Method for monitoring polar vortex and atmospheric humidity based on FY polar orbit meteorological satellite

Abstract

This invention discloses a method for monitoring polar vortices and atmospheric humidity based on the Fengyun polar-orbiting meteorological satellite. The method includes the following steps: quality control of VASS orbital data to generate high-precision, uniformly distributed three-dimensional atmospheric temperature and humidity latitude and longitude grid data for the Northern Hemisphere during daily daytime, nighttime, and all-day periods; based on the three-dimensional atmospheric temperature and humidity latitude and longitude grid data, polar vortex monitoring products, 850hPa specific humidity horizontal distribution products, and 200–1000hPa temperature and humidity vertical profile products are generated. The polar vortex monitoring product of this invention can meet the monitoring needs of cold air activity in medium- and long-term weather forecasts. The humidity horizontal distribution product can reflect the specific humidity content and water vapor transport in the lower troposphere, and the vertical profile product indicates the location and thickness of the wet layer. In operational services, it can monitor the movement of polar cold air in real time from the perspective of satellite observation and assess whether the humidity conditions in the lower troposphere are favorable for precipitation or snowfall.

Description

Technical Field

[0001] This invention relates to the field of remote sensing satellite technology, and specifically to a method for monitoring polar vortices and atmospheric humidity based on the Fengyun polar-orbiting meteorological satellite. Background Technology

[0002] In the past, remote sensing monitoring services lacked products for monitoring cold air activity in the medium and long term. At the same time, the monitoring of water vapor was often based on water vapor channel images. However, water vapor images reflect the radiation emitted by water vapor in the atmosphere. They mainly monitor the distribution of water vapor in the entire atmosphere and the changes in dry and wet zones, and are used to analyze the development and evolution of weather systems. They cannot reflect the water vapor transport in the lower troposphere.

[0003] In view of this, the present invention is proposed. Summary of the Invention

[0004] The technical problem this invention aims to solve is to overcome the shortcomings of existing technologies and provide a method for monitoring polar vortices and atmospheric humidity based on Fengyun polar-orbiting meteorological satellites. This method generates high-precision, uniformly distributed three-dimensional atmospheric temperature and humidity grid data in the Northern Hemisphere during daily daytime, nighttime, and throughout the day. Based on this three-dimensional atmospheric temperature and humidity grid data, polar vortex monitoring products, 850hPa specific humidity horizontal distribution products, and 200–1000hPa temperature and humidity vertical profile products are generated. The polar vortex monitoring product leverages the observational advantages of Fengyun polar-orbiting satellites in polar regions, meeting the monitoring needs of cold air activity in medium- and long-term weather forecasts. The humidity horizontal distribution product reflects the specific humidity content and water vapor transport in the lower troposphere, while the vertical profile product indicates the location and thickness of the wet layer. In operational services, this allows for real-time monitoring of the movement of cold air in polar regions from a satellite observation perspective, assessing whether the humidity conditions in the lower troposphere are favorable for precipitation or snowfall.

[0005] To solve the above-mentioned technical problems, the basic concept of the technical solution adopted by the present invention is as follows:

[0006] In a first aspect, a polar vortex monitoring method based on the Fengyun polar-orbiting meteorological satellite is characterized by the following steps:

[0007] Generate daytime, nighttime, and daily average 850 hPa temperature products for the region (30–90°N, -180–180°E);

[0008] The average value of 850 hPa temperature products monitored over a historical period is calculated to form the 850 hPa ten-day average temperature, ten-day maximum temperature, and ten-day minimum temperature products for the region (30~90°N, -180~180°E). The average value, maximum value, and minimum value of the same month and ten-day period within a 0.2×0.2° latitude and longitude grid are calculated.

[0009] The difference between the daily average temperature data of 850 hPa in the region (30~90°N, -180~180°E) and the ten-day average data over a historical period is used to form the 850 hPa temperature anomaly product for the region (30~90°N, -180~180°E).

[0010] The difference between the daily average temperature data of 850hPa in the region (30~90°N, -180~180°E) and the daily average temperature data of the previous day is calculated to form a 24-hour variable temperature product of 850hPa in the region (30~90°N, -180~180°E).

[0011] In a preferred embodiment of any of the above schemes, generating 850 hPa temperature products for the daytime, nighttime, and daily average of the region (30–90°N, -180–180°E) includes:

[0012] VASS orbital data retrieved from Fengyun polar-orbiting satellites were obtained. The temperature data for all times of day, night, and throughout the day were subjected to quality control, and data between 150 and 400 K were selected as valid values.

[0013] Noise was removed using median filtering, and the data was processed into high-precision, uniformly distributed three-dimensional atmospheric temperature data of the Northern Hemisphere using a 0.2×0.2° latitude and longitude grid.

[0014] By selecting the 850hPa altitude layer, the daytime, nighttime, and daily average 850hPa temperature products for the region (30~90°N, -180~180°E) are finally formed.

[0015] Secondly, an atmospheric humidity monitoring method based on Fengyun polar-orbiting meteorological satellites, the method comprising the following steps:

[0016] Acquire VASS orbit data from wind and cloud inversion and perform quality control on the VASS orbit data to generate high-precision, uniformly distributed three-dimensional latitude and longitude grid data of atmospheric temperature and humidity in the Northern Hemisphere for daily daytime, nighttime, and all-day periods.

[0017] Based on three-dimensional atmospheric temperature and humidity grid data, a horizontal distribution product of specific humidity at 850 hPa and a vertical profile product of temperature and humidity at altitudes of 200–1000 hPa are generated. The profile location can be interactively selected on the platform.

[0018] In a preferred embodiment of any of the above schemes, before acquiring the VASS orbit data obtained from wind-cloud inversion, the method further includes:

[0019] VASS track data from different tracks have overlapping coverage areas, requiring track splicing and data fusion.

[0020] In a preferred embodiment of any of the above schemes, quality control is performed on the VASS orbital data to generate high-precision, uniformly distributed three-dimensional latitude and longitude grid data of atmospheric temperature and humidity in the Northern Hemisphere for daily daytime, nighttime, and all-day periods, including:

[0021] The quality of temperature orbit data for all time periods during the day, night, and throughout the day was controlled, with data between 150 and 400 K selected as valid values.

[0022] Noise was removed using median filtering, and the temperature data was processed into a 0.2×0.2° latitude and longitude grid with 43 layers in the vertical height, ultimately forming three-dimensional temperature data for the Northern Hemisphere during the day, night, and daily average.

[0023] In a preferred embodiment of any of the above schemes, quality control is performed on the VASS orbital data to generate high-precision, uniformly distributed three-dimensional latitude and longitude grid data of atmospheric temperature and humidity in the Northern Hemisphere for daily daytime, nighttime, and all-day periods, further including:

[0024] The quality of the specific humidity orbit data for all time periods during the day, night, and throughout the day was controlled, and the data between 0 and 50 g / kg were selected as valid values.

[0025] Noise was removed using median filtering, and the specific humidity data was processed into a 0.2×0.2° latitude and longitude grid. The average value within the grid was calculated, with 43 layers in the vertical height.

[0026] This generates three-dimensional data on the average specific humidity during the day, night, and daytime in the Northern Hemisphere.

[0027] In a preferred embodiment of any of the above schemes, after generating three-dimensional data on the average specific humidity during the day, night, and daily in the Northern Hemisphere, the method further includes:

[0028] Based on the three-dimensional specific humidity data, a product with a specific humidity level distribution of 850 hPa in the region (10–55°N, 72–138°E) is formed.

[0029] In a preferred embodiment of any of the above schemes, after forming a product with a specific humidity level distribution of 850 hPa in the (10–55°N, 72–138°E) region, the method further includes:

[0030] Based on three-dimensional temperature and specific humidity data, a vertical profile product of temperature and specific humidity at an altitude of 200–1000 hPa is generated in the region (10–55°N, 72–138°E). Specific humidity is displayed using color filling, and temperature is displayed using contour lines.

[0031] In a preferred embodiment of any of the above schemes, the specific humidity data processed into a 0.2×0.2° latitude and longitude grid is used to calculate the average value within the grid.

[0032] Thirdly, a cold air activity monitoring system based on Fengyun polar-orbiting meteorological satellites includes:

[0033] The acquisition module is used to acquire VASS orbit data from wind and cloud inversion and to perform quality control on the VASS orbit data in order to generate high-precision, uniformly distributed three-dimensional latitude and longitude grid data of atmospheric temperature and humidity in the Northern Hemisphere for daily daytime, nighttime, and all-day periods.

[0034] The module is used to generate polar vortex monitoring products, 850hPa specific humidity horizontal distribution products, and 200-1000hPa vertical profile products based on three-dimensional atmospheric temperature and humidity grid data. The profile location can be interactively selected on the platform.

[0035] Fourthly, a cold air activity monitoring device based on Fengyun polar-orbiting meteorological satellites includes:

[0036] One or more processors;

[0037] A storage device for storing one or more programs, which, when executed by one or more processors, enable the processors to implement the polar vortex and atmospheric humidity monitoring method based on the Fengyun polar-orbiting meteorological satellite.

[0038] Fifthly, a computer-readable storage medium storing a program that, when executed by a processor, implements the aforementioned method for monitoring polar vortices and atmospheric humidity based on the Fengyun polar-orbiting meteorological satellite.

[0039] Compared with the prior art, the polar vortex and atmospheric humidity monitoring method based on the Fengyun polar-orbiting meteorological satellite in this application embodiment can monitor polar cold air activity in the medium and long term, the humidity level distribution product can reflect the specific humidity content and water vapor transport in the lower troposphere, and the vertical profile product indicates the location and thickness of the wet layer. In operational services, it can assess from the perspective of satellite observation whether the humidity conditions in the lower troposphere are conducive to the occurrence of precipitation or snowfall.

[0040] The specific embodiments of the present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0041] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. Some specific embodiments of this application will be described in detail below with reference to the accompanying drawings in an exemplary and non-limiting manner. The same reference numerals in the drawings designate the same or similar parts or components. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0042] Figure 1 This is a flowchart illustrating the method for monitoring polar vortices and atmospheric humidity based on the Fengyun polar-orbiting meteorological satellite, as described in this application.

[0043] Figure 2 This is a schematic diagram of a cold air activity monitoring system based on the Fengyun polar-orbiting meteorological satellite, as described in an embodiment of this application.

[0044] Figure 3 This is a schematic diagram of a cold air activity monitoring device based on the Fengyun polar-orbiting meteorological satellite, as described in an embodiment of this application.

[0045] It should be noted that these accompanying drawings and textual descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art by referring to specific embodiments. The elements in the drawings are schematic and not drawn to scale. Detailed Implementation

[0046] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some, not all, of the embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort should fall within the scope of protection of the present application.

[0047] It should be noted that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0048] The following embodiments of this application use the polar vortex and atmospheric humidity monitoring method based on the Fengyun polar-orbiting meteorological satellite as an example to illustrate the solution of this application in detail. However, this embodiment does not limit the scope of protection of this application.

[0049] Example 1

[0050] like Figure 1 As shown, this invention provides an atmospheric humidity monitoring method based on Fengyun polar-orbiting meteorological satellites, the method comprising the following steps:

[0051] Step 1: Acquire VASS orbit data derived from wind and cloud inversion, and perform quality control on the VASS orbit data to generate high-precision, uniformly distributed 3D geodesic, atmospheric temperature, humidity, and other latitude and longitude grid data for the Northern Hemisphere during daily daytime, nighttime, and all day. Note that VASS orbit data from different orbits may have overlapping areas, requiring orbit stitching and data fusion. The quality control of the VASS orbit data to generate high-precision, uniformly distributed 3D geodesic, atmospheric temperature, humidity, and other latitude and longitude grid data for the Northern Hemisphere during daily daytime, nighttime, and all day includes:

[0052] Step 11: Control the quality of temperature orbit data for all time periods during the day, night, and throughout the day, and select data between 150 and 400K as valid values;

[0053] Step 12: Remove noise using median filtering and process the temperature data into a 0.2×0.2° latitude and longitude grid with 43 layers in the vertical height, ultimately forming three-dimensional temperature data for the Northern Hemisphere during the day, night, and daily averages.

[0054] In the atmospheric humidity monitoring method based on the Fengyun polar-orbiting meteorological satellite described in this embodiment of the invention, since the VASS temperature and specific humidity retrieved by the FY-3D (Fengyun-3D) polar-orbiting meteorological satellite are orbital products, and there are overlapping coverage areas between different orbits, orbital splicing and data fusion are required. The quality of temperature orbital data for all time periods during the day (00:00 to 12:00 UTC), night (12:00 to 24:00 UTC), and the whole day (00:00 to 24:00 UTC) is controlled. Data between 150 and 400 K are selected as valid values, and noise is removed by median filtering. The data is processed into temperature data in a 0.2×0.2° latitude and longitude grid (the average value within the grid is calculated), with 43 layers (0.1 to 1013.25 hPa) in the vertical height, finally forming three-dimensional temperature data for the Northern Hemisphere (10 to 55°N, 72 to 138°E) during the day, night, and daily average.

[0055] Step 2: Based on the three-dimensional atmospheric temperature and humidity grid data, generate a horizontal distribution product of specific humidity at 850 hPa and vertical profile products of temperature and humidity at altitudes of 200–1000 hPa. The profile locations can be interactively selected on the platform, specifically including:

[0056] Step 21: Control the quality of the specific humidity orbit data for all times during the day, night, and throughout the day, and select the data between 0 and 50 g / kg as the valid values;

[0057] Step 22: Remove noise using median filtering, process the specific humidity data into a 0.2×0.2° latitude and longitude grid, calculate the average value within the grid, with a vertical height of 43 layers;

[0058] Step 23: Generate three-dimensional data of the specific humidity during the day, night, and daily averages in the Northern Hemisphere.

[0059] After generating three-dimensional data on the average specific humidity during the day, night, and daytime in the Northern Hemisphere, the following is also included:

[0060] Based on the three-dimensional specific humidity data, a product with a specific humidity level distribution of 850 hPa in the region (10–55°N, 72–138°E) is formed.

[0061] After forming a product with a specific humidity level distribution of 850 hPa in the region of (10–55°N, 72–138°E), the following is also included:

[0062] Based on three-dimensional temperature and specific humidity data, vertical profiles of temperature and specific humidity at altitudes of 200–1000 hPa are generated in the region (10–55°N, 72–138°E). Specific humidity is displayed using color filling, and temperature is displayed using contour lines. Specific humidity data processed into a 0.2×0.2° latitude and longitude grid is used to calculate the average value within the grid.

[0063] In the atmospheric humidity monitoring method based on the Fengyun polar-orbiting meteorological satellite described in this embodiment of the invention, the quality of specific humidity orbit data for all time periods during the day (00:00 to 12:00 UTC), night (12:00 to 24:00 UTC), and the entire day (00:00 to 24:00 UTC) is controlled. Data between 0 and 50 g / kg are selected as valid values. Median filtering is used to remove noise, and the data is processed into specific humidity data in a 0.2 × 0.2° latitude and longitude grid (average value within the grid is calculated). The vertical altitude is 43 layers (0.1–1013.25 hPa). Finally... Three-dimensional data of specific humidity for daytime, nighttime, and daily average in the region (10–55°N, 72–138°E) are generated. Based on the three-dimensional specific humidity data, a horizontal distribution product of specific humidity at 850 hPa in the region (10–55°N, 72–138°E) is generated. Based on the three-dimensional temperature and specific humidity data, a vertical profile product of temperature and specific humidity at an altitude of 200–1000 hPa in the region (10–55°N, 72–138°E) is generated (the profile location can be interactively selected on the platform). Specific humidity is displayed using color filling, and temperature is displayed using contour lines.

[0064] Main products include horizontal humidity distribution and vertical humidity profile products. The horizontal humidity distribution product provides a visual display of the specific humidity at 850 hPa in the (10–55°N, 72–138°E) region, which can monitor the content and transport of water vapor in the lower troposphere during the day, night, and throughout the day. The vertical humidity profile product can perform a vertical profile along the line connecting any two points in the (10–55°N, 72–138°E) region, and achieve a superimposed display of temperature and humidity at a height of 200–1000 hPa at the profile location, which is used to indicate the location and thickness of the wet layer.

[0065] Application effects: Precipitation (snow) requires favorable dynamic, energy and water vapor conditions. Humidity horizontal distribution products can reflect the content and transport of water vapor in the lower layer, while humidity vertical profile products can indicate the location and thickness of the wet layer, which is of indicative significance for the occurrence and intensity forecast of precipitation (snow).

[0066] Example 2

[0067] This invention provides a method for monitoring polar vortices based on the Fengyun polar-orbiting meteorological satellite, the method comprising the following steps:

[0068] Step 1: Since the VASS temperatures retrieved by the FY-3C (Fengyun-3C) and FY-3D (Fengyun-3D) polar-orbiting meteorological satellites are orbital products, and different orbits have overlapping coverage areas in the region (30–90°N, -180–180°E), orbital splicing and data fusion are required. The Northern Hemisphere region is divided into 0.2×0.2° latitude and longitude grids, and the average temperature within each grid is calculated. The quality of the orbital data for all time periods during the day (00:00 to 12:00 UTC), night (12:00 to 24:00 UTC), and the entire day (00:00 to 24:00 UTC) is controlled. Data between 150 and 400 K are selected as valid values, and noise is removed using median filtering. The data is then processed into 0.2×0.2° latitude and longitude grid data (and the average temperature within each grid is calculated), ultimately forming 850 hPa temperature products for the daytime, nighttime, and daily averages in the region (30–90°N, -180–180°E).

[0069] Step 2: Calculate the average 850hPa temperature of the FY-3C (Fengyun-3C) and FY-3D (Fengyun-3D) satellites in the region (30~90°N, -180~180°E) from 2018 to 2021 to form the 850hPa ten-day average temperature, maximum temperature, and minimum temperature products for the region (30~90°N, -180~180°E). Calculate the average, maximum, and minimum values ​​for the same month and ten-day period within a 0.2×0.2° latitude and longitude grid for the four years. For example, the first ten days of January would be from January 1st to January 10th.

[0070] Step 3: Calculate the difference between the daily average 850hPa temperature data of the (30~90°N, -180~180°E) region and the 4-year ten-day average data to form the 850hPa temperature anomaly product of the (30~90°N, -180~180°E) region. The anomaly reflects whether the temperature is higher or lower than the historical average for the same period. It can more intuitively reflect whether the region is colder or warmer than the average temperature. It is a commonly used expression in meteorology. The calculation of the daily average temperature anomaly is the daily average temperature minus the average temperature of the month and ten-day period from 2018 to 2021.

[0071] Step 4: Calculate the difference between the daily average temperature data of 850 hPa in the region (30~90°N, -180~180°E) and the daily average temperature data of the previous day to form a 24-hour temperature variation product of 850 hPa in the region (30~90°N, -180~180°E). The 24-hour temperature variation reflects whether the current day is colder or warmer than the previous day. It can visually show the movement and intensity changes of cold air masses and is a commonly used meteorological quantity. The calculation is the average temperature of the current day minus the average temperature of the previous day.

[0072] Product Application Effects: The polar vortex monitoring product leverages the observational advantages of the Fengyun-3 satellite in the polar regions, expanding the application areas of the Fengyun satellite. It provides meteorological support personnel with real-time information on the characteristics of polar vortex activity and cold air activity. It can monitor the movement direction and intensity changes of cold air masses in the region (30~90°N, -180~180°E) in real time, assess the impact of southward cold air on mid- and low-latitude regions, and intuitively reflect the changes in the location and intensity of the cold center from the 850hPa daily average temperature, daily average temperature anomaly, and 24-hour temperature variation, thus monitoring the situation of cold air masses in the polar regions.

[0073] Figure 3 The cold air activity monitoring equipment shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0074] like Figure 3 As shown, the cold air activity monitoring equipment based on the Fengyun polar-orbiting meteorological satellite is presented in the form of a general-purpose computing device. The components of the cold air activity monitoring equipment based on the Fengyun polar-orbiting meteorological satellite may include, but are not limited to: one or more processors or processing units, memory, and buses connecting different system components (including memory and processing units).

[0075] A bus refers to one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0076] Cold air activity monitoring equipment based on Fengyun polar-orbiting meteorological satellites typically includes a variety of computer-readable media. These media can be any available media that can be accessed by Fengyun polar-orbiting meteorological satellite-based cold air activity monitoring equipment, including volatile and non-volatile media, and portable and non-portable media.

[0077] The memory may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory. Cold air activity monitoring equipment based on Fengyun polar-orbiting meteorological satellites may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system may be used to read and write non-removable, non-volatile magnetic media (…). Figure 3 Not shown; usually referred to as a "hard drive"). Although Figure 3 Not shown, disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) may be provided. In these cases, each drive may be connected to a bus via one or more data media interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0078] A program / utility having a set (at least one) of program modules can be stored, for example, in memory. Such program modules include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules typically perform the functions and / or methods described in the embodiments of this invention.

[0079] The cold air activity monitoring equipment based on the Fengyun polar-orbiting meteorological satellite can also communicate with one or more external devices (e.g., keyboards, pointing devices, displays, etc.), one or more devices that allow users to interact with the equipment, and / or any device that enables communication between the equipment and one or more other computing devices (e.g., network cards, modems, etc.). This communication can be performed via input / output (I / O) interfaces. Furthermore, the equipment can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter. As shown in the figure, the network adapter communicates with other modules of the Fengyun polar-orbiting meteorological satellite-based cold air activity monitoring equipment via a bus. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with cold air activity monitoring equipment based on Fengyun polar-orbiting meteorological satellites, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0080] The processing unit executes various functional applications and data processing by running programs stored in the memory, such as implementing the stacking and splitting processing method provided in any embodiment of the present invention. Specifically: it acquires VASS orbital data derived from wind and cloud inversion and performs quality control on the VASS orbital data to generate high-precision, uniformly distributed three-dimensional atmospheric temperature and humidity latitude and longitude grid data for the Northern Hemisphere during daily daytime, nighttime, and all-day periods; based on the three-dimensional atmospheric temperature and humidity latitude and longitude grid data, it forms a horizontal distribution product of specific humidity at 850 hPa and a vertical profile product of temperature and humidity at altitudes of 200–1000 hPa, wherein the profile location can be interactively selected on the platform.

[0081] This invention also provides a computer-readable storage medium storing a program that, when executed by a processor, implements the stack splitting processing method as described in any embodiment of this invention. The method includes:

[0082] Acquire VASS orbit data from wind and cloud inversion and perform quality control on the VASS orbit data to generate high-precision, uniformly distributed three-dimensional latitude and longitude grid data of atmospheric temperature and humidity in the Northern Hemisphere for daily daytime, nighttime, and all-day periods.

[0083] Based on three-dimensional atmospheric temperature and humidity grid data, a horizontal distribution product of specific humidity at 850 hPa and a vertical profile product of temperature and humidity at altitudes of 200–1000 hPa are generated. The profile location can be interactively selected on the platform.

[0084] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0085] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0086] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0087] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A cold air activity monitoring method based on Fengyun polar orbit meteorological satellite, characterized in that, The method includes the following steps: The VASS orbital data retrieved from the Fengyun polar-orbiting meteorological satellite is obtained, and the quality control of the VASS orbital data is performed to generate latitude and longitude grid data of the Northern Hemisphere for daily daytime, nighttime, and all-day periods. Based on the aforementioned three-dimensional latitude and longitude grid data of atmospheric temperature and humidity, polar vortex monitoring products and atmospheric humidity monitoring products are formed. The polar vortex monitoring products include daily average temperature products at 850 hPa, temperature anomaly products at 850 hPa, and 24-hour temperature variation products at 850 hPa; the atmospheric humidity monitoring products include horizontal distribution products of specific humidity at 850 hPa and vertical profile products of temperature and specific humidity at altitudes of 200–1000 hPa; the generation of daily daytime, nighttime, and all-day three-dimensional atmospheric temperature and humidity latitude and longitude grid data for the Northern Hemisphere includes: Quality control was performed on all time-series temperature orbit data for daytime, nighttime, and the entire day. Temperature data between 150 and 400 K were selected as valid values. Median filtering was used to remove noise, and the data was processed into temperature data in a 0.2×0.2° latitude and longitude grid with 43 layers in the vertical height, forming three-dimensional temperature data for daytime, nighttime, and daily average in the Northern Hemisphere. Quality control was performed on all specific humidity orbit data for daytime, nighttime, and all-day periods. Specific humidity data between 0 and 50 g / kg were selected as valid values. Median filtering was used to remove noise, and the data was processed into a 0.2×0.2° latitude and longitude grid, with 43 vertical layers, forming three-dimensional specific humidity data for the Northern Hemisphere during the day, night, and daily averages. The resulting polar vortex monitoring products include: Based on three-dimensional temperature data, generate 850hPa temperature products for daytime, nighttime, and daily average values ​​in the region of 30–90°N and -180–180°E. The average value of 850 hPa temperature products monitored over a historical period is calculated to form the 850 hPa ten-day average temperature, ten-day maximum temperature, and ten-day minimum temperature products in the region of 30–90°N and -180–180°E. The difference between the daily average temperature data of 850hPa in the region of 30~90°N and -180~180°E and the historical ten-day average data is calculated to form the 850hPa temperature anomaly product in the region of 30~90°N and -180~180°E. The difference between the daily average temperature data at 850 hPa in the region of 30–90°N and -180–180°E and the daily average temperature data of the previous day is calculated to form a 24-hour temperature variation product at 850 hPa in the region of 30–90°N and -180–180°E; among which, the atmospheric humidity monitoring product includes: Based on the three-dimensional specific humidity data, a product with a horizontal distribution of specific humidity at 850 hPa in the region of 10–55°N and 72–138°E is generated. Based on three-dimensional temperature and specific humidity data, vertical profile products of temperature and specific humidity at an altitude of 200–1000 hPa are generated in the region of 10–55°N and 72–138°E. The profile location can be interactively selected on the platform, specific humidity is displayed using color filling, and temperature is displayed using contour lines.

2. The method of claim 1, wherein, The historical period is from 2018 to 2021.

3. A cold air activity monitoring system based on Fengyun polar orbit meteorological satellite, characterized in that, include: The acquisition module is used to acquire VASS orbit data retrieved from Fengyun polar-orbiting meteorological satellites and to perform quality control on the VASS orbit data in order to generate latitude and longitude grid data of three-dimensional atmospheric temperature and humidity in the Northern Hemisphere for daily daytime, nighttime, and all-day periods. The generation module is used to generate polar vortex monitoring products and atmospheric humidity monitoring products based on the three-dimensional atmospheric temperature and humidity latitude and longitude grid data. The polar vortex monitoring products include daily average temperature products at 850 hPa, temperature anomaly products at 850 hPa, and 24-hour temperature variation products at 850 hPa. The atmospheric humidity monitoring products include horizontal distribution products of specific humidity at 850 hPa and vertical profile products of temperature and specific humidity at altitudes of 200–1000 hPa, where the profile locations can be interactively selected on the platform. The module generates daily daytime, nighttime, and all-day three-dimensional atmospheric temperature and humidity latitude and longitude grid data for the Northern Hemisphere, including: Quality control was performed on all time-series temperature orbit data for daytime, nighttime, and the entire day. Temperature data between 150 and 400 K were selected as valid values. Median filtering was used to remove noise, and the data was processed into temperature data in a 0.2×0.2° latitude and longitude grid with 43 layers in the vertical height, forming three-dimensional temperature data for daytime, nighttime, and daily average in the Northern Hemisphere. Quality control was performed on all specific humidity orbit data for daytime, nighttime, and all-day periods. Specific humidity data between 0 and 50 g / kg were selected as valid values. Median filtering was used to remove noise, and the data was processed into a 0.2×0.2° latitude and longitude grid, with 43 vertical layers, forming three-dimensional specific humidity data for the Northern Hemisphere during the day, night, and daily averages. The resulting polar vortex monitoring products include: Based on three-dimensional temperature data, generate 850hPa temperature products for daytime, nighttime, and daily average values ​​in the region of 30–90°N and -180–180°E. The average value of 850 hPa temperature products monitored over a historical period is calculated to form the 850 hPa ten-day average temperature, ten-day maximum temperature, and ten-day minimum temperature products in the region of 30–90°N and -180–180°E. The difference between the daily average temperature data of 850hPa in the region of 30~90°N and -180~180°E and the historical ten-day average data is calculated to form the 850hPa temperature anomaly product in the region of 30~90°N and -180~180°E. The difference between the daily average temperature data at 850 hPa in the region of 30–90°N and -180–180°E and the daily average temperature data of the previous day is calculated to form a 24-hour temperature variation product at 850 hPa in the region of 30–90°N and -180–180°E; among which, the atmospheric humidity monitoring product includes: Based on the three-dimensional specific humidity data, a product with a horizontal distribution of specific humidity at 850 hPa in the region of 10–55°N and 72–138°E is generated. Based on three-dimensional temperature and specific humidity data, vertical profile products of temperature and specific humidity at an altitude of 200–1000 hPa are generated in the region of 10–55°N and 72–138°E. The profile location can be interactively selected on the platform, specific humidity is displayed using color filling, and temperature is displayed using contour lines.

4. A cold air activity monitoring device based on a polar orbiting meteorological satellite, characterized by, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the cold air activity monitoring method based on the Fengyun polar-orbiting meteorological satellite as described in any one of claims 1-2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the cold air activity monitoring method based on the Fengyun polar-orbiting meteorological satellite as described in any one of claims 1-2.

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