CN104777526B - Method for correcting ASCAT inversion wind speed - Google Patents
Method for correcting ASCAT inversion wind speed Download PDFInfo
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- CN104777526B CN104777526B CN201510180865.5A CN201510180865A CN104777526B CN 104777526 B CN104777526 B CN 104777526B CN 201510180865 A CN201510180865 A CN 201510180865A CN 104777526 B CN104777526 B CN 104777526B
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Abstract
The invention discloses a method for correcting ASCAT inversion wind speed. The method is characterized by comprising the following steps: obtaining the buoy station inversion wind speed of each buoy station in a selected area at different observation times; obtaining a wind speed error time sequence of each buoy station in the selected area; determining a maximum influence distance according to the wind speed error time sequence of each buoy station in the selected area; correcting the ASCAT inversion wind speed to be corrected according to the selected buoy station so as to obtain the corrected ASCAT inversion wind speed. The method has the advantages of being simple in computing process, relatively good in correction effect and suitable for wide application to actual business.
Description
Technical field
The present invention relates to a kind of process meteorological data method, especially a kind of correction method of ascat Wind Speed Inversion.
Background technology
The live observation of sea surface wind wind speed is difficult, and data information is rare, and forecast and service major part need to rely on satellite Retrieval
Wind field and numerical forecast.US National Aeronautics and Space Administration (national aeronautics and space
Administration, abbreviation nasa) greatly promote by scattering in the polar-orbiting satellite (quikscat) of in July, 1999 transmitting
Application in synoptic analysis, forecast and numerical model for the method for meter Data Inversion wind field.Analysis finds, polar-orbiting satellite wind field provides
Material surveys the concordance of wind preferably on wide ocean face with island, especially on the face of off-lying sea ocean, but in coastal ocean
The error that on face and island is surveyed between wind is relatively large, and reason is that land can produce interference to scattered signal, causes observation by mistake
Difference.
European Space Agency (esa) ascat (advanced being carried by metop-a polar-orbiting satellite that launches in 2006
Scatterometer) the ascat WIND FIELDS data that scatterometer provides also has obtained good research abroad and has applied, and becomes
For one of important assimilation data of initial fields in deepwater numerical forecast.Detected based on ncep Wind Products, dropsonde
Data and buoy dump observational data, by testing to CHINESE OFFSHORE ascat WIND FIELDS, result shows ascat inverting wind
Field has preferable precision.Similar with quikscat inverting wind, the air speed value of ascat inverting wind is (big farther out with apart from coastline
In 60km) and the observation wind speed of buoy dump that do not affected by island has preferable concordance, the correlation coefficient of both of the above can
Reach 0.94, and for the air speed value of ascat inverting wind relatively nearly (less than 30km) apart from coastline and the observation wind speed of buoy dump
Dependency is poor, in the range of water front 30~60km off sea or water front off sea is more than 60km but the ascat inverting wind that affected by island
Speed is larger with the error of the observation wind speed of buoy dump, just can use, at present to such ascat inverting wind after needing to be corrected
The method that speed is corrected is few, and effectiveness is relatively low.
Content of the invention
The technical problem to be solved is to provide a kind of calculating process simple and corrects the preferable ascat of effect
The correction method of Wind Speed Inversion, is suitable for being widely applied in practical business.
The technical scheme that present invention solution above-mentioned technical problem is adopted is: a kind of correction method of ascat Wind Speed Inversion,
Comprise the following steps:
1. the buoy dump Wind Speed Inversion secondary in different observation of each buoy dump in acquisition selection area: for selected area
Any one buoy dump in domain, in the border circular areas centered on this buoy dump and with preseting length l as radius, obtain with should
Secondary ascat Wind Speed Inversion when observing of each on 1~10 minimum ascat observation position of buoy dump air line distance, then
All ascat Wind Speed Inversion of during each observation acquiring time are interpolated into this buoy dump place by inverse distance weighting
Position, obtains this buoy dump buoy dump Wind Speed Inversion secondary when each is observed;
2. the air speed error time serieses of each buoy dump in selection area are obtained: for any one in selection area
Buoy dump, using this buoy dump 10 minute mean wind speeds secondary when each is observed as this buoy dump reality secondary in corresponding observation
Then this buoy dump buoy dump Wind Speed Inversion secondary when each is observed subtracted each other with live wind speed, obtained this buoy by condition wind speed
Stand in secondary air speed error during corresponding observation, then this buoy dump air speed error secondary in all observation is formed a wind speed by mistake
Difference time serieses;
3. the air speed error time serieses according to each buoy dump in selection area, calculate each two linear interval distance
Less than the correlation coefficient between the air speed error time serieses of buoy dump of setting air line distance d, then to calculated all
Spacing distance between correlation coefficient and each self-corresponding adjacent floating labeling station of all correlation coefficienies is fitted using logarithm, obtains
Using the numerical value of spacing distance as x-axis and using the numerical value of correlation coefficient as the matched curve of y-axis, then will be less than matched curve
It is defined as the selection range of maximum effect distance with the numerical range of the numerical value 30km corresponding to the intersection point of x-axis, by maximum effect
Any one value in the selection range of distance is defined as maximum effect distance;
4. for an ascat Wind Speed Inversion to be corrected, the ascat being located with this ascat Wind Speed Inversion to be corrected is seen
Location is set to center, all buoy dumps in the circular scope using maximum effect distance as radius as select buoy dump, so
Afterwards according to selecting the buoy dump revised ascat Wind Speed Inversion of acquisition, detailed process is: by ascat inverting wind to be corrected
Speed substitutes in the regression equation that each has selected buoy dump and is calculated, and obtains the regression equation having selected buoy dump by each
The difference of calculated result and ascat Wind Speed Inversion to be corrected, each has been selected the corresponding difference of buoy dump as
By corresponding select buoy dump provide correct value, by all select buoy dumps provide correct value carry maximum effect away from
From inverse distance weighting be weighted average computation, the result that weighted average calculation is obtained corrects value as Wind Speed Inversion,
Finally calculate ascat Wind Speed Inversion to be corrected and Wind Speed Inversion corrects the value preset of value, this value preset is revised ascat inverting wind
Speed;Wherein, buoy dump is selected for any one, the process of setting up of its regression equation is: this has been selected buoy dump all
During observation, secondary buoy dump Wind Speed Inversion and live wind speed form buoy dump wind speed time serieses, further according to buoy dump wind speed
Time serieses linear regression method sets up the regression equation that this has selected buoy dump;
Or detailed process is: obtain each and selected buoy dump secondary when correcting the observation at ascat Wind Speed Inversion place
Air speed error, then with the inverse distance weighting with maximum effect distance, all air speed errors obtaining during this observation time are carried out
Weighted average calculation, the result that weighted average calculation is obtained, as estimation error, finally calculates ascat Wind Speed Inversion to be corrected
With the difference of estimation error, this difference is revised ascat Wind Speed Inversion.
Described step 1. in, by a buoy dump one observe when time buoy dump Wind Speed Inversion be designated as zp,Wherein, n represents that the ascat obtaining ascat Wind Speed Inversion required for this buoy dump sees
The sum that location is put, ziRepresent i-th ascat observation position ascat Wind Speed Inversion in this observation time, 1≤i≤n, diTable
The distance between buoy dump centered on being shown as and i-th ascat observation position.
Described step 4. in, Wind Speed Inversion corresponding with ascat Wind Speed Inversion to be corrected is corrected value and is designated as zq,Wherein, m represents selected buoy dump corresponding with ascat Wind Speed Inversion to be corrected
Sum, zjWhat j-th selected buoy dump of expression was provided corrects value, 1≤j≤m, djIt is denoted as the ascat observation bit at center
Put and selected the distance between buoy dump with j-th, r represents maximum effect distance.
Described step 4. in, zr will be designated as with the corresponding estimation error of ascat Wind Speed Inversion to be corrected,T represents the sum of selecting buoy dump corresponding with ascat Wind Speed Inversion to be corrected,
zsRepresent s-th select buoy dump wait correct ascat Wind Speed Inversion place observation when time air speed error, 1≤s≤t,
dsIt is denoted as the ascat observation position at center and selectes the distance between buoy dump s-th, r represents maximum effect distance.
Described step 1. in, described preseting length l=50km.Preseting length is too big, can lead to observe data precision
Not high, computationally intensive, preseting length is too small, and data available can be led to less, affects result of calculation.
Described step 3. in, described setting air line distance d=400km.
Compared with prior art, it is an advantage of the current invention that each buoy dump first obtaining in selection area is observed different
When time buoy dump Wind Speed Inversion, obtain selection area in each buoy dump air speed error time serieses, further according to select
The air speed error time serieses of each buoy dump in region determine maximum effect distance, treat finally according to selecting buoy dump
Correct ascat Wind Speed Inversion to be corrected, to obtain revised ascat Wind Speed Inversion, not only calculating process is simple, Er Qieji
Carry out correction wind experiment and inspection in 2,010 2014 years ascat scatterometer WIND FIELDS data, result shows, using this
Compared with ascat Wind Speed Inversion error before correcting for the revised ascat Wind Speed Inversion error of bright methods described, mean error,
Mean absolute error and root-mean-square error are all reduced, and therefore correct effect preferably, are suitable for being widely applied in practical business.
Brief description
Fig. 1 is the schematic flow sheet of the present invention.
Specific embodiment
Below in conjunction with accompanying drawing embodiment, the present invention is described in further detail.
Embodiment one: a kind of correction method of ascat Wind Speed Inversion, comprise the following steps:
1. the buoy dump Wind Speed Inversion secondary in different observation of each buoy dump in acquisition selection area: for selected area
Any one buoy dump in domain, in the border circular areas centered on this buoy dump and with preseting length l (l=50km) as radius
Interior, obtain secondary ascat inverting wind during each observation on 8 ascat observation positions minimum with this buoy dump air line distance
Then all ascat Wind Speed Inversion of during each observation acquiring time are interpolated into this buoy by inverse distance weighting by speed
Stand the position being located, obtain this buoy dump buoy dump Wind Speed Inversion secondary when each is observed.
One buoy dump buoy dump Wind Speed Inversion secondary when observing for is designated as zp,
Wherein, n represents the sum of the ascat observation position obtaining ascat Wind Speed Inversion required for this buoy dump, ziRepresent i-th
The individual ascat observation position ascat Wind Speed Inversion secondary in this observation, 1≤i≤n, diIt is denoted as the buoy dump and at center
The distance between i ascat observation position.
2. the air speed error time serieses of each buoy dump in selection area are obtained: for any one in selection area
Buoy dump, using this buoy dump 10 minute mean wind speeds secondary when each is observed as this buoy dump reality secondary in corresponding observation
Then this buoy dump buoy dump Wind Speed Inversion secondary when each is observed subtracted each other with live wind speed, obtained this buoy by condition wind speed
Stand in secondary air speed error during corresponding observation, then this buoy dump air speed error secondary in all observation is formed a wind speed by mistake
Difference time serieses.
3. the air speed error time serieses according to each buoy dump in selection area, calculate each two linear interval distance
Less than the correlation coefficient between the air speed error time serieses of buoy dump of setting air line distance d (d=400km), then to calculating
Spacing distance between all correlation coefficienies obtaining and each self-corresponding adjacent floating labeling station of all correlation coefficienies is entered using logarithm
Row matching, obtains using the numerical value of spacing distance as x-axis and using the numerical value of correlation coefficient as the matched curve of y-axis, then will
The numerical value of 15km lower with the numerical value corresponding to the intersection point of x-axis than matched curve is defined as maximum effect distance.
4. for an ascat Wind Speed Inversion to be corrected, the ascat being located with this ascat Wind Speed Inversion to be corrected is seen
Location is set to center, all buoy dumps in the circular scope using maximum effect distance as radius as select buoy dump, so
Afterwards according to selecting the buoy dump revised ascat Wind Speed Inversion of acquisition, detailed process is: by ascat inverting wind to be corrected
Speed substitutes in the regression equation that each has selected buoy dump and is calculated, and obtains the regression equation having selected buoy dump by each
The difference of calculated result and ascat Wind Speed Inversion to be corrected, each has been selected the corresponding difference of buoy dump as
By corresponding select buoy dump provide correct value, by all select buoy dumps provide correct value carry maximum effect away from
From inverse distance weighting be weighted average computation, the result that weighted average calculation is obtained corrects value as Wind Speed Inversion,
This Wind Speed Inversion is corrected value and is designated as zq,Wherein, m represents anti-with ascat to be corrected
Drill the corresponding sum selecting buoy dump of wind speed, zjWhat j-th selected buoy dump of expression was provided corrects value, 1≤j≤m,
djIt is denoted as the ascat observation position at center and selectes the distance between buoy dump j-th, r represents maximum effect distance;
Finally calculate ascat Wind Speed Inversion to be corrected and Wind Speed Inversion corrects the value preset of value, this value preset is revised ascat inverting wind
Speed;Wherein, buoy dump is selected for any one, the process of setting up of its regression equation is: this has been selected buoy dump all
During observation, secondary buoy dump Wind Speed Inversion and live wind speed form buoy dump wind speed time serieses, further according to buoy dump wind speed
Time serieses linear regression method sets up the regression equation that this has selected buoy dump.
Embodiment two: remainder is identical with embodiment one, during 4. its difference is step, according to selected buoy
Stand and obtain revised ascat Wind Speed Inversion, detailed process is: obtain each and selected buoy dump in ascat inverting to be corrected
Secondary air speed error during the observation that wind speed is located, then with the inverse distance weighting with maximum effect distance, during this observation time is obtained
All air speed errors be weighted average computation, the result that weighted average calculation is obtained, as estimation error, this is estimated
Error is designated as zr,T represents corresponding selected with ascat Wind Speed Inversion to be corrected
The sum of buoy dump, zsRepresent s-th and selected buoy dump in secondary wind speed when correcting the observation at ascat Wind Speed Inversion place
Error, 1≤s≤t, dsIt is denoted as the ascat observation position at center and selectes the distance between buoy dump s-th, r represents
Maximum effect distance;Finally calculate the difference of ascat Wind Speed Inversion to be corrected and estimation error, this difference is revised
Ascat Wind Speed Inversion.
Correct effect in order to check both the above embodiment methods described to treat to correct ascat Wind Speed Inversion, using floating
Labeling station dot cycle is checked, and some buoy dump will regard as and do not have buoy dump, and the observational data of this buoy dump is not involved in calculating, and makes
With the two methods of both examples above, the ascat Wind Speed Inversion of this buoy dump is corrected, by the ascat before and after correcting
The meansigma methodss of Wind Speed Inversion error, the meansigma methodss of Error Absolute Value and root-mean-square error relative analyses, to weigh and to correct effect, base
Carry out correction wind experiment and inspection in 2,010 2014 years ascat scatterometer WIND FIELDS data, result shows: more than adopting
Compared with ascat Wind Speed Inversion error before correcting for the revised ascat Wind Speed Inversion error of two kinds of embodiment methods describeds, put down
All errors reduce 1.86m/s (67.9%), 1.74m/s (64.2%) respectively, and mean absolute error reduces 1.05m/s respectively
(32.1%), 0.84m/s (32.1%), root-mean-square error reduces 1.19m/s (29.2%), 0.89m/s (29.6%) respectively.
Used in the present invention, ascat WIND FIELDS data is the Offshore Winds product of 12.5km for resolution, selected area
Buoy dump in domain is Shanghai City, totally 14 buoy dumps, buoy dump and mainland coastline in the range of Zhejiang Province and Fujian Province
Air line distance is 30~300km, and the minimum linear interval distance between two buoy dumps is 12km.
Claims (6)
1. a kind of correction method of ascat Wind Speed Inversion is it is characterised in that comprise the following steps:
1. the buoy dump Wind Speed Inversion secondary in different observation of each buoy dump in acquisition selection area: in selection area
Any one buoy dump, in the border circular areas centered on this buoy dump and with preseting length l as radius, obtain and this buoy
Secondary ascat Wind Speed Inversion when observing of each stood erectly on 1~10 minimum ascat observation position of linear distance, then will obtain
During each observation obtaining, secondary all ascat Wind Speed Inversion are interpolated into the position at this buoy dump place by inverse distance weighting
Put, obtain this buoy dump buoy dump Wind Speed Inversion secondary when each is observed;
2. the air speed error time serieses of each buoy dump in selection area are obtained: for any one buoy in selection area
Stand, using this buoy dump 10 minute mean wind speeds secondary when each is observed as this buoy dump live wind secondary in corresponding observation
Then this buoy dump buoy dump Wind Speed Inversion secondary when each is observed subtracted each other with live wind speed, obtained this buoy dump and exist by speed
Secondary air speed error during corresponding observation, then when this buoy dump air speed error secondary in all observation is formed an air speed error
Between sequence;
3. the air speed error time serieses according to each buoy dump in selection area, calculate each two linear interval distance and are less than
Set the correlation coefficient between the air speed error time serieses of buoy dump of air line distance d, then to calculated all correlations
Spacing distance between coefficient and each self-corresponding adjacent floating labeling station of all correlation coefficienies is fitted using logarithm, obtain with
Gauge from numerical value as x-axis and using the numerical value of correlation coefficient as the matched curve of y-axis, then will be less than matched curve and x
The numerical range of the numerical value 30km corresponding to the intersection point of axle is defined as the selection range of maximum effect distance, by maximum effect distance
Selection range in any one value be defined as maximum effect distance;
4. for an ascat Wind Speed Inversion to be corrected, will be with the ascat observation bit at this ascat Wind Speed Inversion place to be corrected
Be set to center, all buoy dumps in the circular scope using maximum effect distance as radius as select buoy dump, Ran Hougen
Obtain revised ascat Wind Speed Inversion according to selecting buoy dump, detailed process is: by ascat Wind Speed Inversion generation to be corrected
Calculated in the regression equation entering each selected buoy dump, obtained the regression equation calculation having selected buoy dump by each
The result obtaining and the difference of ascat Wind Speed Inversion to be corrected, each have been selected the corresponding difference of buoy dump as by right
What the selected buoy dump answered provided corrects value, and all values of correcting having selected buoy dumps offer are used with maximum effect distance
Inverse distance weighting is weighted average computation, and the result that weighted average calculation is obtained corrects value as Wind Speed Inversion, finally
Calculate ascat Wind Speed Inversion to be corrected and Wind Speed Inversion corrects the value preset of value, this value preset is revised ascat Wind Speed Inversion;
Wherein, buoy dump is selected for any one, the process of setting up of its regression equation is: this has been selected buoy dump in all observations
When time buoy dump Wind Speed Inversion and live wind speed form buoy dump wind speed time serieses, further according to the buoy dump wind speed time
Sequence linear regression method sets up the regression equation that this has selected buoy dump;
Or according to the detailed process selecting the buoy dump revised ascat Wind Speed Inversion of acquisition be: obtain each selected floating
Labeling station in air speed error when correcting the observation at ascat Wind Speed Inversion place time, then with the anti-distance with maximum effect distance
The method of weighting is weighted average computation to all air speed errors that during this observation time obtains, the result that weighted average calculation is obtained
As estimation error, finally calculate the difference of ascat Wind Speed Inversion to be corrected and estimation error, this difference is revised
Ascat Wind Speed Inversion.
2. a kind of ascat Wind Speed Inversion according to claim 1 correction method it is characterised in that described step 1.
In, the buoy dump buoy dump Wind Speed Inversion secondary when observing for is designated as zp,Wherein, n
Represent the sum of the ascat observation position obtaining ascat Wind Speed Inversion required for this buoy dump, ziRepresent i-th ascat
The observation position ascat Wind Speed Inversion secondary in this observation, 1≤i≤n, diIt is denoted as the buoy dump at center and i-th
The distance between ascat observation position.
3. a kind of ascat Wind Speed Inversion according to claim 1 correction method it is characterised in that described step 4.
In, Wind Speed Inversion corresponding with ascat Wind Speed Inversion to be corrected is corrected value and is designated as zq,Its
In, m represents the sum of selecting buoy dump corresponding with ascat Wind Speed Inversion to be corrected, zjRepresent j-th and selected buoy dump
There is provided corrects value, 1≤j≤m, djIt is denoted as the ascat observation position at center and selected between buoy dump for j-th
Distance, r represents maximum effect distance.
4. a kind of ascat Wind Speed Inversion according to claim 1 correction method it is characterised in that described step 4.
In, zr will be designated as with the corresponding estimation error of ascat Wind Speed Inversion to be corrected,T represents
The sum of selecting buoy dump corresponding with ascat Wind Speed Inversion to be corrected, zsRepresent that having selected buoy dump is waiting to correct s-th
Secondary air speed error, 1≤s≤t, d during the observation that ascat Wind Speed Inversion is locatedsBe denoted as the ascat observation position at center with
Select the distance between buoy dump s-th, r represents maximum effect distance.
5. a kind of ascat Wind Speed Inversion according to claim 1 correction method it is characterised in that described step 1.
In, described preseting length l=50km.
6. a kind of ascat Wind Speed Inversion according to claim 1 correction method it is characterised in that described step 3.
In, described setting air line distance d=400km.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001038903A1 (en) * | 1999-11-25 | 2001-05-31 | Vejr2 A/S | A method for alerting users of weather phenomena |
US7827861B2 (en) * | 2007-06-01 | 2010-11-09 | Second Wind, Inc. | Position correction in sodar and meteorological lidar systems |
CN103390115A (en) * | 2013-08-02 | 2013-11-13 | 国家卫星海洋应用中心 | Seasat remote sensing observation data matching method and system |
CN103605136A (en) * | 2013-12-09 | 2014-02-26 | 山东省科学院海洋仪器仪表研究所 | Ocean buoy platform laser radar three-dimensional wind field cross section detection system and detection method |
-
2015
- 2015-04-16 CN CN201510180865.5A patent/CN104777526B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001038903A1 (en) * | 1999-11-25 | 2001-05-31 | Vejr2 A/S | A method for alerting users of weather phenomena |
US7827861B2 (en) * | 2007-06-01 | 2010-11-09 | Second Wind, Inc. | Position correction in sodar and meteorological lidar systems |
CN103390115A (en) * | 2013-08-02 | 2013-11-13 | 国家卫星海洋应用中心 | Seasat remote sensing observation data matching method and system |
CN103605136A (en) * | 2013-12-09 | 2014-02-26 | 山东省科学院海洋仪器仪表研究所 | Ocean buoy platform laser radar three-dimensional wind field cross section detection system and detection method |
Non-Patent Citations (2)
Title |
---|
ASCAT散射计风场在我国近海的初步检验与应用;张增海;《气象》;20140430;第40卷(第4期);473-481 * |
基于ASCAT散射计数据的2012南极周边海面风场特征分析;张婷;《极地研究》;20141231;第26卷(第4期);481-486 * |
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