CN107037504B - Dodge to assimilation for Severe Convective Weather Forecasting the method for translation proxy radar return - Google Patents
Dodge to assimilation for Severe Convective Weather Forecasting the method for translation proxy radar return Download PDFInfo
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Abstract
The method of translation proxy radar return is dodged the present invention relates to a kind of assimilation for Severe Convective Weather Forecasting, comprising the following steps: step S1: obtaining ground and dodge data；Step S2: processing ground dodges data, and carries out quality control to it；Step S3: ground sudden strain of a muscle data is converted into three-dimensional and acts on behalf of echo；Step S4: echo will be acted on behalf of with three-dimensional variational systems are dissolved into, realize the assimilation for dodging data over the ground.The step of dodging data to acquisition in the step S1 are as follows: step S11: selection contracurrent system carries out the setting of assimilation time at the time of taking place；Step S12: the ground extracted in assimilation time section dodges data；Dodge to a kind of assimilation for Severe Convective Weather Forecasting provided by the invention the method for translation proxy radar return, ground can be dodged into Data Assimilation and enter three-dimensional variational systems, the nowcasting to strong convection system is improved, and can operate in existing three-dimensional variation operation system.
Description
Technical field
The invention belongs to the communications field, conversion generation is dodged with relating particularly to a kind of assimilation for Severe Convective Weather Forecasting
The method for managing radar return.
Background technique
In Small and Medium Sized numerical forecast, workers in meteorology pass through Data Assimilation means for analysis of data and observational data
Fusion is to provide initial fields for mode, and due to the limitation of calculation method, the early stage observational data of assimilation is commonly routine observation, example
Such as wind, temperature, pressure, wet.However a large number of studies show that, it is single due to observational data, with analysis of data again and routine observation mould
Small and Medium Sized information included in quasi- obtained initial fields is often very limited.As the means of Atmospheric Survey are more and more richer
There are many non-conventional observation data, such as Assimilate Doppler Radar Data, satellite data, lightning data etc. in richness.These detection hands
The detection data that section obtains includes the Weather information more richer than routine data, but part is not conventional meteorological number
According to.Therefore workers in meteorology start to feel free to try by non-conventional observation Data Assimilation into mode, carry out the first of problem-solving pattern
Beginning field.The 1970s mid-term, since space launch is struck by lightning, the U.S. takes the lead in expanding and grind to lightning information monitoring
Study carefully, to establishing national lightning location net (National Lightning Detection in China at present
Network, NLDN).It can provide high-precision lightning detection data in real time, and the monitoring efficiency dodged over the ground is 70% or more.
Since Lightning monitoring is started late, thus for other atmosphere datas, assimilate the correlative study of lightning location net data
Conclusion is also less.The assimilation difficult point of lightning data is: the observed quantity of lightning location net data is not pattern variable, therefore
It needs to establish it before assimilation with pattern variable or associative mode diagnosis amount contacts.Current existing Lightning data assimilation method is big
It causes to include two kinds: (1) using Lightning data as the switch of control Convective Parameterization Schemes, triggering or inhibition cumulus convection ginseng
Numberization scheme；(2) mode correlated variables is converted for Lightning data by statistical relationship, then assimilation indirectly.
Main stream approach of the variational Assimilation method as Data Assimilation at present, rapidly growing and Successful utilization is in business.Mesh
Although four-dimensional variational data assimilation applied by preceding solves time window and schema constraint in three-dimensional variation to a certain extent
Problem, but the calculating of its target function gradient needs costly calculation amount, and this makes four-dimensional variational data assimilation in business
The application of aspect is very limited.
Summary of the invention
In view of the drawbacks of the prior art, the present invention is intended to provide a kind of assimilation for Severe Convective Weather Forecasting dodge conversion
The method for acting on behalf of radar return can realize that dodging data over the ground quickly and effectively assimilates, and can effectively change in three-dimensional variational systems
The short forecasting of kind Convective Weather System.
Technical scheme is as follows: dodging conversion the present invention provides a kind of assimilation for Severe Convective Weather Forecasting
The method for acting on behalf of radar return, comprising the following steps:
Step S1: it obtains ground and dodges data；
Step S2: processing ground dodges data, and carries out quality control to it；
Step S3: ground sudden strain of a muscle data is converted into three-dimensional and acts on behalf of echo；
Step S4: echo will be acted on behalf of with three-dimensional variational systems are dissolved into, realize the assimilation for dodging data over the ground.
Further, the step of dodging data to the acquisition in the step S1 are as follows:
Step S11: selection contracurrent system carries out the setting of assimilation time at the time of taking place；
Step S12: the ground extracted in stipulated time section dodges data；
Further, the step of processing ground dodges data and carries out quality control to it in the step S2 are as follows:
Step S21: the ground that setting needs to convert dodges the analog parameter of data；
Step S22: the ground converted will be needed to dodge data and be interpolated into 13.5Km grid.
Further, ground sudden strain of a muscle data is converted into the step of acting on behalf of echo in the step S3 are as follows:
Step S31: according to formula REFL=min [40,15+2.5 × LTG], vertical column maximum proxy echo REFL is obtained；
Wherein REFL represents vertical column maximum proxy echo, and LTG represents the lightning flash rates in the 13.5KM grid；
Step S32: vertical column maximum proxy echo is interpolated into respectively in 0.2 to 16Km vertical coordinate height；
Step S33: it by the vertical column maximum proxy echo in different vertical coordinate height multiplied by the season profile factor, obtains
Vertical reflection profile on different height, i.e. three-dimensional act on behalf of radar return.
Further, vertical coordinate height described in step S32 includes 0.2,0.5,0.75,1,1.25,1.5,1.75,
2,2.25,2.5,2.75,3,3.5,4,4.5,5,5.5,6,6.5,7,7.5,8,8.5,9,10,11,12,13,14,15,16.It is single
Position Km, totally 31 layers.
Further, at the time of assimilation time setting contracurrent system just starts development in the step S11.
Further, it includes lightning number, lightning that the ground in stipulated time section is extracted in the step S12 to dodge data
Date of occurrence, lightning time of origin and Lightning position information；Stipulated time is assimilation time 30 minutes forward, backward 10 points
Clock, totally 40 minutes.
Further, needed described in step S21 the ground converted dodge data analog parameter include simulated domain,
HORIZONTAL PLAID away from and the vertical number of plies.
Further, lightning flash rates described in step S31 are the cumulative amount of the lightning number in 40 minutes.
Further, the season profile factor described in step S32 includes the winter profile factor and the summer profile factor.
Further, the winter profile factor and the summer profile factor are right according to vertical maximum proxy echo institute
The magnitude answered and determine.
The method for dodging to a kind of assimilation for Severe Convective Weather Forecasting provided by the invention translation proxy radar return, can
It lightning flash rates is first converted into column maximum proxy echo is then reconverted into and act on behalf of the Vertical Profile of echo；It can will act on behalf of echo
With WRFDA three-dimensional variational systems are dissolved into, to realize the assimilation for dodging data over the ground.Technical solution provided by the invention improves pair
The nowcasting of strong convection system, and can operate in existing three-dimensional variation operation system.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 dodges the side of translation proxy radar return with showing assimilation of the embodiment of the present invention for Severe Convective Weather Forecasting
The flow chart of method；
Fig. 2 shows the sides that the embodiment of the present invention dodges translation proxy radar return with being used for the assimilation of Severe Convective Weather Forecasting
ETS scoring comparison diagram of the assimilation experiment (Exp.Lghtn) of method from control experiment (Exp.CTL) at different echo threshold dBZ；
Fig. 3 dodges the side of translation proxy radar return with showing assimilation of the embodiment of the present invention for Severe Convective Weather Forecasting
Observation precipitation figure (OBS), the Control experiment of method are accumulative Precipitation forecast figure (Exp.Lghtn) by water figure (Exp.CTL), assimilation experiments
Contrast schematic diagram.
Specific embodiment
Translation proxy thunder is dodged to the assimilation for Severe Convective Weather Forecasting of the invention With reference to embodiment
Method up to echo is described further:
Referring to figure 1, conversion is dodged the embodiment of the invention provides a kind of assimilation for Severe Convective Weather Forecasting
The method for acting on behalf of radar return, comprising the following steps:
Step S1: it obtains ground and dodges data；
Step S2: processing ground dodges data, and carries out quality control to it；
Step S3: ground sudden strain of a muscle data is converted into three-dimensional and acts on behalf of echo；
Step S4: echo will be acted on behalf of with three-dimensional variational systems are dissolved into, realize the assimilation for dodging data over the ground.
In the present embodiment, the step of dodging data to acquisition in the step S1 are as follows:
Step S11: selection contracurrent system carries out the setting of assimilation time at the time of taking place；
Step S12: the ground extracted in assimilation time section dodges data；
In the present embodiment, the step of dodging data to processing in the step S2 and carry out quality control to it are as follows:
Step S21: the ground that setting needs to convert dodges the analog parameter of data；
Step S22: the ground converted will be needed to dodge data and be inserted into 13.5Km grid.
In the present embodiment, ground sudden strain of a muscle data is converted into the step of acting on behalf of echo in the step S3 are as follows:
Step S31: according to formula REFL=min [40,15+2.5 × LTG], vertical column maximum proxy echo REFL is obtained；
Wherein REFL represents vertical column maximum proxy echo, and LTG represents the lightning flash rates in the 13.5Km grid；
Step S32: vertical reflection exterior feature is obtained with the proportionate relationship of vertical reflection profile by vertical column maximum proxy echo
Line, i.e. three-dimensional act on behalf of radar return.
In the present embodiment, in the step S11 assimilation time be set as contracurrent system just start development at the time of
Extracting the ground in stipulated time section in the present embodiment, in the step S12 to dodge data includes lightning number, sudden strain of a muscle
Electric date of occurrence, lightning time of origin and Lightning position information；Stipulated time is assimilation time 30 minutes forward, backward 10 points
Clock, totally 40 minutes.
Needing the ground converted to dodge the analog parameter of data in the present embodiment, described in step S21 includes simulation region
Domain, HORIZONTAL PLAID away from and the vertical number of plies.
In the present embodiment, lightning flash rates described in step S31 are the cumulative amount of the lightning number in 40 minutes.
The mode chosen in the embodiment of the present invention is WRF (version3.6.1) and WRF-3DVAR (version3.6.1)
It is simulated and is assimilated.Updating primary 1 ° × 1 °F NL (NCEP Final Analyses) by every 6 hours, analysis of data mentions again
For boundary condition, a weight region is selected to be simulated.The center of simulated domain is (31.87 ° of N, 117.2578 ° of E)；It is horizontal
For direction case away from for 4km, lattice point number is 341 × 341；Vertical direction is divided into 51 layers of Unequal distance, and mode top layer air pressure is 10hPa.
Time integral step-length is 20s.The Parameterization Scheme of selection is shown in Table 1.In order to examine the effect of Three-dimensional Variational Data Assimilation lightning data, if
Count following two groups of tests (two groups of tests are all made of identical test setting and Parameterization Scheme).
Test one: control experiment (Exp.CTL).By the FNL data of 18:00 on June 4th, 2009 through WRF model predictions 15
Hour, i.e. initial fields of the forecast fields of 09:00 on the 5th in June as mode, lightning data is not assimilated, directly forecast in June, 2009
20:00 on the 5th.
Test two: assimilation experiments (Exp.Lghtn).The forecast fields for choosing 09:00 in battery of tests are ambient field, are used
WRF-3DVAR module assimilation 09:00 lightning acts on behalf of three-dimensional radar echo.Then analysis field assimilation obtained is initial as mode
, integral forecast to 20:00 on June 5th, 2009.
In order to more intuitively analyze the maximum echo value of forecasting, the echo forecast fields of two groups of tests are tested.It examines
Selecting index ETS (Equitable Threat Score) scoring.ETS calculation formula is as follows:
Wherein Fo, Ob, N are respectively that lattice point number occurs for alarm, lattice point number occurs for observation and always forecasts number:
Fo=H+F, Ob=H+M, N=H+F+M+C.
The comparative test provided in the embodiment of the present invention be arranged in total 6 echo thresholds (10dBZ, 15dBZ, 20dBZ,
25dBZ, 30dBZ, 35dBZ) ETS scoring inspection is carried out, as a result referring to shown in attached drawing 2.In low echo threshold 10dBZ and 15dBZ,
The ETS score value of Control experiment persistently maintains 0.1 or so, never greater than 0.2；And the score value of assimilation experiments is initial at this time
Moment is slightly lower, in 2 to 5 hours later, with the increase called time in advance, score value it is all more stable maintain 0.3 or more.When
Echo threshold has similar above situation in 15dBZ to 20dBZ, although forecasting the ETS score value of assimilation experiments in 1 to 4 hour
Declined, but still can maintain 0.2 or 0.3 or more, is higher than Control experiment；When calling time small greater than 4 in advance, assimilation examination
The advantage tested disappears.In high echo threshold 25dBZ and 30dBZ, the score value of two groups of tests is lower, but in 4 hours, together
Change test still better than Control experiment.It can be seen that assimilation experiments improve significantly to the forecast of echo area.And the maintenance of signal
Timeliness it is relatively good, for threshold value be 10dBZ to 20dBZ echo forecast duration can achieve 6 hours, 25-35dBZ echo
Forecast duration can also maintain 4 hours or so.
Fig. 3 is the method that the embodiment of the present invention dodges translation proxy radar return for the assimilation ground of Severe Convective Weather Forecasting
Observe precipitation figure (OBS), water figure (Exp.CTL), assimilation experiments are added up pair of Precipitation forecast figure (Exp.Lghtn) by Control experiment
Compare schematic diagram.
Fig. 3 (a1), Fig. 3 (a2), Fig. 3 (a3) are the observatory precipitation schematic diagram of encryption, Fig. 3 (b1), Fig. 3 (b2), Fig. 3
It (b3) is Control experiment Precipitation forecast schematic diagram, Fig. 3 (c1), Fig. 3 (c2), Fig. 3 (c3) are assimilation experiments Precipitation forecast schematic diagram.
The first row a1, b1, c1 are three hours accumulative rainfall distributions of 09:00 to 12:00 in figure；Second row a2, b2, c2 12 in figure:
00 to 15:00 three hours accumulative rainfall distributions；Six hours accumulative rainfall distributions of third behavior 09:00 to 15:00 in figure.By
Fig. 3 (a1) is as can be seen that first three hour observatory precipitation mainly covers Anhui northeast, Jiangsu, Shanghai and Zhejiang northeast
Region, largest cumulative precipitation is up to 40mm or so within three hours；Three hours accumulative precipitation when 12 of the 09 of Control experiment forecast
(Fig. 3 (b1)) relatively observes partially strong, generally higher than 20mm, and the rain band having a common boundary in addition to being located at Jiangsu and Anhui, Zhejiang, Jiangsu does not have within the border
There is large-area precipitation, it is seen that settling in an area for Control experiment precipitation is obvious with intensity and observation difference；With Three-dimensional Variational Data Assimilation lightning generation
After reason echo (Fig. 3 (c1)), occurs large-area precipitation in the Jiangsu Province that Control experiment is failed to report, and have a common boundary to Jiangsu and Anhui
Place, rain band, ground is slightly corrected, and the accuracy of settling in an area of precipitation obviously greatly improves, but assimilation experiments forecast to add up for three hours
Precipitation intensity is partially strong many compared with actual observation substantially in 50mm or more.12:00 to 15:00 observes the south precipitation (Fig. 3 (a2)) and moves,
Accumulative precipitation zone of the precipitation greater than 10mm appears in Southern Anhui Province and Middle Part of Zhejiang area；Control experiment (Fig. 3 (b2)) is pre-
The accumulative precipitation of report is only present in Anhui and Zhejiang intersection, and intensity is partially strong compared to observing；Assimilation experiments (Fig. 3 (c2)) forecast
Precipitation band is in Jiangsu southwest and Northern Part of Zhejiang, and precipitation can reach 10mm or more, and compared to observation, assimilation experiments are 12:
00 to 15:00 forecasts that accumulative precipitation intensity is partially strong, and position is by east.From the point of view of 6 hours accumulative rainfalls, precipitation zone (Fig. 3 is observed
(a3)) be predominantly located at Anhui, Jiangsu, Shanghai, the Zhejiang central and north, Control experiment rain band (Fig. 3 (b3)) mainly Anhui, Jiangsu and
The intersection of Zhejiang San Sheng.Compared to observation, it is larger that six hours accumulative precipitation of Control experiment fail to report region, and intensity is partially strong.
And the rain band domestic to Jiangsu assimilation experiments (Fig. 3 (c3)) has carried out a degree of amendment, but intensity is partially strong, and whole precipitation
Band is by east compared to actual observation.On the whole, after three-dimensional variational method assimilates lightning data, Precipitation forecast is settled in an area accurate
Property increase substantially, but intensity is partially strong, needs to improve through a step.
In order to more accurately analyze the ability of two groups of test prediction precipitation, the precipitation test stone that the embodiment of the present invention introduces
Including forecast departure Bias, hit rate POD, the scoring of early warning rate FAR, TS1, TS2 scoring, TS scoring.For examining two groups of tests
Precipitation forecast effect test stone calculation formula and be described as follows.The illustrated in table of parameter H, F, M involved by formula in table
2.Two groups of threshold values of 1mm and 10mm are arranged in the embodiment of the present invention, and the precipitation forecast of two groups of tests is examined to imitate using the formula of table 3
Fruit, appraisal result are shown in Table 4.
Table 1
Table 2
Table 3
For Bias, when precipitation threshold value is 10mm, Control experiment is accumulative in 12:00 to 15:00 and 09:00 to 15:00
Precipitation forecast deviation is respectively 0.97 and 1.03, and compared to the 1.20 of assimilation experiments and 2.32 closer to 1, remaining result is same
Change test and is better than Control experiment.For POD, when precipitation threshold value is 10mm, Control experiment is in the POD of 12:00 to 15:00
0.25, slightly above the 0.13 of assimilation experiments, remaining result are assimilation experiments better than Control experiment.For FAR, in addition to threshold value is
When 1mm, Control experiment is slightly better than assimilation experiments, remaining each group appraisal result is that assimilation experiments false alarm rate is higher.Thus, it could be seen that
Forecast, which issues excessive alarm, so that POD is risen, but cause FAR higher simultaneously as a result, therefore using TS1 scoring represent POD and
The comprehensive effect that FAR scores to Rain Location.6 groups of TS1 appraisal results are observed, in addition to being 10mm, 12:00 to 15:00 in threshold value
When, the 0.06 of the slightly above assimilation experiments of the 0.15 of Control experiment, remaining result is assimilation experiments better than Control experiment.Based on upper
State result, it is seen that although the number that assimilation experiments miss activating alarm is more, generally speaking forecast of the assimilation experiments to Rain Location
It is better than Control experiment.
The above appraisal result is to be directed to Rain Location Prediction, but other than occurring area forecast, the forecast of precipitation is accurate
Rate is also the key of our measurement modes to precipitation forecast ability.Therefore the scoring mark for Precipitation Forecast accuracy rate is introduced
Quasi- TS2 and Rain Location and precipitation comprehensive score standard TS.Observe table 4.3 it can be found that threshold value be 1mm when, compared to control
The Precipitation Forecast effect of test is made, assimilation experiments slightly improve；And threshold value be 10mm when, forecast of two groups of tests to precipitation
Effect is bad.When threshold value is 1mm, the TS scoring of assimilation experiments is more than or equal to Control experiment, and precipitation forecast significant effect is promoted；
When threshold value is 10mm, 0 to 3 hour and 0 to 6 hour precipitation forecast effect is also slightly promoted.
The above analysis can be seen that the forecast for Rain Location, appraisal result of the assimilation experiments in two groups of threshold values
It is substantially better than Control experiment；Forecast for precipitation, assimilation experiments are higher, and Control experiment is relatively low, and assimilation experiments are compared to control
Test slightly improves；For the comprehensive forecasting effect of the two, 0 to 3 and 0 to 6 hour assimilation experiments improve it is obvious, 3 to 6 hours
Almost without improvement.
The present invention converts three-dimensional for the ground sudden strain of a muscle data that Anhui Province's lightning location observational network is detected first and acts on behalf of radar
Echo recycles the three-dimensional variation module assimilation lightning of WRF mode to act on behalf of three-dimensional radar echo.Two groups of examinations are devised in this section
It tests, one group is that i.e. Control experiment is directly forecast with analysis of data again, and another group is to dodge data with assimilating 09:00.Tentatively obtain with
Draw a conclusion:
(1) lightning is assimilated by three-dimensional variational method and acts on behalf of echo, the Horizontal Winds, vertical wind field, disturbance in ambient field
Position temperature, disturbance, vapor-to-liquid ratio, rainwater mixing ratio, cloud water mixing ratio are all able to adjust and update, to improve well
Strong convection information in initial fields.Therefore it in analog result, forecasts echo and forecasts accumulative precipitation all rapidly to observation field
It approaches.Compared with Control experiment, assimilation experiments improvement is clearly.
(2) after assimilating, maximum echo Time effect forecast was at 5 hours or more, but with the increase called time in advance, assimilation experiments
Strong echo, which is settled in an area, slightly has deviation compared to observation, if you need to use the method in business, it is proposed that introduces Wind Data to wind field structure
It is adjusted, or the convection current in initial fields can be supplemented by being continuously added observational data by the way of circulation assimilation
Information.
(3) assimilation lightning data, which can be efficiently modified, closes on Rain Location Prediction, can provide very well to the nowcasting of precipitation
Reference.But precipitation intensity is seriously over-evaluated, assimilation means how are improved, so that each pattern variable is obtained more preferable coordination, allows pre-
The precipitation intensity of report needs further to be probed into closer to atmosphere truth.
By above-mentioned conclusion it is found that a kind of assimilation for Severe Convective Weather Forecasting provided in an embodiment of the present invention dodge turn
The method of replacement reason radar return will be acted on behalf of echo with WRFDA three-dimensional variational systems are dissolved into, be realized after dodging the assimilation of data over the ground
Experiment improve nowcasting to strong convection system relative to control experiment, and can operate with existing three-dimensional variation business system
In system.
Although by reference to preferred embodiment, invention has been described, the case where not departing from the scope of the present invention
Under, various improvement can be carried out to it and can replace component therein with equivalent.Especially, as long as there is no structures to rush
Prominent, items technical characteristic mentioned in the various embodiments can be combined in any way.The invention is not limited to texts
Disclosed in specific embodiment, but include all technical solutions falling within the scope of the claims.
Claims (9)
1. dodging the method for translation proxy radar return for the assimilation ground of Severe Convective Weather Forecasting, which is characterized in that including following
Step:
Step S1: it obtains ground and dodges data；
Step S2: processing ground dodges data, and carries out quality control to it；
Step S3: ground sudden strain of a muscle data is converted into three-dimensional and acts on behalf of echo；
Step S4: echo will be acted on behalf of with three-dimensional variational systems are dissolved into, realize the assimilation for dodging data over the ground；
Ground sudden strain of a muscle data is converted into the step of three-dimensional acts on behalf of echo in the step S3 are as follows:
Step S31: according to formula REFL=min [40,15+2.5 × LTG], vertical column maximum proxy echo REFL is obtained；Wherein
REFL represents vertical column maximum proxy echo, and LTG represents the lightning flash rates in 13.5Km grid；
Step S32: vertical column maximum proxy echo is interpolated into respectively in 0.2 to 16Km vertical coordinate height；
Step S33: by the vertical column maximum proxy echo in different vertical coordinate height multiplied by the season profile factor, difference is obtained
Vertical reflection profile in height, i.e. three-dimensional act on behalf of echo.
2. the method according to claim 1 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, acquisition in step S1 ground the step of dodging data are as follows:
Step S11: selection contracurrent system carries out the setting of assimilation time at the time of taking place；
Step S12: the ground extracted in stipulated time section dodges data.
3. the method according to claim 1 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, the step of processing ground dodges data and carries out quality control to it in the step S2 are as follows:
Step S21: the ground that setting needs to convert dodges the analog parameter of data；
Step S22: the ground converted will be needed to dodge data and be interpolated into 13.5Km grid.
4. the method according to claim 2 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, in the step S12 stipulated time be set as 40 minutes, specially assimilation time 30 minutes forward, when assimilation
It carves 10 minutes backward.
5. the method according to claim 2 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, in the step S12 extract assimilation time section in ground dodge data include lightning flash rates, lightning number,
Lightning date of occurrence, lightning time of origin and Lightning position information.
6. the method according to claim 3 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, needing the ground converted to dodge the analog parameter of data described in step S21 includes simulated domain, HORIZONTAL PLAID
Away from and the vertical number of plies.
7. the method according to claim 1 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, lightning flash rates described in step S31 are the cumulative amount of the lightning number in 40 minutes.
8. the method according to claim 1 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, the season profile factor described in step S33 includes the winter profile factor and the summer profile factor.
9. the method according to claim 8 that translation proxy radar return is dodged for the assimilation ground of Severe Convective Weather Forecasting,
It is characterized in that, the winter profile factor and the summer profile factor are the amounts according to corresponding to vertical maximum proxy echo
Grade and determine.
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