CN102609725A - Method for extracting boundary layer convergence line area in meteorology - Google Patents
Method for extracting boundary layer convergence line area in meteorology Download PDFInfo
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- CN102609725A CN102609725A CN2012100389006A CN201210038900A CN102609725A CN 102609725 A CN102609725 A CN 102609725A CN 2012100389006 A CN2012100389006 A CN 2012100389006A CN 201210038900 A CN201210038900 A CN 201210038900A CN 102609725 A CN102609725 A CN 102609725A
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Abstract
The invention discloses a method for extracting a boundary layer convergence line area in meteorology. The method comprises the following steps: a pixel point, whose reflectance value belongs to a boundary layer convergence line value set, in a radar reflectivity graph is marked as a seed point; 8-neighbor area growth is carried out on the seed point in the present detection window according to the preset condition, when the reflectance value of a growth point is more than or equal to a reflectance value threshold value and meets a judgment criterion, the convergence line area is formed by the growth point and the seed point, and the seed point is marked; an intersection point of a partial zonal area and the current detection window is used as the geometric center of the next detection window; the next detection window moves along an undetected area, until a complete zonal area is formed by a plurality of partial zonal areas and all seed points are marked; the geometric centers of various detection windows in the complete zonal area are connected, so as to acquire a central connecting line which is used as an area skeleton line of the complete zonal area; and the boundary layer convergence line area with meteorological significance is identified in the complete zonal area by utilizing zonal degree and a convection wind field criterion.
Description
Technical field
The present invention relates to meteorological field, particularly a kind of meteorology that is used for extracts the regional method of the boundary layer asymptote of convergence.
Background technology
Strong convective weather brings tremendous influence for the people's social life, in the early stage that strong convective weather forms, can exist in the weather system some indication disasters the meteorology characteristic---asymptote of convergence zone, boundary layer is one of important characteristic.Along with the development of computer science, according to the form development of strong convective weather, can be by the basic theories of pattern-recognition and the correlation technique of Flame Image Process, the forecast that makes strong storm is more effectively with accurate.When reducing forecast personnel subjectivity, improve the accuracy rate of weather forecast, and the theoretical foundation of prediction is provided for the forecast personnel.General all corresponding the asymptote of convergence in boundary layer of the weak arrowband echo (Narrow-Band Echo) that detects on the radar.Many discovering, the asymptote of convergence zone, boundary layer of large scale plays an important role in the generating process of decision strong storm, and it is relevant with time, position that storm takes place.
U.S. expert has proposed asymptote of convergence zone, boundary layer and in the generative process of thunderstorm, has played an important role in the work of research strong convective weather nowcasting.The boundary layer asymptote of convergence zone performance that causes thunderstorm is various various, and it possibly be the strong asymptote of convergence zone, boundary layer of new of producing; It also possibly be the boundary layer asymptote of convergence zone that continues and the mutual motion effect of updraft; Also possibly be that collision each other takes place asymptote of convergence zone, many boundary layers; Or asymptote of convergence zone, boundary layer is to the humidification of precipitation cloud layer; The perhaps interaction of topographic conditions such as boundary layer asymptote of convergence zone and local mountain region.Generation position utilizing radar Doppler to demarcate local storm plays an important role, local storm's development of constantly growing, and the position of the formation and the existence thereof of following storm might be predicted in asymptote of convergence zone, boundary layer.In addition, the boundary layer is the transitional zone between ground and atmosphere, plays rubbing action.The steam that ground is come is the important source of atmospheric water, and sensible heat, latent heat and radiation heat flux that ground is come are the important thermals source of atmosphere.Therefore, the extraction to boundary layer asymptote of convergence zone just has very important Research Significance.
The inventor finds to exist at least in the prior art following shortcoming and defect in realizing process of the present invention:
When extracting boundary layer asymptote of convergence zone from meteorology, prior art handles that not only speed is slower for bulk data; Influenced the forecast time; Possibly also can influence forecast speed if deal with data is too huge; Bring bad consequence, and have the low problem of accuracy rate, and then wrong report can occur and situation such as fail to report.
Summary of the invention
The invention provides a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for; This method has realized from meteorology, extracting faster asymptote of convergence zone, boundary layer; And accuracy rate is very high, and the problem that has solved wrong report to a certain extent and failed to report sees hereinafter for details and describes:
A kind of meteorology that is used for extracts the regional method of the boundary layer asymptote of convergence, said method comprising the steps of:
(1) shape and the yardstick of design detecting window;
(2) reflectance value R (p) among the radar reflectivity figure is belonged to boundary layer asymptote of convergence value set R
ΩPixel be labeled as seed points, i.e. R (p) ∈ R
Ω, R
Ω={ 15,20,25,30,35}dbz is labeled as background colour with the pixel p that does not satisfy condition, execution in step (3);
(3) with pre-conditioned said seed points is carried out 8 neighborhood region growings in said current detecting window, whether the reflectance value R (η) that judges growing point in the said detecting window is more than or equal to reflectivity threshold value T
r, i.e. R (η)>=T
r, and satisfy judgment criterion, if then constitute local belt-like zone Ω, and the seed points in the said current detecting window carried out mark, execution in step (4) by said growing point and seed points; If, do not upgrade reflectivity threshold value T
r, execution in step (3) again;
(4) intersection point with said local belt-like zone Ω and said current detecting window is the geometric center of next detecting window; Move on said next detecting window edge not search coverage; Up to constituting complete belt-like zone by a plurality of said local belt-like zone Ω; To unlabelled seed points execution in step again (3), all seed points in said radar reflectivity figure all are labeled;
(5) geometric center of each detecting window in the said complete belt-like zone is connected obtain the line of centres; The said line of centres is described as the skeleton line of said complete belt-like zone; The asymptote of convergence zone, boundary layer that utilizes banded degree criterion and convection current wind field criterion in all said complete belt-like zones, to identify to have Meteorological Significance, flow process finishes.
Said renewal reflectivity threshold value T in the step (3)
rBe specially:
T
rValue for the set R
ΩIn element, T at first
rValue be 35, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 30; T
rValue be 30, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 25; T
rValue be 25, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 20; T
rValue be 20, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 15; T
rValue be 15, when not satisfying said judgment criterion, according to said pre-conditioned to next seed points execution in step (3).
Said judgment criterion is specially:
Condition 1: merchant＜50% of the area of said local belt-like zone Ω and the area of detecting window;
Condition 2: the number of connected domain is more than or equal to 2 in the detecting window.
Said banded degree criterion is specially:
The merchant of the total length of the ultimate range of any point-to-point transmission and said complete belt-like zone skeleton line is greater than 0.5 on the complete belt-like zone skeleton line.
Said convection current wind field criterion is specially:
The average radial wind speed difference of complete belt-like zone skeleton line both sides is greater than 10m/s.
The beneficial effect of technical scheme provided by the invention is:
The invention provides a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for; This method detects asymptote of convergence zone, boundary layer through detecting window from meteorology; This method has realized from meteorology, extracting faster asymptote of convergence zone, boundary layer; And accuracy rate is very high, and the problem that has solved wrong report to a certain extent and failed to report has satisfied the needs in the practical application.
Description of drawings
Fig. 1 is a kind of process flow diagram that meteorology extracts the method in asymptote of convergence zone, boundary layer that is used for provided by the invention;
Fig. 2 is the synoptic diagram in asymptote of convergence zone, boundary layer provided by the invention;
Fig. 3 is the synoptic diagram of laddering reflectivity threshold value in the detecting window provided by the invention;
Fig. 4 is the synoptic diagram of local banded region decision criterion in the detecting window provided by the invention;
Fig. 5 is the synoptic diagram at detecting window provided by the invention center and next detecting window center; Fig. 6 is the synoptic diagram of detecting window movement locus provided by the invention;
Fig. 7 is the belt-like zone skeleton line synoptic diagram that does not meet banded degree criterion provided by the invention;
Fig. 8 is a convection current wind field criterion synoptic diagram provided by the invention.
Embodiment
For making the object of the invention, technical scheme and advantage clearer, embodiment of the present invention is done to describe in detail further below in conjunction with accompanying drawing.
In order to realize from meteorology, extracting asymptote of convergence zone, boundary layer faster; Improve accuracy rate, the problem that solves wrong report and fail to report is referring to Fig. 1; The embodiment of the invention provides a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for, and sees hereinafter for details and describes:
101: the shape and the yardstick of design detecting window;
Wherein, when specifically realizing, the shape of detecting window can be square and rectangle etc., and the embodiment of the invention does not limit this.
Further, in order to improve arithmetic speed and not receive the restriction of asymptote of convergence direction, the preferred detecting window of the embodiment of the invention be shaped as square, the embodiment of the invention is that example describes with the square.
Wherein, the embodiment of the invention does not limit the size of detecting window, and for example when detecting window was square, can select the length of side was 11, and the size of detecting window is big more, and detection speed is fast more, but rate of failing to report can increase; On the contrary, the size of detecting window is more little, and detection speed is slow more, but rate of false alarm can increase, and when specifically realizing, sets according to the needs in the practical application.
102: reflectance value R (p) among the radar reflectivity figure is belonged to boundary layer asymptote of convergence value set R
ΩPixel be labeled as seed points, i.e. R (p) ∈ R
Ω, R
Ω={ 15,20,25,30,35}dbz is labeled as background colour with the pixel p that does not satisfy condition, execution in step 103;
Wherein, pixel p is labeled as background colour is specially: the rgb value of pixel p is set to zero, is black.
Wherein, referring to Fig. 2, the black surround area marking boundary layer asymptote of convergence zone, like the green lines in the black surround among the figure.Article one, the reflectivity intensity level that exists on the boundary layer asymptote of convergence zone maybe be incomplete same, but major part is concentrated on 15,20,25,30 and 35 these several magnitude; Be reflected on the figure, just by the belt-like zone of five kinds of color showings of this five one magnitude representative.
103: with pre-conditioned seed points is carried out 8 neighborhood region growings (wherein, seed points is current detecting window center) in current detecting window, whether the reflectance value R (η) that judges growing point in the detecting window is more than or equal to reflectivity threshold value T
r, i.e. R (η)>=T
r, and satisfy judgment criterion, if then constitute asymptote of convergence zone Ω, and the seed points in the current detecting window carried out mark, execution in step 104 by growing point and seed points; If, do not upgrade reflectivity threshold value T
r, execution in step 103 again;
Wherein, referring to Fig. 3, A, B, C, D and E represent 35,30,25,20 and 15 reflectivity threshold value, T respectively
rValue for the set R
ΩIn element, upgrade reflectivity threshold value T
rBe specially: T at first
rValue be 35, when not satisfying judgment criterion, upgrade reflectivity threshold value T
rBe 30; T
rValue be 30, when not satisfying judgment criterion, upgrade reflectivity threshold value T
rBe 25; T
rValue be 25, when not satisfying judgment criterion, upgrade reflectivity threshold value T
rBe 20; T
rValue be 20, when not satisfying judgment criterion, upgrade reflectivity threshold value T
rBe 15; T
rValue be 15, when not satisfying judgment criterion, according to pre-conditioned to next seed points execution in step 103.
Referring to Fig. 3; First width of cloth figure represents the original image of detecting window, the image when second width of cloth figure representative is the reflectivity threshold value with 35dbz, the image when the 3rd width of cloth figure representative is the reflectivity threshold value with 30dbz; Image when the 4th width of cloth figure representative is the reflectivity threshold value with 25dbz; Form belt-like zone this moment, satisfied judgment criterion, and this detecting window detects and finishes.
Wherein, judgment criterion is specially:
Condition 1: merchant＜50% of the area of local belt-like zone Ω and the area of detecting window;
Condition 2: the number of connected domain is more than or equal to 2 in the detecting window.
Referring to Fig. 4, A, B, C satisfy condition 1 and condition 2 simultaneously, regard as local belt-like zone; C satisfies condition 2 but do not satisfy condition 1, does not regard as local belt-like zone; D satisfies condition 1 but do not satisfy condition 2, does not regard as local belt-like zone.
Wherein, pre-conditioned being specially: travel through all seed points sequentially, for example: begin to line by line scan etc. from the radar reflectivity figure upper left corner.
104: the intersection point with local belt-like zone Ω and current detecting window is the geometric center of next detecting window; Move on next detecting window edge not search coverage; Up to constituting complete belt-like zone by a plurality of local belt-like zone Ω; To unlabelled seed points execution in step again 103, all seed points in radar reflectivity figure all are labeled;
Wherein, referring to Fig. 5, square-shaped frame is current detecting window position, and the O point is the center of current detecting window, and the m point is the center of next detecting window.The great like this motion step-length of detecting window and the accuracy that belt-like zone is discerned accelerated referring to Fig. 6, described the track of detecting window motion in the process of exploring boundary layer asymptote of convergence belt-like zone.
105: the geometric center of each detecting window in the complete belt-like zone connected obtain the line of centres; The line of centres is described as the skeleton line of complete belt-like zone; The asymptote of convergence zone, boundary layer that utilizes banded degree criterion and convection current wind field criterion in all complete belt-like zones, to identify to have Meteorological Significance, flow process finishes.
Wherein, banded degree criterion is specially:
On the complete belt-like zone skeleton line arbitrarily the merchant of the distance of point-to-point transmission and the total length of complete belt-like zone skeleton line greater than 0.5.
Convection current wind field criterion is specially:
The average radial wind speed difference of complete belt-like zone skeleton line both sides is greater than 10m/s.
Wherein, Asymptote of convergence zone, boundary layer with Meteorological Significance is specially: if the belt-like zone that extracts had both satisfied the banded degree criterion and the convection current wind field criterion of banded regions; The skeleton line that is then extracted by belt-like zone is the boundary layer asymptote of convergence, and is meaningful to the prediction of storm, if do not satisfy then two criterions; Then not the boundary layer asymptote of convergence, just nonsensical to the prediction of storm.
Referring to Fig. 7, line a and line b do not meet banded degree criterion.
Referring to Fig. 8, the complete belt-like zone asymptote of convergence of white is superimposed on the radial velocity map.Asymptote of convergence upper left side, radial velocity is a negative value, wind is to the asymptote of convergence; Asymptote of convergence lower right side, radial velocity be on the occasion of, wind still blows to the asymptote of convergence; Asymptote of convergence both sides form the convection current wind field, meet convection current wind field judgment criterion.
Verify a kind of feasibility that is used for the method in asymptote of convergence zone, meteorology extraction boundary layer that the embodiment of the invention provides with a concrete test below, see hereinafter for details and describe:
To the reflectance map tested tissue, measure and to comprise assigning in 25 days 09: 29 June in 2005 that Tianjin weather bureau provides to assign to 14: 32, on July 11,2005 05: 30 to assign to 20: 01, on August 1,2006 09: 13 to assign to 12: 43, on August 2,2008 08: 30 and assign to 10: 24 grade radar datas and 10: 30, on August 5,2008 07: 06 like indivedual radar sequence basis data in Shangqiu, Fuyang, Hefei.Wherein: (1) has 5.73% asymptote of convergence zone, boundary layer undetected (leak and know), looks into its reason, finds that the reflectance value in these asymptote of convergence zones, boundary layer has been jumped out the R that the embodiment of the invention is set
ΩScope, suitably adjust threshold range, can further improve recall rate; (2) rate of false alarm in boundary layer asymptote of convergence zone is 15.73; Because these belt-like zones are not necessarily asymptote of convergence zone, boundary layer in some cases; They are some asymptote of convergence zones, pseudo-boundary layer; This method has satisfied the needs in the practical application with less than 6% leakage knowledge rate with less than 16% rate of false alarm.
In sum; The embodiment of the invention provides a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for; This method detects asymptote of convergence zone, boundary layer through detecting window from meteorology, this method has realized from meteorology, extracting asymptote of convergence zone, boundary layer faster, and accuracy rate is very high; Solve wrong report to a certain extent and leaked the problem of knowing, satisfied the needs in the practical application.
It will be appreciated by those skilled in the art that accompanying drawing is the synoptic diagram of a preferred embodiment, the invention described above embodiment sequence number is not represented the quality of embodiment just to description.
The above is merely preferred embodiment of the present invention, and is in order to restriction the present invention, not all within spirit of the present invention and principle, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (5)
1. one kind is used for the method that meteorology extracts asymptote of convergence zone, boundary layer, it is characterized in that, said method comprising the steps of:
(1) shape and the yardstick of design detecting window;
(2) reflectance value R (p) among the radar reflectivity figure is belonged to boundary layer asymptote of convergence value set R
ΩPixel be labeled as seed points, i.e. R (p) ∈ R
Ω, R
Ω={ 15,20,25,30,35}dbz is labeled as background colour with the pixel p that does not satisfy condition, execution in step (3);
(3) with pre-conditioned said seed points is carried out 8 neighborhood region growings in said current detecting window, whether the reflectance value R (η) that judges growing point in the said detecting window is more than or equal to reflectivity threshold value T
r, i.e. R (η)>=T
r, and satisfy judgment criterion, if then constitute local belt-like zone Ω, and the seed points in the said current detecting window carried out mark, execution in step (4) by said growing point and seed points; If, do not upgrade reflectivity threshold value T
r, execution in step (3) again;
(4) intersection point with said local belt-like zone Ω and said current detecting window is the geometric center of next detecting window; Move on said next detecting window edge not search coverage; Up to constituting complete belt-like zone by a plurality of said local belt-like zone Ω; To unlabelled seed points execution in step again (3), all seed points in said radar reflectivity figure all are labeled;
(5) geometric center of each detecting window in the said complete belt-like zone is connected obtain the line of centres; The said line of centres is described as the skeleton line of said complete belt-like zone; The asymptote of convergence zone, boundary layer that utilizes banded degree criterion and convection current wind field criterion in all said complete belt-like zones, to identify to have Meteorological Significance, flow process finishes.
2. a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for according to claim 1 is characterized in that the said renewal reflectivity threshold value T in the step (3)
rBe specially:
T
rValue for the set R
ΩIn element, T at first
rValue be 35, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 30; T
rValue be 30, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 25; T
rValue be 25, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 20; T
rValue be 20, when not satisfying said judgment criterion, upgrade reflectivity threshold value T
rBe 15; T
rValue be 15, when not satisfying said judgment criterion, according to said pre-conditioned to next seed points execution in step (3).
3. a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for according to claim 1 and 2 is characterized in that said judgment criterion is specially:
Condition 1: merchant＜50% of the area of said local belt-like zone Ω and the area of detecting window;
Condition 2: the number of connected domain is more than or equal to 2 in the detecting window.
4. a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for according to claim 1 is characterized in that said banded degree criterion is specially:
The merchant of the total length of the ultimate range of any point-to-point transmission and said complete belt-like zone skeleton line is greater than 0.5 on the complete belt-like zone skeleton line.
5. a kind of method that meteorology extracts asymptote of convergence zone, boundary layer that is used for according to claim 1 is characterized in that said convection current wind field criterion is specially:
The average radial wind speed difference of complete belt-like zone skeleton line both sides is greater than 10m/s.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103267986A (en) * | 2013-04-18 | 2013-08-28 | 天津大学 | Method for finding three-body scattering in meteorology |
| CN108470319A (en) * | 2018-01-31 | 2018-08-31 | 天津大学 | Method based on convergence face three-dimensional reconstruction estimation Your Majesty liter/down draft speed |
| CN108562903A (en) * | 2017-12-25 | 2018-09-21 | 天津大学 | Strong convection system dynamic field structure recognition methods based on Doppler radar |
| CN110956677A (en) * | 2019-12-13 | 2020-04-03 | 上海眼控科技股份有限公司 | Radar map prediction method, radar map prediction device, computer equipment and storage medium |
| CN117351366A (en) * | 2023-12-05 | 2024-01-05 | 南京气象科技创新研究院 | Boundary layer radial line collision area identification method easy to trigger local convection |
-
2012
- 2012-02-17 CN CN2012100389006A patent/CN102609725A/en active Pending
Non-Patent Citations (2)
| Title |
|---|
| 屈展: "形成期风暴预测与潜势特征提取", 《硕士学位论文数据库》 * |
| 王萍等: "一种复杂背景下非规则带状区域的分割算法", 《天津大学学报》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103267986A (en) * | 2013-04-18 | 2013-08-28 | 天津大学 | Method for finding three-body scattering in meteorology |
| CN108562903A (en) * | 2017-12-25 | 2018-09-21 | 天津大学 | Strong convection system dynamic field structure recognition methods based on Doppler radar |
| CN108562903B (en) * | 2017-12-25 | 2021-10-01 | 天津大学 | Strong convection system power field structure identification method based on Doppler weather radar |
| CN108470319A (en) * | 2018-01-31 | 2018-08-31 | 天津大学 | Method based on convergence face three-dimensional reconstruction estimation Your Majesty liter/down draft speed |
| CN108470319B (en) * | 2018-01-31 | 2021-11-12 | 天津大学 | Method for estimating main ascending/descending airflow speed based on convergence surface three-dimensional reconstruction |
| CN110956677A (en) * | 2019-12-13 | 2020-04-03 | 上海眼控科技股份有限公司 | Radar map prediction method, radar map prediction device, computer equipment and storage medium |
| CN117351366A (en) * | 2023-12-05 | 2024-01-05 | 南京气象科技创新研究院 | Boundary layer radial line collision area identification method easy to trigger local convection |
| CN117351366B (en) * | 2023-12-05 | 2024-03-01 | 南京气象科技创新研究院 | Boundary layer radial line collision area identification method easy to trigger local convection |
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Application publication date: 20120725 |