CN102692656B - Thunderstorm data processing method and system - Google Patents
Thunderstorm data processing method and system Download PDFInfo
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- CN102692656B CN102692656B CN 201210187467 CN201210187467A CN102692656B CN 102692656 B CN102692656 B CN 102692656B CN 201210187467 CN201210187467 CN 201210187467 CN 201210187467 A CN201210187467 A CN 201210187467A CN 102692656 B CN102692656 B CN 102692656B
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Abstract
The invention discloses a thunderstorm data processing method and system. The thunderstorm data processing method comprises the following steps of: obtaining original thunderstorm data, wherein the original thunderstorm data comprises total electron content data of an ionized layer in a vertical direction, data of an atmospheric electric field and thunderstorm current data; preprocessing the original thunderstorm data to preprocessed thunderstorm data with an assigned format; screening the preprocessed thunderstorm data, so as to screen out screened thunderstorm data with the same pre-set sampling time, and generating annual thunderstorm data by processing the screened thunderstorm data; and analyzing relevance among the ionized layer, the atmospheric electric field and thunderstorm current according to the annual thunderstorm data, and outputting processing results of the ionized layer, the atmospheric electric field and the thunderstorm current on thunderstorm influence. According to the thunderstorm data processing method and system provided by the invention, the thunderstorm data processing speed is accelerated on the basis of ensuring the truthfulness and the accuracy of the thunderstorm data.
Description
Technical field
The present invention relates to thunderstorm prediction field, relate in particular to a kind of thunderstorm data processing method and system.
Background technology
Thunderstorm is that it is accompanied by downpour or hail usually with the local convection weather of thunderbolt and lightning.The loss that lightning hazards is brought to us is huge, how this loss is dropped to lowest range, is the problem that we need to solve in a hurry.
The generation of grasp thunderstorm, the rule of development, triggering factors etc. are one of methods that effectively solves this thorny problem with the generation of further prediction thunderstorm.At present about the research of thunderstorm prediction aspect, mainly be by study the variation tendency that turns characteristic, atmospheric stratification, water vapor condition, ground electric field or thundercloud electric field and the factors such as triggering of gravity wave non-ly.Correlative study shows that also the solar activity such as solar flare also can produce certain impact to thunderstorm number and intensity, but no matter be solar activity or the atmospheric gravity waves such as solar flare, all be the principal element of ionospheric disturbance, all research also shows between ionized layer TEC disturbance and the thunderstorm it should is to have certain degree of association.Can and ionospheric variation cause that thereby the variation of troposphere cumulonimbus causes thunderstorm? rarely have the people that ionospheric disturbance, ground electric field are changed and thunderstorm electric current etc. combines carries out correlation analysis to the thunderstorm activity.
Therefore, prior art has yet to be improved and developed.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art, the object of the present invention is to provide a kind of thunderstorm data processing method and system, be intended to solve the problem of not coming thunderstorm is obtained to carry out correlation analysis in the prior art in conjunction with ionospheric disturbance, atmospheric electric field and thunderstorm electric current.
Technical scheme of the present invention is as follows:
A kind of thunderstorm data processing method wherein, may further comprise the steps:
A, obtain the thunderstorm raw data, described thunderstorm raw data comprises ionosphere vertical direction total electron content data, atmospheric electric field data and thunderstorm current data;
B, be the thunderstorm preprocessed data of specified format with the pre-service of described thunderstorm raw data;
C, described thunderstorm preprocessed data is screened, filtering out the thunderstorm garbled data of same scheduled sampling time, and described thunderstorm garbled data processed generate the thunderstorm annual data;
D, according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current is analyzed, and output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
Described thunderstorm data processing method, wherein, described ionosphere vertical direction total electron content data are obtained from the gps satellite data.
Described thunderstorm data processing method, wherein, described atmospheric electric field data communication device is crossed the atmospheric electric field detector detection and is obtained.
Described thunderstorm data processing method, wherein, described thunderstorm current data is surveyed by the thunderstorm detection instrument and is obtained.
Described thunderstorm data processing method, wherein, pre-service specifically comprises among the described step B:
Described thunderstorm raw data is carried out regular expression to be processed.
Described thunderstorm data processing method, wherein, screening comprises among the described step C:
Described thunderstorm preprocessed data is arranged same scheduled sampling time to screen, obtain ionosphere vertical direction total electron content mean value, the atmospheric electric field mean value in the atmospheric electric field data and the thunderstorm current average in the thunderstorm current data in the ionosphere vertical direction total electron content data in each scheduled sampling time, and with described ionosphere vertical direction total electron content mean value, atmospheric electric field mean value and thunderstorm current average in the same scheduled sampling time as the thunderstorm garbled data.
Described thunderstorm data processing method, wherein, thunderstorm garbled data described in the described step C is processed generation thunderstorm annual data and is comprised:
Extract ionosphere vertical direction total electron content mean value, atmospheric electric field mean value and thunderstorm current average in the thunderstorm garbled data, and the rejecting invalid data, generate the thunderstorm annual data that includes time on date, ionosphere vertical direction total electron content mean value, atmospheric electric field mean value, thunderstorm current average.
Described thunderstorm data processing method, wherein, described step D comprises:
D1, obtain the thunderstorm annual data in the predetermined amount of time;
D2, according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current is analyzed;
D3, output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
A kind of thunderstorm data handling system wherein, comprising:
Thunderstorm raw data acquisition module is used for obtaining the thunderstorm raw data, and described thunderstorm raw data comprises ionosphere vertical direction total electron content data, atmospheric electric field data and thunderstorm current data;
Pretreatment module, being used for the pre-service of described thunderstorm raw data is the thunderstorm preprocessed data of specified format;
Screening and processing module are used for described thunderstorm preprocessed data is screened, and filtering out the thunderstorm garbled data of same scheduled sampling time, and described thunderstorm garbled data processed generate the thunderstorm annual data;
Output module is used for according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current being analyzed, and output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
Beneficial effect: thunderstorm data processing method of the present invention and system, comprise ionosphere vertical direction total electron content data by obtaining, the thunderstorm raw data of atmospheric electric field data and thunderstorm current data, and these thunderstorm raw data are carried out pre-service, screening and integration are processed, generate the convenient thunderstorm annual data that uses, then these thunderstorm annual datas are carried out correlation analysis, can obtain analysis result, the user only needs can carry out analyses and prediction to thunderstorm targetedly according to analysis result, the present invention is on the basis of the authenticity of guaranteeing the thunderstorm data and accuracy, greatly accelerated the speed that the thunderstorm data are processed, and reduced the processing complexity of thunderstorm data, improve efficient, and obtained to be used for the analysis processing result of thunderstorm prediction aspect.
Description of drawings
Fig. 1 is the process flow diagram of thunderstorm data processing method of the present invention preferred embodiment.
Fig. 2 is the particular flow sheet of analytical procedure in the method shown in Figure 1.
Fig. 3 is the structured flowchart of thunderstorm data handling system of the present invention preferred embodiment.
Fig. 4 is the curve-fitting results synoptic diagram of thunderstorm electric current and ionosphere among the thunderstorm data processing method embodiment of the present invention, electric field intensity.
Embodiment
The invention provides a kind of thunderstorm data processing method and system, clearer, clear and definite for making purpose of the present invention, technical scheme and effect, below the present invention is described in more detail.Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
The present invention is based on the thunderstorm data processing method of weather satellite data, as shown in Figure 1, may further comprise the steps:
S101, obtain the thunderstorm raw data, described thunderstorm raw data comprises ionosphere vertical direction total electron content data, atmospheric electric field data and thunderstorm current data;
S102, be the thunderstorm preprocessed data of specified format with the pre-service of described thunderstorm raw data;
S103, described thunderstorm preprocessed data is screened, filtering out the thunderstorm garbled data of same scheduled sampling time, and described thunderstorm garbled data processed generate the thunderstorm annual data;
S104, according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current is analyzed, and output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
In step S101, at first obtain the thunderstorm raw data, the thunderstorm raw data mainly comprises ionosphere vertical direction total electron content data, atmospheric electric field data and thunderstorm current data etc.
Observe obtaining ionized layer TEC (Total Electron Content by the ground GPS of Radio Satellite beacon, the ionosphere total electron content) space distribution and time change, be the mainstream technology that current ionized layer TEC is surveyed, but it is very difficult directly obtaining the ionized layer TEC data.And ionosphere VTEC (Vertical Total Electron Content, ionosphere vertical direction total electron content, hereinafter to be referred as VTEC) data but obtain than being easier to, and therefore, often all are to be undertaken by the research to ionosphere VTEC to ionized layer TEC research.
Ionosphere VTEC data can be observed collection by GPS, namely by obtaining in the gps satellite data, and automatically upload in real time 30s sampling observation data to data center server, and store in the corresponding text database with consistent form.The ionosphere VTEC data recording time can be adopted universal time, namely ends to 23: 59: 59 from 00: 00: 00.Each ionosphere VTEC data has comprised the file header with illustrative words, and back to back is exactly the data recording of a rule, and generally with space-separated, the space number of still separating data usually is uncertain between data and the data.Each field data is Real-time Collection all, but ionosphere VTEC, TEC rate of change then replace with 999. 0000 when ionosphere VTEC makes mistakes without observation data or data, and this just means that these data are invalid.Provided the partial ionization layer VTEC observation data on March 9th, 08 such as table one, wherein represent successively from left to right year, month, day, hour, min, second, satellite type, defend asterisk, validity flag, longitude, latitude, VTEC, TEC rate of change, satellite elevation angle, projection function, accumulation number of seconds, the space-separated that wherein usage quantity does not wait between data and the data.
Table one: ionosphere VTEC data
Gps satellite data in the embodiment of the invention are obtained by ionosphere, South China monitoring net, this monitoring net is made of 8 ground GPS base stations and center processing station, each GPS base station generates an ionosphere VTEC data file every day, and whole South China ionosphere monitoring net has just generated 8 such data files.These data files all are stored in the catalogue of running after fame with the date, and 1 year more than 360 data directory is placed on again in the larger catalogue of running after fame with the time.Usually, the ionosphere VTEC data capacity size in 1 year is probably about 5GB.
The atmospheric electric field data can be passed through the atmospheric electric field detector Real-Time Monitoring, and by the size of atmospheric electric field detector Measurement accuracy atmosphere average electric field and the continuous variation of polarity, the atmospheric electric field data are exactly atmospheric electric field to be measured the measured value that obtains by atmospheric electric field detector.Electric field writing time is per 00: 00: 00 to 23: 59: 59 strictly, hour be 0-23, minute and second be 0-59, the data sampling per second once, time is used Beijing standard time, generates a data file every day, and data only have two fields in the file: one is the time, another is atmospheric electric field value, i.e. electric field intensity.Separate with the TAB key between two atmospheric electric field data, store at last the unified data layout of formation in the text data library file into, symbiosis in a year becomes more than 360 data file.What provide such as table two is the part atmospheric electric field data on June 7th, 08, represents successively from left to right time on date, two fields of atmospheric electric field value, wherein uses the TAB key to separate between two data.
Table two: atmospheric electric field observation data
The thunderstorm current data can adopt the thunderstorm detection instrument to survey sampling, and the thunderstorm detection instrument can detect imminent thunderstorm in the 120km scope at present farthest by accepting the feature electromagnetic wave of radiation of lightening discharge.Thunderstorm current data per minute once sampling, the time is used Beijing standard time, and annual data accumulation is saved in the data file, and each data file is the text that a capacity surpasses 350MB.Provided the part thunderstorm current data on September 27th, 08 such as table three, comprised successively that from left to right comma is used in the separation between the some wherein data of field such as serial number, date series number, time series number, thunderstorm electric current, longitude, latitude, Fields of Lightning Return Stroke number of times and the data.
Table three: thunderstorm electric current observation data
In step S102, be the thunderstorm preprocessed data of specified format with the pre-service of described thunderstorm raw data.Aforementionedly content and general format explanation that the thunderstorm raw data comprises have been provided, but in the processes such as data transfer, propagation, may there be the interference of multiple inevitable factor or other reasons, in the thunderstorm raw data, still have a small amount of file the not on all four situation of form may occur, such as the incomplete unification of separator between the data, perhaps data are made mistakes.In actual conditions, ionosphere VTEC observation data can appear except using some space-separated data, and also may use comma, slash or back slash etc. to separate in some place.These exceptions will use some technological means before data screening or method is carried out special processing.
That is to say that from the thunderstorm raw data of gps satellite data acquisition, its storage format is not unified, the storage format of palpus uniform data before formally carrying out the data screening processing.The technical method of Uniform data format mainly adopts regular expression to carry out, for example carry out one with regular expression C# statement str=Regex.Replace (str; " s+ ", "/"), namely all blank characters among the character string str can be replaced with slash.Adopt this technology, a small amount of other separator unification between the atmospheric electric field data can be the TAB separator, a small amount of other separator unification between the thunderstorm current data is comma, a small amount of other separator unification between the VTEC data of ionosphere is single space.
In step S103, described thunderstorm preprocessed data is screened, filtering out the thunderstorm garbled data of same scheduled sampling time, and described thunderstorm garbled data is processed (specifically can be to integrate to process) generate thunderstorm annual data.
In the huger situation of data volume, the principle of data screening is the needs that must compliance data use.In the problem of research ionosphere and climate relationship, the data that generally may need to use comprise: annual change, the seasonal variations of ionosphere VTEC, atmospheric electric field and thunderstorm electric current, monthly variation, diurnal variation, round the clock variation and time-variable data etc., and the relative atmospheric electric field of thunderstorm electric current, the relative ionosphere VTEC of thunderstorm electric current, the relative atmospheric electric field of thunderstorm electric current and the ionosphere VTEC delta data after the sluggish some time etc.
The concrete steps of screening comprise: to through pretreated ionosphere VTEC data, atmospheric electric field data and thunderstorm current data identical scheduled sampling time being set, obtain thunderstorm current average, the atmospheric electric field mean value in the atmospheric electric field data and the thunderstorm current average in the thunderstorm current data in the ionosphere VTEC data in each scheduled sampling time.
Because the atmospheric electric field data are per second once sampling, ionosphere VTEC data are every 30s once sampling, the sampling time of thunderstorm current data then in minute, be the correlativity between the research three, at first should make the three the time engrave and keep corresponding, so the three is unified gets 1 minute as scheduled sampling time.
The atmospheric electric field data: for the atmospheric electric field data, the corresponding date has been included in the filename, as long as take out date literal from filename, which day that converts to again in this year gets final product.Get mean value from 0 second to 59 seconds corresponding atmospheric electric field values as this atmospheric electric field value of 1 minute, thereby generate an atmospheric electric field annual data that is comprised of about 525600 row data, this file contains time on date and two fields of atmospheric electric field mean value.
Ionosphere VTEC data: be to utilize 8 satellites (sometimes being 10) GPS observation to carry out the detection of ionosphere total electron content TEC, its sampling time is per 30 seconds once sampling, get the mean value of per minute for ionosphere VTEC value, as the ionosphere VTEC value (if then getting 0 value without measured value) of this this area in moment.Like this, just can generate an ionosphere VTEC annual data, this file contains time on date and two fields of ionosphere VTEC mean value.
The thunderstorm current data: what record the thunderstorm current data is the huge text of a capacity about 3,400 million, has recorded the thunderstorm current data of a year and a day.Because in case instrument has captured the thunderstorm electric current then record data, do not capture then and do not note down, so data sampling is not relatively determined the time interval, but substantially timing in a minute.For with atmospheric electric field and ionized layer TEC data hold time on consistance, must insert every 1 minute some zero thunderstorm current data.And electric current sometimes be on the occasion of, be negative value sometimes, in any case but thunderstorm all occured, this just need to become the thunderstorm current processing absolute value to calculate.Because the time on date of record is used date time series number, also to be to use the definite time on date this serial number conversion therefore again.Like this, also can generate a thunderstorm electric current annual data that contains time on date and two fields of thunderstorm current average.
At last, ionosphere VTEC mean value with above three data files, atmospheric electric field mean value, and the thunderstorm current average all is incorporated into together, and it is capable to reject the record contain the invalid datas such as 0 value, thereby can generate a thunderstorm annual data, this file contains four fields, be respectively: the time on date, ionosphere VTEC mean value, atmospheric electric field mean value, and thunderstorm current average, ionosphere VTEC mean value wherein, atmospheric electric field mean value, and the corresponding time on date of thunderstorm current average all is identical, because rejected some data, its data recording generally may be less than 525600.
Pass through the storage of the net result after screening, integration etc. are processed as for the thunderstorm preprocessed data and then unify to adopt space-separated.Wherein, time on date is 16 character strings, ionosphere VTEC mean value is 11 character strings, atmospheric electric field mean value is 12 character strings, be meter attractive in appearance, also can the space polishing when figure place is not enough, and the thunderstorm current average is because being in last row, not spacing number then, between these data all with space-separated.The part net result after the thunderstorm data are processed through screening, integration etc. as shown in Table 4.
Table four thunderstorm annual data
In step S104, after the thunderstorm preprocessed data was processed through screening, integration etc., invalid data was disallowable, only has valid data just to be kept.The data consumer can after the data that oneself needing to obtain, both can save as text according to needs analysis, the data query of oneself, also was output to the storage of Excel table.
Step S104 specifically can be divided into following step again, and as shown in Figure 2, it comprises:
S201, obtain the thunderstorm annual data in the predetermined amount of time;
S202, according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current is analyzed;
S203, output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
Usually, the analysis and consult of data can be by a minute inquiry, by the hour inquiry, per diem inquiry, perhaps inquire about by per 10 minutes, 20 minutes, 30 minutes mode, also can be by every two hours, the mode of per half a day, per 10 days inquiry inquires about, can also only inquire about daytime data or night data etc.The method of query analysis is the mean value of segment data when calculating this, with the data value of this mean value as this period.Certainly, inquire about monthly, quarterly, per year also being fine, but at this moment data volume may be very little, the precision of analysis of gained just is affected possibly.
Carry out correlation analysis according to the thunderstorm annual data after the Screening Treatment, for example carry out ionosphere, atmospheric electric field, the analysis of thunderstorm current dependence, on ionosphere, electric field intensity with regard to instantaneous, after 1 hour, after 2 hours, after 3 hours, after 5 hours, after 7 hours, after 9 hours and the situation after 12 hours quantitative test is carried out in the impact of thunderstorm.Specifically can carry out first curve estimation and process, between three elements, carry out in twos correlation analysis, also can draw multifactor contribution to the thunderstorm electric current, carry out at last Successive Regression, find out the regularity that ionosphere, electric field intensity affect thunderstorm.Carry out curve fitting result as shown in Figure 4.
As can be seen from Figure 4 in 2 factors, in the thunderstorm electric current 12 hours with 2 factors independently model of fit mainly be the S type, three times, other is arranged extremely is compound, growth, index.The variation of thunderstorm electric current is subjected to ionosphericly to affect extremely significantly in 12 hours, and the impact that is subjected to electric field is complicated, As time goes on by not significantly to significantly to extremely significantly again to not remarkable, thunderstorm electric current and both positive correlation.Analyze particularly, can find that the thunderstorm electric current is stronger with the correlativity of electric field with ionospheric correlativity ratio before 3 hours, the thunderstorm electric current is more weak with the correlativity of electric field with ionospheric correlativity ratio after 3 hours.This can be understood as, and the time, ionosphere was directly influential to thunderstorm more in short-term, and along with the past of time, ionosphere is converted into by electric field the impact of thunderstorm and realizes.Certainly, this just carries out a part of result of correlation analysis, and the user can also utilize other analytical approach that treated thunderstorm raw data is analyzed, thereby the prediction of thunderstorm is effectively studied.
Design key of the present invention is in the initialization process to the thunderstorm raw data, namely comprises the processes such as pre-service, screening and processing.Because form, structure and the sampling interval time thereof etc. of these thunderstorm raw data are fully different, so that the disposal route of each class thunderstorm raw data all must be unique, the disposal route of one class data can't be applied in the processing to another kind of data at all, and the program code of realization is reusable not basically.The size of code that this has not only increased program has greatly also strengthened the complexity of program and the difficulty of program design.In the form of having unified data and structure and given up after other invalid data obtained all kinds of valid data, again processing and subsequent inquiry, the output etc. of data have just made things convenient for many by the present invention.
The present invention's data to be dealt with all are based on text, and for keeping the consistent of this style, all treated data also all will be with the form storage of text.But in order conveniently to carry out the correlation analysis of data, the present invention also can output to treated data well Excel and preserve.
Based on said method, the present invention also provides a kind of thunderstorm data handling system, as shown in Figure 3, comprising:
Thunderstorm raw data acquisition module 100 is used for obtaining the thunderstorm raw data, and described thunderstorm raw data comprises ionosphere vertical direction total electron content data, atmospheric electric field data and thunderstorm current data;
Screening and processing module 300 are used for described thunderstorm preprocessed data is screened, and filtering out the thunderstorm garbled data of same scheduled sampling time, and described thunderstorm garbled data processed generate the thunderstorm annual data;
In sum, thunderstorm data processing method of the present invention and system, comprise ionosphere VTEC data by obtaining, the thunderstorm raw data of atmospheric electric field data and thunderstorm current data, and these thunderstorm raw data are carried out pre-service, the processing such as screening and integration, generate the convenient thunderstorm annual data that uses, then carry out correlation analysis according to these thunderstorm annual datas, can obtain analysis result, the user only needs can carry out analyses and prediction to thunderstorm targetedly according to analysis result, the present invention is on the basis of the authenticity of guaranteeing the thunderstorm data and accuracy, greatly accelerated the speed that the thunderstorm data are processed, and reduced the processing complexity of thunderstorm data, improve efficient, and obtained to be used for the analysis processing result of thunderstorm prediction aspect.
Should be understood that application of the present invention is not limited to above-mentioned giving an example, for those of ordinary skills, can be improved according to the above description or conversion that all these improvement and conversion all should belong to the protection domain of claims of the present invention.
Claims (9)
1. a thunderstorm data processing method is characterized in that, may further comprise the steps:
A, obtain the thunderstorm raw data, described thunderstorm raw data comprises ionosphere vertical direction total electron content data, atmospheric electric field data and thunderstorm current data;
B, be the thunderstorm preprocessed data of specified format with the pre-service of described thunderstorm raw data;
C, described thunderstorm preprocessed data is screened, filtering out the thunderstorm garbled data of same scheduled sampling time, and described thunderstorm garbled data processed generate the thunderstorm annual data;
D, according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current is analyzed, and output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
2. thunderstorm data processing method according to claim 1 is characterized in that, described ionosphere vertical direction total electron content data are obtained from the gps satellite data.
3. thunderstorm data processing method according to claim 1 is characterized in that, described atmospheric electric field data communication device is crossed the atmospheric electric field detector detection and obtained.
4. thunderstorm data processing method according to claim 1 is characterized in that, described thunderstorm current data is surveyed by the thunderstorm detection instrument and obtained.
5. thunderstorm data processing method according to claim 1 is characterized in that, pre-service specifically comprises among the described step B:
Described thunderstorm raw data is carried out regular expression to be processed.
6. thunderstorm data processing method according to claim 1 is characterized in that, screening comprises among the described step C:
Described thunderstorm preprocessed data is arranged same scheduled sampling time to screen, obtain ionosphere vertical direction total electron content mean value, the atmospheric electric field mean value in the atmospheric electric field data and the thunderstorm current average in the thunderstorm current data in the ionosphere vertical direction total electron content data in each scheduled sampling time, and with described ionosphere vertical direction total electron content mean value, atmospheric electric field mean value and thunderstorm current average in the same scheduled sampling time as the thunderstorm garbled data.
7. thunderstorm data processing method according to claim 6 is characterized in that, thunderstorm garbled data described in the described step C is processed generation thunderstorm annual data and comprised:
Extract ionosphere vertical direction total electron content mean value, atmospheric electric field mean value and thunderstorm current average in the thunderstorm garbled data, and the rejecting invalid data, generate the thunderstorm annual data that includes time on date, ionosphere vertical direction total electron content mean value, atmospheric electric field mean value, thunderstorm current average.
8. thunderstorm data processing method according to claim 1 is characterized in that, described step D comprises:
D1, obtain the thunderstorm annual data in the predetermined amount of time;
D2, according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current is analyzed;
D3, output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
9. a thunderstorm data handling system is characterized in that, comprising:
Thunderstorm raw data acquisition module is used for obtaining the thunderstorm raw data, and described thunderstorm raw data comprises ionosphere vertical direction total electron content data, atmospheric electric field data and thunderstorm current data;
Pretreatment module, being used for the pre-service of described thunderstorm raw data is the thunderstorm preprocessed data of specified format;
Screening and processing module are used for described thunderstorm preprocessed data is screened, and filtering out the thunderstorm garbled data of same scheduled sampling time, and described thunderstorm garbled data processed generate the thunderstorm annual data;
Output module is used for according to the thunderstorm annual data correlativity of ionosphere, atmospheric electric field and thunderstorm electric current being analyzed, and output ionosphere, atmospheric electric field and thunderstorm electric current are on the result of thunderstorm impact.
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