CN114486941A - Airborne microwave radiometer GVR data quality control system - Google Patents
Airborne microwave radiometer GVR data quality control system Download PDFInfo
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N22/00—Investigating or analysing materials by the use of microwaves or radio waves, i.e. electromagnetic waves with a wavelength of one millimetre or more
- G01N22/04—Investigating moisture content
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- G—PHYSICS
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Abstract
The invention belongs to the technical field of microwave radiometers, and particularly relates to a GVR data quality control system of an airborne microwave radiometer. This machine carries microwave radiometer GVR data quality control system through setting up data quality control scheme, has guaranteed the accuracy of machine carries microwave radiometer detection data, makes this instrument in use can carry out quality control to the data that detect, and the supercooled water content is one of the important parameter of judging artifical rainfall enhancement potentiality in the cloud, and the accurate supercooled water of looking for in the cloud is the prerequisite that promotes shadow scientific operation. An airborne microwave radiometer is one of effective means for searching supercooled water in clouds at present, and is a basis for realizing scientific artificial precipitation operation and improving the capability and level of figure operation.
Description
Technical Field
The invention relates to the technical field of microwave radiometers, in particular to a GVR data quality control system of an airborne microwave radiometer.
Background
At present, various means for detecting liquid water in cloud exist at home and abroad. The hot-wire moisture content instrument and the PMS (DMT) particle measurement system can be loaded on an airplane to directly detect cloud water, but the sampling volume is small, and the full appearance of the cloud cannot be detected. Microwave remote sensing is one of effective means for detecting liquid water in cloud, and is divided into active remote sensing and passive remote sensing. Active remote sensing, such as laser radar and radar, has the advantages that the vertical structure of the cloud can be revealed, particularly, the development of millimeter wave cloud radar provides favorable conditions for the research of cloud micro physical characteristics, but the liquid water inversion result depends on the parameter distribution of cloud particle spectrums, and the detection range is limited due to the strong attenuation effect of particles in the cloud. As a passive remote sensing device, the microwave radiometer has stronger penetrating power to cloud layers and can obtain more accurate liquid water content in cloud compared with active remote sensing. The airborne microwave radiometer can detect liquid water in clouds at different heights by changing the flying position, is more flexible than a satellite-borne and foundation microwave radiometer, and particularly has advantages in the aspect of detecting supercooled water.
The content of the supercooled water in the cloud is one of important parameters for judging the potential of artificial precipitation, and the accurate search of the supercooled water in the cloud is a premise for improving the figure scientific operation. The microwave radiometer with the frequency of 183GHz is more suitable for detecting water vapor with lower content and liquid water in cloud, has more advantages in airplane detection, but has higher requirements on microwave components, the radiometer of the type cannot be produced at home at present, the introduced airborne microwave radiometer GVR can better detect a supercooled water area in cloud, the science of figure operation is improved, the airborne microwave radiometer is one of effective means for searching the supercooled water in cloud at present, but the quality control on the detection data is not seen in the use process, so the accuracy of the detection data of the microwave radiometer cannot be ensured.
Disclosure of Invention
Based on the prior art, the invention provides a GVR data quality control system of an airborne microwave radiometer.
The invention provides a GVR data quality control system of an airborne microwave radiometer, which comprises a data quality control system;
reading an L1 file, and processing original data in the file to obtain corresponding output voltage values of four channels;
reading an L2 file, and acquiring brightness temperature values of the four channels and temperature values of heat sources and warm source loads;
judging the availability of bright temperature data according to the temperature value difference of the heat source load and the warm source load, and taking out the data before the two source loads reach the stability;
analyzing brightness temperature data of each channel;
analyzing the noise values of the output power supplies of the heat source and the warm source of the channel corresponding to the bright temperature;
performing inversion calculation on the corrected brightness temperature data to obtain a vertical accumulated liquid water value and a vertical accumulated water vapor value;
the main functions of the data quality control system based on the data quality control scheme are as follows;
a1, L1, and L2 file reads;
a2, reading an airplane track file and displaying a graph;
a3, graphically displaying four channel brightness temperature data;
a4, displaying power supply noise data and data difference graphs;
a5, correcting brightness temperature data;
a6, displaying the inversion result obtained after data quality control, and the like.
Preferably, in the step one, each channel output voltage value includes three types: the output voltage values correspond to the heat source load, the warm source load and the sky brightness temperature respectively.
Preferably, in the third step, the judgment standard of the temperature difference between the heat source and the warm source load is as follows;
Th-Tw≥30
th and Tw represent temperature values of the heat source and the heat sink loads, respectively.
Preferably, in the fourth step, the analysis and judgment method of the brightness temperature data calculates the difference between the brightness temperature and the average value of the previous 5 brightness temperatures, and if the difference is above 5K, it is judged that the data is possibly inaccurate.
Preferably, in the fifth step, on the basis of the fourth step, if the power supply noise difference has a sudden change at a possibly inaccurate bright temperature data time point, it is determined that the bright temperature data is inaccurate data, whether the power supply noise difference is a breakthrough value needs to be determined in time-sharing manner according to the flight attitude (ascending, descending, level flight) of the aircraft, and the inaccurate bright temperature data is corrected in a specific correction manner: the value was replaced by the average of the data at the 5 time points preceding the value.
Preferably, the operation steps of the data quality control system of the airborne microwave radiometer GVR are as follows;
f1, implementing various legend operations on the main interface of the data quality control system;
f2, reading airplane track files of different formats in plane display of airplane tracks, displaying plane track graphs of the airplane track files, and simultaneously selecting different starting time periods and ending time periods to display track positions so as to facilitate data analysis;
f3, reading airplane track files with different formats in the airplane track section, displaying the section track diagram of the airplane track files, displaying the temperature and humidity data detected by the airplane in the same diagram, and displaying the track position by selecting different starting and ending time periods as the plane display, thereby facilitating data analysis;
f4, reading data in the L2 file, displaying the brightness and temperature data of the four channels of 1, 3, 7 and 14, and selecting a single channel to display the brightness and temperature data according to requirements;
f5, processing the original file data of the L1, and calculating the power output noise result of each time;
f6, calculating to obtain a power supply noise value through an L1 original file, and calculating a noise difference value according to an RFI identification scheme;
f7, after interactively judging the brightness temperature extreme value, the threshold value and the power supply noise threshold value, correcting the brightness temperature data according to an RFI identification scheme;
f8, carrying out inversion calculation on the corrected brightness temperature data to obtain vertically accumulated liquid water and vertically accumulated water vapor, and exporting a calculation result.
Preferably, in F1, the various legend operations include: selecting and displaying the height, the temperature and the humidity in the track information; selecting and displaying the sub-channels of the brightness temperature data; selecting and displaying sub-channels of two source loads and sky corresponding output noise; sub-channel selection display of the difference value of the two source loads and the sky corresponding output noise; and saving the picture selection.
Preferably, in the F5, different channels and different start and end times can be selected for display, and the calculation data can be viewed.
Preferably, in F6, the calculated power supply noise value may be displayed in time-divided and time-divided channels, so that the aircraft flight attitude is conveniently transformed, the noise threshold is interactively identified, and meanwhile, the calculated data may be viewed.
Preferably, in F7, when the brightness temperature data is fixed, the data before and after fixing can be displayed simultaneously, and the parameters can be stored and loaded to view the fixed data.
The beneficial effects of the invention are as follows:
1. through setting up data quality control scheme, guaranteed the accuracy of airborne microwave radiometer detection data, made this instrument in use can carry out quality control to the data that detect, supercooled water content is one of the important parameter of judging artifical rainfall potentiality in the cloud, and the accurate supercooled water of looking for in the cloud is the prerequisite that promotes shadow scientific operation. An airborne microwave radiometer is one of effective means for searching supercooled water in clouds at present, and is a basis for realizing scientific artificial precipitation operation and improving the capability and level of figure operation.
2. By arranging the data quality control system, at present, a plurality of domestic airplanes are loaded with the airborne microwave radiometers GVR, accurate and reliable acquisition of detection data is the common requirement of all instrument users, and a data quality control scheme is built into software of the airborne microwave radiometer GVR quality control system.
Drawings
FIG. 1 is a schematic diagram of a GVR data quality control system of an airborne microwave radiometer according to the present invention;
FIG. 2 is a plane diagram of an aircraft trajectory of a GVR data quality control system of an airborne microwave radiometer according to the present invention;
FIG. 3 is a schematic diagram of an aircraft trajectory section of a GVR data quality control system of an airborne microwave radiometer according to the present invention;
FIG. 4 is a graph of the brightness and temperature of four channels of a GVR data quality control system in accordance with the present invention;
FIG. 5 is a diagram of the noise of the output power source of the GVR data quality control system of the airborne microwave radiometer according to the present invention;
FIG. 6 is a diagram of the noise difference of the output power of the GVR data quality control system of the airborne microwave radiometer according to the present invention;
fig. 7 is a bright temperature data correction diagram of a GVR data quality control system of an airborne microwave radiometer according to the present invention;
fig. 8 is a diagram of vertically accumulated liquid water and vertically accumulated water vapor after quality control of a GVR data quality control system of an airborne microwave radiometer according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-8, an airborne microwave radiometer GVR data quality control system includes a data quality control system.
Further, in order to realize the accuracy of the detection data of the airborne microwave radiometer GVR, the operation steps of the data quality control scheme are as follows;
step one, reading an L1 file, processing original data in the file to obtain corresponding output voltage values of four channels, wherein the output voltage value of each channel comprises three types: respectively corresponding output voltage values of a heat source load, a warm source load and sky brightness temperature;
reading an L2 file, and acquiring brightness temperature values of the four channels and temperature values of heat sources and warm source loads;
judging the availability of bright temperature data according to the temperature value difference of the heat source load and the warm source load, and taking out the data before the two source loads reach the stability, wherein the judgment standard is as follows;
Th-Tw≥30
th and Tw represent temperature values of the heat source load and the cold source load, respectively;
analyzing the brightness temperature data of each channel, calculating the difference value between the brightness temperature and the average value of the previous 5 brightness temperatures, and judging that the data is possibly inaccurate if the difference value is more than 5K;
analyzing the noise values of the output power supplies of the heat source and the warm source of the channel corresponding to the bright temperature, if sudden change exists at the time point of the bright temperature data which is possibly inaccurate, determining that the bright temperature data is inaccurate data, judging whether the bright temperature data is a breakthrough value in a time-sharing way according to the flight attitude (ascending, descending and flat flight) of the airplane, and correcting the inaccurate bright temperature data, wherein the specific correction mode is as follows: replacing the value with the average of the data at 5 time points prior to the value;
performing inversion calculation on the corrected brightness temperature data to obtain a vertical accumulated liquid water value and a vertical accumulated water vapor value;
the main functions of the data quality control system based on the data quality control scheme are as follows;
a1, L1, and L2 file reads;
a2, reading an airplane track file and displaying a graph;
a3, graphically displaying four channel brightness temperature data;
a4, displaying power supply noise data and data difference graphs;
a5, correcting brightness temperature data;
a6, displaying inversion results obtained after data quality control, and the like;
furthermore, in order to realize that the data quality control scheme has the characteristics of friendly interface, simple and convenient operation and rapid data processing, the operation steps of the data quality control system are as follows;
f1, implementing various legend operations on the main interface of the data quality control system, wherein the various legend operations comprise: selecting and displaying the height, the temperature and the humidity in the track information; selecting and displaying the sub-channels of the brightness temperature data; selecting and displaying sub-channels of two source loads and sky corresponding output noise; sub-channel selection display of the difference value of the two source loads and the sky corresponding output noise; saving the picture selection;
f2, reading airplane track files of different formats in plane display of airplane tracks, displaying plane track graphs of the airplane track files, and simultaneously selecting different starting time periods and ending time periods to display track positions so as to facilitate data analysis;
f3, reading airplane track files of different formats in the airplane track section, displaying the section track diagram of the airplane track files, displaying the temperature and humidity data detected by the airplane in the same diagram, and displaying the track position by selecting different starting and ending time periods like plane display, thereby facilitating data analysis;
f4, reading data in the L2 file, displaying the brightness and temperature data of the four channels of 1, 3, 7 and 14, and selecting a single channel to display the brightness and temperature data according to requirements;
f5, processing the original file data of L1, calculating the power output noise result of each time, selecting different channels and different starting and ending times to display, and simultaneously checking the calculated data;
f6, calculating to obtain a power supply noise value through an L1 original file, calculating a noise difference value according to an RFI recognition scheme, displaying in a time-sharing and channel-sharing mode, conveniently changing a flight attitude interactive recognition noise threshold value of the airplane, and meanwhile checking calculation data;
f7, after interactively judging the brightness temperature extreme value, the threshold value and the power supply noise threshold value, correcting the brightness temperature data according to an RFI identification scheme;
f8, carrying out inversion calculation on the corrected brightness temperature data to obtain vertically accumulated liquid water and vertically accumulated water vapor, exporting the calculation result, displaying the data before and after correction at the same time, storing and loading the parameters, and checking the corrected data.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. A GVR data quality control system of an airborne microwave radiometer comprises a data quality control system;
reading an L1 file, and processing original data in the file to obtain corresponding output voltage values of four channels;
reading an L2 file, and acquiring brightness temperature values of the four channels and temperature values of heat sources and warm source loads;
judging the availability of bright temperature data according to the temperature value difference of the heat source load and the warm source load, and removing the data before the two source loads reach the stability;
analyzing brightness temperature data of each channel;
analyzing the noise values of the output power supplies of the heat source and the warm source of the channel corresponding to the bright temperature;
performing inversion calculation on the corrected brightness temperature data to obtain a vertical accumulated liquid water value and a vertical accumulated water vapor value;
the main functions of the data quality control system based on the data quality control scheme are as follows;
a1, L1, and L2 file reads;
a2, reading an airplane track file and displaying a graph;
a3, graphically displaying four channel brightness temperature data;
a4, displaying power supply noise data and data difference graphs;
a5, correcting brightness temperature data;
a6, displaying the inversion result obtained after data quality control, and the like.
2. The system of claim 1, wherein: in the first step, the output voltage value of each channel includes three types: the output voltage values correspond to the heat source load, the warm source load and the sky brightness temperature respectively.
3. The system of claim 1, wherein: in the third step, the judgment standard of the temperature difference of the heat source and the warm source load is as follows;
Th-Tw≥30
th and Tw represent temperature values of the heat source and the heat sink loads, respectively.
4. The system of claim 1, wherein: in the fourth step, the analysis and judgment method of the brightness temperature data calculates the difference between the brightness temperature and the average value of the previous 5 brightness temperatures, and if the difference is more than 5K, the data is judged to be possibly inaccurate.
5. The system of claim 1, wherein: in the fifth step, on the basis of the fourth step, if the noise difference value of the output power supply has a sudden change at a possibly inaccurate bright temperature data time point, it is determined that the bright temperature data is inaccurate data, whether the bright temperature data is a breakthrough value needs to be distinguished in different time periods according to the flight attitude (ascending, descending and flat flying) of the aircraft, and the inaccurate bright temperature data is corrected in a specific correction mode: the value was replaced by the average of the data at the 5 time points preceding the value.
6. The operation steps of the GVR data quality control system based on any one of claims 1-5, comprising the steps of: f1, implementing various legend operations on the main interface of the data quality control system;
f2, reading airplane track files of different formats in plane display of airplane tracks, displaying plane track graphs of the airplane track files, and simultaneously selecting different starting time periods and ending time periods to display track positions so as to facilitate data analysis;
f3, reading airplane track files of different formats in the airplane track section, displaying the section track diagram of the airplane track files, displaying the temperature and humidity data detected by the airplane in the same diagram, and displaying the track position by selecting different starting and ending time periods like plane display, thereby facilitating data analysis;
f4, reading data in the L2 file, displaying the brightness and temperature data of the four channels of 1, 3, 7 and 14, and selecting a single channel to display the brightness and temperature data according to requirements;
f5, processing the original file data of the L1, and calculating the power output noise result of each time;
f6, calculating to obtain a power supply noise value through an L1 original file, and calculating a noise difference value according to an RFI identification scheme;
f7, after interactively judging the brightness temperature extreme value, the threshold value and the power supply noise threshold value, correcting the brightness temperature data according to an RFI identification scheme;
f8, carrying out inversion calculation on the corrected brightness temperature data to obtain vertically accumulated liquid water and vertically accumulated water vapor, and exporting a calculation result.
7. The system of claim 6, wherein: in F1, the various legend operations include: selecting and displaying the height, the temperature and the humidity in the track information; selecting and displaying the sub-channels of the brightness temperature data; selecting and displaying sub-channels of two source loads and sky corresponding output noise; sub-channel selection display of the difference value of the two source loads and the sky corresponding output noise; and saving the picture selection.
8. The system of claim 6, wherein: in F5, different channels and different start and end times can be selected for display, and the calculation data can be viewed.
9. The system of claim 6, wherein: in F6, the calculated power supply noise value can be displayed in a time-sharing and channel-sharing manner, so that the flight attitude of the airplane can be conveniently changed, the noise threshold can be interactively identified, and meanwhile, the calculated data can be checked.
10. The system of claim 6, wherein: in F7, when the brightness temperature data is fixed, the data before and after fixing can be displayed at the same time, and the parameters can be stored and loaded to view the fixing data.
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| CN104181507A (en) * | 2013-05-23 | 2014-12-03 | 中国科学院空间科学与应用研究中心 | Data processing and controlling apparatus used for ground-based microwave radiometer |
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| US20210337721A1 (en) * | 2020-04-30 | 2021-11-04 | Aerospace Information Research Institute, Chinese Academy Of Sciences | Method and device for soil moisture retrieval using multi-channel collaborative algorithm and passive microwave radiometry |
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- 2021-12-29 CN CN202111650388.6A patent/CN114486941A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104181507A (en) * | 2013-05-23 | 2014-12-03 | 中国科学院空间科学与应用研究中心 | Data processing and controlling apparatus used for ground-based microwave radiometer |
| US20200012649A1 (en) * | 2018-07-03 | 2020-01-09 | Cognizant Technology Solutions India Pvt. Ltd. | System and method for adaptive information storage management |
| US20210337721A1 (en) * | 2020-04-30 | 2021-11-04 | Aerospace Information Research Institute, Chinese Academy Of Sciences | Method and device for soil moisture retrieval using multi-channel collaborative algorithm and passive microwave radiometry |
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