Meteorological and hydrological background data analysis, compilation and query system

Abstract

The present invention provides a meteorological and hydrological background data analysis, compilation and query system, including an important space launch site climate data query and analysis subsystem and a key target area climate background assessment subsystem. The meteorological and hydrological background data are displayed through the important space launch site climate data query and analysis subsystem, and the key target area climate background assessment subsystem is used to output the average and extreme values ​​of the climate and hydrological elements of the main launch sites and important target areas, the frequency of occurrence of important weather phenomena, the distribution law and the climate background characteristics. The present invention has the beneficial effects of improving the data processing capability, analysis depth and user service experience of the meteorological and hydrological background data analysis, compilation and query system.

Description

Technical Field

[0001] The invention belongs to the technical field of meteorological data compilation, and in particular relates to a meteorological and hydrological background data analysis, compilation and query system. Background Art

[0002] The meteorological and hydrological background data analysis, compilation and query system plays a vital role in space launch and meteorological research. The system provides key climate information for space launch sites by collecting and analyzing meteorological and hydrological data to ensure launch safety and mission success. The existing system realizes the query, analysis and evaluation of meteorological and hydrological data through the climate data query and analysis subsystem of important space launch sites and the climate background assessment subsystem of key target areas. However, the existing technology has limitations, such as insufficient flexibility in data processing, limitations of statistical analysis models, and low customization of service report generation. Summary of the invention

[0003] In view of this, the present invention aims to propose a meteorological and hydrological background data analysis, compilation and query system to enhance the data processing capability, analysis depth and user service experience of the meteorological and hydrological background data analysis, compilation and query system.

[0004] To achieve the above object, the technical solution of the present invention is achieved as follows:

[0005] Meteorological and hydrological background data analysis, compilation and query system.

[0006] Furthermore, it includes a climate data query and analysis subsystem for important space launch sites and a climate background assessment subsystem for key target areas. The climate data query and analysis subsystem for important space launch sites displays meteorological and hydrological background data, and the climate background assessment subsystem for key target areas outputs the average and extreme values ​​of climate and hydrological elements of major launch sites and key target areas, as well as the frequency and distribution of important weather phenomena and climate background characteristics;

[0007] The climate data query and analysis subsystem of important space launch sites collects ground site observations and high-altitude observation forecasts from the launch site weekly reports, and realizes climate statistical analysis and comprehensive display of meteorological elements at different time scales at the sites;

[0008] The climate background assessment subsystem for key target areas collects representative historical ground-based high-altitude observation data from stations near the target areas to achieve statistical analysis of climate characteristics of common meteorological elements and weather phenomena.

[0009] Furthermore, the workflow of the important space launch site climate data query and analysis subsystem includes:

[0010] S1. Standardize the basic meteorological and hydrological historical long-sequence data and the launch site's own historical meteorological and hydrological detection data;

[0011] S2. Calculate the average value, extreme value and frequency of occurrence of important weather phenomena of various elements of ground and high altitude climate and hydrology;

[0012] S3. Statistical distribution of meteorological elements such as clouds, precipitation, and air wind fields that have important impacts on space launches;

[0013] S4. Build a flexible query and display system based on elements, statistical types, and site areas to display analysis results.

[0014] Furthermore, the important space launch site climate data query and analysis subsystem includes a launch site climate data compilation module, a statistical analysis module, and a comprehensive query and display module;

[0015] The launch site climate data compilation module uses a plug-in multi-level extensible framework to decode different types of meteorological data inside and outside the launch site, and perform quality control, duplicate removal and standardization. It then uses LAPS fusion technology to achieve real-time fusion analysis of multi-source observation data, and finally outputs standardized, high-temporal and high-resolution data sets to support business development and data analysis.

[0016] The statistical analysis module is used to conduct statistical analysis on ground and high-altitude meteorological elements, including the average, cumulative, extreme and random statistics of air pressure, temperature, relative humidity, wind direction, wind speed, cloud, visibility and precipitation elements over the years and cumulatively;

[0017] The comprehensive query display module is equipped with a data query and retrieval mechanism, which establishes a data product retrieval and browsing mechanism based on the random combination of time and space conditions, element combinations, element physical space attributes, regions, and data sources, enabling users to query data using a combination of multiple conditions.

[0018] Furthermore, the workflow of the climate background assessment subsystem for key target areas includes:

[0019] T1. Collect historical ground-based high-altitude observation data, reanalysis data, satellite cloud images and other long-sequence historical data and import them into MORISS to provide a basic data source for the system;

[0020] T2. Lock the target area data by regional screening and generate the target area climate data set;

[0021] T3. Statistically analyze the average values, extreme values, frequency of occurrence of important weather phenomena, spatiotemporal distribution, and climate variability of various ground-based high-altitude climate and hydrological elements.

[0022] Furthermore, the key target area climate background assessment subsystem includes a target area climate data compilation module, a cloud cover diagnosis and analysis module, a target area climate diagnosis and analysis assessment module, a target area dangerous weather climate analysis module, and a special service report generation module;

[0023] The target area climate data compilation module decodes different types of meteorological data through a plug-in framework, performs quality control, duplicate elimination, fusion processing, statistical analysis, and finally compiles it into a standardized data set;

[0024] The cloud amount diagnosis and analysis module uses the LAPS mode to pre-process and fuse the site observations, satellite cloud images, and reanalysis data to obtain three-dimensional cloud amount fields, cloud classifications, cloud water content, cloud ice content, and rain products, and conduct cloud statistical analysis.

[0025] The target area climate diagnosis analysis and evaluation module uses wavelet theory, interannual and interdecadal change trend analysis models, spatiotemporal change characteristic analysis models and correlation analysis models to analyze the periodicity, interannual and interdecadal change trends, spatiotemporal change characteristics and correlation of the meteorological elements in the target area, so as to reveal the regularity, development trend and mutual relationship of each element;

[0026] The target area dangerous weather climate analysis module conducts statistical analysis on the occurrence frequency, date and intensity characteristics of dangerous weather phenomena such as thunderstorms, gale and cold wave in the target area to obtain their seasonal, monthly and time distribution patterns and intensity characteristics;

[0027] The special service report generation module is used to provide users with customized meteorological element statistical special reports and statistical analysis table generation services.

[0028] Furthermore, when the climate diagnostic analysis and evaluation module of the target area performs climate characteristic analysis, a multi-dimensional climate characteristic analysis method is added, including:

[0029] ; Where W_climate is the result of climate characteristic analysis, a is the time window size, b is the time displacement parameter, t is the time variable, t 0 is the reference time point, τ is the time weight coefficient, ε is the Gaussian window width, x(t) is the original time series, ψ is the wavelet basis function, x i is the periodic adjustment coefficient, ω i is the angular frequency of the ith periodic component, and p is the number of periodic components considered.

[0030] Furthermore, a comprehensive risk assessment is added to the dangerous weather climate analysis module in the target area, including:

[0031] ; Among them, R_total is the overall meteorological risk, H i is the probability of occurrence of the i-th dangerous weather, Vi is the i Vulnerability index of weather type, E i is the exposure degree of the i-th type of weather, F iis the i-th type of geographical environment influencing factor, M j is the jth secondary disaster impact factor, k i is the risk type weight of the i-th category, α i is the probability adjustment index of the i-th category, β i is the i-th type vulnerability impact coefficient, γ i is the exposure adjustment parameter of the i-th type, ζ is the comprehensive impact coefficient of secondary disasters, q is the number of dangerous weather types considered, and s is the number of secondary disaster factors.

[0032] Furthermore, an electronic device includes a processor and a memory that is communicatively connected to the processor and is used to store executable instructions for the processor, and the processor is used to execute the meteorological and hydrological background data analysis, compilation and query system.

[0033] Furthermore, a server includes at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor so that the at least one processor executes the meteorological and hydrological background data analysis, compilation and query system.

[0034] Furthermore, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the meteorological and hydrological background data analysis, compilation and query system is implemented.

[0035] Compared with the prior art, the meteorological and hydrological background data analysis, compilation and query system of the present invention has the following beneficial effects:

[0036] (1) The launch site climate data compilation module of the present invention adopts a plug-in multi-level extensible framework, so that the system can process different types of meteorological data more flexibly and improve the decoding, quality control, duplication elimination and standardization capabilities of complex meteorological data;

[0037] (2) The target area climate diagnosis analysis and evaluation module of the present invention introduces wavelet theory, interannual and interdecadal change trend analysis models, spatiotemporal change feature analysis models, and correlation analysis models. These models can more comprehensively reveal the periodicity, change trends, and interrelationships of meteorological elements, thereby expanding the depth and breadth of statistical analysis.

[0038] (3) The cloud amount diagnosis and analysis module described in the present invention uses the LAPS mode to pre-process and fuse the site observations, satellite cloud images, and reanalysis data. The resulting cloud amount field, cloud classification, cloud water content and other products are more accurate, thereby improving the accuracy of cloud amount diagnosis and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0040] Figure 1 A schematic diagram of the meteorological and hydrological background data analysis, compilation and query system architecture according to an embodiment of the present invention;

[0041] Figure 2 This is a schematic diagram of the workflow of the important space launch site climate data query and analysis subsystem according to an embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of the workflow of the climate background assessment subsystem for key target areas according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0044] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0045] The meteorological and hydrological background data analysis, compilation and query system includes the climate data query and analysis subsystem for important space launch sites and the climate background assessment subsystem for key target areas, such as Figure 1 As shown, the meteorological and hydrological background data are displayed through the important space launch site climate data query and analysis subsystem, and the key target area climate background assessment subsystem is used to output the average and extreme values ​​of various climate and hydrological elements of major launch sites and important target areas, the frequency of occurrence of important weather phenomena, and the distribution pattern of climate background characteristics.

[0046] Specifically, the climate data query and analysis subsystem of important space launch sites collects ground site observations and high-altitude observation forecasts from the launch site weekly reports to achieve climate statistical analysis and comprehensive display of meteorological elements at different time scales. The climate background assessment subsystem of key target areas collects representative historical ground-based high-altitude observation data from stations near the target area to achieve the statistical analysis function of climate characteristics of common meteorological elements and weather phenomena.

[0047] Specific as Figure 2 As shown, the workflow of the important space launch site climate data query and analysis subsystem includes:

[0048] S1. Standardize the basic meteorological and hydrological historical long-sequence data and the launch site's own historical meteorological and hydrological detection data;

[0049] S2. Calculate the average value, extreme value and frequency of occurrence of important weather phenomena of various elements of ground and high altitude climate and hydrology;

[0050] S3. Statistical distribution of meteorological elements such as clouds, precipitation, and air wind fields that have important impacts on space launches;

[0051] S4. Build a flexible query and display system based on elements, statistical types, and site areas to display analysis results.

[0052] Furthermore, the climate data query and analysis subsystem of important space launch sites includes a launch site climate data compilation module, a statistical analysis module, and a comprehensive query and display module; the launch site climate data compilation module decodes different types of meteorological data inside and outside the launch site by adopting a plug-in multi-level extensible framework, and performs quality control, deduplication and standardization processing, and then uses LAPS fusion technology to realize real-time fusion analysis of multi-source observation data, and finally outputs standardized, high-temporal and high-space resolution data sets to support business development and data analysis; the statistical analysis module is used to perform statistical analysis on ground and high-altitude meteorological elements, including the average, cumulative, extreme values ​​and random statistics of air pressure, temperature, relative humidity, wind direction, wind speed, clouds, visibility, and precipitation elements over the years and accumulated years; the comprehensive query and display module is equipped with a data query and retrieval mechanism, which establishes a data product retrieval and browsing mechanism under the conditions of temporal and spatial conditions, element combinations, element physical space attributes, regions, and random combinations of data sources, so that users can query data using a combination of multiple conditions.

[0053] Specific as Figure 3 As shown, the workflow of the key target area climate background assessment subsystem includes:

[0054] T1. Collect historical ground-based high-altitude observation data, reanalysis data, satellite cloud images and other long-sequence historical data and import them into MORISS to provide a basic data source for the system;

[0055] T2. Lock the target area data by regional screening and generate the target area climate data set;

[0056] T3. Statistically analyze the average values, extreme values, frequency of occurrence of important weather phenomena, spatiotemporal distribution, and climate variability of various ground-based high-altitude climate and hydrological elements.

[0057] Furthermore, the climate background assessment subsystem for the key target area includes a target area climate data compilation module, a cloud cover diagnosis and analysis module, a target area climate diagnosis and analysis assessment module, a target area dangerous weather climate analysis module, and a special service report generation module; the target area climate data compilation module decodes different types of meteorological data through a plug-in framework, performs quality control, duplicate removal, fusion processing, statistical analysis, and finally compiles it into a standardized data set; the cloud cover diagnosis and analysis module uses the LAPS mode to pre-process and fuse diagnosis of site observations, satellite cloud images, and reanalysis data to obtain three-dimensional cloud cover fields, cloud classifications, cloud water content, and cloud ice content. , rainfall products, and cloud statistical analysis; the target area climate diagnosis analysis and evaluation module uses wavelet theory, interannual and interdecadal change trend analysis models, spatiotemporal change characteristic analysis models, and correlation analysis models to conduct periodic, interannual and interdecadal change trend, spatiotemporal change characteristics, and correlation analysis on the meteorological elements in the target area, so as to reveal the regularity, development trend, and mutual relationship of each element; the target area dangerous weather climate analysis module conducts statistical analysis on the frequency, date, and intensity characteristics of dangerous weather phenomena such as thunderstorms, gales, cold waves, etc. in the target area, so as to derive their seasonal, monthly, and time distribution patterns and intensity characteristics.

[0058] The special service report generation module is used to provide users with customized meteorological element statistical special reports and statistical analysis table generation services.

[0059] Furthermore, when the climate diagnostic analysis and evaluation module of the target area performs climate characteristic analysis, a multi-dimensional climate characteristic analysis method is added, including:

[0060] ; Where W_climate is the result of climate characteristic analysis, a is the time window size, b is the time displacement parameter, t is the time variable, t 0 is the reference time point, τ is the time weight coefficient, ε is the Gaussian window width, x(t) is the original time series, ψ is the wavelet basis function, x i is the periodic adjustment coefficient, ω i is the angular frequency of the ith periodic component, and p is the number of periodic components considered.

[0061] Furthermore, a comprehensive risk assessment is added to the dangerous weather climate analysis module in the target area, including:

[0062] ; Among them, R_total is the overall meteorological risk, H i is the probability of occurrence of the i-th dangerous weather, Vi is the i Vulnerability index of weather type, E i is the exposure degree of the i-th type of weather, F i is the i-th type of geographical environment influencing factor, M jis the jth secondary disaster impact factor, k i is the risk type weight of the i-th category, α i is the probability adjustment index of the i-th category, β i is the i-th type vulnerability impact coefficient, γ i is the exposure adjustment parameter of the i-th type, ζ is the comprehensive impact coefficient of secondary disasters, q is the number of dangerous weather types considered, and s is the number of secondary disaster factors.

[0063] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0064] In the several embodiments provided in the present application, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the division of the units described above is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. The above-mentioned units may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. Meteorological and hydrological background data analysis, compilation and query system, characterized by: It includes the climate data query and analysis subsystem for important space launch sites and the climate background assessment subsystem for key target areas. The climate data query and analysis subsystem for important space launch sites displays the meteorological and hydrological background data. The climate background assessment subsystem for key target areas outputs the average and extreme values ​​of the climate and hydrological elements of the main launch sites and key target areas, as well as the frequency and distribution of important weather phenomena and climate background characteristics. The climate data query and analysis subsystem of important space launch sites collects ground site observations and high-altitude observation forecasts from the launch site weekly reports, and realizes climate statistical analysis and comprehensive display of meteorological elements at different time scales at the sites; The climate background assessment subsystem for key target areas collects representative historical ground-based high-altitude observation data from stations near the target areas to achieve statistical analysis of climate characteristics of common meteorological elements and weather phenomena. The workflow of the climate background assessment subsystem for key target areas includes: T1. Collect historical ground-based high-altitude observation data, reanalysis data, satellite cloud images and other long-sequence historical data and import them into MORISS to provide a basic data source for the system; T2. Lock the target area data by regional screening and generate the target area climate data set; T3. Statistical analysis of the average values, extreme values, frequency of occurrence of important weather phenomena, temporal and spatial distribution, and climate variability of various elements of ground-high altitude climate and hydrology; The key target area climate background assessment subsystem includes a target area climate data compilation module, a cloud cover diagnosis and analysis module, a target area climate diagnosis and analysis assessment module, a target area dangerous weather climate analysis module, and a special service report generation module; The target area climate data compilation module decodes different types of meteorological data through a plug-in framework, performs quality control, duplicate elimination, fusion processing, statistical analysis, and finally compiles it into a standardized data set; The cloud amount diagnosis and analysis module uses the LAPS mode to pre-process and fuse the site observations, satellite cloud images, and reanalysis data to obtain three-dimensional cloud amount fields, cloud classifications, cloud water content, cloud ice content, and rain products, and conduct cloud statistical analysis. The target area climate diagnosis analysis and evaluation module uses wavelet theory, interannual and interdecadal change trend analysis models, spatiotemporal change characteristic analysis models and correlation analysis models to analyze the periodicity, interannual and interdecadal change trends, spatiotemporal change characteristics and correlation of the meteorological elements in the target area, so as to reveal the regularity, development trend and mutual relationship of each element; The target area dangerous weather climate analysis module conducts statistical analysis on the occurrence frequency, date and intensity characteristics of dangerous weather phenomena such as thunderstorms, gale and cold wave in the target area to obtain their seasonal, monthly and time distribution patterns and intensity characteristics; The special service report generation module is used to provide users with customized meteorological element statistical special reports and statistical analysis table generation services; When the target area climate diagnosis analysis and evaluation module conducts climate characteristic analysis, a multi-dimensional climate characteristic analysis method is added, including: Among them, W_climate is the result of climate characteristic analysis, a is the time window size, b is the time displacement parameter, t is the time variable, t0 is the reference time point, τ is the time weight coefficient, ε is the Gaussian window width, x(t) is the original time series, ψ is the wavelet basis function, x i is the periodic adjustment coefficient, ω i is the angular frequency of the i-th periodic component, and p is the number of periodic components considered; In the target area hazardous weather climate analysis module, a comprehensive risk assessment is added, including: Among them, R_total is the overall meteorological risk, H i is the probability of occurrence of the i-th type of dangerous weather, V i is the vulnerability index of the i-th type of weather, E i is the exposure degree of the i-th type of weather, F i is the i-th type of geographical environment influencing factor, M j is the jth secondary disaster impact factor, k i is the risk type weight of the i-th category, α i is the probability adjustment index of the i-th category, β i is the i-th type vulnerability impact coefficient, γ i is the exposure adjustment parameter of the i-th type, ζ is the comprehensive impact coefficient of secondary disasters, q is the number of dangerous weather types considered, and s is the number of secondary disaster factors.

2. The meteorological and hydrological background data analysis, compilation and query system according to claim 1 is characterized by: The workflow of the important space launch site climate data query and analysis subsystem includes: S1. Standardize the basic meteorological and hydrological historical long-sequence data and the launch site's own historical meteorological and hydrological detection data; S2. Calculate the average value, extreme value and frequency of occurrence of important weather phenomena of various elements of ground and high altitude climate and hydrology; S3. Statistical distribution of meteorological elements such as clouds, precipitation, and air wind fields that have important impacts on space launches; S4. Build a flexible query and display system based on elements, statistical types, and site areas to display analysis results.

3. The meteorological and hydrological background data analysis, compilation and query system according to claim 2 is characterized by: The important space launch site climate data query and analysis subsystem includes a launch site climate data compilation module, a statistical analysis module, and a comprehensive query and display module; The launch site climate data compilation module uses a plug-in multi-level extensible framework to decode different types of meteorological data inside and outside the launch site, and perform quality control, duplicate removal and standardization. It then uses LAPS fusion technology to achieve real-time fusion analysis of multi-source observation data, and finally outputs standardized, high-temporal and high-resolution data sets to support business development and data analysis. The statistical analysis module is used to conduct statistical analysis on ground and high-altitude meteorological elements, including the average, cumulative, extreme and random statistics of air pressure, temperature, relative humidity, wind direction, wind speed, cloud, visibility and precipitation elements over the years and cumulatively; The comprehensive query display module is equipped with a data query and retrieval mechanism, which establishes a data product retrieval and browsing mechanism based on the random combination of time and space conditions, element combinations, element physical space attributes, regions, and data sources, enabling users to query data using a combination of multiple conditions.

4. An electronic device, comprising a processor and a memory connected to the processor for storing instructions executable by the processor, characterized in that: The processor is used to execute the meteorological and hydrological background data analysis, compilation and query system described in any one of claims 1-3 above.

5. A server, characterized in that: It includes at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor so that the at least one processor executes the meteorological and hydrological background data analysis, compilation and query system as described in any one of claims 1-3.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the meteorological and hydrological background data analysis, compilation and query system described in any one of claims 1 to 3 is implemented.

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