CN110455689A - A method of the light scattering characteristic of simulation ice crystals - Google Patents
A method of the light scattering characteristic of simulation ice crystals Download PDFInfo
- Publication number
- CN110455689A CN110455689A CN201910711207.2A CN201910711207A CN110455689A CN 110455689 A CN110455689 A CN 110455689A CN 201910711207 A CN201910711207 A CN 201910711207A CN 110455689 A CN110455689 A CN 110455689A
- Authority
- CN
- China
- Prior art keywords
- ice crystals
- model
- particle
- cloud
- bubble
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000013078 crystal Substances 0.000 title claims abstract description 76
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000000149 argon plasma sintering Methods 0.000 title claims abstract description 19
- 238000004088 simulation Methods 0.000 title description 4
- 239000002245 particle Substances 0.000 claims abstract description 62
- 239000012535 impurity Substances 0.000 claims abstract description 38
- 230000003287 optical effect Effects 0.000 claims abstract description 28
- 230000005855 radiation Effects 0.000 claims abstract description 23
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 8
- 230000005540 biological transmission Effects 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims abstract description 7
- 239000007787 solid Substances 0.000 claims description 7
- 241000220317 Rosa Species 0.000 claims description 4
- 241000276425 Xiphophorus maculatus Species 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 239000012798 spherical particle Substances 0.000 claims description 3
- 239000008276 ice cloud Substances 0.000 description 5
- 239000000428 dust Substances 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- JEGUKCSWCFPDGT-UHFFFAOYSA-N h2o hydrate Chemical compound O.O JEGUKCSWCFPDGT-UHFFFAOYSA-N 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N2021/1793—Remote sensing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N2021/4733—Discriminating different types of scatterers
Landscapes
- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Dispersion Chemistry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Crystals, And After-Treatments Of Crystals (AREA)
Abstract
This application discloses a kind of methods of light scattering characteristic for simulating ice crystals, solve the problems, such as that the prior art does not consider that bubble and impurity cause inversion accuracy inadequate in ice crystals.Construct ice crystals model;Add bubble and/or impurity model, the conductivity and refractive index that adjust bubble and impurity model at random in a model;Scattering is calculated to function and collision matrix with Random inhomegeneous media scattering program;The absorbing path and non-absorbing channel radiation value, cloud optical thickness and ice efficient radius of cloud particle of satellite sensor are calculated with RSTAR radiative transmission mode;The radiation value in absorbing path and non-absorbing channel, cloud optical thickness, ice efficient radius of cloud particle, water efficient radius of cloud particle are constructed into look-up table;Cloud optical thickness and efficient radius of cloud particle are calculated with the radiation value of moonscope by searching for meter.The application method significantly improves the inversion accuracy of efficient radius of cloud particle and cloud optical thickness.
Description
Technical field
This application involves atmospheric remote sensing field more particularly to a kind of methods for the light scattering characteristic for simulating ice crystals.
Background technique
Ice cloud is covered with the 30%-40% of earth surface, is research atmospheric radiation revenue and expenditure and the important sight of cloud-climatic dynamics
Survey factor.Climate model simulation and satellite remote sensing inversion technique are for illustrating the radiation of ice cloud and optical characteristics in weather system
A kind of very effective method.First INSAT international satellite's cloud based on spacecraft-climatology project (ISCCP) regional experiment
(FIRE) and international cirrus experiment (ICE) verified ice cloud is mainly made of aspherical ice crystal.They are different from, by spherical
The warm water water dust of grain composition.Lorenz-Mie theory explicitly describes single scattering characteristic of the spheroidal particle in warm water cloud.It utilizes
Sensing data, the single-scattering of spheroidal particle and radiation transmission program can Retrieval of Cloud optical characteristics and microphysical property
Such as, optical depth, effective particle size etc..Different from spheroidal particle, the single-scattering of aspherical ice crystal is by several multiple
What miscellaneous numerical value light scattering algorithm determined.
The method for being usually used in calculating ice crystals single-scattering has geometrical optics approximation method (GOA), improved geometry
Optical means IGOM, limit difference time domain (FDTD) method, boundary element method and T matrix method etc..It is all in aeromerric moasurenont, environment measuring etc.
Multi-field requirement fast and accurately measures the shape of particulate, concentration, optical characteristics and dimension analysis.As particulate
One of scattering study approximate algorithm, Random inhomegeneous media (geomertical-optics approximation,
Abbreviation GOA) have many advantages, such as that quickly program structure is simple, especially when calculating the scattering strength of large scale and heterogeneous particles
Obviously.But does not consider there is the case where bubble and impurity in ice crystals using geometrical optics approximation method in the prior art, lead to cloud
The inversion accuracy of particle effective radius and cloud optical thickness is inadequate.
Summary of the invention
The embodiment of the present application provides a kind of method of light scattering characteristic for simulating ice crystals, solves the prior art and does not examine
Consider the problem that bubble and impurity cause inversion accuracy inadequate in ice crystals.
A kind of method that the application proposes light scattering characteristic for simulating ice crystals, comprising the following steps:
Construct ice crystals model;
Added at random in ice crystals model bubble and/or impurity model, adjust bubble and impurity model conductivity and
Refractive index;
The addition bubble and/or impurity model are that bubble and impurity model are modified its conductivity as ice crystals
And refractive index, the conductivity and refractive index of the bubble model are set as the conductivity and refractive index of air, the impurity model
Conductivity be set as 2-5 times of ice crystals model conductivity, refractive index is set as 0;
Scattering is calculated to function and collision matrix with Random inhomegeneous media scattering program;
The parameter of the Random inhomegeneous media is ice crystals model parameter, the ice crystals model parameter packet
It includes: Effective radius, scale parameter and Aspect Ratio parameter;
Absorbing path and non-absorbing channel radiation value with RSTAR radiative transmission mode calculating satellite sensor, Yun Guangxue
Thickness and ice efficient radius of cloud particle;
The radiation value in absorbing path and non-absorbing channel, cloud optical thickness, ice efficient radius of cloud particle, water cloud particle are had
It imitates radius and constructs look-up table;
Cloud optical thickness and efficient radius of cloud particle are calculated with the radiation value of moonscope by searching for meter.
Further, the ice crystals of different shapes include: solid cylindrical particle (Solid cloumn), plate grain
Sub (plates), revolving body particle (spheroid), bullet rose particle (Bullet Rosette) and spherical particle
(sphere) etc..
Further, the size of the bubble and impurity model is less than ice crystals.
Preferably, the number of the bubble and/or impurity model is respectively random 1-10.
Further, the position of the bubble is inside ice crystals.
Further, the position of the impurity is inside ice crystals and/or surface.
Further, the impurity is considered as square ice crystals.
Preferably, the scale parameter is to pass through formula under 0.68 μm of specified wavelength:
30 scale parameters are taken from 0.1-1000 μm of Effective radius, wherein SZP is scale parameter, the effective grain of Re
Sub- radius, λ are wavelength.
Preferably, the scale parameter is 2,4,6,8,10,12,16,20,25,30,37.5,50,75,100,125,
150,175,200,225,256.2,300,350,400,450,512.5,600,700,800,900,1000.
At least one above-mentioned technical solution that the embodiment of the present application uses can reach following beneficial effect;
The application method significantly improves the inversion accuracy of efficient radius of cloud particle and cloud optical thickness.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen
Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.In the accompanying drawings:
Fig. 1 is the embodiment flow chart of a kind of method of light scattering characteristic for simulating different shape ice crystals.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
Below in conjunction with attached drawing, the technical scheme provided by various embodiments of the present application will be described in detail.
Fig. 1 is the embodiment flow chart of a kind of method of light scattering characteristic for simulating different shape ice crystals.
A method of the light scattering characteristic of simulation different shape ice crystals, comprising the following steps:
Step 101, building ice crystals model of different shapes.
The ice crystals of different shapes include: solid cylindrical particle (Solid cloumn), platy particles
(plates), revolving body particle (spheroid), bullet rose particle (Bullet Rosette) and spherical particle
(sphere) etc.;
The surface ratio α, the equivalent sphere volume scale D of particle of geometry are considered when constructing ice crystals modelV, equivalent
Sphere area scale DaWith effective scale DeFour parameters, surface ratio α is usual to be indicated with the width of particle and length ratio, it may be assumed that α=
2a/L, a are half widths, and L is particle length.The relationship of different particle half widths and length:
It is described it is solid live shape particle (Solid cloumn):
The platy particles (plates): at α≤2 μm, it is believed that surface ratio is 1;It, can at 2 μm≤α≤5 μm
To think surface ratio and the wired sexual intercourse of half width;At 5 μm≤α≤1500 μm, it is believed that L=2.48830.474。
For the revolving body particle (spheroid) it is considered that surface ratio is 0.5, i.e. long axis is one times of short axle.Oblate
The particle of shape can be seen as being horizontal axis being long axis, and it is long axis that Prolate particle, which is then the longitudinal axis,.
The bullet rose particle (Bullet Rosette): surface is more related than with the length of each branch, can recognize
To have statistical relationship α=1.1552L for length and width0.63。
The spheroidal particle (sphere): due to shape be it is spherical, then length-width ratio is it is also assumed that be constant 1.
Step 102 adds bubble and/or impurity model at random in ice crystals model, adjusts bubble and impurity model
Conductivity and refractive index.
In a step 102, bubble and/or impurity model are added at random in ice crystals model, for simulating in reality
The structure of ice cloud ice crystal.
The addition bubble and impurity model are that bubble and impurity are modified its conductivity and refraction as ice crystals
Rate, the conductivity and refractive index of the bubble model are revised as conductivity and refractive index for air, the electricity of the impurity model
Conductance is revised as 2-5 times of ice crystals model, and refractive index is revised as 0.
The size of the bubble and impurity model is less than ice crystals.The bubble and impurity model be in inside ice crystal or
Surface.Therefore the size of bubble and impurity model is no more than ice crystals itself.
The position of the bubble model is inside ice crystals.The bubble model can only be present in the interior of ice crystals
Portion.
The position of the impurity model is inside ice crystals and/or surface.The impurity model can be located at ice crystals
Inside can also be located at ice crystals surface.
Preferably, the number of the bubble and/or impurity model is respectively random 1-10.
The bubble model is considered as spherical ice crystals, and due to being air in bubble, bubble model is seen as electricity
Conductance and refraction value are equal to the spherical ice crystals model of air.
The impurity model can be ball-type ice crystals, be also possible to square ice crystals, can also be other shapes
The ice crystals of shape, to be distinguished with bubble model, it is preferred that the impurity model is considered as the ice crystals of square, due to miscellaneous
Matter is usually dust, therefore the refractive index of impurity can regard 0 as, and conductivity is 2-5 times of ice crystals model.
Step 103 calculates scattering to function and collision matrix with Random inhomegeneous media scattering program.
In step 103, it brings ice crystals model parameter into Random inhomegeneous media scattering program and calculates scattering
To function and collision matrix.
The parameter of the Random inhomegeneous media is ice crystals model parameter.The ice crystals model parameter packet
It includes: Effective radius, scale parameter, Aspect Ratio parameter.
The particle effective radius refers to the particle radii of the spheroidal particle equivalent with ice crystals model.The scale ginseng
Number is parameter of the ice crystals relative to optical wavelength size, is the ratio of particle size and optical wavelength.Aspect Ratio parameter right and wrong
The parameter of spherical ice crystal.
The scale parameter formula are as follows:
Step 104, the absorbing path and the radiation of non-absorbing channel that satellite sensor is calculated with RSTAR radiative transmission mode
Value, cloud optical thickness and ice efficient radius of cloud particle.
At step 104, by it is calculated scatter to bring into RSTAR radiative transmission mode to function and collision matrix calculate
The absorbing path of satellite sensor and non-absorbing channel radiation value, cloud optical thickness and ice efficient radius of cloud particle out, radiation value
With the variation of cloud optical thickness and ice efficient radius of cloud particle have it is significantly different.
Step 105, by the radiation value in absorbing path and non-absorbing channel, cloud optical thickness, ice efficient radius of cloud particle and
Water efficient radius of cloud particle constructs look-up table.
For example, the radiation value in absorbing path and non-absorbing channel and cloud optical thickness are constructed look-up table, by corresponding
Radiation value finds corresponding cloud optical thickness.
For example, taking 30 scale parameters from 0.1-1000 μm of Effective radius, wherein SZP is scale parameter, Re
Effective radius, λ are wavelength.
Selection 2,4,6,8,10,12,16,20,25,30,37.5,50,75,100,125,150,175,200,225,
256.2,300,350,400,450,512.5,600,700,800,900,1000.30 scale parameters.
By 30 scale parameters, RSTAR radiative transmission mode is brought into again after bringing Random inhomegeneous media scattering program into
It is finally inversed by corresponding radiation value, cloud optical thickness and ice efficient radius of cloud particle.With radiation value, cloud optical thickness, ice cloud particle
Effective radius and water efficient radius of cloud particle construct look-up table.
The water efficient radius of cloud particle is the data that the prior art often uses spherical model.
Step 106 calculates cloud optical thickness and efficient radius of cloud particle with the radiation value of moonscope by searching for meter.
Go out radiation value by satellite sounding, by bringing radiation value into look-up table, finds corresponding cloud optical thickness and cloud
Particle effective radius.The efficient radius of cloud particle includes ice efficient radius of cloud particle and water efficient radius of cloud particle.
The above description is only an example of the present application, is not intended to limit this application.For those skilled in the art
For, various changes and changes are possible in this application.All any modifications made within the spirit and principles of the present application are equal
Replacement, improvement etc., should be included within the scope of the claims of this application.
Claims (9)
1. a kind of method for the light scattering characteristic for simulating different shape ice crystals, which comprises the following steps:
Construct ice crystals model;
Add bubble and/or impurity model, the conductivity and refraction that adjust bubble and impurity model at random in ice crystals model
Rate;
The addition bubble and/or impurity model are that bubble and impurity model are modified its conductivity and folding as ice crystals
Rate is penetrated, the conductivity and refractive index of the bubble model are set as the conductivity and refractive index of air, the electricity of the impurity model
Conductance is set as 2-5 times of ice crystals model conductivity, and refractive index is set as 0;
Scattering is calculated to function and collision matrix with Random inhomegeneous media scattering program;
The parameter of the Random inhomegeneous media is ice crystals model parameter, and the ice crystals model parameter includes: to have
Imitate particle radii, scale parameter and Aspect Ratio parameter;
Absorbing path and non-absorbing channel radiation value with RSTAR radiative transmission mode calculating satellite sensor, cloud optical thickness
With ice efficient radius of cloud particle;
By the radiation value in absorbing path and non-absorbing channel, cloud optical thickness, ice efficient radius of cloud particle, water cloud particle effectively half
Diameter constructs look-up table;
Cloud optical thickness and efficient radius of cloud particle are calculated with the radiation value of moonscope by searching for meter.
2. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 1, which is characterized in that described
Ice crystals of different shapes include: solid cylindrical particle, platy particles, revolving body particle, bullet rose particle and spherical
Particle etc..
3. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 1, which is characterized in that described
The size of bubble and impurity model is less than ice crystals.
4. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 1, which is characterized in that described
The number of bubble and/or impurity model is respectively random 1-10.
5. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 1, which is characterized in that described
The position of bubble model is inside ice crystals.
6. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 1, which is characterized in that described
The position of impurity model is inside ice crystals and/or surface.
7. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 1, which is characterized in that described
Impurity is considered as square ice crystals.
8. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 1, which is characterized in that described
Scale parameter is to pass through formula under 0.68 μm of specified wavelength:
30 scale parameters are taken from 0.1-1000 μm of Effective radius, wherein SZP is scale parameter, the effective particle of Re half
Diameter, λ are wavelength.
9. simulating the method for the light scattering characteristic of different shape ice crystals according to claim 8, which is characterized in that described
Scale parameter is 2,4,6,8,10,12,16,20,25,30,37.5,50,75,100,125,150,175,200,225,256.2,
300,350,400,450,512.5,600,700,800,900,1000.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910711207.2A CN110455689B (en) | 2019-08-01 | 2019-08-01 | Method for simulating light scattering characteristics of ice crystal particles |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910711207.2A CN110455689B (en) | 2019-08-01 | 2019-08-01 | Method for simulating light scattering characteristics of ice crystal particles |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110455689A true CN110455689A (en) | 2019-11-15 |
CN110455689B CN110455689B (en) | 2020-12-29 |
Family
ID=68484647
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910711207.2A Active CN110455689B (en) | 2019-08-01 | 2019-08-01 | Method for simulating light scattering characteristics of ice crystal particles |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110455689B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110837698A (en) * | 2019-10-30 | 2020-02-25 | 中国科学院遥感与数字地球研究所 | Method and system for simulating growth process of ice cloud |
CN112730313A (en) * | 2020-12-21 | 2021-04-30 | 国家卫星气象中心(国家空间天气监测预警中心) | Multi-frequency terahertz detector channel selection method and device for ice cloud detection |
CN113484119A (en) * | 2021-09-07 | 2021-10-08 | 中国空气动力研究与发展中心低速空气动力研究所 | Preparation method of airplane icing mechanical property test sample |
CN115468503A (en) * | 2022-09-15 | 2022-12-13 | 中国科学院大气物理研究所 | Remote sensing method for simultaneously inverting optical thickness and effective radius of thin ice cloud |
CN115616520A (en) * | 2022-12-20 | 2023-01-17 | 成都远望探测技术有限公司 | Cirrus cloud ice crystal shape recognition method based on laser and millimeter wave cloud radar |
CN116956752A (en) * | 2023-09-19 | 2023-10-27 | 成都远望探测技术有限公司 | Secondary icing quality fraction estimation method of millimeter wave radar and satellite imager |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100775654B1 (en) * | 2006-05-26 | 2007-11-13 | 재단법인서울대학교산학협력재단 | Method for retrieving cloud optical thickness and effective particle radius using a 3.7 micro channel |
CN104535979A (en) * | 2014-12-23 | 2015-04-22 | 中国科学院遥感与数字地球研究所 | Remote sensing inversion method and system for land cloud optical thickness |
CN105115862A (en) * | 2015-07-02 | 2015-12-02 | 南京信息工程大学 | Cloud particle detection method and cloud particle detector |
CN106483050A (en) * | 2015-09-02 | 2017-03-08 | 中国科学院遥感与数字地球研究所 | The inversion method of aerosol optical depth and system |
CN108932357A (en) * | 2017-05-27 | 2018-12-04 | 中国科学院遥感与数字地球研究所 | A kind of calculation method of the microphysical property of Atmospheric particulates to optical diffusion characteristic |
CN109460532A (en) * | 2018-10-24 | 2019-03-12 | 中国科学院地理科学与资源研究所 | A kind of direct solar radiation remote sensing calculation method and device |
-
2019
- 2019-08-01 CN CN201910711207.2A patent/CN110455689B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100775654B1 (en) * | 2006-05-26 | 2007-11-13 | 재단법인서울대학교산학협력재단 | Method for retrieving cloud optical thickness and effective particle radius using a 3.7 micro channel |
CN104535979A (en) * | 2014-12-23 | 2015-04-22 | 中国科学院遥感与数字地球研究所 | Remote sensing inversion method and system for land cloud optical thickness |
CN105115862A (en) * | 2015-07-02 | 2015-12-02 | 南京信息工程大学 | Cloud particle detection method and cloud particle detector |
CN106483050A (en) * | 2015-09-02 | 2017-03-08 | 中国科学院遥感与数字地球研究所 | The inversion method of aerosol optical depth and system |
CN108932357A (en) * | 2017-05-27 | 2018-12-04 | 中国科学院遥感与数字地球研究所 | A kind of calculation method of the microphysical property of Atmospheric particulates to optical diffusion characteristic |
CN109460532A (en) * | 2018-10-24 | 2019-03-12 | 中国科学院地理科学与资源研究所 | A kind of direct solar radiation remote sensing calculation method and device |
Non-Patent Citations (6)
Title |
---|
BOROVOI, AG等: "light backcattering by hexagonal ice crystal particles in geometrical optics approximation", 《OPTICAL ENGINEERING》 * |
YU XIE等: "Effect of the inhomogeneity of ice crystals on retrieving ice cloud", 《JOURNAL OF GEOPHYSICAL RESEARCH》 * |
吕且妮等: "基于几何光学近似模型的大气泡粒子散射光场分布计算", 《天津大学学报》 * |
程天海等: "卷云多角度偏振特性研究", 《物理学报》 * |
胡斯勒图等: "基于六角形和球形冰晶模型的卷云辐射特征研究", 《光谱学与光谱分析》 * |
许丽生等: "非球形粒子光散射计算研究的进展综述", 《地球科学进展》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110837698A (en) * | 2019-10-30 | 2020-02-25 | 中国科学院遥感与数字地球研究所 | Method and system for simulating growth process of ice cloud |
CN110837698B (en) * | 2019-10-30 | 2021-06-04 | 中国科学院遥感与数字地球研究所 | Method and system for simulating growth process of ice cloud |
CN112730313A (en) * | 2020-12-21 | 2021-04-30 | 国家卫星气象中心(国家空间天气监测预警中心) | Multi-frequency terahertz detector channel selection method and device for ice cloud detection |
CN113484119A (en) * | 2021-09-07 | 2021-10-08 | 中国空气动力研究与发展中心低速空气动力研究所 | Preparation method of airplane icing mechanical property test sample |
CN115468503A (en) * | 2022-09-15 | 2022-12-13 | 中国科学院大气物理研究所 | Remote sensing method for simultaneously inverting optical thickness and effective radius of thin ice cloud |
CN115616520A (en) * | 2022-12-20 | 2023-01-17 | 成都远望探测技术有限公司 | Cirrus cloud ice crystal shape recognition method based on laser and millimeter wave cloud radar |
CN115616520B (en) * | 2022-12-20 | 2023-03-14 | 成都远望探测技术有限公司 | Cloud ice crystal shape recognition method based on laser and millimeter wave cloud radar |
CN116956752A (en) * | 2023-09-19 | 2023-10-27 | 成都远望探测技术有限公司 | Secondary icing quality fraction estimation method of millimeter wave radar and satellite imager |
CN116956752B (en) * | 2023-09-19 | 2023-11-28 | 成都远望探测技术有限公司 | Secondary icing quality fraction estimation method of millimeter wave radar and satellite imager |
Also Published As
Publication number | Publication date |
---|---|
CN110455689B (en) | 2020-12-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110455689A (en) | A method of the light scattering characteristic of simulation ice crystals | |
Lac et al. | Overview of the Meso-NH model version 5.4 and its applications | |
Wang et al. | Improving bulk microphysics parameterizations in simulations of aerosol effects | |
Fusina et al. | Impact of ice supersaturated regions and thin cirrus on radiation in the midlatitudes | |
Heimann et al. | Testing meteorological classifications for the prediction of long-term average sound levels | |
CN108490451B (en) | Method for inverting slope visibility by utilizing atmospheric extinction coefficient | |
CN107561554A (en) | Inversion method with multi-wavelength laser radar data is counted based on solar luminosity | |
Fan et al. | Tropical anvil characteristics and water vapor of the tropical tropopause layer: Impact of heterogeneous and homogeneous freezing parameterizations | |
CN108205164A (en) | A kind of atmospheric visibility parametrization Forecasting Methodology based on WRF-Chem | |
CN105044039B (en) | A kind of method according to laser radar data automatic inversion horizontal visibility | |
Oliveira et al. | Numerical prediction of size, mass, temperature and trajectory of cylindrical wind-driven firebrands | |
Dai et al. | Exploration of discrepancy between radar and gauge rainfall estimates driven by wind fields | |
CN108932357A (en) | A kind of calculation method of the microphysical property of Atmospheric particulates to optical diffusion characteristic | |
Li et al. | Vertical distribution of aerosol optical properties based on aircraft measurements over the Loess Plateau in China | |
Martinazzo et al. | Assessment of the accuracy of scaling methods for radiance simulations at far and mid infrared wavelengths | |
Yang et al. | The effect of observed vertical structure, habits, and size distributions on the solar radiative properties and cloud evolution of cirrus clouds | |
Cholette et al. | Combining triple‐moment ice with prognostic liquid fraction in the P3 microphysics scheme: Impacts on a simulated squall line | |
Sorribas et al. | Role of spheroidal particles in closure studies for aerosol microphysical–optical properties | |
Jameson et al. | Raindrop axial ratios | |
Jiang et al. | Characteristics and scaling of the stable marine internal boundary layer | |
Sakai et al. | Balloon‐borne and Raman lidar observations of Asian dust and cirrus cloud properties over Tsukuba, Japan | |
Qin et al. | Case analysis of turbulence from high-resolution sounding data in northwest China | |
CN105891064A (en) | Non-spherical aerosol particle mixing ratio detecting method and device | |
Pelissier et al. | A Physically-based, Meshless Lagrangian Approach to Simulate Melting Precipitation | |
Sakai et al. | Optical and microphysical properties of upper clouds measured with the raman lidar and hydrometeor videosonde: A case study on 29 March 2004 over Tsukuba, Japan |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |