CN105572763A - Atmospheric temperature and humidity profile line processing method under cloud cover and system thereof - Google Patents
Atmospheric temperature and humidity profile line processing method under cloud cover and system thereof Download PDFInfo
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Abstract
The application provides an atmospheric temperature and humidity profile line processing method under the cloud cover and a system thereof. The method comprises the steps that interpolation is performed on microwave atmospheric temperature and humidity profile lines according to vertical atmospheric pressure of atmospheric temperature and humidity profile lines of optical remote sensing data under the condition of clear sky; the following steps are cyclically performed on each microwave image element with the microwave image elements acting as units: whether the current microwave image elements are all covered by clouds is judged, the atmospheric temperature and humidity profile lines under the clouds within a current microwave image element area are substituted by passive microwave remote sensing data profile lines after interpolation if the judgment result is yes; and the degree of the cloud cover of the current microwave image element area is calculated by utilizing cloud mask data in the optical remote sensing data if the judgment result is no, and fusion calculation is performed on all layers of the atmospheric temperature and humidity profile lines under the clouds according to temperature fusion parameters and humidity fusion parameters respectively so that the atmospheric temperature and humidity profile lines under the clouds within the microwave image element area are generated. With application of the aforementioned method, fusion of the optical and microwave data profile lines can be realized.
Description
Technical field
The application relates to Remote Sensing Data Processing technical field, especially, relates to air temperature and humidity profile disposal route and system under a kind of cloud cover.
Background technology
Remote optical sensing refers to the remote sensing technology of the service band of sensor in optical band scope, can be obtained the atmospheric outline of high spatial resolution by remote optical sensing data.But, due to optical sensor, as Moderate Imaging Spectroradiomete (MODIS, MODerateresolutionImagingSpectroradiometer), can only optical region be operated in, be difficult to penetrate cloud layer, the atmosphere data under clear sky condition can only be obtained.
Microwave remote sensing is the remote sensing technology of operation wavelength in microwave spectrum district of sensor, the working method of microwave remote sensing comprises active microwave remote sensing (active) and passive microwave remote sensing (passive), the former is received by the echo that ground or aerial object reflect or scattering is returned by sensor emission microwave beam again, and the latter receives the microwave of ground or aerial object self radiation.The outstanding advantages of microwave remote sensing round-the-clock (clear sky or have cloud cover) can monitor earth's surface and air dynamic change, obtains Spatial continual profile data, not by the impact of the state of weather such as cloud, rain, mist, and can work at night.But, the spatial resolution of microwave remote sensing data is lower, so that the enhancement mode microwave detector (AMSU of Atmosphere temp.and RH and Rainfall distribution characteristic information can be provided, AdvancedMicrowaveSoundingUnit) be example, its resolution is 45km, cannot meet the application demand in the field such as some areas weather and weather forecast, precipitation, water resources management, dusty gas monitoring.
Summary of the invention
The application provides air temperature and humidity profile disposal route and system under a kind of cloud cover, too low and affect the problem of its range of application for solving SEQUENCING VERTICAL direction temperature and humidity profile resolution in existing microwave remote sensing data.
Air temperature and humidity profile disposal route under a kind of cloud cover disclosed in the present application, comprise: the atmospheric temperature of passive microwave remote sensing data and moisture profile are compressed into row interpolation according to the vertical gas of the atmospheric temperature of remote optical sensing data under clear sky condition and moisture profile, makes the two mate layer by layer in vertical direction; In units of the microwave pixel of passive microwave remote sensing data, following steps are performed to each microwave pixel circulation: judge that whether current microwave pixel is all by cloud cover, if so, then the passive microwave remote sensing data profile after the air temperature and humidity profile interpolation under cloud layer in current microwave pixel region is replaced; If not, the cloud mask data in remote optical sensing data is then utilized to calculate the cloud cover degree in current microwave pixel region, according to Temperature fusion parameter and humidity fusion parameters, fusion calculation is carried out respectively to the air temperature and humidity profile of one deck every under cloud layer, generates the air temperature and humidity profile under cloud layer in current microwave pixel region; Wherein, described Temperature fusion parameter comprises the temperature under clear sky condition corresponding to each optics pixel of remote optical sensing data in temperature corresponding to this microwave pixel of current layer, this microwave pixel region of current layer; Described humidity fusion parameters comprises the humidity under clear sky condition corresponding to each optics pixel of remote optical sensing data in humidity corresponding to this microwave pixel of current layer, this microwave pixel region of current layer.
Preferably, the described air temperature and humidity profile to one deck every under cloud layer carries out fusion calculation according to Temperature fusion parameter and humidity fusion parameters respectively, adopts following formula:
Wherein, T
cloudand RH
cloudrepresent the atmospheric temperature of certain layer and humidity under the current microwave pixel region cloud after merging respectively; T
microwaveand RH
microwaverepresent atmospheric temperature and the humidity of equivalent layer under the cloud that current microwave pixel is corresponding respectively; f
irepresent the point spread function that passive microwave sensor is corresponding; C represents the cloud cover degree in current microwave pixel region; N represents in current microwave pixel not by the optics pixel quantity of cloud cover; I represents the sequence number of optics pixel in current microwave pixel region; T
optics-iand RH
optics-irepresent atmospheric temperature and the humidity of i-th optics pixel of clear sky region equivalent layer in current microwave pixel respectively.
Preferably, described remote optical sensing data are MODIS data, and described passive microwave remote sensing data is AMSU data.
Preferably, the resolution of described MODIS data is 5km; The resolution of described AMSU data is 45km.
Preferably, the described computing formula utilizing the cloud mask data in remote optical sensing data to calculate the cloud cover degree C in current microwave pixel region is specially:
Wherein, S represents the optics pixel total quantity comprised in current microwave pixel; N represents in current microwave pixel not by the optics pixel quantity of cloud cover.
Air temperature and humidity profile disposal system under a kind of cloud cover disclosed in the present application, comprise: interpolating module, for the atmospheric temperature of passive microwave remote sensing data and moisture profile are compressed into row interpolation according to the vertical gas of the atmospheric temperature of remote optical sensing data under clear sky condition and moisture profile, the two is made to mate layer by layer in vertical direction; Judge module, in units of the microwave pixel of passive microwave remote sensing data, whether each microwave unit of cycle criterion is all by cloud cover; When current microwave pixel is all by cloud cover, the air temperature and humidity profile under scheduling assignment CMOS macro cell cloud layer in this microwave pixel region; When current microwave pixel is not all by cloud cover, the air temperature and humidity profile under scheduling Fusion Module generation cloud layer in this microwave pixel region; Assignment module, for replacing the passive microwave remote sensing data profile after the air temperature and humidity profile interpolation under cloud layer in current microwave pixel region; Fusion Module, the cloud mask data in remote optical sensing data is utilized to calculate the cloud cover degree in this microwave pixel region, according to Temperature fusion parameter and humidity fusion parameters, fusion calculation is carried out respectively to the air temperature and humidity profile of one deck every under cloud layer, generates the air temperature and humidity profile under cloud layer in current microwave pixel region; Wherein, described Temperature fusion parameter comprises the temperature under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, temperature that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region; Described humidity fusion parameters comprises the humidity under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, humidity that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region.
Preferably, described Fusion Module adopts the air temperature and humidity profile of following formula to one deck every under cloud layer to carry out fusion calculation according to Temperature fusion parameter and humidity fusion parameters respectively:
Wherein, T
cloudand RH
cloudrepresent the atmospheric temperature of certain layer and humidity under the current microwave pixel region cloud after merging respectively; T
microwaveand RH
microwaverepresent atmospheric temperature and the humidity of equivalent layer under the cloud that current microwave pixel is corresponding respectively; f
irepresent the point spread function that passive microwave sensor is corresponding; C represents the coverage of cloud layer in current microwave pixel; N represents in current microwave pixel not by the optics pixel quantity of cloud cover; I represents the sequence number of optics pixel in current microwave pixel region; T
optics-iand RH
optics-irepresent atmospheric temperature and the humidity of i-th optics pixel of clear sky region equivalent layer in current microwave pixel respectively.
Preferably, described remote optical sensing data are MODIS data, and described passive microwave remote sensing data is AMSU data.
Preferably, the resolution of described MODIS data is 5km; The resolution of described AMSU data is 45km.
Preferably, the computing formula that described Fusion Module utilizes the cloud mask data in remote optical sensing data to calculate the cloud cover degree C in this microwave pixel region is specially:
Wherein, S represents the optics pixel total quantity comprised in a microwave pixel; N represents in corresponding microwave pixel not by the optics pixel quantity of cloud cover.
Compared with prior art, the application has the following advantages:
The application's preferred embodiment utilizes remote optical sensing and microwave remote sensing advantage separately, fusion both realizing in profile inverting field, realize the calculating of high resolving power atmospheric temperature under cloud cover, moisture profile, make up blank and defect that this field current exists, for a series of researchs of whole world change, weather and weather forecast, atmospheric environment remote sensing monitoring, radiation transmission, earth's surface and atmospheric interaction, atmospheric boundary layer, gasoloid, precipitation, water resources management, dusty gas monitoring etc. provide technology and data supporting.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of air temperature and humidity profile disposal route one embodiment under the application's cloud cover;
Fig. 2 is the structural representation of air temperature and humidity profile disposal system one embodiment under the application's cloud cover.
Embodiment
For enabling above-mentioned purpose, the feature and advantage of the application more become apparent, below in conjunction with the drawings and specific embodiments, the application is described in further detail.
With reference to Fig. 1, show the flow process of air temperature and humidity profile disposal route one embodiment under the application's cloud cover, this method for optimizing embodiment comprises the following steps:
Step S101: the atmospheric temperature of passive microwave remote sensing data and moisture profile are compressed into row interpolation according to the vertical gas of the atmospheric temperature of remote optical sensing data under clear sky condition and moisture profile, makes the two mate layer by layer in vertical direction;
In a further preferred embodiment, remote optical sensing data wherein can select MODIS data, and passive microwave remote sensing data can select AMSU data;
Further, resolution can be selected to be the MODIS data of 5km or 1km, and resolution is the AMSU data of 45km.
Step S102: the microwave pixel choosing passive microwave remote sensing data;
This preferred embodiment processes in units of microwave pixel, after choosing a microwave pixel, atmospheric temperature under cloud layer and moisture profile are successively carried out fusion treatment, generate the high-resolution atmospheric outline consistent with remote optical sensing data resolution, to realize the object that the application expands atmospheric outline range of application.But the application does not limit processing sequence, those skilled in the art can change processing sequence with reference to this preferred embodiment scheme, as can first layering, carry out profile fusion treatment more in each layer in units of microwave pixel.
Step S103: judge that whether current microwave pixel is all by cloud cover, if so, goes to step S104; Otherwise, go to step S105;
Step S104: the passive microwave remote sensing data profile after the air temperature and humidity profile interpolation under cloud layer in this microwave pixel region is replaced; Go to step S107;
Step S105: utilize the cloud mask data in remote optical sensing data to calculate the cloud cover degree in this microwave pixel region;
In a further preferred embodiment, utilize the cloud mask data in remote optical sensing data to calculate the cloud cover degree C in this microwave pixel region, following computing formula can be adopted:
In above-mentioned formula, S represents the optics pixel total quantity comprised in current microwave pixel; N represents in current microwave pixel not by the optics pixel quantity of cloud cover.
The MODIS data instance take resolution as the AMSU data of 45km and resolution being 5km, the area size of microwave pixel is 45*45, and the area size of optics pixel is 5*5; Total quantity S=(45*45)/(5*5)=81 of the optics pixel that microwave pixel comprises; Can obtain in current microwave pixel region according to cloud mask data has N number of optics pixel not covered (supposing N=30), so with the cloud cover degree (C ≈ 62.96%) just being obtained this region by the optics pixel quantity (S-N=51) of cloud cover divided by optics pixel total quantity (S=81) in this region by cloud.
Step S106: according to Temperature fusion parameter and humidity fusion parameters, fusion calculation is carried out respectively to the air temperature and humidity profile of one deck every under cloud layer, the air temperature and humidity profile under generation cloud layer in this microwave pixel region;
Wherein, described Temperature fusion parameter comprises the temperature under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, temperature that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region; Described humidity fusion parameters comprises the humidity under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, humidity that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region.
In a further preferred embodiment, the above-mentioned air temperature and humidity profile to one deck every under cloud layer carries out fusion calculation according to Temperature fusion parameter and humidity fusion parameters respectively, can adopt following formula:
In above-mentioned two formula:
T
cloudand RH
cloudrepresent the atmospheric temperature in certain layer of current microwave pixel region and humidity under the cloud after merging respectively;
T
microwaveand RH
microwavethe atmospheric temperature that under expression cloud, the current microwave pixel of equivalent layer is corresponding respectively and humidity;
C represents the coverage of cloud layer in microwave pixel;
N represents in microwave pixel not by the optics pixel quantity of cloud cover;
I represents the sequence number of optics pixel in current microwave pixel region;
T
optics-iand RH
optics-irepresent atmospheric temperature and the humidity of i-th optics pixel of clear sky region equivalent layer in current microwave pixel respectively.
F
irepresent the point spread function that passive microwave sensor is corresponding.
A kind of spatial weighting processing scheme of point spread function, in the preferred embodiment, point spread function f
iit is an independently mathematical function, relevant with the design of sensor, generally can adopt the function of similar normal distribution, the center section response ratio in microwave pixel region is higher, more and more lower around, the response that point spread function is the highest is traditionally arranged to be 1 or certain less value, and surrounding values is more and more less, and border is 0.
Step S107: judge whether all microwave pixels are disposed, if so, process ends; Otherwise, go to step S108;
Step S108: choose next microwave pixel; Go to step S103.
For aforesaid each embodiment of the method, simple in order to describe, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the application is not by the restriction of described sequence of movement, because according to the application, some step can adopt other orders or perform simultaneously; Secondly, those skilled in the art also should know, said method embodiment all belongs to preferred embodiment, and involved action and module might not be that the application is necessary.
With reference to Fig. 2, show the structured flowchart of air temperature and humidity profile disposal system one embodiment under the application's cloud cover, comprise interpolating module 21, judge module 22, assignment module 23 and Fusion Module 24, wherein:
Interpolating module 21, for the atmospheric temperature of passive microwave remote sensing data and moisture profile are compressed into row interpolation according to the vertical gas of the atmospheric temperature of remote optical sensing data under clear sky condition and moisture profile, makes the two mate layer by layer in vertical direction;
In a further preferred embodiment, remote optical sensing data can be MODIS data, and passive microwave remote sensing data can be AMSU data, and MODIS data resolution wherein can be 5km or 1km, AMSU data resolution can be 45km.
Judge module 22, in units of the microwave pixel of passive microwave remote sensing data, whether each microwave unit of cycle criterion is all by cloud cover; When current microwave pixel is all by cloud cover, scheduling assignment module 23 generates the air temperature and humidity profile under cloud layer in this microwave pixel region; When current microwave pixel is not all by cloud cover, scheduling Fusion Module 24 generates the air temperature and humidity profile under cloud layer in this microwave pixel region;
Assignment module 23, for replacing the passive microwave remote sensing data profile after the air temperature and humidity profile interpolation under cloud layer in current microwave pixel region;
Fusion Module 24, the cloud mask data in remote optical sensing data is utilized to calculate the cloud cover degree in current microwave pixel region, according to Temperature fusion parameter and humidity fusion parameters, fusion calculation is carried out respectively to the air temperature and humidity profile of one deck every under cloud layer, the air temperature and humidity profile under generation cloud layer in this microwave pixel region;
Wherein, above-mentioned Temperature fusion parameter comprises the temperature under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, temperature that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region; Described humidity fusion parameters comprises the humidity under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, humidity that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region.
In a further preferred embodiment, Fusion Module 24 specifically can adopt the air temperature and humidity profile of following formula to one deck every under cloud layer to carry out fusion calculation according to Temperature fusion parameter and humidity fusion parameters respectively:
In above-mentioned two formula, T
cloudand RH
cloudrepresent the atmospheric temperature in certain layer of microwave pixel region and humidity under the cloud after merging respectively;
T
microwaveand RH
microwavethe atmospheric temperature that under expression cloud, the microwave pixel of equivalent layer is corresponding respectively and humidity;
F
irepresent the point spread function that passive microwave sensor is corresponding;
C represents the coverage of cloud layer in microwave pixel;
N represents in microwave pixel not by the optics pixel quantity of cloud cover;
I represents i-th optics pixel;
T
optics-iand RH
optics-irepresent atmospheric temperature and the humidity of i-th optics pixel of clear sky region equivalent layer in current microwave pixel respectively.
In another preferred embodiment, the computing formula that Fusion Module 24 utilizes the cloud mask data in remote optical sensing data to calculate the cloud cover degree C in this microwave pixel region is specifically as follows:
In above-mentioned formula, S represents the optics pixel total quantity comprised in a microwave pixel;
N represents in corresponding microwave pixel not by the optics pixel quantity of cloud cover.
It should be noted that, said system embodiment belongs to preferred embodiment, and involved unit and module might not be that the application is necessary.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.For the system embodiment of the application, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
Air temperature and humidity profile disposal route and system under a kind of cloud cover above the application provided, be described in detail, apply specific case herein to set forth the principle of the application and embodiment, the explanation of above embodiment is just for helping method and the core concept thereof of understanding the application; Meanwhile, for one of ordinary skill in the art, according to the thought of the application, all will change in specific embodiments and applications, in sum, this description should not be construed as the restriction to the application.
Claims (10)
1. an air temperature and humidity profile disposal route under cloud cover, is characterized in that, comprising:
The atmospheric temperature of passive microwave remote sensing data and moisture profile are compressed into row interpolation according to the vertical gas of the atmospheric temperature of remote optical sensing data under clear sky condition and moisture profile, makes the two mate layer by layer in vertical direction;
In units of the microwave pixel of passive microwave remote sensing data, following steps are performed to each microwave pixel circulation:
Judge that whether current microwave pixel is all by cloud cover, if so, then the passive microwave remote sensing data profile after the air temperature and humidity profile interpolation under cloud layer in current microwave pixel region is replaced;
If not, the cloud mask data in remote optical sensing data is then utilized to calculate the cloud cover degree in current microwave pixel region, according to Temperature fusion parameter and humidity fusion parameters, fusion calculation is carried out respectively to the air temperature and humidity profile of one deck every under cloud layer, generates the air temperature and humidity profile under cloud layer in current microwave pixel region;
Wherein, described Temperature fusion parameter comprises the temperature under clear sky condition corresponding to each optics pixel of remote optical sensing data in temperature corresponding to this microwave pixel of current layer, this microwave pixel region of current layer; Described humidity fusion parameters comprises the humidity under clear sky condition corresponding to each optics pixel of remote optical sensing data in humidity corresponding to this microwave pixel of current layer, this microwave pixel region of current layer.
2. method according to claim 1, is characterized in that, the described air temperature and humidity profile to one deck every under cloud layer carries out fusion calculation according to Temperature fusion parameter and humidity fusion parameters respectively, adopts following formula:
Wherein, T
cloudand RH
cloudrepresent the atmospheric temperature of certain layer and humidity under the current microwave pixel region cloud after merging respectively; T
microwaveand RH
microwaverepresent atmospheric temperature and the humidity of equivalent layer under the cloud that current microwave pixel is corresponding respectively; f
irepresent the point spread function that passive microwave sensor is corresponding; C represents the cloud cover degree in current microwave pixel region; N represents in current microwave pixel not by the optics pixel quantity of cloud cover; I represents the sequence number of optics pixel in current microwave pixel region; T
optics-iand RH
optics-irepresent atmospheric temperature and the humidity of i-th optics pixel of clear sky region equivalent layer in current microwave pixel respectively.
3. method according to claim 1 and 2, is characterized in that, described remote optical sensing data are MODIS data, and described passive microwave remote sensing data is AMSU data.
4. method according to claim 3, is characterized in that, the resolution of described MODIS data is 5km; The resolution of described AMSU data is 45km.
5. method according to claim 1 and 2, is characterized in that, the described computing formula utilizing the cloud mask data in remote optical sensing data to calculate the cloud cover degree C in current microwave pixel region is specially:
Wherein, S represents the optics pixel total quantity comprised in current microwave pixel; N represents in current microwave pixel not by the optics pixel quantity of cloud cover.
6. an air temperature and humidity profile disposal system under cloud cover, is characterized in that, comprising:
Interpolating module, for the atmospheric temperature of passive microwave remote sensing data and moisture profile are compressed into row interpolation according to the vertical gas of the atmospheric temperature of remote optical sensing data under clear sky condition and moisture profile, makes the two mate layer by layer in vertical direction;
Judge module, in units of the microwave pixel of passive microwave remote sensing data, whether each microwave unit of cycle criterion is all by cloud cover; When current microwave pixel is all by cloud cover, the air temperature and humidity profile under scheduling assignment CMOS macro cell cloud layer in this microwave pixel region; When current microwave pixel is not all by cloud cover, the air temperature and humidity profile under scheduling Fusion Module generation cloud layer in this microwave pixel region;
Assignment module, for replacing the passive microwave remote sensing data profile after the air temperature and humidity profile interpolation under cloud layer in current microwave pixel region;
Fusion Module, the cloud mask data in remote optical sensing data is utilized to calculate the cloud cover degree in this microwave pixel region, according to Temperature fusion parameter and humidity fusion parameters, fusion calculation is carried out respectively to the air temperature and humidity profile of one deck every under cloud layer, generates the air temperature and humidity profile under cloud layer in current microwave pixel region;
Wherein, described Temperature fusion parameter comprises the temperature under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, temperature that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region; Described humidity fusion parameters comprises the humidity under clear sky condition corresponding to each optics pixel of remote optical sensing data in cloud cover degree, humidity that current layer microwave pixel is corresponding, current layer corresponding microwave pixel region.
7. system according to claim 6, is characterized in that, described Fusion Module adopts the air temperature and humidity profile of following formula to one deck every under cloud layer to carry out fusion calculation according to Temperature fusion parameter and humidity fusion parameters respectively:
Wherein, T
cloudand RH
cloudrepresent the atmospheric temperature of certain layer and humidity under the current microwave pixel region cloud after merging respectively; T
microwaveand RH
microwaverepresent atmospheric temperature and the humidity of equivalent layer under the cloud that current microwave pixel is corresponding respectively; f
irepresent the point spread function that passive microwave sensor is corresponding; C represents the coverage of cloud layer in current microwave pixel; N represents in current microwave pixel not by the optics pixel quantity of cloud cover; I represents the sequence number of optics pixel in current microwave pixel region; T
optics-iand RH
optics-irepresent atmospheric temperature and the humidity of i-th optics pixel of clear sky region equivalent layer in current microwave pixel respectively.
8. the system according to claim 6 or 7, is characterized in that, described remote optical sensing data are MODIS data, and described passive microwave remote sensing data is AMSU data.
9. system according to claim 8, is characterized in that, the resolution of described MODIS data is 5km; The resolution of described AMSU data is 45km.
10. the system according to claim 6 or 7, is characterized in that, the computing formula that described Fusion Module utilizes the cloud mask data in remote optical sensing data to calculate the cloud cover degree C in this microwave pixel region is specially:
Wherein, S represents the optics pixel total quantity comprised in a microwave pixel; N represents in corresponding microwave pixel not by the optics pixel quantity of cloud cover.
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