CN108802853A - A kind of cloud phase recognition methods - Google Patents

A kind of cloud phase recognition methods Download PDF

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CN108802853A
CN108802853A CN201810609277.2A CN201810609277A CN108802853A CN 108802853 A CN108802853 A CN 108802853A CN 201810609277 A CN201810609277 A CN 201810609277A CN 108802853 A CN108802853 A CN 108802853A
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cloud
phase
wave band
data
brightness temperature
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CN108802853B (en
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胡斯勒图
朱春阳
尚华哲
马润
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Institute of Remote Sensing and Digital Earth of CAS
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    • G01WMETEOROLOGY
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Abstract

The invention discloses a kind of cloud phase recognition methods, solve the problems, such as that existing method cloud phase accuracy of identification is poor, big by solar irradiation restricted influence.The method, including:Satellite data and cloud detection data that reference zone includes the first, second, third, fourth wave band are obtained, and determines the criterion of cloud phase;Regional satellite data and cloud detection data to be measured are obtained, invalid value is rejected by pretreatment, obtains cloud data to be checked;To cloud data third to be checked, the 4th wave band data, judged, obtains the preliminary recognition result of cloud phase;To the first, second wave band data of the uncertain cloud in preliminary recognition result, judged according to the 5th cloud phase criterion, obtains the further recognition result of cloud phase;Preliminary, the further recognition result according to cloud phase, determines the final recognition result of cloud phase.The present invention realizes accurate cloud phase identification, and satellite data easily obtains, and preferable reference role is played to improving other cloud parametric inversion precision.

Description

A kind of cloud phase recognition methods
Technical field
The present invention relates near infrared band and middle infrared band cloud phase identification technology field more particularly to a kind of cloud phases Recognition methods.
Background technology
One basic principle of cloud phase inverting is exactly, using the complex refractive index imaginary part of ice cloud and water cloud particle same Wave band size has notable difference to distinguish phase.The cloud phase identification of passive measurement satellite mainly has at present:Short-wave infrared and can Light-exposed reflectivity ratio method, the bright temperature differential method of thermal infrared, multi-angle Polarization Method.Short-wave infrared and visible reflectance ratio method are to too Positive zenith angle and moonscope angle are more sensitive, when water cloud particle size is too big or ice cloud particle size is too small, cloud phase Identification can become uncertain;The bright temperature differential method of thermal infrared compares emissivity, the Atmospheric Absorption especially water vapor absorption of earth's surface Sensitivity, in the case of thin cloud and discrete fractus, surface radiation is larger to satellite observation contribution, be easy to cause phase identification Error;Multi-angle Polarization Method data are not easy to obtain, can multi-angle polarization imaging satellite it is less.
Invention content
The present invention provides a kind of cloud phase recognition methods, solve existing method cloud phase accuracy of identification it is poor, by solar irradiation The big problem of restricted influence.
A kind of cloud phase recognition methods, includes the following steps:It includes the first, second, third, fourth wave to obtain reference zone Section satellite data and cloud detection data, include according in the brightness temperature value and cloud detection data for including in the satellite data The prior information of cloud position determines that cloud phase criterion is respectively:The first, second, third, fourth, the 5th cloud phase criterion, it is described First, second, third, fourth wave band is respectively 1.6 microns, 2.25 microns, 8.5 microns, 11 microns;Obtaining region to be measured includes The satellite data and cloud detection data of first, second, third, fourth wave band are rejected invalid value by pretreatment, are wrapped Cloud data to be checked containing the first, second, third, fourth wave band;The third, the 4th wave band number to the cloud data to be checked According to being judged according to the first, second, third, fourth cloud phase criterion, obtain the preliminary recognition result of cloud phase:First Water cloud, the first uncertain cloud, mixed state cloud, the first ice cloud;To the first, second wave band number of the described first uncertain cloud According to being judged according to the 5th cloud phase criterion, obtain the further recognition result of cloud phase:Second water cloud, the second ice cloud, Second uncertain cloud;According to the preliminary recognition result of the cloud phase, the further recognition result of cloud phase, determine that cloud phase is finally known Other result:Water cloud, ice cloud, mixed state cloud, uncertain cloud.
Preferably, described to obtain the satellite data and cloud detection that reference zone includes the first, second, third, fourth wave band Data are believed according to the cloud phase priori for including in the brightness temperature value and the cloud detection data for including in the satellite data Breath, determines that cloud phase criterion is respectively:The first, second, third, fourth, it the step of the 5th cloud phase criterion, further includes: The matching that the satellite data in region to be measured and cloud detection data are carried out to time and geographical location, chooses the data sample point of coincidence For the reference zone;By the cloud detection data result in the reference zone, corresponding first, second, third, fourth wave Section construction feature curve, respectively the first, second, third, fourth wave band indicatrix;It is special according to the third, the 4th wave band The intersection point and extreme point for levying curve, determine the first, second, third, fourth cloud phase criterion;According to described first, second The intersection point of wave band indicatrix determines the 5th cloud phase criterion.
Preferably, described to obtain the satellite data and cloud detection that region to be measured includes the first, second, third, fourth wave band Data carry out the step of pretreatment rejects invalid value, obtains first, second, third, fourth wave band cloud data to be checked, into One step includes:Obtain the satellite data that region to be measured includes first, second, third, fourth wave band, carry out radiation calibration and Geometric correction obtains invalid value;It will set the obtained invalid value to negative value, obtain described first, second, third, Four wave bands cloud data invalid value to be checked is set as negative value, obtains first, second, third, fourth wave band cloud data to be checked.
Further, the described first, second, third, fourth, the 5th cloud phase criterion is respectively:The first cloud phase Criterion:When the 4th wave band brightness temperature numerical value is more than 285K and the third wave band and the 4th wave band brightness temperature numerical difference Less than 0.5K or the 4th wave band brightness temperature numerical value more than 238K and the third wave band and the 4th wave band brightness temperature When numerical difference is less than -1.5K, judgement cloud phase is water cloud;The second cloud phase criterion:When the 4th wave band brightness temperature Numerical value is more than 238K, is less than 268K and the third wave band and the 4th wave band brightness temperature numerical difference are less than 0.25K, are more than -1K When, judgement cloud phase is uncertain cloud;The third cloud phase criterion:When the 4th wave band brightness temperature numerical value is more than 238K, when being less than 268K and the third wave band and being less than 0.5K with the 4th wave band brightness temperature numerical difference, be more than -0.25K, judge Cloud phase is mixed state cloud;The 4th cloud phase criterion:When the 4th wave band brightness temperature numerical value be less than or equal to 238K or When the third wave band and the 4th wave band brightness temperature numerical difference are more than or equal to 1.5K, judgement cloud phase is ice cloud;Described 5th Cloud phase criterion:When the second band and the first band brightness temperature numeric ratio are more than 1, judgement cloud phase is ice Cloud;When the second band and the first band brightness temperature numeric ratio are less than 1, judgement cloud phase is water cloud;When described When second band is equal to 1 with the first band brightness temperature numeric ratio, judgement cloud phase is uncertain cloud.
Further, the first band is 1.6 microns, and the second band is 2.25 microns, and the third wave band is 8.5 microns, the 4th wave band is 11 microns.
Preferably, the satellite data comes from 8 fixed statellite of sunflower AHI sensors mounted.
Preferably, the format of the satellite data and the cloud detection data is NETCDF formats.
Advantageous effect of the present invention includes:Cloud phase recognition methods provided by the invention uses ordinary optical satellite data, number It is easy according to obtaining;Meanwhile the method reduces the influence of water vapor absorption wave band, the characteristic information for fully utilizing each wave band carries The high accuracy of cloud phase inverting;In addition, the method uses infrared band, can not be influenced by sunlight.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and constitutes the part of the present invention, this hair Bright illustrative embodiments and their description are not constituted improper limitations of the present invention for explaining the present invention.In the accompanying drawings:
Fig. 1 is a kind of cloud phase recognition methods flow embodiment;
Fig. 2 is a kind of cloud phase recognition methods flow embodiment determined comprising cloud phase criterion.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with the specific embodiment of the invention and Technical solution of the present invention is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the present invention one Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing Go out the every other embodiment obtained under the premise of creative work, shall fall within the protection scope of the present invention.
Cloud is most common weather phenomenon, is seen according to International Satellite Cloud Climatology Program (ISCCP) moonscope and ground The statistics of survey data, global cloud layer are covered with about 50% to 60% sky.Radiant energy budget and water of the cloud in ground vapour system It plays an important role during cycle etc., relative to factors such as greenhouse gases, aerosols, influence of the cloud to weather and weather is big to be obtained More, smaller change of the cloud in the frequency of occurrences, type and distribution may all influence the energy balance of ground vapour system, to influence The variation of weather and weather.
Influence of the cloud to ground vapour system depends primarily on the radiation characteristic and heating power kinetics function of cloud, so being ground to cloud Study carefully the research dependent on the physical features to cloud.Cloud parameter is the parameter for the physical features for describing cloud, wherein Macroscopic physical is special Sign parameter has cloud amount, the cloud level, cloud-type, cloud temperature, cloud thickness and cloud water route etc.;Microcosmic character parameter have cloud phase, Cloud optical thickness, cloud particle effective radius and water dust Spectral structure etc..The microphysical property of its medium cloud affects the radiation effect of cloud, certainly Influence of the cloud to the radiance and radiation flux of air, earth's surface is determined, the main character of cloud layer can be represented.And cloud phase is The premise of other Cloud microphysical parameters of inverting, the various inverse models of Cloud microphysical parameter are built according to different phase types Vertical, the phase of cloud is accurately identified for improving the clouds such as water cloud and ice cloud optical thickness, Effective radius optics and Microphysical The inversion accuracy of parameter is particularly important.
For passive remote sensing satellite, the radiation that moonscope is arrived is essentially from earth's surface, cloud top and cloud top between satellite The property of air, medium cloud determines the radiation on cloud top.Cloud shows the electromagnetic wave of different-waveband different scattering and radiation Property, depends primarily on single scattering albedo, extinction coefficient and the dissymmetry factor of cloud particle, and the birefringence of wherein particle refers to Number, size and shape determine single scattering albedo.The real part of complex refractive index represents KPT Scatter feature, and imaginary part represents grain The Absorption Characteristics of son.Therefore a basic principle of cloud phase inverting is exactly to utilize the complex refractive index of ice cloud and water cloud particle Imaginary part has notable difference to distinguish phase in the same band size.
The technical solution provided below in conjunction with attached drawing, each embodiment that the present invention will be described in detail.
Fig. 1 is a kind of cloud phase recognition methods flow embodiment, and the embodiment of the present invention provides a kind of cloud phase recognition methods, Include the following steps:
Step 101, satellite data and cloud detection number that reference zone includes the first, second, third, fourth wave band are obtained According to determining according to the prior information for including cloud position in the brightness temperature value and cloud detection data for including in the satellite data Cloud phase criterion is respectively:The first, second, third, fourth, the 5th cloud phase criterion, first, second, third, fourth wave Section is respectively 1.6 microns, 2.25 microns, 8.5 microns, 11 microns.
In a step 101, first, second, third, fourth wave band be near infrared band or middle infrared band, it is described First band is 1.6 microns, and the second band is 2.25 microns, and the third wave band is 8.5 microns, and the 4th wave band is 11 microns.It should be noted that as long as the satellite data is including logical near first, second, third, fourth wave band Road, and obtain cloud detection result and the method can be used.For example, 8 fixed statellite of sunflower AHI sensors mounted, possess 16 wave bands, L1 data resolutions are 5Km, and L2 data include cloud detection as a result, the satellite data and the cloud detection data Format be NETCDF formats.The AHI sensors exploitable channel 5 of 8 fixed statellite of the sunflower, wavelength band:1.6~ 1.62;Channel 6, wavelength band:2.25~2.27;Channel 11, wavelength band:8.44~8.76;Channel 14, wavelength band 11.1 ~11.3 four channels are identified into phase of racking.
In a step 101, the described first, second, third, fourth, the 5th cloud phase criterion is respectively:The first cloud phase State criterion:When the 4th wave band brightness temperature numerical value is more than 285K and the third wave band and the 4th wave band brightness temperature numerical value Difference is less than 0.5K or the 4th wave band brightness temperature numerical value more than 238K and the third wave band and the 4th wave band brightness temperature When number of degrees value difference is less than -1.5K, judgement cloud phase is water cloud;The second cloud phase criterion:When the 4th wave band brightness temperature Number of degrees value be more than 238K, be less than 268K and the third wave band and the 4th wave band brightness temperature numerical difference be less than 0.25K, more than- When 1K, judgement cloud phase is uncertain cloud;The third cloud phase criterion:When the 4th wave band brightness temperature numerical value is more than 238K, when being less than 268K and the third wave band and being less than 0.5K with the 4th wave band brightness temperature numerical difference, be more than -0.25K, judge Cloud phase is mixed state cloud;The 4th cloud phase criterion:When the 4th wave band brightness temperature numerical value be less than or equal to 238K or When the third wave band and the 4th wave band brightness temperature numerical difference are more than or equal to 1.5K, judgement cloud phase is ice cloud;Described 5th Cloud phase criterion:When the second band and the first band brightness temperature numeric ratio are more than 1, judgement cloud phase is ice Cloud;When the second band and the first band brightness temperature numeric ratio are less than 1, judgement cloud phase is water cloud;When described When second band is equal to 1 with the first band brightness temperature numeric ratio, judgement cloud phase is uncertain cloud.
It should be noted that the described first, second, third, fourth, the 5th cloud phase criterion is according to the reference zone What the prior information of cloud detection result was calculated.
Step 102, the satellite data and cloud detection that region to be measured includes first, second, third, fourth wave band are obtained Data reject invalid value by pretreatment, obtain including first, second, third, fourth wave band cloud data to be checked.
In a step 102, pretreated purpose is to obtain the cloud detection data of high quality.
Step 103, the third to the cloud data to be checked, the 4th wave band data, according to described first, second, Three, the 4th cloud phase criterion is judged, obtains the preliminary recognition result of cloud phase:First water cloud, the first uncertain cloud, mixed state Cloud, the first ice cloud.
In step 103, when the third wave band data of the cloud data to be checked, the 4th wave band data meet described When one cloud phase criterion, judge that the corresponding cloud phase recognition result of the cloud data to be checked is water cloud, gained water cloud assignment 1 will The corresponding cloud phase of the water cloud recognition result is defined as the first water cloud.
In step 103, when the third wave band data, the 4th wave band data of the cloud data to be checked meet institute When stating the second cloud phase criterion, judge that the corresponding cloud phase recognition result of the cloud data to be checked is uncertain cloud, gained is not true Determine cloud assignment 4, the corresponding cloud phase of the uncertain cloud recognition result is defined as the first uncertain cloud.
Further, when third wave band data, the 4th wave band data of the cloud data to be checked meet the third When cloud phase criterion, judge that the corresponding cloud phase recognition result of the cloud data to be checked is mixed state cloud, gained mixed state cloud is assigned Value 3.
When third wave band data, the 4th wave band data of the cloud data to be checked meet the 4th cloud phase criterion When, judge that the corresponding cloud phase recognition result of the cloud data to be checked is ice cloud, gained ice cloud assignment 2 identifies the ice cloud As a result corresponding cloud phase is defined as the first ice cloud.
It should be noted that step 103 obtained is the preliminary recognition result of cloud phase, intermediate data preservation should be used as.
Step 104, to first, second wave band data of the described first uncertain cloud, according to the 5th cloud phase Criterion is judged, the further recognition result of cloud phase is obtained:Second water cloud, the second ice cloud, the second uncertain cloud.
At step 104, it carries out further cloud phase to the described first uncertain cloud to identify, according to the 5th cloud phase Criterion, the cloud phase of the described first uncertain cloud can be further discriminated between for:Water cloud, ice cloud, uncertain cloud, and water cloud is assigned The differentiation result is respectively defined as second water cloud, the second ice cloud, the by value 1, ice cloud assignment 2, uncertain cloud assignment 4 Two uncertain clouds.
Step 105, according to the preliminary recognition result of the cloud phase, the further recognition result of cloud phase, cloud phase is determined most Whole recognition result:Water cloud, ice cloud, mixed state cloud, uncertain cloud.
In step 106, identical cloud phase is merged, classifies to different cloud phases, obtains the cloud The final recognition result of phase, that is, determine first water cloud, the second water cloud correspondence cloud phase recognition result be water cloud, determine institute State the first ice cloud, the second ice cloud correspondence cloud phase recognition result be water cloud, determine the mixed state cloud corresponds to cloud phase identify As a result it is mixed state cloud, determines that the cloud phase recognition result of the described second uncertain cloud is uncertain cloud.
Cloud phase recognition methods provided in an embodiment of the present invention uses ordinary optical satellite data, data acquisition to be easy, and The characteristic information for fully utilizing each wave band reduces the influence of water vapor absorption wave band, improves the accuracy of cloud phase inverting.
Fig. 2 is a kind of cloud phase recognition methods flow embodiment determined comprising cloud phase criterion, and the embodiment of the present invention carries The cloud phase recognition methods of confession determines step comprising cloud phase criterion, comprises the steps of:
Step 201, the matching that the satellite data in region to be measured and cloud detection data are carried out to time and geographical location, chooses The data sample point of coincidence is the reference zone.
In step 201, when being carried out with the cloud detection data of laser radar satellite data according to the satellite data obtained Between and geographical location matching, choose coincidence sample point be the reference zone.
It should be noted that the region to be measured includes the reference zone.
Step 202, by the cloud detection data result in the reference zone, described first, second, third, fourth is corresponded to Wave band construction feature curve, respectively the first, second, third, fourth wave band indicatrix.
In step 202, for the cloud detection data result of selected sample point, with laser radar official products' cloud phase As a result it is used as priori, builds the indicatrix of the satellite band corresponding to different cloud phases.
Step 203, according to the third, the intersection point and extreme point of the 4th wave band indicatrix, described first, is determined Two, third, the 4th cloud phase criterion.
Step 204, according to the intersection point of the first, second wave band indicatrix, the 5th cloud phase criterion is determined.
Step 205, the satellite data that region to be measured includes the first, second, third, fourth wave band is obtained, it is fixed radiate Mark and geometric correction, obtain invalid value.
Step 206, the obtained invalid value will be set to negative value, obtains first, second, third, fourth wave Section cloud data to be checked are set as negative value, obtain the cloud data to be checked for including first, second, third, fourth wave band.
Step 103, the third to the cloud data to be checked, the 4th wave band data, according to described first, second, third, Four cloud phase criterions are judged, the preliminary recognition result of cloud phase is obtained:First water cloud, the first uncertain cloud, mixed state cloud, One ice cloud.
Step 104, to the first, second wave band data of the described first uncertain cloud, according to the 5th cloud phase criterion Judged, obtains the further recognition result of cloud phase:Second water cloud, the second ice cloud, the second uncertain cloud.
Step 105, according to the preliminary recognition result of the cloud phase, the further recognition result of cloud phase, cloud phase is determined most Whole recognition result:Water cloud, ice cloud, mixed state cloud, uncertain cloud.
The preliminary recognition methods of cloud phase provided in an embodiment of the present invention examines cloud using the prior information of cloud detection result It surveys interpretation of result to optimize to have obtained cloud phase criterion, fully utilizes the characteristic information of each wave band cloud detection data, improve cloud The accuracy of phase inverting.
It should be noted that the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability Contain, so that process, method, commodity or equipment including a series of elements include not only those elements, but also includes Other elements that are not explicitly listed, or further include for this process, method, commodity or the intrinsic element of equipment. In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element Process, method, there is also other identical elements in commodity or equipment.
Example the above is only the implementation of the present invention is not intended to restrict the invention.For those skilled in the art For, the invention may be variously modified and varied.It is all within spirit and principles of the present invention made by any modification, equivalent Replace, improve etc., it should be included within scope of the presently claimed invention.

Claims (6)

1. a kind of cloud phase recognition methods, which is characterized in that include the following steps:
Satellite data and cloud detection data that reference zone includes the first, second, third, fourth wave band are obtained, is defended according to described The prior information for including cloud position in the brightness temperature value and the cloud detection data that include in sing data, determines cloud phase criterion Respectively:The first, second, third, fourth, the 5th cloud phase criterion, first, second, third, fourth wave band are respectively 1.6 microns, 2.25 microns, 8.5 microns, 11 microns;
Satellite data and cloud detection data that region to be measured includes first, second, third, fourth wave band are obtained, by pre- Invalid value is rejected in processing, obtains the cloud data to be checked for including first, second, third, fourth wave band;
The third, the 4th wave band data to the cloud data to be checked, according to the first, second, third, fourth cloud phase Criterion is judged, the preliminary recognition result of cloud phase is obtained:First water cloud, the first uncertain cloud, mixed state cloud, the first ice cloud;
To first, second wave band data of the described first uncertain cloud, judged according to the 5th cloud phase criterion, Obtain the further recognition result of cloud phase:Second water cloud, the second ice cloud, the second uncertain cloud;
According to the preliminary recognition result of the cloud phase, the further recognition result of cloud phase, the final recognition result of cloud phase is determined:Water Cloud, ice cloud, mixed state cloud, uncertain cloud.
2. cloud phase recognition methods as described in claim 1, which is characterized in that the acquisition reference zone includes first, the Two, third, the satellite data of the 4th wave band and cloud detection data, according to the brightness temperature value and institute for including in the satellite data The cloud phase prior information for including in cloud detection data is stated, determines that cloud phase criterion is respectively:The first, second, third, fourth, It the step of 5th cloud phase criterion, further includes:
The matching that the satellite data in region to be measured and cloud detection data are carried out to time and geographical location, chooses the data sample of coincidence This point is the reference zone;
By the cloud detection data result in the reference zone, the corresponding first, second, third, fourth wave band construction feature Curve, respectively the first, second, third, fourth wave band indicatrix;
According to the third, the intersection point and extreme point of the 4th wave band indicatrix, first, second, third, fourth cloud is determined Phase criterion;
According to the intersection point of the first, second wave band indicatrix, the 5th cloud phase criterion is determined.
3. cloud phase recognition methods as described in claim 1, which is characterized in that described to obtain region to be measured include described the One, second, third, the satellite data of the 4th wave band and cloud detection data, carry out pretreatment and reject invalid value, obtain comprising described It the step of cloud data to be checked of first, second, third, fourth wave band, further includes:
The satellite data that region to be measured includes first, second, third, fourth wave band is obtained, radiation calibration and geometry are carried out Correction, obtains invalid value;
It sets the obtained invalid value to negative value, obtains first, second, third, fourth wave band cloud data to be checked.
4. such as claims 1 to 3 any one of them cloud phase recognition methods, which is characterized in that described first, second, third, Four, the 5th cloud phase criterions are respectively:
The first cloud phase criterion:When the 4th wave band brightness temperature numerical value is more than 285K and the third wave band and the 4th Wave band brightness temperature numerical difference is less than 0.5K or the 4th wave band brightness temperature numerical value is more than 238K and the third wave band When being less than -1.5K with the 4th wave band brightness temperature numerical difference, judgement cloud phase is water cloud;
The second cloud phase criterion:When the 4th wave band brightness temperature numerical value is more than 238K, less than 268K and the third When wave band and the 4th wave band brightness temperature numerical difference are less than 0.25K, are more than -1K, judgement cloud phase is uncertain cloud;
The third cloud phase criterion:When the 4th wave band brightness temperature numerical value is more than 238K, less than 268K and the third When wave band and the 4th wave band brightness temperature numerical difference are less than 0.5K, are more than -0.25K, judgement cloud phase is mixed state cloud;
The 4th cloud phase criterion:When the 4th wave band brightness temperature numerical value be less than or equal to 238K or described thirds wave band with When 4th wave band brightness temperature numerical difference is more than or equal to 1.5K, judgement cloud phase is ice cloud;
The 5th cloud phase criterion:When the second band and the first band brightness temperature numeric ratio are more than 1, judgement Cloud phase is ice cloud;When the second band and the first band brightness temperature numeric ratio are less than 1, judgement cloud phase is water Cloud;When the second band and the first band brightness temperature numeric ratio are equal to 1, judgement cloud phase is uncertain cloud.
5. such as Claims 1 to 4 any one of them cloud phase recognition methods, which is characterized in that the satellite data comes from certain herbaceous plants with big flowers Spend 8 fixed statellites AHI sensors mounted.
6. cloud phase recognition methods as described in claim 1, which is characterized in that the satellite data and the cloud detection data Format be NETCDF formats.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109946235A (en) * 2019-02-26 2019-06-28 南京信息工程大学 The multi layer cloud inversion method of wind and cloud 4A meteorological satellite Multichannel Scan Imagery Radiometer
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
CN111898627A (en) * 2020-05-27 2020-11-06 成都信息工程大学 SVM cloud microparticle optimization classification recognition method based on PCA
CN114354510A (en) * 2022-01-12 2022-04-15 国家卫星气象中心(国家空间天气监测预警中心) Daytime cloud phase inversion method based on polar orbit meteorological satellite MERSI

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101429260B1 (en) * 2013-07-30 2014-08-28 경일대학교산학협력단 Detection method of volcanic ash and Deduction method of specific value of volcanic ash by using Infrared channel data
CN104282044A (en) * 2014-09-26 2015-01-14 北京环境特性研究所 Cirrus cloud infrared image simulation method and system based on weather satellite data product
CN108051872A (en) * 2017-12-13 2018-05-18 湖北省气象服务中心(湖北省专业气象服务台) Method and apparatus based on steam phase transition process in Ground-Based Microwave Radiometer Retrieval of Cloud

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101429260B1 (en) * 2013-07-30 2014-08-28 경일대학교산학협력단 Detection method of volcanic ash and Deduction method of specific value of volcanic ash by using Infrared channel data
CN104282044A (en) * 2014-09-26 2015-01-14 北京环境特性研究所 Cirrus cloud infrared image simulation method and system based on weather satellite data product
CN108051872A (en) * 2017-12-13 2018-05-18 湖北省气象服务中心(湖北省专业气象服务台) Method and apparatus based on steam phase transition process in Ground-Based Microwave Radiometer Retrieval of Cloud

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
任建奇等: "云相态的卫星遥感研究进展", 《地球科学进展》 *
周著华: "MODIS 多光谱云相态识别技术的应用研究", 《应用气象学报》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109946235A (en) * 2019-02-26 2019-06-28 南京信息工程大学 The multi layer cloud inversion method of wind and cloud 4A meteorological satellite Multichannel Scan Imagery Radiometer
CN109946235B (en) * 2019-02-26 2021-11-02 南京信息工程大学 Multilayer cloud inversion method of wind cloud 4A meteorological satellite multichannel scanning imaging radiometer
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
CN111898627A (en) * 2020-05-27 2020-11-06 成都信息工程大学 SVM cloud microparticle optimization classification recognition method based on PCA
CN111898627B (en) * 2020-05-27 2021-06-15 成都信息工程大学 SVM cloud microparticle optimization classification recognition method based on PCA
CN114354510A (en) * 2022-01-12 2022-04-15 国家卫星气象中心(国家空间天气监测预警中心) Daytime cloud phase inversion method based on polar orbit meteorological satellite MERSI
CN114354510B (en) * 2022-01-12 2024-06-04 国家卫星气象中心(国家空间天气监测预警中心) Daytime cloud phase inversion method based on polar orbit meteorological satellite MERSI

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