CN110275183A - GNSS occultation Ionosphere Residual Error modification method and system based on ionospheric electron density - Google Patents
GNSS occultation Ionosphere Residual Error modification method and system based on ionospheric electron density Download PDFInfo
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Abstract
The present invention provides GNSS occultation Ionosphere Residual Error modification methods and system based on ionospheric electron density, the described method includes: pre-processing to GNSS occultation original observed data and ionosphere vTEC maps data, GNSS occultation geometric data and ionospheric data are obtained；Based on GNSS occultation geometric data, ionospheric data and three-dimensional NeUoG ionosphere model, the electron density profile of " incident ray " and " emergent ray " side ionosphere point of puncture position is calculated；Based on GNSS occultation geometric data and electron density profile, bending angle Ionosphere Residual Error profile is calculated.GNSS occultation Ionosphere Residual Error modification method of the invention and system can be used in single GNSS occultation event atmospheric parameter inverting, to weaken the influence of Ionosphere Residual Error, to obtain the GNSS occultation bending angle profile of degree of precision, high efficient and reliable.
Description
Technical field
The present application relates to GNSS Radio Occultation atmospheric sounding techniques and meteorology field, and in particular to based on ionization
The GNSS occultation Ionosphere Residual Error modification method and system of layer electron density.
Background technique
GNSS LEO occultation technology can obtain high vertical resolution, high-precision, be not necessarily to calibration, is steady in a long-term, round-the-clock
The Vertical Profile of the physical parameters such as air index, density, temperature, humidity and pressure.
The successive implementation of GNSS LEO occultation plan provides completely new number for global climate monitoring and numerical weather forecast
According to source.GNSS occultation data product has been applied in the climatic analysis of two decadal time scales, analysis the result shows that: Mid-low latitude
The temperature accuracy of troposphere top and stratosphere bottom (8-25km altitude range), single Observation of Occultation profile is better than 1K, monthly average temperature
It spends precision and is better than 0.2K, requirement of the global climate monitoring system to temperature accuracy can be met.European Center for Medium Weather Forecasting
Research shows that: after assimilation GNSS Observation of Occultation data, numerical weather forecast precision has apparent improvement.
Rise with height, ionosphere effect is increasing, and Inverting Terrestrial Atmospheric Parameters precision gradually decreases, stratosphere top and centre
Layer bottom (25-60km altitude range) occultation data precision has been unable to meet the requirement of weather meteorology application.Currently, the world is major
Ionosphere Residual Error in the initialization procedure of coboundary, by statistic optimization, is used background by GNSS occultation data processing centre
Atmospheric model information does not reflect really greatly from the quality of substantial improvement GNSS Observation of Occultation data to correct or replace
The physical state of gas.
Currently, bending angle double frequency LINEAR COMBINATION METHOD is the most common ionosphere correcting method of GNSS occultation Data processing.
However, still containing Ionosphere Residual Error with the bending angle that double frequency LINEAR COMBINATION METHOD corrects, which is that restriction GNSS occultation is on the middle and senior level
The main bottleneck of Atmospheric Survey.
In order to weaken the influence of Ionosphere Residual Error, there is that scholar proposes " statistical property " and Kappa bending angle ionosphere is residual
Poor modification method.The solar cycle and daytime of " statistical property " and Kappa modification method dependent on bending angle Ionosphere Residual Error
Statistical properties or the ionosphere priori statistics such as night variation.Therefore, they are suitable for the climatic change trend of big spatial and temporal scales
Analysis, but it is not suitable for the Ionosphere Residual Error amendment and local synoptic weather observation analysis in short-term of single occultation event.Currently, more advanced
Kappa modification method to be based on neutral atmosphere and ionosphere ball symmetrical it is assumed that having ignored electron density along occultation signal path point
The non-uniform influence of cloth, reliability and accuracy are poor.
In conclusion bending angle Ionosphere Residual Error is 25-60km altitude range GNSS occultation data high-precision inverting of restriction
Principal element；Kappa bending angle Ionosphere Residual Error modification method is based on neutral atmosphere and ionosphere ball is symmetrical it is assumed that having ignored
Electron density is a kind of simple statistics empirical model, reliability along the influence unevenly distributed of occultation signal path
It is poor with accuracy.
Summary of the invention
It is an object of the invention to break through the limitation of existing Ionosphere Residual Error modification method, 25-60km height models are realized
GNSS occultation data high-precision inverting is enclosed, it is residual to provide a kind of GNSS occultation ionosphere for taking ionospheric electron density asymmetry into account
Poor modification method.
To achieve the goals above, the invention proposes a kind of, and the GNSS occultation ionosphere based on ionospheric electron density is residual
Poor modification method, which comprises
GNSS occultation original observed data and ionosphere vTEC maps data are pre-processed, it is several to obtain GNSS occultation
What data and ionospheric data；
Based on GNSS occultation geometric data, ionospheric data and three-dimensional NeUoG ionosphere model, calculate " incident ray " and
The electron density profile of " emergent ray " side ionosphere point of puncture position；
Based on GNSS occultation geometric data and electron density profile, bending angle Ionosphere Residual Error profile is calculated.
As a kind of improvement of the above method, the GNSS occultation geometric data includes: that position, occultation occur for occultation event
Point of contact radius of curvature, geoidal rise, affecting parameters, GNSS satellite position vector, LEO satellite position vector, " incidence
Line " side ionosphere point of puncture position vector, " emergent ray " side ionosphere point of puncture position vector；The ionospheric data includes:
VTEC and " emergent ray " side ionosphere puncture at solar activity intensity F10.7 index, " incident ray " side ionosphere point of puncture position
VTEC at point position.
It is described to be based on GNSS occultation geometric data, ionospheric data and three-dimensional NeUoG as a kind of improvement of the above method
Ionosphere model calculates the electron density profile of " incident ray " and " emergent ray " side ionosphere point of puncture position；It specifically includes:
Step 2-1) using GNSS occultation geometric data and three-dimensional NeUoG ionosphere model, it is " incident to calculate occultation event
Ionospheric electron density profile at line " and " emergent ray " side ionosphere point of puncture positionWithAnd vTEC valueWith
Step 2-2) GNSS occultation geometric data and ionospheric data are used, calculate " incident ray " and the ionization of " emergent ray " side
VTEC value at layer point of puncture positionWith
Step 2-3) calculate separately electron density profile at " incident ray " and " emergent ray " side ionosphere point of puncture position
NeI350TAnd NeI350R:
It is described to be based on GNSS occultation geometric data and electron density profile as a kind of improvement of the above method, it calculates curved
Bent angle Ionosphere Residual Error profile, specifically includes:
Step 3-1) ionospheric electron density quadratic term is calculated along the occultation electric wave signal path GNSS and low orbit satellite
Cumulative effect value F (a):
Wherein, NeI350R(rL) it is ionospheric electron density value at LEO satellite, a is affecting parameters, rGAnd rLRespectively GNSS
With the position vector of LEO satellite；
Step 3-2) calculate bending angle Ionosphere Residual Error profile Δ α (a):
Wherein, C is constant 40.308, f1And f2For the frequency of the two-frequency signal L1 and L2 of GPS.
The present invention also provides a kind of GNSS occultation Ionosphere Residual Error update the system based on ionospheric electron density, it is described
System includes:
Preprocessing module, for being pre-processed to GNSS occultation original observed data and ionosphere vTEC maps data,
Obtain GNSS occultation geometric data and ionospheric data；
Electron density calculates module, for being based on GNSS occultation geometric data, ionospheric data and the three-dimensional ionosphere NeUoG
Mode calculates the electron density profile of " incident ray " and " emergent ray " side ionosphere point of puncture position；
Residual GM module calculates bending angle ionosphere for being based on GNSS occultation geometric data and electron density profile
Residual error profile.
The present invention also provides a kind of computer equipment, including memory, processor and it is stored on the memory simultaneously
The computer program that can be run on the processor, the processor realize above-mentioned side when executing the computer program
Method.
The present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage has calculating
Machine program, the computer program make the processor execute above-mentioned method when being executed by a processor.
Present invention has an advantage that
1, the GNSS occultation Ionosphere Residual Error modification method and system of the invention based on ionospheric electron density, can integrate
Data and ionosphere model data are observed with ionosphere, fully consider asymmetry of the ionospheric electron density along signal path
Property；
2, the GNSS occultation Ionosphere Residual Error modification method and system of the invention based on ionospheric electron density, can be used for
In single GNSS occultation event atmospheric parameter inverting, to weaken the influence of Ionosphere Residual Error, to obtain the GNSS of degree of precision
Occultation bending angle profile, high efficient and reliable；
3, the GNSS occultation Ionosphere Residual Error modification method and system of the invention based on ionospheric electron density, Neng Gouxiao
Influence of the light current absciss layer refraction effect to GNSS occultation neutral atmosphere bending angle profile improves the precision of bending angle profile.
Detailed description of the invention
Fig. 1 is the GNSS occultation Ionosphere Residual Error modification method based on ionospheric electron density of the embodiment of the present invention 1
Flow chart；
Fig. 2 be the embodiment of the present invention on July 15th, 2008 GPS/MetOp-A whole day occultation event bending angle ionosphere
Residual error profile and its statistic analysis result schematic diagram；
Fig. 3 be the embodiment of the present invention on July 15th, 2013 GPS/MetOp-A whole day occultation event bending angle ionosphere
Residual error profile and its statistic analysis result schematic diagram.
Specific embodiment
To be more clear the purpose of the present invention and technical solution, with reference to the accompanying drawings and examples to technology of the invention
Scheme is described in detail.
In view of correlation theory and technology, if the Ionosphere Residual Error profile of double frequency bending angle LINEAR COMBINATION METHOD can be estimated,
Ionospheric refraction effects can further be weakened in GNSS occultation atmospheric parameter inverting to neutral atmosphere bending angle profile essence
The influence of degree, and then inverting obtains high-precision GNSS occultation atmosphere data product.
Embodiment 1
As shown in Figure 1, to provide a kind of GNSS occultation ionosphere based on ionospheric electron density residual for the embodiment of the present invention 1
Poor modification method, this method consider ionospheric electron density asymmetry, method includes the following steps:
S11, GNSS occultation geometric data and ionospheric data are obtained by data prediction；
The present embodiment is counted using the vTEC maps data product of GPS-MetOp Observation of Occultation data and the publication of the station IGS
It is verified according to processing and model, the basic input parameter based on GNSS occultation geometry input parameter is shown in Table 1:
1 bending angle Ionosphere Residual Error correction model of table inputs parameter substantially
S12, determine that ionosphere inputs parameter according to the observation data and ionosphere model；
Model described in integrated use inputs parameter substantially and ionosphere model data determine Ionosphere Residual Error correction model
Ionosphere input parameter；
The present embodiment calculates occultation event using three-dimensional NeUoG ionosphere model data and the occultation geometric parameter and " enters
Ionospheric electron density profile at ray " and " emergent ray " side ionosphere point of puncture positionWithAnd vTEC
ValueWith
" incident ray " and " outgoing are calculated using the vTEC maps data product and the occultation geometric parameter of IGS publication
VTEC value at the point of puncture position of line " side ionosphereWith
" incident ray " and " emergent ray " side ionosphere is calculated with normalized method by following formula and punctures point
Electron density profile Ne after setting place's reductionI350TAnd NeI350R。
Due to ionospheric electron density asymmetry, NeI350TAnd NeI350RIt is not identical.
S13, GNSS occultation bending angle Ionosphere Residual Error is established according to the GNSS occultation geometry and ionosphere input parameter
Model；
It is calculated by the following formula ionospheric electron density quadratic term, along the occultation electric wave signal path GNSS and low orbit satellite
The cumulative effect at place:
Wherein, NeI350TFor the ionospheric electron density profile of " incident ray " side, NeI350RFor the ionosphere of " emergent ray " side
Electron density profile, NeI350R(rL) it is ionospheric electron density value at LEO satellite, a is affecting parameters, rGAnd rLRespectively GNSS
With the position vector of LEO satellite；
The Ionosphere Residual Error model is established by following formula, to calculate bending angle Ionosphere Residual Error profile:
Wherein, C is constant 40.308, f1And f2For the frequency of the two-frequency signal L1 and L2 of GPS, a is to influence high, αC(a) it is
Bending angle profile after double frequency linear combination electric eliminating absciss layer error, α (a) are original curved angle profile, and Δ α (a) is bending angle electricity
Absciss layer residual error profile.
S14, GNSS occultation bending angle Ionosphere Residual Error profile is obtained according to the Ionosphere Residual Error model.
Fig. 2 and Fig. 3 is respectively (to represent the sun on July 15th, 2008 (representing solar activity low year) and on July 15th, 2013
Activity high year) whole day GPS-MetOp occultation event bending angle Ionosphere Residual Error profile and its statistic analysis result.It can see
Out, the average deviation of the low year Ionosphere Residual Error profile of solar activity and standard deviation year higher than solar activity is small.Fig. 2 and Fig. 3 give
The result of bending angle Ionosphere Residual Error profile and statistical result and Kappa bending angle Ionosphere Residual Error correction model out is close.
Also, the ionosphere that GNSS occultation bending angle Ionosphere Residual Error modification method proposed by the present invention can be used for single occultation event is residual
Difference amendment, residual error profile are more acurrate reliable.The above simulation result confirms the reliability of method proposed by the present invention and superior
Property.
Embodiment 2
The embodiment of the present invention 2 provides a kind of GNSS occultation Ionosphere Residual Error amendment system based on ionospheric electron density
System, the system comprises:
Preprocessing module, for being pre-processed to GNSS occultation original observed data and ionosphere vTEC maps data,
Obtain GNSS occultation geometric data and ionospheric data；
Electron density calculates module, for being based on GNSS occultation geometric data, ionospheric data and the three-dimensional ionosphere NeUoG
Mode calculates the electron density profile of " incident ray " and " emergent ray " side ionosphere point of puncture position；
Residual GM module calculates bending angle ionosphere for being based on GNSS occultation geometric data and electron density profile
Residual error profile.
Embodiment 3
The embodiment of the present invention 3 provides a kind of computer equipment, including memory, processor and is stored in the storage
On device and the computer program that can run on the processor, the processor is realized when executing the computer program to be implemented
The method of example 1.
Embodiment 4
The embodiment of the present invention 4 provides a kind of computer readable storage medium, and the computer readable storage medium is deposited
Contain computer program, the method that the computer program makes the processor execute embodiment 1 when being executed by a processor.
Those of ordinary skill in the art will appreciate that all or part of the steps in the above method can be instructed by program
Related hardware is completed, and described program can store in computer readable storage medium, such as read-only memory, disk or CD
Deng.Optionally, one or more integrated circuits can be used also to realize in all or part of the steps of above-described embodiment.Accordingly
Ground, each module/unit in above-described embodiment can take the form of hardware realization, can also use the shape of software function module
Formula is realized.The present invention is not limited to the combinations of the hardware and software of any particular form.
It should be noted last that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting.Although ginseng
It is described the invention in detail according to embodiment, those skilled in the art should understand that, to technical side of the invention
Case is modified or replaced equivalently, and without departure from the spirit and scope of technical solution of the present invention, should all be covered in the present invention
Scope of the claims in.
Claims (7)
1. a kind of GNSS occultation Ionosphere Residual Error modification method based on ionospheric electron density, which comprises
GNSS occultation original observed data and ionosphere vTEC maps data are pre-processed, GNSS occultation geometry number is obtained
According to and ionospheric data；
Based on GNSS occultation geometric data, ionospheric data and three-dimensional NeUoG ionosphere model, " incident ray " and " outgoing are calculated
The electron density profile of line " side ionosphere point of puncture position；
Based on GNSS occultation geometric data and electron density profile, bending angle Ionosphere Residual Error profile is calculated.
2. the GNSS occultation Ionosphere Residual Error modification method according to claim 1 based on ionospheric electron density, special
Sign is that the GNSS occultation geometric data includes: that position, occultation point of contact radius of curvature, geoid occur for occultation event
Gap, affecting parameters, GNSS satellite position vector, LEO satellite position vector, " incident ray " side ionosphere point of puncture position arrow
Amount, " emergent ray " side ionosphere point of puncture position vector；The ionospheric data include: solar activity intensity F10.7 index,
VTEC and vTEC at the point of puncture position of " emergent ray " side ionosphere at the point of puncture position of " incident ray " side ionosphere.
3. the GNSS occultation Ionosphere Residual Error modification method according to claim 2 based on ionospheric electron density, special
Sign is, described to be based on GNSS occultation geometric data, ionospheric data and three-dimensional NeUoG ionosphere model, calculates " incident ray "
The electron density profile of " emergent ray " side ionosphere point of puncture position；It specifically includes:
Step 2-1) using GNSS occultation geometric data and three-dimensional NeUoG ionosphere model, calculating occultation event " incident ray " and
Ionospheric electron density profile at the point of puncture position of " emergent ray " side ionosphereWithAnd vTEC valueWith
Step 2-2) GNSS occultation geometric data and ionospheric data are used, it calculates " incident ray " and " emergent ray " side ionosphere and wears
VTEC value at thorn point positionWith
Step 2-3) calculate separately electron density profile Ne at " incident ray " and " emergent ray " side ionosphere point of puncture positionI350T
And NeI350R:
4. the GNSS occultation Ionosphere Residual Error modification method according to claim 3 based on ionospheric electron density, special
Sign is, described to be based on GNSS occultation geometric data and electron density profile, calculates bending angle Ionosphere Residual Error profile, specific to wrap
It includes:
Step 3-1) calculate accumulation of the ionospheric electron density quadratic term along the occultation electric wave signal path GNSS and low orbit satellite
Influence value F (a):
Wherein, NeI350R(rL) it is ionospheric electron density value at LEO satellite, a is affecting parameters, rGAnd rLRespectively GNSS and
The position vector of LEO satellite；
Step 3-2) calculate bending angle Ionosphere Residual Error profile Δ α (a):
Wherein, C is constant 40.308, f1And f2For the frequency of the two-frequency signal L1 and L2 of GPS.
5. a kind of GNSS occultation Ionosphere Residual Error update the system based on ionospheric electron density, which is characterized in that the system
Include:
Preprocessing module is obtained for pre-processing to GNSS occultation original observed data and ionosphere vTEC maps data
GNSS occultation geometric data and ionospheric data；
Electron density calculates module, for being based on GNSS occultation geometric data, ionospheric data and the three-dimensional ionosphere NeUoG mould
Formula calculates the electron density profile of " incident ray " and " emergent ray " side ionosphere point of puncture position；
Residual GM module calculates bending angle Ionosphere Residual Error for being based on GNSS occultation geometric data and electron density profile
Profile.
6. a kind of computer equipment, including memory, processor and it is stored on the memory and can be on the processor
The computer program of operation, which is characterized in that the processor is realized in Claims 1-4 when executing the computer program
Described in any item methods.
7. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program make the processor perform claim require 1 to 4 described in any item sides when being executed by a processor
Method.
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| CN111323797A (en) * | 2020-03-17 | 2020-06-23 | 中国科学院国家空间科学中心 | Method for inverting convective stratum top parameter by using GNSS atmospheric occultation bending angle data |
| CN111505742A (en) * | 2020-04-29 | 2020-08-07 | 中国科学院国家空间科学中心 | Parameter gridding method and system for GNSS ionosphere occultation data climate research |
| CN111505741A (en) * | 2020-04-29 | 2020-08-07 | 中国科学院国家空间科学中心 | Data screening method and system for GNSS ionosphere occultation data climate research |
| CN111323798B (en) * | 2020-03-24 | 2021-04-09 | 中国科学院国家空间科学中心 | GNSS occultation ionosphere error correction method and system based on ionosphere observation data |
| CN113189620A (en) * | 2021-04-13 | 2021-07-30 | 中国科学院国家空间科学中心 | GNSS occultation near space climate data inversion method and system |
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| CN111323798B (en) * | 2020-03-24 | 2021-04-09 | 中国科学院国家空间科学中心 | GNSS occultation ionosphere error correction method and system based on ionosphere observation data |
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| CN113609757A (en) * | 2021-07-13 | 2021-11-05 | 中国科学院国家空间科学中心 | GNSS occultation troposphere parameter correction method based on random forest regression |
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