Wind profile radar data adaptive quality control method and system under extreme weather influence

Abstract

The invention relates to the technical field of wind profile radar data processing, in particular to a wind profile radar data adaptive quality control method and system under the influence of extreme weather. The method comprises the following steps: acquiring wind profile radar spectrum data, and calculating radial speeds of four inclined beams in the east, the south, the west and the north according to the wind profile radar spectrum data; obtaining a horizontal wind component of an inclined beam according to the radial speed; synthesizing the horizontal wind component to obtain a new wind speed of the inclined wave beam; and constructing a wind speed profile by using the new wind speed, obtaining an optimal wind speed profile in combination with a balloon sounding profile and the wind speed profile, and taking wind speed data of the optimal wind speed profile as product data. According to the three-beam detection principle, the optimal wind speed profile is obtained through the wind speed data resynthesized by the wind profile radar data, and the problem of poor availability of the wind profile radar observation data in extreme weather is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind profiler radar data processing, and in particular to a method and system for adaptive quality control of wind profiler radar data under the influence of extreme weather. Background Art

[0002] Wind profiler radar is a remote sensing device that uses the scattering effect of atmospheric turbulence on electromagnetic waves to detect atmospheric wind fields. It obtains three-dimensional atmospheric wind field information by measuring the velocity of five beams in multiple directions, namely east, west, south, north and center. It is an effective way to conduct wind field observations without supervision, but it is mainly used for clear sky detection, and its quality control technology is relatively mature under clear sky conditions. Observation data during precipitation, especially observation data of boundary layer wind profiler radar, will be greatly affected. Although the data acquisition rate of wind profiler radar can be improved during precipitation, the quality of wind field data is not necessarily good, especially during heavy rainstorms.

[0003] Constrained by the detection principle of wind profiler itself, its observation is based on certain assumptions, which can estimate the wind direction, wind speed and vertical movement at the height of the echo signal, thereby obtaining atmospheric wind profile data. This assumption is crucial, that is, it requires that the air movement must be "horizontally uniform" at least within the spatial range of beam sampling, that is, at the same detection height, the wind direction and wind speed at the pointing point of each wind profiler radar beam should be the same. Wind profiler radar is rarely used for observations under strong wind and heavy precipitation conditions, especially in extreme weather such as typhoons, which cannot guarantee the uniformity of the atmosphere, that is, it does not meet the prerequisites for wind profiler radar observations, and the observation data availability of wind profiler radar is poor. Therefore, using wind profiler radar for effective observation in a non-uniform atmospheric environment is an urgent problem to be solved. Summary of the invention

[0004] In view of the shortcomings of existing methods and the needs of practical applications, in order to use wind profiler radar for effective observation in a non-uniform atmospheric environment, the problem of poor availability of wind profiler radar observation data in extreme weather is solved. On the one hand, the present invention provides an adaptive quality control method for wind profiler radar data under the influence of extreme weather, comprising the following steps: obtaining wind profiler radar spectrum data, calculating the radial velocity of four inclined beams in the southeast, northwest and northeast according to the wind profiler radar spectrum data; obtaining the horizontal wind component of the inclined beam according to the radial velocity; synthesizing the horizontal wind component to obtain the new wind speed of the inclined beam; using the new wind speed to construct a wind speed profile, combining the balloon sounding profile and the wind speed profile to obtain the optimal wind speed profile, and using the wind speed data of the optimal wind speed profile as product data. Based on the principle of three-beam detection, the present invention obtains the optimal wind speed profile through the wind speed data resynthesized by the wind profiler radar data, thereby solving the problem of poor availability of wind profiler radar observation data in extreme weather.

[0005] Optionally, the radial velocity of the tilted beam is calculated according to the wind profile radar spectrum data, satisfying the following formula: ,in, represents the radial velocity of the tilted beam, Indicates The power value of the point, Indicates The present invention performs weighted summation of each velocity component within the frequency range occupied by the power spectrum of the wind profile radar data signal, effectively obtains the radial velocity of each tilted beam, and is conducive to improving the accuracy of wind profile radar observation data.

[0006] Optionally, obtaining the horizontal wind component of the tilted beam according to the radial velocity includes obtaining a horizontal wind east component and a horizontal wind north component of the tilted beam.

[0007] Optionally, according to the radial velocity, a horizontal wind east component of the tilted beam is obtained, satisfying the following formula: ,in, represents the horizontal wind east component of the tilt beam, represents the east beam radial velocity of the tilted beam, represents the west beam radial velocity of the tilted beam, Indicates the angle of the tilted beam detected by the radar.

[0008] Optionally, according to the radial velocity, a horizontal wind north component of the tilted beam is obtained, satisfying the following formula: ,in, represents the horizontal wind north component of the tilt beam, represents the north beam radial velocity of the tilted beam, represents the south beam radial velocity of the tilted beam, Indicates the angle of the tilted beam detected by the radar. The present invention projects the radial velocity of each tilted beam onto the horizontal wind component, which is further conducive to synthesizing a new horizontal wind component.

[0009] Optionally, synthesizing the horizontal wind component to obtain a new wind speed of the tilted beam includes obtaining a new wind speed magnitude and a new wind speed direction of the tilted beam.

[0010] Optionally, the horizontal wind component is synthesized to obtain a new wind speed of the tilted beam, satisfying the following formula: ,in, represents the new wind speed magnitude of the tilted beam, represents the horizontal wind east component of the tilt beam, Represents the horizontal wind north component of the tilt beam.

[0011] Optionally, the horizontal wind component is synthesized to obtain a new wind speed direction of the tilted beam, satisfying the following formula: ,in, represents the new wind speed direction of the tilted beam, represents the horizontal wind east component of the tilt beam, The invention uses the synthesized new wind speed of the tilted beam to reorganize the wind profile radar data, which is conducive to obtaining the three-beam wind speed profile.

[0012] Optionally, constructing a wind speed profile using the new wind speed comprises the following steps: A new combination is obtained by combining the middle beam with the southeast, northwest and northeast tilted beams in pairs; four three-beam wind speed profiles of central northeast, central northwest, central southeast east and central southwest west are obtained based on the data of the new combination. The present invention forms a wind speed profile by forming three beams with the middle beam and other tilted beams, which is conducive to quickly obtaining the optimal wind speed profile.

[0013] In the second aspect, in order to be able to efficiently execute the adaptive quality control method for wind profiler radar data under the influence of extreme weather provided by the present invention, the present invention also provides an adaptive quality control system for wind profiler radar data under the influence of extreme weather, including a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the adaptive quality control method for wind profiler radar data under the influence of extreme weather as described in the first aspect of the present invention. The adaptive quality control system for wind profiler radar data under the influence of extreme weather of the present invention has a compact structure and stable performance, and can stably execute the adaptive quality control method for wind profiler radar data under the influence of extreme weather provided by the present invention, further improving the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A flow chart of a method for adaptive quality control of wind profile radar data under the influence of extreme weather provided by an embodiment of the present invention; Figure 2 A comparison chart of secondary wind profile radar data at 201507100300UTC provided by an embodiment of the present invention; Figure 3 A comparison chart of secondary wind profile radar data at 201507100600UTC provided by an embodiment of the present invention; Figure 4A comparison chart of secondary wind profile radar data at 201609272005UTC provided by an embodiment of the present invention; Figure 5 A comparison chart of secondary wind profile radar data at 201908091120UTC provided by an embodiment of the present invention; Figure 6 A comparison chart of secondary wind profile radar data at 201908091325UTC provided by an embodiment of the present invention; Figure 7 A comparison chart of secondary wind profile radar data at 201908091820UTC provided by an embodiment of the present invention; Figure 8 A framework diagram of an adaptive quality control system for wind profile radar data under the influence of extreme weather provided by an embodiment of the present invention; Fig. 9 A schematic diagram of the structure of an adaptive quality control device for wind profile radar data under extreme weather conditions provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0016] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0017] See also Figure 1 In order to use wind profiler radar for effective observation in a non-uniform atmospheric environment and solve the problem of poor availability of wind profiler radar observation data under extreme weather conditions, the present invention provides an adaptive quality control method for wind profiler radar data under extreme weather conditions, such as Figure 1 As shown, the method comprises the following steps: S1. Obtain wind profile radar spectrum data, and calculate radial velocities of four inclined beams in the southeast, northwest and northeast according to the wind profile radar spectrum data.

[0018] Wind profiler radar is an atmospheric detection instrument used in the field of earth science. It detects high-altitude wind fields by emitting electromagnetic beams in different directions to high altitudes, receiving and processing the information returned by these electromagnetic beams due to the uneven vertical structure of the atmosphere.

[0019] Wind profiler radar uses the Doppler effect to detect changes in meteorological elements such as wind direction and wind speed above the ground with altitude. It has the advantages of high temporal and spatial resolution and high degree of automation.

[0020] Furthermore, the wind profiler radar has five beams, namely east, west, south, north and center. The center beam is a vertical beam, and the four east, west, south and north beams are inclined beams. The angle between the four beams and the horizontal plane is 75°, and the angle between them and the plumb line is 15°.

[0021] Furthermore, the radial velocity of the tilted beam is calculated according to the wind profile radar spectrum data, satisfying the following formula: ,in, represents the radial velocity of the tilted beam, Indicates The power value of the point, Indicates The speed of the point.

[0022] S2. Obtain the horizontal wind component of the tilted beam according to the radial velocity.

[0023] In an embodiment, obtaining the horizontal wind component of the tilted beam according to the radial velocity includes obtaining the horizontal wind east component and the horizontal wind north component of the tilted beam.

[0024] Further, according to the radial velocity, the horizontal wind east component of the tilted beam is obtained, which satisfies the following formula: ,in, represents the horizontal wind east component of the tilt beam, represents the east beam radial velocity of the tilted beam, represents the west beam radial velocity of the tilted beam, Indicates the angle of the tilted beam detected by the radar.

[0025] Furthermore, according to the radial velocity, the horizontal wind north component of the tilted beam is obtained, which satisfies the following formula: ,in, represents the horizontal wind north component of the tilt beam, represents the north beam radial velocity of the tilted beam, represents the south beam radial velocity of the tilted beam, Indicates the angle of the tilted beam detected by the radar.

[0026] It can be understood that the radial velocity is in three-dimensional space. The wind speed projected on the horizontal plane is the horizontal wind. The actual horizontal wind can be decomposed into two perpendicular components. First, decompose the horizontal wind into the east and north directions. The angle of the horizontal wind is the angle with the north component.

[0027] S3. Synthesize the horizontal wind component to obtain a new wind speed of the tilted beam.

[0028] In an embodiment, synthesizing the horizontal wind component to obtain a new wind speed of the tilted beam includes obtaining a new wind speed magnitude and a new wind speed direction of the tilted beam.

[0029] Furthermore, the horizontal wind component is synthesized to obtain a new wind speed of the tilted beam, which satisfies the following formula: ,in, represents the new wind speed magnitude of the tilted beam, represents the horizontal wind east component of the tilt beam, Represents the horizontal wind north component of the tilt beam.

[0030] Furthermore, the horizontal wind component is synthesized to obtain a new wind speed direction of the tilted beam, satisfying the following formula: ,in, represents the new wind speed direction of the tilted beam, represents the horizontal wind east component of the tilt beam, Represents the horizontal wind north component of the tilt beam.

[0031] S4. Use the new wind speed to construct a wind speed profile, combine the balloon sounding profile and the wind speed profile to obtain an optimal wind speed profile, and use the wind speed data of the optimal wind speed profile as product data.

[0032] Balloon sounding profile refers to the acquisition of distribution data of meteorological elements at different altitudes in the atmosphere by releasing sounding balloons for high-altitude observations. These data are usually displayed in the form of profiles, including temperature profiles, humidity profiles, wind profiles, and ozone profiles.

[0033] The step S4 uses the new wind speed to construct a wind speed profile, including the following steps: A new combination is obtained by combining the middle beam with the southeast, northwest and northeast inclined beams in pairs; based on the data of the new combination and in accordance with the three-beam detection principle, four three-beam wind speed profiles of central northeast, central northwest, central southeast east and central southwest west are obtained.

[0034] Furthermore, an error analysis is performed between the four three-beam wind speed profiles and the balloon sounding profile obtained by actual observation, and the three-beam wind speed profile with the smallest error is automatically selected as the optimal wind speed profile, i.e., the adaptive quality-controlled wind profile, and the wind speed data of the optimal wind speed profile, i.e., the data after quality control, is used as the product data.

[0035] See also Figure 2-Figure 7 In the figure, "sounding" represents the balloon sounding profile, which can be identified as the actual observation value, "wind profile" represents the wind speed product data generated by the boundary layer wind profiler radar, and "wind profile after three-beam quality control" represents the boundary layer wind profiler radar data after quality control of the present invention. It can be seen that on the basis of the same-point observation of the wind profiler radar and the balloon sounding, the observation data quality of the boundary layer wind profiler radar after quality control of the present invention is significantly improved, and most of them even have the same trend of wind speed changing with height as the sounding profile, which is more representative.

[0036] See also Figure 8 In an embodiment, in order to efficiently execute the adaptive quality control method for wind profile radar data under the influence of extreme weather provided by the present invention, the present invention also provides an adaptive quality control system for wind profile radar data under the influence of extreme weather, including: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory contains program instructions, and the program instructions are used for the steps of the adaptive quality control method for wind profile radar data under the influence of extreme weather. The adaptive quality control system for wind profile radar data under the influence of extreme weather of the present invention has a compact structure and stable performance, and can stably execute the adaptive quality control method for wind profile radar data under the influence of extreme weather of the present invention, further improving the overall applicability and practical application ability of the present invention.

[0037] In an embodiment, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. An input device may be used to obtain data information. An output device may be used to output the results obtained by storing program instructions contained in a computer program in a memory provided by the present invention. The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory.

[0038] In yet another alternative embodiment, see Fig. 9 In order to efficiently execute the method for adaptive quality control of wind profile radar data under extreme weather conditions provided by the present invention, this embodiment further provides an adaptive quality control device for wind profile radar data under extreme weather conditions, such as Fig. 9 As shown, including: The memory 10 is used to store computer programs; the processor 20 is used to execute the computer programs to implement the above-mentioned wind profile radar data adaptive quality control method under the influence of extreme weather. The memory 10, the processor 20, the communication interface 31 and the communication bus 32. The memory 10, the processor 20, and the communication interface 31 all communicate with each other through the communication bus 32.

[0039] In an embodiment, the memory 10 is used to store one or more program instructions. The memory 10 may store program instructions for implementing the following functions: Obtain wind profile radar spectrum data, calculate radial velocities of four inclined beams in the southeast, northwest and northeast according to the wind profile radar spectrum data; obtain horizontal wind components of the inclined beams according to the radial velocities; synthesize the horizontal wind components to obtain new wind speeds of the inclined beams; use the new wind speeds to construct a wind speed profile, combine the balloon sounding profile and the wind speed profile to obtain an optimal wind speed profile, and use the wind speed data of the optimal wind speed profile as product data.

[0040] In one possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, and at least one application required for a function, etc.; the data storage area may store data created during use. In addition, the memory 10 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset thereof, or an extended set thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0041] The processor 20 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic device, and the processor 20 may be a microprocessor or any conventional processor, etc. The processor 20 may call a program stored in the memory 10. The communication interface 31 may be an interface of a communication module, and is used to connect with other devices or systems.

[0042] Of course, it should be noted that Fig. 9 The structure shown does not constitute a limitation on the adaptive quality control device for wind profile radar data under extreme weather conditions in this embodiment. In actual applications, the adaptive quality control device for wind profile radar data under extreme weather conditions may include: Fig. 9 More or fewer components than shown, or combinations of certain components.

[0043] A storage medium is also provided in the embodiment, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for adaptive quality control of wind profile radar data under the influence of extreme weather are implemented.

[0044] The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0045] In summary, the present invention obtains the optimal wind speed profile by re-synthesizing wind speed data from wind profiler radar data based on the three-beam detection principle, realizes effective observation using wind profiler radar in a non-uniform atmospheric environment, and solves the problem of poor availability of wind profiler radar observation data in extreme weather.

[0046] Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0047] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope recorded in the present invention.

Claims

1. An adaptive quality control method for wind profile radar data under extreme weather conditions, characterized in that: The following steps are involved: Acquire wind profile radar spectrum data, and calculate radial velocities of four inclined beams in the southeast, northwest and northeast according to the wind profile radar spectrum data; According to the radial velocity, a horizontal wind component of the tilted beam is obtained; synthesizing the horizontal wind component to obtain a new wind speed of the tilted beam; The new wind speed is used to construct a wind speed profile, and the balloon sounding profile and the wind speed profile are combined to obtain an optimal wind speed profile, and the wind speed data of the optimal wind speed profile is used as product data.

2. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 1, characterized in that: The radial velocity of the tilted beam is calculated according to the wind profile radar spectrum data, satisfying the following formula: in, represents the radial velocity of the tilted beam, Indicates The power value of the point, Indicates The speed of the point.

3. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 1, characterized in that: The obtaining of the horizontal wind component of the tilted beam according to the radial velocity includes obtaining the horizontal wind east component and the horizontal wind north component of the tilted beam.

4. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 3 is characterized in that: According to the radial velocity, the horizontal wind east component of the tilt beam is obtained, which satisfies the following formula: in, represents the horizontal wind east component of the tilt beam, represents the east beam radial velocity of the tilted beam, represents the west beam radial velocity of the tilted beam, Indicates the angle of the tilted beam detected by the radar.

5. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 3 is characterized in that: According to the radial velocity, the horizontal wind north component of the tilt beam is obtained, which satisfies the following formula: in, represents the horizontal wind north component of the tilt beam, represents the north beam radial velocity of the tilted beam, represents the south beam radial velocity of the tilted beam, Indicates the angle of the tilted beam detected by the radar.

6. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 1, characterized in that: The synthesizing of the horizontal wind component to obtain a new wind speed of the inclined beam includes obtaining a new wind speed magnitude and a new wind speed direction of the inclined beam.

7. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 6, characterized in that: The horizontal wind component is synthesized to obtain the new wind speed of the tilted beam, which satisfies the following formula: in, represents the new wind speed magnitude of the tilted beam, represents the horizontal wind east component of the tilt beam, Represents the horizontal wind north component of the tilt beam.

8. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 6, characterized in that: The horizontal wind component is synthesized to obtain a new wind speed direction of the tilted beam, which satisfies the following formula: in, represents the new wind speed direction of the tilted beam, represents the horizontal wind east component of the tilt beam, Represents the horizontal wind north component of the tilt beam.

9. The method for adaptive quality control of wind profile radar data under extreme weather conditions according to claim 1, characterized in that: The method of constructing a wind speed profile by using the new wind speed comprises the following steps: The middle beam and the southeast, northwest and north-slanted beams are combined in pairs to obtain a new combination; Based on the data of the new combination, four three-beam wind speed profiles of central northeast, central northwest, central southeast east and central southwest west are obtained.

10. An adaptive quality control system for wind profile radar data under extreme weather conditions, characterized in that: The adaptive quality control system for wind profile radar data under the influence of extreme weather comprises: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory comprises program instructions, and the program instructions are used to execute the adaptive quality control method for wind profile radar data under the influence of extreme weather as described in any one of claims 1 to 9.

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