CN114280379A - Cloud ground flash initial-flash detection algorithm based on FY4A satellite data and radar networking data - Google Patents
Cloud ground flash initial-flash detection algorithm based on FY4A satellite data and radar networking data Download PDFInfo
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Abstract
The invention discloses a cloud-ground flash initial-flash detection algorithm based on FY4A satellite data and radar networking data, which comprises the following steps: A. the lightning optical transient detector is loaded on a Microlab-1 satellite, and the lightning imager is loaded on a tropical rainfall measurement plan task satellite; B. static satellite lightning imager: the static satellite lightning imager mainly comprises a CCD area array and an on-satellite real-time event processor for on-satellite data preprocessing and background signal filtering. According to the invention, the observation wavelength of a CCD of a static satellite lightning imager is 777.4nm, the CCD detects light radiation generated in the lightning discharge process, the detected light radiation intensity data is subjected to on-satellite data preprocessing and a ground product generation system through on-satellite RTEP, firstly, background light detected by a CCD surface element is filtered by methods such as background light estimation and the like, a luminous event possibly from lightning is extracted, and the data is sent to a ground receiving station in real time so as to be convenient for workers to observe.
Description
Technical Field
The invention relates to the technical field of cloud-to-ground flash primary flash detection algorithms, in particular to a cloud-to-ground flash primary flash detection algorithm based on FY4A satellite data and radar networking data.
Background
The lightning location is realized through optical imaging detection to the geostationary satellite lightning imager, can carry out long-time continuous monitoring to the lightning activity, provide the observation foundation for regional strong convection weather early warning and regional lightning activity characteristic research, combine geostationary satellite lightning imager research current situation, introduce to wind cloud geostationary satellite lightning imager theory of operation and product algorithm, the lightning discharge process can produce very strong light radiation, the realization is to the optical detection of lightning, present cloud ground is dodged first flash detection algorithm and can not be to the accurate detection of weather, and then lead to being difficult to confirm the accurate position that the lightning takes place, bring certain puzzlement for weather observation personnel, propose for this reason specifically for the cloud ground based on FY4A satellite data and radar network deployment data dodges first flash detection algorithm and solve above-mentioned problem.
Disclosure of Invention
The invention aims to provide a cloud-ground flash primary flash detection algorithm based on FY4A satellite data and radar networking data, which has the advantage of detection precision and solves the problems that the current cloud-ground flash primary flash detection algorithm cannot accurately detect weather, so that the accurate position of lightning is difficult to determine and certain trouble is brought to weather observers.
In order to achieve the purpose, the invention provides the following technical scheme: the cloud-ground flash initial-flash detection algorithm based on FY4A satellite data and radar networking data comprises the following steps:
A. the lightning optical transient detector is loaded on a Microlab-1 satellite, and the lightning imager is loaded on a tropical rainfall measurement plan task satellite;
B. static satellite lightning imager: the static satellite lightning imager mainly comprises a CCD area array and an on-satellite real-time event processor for on-satellite data preprocessing and background signal filtering;
C. lightning product algorithm: the lightning product algorithm carries out false signal filtering and cluster analysis on the luminous events after calibration and positioning processing by the ground processing system, outputs information such as occurrence time, position, intensity and the like of lightning events, groups and lightning and the subordination relation among the lightning events, the groups and the lightning based on the structure tree;
c1, noise in original data detected by a CCD area array of the lightning imager is mainly from instrument detection system noise of the lightning imager, the proportion of different CCD surface element noise in the total noise is different from a noise reduction method, a surface element noise filtering method can be adopted, and the noise is primarily filtered according to different noise characteristics;
D. the on-board data preprocessing system comprises: capturing a lightning signal, outputting the lightning event and background data to an information coding circuit and transmitting the lightning event and the background data to a ground receiving and testing station;
d1, original detection data which is output by the on-satellite preprocessing system and is subjected to scaling positioning processing is subjected to false signal filtering and cluster analysis processing, and lightning detection products which comprise information such as occurrence time, positions and intensities of lightning events, groups and lightning and the lightning events based on the structure tree, and the subordination relation among the groups and the lightning are output, when the radiance of lightning ray radiation detected by a single pixel of a CCD area array of the lightning imager is higher than a background threshold value, a lightning event is defined, that is, the lighting phenomenon that lightning light radiation in cloud in a pixel observation area penetrates through a cloud layer, the central position of the pixel of a corresponding CCD area array is the position of the lightning event, the lightning events detected by a plurality of adjacent tiny pixels on the same frame of CCD image form a group, defining a plurality of groups satisfying a certain threshold condition as a real lightning process corresponding to one return strike of a ground flash or one K change of a cloud flash;
d2, noise still exists in the observation data processed by the face element noise filtering method, the noise can be further filtered only after cluster analysis, namely false signal filtering, a wind cloud four-number static satellite lightning imager false signal filtering algorithm, for lightning events, groups and lightning products after cluster analysis, whether a specific area only has one event, group or lightning is firstly analyzed, if the specific area has the event, the specific area may be false signal, then, false signals generated by different noises are filtered for the lightning products output by cluster analysis by adopting the following method, particle noise is filtered by adopting the Monte Carlo method, background noise analysis, transition area filtering, flicker filtering, edge filtering, association filtering and group filtering;
F. and (3) generating simulation agent data: due to the scattering and absorption effects of the cloud layer, light radiation emitted by lightning is transmitted in the cloud layer, the light radiation intensity is attenuated, due to the particularity of the unsteady light source of the lightning light source, the Monte Carlo method can be applied to accurately simulate the radiation transmission process of the lightning light radiation in the cloud, and in addition, because the lightning light radiation detected by a satellite comes from the cloud top, the height correction of the cloud top is needed to be utilized to improve the lightning positioning precision;
e1, generating method of instrument simulation proxy data, firstly assuming position and occurrence time of light pulse, secondly generating current amplitude corresponding to the light pulse with normal distribution, and finally obtaining radiance value of light-emitting event and photon distribution corresponding to each light pulse by using empirical distribution function and current amplitude.
Preferably, the step a is used as a prototype of the LIS, the angle of inclination is 70 degrees with respect to the equator, the track height is 740km, the observation area is 75 ° S-75 ° N, the track period is 100 minutes, the global coverage is 55 days, the size of a charge coupled device detection array (CCD) for detecting lightning optical radiation is 128 × 128, the observation field is 1300km × 1300km, the spatial resolution is 10km, and the lightning detection rate is 50% -66%.
Preferably, the processor in the step B mainly includes satellite observation data calibration and positioning, and a product generation system including product algorithms such as false signal filtering and cluster analysis.
Preferably, the main part of the on-satellite data preprocessing system in step D is an on-satellite real-time event processor, and the real-time event processor receives the raw observation data output in parallel by the CCD area array, and performs signal reception and amplitude limiting, multi-frame average background estimation, background signal removal, element-by-element threshold value self-adaptive setting, lightning signal detection, and lightning signal encoding.
Preferably, the monte carlo method in step D2 filters particle noise as randomly distributed noise generated by high-energy particles detected by the CCD area array, and the scintillation filtering filters sunlight scattering influence on the satellite observation platform.
Preferably, the simulation agent data in the step E1 is applied to a clustering algorithm simulation test of a wind cloud number four geostationary satellite lightning imager.
Preferably, the instrument detection system noise of the lightning imager in the step C1 includes repetitive noise, ghost noise, lollipop noise, trajectory noise, impact noise, and the like.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention uses CCD of static satellite lightning imaging instrument to observe the wavelength at 777.4nm, CCD detects the light radiation generated in the lightning discharge process, the detected light radiation intensity data is processed by satellite RTEP to preprocess satellite data and generate system of ground product, firstly, the background light detected by CCD surface element is filtered by background light estimation method, the possible lightening event from lightning is extracted, the data is sent to ground receiving station in real time for the observation of working personnel, secondly, the ground receiving station carries out calibration and positioning process to RTEP down-transmitted data, outputs the lightning imaging instrument product containing the information of lightening event occurrence time, position and intensity after calibration and positioning, finally, the product algorithm software is used to filter and analyze false signal, outputs the lightning imaging instrument product containing the information of lightening event, group and cluster occurrence time, position and intensity, the lightning imager of the wind-cloud-four-number static satellite can basically cover most regions and adjacent land and ocean regions to realize the observation of regional lightning activity characteristics, the on-satellite RTEP receives original observation data output by CCD area array in parallel, the original observation data are subjected to signal receiving and amplitude limiting, multi-frame average background estimation, background signal removal, element-by-element threshold self-adaptation setting, lightning signal detection and lightning signal encoding, a lightning event and background data are output to an information encoding circuit and are transmitted to a ground receiving and measuring station, GLM utilizes the RTEP to realize background light filtering, the RTEP algorithm mainly aims at removing background light from the original data and reducing the influence of the background light on the lightning observation, the change of the background light in the daytime is mainly related to the sun angle, cloud reflectivity and ground albedo, and according to the characteristics of the background light, the filtering method comprises spatial filtering, Spectral filtering and spatial filtering.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The cloud-ground flash initial-flash detection algorithm based on FY4A satellite data and radar networking data comprises the following steps:
A. the lightning optical transient detector is loaded on a Microlab-1 satellite, and the lightning imager is loaded on a tropical rainfall measurement plan task satellite;
B. static satellite lightning imager: the static satellite lightning imager mainly comprises a CCD area array and an on-satellite real-time event processor for on-satellite data preprocessing and background signal filtering;
C. lightning product algorithm: the lightning product algorithm carries out false signal filtering and cluster analysis on the luminous events after calibration and positioning processing by the ground processing system, outputs information such as occurrence time, position, intensity and the like of lightning events, groups and lightning and the subordination relation among the lightning events, the groups and the lightning based on the structure tree;
c1, noise in original data detected by a CCD area array of the lightning imager is mainly from instrument detection system noise of the lightning imager, the proportion of different CCD surface element noise in the total noise is different from a noise reduction method, a surface element noise filtering method can be adopted, and the noise is primarily filtered according to different noise characteristics;
D. the on-board data preprocessing system comprises: capturing a lightning signal, outputting the lightning event and background data to an information coding circuit and transmitting the lightning event and the background data to a ground receiving and testing station;
d1, original detection data which is output by the on-satellite preprocessing system and is subjected to scaling positioning processing is subjected to false signal filtering and cluster analysis processing, and lightning detection products which comprise information such as occurrence time, positions and intensities of lightning events, groups and lightning and the lightning events based on the structure tree, and the subordination relation among the groups and the lightning are output, when the radiance of lightning ray radiation detected by a single pixel of a CCD area array of the lightning imager is higher than a background threshold value, a lightning event is defined, that is, the lighting phenomenon that lightning light radiation in cloud in a pixel observation area penetrates through a cloud layer, the central position of the pixel of a corresponding CCD area array is the position of the lightning event, the lightning events detected by a plurality of adjacent tiny pixels on the same frame of CCD image form a group, defining a plurality of groups satisfying a certain threshold condition as a real lightning process corresponding to one return strike of a ground flash or one K change of a cloud flash;
d2, noise still exists in the observation data processed by the face element noise filtering method, the noise can be further filtered only after cluster analysis, namely false signal filtering, a wind cloud four-number static satellite lightning imager false signal filtering algorithm, for lightning events, groups and lightning products after cluster analysis, whether a specific area only has one event, group or lightning is firstly analyzed, if the specific area has the event, the specific area may be false signal, then, false signals generated by different noises are filtered for the lightning products output by cluster analysis by adopting the following method, particle noise is filtered by adopting the Monte Carlo method, background noise analysis, transition area filtering, flicker filtering, edge filtering, association filtering and group filtering;
G. and (3) generating simulation agent data: due to the scattering and absorption effects of the cloud layer, light radiation emitted by lightning is transmitted in the cloud layer, the light radiation intensity is attenuated, due to the particularity of the unsteady light source of the lightning light source, the Monte Carlo method can be applied to accurately simulate the radiation transmission process of the lightning light radiation in the cloud, and in addition, because the lightning light radiation detected by a satellite comes from the cloud top, the height correction of the cloud top is needed to be utilized to improve the lightning positioning precision;
e1, generating method of instrument simulation proxy data, firstly assuming position and occurrence time of light pulse, secondly generating current amplitude corresponding to the light pulse with normal distribution, and finally obtaining radiance value of light-emitting event and photon distribution corresponding to each light pulse by using empirical distribution function and current amplitude.
Specifically, the LIS is used as a prototype in the step A, the inclination angle of the LIS is 70 degrees relative to the equator, the track height is 740km, the observation area is 75 degrees S-75 degrees N, the track period is 100 minutes, the global coverage is 55 days, the size of a Charge Coupled Device (CCD) detection array for detecting lightning light radiation is 128 multiplied by 128, the observation field is 1300km multiplied by 1300km, the spatial resolution is 10km, and the lightning detection rate is 50% -66%.
Specifically, the processor in the step B mainly comprises satellite observation data calibration and positioning, and a product generation system comprising product algorithms such as false signal filtering, cluster analysis and the like.
Specifically, the main part of the on-satellite data preprocessing system in the step D is an on-satellite real-time event processor, and the real-time event processor receives the original observation data output in parallel by the CCD area array, and performs signal reception and amplitude limiting, multi-frame average background estimation, background signal removal, element-by-element threshold value self-adaptive setting, lightning signal detection, and lightning signal encoding.
Specifically, the monte carlo method in step D2 filters particle noise as randomly distributed noise generated by high-energy particles detected by the CCD area array, and the scintillation filtering filters sunlight scattering influence on the satellite observation platform.
Specifically, the simulation agent data in the step E1 is applied to a clustering algorithm simulation test of the wind cloud number four geostationary satellite lightning imager.
Specifically, the instrument detection system noise of the lightning imager in step C1 includes repetitive noise, ghost noise, lollipop noise, trajectory noise, impact noise, and the like.
When in use, the CCD size of a charge coupled device detection array CCD used for detecting lightning optical radiation is 128 multiplied by 128, the observation field of view is 1300km multiplied by 1300km, the spatial resolution is 10km, the lightning detection rate is 50% -66%, the static satellite lightning imager, the CCD area array and an on-satellite real-time event processor used for on-satellite data preprocessing and background signal filtering are adopted, the observation wavelength is 777.4nm, the CCD detects the optical radiation generated in the lightning discharge process, the detected optical radiation intensity data is subjected to on-satellite data preprocessing and a ground product generation system through on-satellite RTEP, background light detected by CCD surface elements is filtered by methods such as background light estimation, the luminous event possibly coming from lightning is extracted, and the data is transmitted to a ground receiving station in real time, so as to be convenient for workers to observe, secondly, the ground receiving station carries out calibration and positioning processing on RTEP downloaded data, outputs a lightning imager product which is subjected to calibration and positioning and contains information such as the occurrence time, position, intensity and the like of a luminous event, and finally, false signal filtering and cluster analysis are carried out by utilizing product algorithm software, outputs a lightning imager product which contains information such as the occurrence time, position, intensity and the like of a lightning event, a group and lightning, and then the noise in the original data detected by a CCD area array of the lightning imager is mainly from the instrument detection system noise of the lightning imager, the proportion of different CCD surface element noises in the total noise is different from that of a noise reduction method, a surface element noise filtering method can be adopted to primarily filter the noise aiming at different noise characteristics, and finally, the false signal filtering and cluster analysis processing are carried out by an on-satellite data preprocessing system, outputting a lightning detection product containing information of lightning events, groups, lightning occurrence time, positions, strength and the like and the subordination relation among the lightning events, the groups and the lightning based on a structure tree, when the radiance of lightning light radiation detected by a single pixel of a CCD area array of a lightning imager is higher than a background threshold value, defining a lightning event, namely a luminous phenomenon that the lightning light radiation in a cloud layer in a pixel observation area penetrates through the cloud layer, the central position of the pixel of a corresponding CCD area array is the position of the lightning event, the lightning events detected by a plurality of adjacent micro pixels on the same frame of CCD image form a group, a return stroke corresponding to ground flash or a K change of cloud flash, a plurality of groups meeting a certain threshold value condition are defined as a real lightning process, and noise still exists in observation data processed by a surface element noise filtering method, and can be further filtered only after cluster analysis, the false signal filtering algorithm is characterized in that a lightning event, a group and a lightning product after cluster analysis are firstly analyzed whether only one event, group or lightning exists in a specific area or not, if the event, the group or the lightning possibly exists, a false signal is generated, then the false signal generated by different noises is filtered by the lightning product output by the cluster analysis by adopting the following method, particle noise is filtered by a Monte Carlo method, particle noise is filtered by background noise analysis, transition area filtering, flicker filtering, edge filtering, correlation filtering and group filtering are generated, scattering and absorption effects for a cloud layer are generated by simulating agent data, light radiation emitted by the lightning is transmitted in the cloud layer, the light radiation intensity is attenuated, and due to the particularity of an unsteady light source of the lightning light source, the radiation transmission process of the lightning in the cloud can be more accurately simulated by adopting the Monte Carlo method, in addition, because lightning light radiation detected by a satellite comes from a cloud top, the lightning positioning accuracy needs to be improved by correcting the height of the cloud top, the position and the occurrence time of the light pulse are assumed, the current amplitude corresponding to the normally distributed light pulse is generated, and finally the radiance value of the light-emitting event and the photon distribution corresponding to each light pulse are obtained by using an empirical distribution function and the current amplitude.
The standard parts used in the present application document can be purchased from the market, and can be customized according to the description of the specification, the specific connection mode of each part adopts the conventional means such as bolts, rivets, welding, and the like, the machinery, parts and equipment adopt the conventional type in the prior art, the control mode is automatically controlled by a controller, the control circuit of the controller can be realized by simple programming of technicians in the field, the control circuit belongs to the common knowledge in the field, and the present application document is mainly used for protecting mechanical devices, so the detailed explanation of the control mode and the circuit connection is not needed.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms include, or any other variation thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements does not include only those elements but also other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the statement that an element defined by … … is included does not exclude the presence of other like elements in the process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The cloud-ground flash initial-flash detection algorithm based on FY4A satellite data and radar networking data comprises the following steps:
A. the lightning optical transient detector is loaded on a Microlab-1 satellite, and the lightning imager is loaded on a tropical rainfall measurement plan task satellite;
B. static satellite lightning imager: the static satellite lightning imager mainly comprises a CCD area array and an on-satellite real-time event processor for on-satellite data preprocessing and background signal filtering;
C. lightning product algorithm: the lightning product algorithm carries out false signal filtering and cluster analysis on the luminous events after calibration and positioning processing by the ground processing system, outputs information such as occurrence time, position, intensity and the like of lightning events, groups and lightning and the subordination relation among the lightning events, the groups and the lightning based on the structure tree;
c1, noise in original data detected by a CCD area array of the lightning imager is mainly from instrument detection system noise of the lightning imager, the proportion of different CCD surface element noise in the total noise is different from a noise reduction method, a surface element noise filtering method can be adopted, and the noise is primarily filtered according to different noise characteristics;
D. the on-board data preprocessing system comprises: capturing a lightning signal, outputting the lightning event and background data to an information coding circuit and transmitting the lightning event and the background data to a ground receiving and testing station;
d1, original detection data which is output by the on-satellite preprocessing system and is subjected to scaling positioning processing is subjected to false signal filtering and cluster analysis processing, and lightning detection products which comprise information such as occurrence time, positions and intensities of lightning events, groups and lightning and the lightning events based on the structure tree, and the subordination relation among the groups and the lightning are output, when the radiance of lightning ray radiation detected by a single pixel of a CCD area array of the lightning imager is higher than a background threshold value, a lightning event is defined, that is, the lighting phenomenon that lightning light radiation in cloud in a pixel observation area penetrates through a cloud layer, the central position of the pixel of a corresponding CCD area array is the position of the lightning event, the lightning events detected by a plurality of adjacent tiny pixels on the same frame of CCD image form a group, defining a plurality of groups satisfying a certain threshold condition as a real lightning process corresponding to one return strike of a ground flash or one K change of a cloud flash;
d2, noise still exists in the observation data processed by the face element noise filtering method, the noise can be further filtered only after cluster analysis, namely false signal filtering, a wind cloud four-number static satellite lightning imager false signal filtering algorithm, for lightning events, groups and lightning products after cluster analysis, whether a specific area only has one event, group or lightning is firstly analyzed, if the specific area has the event, the specific area may be false signal, then, false signals generated by different noises are filtered for the lightning products output by cluster analysis by adopting the following method, particle noise is filtered by adopting the Monte Carlo method, background noise analysis, transition area filtering, flicker filtering, edge filtering, association filtering and group filtering;
E. and (3) generating simulation agent data: due to the scattering and absorption effects of the cloud layer, light radiation emitted by lightning is transmitted in the cloud layer, the light radiation intensity is attenuated, due to the particularity of the unsteady light source of the lightning light source, the Monte Carlo method can be applied to accurately simulate the radiation transmission process of the lightning light radiation in the cloud, and in addition, because the lightning light radiation detected by a satellite comes from the cloud top, the height correction of the cloud top is needed to be utilized to improve the lightning positioning precision;
e1, generating method of instrument simulation proxy data, firstly assuming position and occurrence time of light pulse, secondly generating current amplitude corresponding to the light pulse with normal distribution, and finally obtaining radiance value of light-emitting event and photon distribution corresponding to each light pulse by using empirical distribution function and current amplitude.
2. The FY4A satellite profile and radar networking profile-based cloud-ground flash initial-hit detection algorithm of claim 1, wherein: the step A is used as a prototype of the LIS, the inclination angle of the LIS is 70 degrees relative to the equator, the track height is 740km, the observation area is 75 degrees S-75 degrees N, the track cycle is 100 minutes, the global coverage is 55 days, the size of a charge coupled device detection array (CCD) for detecting lightning light radiation is 128 multiplied by 128, the observation field is 1300km multiplied by 1300km, the spatial resolution is 10km, and the lightning detection rate is 50% -66%.
3. The FY4A satellite profile and radar networking profile-based cloud-ground flash initial-hit detection algorithm of claim 1, wherein: and the processor in the step B mainly comprises satellite observation data calibration and positioning, and a product generation system comprising product algorithms such as false signal filtering, cluster analysis and the like.
4. The FY4A satellite profile and radar networking profile-based cloud-ground flash initial-hit detection algorithm of claim 1, wherein: and D, the on-satellite data preprocessing system mainly comprises an on-satellite real-time event processor, wherein the real-time event processor receives the original observation data output by the CCD area array in parallel, and the original observation data are subjected to signal receiving and amplitude limiting, multi-frame average background estimation, background signal removal, element-by-element threshold value self-adaptive setting, lightning signal detection and lightning signal encoding.
5. The FY4A satellite profile and radar networking profile-based cloud-ground flash initial-hit detection algorithm of claim 1, wherein: the monte carlo method in the step D2 filters particle noise as randomly distributed noise generated by high-energy particle influence detected by the CCD area array, and the scintillation filtering filters sunlight scattering influence on the satellite observation platform.
6. The FY4A satellite profile and radar networking profile-based cloud-ground flash initial-hit detection algorithm of claim 1, wherein: and the simulation agent data in the step E1 is applied to a clustering algorithm simulation test of the wind cloud number four geostationary satellite lightning imager.
7. The FY4A satellite profile and radar networking profile-based cloud-ground flash initial-hit detection algorithm of claim 1, wherein: the instrument detection system noise of the lightning imager in the step C1 includes repetitive noise, ghost noise, lollipop noise, trajectory noise, impact noise, and the like.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116148544A (en) * | 2023-04-04 | 2023-05-23 | 国家卫星气象中心(国家空间天气监测预警中心) | Automatic wheel inspection system for original pixel area of lightning detection of satellite lightning imager |
| CN117473878A (en) * | 2023-12-27 | 2024-01-30 | 青岛市生态与农业气象中心(青岛市气候变化中心) | Ground flash intensity inversion method based on stationary satellite data |
| CN117473877A (en) * | 2023-12-27 | 2024-01-30 | 青岛市生态与农业气象中心(青岛市气候变化中心) | Lightning three-dimensional radiation source position inversion method based on stationary satellite data |
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2021
- 2021-12-28 CN CN202111632577.0A patent/CN114280379A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116148544A (en) * | 2023-04-04 | 2023-05-23 | 国家卫星气象中心(国家空间天气监测预警中心) | Automatic wheel inspection system for original pixel area of lightning detection of satellite lightning imager |
| CN116148544B (en) * | 2023-04-04 | 2023-06-23 | 国家卫星气象中心(国家空间天气监测预警中心) | Automatic wheel inspection system for original pixel area of lightning detection of satellite lightning imager |
| CN117473878A (en) * | 2023-12-27 | 2024-01-30 | 青岛市生态与农业气象中心(青岛市气候变化中心) | Ground flash intensity inversion method based on stationary satellite data |
| CN117473877A (en) * | 2023-12-27 | 2024-01-30 | 青岛市生态与农业气象中心(青岛市气候变化中心) | Lightning three-dimensional radiation source position inversion method based on stationary satellite data |
| CN117473878B (en) * | 2023-12-27 | 2024-03-15 | 青岛市生态与农业气象中心(青岛市气候变化中心) | Ground flash intensity inversion method based on stationary satellite data |
| CN117473877B (en) * | 2023-12-27 | 2024-03-22 | 青岛市生态与农业气象中心(青岛市气候变化中心) | Lightning three-dimensional radiation source position inversion method based on stationary satellite data |
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