CN114200413A - Doppler weather radar electromagnetic interference data quality control method - Google Patents
Doppler weather radar electromagnetic interference data quality control method Download PDFInfo
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
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- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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Abstract
The invention provides a Doppler weather radar electromagnetic interference data quality control method, which comprises the following steps: the method comprises the steps of identifying that the radial reflectivity echoes are uniformly distributed along with the distance by dividing multiple sections of radial data, constructing a diagnosis function by using a mathematical statistic method, and jointly judging whether the radial reflectivity echoes are the radial electromagnetic interference echoes or not according to the radial reflectivity distribution condition and the correlation coefficient of the diagnosis function.
Description
Technical Field
The invention relates to the technical field of meteorological data processing, in particular to a Doppler weather radar electromagnetic interference data quality control method.
Background
Due to the fact that the Doppler weather radar is subjected to scanning wave bands, scanning modes and objective conditions, such as terrain, biology and atmospheric refractive index, non-meteorological echoes, namely reflectivity echo data caused by non-precipitation particles exist in the Doppler weather radar reflectivity data. These data interfere with the determination of precipitation echo range, intensity, structure, etc., and therefore need to be determined and removed by a quality control algorithm.
At present, the quality control of the radial electromagnetic interference echo is carried out by a storm kernel identification method, an isolated point filtering method and a power method, but the problems that more than 5 continuous azimuth radial electromagnetic interferences cannot be identified, manual intervention is needed for parameter adjustment, and the layered cloud precipitation echo is identified by mistake exist.
Disclosure of Invention
In view of the above, the present invention has been made to provide a doppler weather radar electromagnetic interference data quality control method that overcomes or at least partially solves the above problems.
According to an aspect of the invention, there is provided a doppler weather radar electromagnetic interference data quality control method, the control method comprising:
step S1: obtaining Doppler weather radar base data, extracting radial reflectivity data, and recording the radial reflectivity data as ith radial data, wherein the radial data are one-dimensional data and are arranged from near to far according to the distance from a radar station to the farthest detection distance, and the unit is dBz;
step S2: dividing the ith radial data into one section of every P distance databases according to the distance sequence, and calculating a radial continuous distribution index RD;
step S3: extracting the ith radial data as diagnostic data n by using an interception methodi；
Step S4: calculating the number of diagnosesAccording to niThe correlation coefficient r with the diagnostic function Y is calculated by the formula:
wherein Cov represents covariance and Var represents variance;
step S5: when RD > a is met and r > b is met, determining the ith radial data as electromagnetic interference data, wherein a and b are set artificially, a belongs to [0,1], b belongs to [ 1,1 ];
step S6: and repeating the steps S1 to S5, judging whether each piece of radial data of the Doppler weather radar base data is electromagnetic interference data, and if so, removing the radial data to perform quality control.
Optionally, in step S2, P is 10, and the radar is divided into one segment every 10 distance bins in the distance order.
Optionally, in step S2, the radial continuous distribution index RD is calculated according to equation (1) (2):
wherein D is the total distance bank number of radar scanning, Q is the number of distance bank segments, pjIs the j-th data, if pjIncluding reflectivity data, then pj1, otherwise pj＝0。
Optionally, the intercepting method specifically includes: calculating the position of the distance base where the minimum value of the reflectivity in the distance base from the radar station 200 is located, and taking the position as the position of the minimum distance base;
intercepting data from the minimum distance library position to the farthest distance library.
Optionally, the formula for calculating the diagnostic function Y is formula (3):
Y＝logm(X),X＝[1,2,3,…,d-1,d] (3)
wherein X is a one-dimensional array and d is diagnostic data niM is the base of the logarithm.
Optionally, in step S5, when a takes a value of 0.8, b takes a value of 0.8, and RD >0.8 is satisfied, and r >0.8, it is determined that the ith radial data is radial electromagnetic interference data.
The invention provides a Doppler weather radar electromagnetic interference data quality control method, which comprises the following steps: the method comprises the steps of identifying that the radial reflectivity echoes are uniformly distributed along with the distance by dividing multiple sections of radial data, constructing a diagnosis function by using a mathematical statistic method, and jointly judging whether the radial reflectivity echoes are the radial electromagnetic interference echoes or not according to the radial reflectivity distribution condition and the correlation coefficient of the diagnosis function.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for controlling the quality of electromagnetic interference data of a doppler weather radar according to an embodiment of the present invention;
FIG. 2 is a diagram of a 0.48 elevation angle weather echo profile provided by an embodiment of the present invention;
FIG. 3 is a diagram of the post-quality control profile of the meteorological echo at an elevation angle of 0.48 degrees in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terms "comprises" and "comprising," and any variations thereof, in the present description and claims and drawings are intended to cover a non-exclusive inclusion, such as a list of steps or elements.
The technical solution of the present invention is further described in detail with reference to the accompanying drawings and embodiments.
As shown in the flowchart of fig. 1, in the method for controlling the quality of the doppler weather radar electromagnetic interference data according to the embodiment of the present invention, the control method includes:
step S1: reading the elevation angle reflectivity data of 0.48 degrees of a certain Doppler weather radar station at 09, 16 days in 2021, extracting certain azimuth angle radial data of the elevation angle reflectivity, and recording the azimuth angle radial data as the ith radial data, wherein the radial data is one-dimensional data and is arranged from near to far away from the radar station, and the unit is dBz.
The scanning mode of the Doppler weather radar is elevation angle-by-elevation angle and azimuth angle-by-azimuth angle scanning, during observation, the elevation angle is fixed, then radial data of about 360 azimuth angles are scanned at the fixed elevation angle, then the elevation angle is raised, and then azimuth angle scanning is carried out, and the elevation angle scanning set by all scanning modes is completed in sequence. The minimum scanning data unit of the doppler weather radar is a range bin, each range bin comprises one data point, for the data used in this embodiment, the scanning radius is 230km, the spatial resolution is 250m, and each piece of radial data comprises 960 range bins.
Step S2: dividing every P distance banks into one segment according to the distance sequence, wherein P is 10, namely dividing every 10 distance banks into one segment according to the distance sequence of the radar, and calculating a radial continuous distribution index RD according to the formula (1) and the formula (2):
wherein D represents the total distance library number of radar scanning, and each radial data of the case data has 960 distance libraries. Q is the number of distance bank segments, and is divided into 96 distance bank segments, pjIs the j-th data, if pjIncluding reflectivity data, then pj1, otherwise pj＝0。
The electromagnetic interference echo is not always valued from the radar station to the farthest distance library, some electromagnetic interference echoes are in discrete intermittent distribution in the radial direction, data are segmented according to the distance library, and electromagnetic interference echo omission caused by intermittent distribution can be effectively avoided.
Step S3: intercepting the diagnostic data by an interception method, calculating the position of a distance bank where the minimum value of the reflectivity is located in the distance bank from the radar station 200 to the base, and intercepting the data from the distance bank to the farthest distance bank as the diagnostic data ni。
The non-meteorological echoes in the weather radar reflectivity include clear sky echoes besides electromagnetic interference echoes, and the large-area clear sky echoes cause failure of a diagnosis function, so that the influence of the clear sky echoes on judgment of the electromagnetic interference echoes needs to be reduced by an interception method.
Step S4: calculating diagnostic data niThe correlation coefficient r with the diagnostic function Y is calculated by the formula:
cov denotes covariance, Var denotes variance;
the formula for the calculation of the diagnostic function Y is formula (3):
Y＝logm(x),x∈[1,d] (3)
wherein x is a real number and d is diagnostic data niM is the base of the logarithm. Taking m ═ e, equation (3) can also be written as:
Y＝loge(x)＝ln(x)
step S5: when RD >0.8 and r >0.8 are satisfied, the ith radial data is determined to be electromagnetic interference data.
Step S6: and repeating the steps S1 to S4, judging whether each azimuth radial data of each radar elevation is electromagnetic interference data, if so, performing quality control, and removing the corresponding radial data.
The distribution of the 0.48 degree elevation angle reflectivity of the original Doppler radar is shown in figure 2, and the distribution of the 0.48 degree elevation angle reflectivity after the electromagnetic interference quality control is shown in figure 3. The invention has better recognition and quality control effects on the electromagnetic interference distributed in the radial direction, and can eliminate the judgment interference of clear sky echo and ground object echo on the electromagnetic interference echo.
Has the advantages that: the method identifies that the radial reflectivity echoes uniformly distributed along with the distance exist in the radial direction by dividing multiple sections of radial data, constructs a diagnosis function by using a mathematical statistic method, and judges whether the radial reflectivity echoes are radial electromagnetic interference echoes or not according to the radial reflectivity distribution condition and the correlation coefficient of the diagnosis function in a combined manner.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. A Doppler weather radar electromagnetic interference data quality control method is characterized by comprising the following steps:
step S1: obtaining Doppler weather radar base data, extracting radial reflectivity data, and recording the radial reflectivity data as ith radial data, wherein the radial data are one-dimensional data and are arranged from near to far according to the distance from a radar station to the farthest detection distance, and the unit is dBz;
step S2: dividing the ith radial data into one section of every P distance databases according to the distance sequence, and calculating a radial continuous distribution index RD;
step S3: extracting the ith radial data as diagnostic data n by using an interception methodi；
Step S4: calculating diagnostic data niThe correlation coefficient r with the diagnostic function Y is calculated by the formula:
wherein Cov represents covariance and Var represents variance;
step S5: when RD > a is met and r > b is met, determining the ith radial data as electromagnetic interference data, wherein a and b are set artificially, a belongs to [0,1], b belongs to [ 1,1 ];
step S6: and repeating the steps S1 to S5, judging whether each piece of radial data of the Doppler weather radar base data is electromagnetic interference data, and if so, removing the radial data to perform quality control.
2. The method for controlling the quality of the electromagnetic interference data of the doppler weather radar as claimed in claim 1, wherein in step S2, P is 10, and the radar is divided into one segment for each 10 distance bins in the distance sequence.
3. The method of claim 1, wherein in step S2, the radial continuous distribution index RD is calculated according to equation (1) (2):
wherein D is the total distance bank number of radar scanning, Q is the number of distance bank segments, pjIs the j-th data, if pjIncluding reflectivity data, then pj1, otherwise pj＝0。
4. The method for controlling the quality of the electromagnetic interference data of the doppler weather radar as claimed in claim 1, wherein the intercepting method specifically comprises: calculating the position of the distance base where the minimum value of the reflectivity in the distance base from the radar station 200 is located, and taking the position as the position of the minimum distance base;
intercepting data from the minimum distance library position to the farthest distance library.
5. The method for controlling the quality of the electromagnetic interference data of the doppler weather radar as claimed in claim 1, wherein the formula for calculating the diagnosis function Y is shown as formula (3):
Y＝logm(X),X＝[1,2,3,…,d-1,d] (3)
wherein X is a one-dimensional array and d is diagnostic data niM is the base of the logarithm.
6. The method of claim 1, wherein in step S5, when a takes a value of 0.8, b takes a value of 0.8, and RD >0.8 is satisfied, and r >0.8, it is determined that the ith radial data is radial electromagnetic interference data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115686377A (en) * | 2022-11-17 | 2023-02-03 | 福建省气象局 | Weather radar data format storage and reading method |
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| US20090066563A1 (en) * | 2005-05-19 | 2009-03-12 | Ronald Hannesen | Method and Apparatus for Correcting Weather data, and Computer Program Product |
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| CN106483512A (en) * | 2016-12-08 | 2017-03-08 | 南京理工大学 | A kind of general multichannel distributed object analogue echoes method and if system |
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