CN108760662A - A kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm - Google Patents
A kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm Download PDFInfo
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- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 title claims abstract description 69
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 23
- 238000001228 spectrum Methods 0.000 claims abstract description 24
- 230000005855 radiation Effects 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 230000005540 biological transmission Effects 0.000 claims abstract description 9
- 238000012546 transfer Methods 0.000 claims abstract description 4
- 238000012937 correction Methods 0.000 claims description 9
- 230000010287 polarization Effects 0.000 claims description 3
- 238000000205 computational method Methods 0.000 claims description 2
- 239000005436 troposphere Substances 0.000 abstract description 7
- 239000002028 Biomass Substances 0.000 abstract description 3
- 238000002485 combustion reaction Methods 0.000 abstract description 3
- 230000002285 radioactive effect Effects 0.000 abstract description 2
- 238000004611 spectroscopical analysis Methods 0.000 abstract description 2
- 239000005437 stratosphere Substances 0.000 description 6
- 230000007613 environmental effect Effects 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
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- G01N21/33—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using ultraviolet light
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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Abstract
The invention discloses a kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithms, including step 1 to carry out radiometric calibration and wavelength calibration using ozone monitoring instrument-OMI；Step 2 carries out radiative transfer model and weighting function calculates；Step 3 in completing step 1 ozone monitoring instrument-OMI radiometric calibrations and wavelength calibration and using step 2 in the radiation spectrum analogue value that calculates and weighting function parameter, carry out being based on optimal estimation techniques algorithm inverting atmospheric ozone profile information.The present invention utilizes OMI ultraviolet radioactive spectroscopic datas, selection fitting wave band UV-1 and UV-2 establish a kind of algorithm, based on optimal estimation techniques, can inverting from earth's surface to 60km atmospheric ozone profile information, including total concentration of ozone column, Tropospheric ozone column concentration and stratospheric ozone column concentration, it realizes accurately inverting troposphere atmospheric ozone profile, can be used to analyze the relationship between atmospheric ozone convective motion, exchange process, biomass combustion and mankind's pollution and tracks the space-time transmission of ozone.
Description
Technical field
The present invention relates to environmental science, satellite remote sensing technology field, specially a kind of Atmospheric Remote Sensing by Satellite ozone profile is anti-
Algorithm.
Background technology
Hundreds of a ten thousandths of atmospheric ozone duty gas each component but generate important shadow to global climate and environmental change
It rings.From the last century 70's, a series of sun that total concentration of ozone column and ozone profile are carried from NASA and NOAA satellites
It is finally inversed by and in back scattering ultraviolet instrumentation measurement data.Since the resolution of these instruments is low, it can only therefrom be finally inversed by (20-
25km) vertical ozone profile information and the cloud level degree of -50km or more concentration of ozone column result.To obtain more low clearance ozone
Vertical Profile information needs to use high-resolution EO-1 hyperion instrument.Compared to sun back scattering ultraviolet instrumentation, pass through inverting height
Differentiate EO-1 hyperion instrument-GOME (Global Ozone Monitoring Experiment, global ozone monitoring experiment) data
More Lower stratosphere ozone information can be obtained, but still can not strictly determine Tropospheric ozone information.
In order to obtain Tropospheric ozone Vertical Profile information, need to carry out accurate wavelength and radiation calibration and using accurate
True forward model.By establishing this algorithm, we can be finally inversed by Tropospheric ozone information.In addition, by using country
Troposphere is analyzed again and is risen in environmental forecasting center (National Center for Environment Prediction, NCEP)
Degrees of data can be finally inversed by total concentration of ozone column, Tropospheric ozone column concentration and stratospheric ozone column concentration.The NASA earth is seen
For examining system (Earth Observing System, EOS) ring of light satellite launch on July 15th, 2004, it carried 4 observations
Instrument, including ozone monitoring instrument (Ozone Monitoring Instrument, OMI).To scattered after the OMI measurement sun
Radiation is penetrated there are three channel, their wave-length coverage is respectively：Ultraviolet 1 (270-310, UV-1), ultraviolet 2 (310-365, UV-2)
With visible waveband (350-500).OMI has broader field angle (114 °) and higher spatial resolution (13km × 48km).
Invention content
The purpose of the present invention is to provide a kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm, by accurate wavelength and
Radiation calibration and the accurate forward model of use, are realized from earth's surface to the inverting of 60km atmospheric ozone profile information, and pass through
Atmospheric ozone profile can be used to analyze the pass between atmospheric ozone convective motion, exchange process, biomass combustion and mankind's pollution
The space-time transmission of system and tracking ozone, to solve problems of the prior art.
To achieve the above object, the present invention provides the following technical solutions：A kind of Atmospheric Remote Sensing by Satellite ozone profile inverting calculation
Method includes the following steps：
S1：Radiometric calibration and wavelength calibration are carried out using ozone monitoring instrument-OMI；
S2：It carries out radiative transfer model and weighting function calculates；
S3：It completes ozone monitoring instrument-OMI radiometric calibrations and wavelength calibration in S1 and utilizes the radiant light calculated in S2
Spectrum analog value and weighting function parameter carry out being based on optimal estimation techniques algorithm inverting atmospheric ozone profile information.
As a further solution of the present invention：Calibration method in the step S1 is as follows：
S1.1：It is fitted the adjustment of window different spatial resolutions；
S1.2：Inversion speed optimizes；
S1.3：Solar irradiance spectrum optimizes；
S1.4：Instrumental line shape function calculates；
S1.5：Stray light error correction.
As a further solution of the present invention：In the step S2 radiation patterns are calculated with VLIDORT vector models
And weighting function, the operational mode of VLIDORT models are divided into：Scalar mode and vector pattern, the calculating under scalar mode
Speed an order of magnitude faster than vector pattern calculating speed.
As a further solution of the present invention：Computational methods in the step S2 are as follows：
S2.1：Select 10 wavelength, to the wavelength that has selected using the both of which of VLIDORT models calculate radiation transmission and
Weighting function, thus to obtain polarization correction parameter；
S2.2：Radiation transmission and weighting function, and the meter that will be calculated in S2.1 are calculated using scalar mode to all wavelengths
Correction parameter difference is drawn to all wavelengths.
Compared with prior art, the beneficial effects of the invention are as follows：
1, this Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm, compared with the prior art, signal degree of freedom increased,
The ozone profile of inverting includes 6-7 signal degree of freedom, and wherein 5-7 is a in stratosphere, and troposphere is 0-1.5.
2, this Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm, compared with the prior art, vertical resolution improves, anti-
The ozone profile vertical resolution drilled is 7-11km in stratosphere, and troposphere is 10-14km.
3, this Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm, compared with the prior art, inversion accuracy improves, inverting essence
Spend ranging from 1%-10% therefrom stratosphere to Lower stratosphere and troposphere.
4, this Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm, compared with the prior art, Algorithm Error (with smooth miss by precision
Poor root sum square) reduce, error range be (1-6%)-(6-35%) therefrom stratosphere to troposphere.
Specific implementation mode
The embodiment of the present invention is will be detailed below, however, the embodiment of the present invention is not limited thereto.Based in the present invention
Embodiment, every other embodiment obtained by those of ordinary skill in the art without making creative efforts,
It shall fall within the protection scope of the present invention.
In the embodiment of the present invention, in order to realize accurate inverting atmospheric ozone profile information, added in algorithm software
Following ozone monitoring instrument-OMI radiometric calibrations and wavelength calibration step, i.e., a kind of Atmospheric Remote Sensing by Satellite ozone profile inverting are calculated
Method includes the following steps：
The first step：Radiometric calibration and wavelength calibration are carried out using ozone monitoring instrument-OMI；It includes：
(1) fitting window different spatial resolutions adjustment：Two windows of ozone monitoring instrument-OMI are selected to carry out spectrum
Fitting, is UV-1 (270-310nm) and UV-2 (310-330nm) respectively；Due to UV-1 and UV-2 spectra collection spatial resolutions
Difference, the UV-1 spatial resolutions that spectra inversion uses, using two UV-2 spectrum superpositions matching the spaces UV-1 when inverting
Resolution ratio；
(2) inversion speed optimizes：Since the simulation of spectral radiance is that each wavelength is effective by fitting OMI inversion windows
Absorption cross-section realizes, therefore using superposition 5 adjacent spectrum pixels of UV-1 windows and UV-2 windows 2 adjacent spectrum pictures
Vegetarian refreshments accelerates inversion speed；
(3) solar irradiance spectrum optimizes：Since the OMI solar irradiance spectrum measured do not have in selected fitting window wave band
There is apparent natural trend, but the solar irradiance spectrum that every OMI is measured all has short-term noise and seasonal variety mistake
Difference, therefore using 3 years (2005-2007) average solar irradiance spectrum that OMI is measured, to reduce short-term noise and season
Property variation error；Earth light spectrum is standardized with the solar irradiance spectrum that is averaged；
(4) instrumental line shape function accurately calculates：In order to obtain accurate instrumental line shape function, by calculating OMI irradiation level
Spectrum refers to spoke cross-correlation with high-resolution solar irradiance, from each channel of OMI atmospheric irradiance spectrum, each cross
Slit width is derived to scan position and Gauss slit function is assumed in convolutional calculation；
(5) stray light error correction：It was found that the L1b data regression criterion of OMI offers is in certain periods, there are some to consolidate
Some error structures, this cause radiation spectrum compared with short-wave band by sky cloud effect, it is meant that UV-1 and UV-2 short-wave bands be fitted
Residual error can increase with the increase of cloud amount, this can cause a deviation to inversion result, by radiation spectrum application single order amendment
Amount carries out stray light error correction, and first-order correction is calculated by the regression criterion of two days average simulated spectras and measure spectrum
It arrives；
Second step：It carries out radiative transfer model and weighting function calculates；Using VLIDORT vector models come calculate radiation and
Weighting function, VLIDORT models can be run under scalar mode and vector pattern both of which, the calculating speed under scalar mode
An order of magnitude faster than vector pattern calculating speed；For OMI invertings, specifically include：
(1) about 10 wavelength are selected, being all made of both of which to the wavelength selected calculates radiation transmission and weighting function：
Scalar mode and vector pattern calculate, thus to obtain polarization correction parameter；
(2) radiation transmission and weighting function, and the plan school that will be calculated in (1) are calculated using scalar mode to all wavelengths
Positive parameter difference is to all wavelengths, and for OMI inverting spectral windows, calculating speed is than vector pattern calculating speed in this way
Fast 6 times are spent, this is of great significance for the processing of OMI satellite mass data；
Third walks：It completes ozone monitoring instrument-OMI radiometric calibrations and wavelength calibration in the first step and utilizes in second step
The radiation spectrum analogue value and weighting function parameter of calculating believed based on optimal estimation techniques algorithm inverting atmospheric ozone profile
Breath；Its refutation process includes mainly：
(1) cost function is established：That is, so-called cost function while minimizing the radiation value and mould of observation in an iterative manner
Quasi- radiation value and inverting value (X) and priori value (Xa) before difference, establish cost function be expressed as equation (1),
Its constraint matrix is measurement error covariance matrix (Sy) and priori covariance matrix (Sa)
(2)Xi+1And XiIndicate that state vector, i indicate iterations, state vector fitting parameter listed in the following table 1；Shape
State vector is made of each layer of concentration of ozone column and other auxiliary parameters；Y is to measure vector, i.e. sun standardization radiation logarithm；R
Represent forward model, R (Xi) expression state vector be XiThe sun standardization radiation logarithm analogue value；KiWeighting function is represented, is defined
For
(3) posteriority solution Xi+1Method for solving：For MAP estimation equation, solving state is vectorial by way of iteration,
Its expression formula is equation (2)：
1 state vector fitting parameter of table and its quantity, priori value and prior uncertainty
In summary：This Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm utilizes OMI ultraviolet radioactive spectroscopic datas, selection
Be fitted wave band UV-1 and UV-2, establish a kind of algorithm, the algorithm be based on optimal estimation techniques, can inverting from earth's surface to 60km air
Ozone profile information is realized accurate including total concentration of ozone column, Tropospheric ozone column concentration and stratospheric ozone column concentration
Inverting troposphere atmospheric ozone profile in true ground can be used to analyze atmospheric ozone convective motion, exchange process, biomass combustion and people
The space-time transmission of relationship and tracking ozone between class pollution.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm, which is characterized in that include the following steps：
S1：Radiometric calibration and wavelength calibration are carried out using ozone monitoring instrument-OMI；
S2：It carries out radiative transfer model and weighting function calculates；
S3：It completes ozone monitoring instrument-OMI radiometric calibrations and wavelength calibration in S1 and utilizes the radiation spectrum mould calculated in S2
Analog values and weighting function parameter carry out being based on optimal estimation techniques algorithm inverting atmospheric ozone profile information.
2. a kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm according to claim 1, which is characterized in that the step
Calibration method in S1 is as follows：
S1.1：It is fitted the adjustment of window different spatial resolutions；
S1.2：Inversion speed optimizes；
S1.3：Solar irradiance spectrum optimizes；
S1.4：Instrumental line shape function calculates；
S1.5：Stray light error correction.
3. a kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm according to claim 1, which is characterized in that the step
Radiation patterns and weighting function are calculated with VLIDORT vector models in S2, the operational mode of VLIDORT models is divided into：
Scalar mode and vector pattern, calculating speed an order of magnitude faster than vector pattern calculating speed under scalar mode.
4. a kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm according to claim 3, which is characterized in that the step
Computational methods in S2 are as follows：
S2.1：10 wavelength are selected, radiation transmission and weighting are calculated using the both of which of VLIDORT models to the wavelength selected
Function, thus to obtain polarization correction parameter；
S2.2：Radiation transmission and weighting function, and the plan school that will be calculated in S2.1 are calculated using scalar mode to all wavelengths
Positive parameter difference is to all wavelengths.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109597969A (en) * | 2019-01-25 | 2019-04-09 | 南京大学 | A kind of surface ozone Concentration Estimation Method |
| CN111339665A (en) * | 2020-02-27 | 2020-06-26 | 中国科学院空天信息创新研究院 | Troposphere ozone profile calculation method |
| CN111537455A (en) * | 2020-05-08 | 2020-08-14 | 中国科学院合肥物质科学研究院 | Atmospheric CO based on spatial heterodyne interference spectrum measurement technology2Satellite observation inversion method |
| CN111678880A (en) * | 2020-06-04 | 2020-09-18 | 生态环境部卫星环境应用中心 | Satellite remote sensing identification method and system for stratospheric ozone invading lower layer in troposphere |
| CN112304890A (en) * | 2020-11-27 | 2021-02-02 | 重庆商勤科技有限公司 | Method and system for monitoring ozone concentration by airborne spectrum remote sensing |
| CN112712220A (en) * | 2021-03-26 | 2021-04-27 | 北京英视睿达科技有限公司 | Method and device for estimating ground ozone concentration and computer equipment |
| CN113376324A (en) * | 2021-06-09 | 2021-09-10 | 安徽大学 | Space atmosphere ozone short-term and temporary early warning system |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109597969A (en) * | 2019-01-25 | 2019-04-09 | 南京大学 | A kind of surface ozone Concentration Estimation Method |
| CN111339665A (en) * | 2020-02-27 | 2020-06-26 | 中国科学院空天信息创新研究院 | Troposphere ozone profile calculation method |
| CN111339665B (en) * | 2020-02-27 | 2024-06-18 | 中国科学院空天信息创新研究院 | Troposphere ozone profile calculation method |
| CN111537455A (en) * | 2020-05-08 | 2020-08-14 | 中国科学院合肥物质科学研究院 | Atmospheric CO based on spatial heterodyne interference spectrum measurement technology2Satellite observation inversion method |
| CN111537455B (en) * | 2020-05-08 | 2023-08-15 | 中国科学院合肥物质科学研究院 | Atmospheric CO based on spatial heterodyne interferometry 2 Satellite observation inversion method |
| CN111678880A (en) * | 2020-06-04 | 2020-09-18 | 生态环境部卫星环境应用中心 | Satellite remote sensing identification method and system for stratospheric ozone invading lower layer in troposphere |
| CN111678880B (en) * | 2020-06-04 | 2021-05-11 | 生态环境部卫星环境应用中心 | Satellite remote sensing identification method and system for stratospheric ozone invading lower layer in troposphere |
| CN112304890A (en) * | 2020-11-27 | 2021-02-02 | 重庆商勤科技有限公司 | Method and system for monitoring ozone concentration by airborne spectrum remote sensing |
| CN112712220A (en) * | 2021-03-26 | 2021-04-27 | 北京英视睿达科技有限公司 | Method and device for estimating ground ozone concentration and computer equipment |
| CN112712220B (en) * | 2021-03-26 | 2021-06-22 | 北京英视睿达科技有限公司 | Method and device for estimating ground ozone concentration and computer equipment |
| CN113376324A (en) * | 2021-06-09 | 2021-09-10 | 安徽大学 | Space atmosphere ozone short-term and temporary early warning system |
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