of change parameter of wind speed in the height direction for each height. Within the height range from the surface to a specified height, it integrates the shear generation term, buoyancy generation term, and rate of change parameter for each height to determine the integration result. Based on the surface temperature value and the integration result, it determines the virtual potential temperature corresponding to the specified height. Only a single surface temperature value is needed, so conventional temperature measurement equipment can be used without the need for dedicated temperature measurement equipment to measure multiple points of data, reducing costs and data processing volume. It also avoids the spatiotemporal mismatch problem of wind and heat data caused by inconsistent observation space and sampling time in the combination of multiple dedicated equipment, ensuring the accuracy of virtual potential temperature. Determining virtual potential temperature by specifying height and integration method is more flexible and has stronger applicability.

[0026] In one embodiment, the rate of change parameter includes a first wind speed rate of change and a second wind speed rate of change; step S200 determines the rate of change parameter of wind speed in the height direction at each height based on the wind speed data, including steps S210-S220: S210. Differentiate the first wind speed component on the horizontal axis with respect to the corresponding height to determine the first wind speed change rate in the height direction for each height.

[0027] Optionally, based on the first wind speed component on the horizontal axis... For the corresponding height Differentiate to determine the first rate of change of wind speed in the vertical direction at each altitude. .

[0028] S220. Differentiate the second wind speed component of the wind speed on the vertical axis with respect to the corresponding height to determine the second wind speed change rate in the height direction for each height.

[0029] Optionally, based on the second wind speed component on the vertical axis... For the corresponding height Differentiate to determine the second rate of change of wind speed in the vertical direction at each altitude. .

[0030] It should be noted that the shear generation term at each height is determined based on wind speed data. Buoyancy generation item The calculation can be performed using existing publicly available methods, without specific limitations, such as, but not limited to, calculating the shearing generation term using the method in patent announcement number CN119575516B. Buoyancy generation item It is understandable that a wind speed at a given altitude can determine a corresponding shear generation term. Buoyancy generation item Therefore, the shearing term can be denoted as , representing height The shear generation term and the buoyancy generation term can be denoted as... , representing height The buoyancy generation term.

[0031] In one implementation, step S300 includes steps S310-S340: S310. Determine the thermodynamic coefficients for each height based on the shear generation term and buoyancy generation term at each height.

[0032] Optionally, the buoyancy generation term at each height can be determined separately. With shearing generation ratio By taking the negative of the ratios at each height, the thermodynamic coefficients at each height are obtained. .

[0033] S320. Determine the wind shear coefficient at each altitude based on the first and second wind speed change rates.

[0034] Optionally, the rate of change of the first wind speed at each altitude can be determined separately. square and the second wind speed change rate square The wind shear coefficient at each height is obtained by summing the squares of the first and second wind speed change rates, respectively. .

[0035] S330. Determine the value of the function to be integrated at each height based on the reciprocal of the gravitational acceleration, the thermodynamic coefficient, and the first product of the wind shear coefficient.

[0036] Optionally, the reciprocal of gravitational acceleration is The value of the function to be integrated is: .

[0037] S340. Within the height range from the ground surface to the specified height, integrate the function values ​​to be integrated at each height to obtain the integration result.

[0038] For example, suppose the specified height is Therefore, the range of height from the Earth's surface to the specified altitude, i.e., the range of the integral, is [0, ... The specific formula for the integral result is as follows:

[0039] In one embodiment, step S400 includes steps S410-S420: S410. Determine the exponential result based on the exponential function and the integral result.

[0040] Optionally, for an exponential function such as exp, the exponential result is determined based on the exponential function exp and the integral result:

[0041] S420. Determine the virtual potential temperature corresponding to the specified height based on the surface temperature value and the second product of the index result.

[0042] Optionally, based on the surface temperature value The second product of the exponential results determines the virtual temperature corresponding to the specified height. :

[0043] Understandably, the specified height can be determined as needed. The specific height, such as specifying a height. These are the various heights in the wind speed data. At this point, the virtual potential temperature corresponding to each height can be determined, thus forming a virtual potential temperature profile. This allows for lightweight and large-scale deployment in multiple scenarios, including low-altitude economic meteorological safety monitoring, environmental monitoring, weather forecasting, air quality forecasting, numerical model boundary layer parameter correction, and wind energy resource assessment.

[0044] It should be noted that the derivation process of the formulas for calculating the integral result and the imaginary potential temperature in this application is as follows: First, determine the buoyancy-generating terms. Then, based on the textbook definition, the buoyancy generation term... This can be expressed as formula (1):

[0045] Where g is the acceleration due to gravity. For height The virtual temperature, The third wind speed component in the vertical direction (Z-axis) and the imaginary potential temperature. The pulsating covariance, this formula is used to establish the buoyancy term. The physical relationship between thermal pulsations and thermal fluctuations.

[0046] Then, according to the first-order closed-loop theory of turbulence, we have formula (2):

[0047] in, For height The turbulent thermal diffusivity is calculated using a formula that converts the buoyancy parameter into a vertical gradient of virtual potential temperature.

[0048] Furthermore, substituting formula (2) into formula (1), we obtain formula (3):

[0049] Then, transforming formula (3) yields formula (4):

[0050] Next, along the vertical height on both sides of formula (4) Performing indefinite integral operations, the corresponding integration range is [0, ... ], as in formula (5):

[0051] Therefore, solving the integral yields a logarithmic solution, as shown in formula (6):

[0052] Where c is an undetermined constant for integration, determined by the measured virtual potential temperature on the ground; by performing an exponential transformation on both sides of formula (6) to eliminate the logarithmic term, we obtain formula (7):

[0053] In this embodiment of the application, let the integration constant A = exp(c), and substitute it into formula (7) to obtain the basic expression for the virtual potential temperature, namely formula (8):

[0054] Optionally, because of height Turbulent thermal diffusivity Since it cannot be obtained directly, the momentum exchange approximation is used, and a shear generation term is employed. to replace Specifically, as shown in formula (9):

[0055] In addition, substitute formula (9) into formula (8) and use the surface temperature value. Replacing the integration constant A, we can obtain the final formula for calculating (inverting) the virtual potential temperature, namely formula (10):

[0056] Therefore, based on this formula, when the height z is a specified height Then, the formula for calculating the virtual potential temperature corresponding to the specified height in step S420 above can be obtained.

[0057] In this embodiment of the application, the virtual potential temperature is determined by inverting surface temperature values ​​through integration, which has at least the following advantages: 1. Strong physical constraints: The integral method directly inherits the physical consistency of the turbulent kinetic energy budget equation, and has stronger physical interpretability and extrapolation ability than pure statistical fitting or empirical formulas.

[0058] 2. Layer-by-layer accumulation with controllable error: The integral method accumulates the buoyancy and shear generation terms layer by layer according to the height, making the physical process clear and the error not significantly amplified as in the differential method; the integration interval is flexible and can be calculated based on a specified height as needed.

[0059] 3. Adapts to different atmospheric layers, with good stability and accuracy: for example, stabilizing the boundary layer (such as at night when the ground cools). Smaller or negative, dynamics (shear generation term) The convective boundary layer plays a dominant role (during the day, the ground is heated). Larger, thermal (buoyancy generation term) The neutral boundary layer (strong winds, cloudy weather) plays a dominant role. Approaching 0, pure dynamics (shear generation term) Turbulence plays a role, thus it can adapt to different atmospheric layers, determine accurate and corresponding integral results, obtain accurate virtual potential temperature, and has strong applicability; the inversion of different atmospheric layers can reach sub-Kelvin accuracy, accurately identify the fine thermal structure of nighttime inversion and daytime mixing layer, and is not limited by local topography and climate. It can be used in different climate zones in the north and south, and has strong adaptability.

[0060] 4. Existing radars do not require hardware replacement. The same set of equipment and the same observation point at the same time can synchronously produce three-dimensional wind field, shear generation, buoyancy generation, and virtual temperature profile, solving the problem of data spatiotemporal misalignment caused by multi-instrument combined observation. The hardware is simplified and the networking cost is low, eliminating the need for various special equipment for vertical profile temperature measurement. The whole system is small and low-power, and can be installed on columns or walls, making it suitable for low-altitude routes and densely deployed stations in urban areas.

[0061] like Figure 2 The diagram shows a virtual potential temperature profile (composed of virtual potential temperatures at multiple altitudes) determined by radiosonde (radio sounding) and a virtual potential temperature profile determined by the method (Lidar) of this application embodiment. It can be seen that a virtual potential temperature profile very close to that of radiosonde can be obtained with a lower cost device, which shows that the method of this application embodiment is actually effective.

[0062] Reference Figure 3 The diagram shows a structural block diagram of a virtual potential temperature determination device based on wind-measuring radar according to an embodiment of this application. The device may include: The acquisition module is used to acquire surface temperature values ​​and wind speed data through a wind-measuring radar. The wind speed data includes wind speeds at several altitudes. The first determining module is used to determine the shear generation term, buoyancy generation term, and rate of change of wind speed in the height direction at each height based on wind speed data. The integration module is used to integrate the shear generation term, buoyancy generation term, and rate of change parameter at each height range from the ground surface to a specified height, and determine the integration result. The second determining module is used to determine the virtual potential temperature corresponding to a specified height based on the surface temperature value and the integration result.

[0063] Optionally, the integration module includes: The first unit is used to determine the thermodynamic coefficients at each height based on the shear generation term and the buoyancy generation term at each height. The second unit is used to determine the wind shear coefficient at each altitude based on the first wind speed change rate and the second wind speed change rate at each altitude. The third unit is used to determine the value of the function to be integrated at each height based on the first product of gravitational acceleration, thermodynamic coefficient and wind shear coefficient. The fourth unit is used to integrate the function values ​​at each altitude within the range from the ground surface to a specified altitude, and obtain the integration result.

[0064] The functions of each module in the device of this application embodiment can be found in the corresponding description in the above method, and will not be repeated here.

[0065] Reference Figure 4 The diagram illustrates a structural block diagram of an electronic device according to an embodiment of this application. The electronic device includes a memory 310 and a processor 320. The memory 310 stores instructions that can be executed on the processor 320. The processor 320 loads and executes these instructions to implement the virtual potential temperature determination method based on wind-measuring radar in the above embodiment. The number of memories 310 and processors 320 can be one or more.

[0066] In one embodiment, the electronic device further includes a communication interface 330 for communicating with external devices and exchanging data. If the memory 310, processor 320, and communication interface 330 are implemented independently, they can be interconnected via a bus to communicate with each other. This bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0067] Optionally, in a specific implementation, if the memory 310, processor 320 and communication interface 330 are integrated on a single chip, the memory 310, processor 320 and communication interface 330 can communicate with each other through an internal interface.

[0068] This application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the virtual potential temperature determination method based on wind-measuring radar provided in the above embodiments.

[0069] This application also provides a chip, which includes a processor for calling and executing instructions stored in a memory, causing a communication device on which the chip is installed to perform the method provided in this application.

[0070] This application also provides a chip, including: an input interface, an output interface, a processor, and a memory. The input interface, output interface, processor, and memory are connected through an internal connection path. The processor is used to execute code in the memory. When the code is executed, the processor is used to execute the method provided in the application embodiment.

[0071] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors can be microprocessors or any conventional processor. It is worth noting that the processor can be a processor supporting the Advanced Reduced Instruction Set Computing (RISC) machine (ARM) architecture.

[0072] Further, optionally, the aforementioned memory may include read-only memory and random access memory, and may also include non-volatile random access memory. The memory may be volatile or non-volatile, or may include both. Non-volatile memory may include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which serves as an external cache. Many forms of RAM are available by way of example, but not limitation. Examples include static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (SLDRAM), and direct rambus RAM (DR RAM).

[0073] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another.

[0074] In this specification, the use of terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples" indicates that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. Furthermore, the described specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0075] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0076] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process. Furthermore, the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functionality involved.

[0077] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus or device (such as a computer-based system, a processor-included system or other system that can fetch and execute instructions from, an instruction execution system, apparatus or device).

[0078] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. All or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware, the program being stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiments.

[0079] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. This storage medium can be a read-only memory, a disk, or an optical disk, etc.

[0080] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in this application, and these should all be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for determining virtual potential temperature based on wind-measuring radar, characterized in that, include: The surface temperature value is obtained and the wind speed data is obtained through a wind-measuring radar, wherein the wind speed data includes wind speeds corresponding to several altitudes. Based on the wind speed data, determine the shear generation term, buoyancy generation term, and wind speed change rate parameter in the height direction for each height. Within the height range from the ground surface to a specified height, the shear generation term, the buoyancy generation term, and the rate of change parameter at each specified height are integrated to determine the integration result; Based on the surface temperature value and the integration result, determine the virtual potential temperature corresponding to the specified altitude; The rate of change parameter includes a first wind speed rate of change and a second wind speed rate of change. Based on the wind speed data, the rate of change parameter of wind speed at each height in the height direction is determined as follows: The first rate of change of wind speed in the height direction at each height is determined by differentiating the first wind speed component on the horizontal axis with respect to the corresponding height. The second wind speed variation rate in the height direction of each height is determined by differentiating the second wind speed component on the vertical axis with respect to the corresponding height.

2. The method for determining virtual potential temperature based on wind-measuring radar according to claim 1, characterized in that: The integration within the height range from the ground surface to a specified height, based on the shear generation term, the buoyancy generation term, and the rate of change parameter at each specified height, to determine the integration result includes: The thermodynamic coefficients for each height are determined based on the shear generation term and the buoyancy generation term for each height, respectively. The wind shear coefficient for each of the heights is determined based on the first wind speed change rate and the second wind speed change rate for each height. The integral function value for each height is determined by the product of the reciprocal of the gravitational acceleration, the thermodynamic coefficient, and the first product of the wind shear coefficient. Within the height range from the ground surface to a specified altitude, the integral is performed based on the function values ​​to be integrated at each specified altitude to obtain the integral result.

3. The method for determining virtual potential temperature based on wind-measuring radar according to claim 2, characterized in that: The determination of the thermodynamic coefficients for each height based on the shear generation term and the buoyancy generation term includes: Determine the ratio of the buoyancy-generating term to the shear-generating term at each of the stated heights; The thermodynamic coefficients for each of the heights are obtained by taking the opposite of the ratios for each height.

4. The method for determining virtual potential temperature based on wind-measuring radar according to claim 2, characterized in that: The step of determining the wind shear coefficient for each of the aforementioned heights based on the first wind speed change rate and the second wind speed change rate for each height includes: Determine the square of the first wind speed change rate and the square of the second wind speed change rate at each of the stated heights; The wind shear coefficients at each of the stated heights are obtained by summing the squares of the first wind speed change rate and the squares of the second wind speed change rate.

5. The method for determining virtual potential temperature based on wind-measuring radar according to any one of claims 1-4, characterized in that: Determining the virtual potential temperature corresponding to the specified altitude based on the surface temperature value and the integration result includes: The exponential result is determined based on the exponential function and the integral result. The virtual potential temperature corresponding to the specified altitude is determined by the second product of the surface temperature value and the index result.

6. A device for determining virtual potential temperature based on wind-measuring radar, characterized in that, include: The acquisition module is used to acquire surface temperature values ​​and wind speed data through a wind-measuring radar, wherein the wind speed data includes wind speeds corresponding to several altitudes. The first determining module is used to determine the shear generation term, buoyancy generation term, and wind speed change rate parameter in the height direction for each height based on the wind speed data. An integration module is used to integrate the shear generation term, the buoyancy generation term, and the rate of change parameter at each height from the ground surface to a specified height, and determine the integration result. The second determining module is used to determine the virtual potential temperature corresponding to the specified height based on the surface temperature value and the integration result; The rate of change parameter includes a first wind speed rate of change and a second wind speed rate of change. Based on the wind speed data, the rate of change parameter of wind speed at each height in the height direction is determined as follows: The first rate of change of wind speed in the height direction at each height is determined by differentiating the first wind speed component on the horizontal axis with respect to the corresponding height. The second wind speed variation rate in the height direction of each height is determined by differentiating the second wind speed component on the vertical axis with respect to the corresponding height.

7. The virtual potential temperature determination device based on wind-measuring radar according to claim 6, characterized in that: The integration module includes: The first unit is used to determine the thermodynamic coefficient of each height based on the shear generation term and the buoyancy generation term of each height, respectively. The second unit is used to determine the wind shear coefficient for each of the heights based on the first wind speed change rate and the second wind speed change rate for each height. The third unit is used to determine the integral function value for each of the heights based on the reciprocal of the gravitational acceleration, the thermodynamic coefficient, and the first product of the wind shear coefficient. The fourth unit is used to integrate the integral of the function values ​​at each specified height within the height range from the ground surface to a specified height, and obtain the integration result.

8. An electronic device, characterized in that, include: A processor and a memory, wherein instructions are stored in the memory and loaded and executed by the processor to implement the method as described in any one of claims 1-5.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed, implements the method as described in any one of claims 1-5.

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