Thunderstorm gale diagnosis and analysis method and system based on radiation and cloud variables

Abstract

The invention relates to the technical field of data processing, and particularly discloses a thunderstorm and gale diagnostic analysis method and system based on radiation and cloud variables, and the method comprises the steps: carrying out the data matching of the product data on a FY-4 satellite and the simulation data of the thunderstorm and gale process; determining a spatial data set and a site data set of the thunderstorm gale process according to the matched data; and based on the steam furnace effect of solar short wave radiation, according to the spatial data set and the station data set, completing diagnostic analysis of the thunderstorm gale process. On the basis of the steam furnace effect of solar radiation and in combination with the physical process of thunderstorm and gale convection development, a diagnosis scheme for radiation energy, cloud variables and temperature and humidity profiles is designed. And the innovative application of satellite observation data such as secondary data products of a Chinese new generation of stationary satellites FY-4B and the like in diagnostic analysis is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a thunderstorm gale diagnosis and analysis method and system based on radiation and cloud variables. Background Art

[0002] Thunderstorms are a typical form of severe convective weather. Solar shortwave radiation and cloud variables, as important influencing factors, play a key role in the triggering, development and organization of convection. At present, regional numerical weather forecast models are mainly used to guide the outlook forecast of severe convective weather. China's new generation of geostationary satellite FY-4B can provide continuous observation data products with high temporal and spatial resolution, providing a good data basis for the diagnostic analysis of model forecasts of thunderstorms. This diagnostic analysis method based on radiation and cloud variables, combined with the physical process of thunderstorms, starts from the energy physical quantity of solar shortwave radiation, and conducts detailed diagnosis of radiation energy, land surface temperature, related cloud variables and vertical temperature and humidity profiles from both spatial analysis and site analysis, providing a new scientific reference for improving the regional model's simulation capability of thunderstorms. Summary of the invention

[0003] To achieve the purpose of the present invention, the present application provides a thunderstorm gale diagnosis and analysis method based on radiation and cloud variables, comprising: Step S1: Matching the product data on the Fengyun-4 satellite with the simulated data of the thunderstorm gale process; Step S2: determining the spatial data set and the station data set of the thunderstorm gale process according to the matched data; Step S3: Based on the steam furnace effect of solar shortwave radiation and the spatial data set and the site data set, complete the diagnostic analysis of the thunderstorm gale process.

[0004] In some specific embodiments, step S1 includes: Step S11: Generate a dataset of the product data of the Fengyun-4 satellite after time-space matching according to the detection distance of the interferometric atmospheric vertical sounder and the geostationary orbit radiation imager carried by the satellite; Step S12: using a weather forecast model to perform numerical simulation of a thunderstorm gale process, and determining simulation data of the thunderstorm gale; Step S13: performing time-space matching of the product data and the simulation data.

[0005] In some specific embodiments, step S2 includes: Step S21: determining the stations affected by the thunderstorm and gale process in sequence according to the actual situation, and determining a plurality of typical affected stations in combination with the observation conditions of the stations; Step S22: The matched data are used to form a spatial dataset and a site dataset of this thunderstorm gale process.

[0006] In some specific embodiments, step S3 includes: Determine the occurrence time, phase change and convection intensity of thunderstorm gale process based on diagnostic variables; The diagnostic variables include shortwave radiation energy, longwave radiation energy, cloud coverage, cloud top height and cloud phase.

[0007] In some specific embodiments, step S3 further includes: Based on the station data set, an overall comparative analysis, a time series comparative analysis, and a profile comparative analysis were performed on the shortwave net radiation energy, land surface temperature, cloud coverage, cloud top height, and vertical temperature and humidity profiles of the thunderstorm gale process.

[0008] To achieve the same invention purpose, the present application also provides a thunderstorm gale diagnosis and analysis system based on radiation and cloud variables, comprising: Data matching module: used to match the product data on the Fengyun-4 satellite with the simulated data of the thunderstorm and gale process; Dataset construction module: used to determine the spatial dataset and site dataset of the thunderstorm gale process based on the matched data; Data analysis module: used to complete the diagnostic analysis of the thunderstorm gale process based on the steam furnace effect of solar shortwave radiation and the spatial data set and the site data set.

[0009] In some specific embodiments, the data matching module is used to perform the following steps: Step S11: Generate a dataset of the product data of the Fengyun-4 satellite after time-space matching according to the detection distance of the interferometric atmospheric vertical sounder and the geostationary orbit radiation imager carried by the satellite; Step S12: using a weather forecast model to perform numerical simulation of a thunderstorm gale process, and determining simulation data of the thunderstorm gale; Step S13: performing time-space matching of the product data and the simulation data.

[0010] In some specific embodiments, the data set construction module is used to perform the following steps: Step S21: determining the stations affected by the thunderstorm and gale process in sequence according to the actual situation, and determining a plurality of typical affected stations in combination with the observation conditions of the stations; Step S22: The matched data are used to form a spatial dataset and a site dataset of this thunderstorm gale process.

[0011] In some specific embodiments, the data analysis module is used to perform the following steps: Determine the occurrence time, phase change and convection intensity of thunderstorm gale process based on diagnostic variables; The diagnostic variables include shortwave radiation energy, longwave radiation energy, cloud coverage, cloud top height and cloud phase.

[0012] In some specific embodiments, the data analysis module is further configured to perform the following steps: Based on the station data set, an overall comparative analysis, a time series comparative analysis, and a profile comparative analysis were performed on the shortwave net radiation energy, land surface temperature, cloud coverage, cloud top height, and vertical temperature and humidity profiles of the thunderstorm gale process.

[0013] Beneficial effects of the above technical solution: This application is based on the steam furnace effect of solar radiation and combines the physical process of thunderstorm convection development to design a diagnostic scheme for radiation energy, cloud variables, and temperature and humidity profiles. It realizes the innovative application of satellite observation data such as the secondary data products of China's new generation geostationary satellite FY-4B in diagnostic analysis. The diagnostic scheme based on physical processes helps to more accurately understand the dynamics and thermodynamic processes of thunderstorms. Finally, based on the results of diagnostic analysis, this application provides new ideas and methods for improving the application of numerical forecast models in extreme weather forecasting, optimizing thunderstorm forecast models, improving forecast capabilities, and providing more accurate scientific support for meteorological warnings and disaster prevention. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 A schematic flow chart of a thunderstorm gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a thunderstorm and gale diagnosis and analysis system based on radiation and cloud variables provided by an embodiment of the present invention; Figure 3 A framework diagram of a thunderstorm gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention; Figure 4A schematic diagram of AGRI observation of a thunderstorm gale process according to a thunderstorm gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention; FIG5 (a) is a schematic diagram of shortwave net radiation energy simulated by CMA-MESO of a thunderstorm wind diagnostic analysis method based on radiation and cloud variables provided by an embodiment of the present invention; FIG5( b ) is a schematic diagram of shortwave net radiation energy observed by FY-4B according to a thunderstorm and gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention; FIG5( c ) is a schematic diagram of the spatial distribution of land surface temperature simulated by CMA-MESO of a thunderstorm gale diagnostic analysis method based on radiation and cloud variables provided by an embodiment of the present invention; FIG5( d ) is a schematic diagram of the spatial distribution of land surface temperature observed by FY-4B according to a thunderstorm and gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention; Figure 6 A schematic diagram of comparative analysis of observations and simulations of 14 typical stations in a thunderstorm gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention; FIG. 7 (a) is a schematic diagram of a temperature profile of a certain station of a thunderstorm and gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention; FIG7( b ) is a schematic diagram of a humidity profile of a certain station in a thunderstorm and gale diagnosis and analysis method based on radiation and cloud variables provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0017] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar symbols throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0018] Embodiment 1 An embodiment of the present invention provides a thunderstorm gale diagnosis and analysis method based on radiation and cloud variables, referring to Figure 1 As shown, including: Step S1: Match the product data on the Fengyun-4 satellite with the simulated data of the thunderstorm gale process. The product data on the Fengyun-4 satellite is the L2 product data of FY-4B (FY-4 satellite).

[0019] In a specific embodiment of the present invention, step S1 includes: Step S11: Generate a dataset of the product data of the Fengyun-4 satellite after time-space matching according to the detection distance of the interferometric atmospheric vertical sounder and the geostationary orbit radiation imager carried by the satellite; Step S12: using a weather forecast model to perform numerical simulation of a thunderstorm gale process, and determining simulation data of the thunderstorm gale; Step S13: performing time-space matching of the product data and the simulation data.

[0020] Specifically, the required meteorological model is selected for numerical simulation of thunderstorm and gale process. In this embodiment, CMA-MESO simulation is taken as an example. In July 2005, the mesoscale model GEAPES-MESO independently developed by the China Meteorological Administration established a 30KM business trial operation at the International Meteorological Center and passed the business acceptance and put into business operation in July 2006, and began to release regional model forecasts. In July 2014, GRAPES-MESO V4.0 introduced the fourth-order horizontal diffusion scheme and officially operated in the National Meteorological Center. In 2024, the horizontal resolution of CMA-MESO V6.0 was increased to 1km, and the time resolution was 1h. The model business work has been completed. The model data comes from the CMA-MESO_3km model at 15, 18, and 21 on May 29, 2024 (universal time, the same below) and 00, 03, 06, 09, and 12 on May 30. The 1h forecast products are reported with a spatial resolution of 3km×3km. The specific operational forecast model parameters are shown in Table 1.

[0021] Table 1 CMA-MESO_3km service mode operating parameters

[0022] Afterwards, according to the detection distance of AGRI (Multi-channel Scanning Imaging Radiometer) and GIIRS (Atmospheric Vertical Sounder) carried by FY-4B (Fengyun-4 Satellite), a dataset of FY-4B secondary product data after spatiotemporal matching was generated. The detection distance of GIIRS is 12km, and data products for the Chinese region are generated every 1h; the detection distance of AGRI is 4km, and full-disk detection is performed every 15 minutes. Therefore, the method of spatial matching is to use GIIRS as the standard, form a square scanning area with a side length of 12km, and find the data of the longitude and latitude of the AGIR detection point in this area for spatial matching. For time matching, the detection time of GIIRS is selected as the standard, and the data with the closest detection time of AGRI is selected as the matching data. The specific product data and variables that need to be matched are shown in Table 2.

[0023] Table 2 FY-4B secondary data products and related variables

[0024] Step S2: Determine the spatial dataset and site dataset of the thunderstorm gale process based on the matched data.

[0025] In a specific embodiment of the present invention, step S2 includes: Step S21: determining the stations affected by the thunderstorm and gale process in sequence according to the actual situation, and determining a plurality of typical affected stations in combination with the observation conditions of the stations; Step S22: The matched data are used to form a spatial dataset and a site dataset of this thunderstorm gale process.

[0026] Specifically, refer to Figure 3 As shown in the figure, according to the diagnosed thunderstorm and gale impact sequence and combined with the site observation situation, 14 typical impact sites (need to include sites with the highest wind speed, prominent temperature changes and can reflect the time impact sequence) are selected. The FY-4B observation product data and the model simulation data are matched in time and space to form regional data sets and site data sets, and the matched data are used to form the spatial data set and site data set of this thunderstorm and gale process.

[0027] Step S3: Based on the steam furnace effect of solar shortwave radiation and the spatial data set and the site data set, complete the diagnostic analysis of the thunderstorm gale process.

[0028] Specifically, according to the heat flow equation in the basic atmospheric equation, the temperature is affected by the temperature advection term, the vertical motion term, and the non-adiabatic heating term. The non-adiabatic heating term is mainly composed of radiation heating and water vapor phase change process. Therefore, solar shortwave radiation, as an energy source, can cause changes in atmospheric temperature and plays an extremely important role in the brewing and outbreak of the entire convection.

[0029] The process of atmospheric warming caused by solar shortwave radiation is as follows: after sunrise, solar shortwave radiation will continue to irradiate the ground through the atmosphere. After the surface absorbs the shortwave radiation, it will rapidly heat up and radiate longwave radiation outward at its own temperature. The near-ground atmosphere will continue to heat up after absorbing the longwave radiation emitted by the surface, and the low-level air mass will become unstable and move upward. During the rising process of the air mass, the temperature of the air mass itself will continue to drop, which will cause the saturated water vapor pressure to continue to decrease. When the saturated water vapor pressure is equal to the actual water vapor pressure, the air mass begins to condense and a phase change occurs. After that, it continues to condense, collide and grow to form cloud droplets. When the buoyancy is less than its own gravity, it begins to descend. If dry air is involved in the process, the water vapor content will be further reduced, and the evaporation and cooling will be accelerated. The liquid water and solid water that have not been completely evaporated when reaching the ground will cause precipitation and hail weather on the ground. At the same time, the ground will cool down and be accompanied by strong wind divergence to form thunderstorms.

[0030] According to the basic physical formula of the Dudhia shortwave radiation parameterization scheme currently used in CMA-MESO, it can be known that the solar radiation reaching the surface is mainly composed of two parts, namely the incident radiation reaching the top of the atmosphere minus the atmospheric absorption part.

[0031] Therefore, on sunny days, when there are no clouds, shortwave radiation is mainly affected by atmospheric scattering and water vapor absorption, and the heating effect of shortwave radiation will continue to act and heat the ground; when clouds appear, cloud radiation will lead to a decrease in shortwave radiation, thereby affecting the radiation heating rate.

[0032] In a specific embodiment of the present invention, step S3 includes: Determine the occurrence time, phase change and convection intensity of thunderstorm gale process based on diagnostic variables; The diagnostic variables include shortwave radiation energy, longwave radiation energy, cloud coverage, cloud top height and cloud phase.

[0033] In a specific embodiment of the present invention, step S3 further includes: Based on the station data set, an overall comparative analysis, a time series comparative analysis, and a profile comparative analysis were performed on the shortwave net radiation energy, land surface temperature, cloud coverage, cloud top height, and vertical temperature and humidity profiles of the thunderstorm gale process.

[0034] In a specific embodiment of the present invention, the overall situation is analyzed and judged based on the FY-4B satellite observation product and the physical process of thunderstorm development. The diagnostic variables mainly used here include shortwave radiation, longwave radiation, cloud coverage, cloud top height and cloud phase, which comprehensively grasp the occurrence time, phase change and convection intensity of thunderstorms; the diagnostic data set of the Beijing area is used to perform diagnostic analysis of the simulation of FY-4B observations, and the overall impact range of thunderstorms and their simulation in space is grasped. The diagnostic variables are mainly shortwave net radiation, land surface temperature, cloud coverage and cloud top height, and the spatial distribution of variables can be compared to explore and find the difference in the order of thunderstorm impact; the site diagnostic data set of 14 typical impact sites is used to perform specific diagnostic analysis on shortwave net radiation energy, land surface temperature, cloud coverage, cloud top height and vertical temperature and humidity profiles. This part can be divided into overall comparative analysis, time series comparative analysis and profile comparative analysis. Overall analysis can grasp the simulation of a variable as a whole, while time series comparative analysis can analyze the simulation differences of variables during thunderstorms (such as the early and late cloud formation time, before and after radiation heating, etc.). The final profile comparative analysis can further improve and supplement the diagnostic parameters of physical processes from a vertical perspective, such as convective effective potential energy CAPE, sinking effective potential energy DCAPE, convective inhibition energy CIN, etc., and effectively combine them with the existing diagnostic analysis methods of actual forecasts. Finally, the diagnostic analysis of radiation energy, land surface temperature, related cloud variables and vertical temperature and humidity profiles under temporal and spatial changes is completed, and combined with physical processes and principles, diagnostic analysis opinions and research improvement methods for model improvement are formed.

[0035] Reference Figure 4 As shown in the figure, taking Yanqing Station as an example, it is found that after 8:00 on May 30, 2024, the SSI will increase to 400W / m2, directly heating the ground, causing the ground to heat up rapidly. The ULR radiated outward at its own temperature also continues to increase, and the ULR growth rate lags behind the SSI. During the heating process, the surface air mass rises rapidly due to the heat, and begins to cool and condense under the strong lifting effect. Clouds begin to form at 12:00, and the shortwave radiation reaching the surface is reduced due to the formation of clouds. From 13:00 to 14:00, the cloud body continues to climb upward and develop. Liquid water begins to appear in the cloud phase part of the corresponding figure, reaching its peak at 14:00 (strong convective and windy weather begins to appear in the Yanqing area).

[0036] When comparing spatial distribution, if there are clouds in the area when FY4B observes land surface temperature, the actual surface conditions will not be detected, and blank areas will appear in the spatial distribution of variables. In addition, before the formation of clouds, the heating effect of solar radiation promotes the formation of convection; after the formation of clouds, the clouds scatter and absorb the solar shortwave radiation, which reduces the solar shortwave radiation reaching the ground.

[0037] Referring to Figures 5 (a) to 5 (d), it can be seen that when there is no cloud, shortwave radiation continues to heat the ground: the solar shortwave radiation simulated by CMA-MESO has begun to heat up at 06:00, and the overall intensity from 06:00 to 10:00 after heating is slightly greater than the FY4B observation effect, and the overall intensity is the same from 11:00 to 12:00. After the formation of clouds, the enhanced cloud radiation will cause a decrease in shortwave radiation. From 13:00 to 16:00, a low-value area of ​​shortwave radiation appears, which corresponds to the cloud blocking part. The low-value area of ​​shortwave radiation caused by the cloud blocking in CMA-MESO simulation is smaller. From the analysis of land surface temperature, when there is no cloud: because the solar shortwave radiation simulated by CMA-MESO starts heating a little earlier and has a slightly higher intensity, the surface temperature simulated by CMA-MESO at 07:00 is larger than that of observation, with a temperature difference of about 10K.

[0038] For the station data sets of 14 typical impact stations for diagnostic analysis, we first conduct an overall analysis of the three variables of shortwave net radiation, land surface temperature, and cloud top height at these stations. Figure 6 As shown in the figure, the shortwave radiation simulated by CMA-MESO is stronger overall when the intensity is greater than 300W / m2, with a difference of about 100W / m2, which in turn corresponds to a higher overall land surface temperature, with a maximum difference of about 10K. In addition, the cloud top height comparison analysis found that during this thunderstorm gale, there was a situation where the observed cloud top height was higher and the actual convection was stronger, but CMA-MESO did not simulate the cloud. Take the product data and simulation data of a station in Table 3 as an example.

[0039] Table 3 Comparison of simulated unstable energy at a certain site with actual observations

[0040] The CAPE and DCAPE simulated by CMA-MESO are both small, that is, the unstable energy simulation is small, while the convective inhibition energy CIN simulation is large. Therefore, the unstable ascent conditions simulated by CMA-MESO are more difficult than those observed, which ultimately leads to insufficient simulation intensity of convective development. From the temperature profile of Figure 7 (a), from 09:00 to 13:00, the 500-1000hPa temperature simulated by CMA-MESO is slightly lower than that observed by GIIRS, the forecast of the temperature difference between the middle and lower layers (T850-T700) is low, and the gap between the upper cold and the lower warm is small, resulting in insufficient convective development intensity. From the humidity profile of Figure 7 (b), from 07:00 to 13:00, GIIRS observed that the specific humidity near 700hPa is smaller and the air is drier. Studies have shown that the intrusion of dry air near 700hPa will accelerate the evaporation rate of strong convective descent and make the convective intensity stronger. Therefore, the simulation of water vapor still needs to be improved and optimized, and the prediction process of dry air entrainment at 700hPa still needs to be strengthened.

[0041] This application is based on the steam furnace effect of solar radiation and combines the physical process of thunderstorm convection development to design a diagnostic scheme for radiation energy, cloud variables, and temperature and humidity profiles. It realizes the innovative application of satellite observation data such as the secondary data products of China's new generation geostationary satellite FY-4B in diagnostic analysis. The diagnostic scheme based on physical processes helps to more accurately understand the dynamics and thermodynamic processes of thunderstorms. Finally, based on the results of diagnostic analysis, this application provides new ideas and methods for improving the application of numerical forecast models in extreme weather forecasting, optimizing thunderstorm forecast models, improving forecast capabilities, and providing more accurate scientific support for meteorological warnings and disaster prevention.

[0042] Embodiment 2 An embodiment of the present invention provides a thunderstorm gale diagnosis and analysis system based on radiation and cloud variables, referring to Figure 2 As shown, including: Data matching module 10: used to match the product data on the Fengyun-4 satellite with the simulated data of the thunderstorm gale process; Dataset construction module 20: used to determine the spatial dataset and site dataset of the thunderstorm gale process according to the matched data; Data analysis module 30: used to complete the diagnosis and analysis of the thunderstorm gale process based on the steam furnace effect of solar shortwave radiation according to the spatial data set and the site data set.

[0043] In a specific embodiment of the present invention, the data matching module is used to perform the following steps: Step S11: Generate a dataset of the product data of the Fengyun-4 satellite after time-space matching according to the detection distance of the interferometric atmospheric vertical sounder and the geostationary orbit radiation imager carried by the satellite; Step S12: using a weather forecast model to perform numerical simulation of a thunderstorm gale process, and determining simulation data of the thunderstorm gale; Step S13: performing time-space matching of the product data and the simulation data.

[0044] In a specific embodiment of the present invention, the data set construction module is used to perform the following steps: Step S21: determining the stations affected by the thunderstorm and gale process in sequence according to the actual situation, and determining a plurality of typical affected stations in combination with the observation conditions of the stations; Step S22: The matched data are used to form a spatial dataset and a site dataset of this thunderstorm gale process.

[0045] In a specific embodiment of the present invention, the data analysis module is used to perform the following steps: Determine the occurrence time, phase change and convection intensity of thunderstorm gale process based on diagnostic variables; The diagnostic variables include shortwave radiation energy, longwave radiation energy, cloud coverage, cloud top height and cloud phase.

[0046] In a specific embodiment of the present invention, the data analysis module is further configured to perform the following steps: Based on the station data set, an overall comparative analysis, a time series comparative analysis, and a profile comparative analysis were performed on the shortwave net radiation energy, land surface temperature, cloud coverage, cloud top height, and vertical temperature and humidity profiles of the thunderstorm gale process.

[0047] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0048] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referenced to each other. The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the functions in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing terminal device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1The steps of the functions specified in one or more boxes. Although the preferred embodiments of the embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the attached claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention. Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or terminal device including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0049] The method and device provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

[0050] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", "one specific embodiment" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A thunderstorm gale diagnosis and analysis method based on radiation and cloud variables, characterized in that: include: Step S1: Matching the product data of the Fengyun-4 satellite with the simulated data of the thunderstorm gale process; Step S2: determining the spatial data set and the station data set of the thunderstorm gale process according to the matched data; Step S3: Based on the steam furnace effect of solar shortwave radiation and the spatial data set and the site data set, complete the diagnostic analysis of the thunderstorm gale process.

2. The thunderstorm gale diagnosis and analysis method based on radiation and cloud variables according to claim 1 is characterized in that: Step S1 includes: Step S11: Generate a dataset of the product data of the Fengyun-4 satellite after time-space matching according to the detection distance of the interferometric atmospheric vertical sounder and the geostationary orbit radiation imager carried by the satellite; Step S12: using a weather forecast model to perform numerical simulation of a thunderstorm gale process, and determining simulation data of the thunderstorm gale; Step S13: performing time-space matching of the product data and the simulation data.

3. The thunderstorm gale diagnosis and analysis method based on radiation and cloud variables according to claim 1 is characterized in that: Step S2 includes: Step S21: determining the stations affected by the thunderstorm and gale process in sequence according to the actual situation, and determining a plurality of typical affected stations in combination with the observation conditions of the stations; Step S22: The matched data are used to form a spatial data set and a site data set of this thunderstorm gale process.

4. The thunderstorm gale diagnosis and analysis method based on radiation and cloud variables according to claim 1 is characterized in that: Step S3 includes: Determine the occurrence time, phase change and convection intensity of thunderstorm gale process based on diagnostic variables; The diagnostic variables include shortwave radiation energy, longwave radiation energy, cloud coverage, cloud top height and cloud phase.

5. The thunderstorm gale diagnosis and analysis method based on radiation and cloud variables according to claim 1 is characterized in that: Step S3 also includes: Based on the station data set, an overall comparative analysis, a time series comparative analysis, and a profile comparative analysis were performed on the shortwave net radiation energy, land surface temperature, cloud coverage, cloud top height, and vertical temperature and humidity profiles of the thunderstorm gale process.

6. A thunderstorm and gale diagnosis and analysis system based on radiation and cloud variables, characterized in that: include: Data matching module: used to match the product data of Fengyun-4 satellite with the simulated data of thunderstorm and gale process; Dataset construction module: used to determine the spatial dataset and site dataset of the thunderstorm gale process based on the matched data; Data analysis module: used to complete the diagnostic analysis of the thunderstorm gale process based on the steam furnace effect of solar shortwave radiation and the spatial data set and the site data set.

7. The thunderstorm and gale diagnosis and analysis system based on radiation and cloud variables according to claim 6 is characterized in that: The data matching module is used to perform the following steps: Step S11: Generate a dataset of the product data of the Fengyun-4 satellite after time-space matching according to the detection distance of the interferometric atmospheric vertical sounder and the geostationary orbit radiation imager carried by the satellite; Step S12: using a weather forecast model to perform numerical simulation of a thunderstorm gale process, and determining simulation data of the thunderstorm gale; Step S13: performing time-space matching of the product data and the simulation data.

8. The thunderstorm gale diagnosis and analysis system based on radiation and cloud variables according to claim 6, characterized in that: The dataset construction module is used to perform the following steps: Step S21: determining the stations affected by the thunderstorm and gale process in sequence according to the actual situation, and determining a plurality of typical affected stations in combination with the observation conditions of the stations; Step S22: The matched data are used to form a spatial data set and a site data set of this thunderstorm gale process.

9. The thunderstorm and gale diagnosis and analysis system based on radiation and cloud variables according to claim 6, characterized in that: The data analysis module is used to perform the following steps: Determine the occurrence time, phase change and convection intensity of thunderstorm gale process based on diagnostic variables; The diagnostic variables include shortwave radiation energy, longwave radiation energy, cloud coverage, cloud top height and cloud phase.

10. The thunderstorm and gale diagnosis and analysis system based on radiation and cloud variables according to claim 6, characterized in that: The data analysis module is also used to perform the following steps: Based on the station data set, an overall comparative analysis, a time series comparative analysis, and a profile comparative analysis were performed on the shortwave net radiation energy, land surface temperature, cloud coverage, cloud top height, and vertical temperature and humidity profiles of the thunderstorm gale process.

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