CN109710657B - Cloud area judgment method - Google Patents
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Abstract
The invention provides a cloud area judgment method, which comprises the following steps: reading original meteorological data according to a fixed time interval and obtaining an original meteorological data sequence; carrying out interpolation processing and correction processing on the original meteorological data sequence to obtain a target temperature and humidity data sequence; acquiring an in-cloud height set and an out-cloud height set according to the target temperature and humidity data sequence, wherein the in-cloud height set and the out-cloud height set have a one-to-one mapping relation; and acquiring a first cloud vertical structure according to the cloud entry height set and the cloud exit height set. According to the method, the original meteorological data are used as analysis objects, the cloud vertical structure in the height direction is finally obtained, the cloud area is comprehensively judged by utilizing the humidity and the thickness of the cloud area in the judgment process of the cloud vertical structure, the method has high accuracy, the judgment reliability of the cloud vertical structure is high, and effective methods and tools can be provided for relevant meteorological scientific research and business work based on the cloud vertical structure.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a cloud area judgment method.
Background
The judgment of the cloud vertical structure is very important for the meteorological field, but the prior art lacks an effective means for observing the cloud vertical structure and an effective scheme for judging the cloud vertical structure.
Disclosure of Invention
In order to solve the technical problem, the invention provides a cloud area judgment method. The invention is realized by the following technical scheme:
a cloud area judgment method comprises the following steps:
reading the raw meteorological data at regular time intervals and obtaining a raw meteorological data sequence theta (tep)t,wt,ht) Wherein teptIdentification of the temperature component, wtIdentifying the relative humidity component, htIdentifying a height component, t being time;
for the original meteorological data sequence theta (tep)t,wt,ht) Interpolation processing and correction processing are carried out to obtain a target temperature and humidity data sequence
Tep thereinkIdentification of the temperature component, wkIdentifying a relative humidity component, the target temperature and humidity data sequence
The fluctuation value of the difference value between the height values corresponding to two adjacent elements is smaller than a preset threshold value;
according to the target temperature and humidity data sequence
Acquiring an in-cloud height set and an out-cloud height set, wherein the in-cloud height set and the out-cloud height set have a one-to-one mapping relation;
and acquiring a first cloud vertical structure according to the cloud entry height set and the cloud exit height set.
Further, still include:
and correcting the first cloud vertical structure to obtain a second cloud vertical structure.
Further, the modifying the first cloud vertical structure to obtain a second cloud vertical structure includes:
obtaining a Cloud set Cloud (B) from a first Cloud vertical structuren) Cloud region of Cloud (B)n) Each cloud zone B innRepresented by an in-cloud height value and an out-of-cloud height value;
obtaining each cloud area BnCloud region thickness TnAnd standard temperature and humidity data sequence
Fall intoMinimum value w 'of standard moisture component of element of height range of cloud region'nmin；
If the thickness T of the cloud zonenIs less than a preset interlayer thickness threshold value and the minimum value w of the standard humidity component'nminIf the humidity is greater than the preset interlayer humidity threshold value, the cloud area is judged to be an unreasonable interlayer;
if an unreasonable interlayer exists, B is addedn+1The cloud height value of is taken as Bn-1The cloud height value of, delete BnAnd Bn+1。
Further, the preset interlayer thickness threshold is 200, and the preset interlayer humidity threshold is 80%.
Further, still include:
and modifying the second cloud vertical structure to remove unreasonable thin layers in the cloud vertical structure.
Further, the removing the unreasonable thin layer in the cloud vertical structure comprises:
obtaining a Cloud set (B)n)：
Obtaining each cloud area BnCloud region thickness Tn；
If the thickness T of the cloud zonenIf the thickness of the thin layer is smaller than a preset thin layer thickness threshold value, the cloud area is judged to be an unreasonable thin layer;
if an unreasonable thin layer exists, Bn+1The cloud height value of is taken as Bn-1The cloud height value of, delete BnAnd Bn+1。
Further, the preset thin layer thickness threshold is 200.
The embodiment of the invention provides a cloud area judgment method, which takes original meteorological data as an analysis object and finally obtains a cloud vertical structure in the height direction, comprehensively judges the cloud area by utilizing the humidity and the thickness of the cloud area in the judgment process of the cloud vertical structure, has better and accurate degree and high judgment reliability of the cloud vertical structure, and can provide an effective tool for the analysis of relevant meteorological phenomena based on the cloud vertical structure.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a cloud area determination method according to an embodiment of the present invention;
fig. 2 is a flowchart of a target temperature and humidity data sequence acquisition method provided in an embodiment of the present invention;
FIG. 3 is a flowchart of an interpolation and correction method according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for acquiring an in-cloud height set and an out-cloud height set according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
An embodiment of the present invention provides a cloud area determination method, as shown in fig. 1, including:
s101, reading original meteorological data according to a fixed time interval and obtaining an original meteorological data sequence theta (tep)t,wt,ht) Wherein teptIdentification of the temperature component, wtIdentifying the relative humidity component, htThe height component is identified and t is time.
S102, comparing the original meteorological data sequence theta (tep)t,wt,ht) Interpolation processing and correction processing are carried out to obtain a target temperature and humidity data sequence
Tep thereinkIdentification of the temperature component, wkIdentifying a relative humidity component, the target temperature and humidity data sequence
The fluctuation value of the difference value between the height values corresponding to two adjacent elements is smaller than a preset threshold value.
Specifically, the preset threshold may be set according to actual needs, and the embodiment of the present invention does not limit the value range.
S103, according to the target temperature and humidity data sequence
And acquiring a cloud entry height set and a cloud exit height set, wherein the cloud entry height set and the cloud exit height set have a one-to-one mapping relation.
S104, acquiring a first cloud vertical structure according to the cloud entry height set and the cloud exit height set.
And S105, correcting the first cloud vertical structure to obtain a second cloud vertical structure.
In one possible embodiment, the pair of the original meteorological data sequences θ(tept,wt,ht) Interpolation processing and correction processing are carried out to obtain a target temperature and humidity data sequence
As shown in fig. 2, includes:
s1021, calculating an original meteorological data sequence theta (tep)t,wt,ht) The height difference of each adjacent element.
And S1022, acquiring a divisor set of each height difference.
The elements in the divisor set satisfy the following conditions:
the fluctuation value of the remainder obtained by dividing each height difference by the element is smaller than a preset threshold value.
And S1023, selecting one divisor from the divisor set as an interpolation step.
S1024. the data sequence theta is formed by the original meteorological data (tep)t,wt,ht) Obtaining a temperature and humidity data sequence [ o ] (tep)h,wh)。
The temperature and humidity data sequence [ deg. ] (tep)h,wh) The sequence is characterized in that the height h is used as an independent variable, and the temperature and the humidity are used as dependent variables.
S1025, the temperature and humidity data sequence omicron is processed according to the interpolation step length (tep)h,wh) Interpolation processing and correction processing are carried out to obtain a target temperature and humidity data sequence
Target temperature and humidity data sequence
Wherein the fluctuation value of the height difference of each discrete point is less than a preset threshold value, and k is the subscript of the discrete point.
Specifically, the method of interpolation processing and correction processing according to the embodiment of the present invention is not particularly limited. However, in order to obtain a better data processing effect, an embodiment of the present invention provides an interpolation and correction method, where the method is shown in fig. 3 and includes:
and S110, obtaining an interpolation step length.
And S120, obtaining the value of the independent variable h corresponding to the interpolation point according to the interpolation step length.
S130, substituting the value of the independent variable h corresponding to the interpolation point into an estimation algebraic expression
And obtaining an estimation value point.
In a specific implementation, tep is referred to a temperature componenthAnd a humidity component whPerforming respective operations to obtain the temperature component tep of the estimation pointhAnd a humidity component whO in the evaluation algebraic expressionkIdentify temperature and humidity data sequence [ deg. ] (tep)h,wh) The k-th element of (1), hkIdentify temperature and humidity data sequence [ deg. ] (tep)h,wh) The height value of the kth element in (b).
S140, temperature and humidity data sequence o (tep) is obtained through the estimation pointh,wh) The original points in the sequence constitute the sequence o' to be corrected according to the ascending order of height (tep)k,wk) Where k is the sequence omicron "(tep) to be correctedk,wk) Point subscripts of (a).
S150, obtaining the omicron of the sequence to be corrected (tep)k,wk) One round of correction sequence psi1(tepk,wk)＝ψ1(tepk-1,wk-1)×(1-ξ)+ο″(tepk,wk) X xi, where ψ1(tepk,wk) Is the k element value of a round of correction sequence, and xi is a round of correction parameter.
S160, obtaining a two-round correction sequence psi according to the one-round correction sequence2(tepk,wk)＝χ×(1+μ)×ψ1(tepk,wk)-χ×ψ1(tepk-1,wk-1)+ψ2(tepk-1,wk-1) Wherein ψ2(tepk,wk) Is the k-th element value of the two-round correction sequence, χ is the two-round correction parameter, and μ is the sensitivity parameter.
S170, according to waitingCorrecting the sequence and obtaining a target temperature and humidity sequence by the two-round correction sequence
Gamma is a three-wheel correction parameter.
Specifically, the first round correction parameter, the second round correction parameter, the third round correction parameter, and the sensitivity parameter may be set according to a user requirement, which is not specifically limited in the embodiment of the present invention.
Further, the embodiment of the invention also provides a data sequence according to the target temperature and humidity
A method for acquiring an in-cloud height set and an out-cloud height set, as shown in fig. 4, the method includes:
s210, according to the target temperature and humidity data sequence
Obtaining a standard temperature and humidity data sequence
In particular, a standard temperature and humidity data sequence
The obtaining method comprises the following steps:
for a target temperature and humidity data sequence
Each element P (tep)k,wk) The following operations are performed:
determining a temperature component tepkWhether greater than 0;
if yes, enabling the standard humidity component w'k＝wkTo obtain its corresponding standard element P' (tep)k,w′k)；
If not, then
According to temperature component tepkHarmony and wetnessDegree component wkBy the formula
According to the first temperature TdBy the formula
Calculating a first vapor pressure EwWherein T is0Is the triple point temperature of water;
according to temperature component tepkBy the formula
Calculating a second vapor pressure Ei；
According to the first steam pressure and the second steam pressure by formula
Calculating a Standard humidity component w'kTo obtain its corresponding standard element P' (tep)k,w′k)；
Generating a standard temperature and humidity data sequence according to each standard element
S220, comparing the standard temperature and humidity data sequence
Each element in (a) performs the following determination: if the standard humidity component of the element is smaller than a preset humidity threshold value and the marked humidity component of the next element of the element is larger than the preset humidity threshold value, bringing the height value corresponding to the element into a cloud height set; if the standard humidity component of the element is larger than the preset humidity threshold value and the marked humidity component of the next element of the element is smallAnd at a preset humidity threshold value, incorporating the height value corresponding to the element into a cloud height set.
S230. if the standard temperature and humidity data sequence
If the standard humidity component of the first element in the cloud is greater than a preset humidity threshold value, bringing the height value corresponding to the element into a cloud height set, and if the standard temperature and humidity data sequence is
If the standard humidity component of the last element in the set is greater than the preset humidity threshold, the height value corresponding to the element is brought into the cloud height set.
Specifically, the humidity threshold may be set according to a user requirement, and is not specifically limited in the embodiment of the present invention. In the embodiment of the invention, the value of the humidity threshold is 84%.
And S240, sequencing the elements in the cloud entry height set and the cloud exit height set according to the height increasing sequence to obtain a cloud entry height sequence and a cloud exit height sequence.
And S250, cloud exists between the kth element in the cloud entry height sequence and the kth element in the cloud exit height sequence, so that a first cloud vertical structure is obtained.
Specifically, an embodiment of the present invention further provides a method for modifying the first cloud vertical structure to obtain a second cloud vertical structure, where the method includes:
s1051, obtaining a Cloud area set Cloud (B) according to a first Cloud vertical structuren) Cloud region of Cloud (B)n) Each cloud zone B innRepresented by an in-cloud height value and an out-of-cloud height value.
S1052, acquiring each cloud area BnCloud region thickness TnAnd standard temperature and humidity data sequence
Minimum value w 'of the standard moisture component of an element falling within the range of altitude of the cloud zone'nmin；
S1053, if the cloud area thickness TnIs less than a preset interlayer thickness threshold value and the minimum value w of the standard humidity component'nminAnd if the humidity is greater than the preset interlayer humidity threshold value, judging that the cloud area is an unreasonable interlayer.
The preset interlayer thickness threshold and the preset interlayer humidity threshold may be set according to the user requirement, and are not specifically limited in the embodiment of the present invention, the preset interlayer thickness threshold is 200, and the preset interlayer humidity threshold is 80%.
S1054. if an unreasonable interlayer exists, B is addedn+1The cloud height value of is taken as Bn-1The cloud height value of, delete BnAnd Bn+1。
The above steps may remove unreasonable interlayers in the first cloud vertical structure to obtain the second cloud vertical structure expressed in a form of a cloud area set, and further, on the basis of removing unreasonable interlayers in the embodiment of the present invention, the cloud vertical structure may be further modified to remove unreasonable lamellae in the cloud vertical structure, where the method includes:
s1055, obtaining a Cloud zone set Cloud' (B)n)。
In particular, the Cloud zone sets Cloud' (B)n) The cloud area set is obtained after the processing of the steps S1051-S1054.
S1056, obtaining each cloud area BnCloud region thickness Tn。
S1057, if the cloud area thickness TnAnd if the thickness is smaller than a preset thin layer thickness threshold value, judging that the cloud area is an unreasonable thin layer.
The preset thin layer thickness threshold value may be set according to a user requirement, and is not specifically limited in the embodiment of the present invention, and the preset thin layer thickness threshold value is 200 in the embodiment of the present invention.
S1058. if an unreasonable thin layer exists, B is addedn+1The cloud height value of is taken as Bn-1The cloud height value of, delete BnAnd Bn+1。
The steps can further remove unreasonable thin layers in the cloud vertical structure on the basis of removing unreasonable interlayers, so that a second cloud vertical structure represented in the form of a cloud area set is obtained.
It is emphasized that the order of removal of the unreasonable interlayers and unreasonable lamellae affects the expression of the final cloud vertical structure, so that the order of removal of the unreasonable interlayers and unreasonable lamellae cannot be reversed.
The embodiment of the invention provides a cloud area judgment method, which takes original meteorological data as an analysis object and finally obtains a cloud vertical structure in the height direction, comprehensively judges the cloud area by utilizing the humidity and the thickness of the cloud area in the judgment process of the cloud vertical structure, has better and accurate degree and high judgment reliability of the cloud vertical structure, and can provide an effective tool for the analysis of relevant meteorological phenomena based on the cloud vertical structure.
It should be noted that: the sequence of the above embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. A cloud area judgment method is characterized by comprising the following steps:
reading the raw meteorological data at regular time intervals and obtaining a raw meteorological data sequence theta (tep)t,wt,ht) Wherein teptIdentifying the temperature component, w, of the original meteorological data sequencetIdentifying the relative humidity component, h, of the original meteorological data sequencetIdentifying a height component, t being time;
for the raw gasImage data sequence theta (tep)t,wt,ht) Interpolation processing and correction processing are carried out to obtain a target temperature and humidity data sequence
Tep thereinkIdentifying a temperature component, w, of a target humiture data sequencekIdentifying the relative humidity component of the target temperature and humidity data sequence, wherein k is a subscript of a discrete point; the target temperature and humidity data sequence
The fluctuation value of the difference value between the height values corresponding to two adjacent elements is smaller than a preset threshold value;
according to the target temperature and humidity data sequence
Acquiring an in-cloud height set and an out-cloud height set, wherein the in-cloud height set and the out-cloud height set have a one-to-one mapping relation;
acquiring a first cloud vertical structure according to the cloud entry height set and the cloud exit height set;
the pair of the original meteorological data sequence θ (tep)t,wt,ht) Carrying out interpolation processing and correction processing to obtain a target temperature and humidity data sequence, wherein the steps comprise:
calculating a raw meteorological data sequence θ (tep)t,wt,ht) Height differences of respective adjacent elements;
obtaining a divisor set of each height difference;
the elements in the divisor set satisfy the following conditions: the fluctuation value of a remainder obtained by dividing each height difference by the element is smaller than a preset threshold value;
selecting one divisor from the divisor set as an interpolation step;
from a sequence of raw meteorological data theta (tep)t,wt,ht) Obtaining a temperature and humidity data sequence o (tep)h,wh)；
According to the interpolation step length, the temperature and humidity data sequence o (tep)h,wh) Interpolation processing and correction processing are carried out to obtain a target temperature and humidity data sequence
Target temperature and humidity data sequence
The fluctuation value of the height difference of each discrete point is smaller than a preset threshold value;
the interpolation and correction process includes:
obtaining an interpolation step length;
obtaining the value of an independent variable h corresponding to the interpolation point according to the interpolation step length;
substituting the value of the independent variable h corresponding to the interpolation point into an estimation algebraic expression
Obtaining an estimation point; estimating o in algebraic formkIdentifying a temperature and humidity data sequence o (tep)h,wh) The k-th element of (1), hkIdentifying a temperature and humidity data sequence o (tep)h,wh) The height value of the kth element in (1);
from the estimated point and the temperature and humidity data sequence o (tep)h,wh) The originally existing points in the sequence o' to be corrected are formed according to the ascending order of height (tep)k,wk)；
Obtaining o "(tep) of the sequence to be correctedk,wk) One round of correction sequence psi1(tepk,wk)＝ψ1(tepk-1,wk-1)×(1-ξ)+o″(tepk,wk) X xi, where ψ1(tepk,wk) Is the kth element value of a round of correction sequence, and xi is a round of correction parameter;
obtaining a two-round correction sequence psi according to the one-round correction sequence2(tepk,wk)＝χ×(1+μ)×ψ1(tepk,wk)-χ×ψ1(tepk-1,wk-1)+ψ2(tepk-1,wk-1) Wherein ψ2(tepk,wk) Is the kth element value of the two rounds of correction sequences, chi is the two rounds of correction parameters, and mu is the sensitivity parameter;
obtaining a target temperature and humidity sequence according to the sequence to be corrected and the two-round correction sequence
Gamma is a three-wheel correction parameter.
2. The method of claim 1, further comprising:
and correcting the first cloud vertical structure to obtain a second cloud vertical structure.
3. The method of claim 2, wherein modifying the first cloud vertical to obtain a second cloud vertical comprises:
obtaining a Cloud set Cloud (B) from a first Cloud vertical structuren) Cloud region of Cloud (B)n) Each cloud zone B innRepresented by an in-cloud height value and an out-of-cloud height value;
obtaining each cloud area BnCloud region thickness TnAnd standard temperature and humidity data sequence
Minimum value w 'of the standard moisture component of an element falling within the range of altitude of the cloud zone'nminWherein, w'kRepresents a standard humidity component;
if the thickness T of the cloud zonenIs less than a preset interlayer thickness threshold value and the minimum value w of the standard humidity component'nminIf the humidity is greater than the preset interlayer humidity threshold value, the cloud area is judged to be an unreasonable interlayer;
if an unreasonable interlayer exists, B is addedn+1The cloud height value of is taken as Bn-1The cloud height value of, delete BnAnd Bn+1。
4. The method of claim 3, wherein:
the preset interlayer thickness threshold is 200, and the preset interlayer humidity threshold is 80%.
5. The method of claim 3, further comprising:
and modifying the second cloud vertical structure to remove unreasonable thin layers in the cloud vertical structure.
6. The method of claim 5, wherein removing unreasonable thin layers in a cloud vertical structure comprises:
obtaining a Cloud set (B)n)：
Obtaining each cloud area BnCloud region thickness Tn；
If the thickness T of the cloud zonenIf the thickness of the thin layer is smaller than a preset thin layer thickness threshold value, the cloud area is judged to be an unreasonable thin layer;
if an unreasonable thin layer exists, Bn+1The cloud height value of is taken as Bn-1The cloud height value of, delete BnAnd Bn+1。
7. The method of claim 6, wherein:
the preset thin layer thickness threshold is 200.
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