CN109188439A - A kind of Artificial Hail Suppression early stage hail cloud recognition technical method and system - Google Patents
A kind of Artificial Hail Suppression early stage hail cloud recognition technical method and system Download PDFInfo
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- G—PHYSICS
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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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
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- G—PHYSICS
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- G01W—METEOROLOGY
- G01W1/00—Meteorology
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- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract
This application provides a kind of Artificial Hail Suppression early stage Hail Cloud By Using Weather recognition methods and systems, wherein the described method includes: obtaining the Doppler radar echo of storm monomer；When reflectivity factor, that is, radar echo intensity of the storm monomer is greater than or equal to 19dBz, and strong echo centre-height is greater than or equal to of that month hail cloud discriminant criterion, it is determined that the storm monomer is early stage Hail Cloud By Using Weather.Technical scheme is based on hail Clouds theory, only by reflectivity factor (i.e. radar echo intensity) and by force, the two key parameters of echo centre-height identify storm monomer, due to there is no the interference of non-key parameter in identification process, so that more targeted to the identification of early stage Hail Cloud By Using Weather, can solve the prior art to early stage Hail Cloud By Using Weather identification inaccuracy, not in time the problem of, the science and comprehensive benefit for substantially increasing Artificial Hail Suppression operation, hail disaster is preferably minimized.
Description
Technical field
The present invention relates to weather modification fields, more particularly to a kind of technology of Artificial Hail Suppression early stage Hail Cloud By Using Weather identification
Method.
Background technique
China is hail disaster one of the countries with the most serious ... in the world, and Artificial Hail Suppression, which is that prevent and reduce natural disasters one is important, arranges
Apply, EARLY RECOGNITION Hail Cloud By Using Weather and to the Hail Cloud By Using Weather of the early stage of development implement operation be the key that Artificial Hail Suppression success or failure.
With the rapid development of China New Generation Weather Radar technology, hail shooting mechanism and Artificial Hail Suppression technical research are all achieved newly
Progress, while researcher summarizes the hail suppression decision index system of different radar parameters, improves sleet-proof work to a certain extent
Scientific and technological level, but in Artificial Hail Suppression operation there are still to Hail Cloud By Using Weather identification inaccuracy, not in time the problem of.For example, people
Often by thundercloud as Hail Cloud By Using Weather operation, or the Hail Cloud By Using Weather operation to hail shooting is had begun, cause hail suppression invalid or drops significantly
Low operation effectiveness not only causes the loss and waste of human and material resources, water resource, also can not effectively prevent hail disaster.
Summary of the invention
The present invention provides a kind of technical method of Hail Cloud By Using Weather EARLY RECOGNITION, to solve in the prior art to the identification of Hail Cloud By Using Weather
Inaccuracy, technical problem not in time lay the foundation for science decision and effective hail suppression, greatly improve the section of Artificial Hail Suppression operation
The property learned and comprehensive benefit mitigate to greatest extent and reduce hail disaster.
To solve the above-mentioned problems, the invention discloses a kind of Artificial Hail Suppression early stage Hail Cloud By Using Weather recognition methods, comprising: obtains
The Doppler radar echo of storm monomer；When reflectivity factor, that is, radar echo intensity of the storm monomer is greater than or equal to
19dBz, and when strong echo centre-height is greater than or equal to of that month hail cloud discriminant criterion, it is determined that the storm monomer is early stage ice
Hail cloud.
Compared with prior art, the present invention includes the following advantages:
Technical scheme is based on hail Clouds theory, only passes through reflectivity factor (i.e. radar echo intensity) and strong time
The two key parameters of wave centre-height identify storm monomer.Due to there is no the dry of non-key parameter in identification process
Disturb so that more targeted to the identification of early stage Hail Cloud By Using Weather, can solve the prior art to early stage Hail Cloud By Using Weather identification inaccuracy,
Not in time the problem of, substantially increases the science and comprehensive benefit of Artificial Hail Suppression operation, hail disaster is preferably minimized.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can obtain according to these attached drawings
The method of obtaining obtains the attached drawing of other radar storm cell echos.
Fig. 1 shows a kind of step flow chart of early stage Hail Cloud By Using Weather recognition methods of one embodiment of the application offer；
Fig. 2 shows a kind of step processes of the early stage Hail Cloud By Using Weather recognition methods of optimization of another embodiment offer of the application
Figure；
Fig. 3 shows the big Sichuan village early stage Hail Cloud By Using Weather radar return PHI Gao Xiante in 13:27 points of Dalian on October 13rd, 2006
Levy schematic diagram；
Fig. 4 shows the Dalian 13:27 Luan Diancun thundercloud radar return PHI high on October 13rd, 2006 and shows feature signal
Figure；
Fig. 5 shows a kind of structural block diagram of early stage Hail Cloud By Using Weather identifying system of one embodiment of the application offer.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, below with reference to example figure and tool
The present invention is described in further detail for body embodiment.
Artificial Hail Suppression is using artificial method to there may be the cloud layers of hail to apply shadow in active convective cloud
It rings, prevents the hail embryo in cloud from long great achievement hail, or small ice pellets is made just to drop to ground before becoming heavy hail.Its
In, the selection of work opportunity is most important to the success or failure of sleet-proof work.According to hail suppression Catalysis Principles, the sleet-proof work best opportunity is answered
Selection is at hail cloud advolution initial stage, so the pass of early stage Hail Cloud By Using Weather accurately identified and identification is effective sleet-proof work in time
Key.
The space structure for understanding Hail Cloud By Using Weather is the basis of early stage Hail Cloud By Using Weather identification and sleet-proof work, and weather radar is to understand
The most important technological means of cloud body structure is current manual's hail-proof rain-increasing operating decision and the essential important detection work of commander
Tool.As China New Generation Weather Radar in the universal of the whole nation and uses, important skill is provided for artificial sleet-proof work decision and commander
Art support, but in terms of the key link of Artificial Hail Suppression, that is, early stage Hail Cloud By Using Weather identification there are still to key parameter index without answering
With, rather than the problem that important parameter selecting index is excessive, since insignificant parameter index can be to the recognition result of early stage Hail Cloud By Using Weather
Very big interference is caused, causes in the identification and sleet-proof work decision of early stage Hail Cloud By Using Weather that there are still certain blindness.
In order to solve present in Artificial Hail Suppression operation to early stage hail cloud recognition not in time, inaccuracy, and to early stage ice
Hail cloud recognition key parameter index is not applied, rather than the problem that important parameter selecting index is excessive, and the present embodiment is based on hail cloud
Basic theories differentiates strong echo centre-height according to weather radar PHI echo height is aobvious.By to Daliang City's Doppler radar in recent years
The GPR Detection Data data of the 67 hail shooting examples observed carries out the processing of PUP software, it is determined that spring, summer, hail shooting phase in autumn
Between the strong echo centre-height of radar and reflectivity factor be identify early stage Hail Cloud By Using Weather two core feature parameters, study and build
Dalian Area operation Hail Cloud By Using Weather early stage discriminant criterion has been found, has proposed a kind of early stage Hail Cloud By Using Weather recognition methods, specific technical solution is such as
Under:
In the easy Growth season of hail shooting, the Doppler radar echo of storm monomer is obtained according to hail suppression command system first, when
Doppler radar storm cell echo intensity is greater than or equal to 19dBz, and strong echo centre-height is greater than or equal to of that month hail cloud
When discriminant criterion, then the storm monomer is determined as early stage Hail Cloud By Using Weather and operation hail cloud.It shows referring to Fig.1 provided in this embodiment
A kind of step flow chart of early stage Hail Cloud By Using Weather identification technology method.
Wherein, storm monomer, that is, convective cloud, including thundercloud and Hail Cloud By Using Weather.
Radar echo intensity, that is, storm monomer reflectivity factor, can be determined by Doppler radar echo data；It is strong to return
Wave centre-height can be determined according to the aobvious analysis of radar PHI echo height.
Of that month hail cloud discriminant criterion is predefined by statistics and analysis to history detection data, different regions, no
Hail cloud discriminant criterion with month may be different.For example, the of that month hail cloud discriminant criterion under different months is such as Dalian Area
Shown in table 1.By referring to the of that month hail cloud differentiation that statistics and analysis obtains respectively under months different during spring, summer, autumn hail shooting
Mark, and then improve the accuracy of early stage Hail Cloud By Using Weather identification.
The Hail Cloud By Using Weather early stage discriminant criterion in 1 Dalian of table difference month
The present embodiment is based on hail Clouds theory, i.e., strong echo centre-height is located at the basic conception on cloud body top, in conjunction with Dalian
Many years hail suppression practice, establish based on two important features of the Doppler Weather Radar factor and strong echo centre-height because
The early stage hail cloud recognition method of son.Strong echo centre-height is judged using the PHI echo height of China New Generation Weather Radar is aobvious, that is, is passed through
Two key parameters of radar echo intensity and strong echo centre-height identify radar storm monomer, due in identification process
In there is no the interference of non-key parameter so that more targeted to early stage hail cloud recognition, the prior art can be solved to early stage ice
Hail cloud recognition inaccuracy, not in time the problem of, solve the skill for carrying out early identification, early operation in Artificial Hail Suppression operation to Hail Cloud By Using Weather
Art problem lays the foundation for science decision and effective hail suppression, substantially increases the science and comprehensive benefit of Artificial Hail Suppression operation,
And hail disaster is preferably minimized.
In practical applications, after determining that radar storm monomer is early stage Hail Cloud By Using Weather, above-mentioned early stage Hail Cloud By Using Weather identification
Method can also include:
Step 103: when early stage Hail Cloud By Using Weather is located in the effective range of sleet-proof work point, early stage Hail Cloud By Using Weather can be implemented
Sleet-proof work.It, should be real immediately namely when early stage Hail Cloud By Using Weather moves into the effective range of sleet-proof work point antiaircraft gun (or rocket)
Apply sleet-proof work.
Before above-mentioned steps 103, above-mentioned early stage Hail Cloud By Using Weather recognition methods can also include:
Step 201: determining the time-parameters for obtaining Doppler radar echo, and determine that of that month hail cloud is sentenced according to time-parameters
Other index.Referring to a kind of flow diagram of the early stage Hail Cloud By Using Weather recognition methods of the optimization provided Fig. 2 shows another embodiment.
For example, can determine when the time for obtaining Doppler radar echo is July 15 and obtain Doppler radar echo
Time-parameters are July.According to table 1, the of that month hail cloud discriminant criterion for transferring July is 4.9km, then again to the strong of radar return
Echo centre-height is compared with the of that month hail cloud discriminant criterion 4.9km transferred.
In order to make it easy to understand, below by the primary practical hail shooting and rainfall-augment process pair of Dalian Area on October 13rd, 2006
Above-mentioned early stage Hail Cloud By Using Weather recognition methods is described in detail.The synoptic process is the typical Northeast Cold Vortex hail shooting weather in Dalian Area
Continuing several hours to afternoon at noon, being generated by local thermal convection occur in process, hail shooting.Pass through Dalian Doppler radar
Real-time monitoring every six minutes primary radar bodies obtained sweep data and Daliang City's Artificial Hail Suppression decision-making and directing system decision is sentenced
It does not analyze, when 13:27 in afternoon, system outputs the operation early warning to radar storm monomer in real time.
By carrying out the aobvious analysis of PHI echo height to radar storm monomer, the thunder of the storm monomer of big Sichuan village output is found
It is 35dBz up to echo strength, is greater than echo strength 19dBz, and strong echo centre-height reaches 5.8km, as the lower right corner is hung down in Fig. 3
Shown in straight sectional view, much higher than the of that month hail cloud discriminant criterion 4.1km in October, accordingly, it is determined that the storm monomer is early stage ice
Hail cloud.The commanding of shadow command centre of city notifies that nearby sleet-proof work point carries out operation preparation immediately, when the Hail Cloud By Using Weather returns
When wave moves into sleet-proof work point effective range, after obtaining airspace reply, effective sleet-proof work is commanded in real time.
In addition, carry out the aobvious analysis of PHI high to the storm monomer radar return in the village Luan Dian, discovery storm cell echo it is strong in
Heart height is about 2.5km, as shown in the vertical cross section in the lower right corner in Fig. 4, far below the of that month hail cloud discriminant criterion in October
4.1km, thus may determine that the storm monomer not instead of early stage hail cloud, thundercloud (according to thundercloud feature decision index),
Job instruction is passed to setting by commanding, after obtaining airspace reply, commands artificial snowfall operation in real time.
Practical business application in, when meteorological observatory issue 24 is small in short-term when there is thunder shower or hail weather to give the correct time in advance, command
Personnel are monitored in real time first according to weather radar and the service operation Discrimination Radar storm monomer of Artificial Hail Suppression decision-making and directing system,
Radar storm monomer is precisely identified by the early stage Hail Cloud By Using Weather recognition methods of above-mentioned offer again.Such as when Artificial Hail Suppression is determined
When the output of plan command system alarms to the operation early warning of storm monomer and decision, to avoid misrepresenting deliberately and failing to report for computer system,
Commanding, which should do, manually corrects (human-computer dialogue), i.e., is done further by above-mentioned early stage Hail Cloud By Using Weather recognition methods to storm monomer
The aobvious analysis of radar vertical section echo height, accurately judges that the property of storm monomer is early stage Hail Cloud By Using Weather according to strong echo centre-height
Or thundercloud.
If the strong echo centre-height that storm monomer radar PHI high shows echo is greater than or equal to of that month hail cloud discriminant criterion,
And reflectivity factor (or radar echo intensity) be more than or equal to 19dBz when, can determine the radar storm monomer be early stage hail cloud,
Commanding should notify related setting to carry out sleet-proof work preparation immediately, real according to job parameter after obtaining airspace reply
When command sleet-proof work；If the strong center height that radar storm monomer PHI high shows echo is unsatisfactory for These parameters, it can determine that
The storm monomer is thundercloud, and commanding can command in real time artificial rain operation according to thundercloud operating condition and parameter.
Early stage Hail Cloud By Using Weather recognition methods provided in this embodiment is based on hail Clouds theory, only (i.e. by reflectivity factor
Radar echo intensity) and strong the two key parameters of echo centre-height storm monomer is identified, due to identifying
There is no the interference of non-key parameter in journey, so that it is more targeted to the identification of early stage Hail Cloud By Using Weather, it can solve the prior art
To early stage Hail Cloud By Using Weather identification inaccuracy, not in time the problem of, the double effects that Artificial Hail Suppression increases rain are played, science decision and to have
Effect hail suppression lays the foundation, and substantially increases the science and comprehensive benefit of Artificial Hail Suppression operation, hail disaster is preferably minimized.
Another embodiment of the application also provides a kind of Artificial Hail Suppression early stage Hail Cloud By Using Weather identifying system, referring to Fig. 5, can wrap
It includes:
Radar return obtains module 501, for obtaining the Doppler radar echo of storm monomer；
Early stage hail cloud recognition module 502 is greater than or waits for reflectivity factor, that is, radar echo intensity when storm monomer
In 19dBz, and when strong echo centre-height is greater than or equal to of that month hail cloud discriminant criterion, it is determined that storm monomer is early stage hail
Cloud.
Preferably, referring to Fig. 5, above-mentioned early stage Hail Cloud By Using Weather identifying system can also include:
Operation execution module 503, when for being located in the effective range of sleet-proof work point when early stage Hail Cloud By Using Weather, to early stage ice
Hail mysorethorn applies sleet-proof work.
Preferably, referring to Fig. 5, above-mentioned early stage Hail Cloud By Using Weather identifying system can also include:
Index determining module 504, for being greater than or equal in reflectivity factor, that is, radar echo intensity when storm monomer
19dBz, and when strong echo centre-height is greater than or equal to of that month hail cloud discriminant criterion, it is determined that storm monomer is early stage Hail Cloud By Using Weather
Before, the time-parameters for obtaining Doppler radar echo are determined, and determine of that month hail cloud discriminant criterion according to time-parameters.
Preferably, when time-parameters are April, May, June, July, August, September, October, corresponding this month hail cloud differentiation refers to
Mark is respectively 4.1km, 4.3km, 4.9km, 5.1km, 4.3km, 4.1km, 3.9km.
Early stage Hail Cloud By Using Weather identifying system provided in this embodiment, which can be realized, to be realized in the embodiment of the method for Fig. 1 to Fig. 2
Each process, to avoid repeating, which is not described herein again.
Early stage Hail Cloud By Using Weather identifying system provided in this embodiment, including echo obtain module and hail cloud recognition module, are based on
Hail Clouds theory, hail cloud recognition module only pass through reflectivity factor (i.e. radar echo intensity) and strong echo centre-height this two
A key parameter identifies storm monomer, due to not having the interference of non-key parameter in identification process, so as to early stage
The identification of Hail Cloud By Using Weather is more targeted, can solve the prior art to early stage Hail Cloud By Using Weather identification inaccuracy, not in time the problem of,
The science and comprehensive benefit for substantially increasing Artificial Hail Suppression operation, hail disaster is preferably minimized.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiments, the same or similar parts between the embodiments can be referred to each other.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, commodity or the equipment that include a series of elements not only include that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, commodity or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in process, method, commodity or the equipment for including the element.
Detailed Jie has been carried out to a kind of Artificial Hail Suppression early stage Hail Cloud By Using Weather recognition methods provided by the present invention and system above
It continues, used herein a specific example illustrates the principle and implementation of the invention, and the explanation of above embodiments is only
It is to be used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, according to this hair
Bright thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not manage
Solution is limitation of the present invention.
Claims (8)
1. a kind of Artificial Hail Suppression early stage Hail Cloud By Using Weather recognition methods characterized by comprising
Obtain the Doppler radar echo of storm monomer；
When reflectivity factor, that is, radar echo intensity of the storm monomer is greater than or equal to 19dBz, and strong echo centre-height
When more than or equal to of that month hail cloud discriminant criterion, it is determined that the storm monomer is early stage Hail Cloud By Using Weather.
2. the method according to claim 1, wherein the method also includes:
When the early stage Hail Cloud By Using Weather is located in the effective range of sleet-proof work point, the early stage Hail Cloud By Using Weather should be implemented to prevent immediately
Hail operation.
3. method according to claim 1 or 2, which is characterized in that when reflectivity factor, that is, radar of the storm monomer
Echo strength is greater than or equal to 19dBz, and when strong echo centre-height is greater than or equal to of that month hail cloud discriminant criterion, determine described in
Before the step of storm monomer is early stage Hail Cloud By Using Weather, further includes:
It determines the time-parameters for obtaining the Doppler radar echo, and determines that the of that month hail cloud is sentenced according to the time-parameters
Other index.
4. according to the method described in claim 3, it is characterized in that, the time-parameters are April, May, June, July, August, 9
Month, October when, it is corresponding this month hail cloud discriminant criterion be respectively 4.1km, 4.3km, 4.9km, 5.1km, 4.3km, 4.1km,
3.9km。
5. a kind of Artificial Hail Suppression early stage Hail Cloud By Using Weather identifying system characterized by comprising
Radar return obtains module, for obtaining storm monomer Doppler radar echo；
Early stage hail cloud recognition module is greater than or equal to for reflectivity factor, that is, radar echo intensity when the storm monomer
19dBz, and when strong echo centre-height is greater than or equal to of that month hail cloud discriminant criterion, it is determined that the storm monomer is early stage ice
Hail cloud.
6. system according to claim 5, which is characterized in that the system also includes:
Operation execution module is used for when the early stage Hail Cloud By Using Weather is located in sleet-proof work point effective range, to the early stage ice
Hail cloud should implement sleet-proof work immediately.
7. system according to claim 5 or 6, which is characterized in that the system also includes:
Index determining module, for determining the time-parameters for obtaining the Doppler radar echo, and according to the time-parameters
Determine the of that month hail cloud discriminant criterion.
8. system according to claim 7, which is characterized in that the time-parameters are April, May, June, July, August, 9
Month, October when, it is corresponding this month hail cloud discriminant criterion be respectively 4.1km, 4.3km, 4.9km, 5.1km, 4.3km, 4.1km,
3.9km。
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