Comprehensive spatial scale reference ground meteorological station selection method, device and medium
Through the comprehensive spatial scale method, the selection of reference ground meteorological stations has been solved, and the problem of single selection methods in the existing technology has been achieved, and the effect of more accurate selection and research on the impact of urbanization and background climate in larger spatial areas is achieved.
Patent Information
- Application Number
- CN202510029591.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-08
- Publication Date
- 2025-06-10
AI Technical Summary
The prior art is too single in selecting reference ground meteorological stations to fully and reliably assess urbanization impacts and background climates, especially in the micro-scale to mesoscale spatial range.
Using a comprehensive spatial scale method, a reference ground meteorological station observation network consisting of a reference station with weak urbanization intensity reference stations is formed through data collection, urbanization index selection, urbanization intensity classification and reference station selection.
More accurately selecting reference stations on larger spatial areas can more effectively study urbanization impact deviations and background climate.
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Figure CN120124839A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of climate monitoring, and particularly to a method, device and medium for selecting a reference surface meteorological observatory integrating spatial scales. Background Art
[0002] Most studies on evaluating the urban influence bias in climate records at the regional scale are based on the urban-reference comparison method. Among them, the land use change around the observation station can be used to intuitively reflect the urbanization process, and has good application potential in station classification and reference station selection. However, the previous related research methods mostly use the urban land use change rate as the urbanization index. This method is limited by satellite data which is only applicable for three to four decades, while the data length of ground observation data is much longer than this; at the same time, the previous related research only focuses on the influence of urban land use within a single specific spatial scale. However, within the micro-scale to meso-scale spatial range, urban land use may affect the observed elements. How to define a new and objective urbanization index, and select representative meteorological observatories within a certain spatial area for studying the urbanization influence bias or background climate has become an urgent task and a basic guarantee for obtaining reliable analysis conclusions. Summary of the Invention
[0003] The purpose of the present invention is to provide a method, device and medium for selecting a reference surface meteorological observatory integrating spatial scales, so as to solve the technical problems such as the existing method of selecting reference stations using urban land use types being relatively single and unable to comprehensively and reliably evaluate.
[0004] A method for selecting a reference surface meteorological observatory integrating spatial scales provided by the present invention includes:
[0005] S101: Data collection; collect data related to the selection of meteorological observatories;
[0006] S102: Selection of urbanization index; based on the latest collected data, extract the proportion of urban land within multiple buffer zones around the meteorological observatory, calculate the correlation between the change trend of the surface air temperature of all stations and the proportion of urban land within multiple buffer zones around them, and determine the maximum spatial scale at which urban land affects the observed elements of the station;
[0007] S103: Classification of urbanization intensity; based on the distance-weighted average value of the proportion of urban land within the largest buffer zone around the surface meteorological observatory, divide all stations into different urbanization intensity types;
[0008] S104: Selection of reference stations; select meteorological observatories that meet the preset conditions as alternative reference stations from the stations with the weakest urbanization intensity, and finally detect and correct the inhomogeneity of the station data;
[0009] S105: Establishment with reference to the ground station observation network; divide a certain area into grids with a spatial resolution of n° * n°, stipulate the altitude difference between the alternative reference stations and other stations within the grid, and finally form a reference ground meteorological station observation network composed of lower and low urbanization intensity reference stations.
[0010] A storage medium stores instructions and data for implementing a method for selecting reference ground meteorological stations with a comprehensive spatial scale.
[0011] A device for selecting reference ground meteorological stations with a comprehensive spatial scale includes: a processor and the storage medium; the processor loads and executes the instructions and data in the storage medium for implementing a method for selecting reference ground meteorological stations with a comprehensive spatial scale.
[0012] The beneficial effects provided by the present invention are as follows: The present invention evaluates the selection of meteorological stations using a comprehensive spatial scale. Among them, the urbanization index selects the proportion of urban land use in the micro-scale to meso-scale spatial range, which is conducive to more accurately selecting reference stations in a larger spatial area for the study of urbanization impact deviation or background climate. Description of the Drawings
[0013] Figure 1 is a schematic diagram of the method flow of the present invention;
[0014] Figure 2 is a schematic diagram of the operation of the hardware device of the present invention. Detailed Embodiments
[0015] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the drawings.
[0016] Before formally elaborating on the present invention, the solution of the present invention will be generally described first for easy understanding.
[0017] Please refer to Figure 1 , Figure 1 is a schematic diagram of the method flow of the present invention.
[0018] The present invention provides a method for selecting reference ground meteorological stations with a comprehensive spatial scale, including:
[0019] S101: Data collection; collect data related to the selection of meteorological stations;
[0020] As an embodiment, in step S101, the data related to the selection of meteorological stations includes: basic information, historical evolution data, and temperature observation data of ground meteorological stations in a certain area; satellite remote sensing visible light land use and coverage data and Google Earth remote sensing image data near the ground meteorological stations.
[0021] S102: Selection of urbanization indicators; Based on the latest collected data, extract the proportion of urban land in multiple buffer zones around meteorological stations, calculate the correlation between the change trend of surface air temperature at all stations and the proportion of urban land in multiple surrounding buffer zones, and determine the maximum spatial scale of the impact of urban land on the observed elements of the stations;
[0022] As an embodiment, in step S102, the calculation method of the proportion of urban land in the buffer zone is as follows:
[0023] P(r) = N u (r) / N a (r)
[0024] In the formula, P(r) is the proportion of urban land in the buffer zone with a radius of r km, N a is the total number of grids of all land use types in the buffer zone, N u is the total number of grids of urban land use type.
[0025] In step S102, the calculation method of the correlation between the change trend of surface air temperature at all stations and the proportion of urban land in multiple surrounding buffer zones is as follows:
[0026]
[0027] In the formula, Corrl is the correlation coefficient, SAT is the linear trend of surface air temperature, P is the proportion of urban land in a certain buffer zone, and Cov and Var are the covariance and variance respectively.
[0028] In addition, it should be noted that the rule for determining the maximum spatial scale is as follows: Based on the existing research conclusions, the present invention first assumes that there is a positive correlation between the urban land around the station and the surface air temperature. Therefore, the correlation coefficient first increases with the increase of the radius of the buffer zone, decays after reaching the peak, and when it increases again, the previous buffer zone is determined as the maximum spatial scale of the impact of urban land around the station on the observed elements. Or, the correlation coefficient may be the peak in the first buffer zone, and then gradually decays. When it increases again, the previous buffer zone is determined as the maximum spatial scale of the impact of urban land around the station on the observed elements.
[0029] S103: Classification of urbanization intensity; Based on the distance-weighted average value of the proportion of urban land in the largest buffer zone around the ground meteorological station, all stations are divided into different urbanization intensity types;
[0030] It should be noted that in step S103, the calculation method of the distance-weighted average value is as follows:
[0031]
[0032] Where AP is the distance weighted average, P(r) is the proportion of urban land within the buffer circle with a radius of r km, and c is a constant.
[0033] Different types of urbanization intensity include: strong, medium and weak. The determination principle is: calculate the distance weighted average of the proportion of urban land in the maximum buffer circle of all stations in the region, sort them from small to large to generate a sequence; determine the first 25% of the stations in the sequence as being affected by weak urbanization intensity, the last 25% of the stations as being affected by strong urbanization intensity, and the rest of the stations as being of medium intensity.
[0034] S104: Selection of reference stations: Select meteorological stations that meet the preset conditions from the stations with the weakest urbanization intensity as candidate reference stations, and finally detect and correct the inhomogeneity of their station data;
[0035] As an embodiment, in step S104 of the present invention, the meteorological station that meets the preset conditions specifically refers to: the data sequence length exceeds the preset value, the time continuity exceeds the preset value, the number of station relocations is less than the preset value, and it is in an open environment or an artificial vegetation area. The open environment specifically refers to an environment with a wide spatial range, no obstacles, and a wide field of vision. This environment is characterized by a large area, a wide spatial range, and no obstructions from buildings, trees or other obstacles, so that the field of vision can be extended and a longer distance can be seen.
[0036] S105: Establishment of a reference ground station observation network; divide a certain area into grids with a spatial resolution of n°*n°, specify the altitude difference between the alternative reference station and other stations in the grid, and finally form a reference ground meteorological station observation network composed of weak urbanization intensity reference stations.
[0037] See also Figure 2 , Figure 2 4 is a schematic diagram of the working of the hardware device of an embodiment of the present invention, and the hardware device specifically includes: a selection device 401 for comprehensive spatial scale reference ground meteorological stations, a processor 402 and a storage medium 403.
[0038] A selection device 401 for a comprehensive spatial scale reference ground meteorological station: The selection device 401 for a comprehensive spatial scale reference ground meteorological station implements the selection method for a comprehensive spatial scale reference ground meteorological station.
[0039] Processor 402: The processor 402 loads and executes the instructions and data in the storage medium 403 to implement the method for selecting a comprehensive spatial scale reference ground meteorological station.
[0040] Storage medium 403: The storage medium 403 stores instructions and data; the storage medium 403 is used to implement the method for selecting reference meteorological stations of a comprehensive spatial scale with reference to ground meteorological observatories.
[0041] The beneficial effects of the present invention are as follows: The present invention is conducive to more accurately selecting reference stations in a larger spatial area for the study of urbanization impact deviation or background climate.
[0042] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for selecting reference ground meteorological stations at a comprehensive spatial scale, characterized by: include: S101: Data collection; Collect relevant data from meteorological stations; S102: Selection of urbanization indicators; Based on the latest collected data, the proportion of urban land in multiple buffer circles around meteorological stations is extracted, the correlation between the surface temperature change trend of all stations and the proportion of urban land in multiple buffer circles around them is calculated, and the maximum spatial scale at which urban land affects the observation elements of the stations is determined; S103: Classification of urbanization intensity: Based on the distance-weighted average of the proportion of urban land in the largest buffer zone around the ground meteorological station, all stations are divided into different urbanization intensity types; S104: Selection of reference stations; Among the stations least affected by urbanization, the meteorological stations that meet the preset conditions are selected as candidate reference stations, and finally the heterogeneity of their station data is detected and corrected; S105: Establishment of a reference ground station observation network; divide a certain area into grids with a spatial resolution of n°*n°, specify the altitude difference between the alternative reference station and other stations in the grid, and finally form a reference ground meteorological station observation network composed of weak urbanization intensity reference stations.
2. The method for selecting a comprehensive spatial scale reference ground meteorological station according to claim 1, characterized in that: In step S101, the meteorological station selects relevant data including: basic information, historical evolution data and temperature observation data of ground meteorological stations in a certain area; satellite remote sensing visible light land use coverage data of ground meteorological stations and their vicinity, and Google Earth remote sensing image data.
3. The method for selecting a comprehensive spatial scale reference ground meteorological station according to claim 2, characterized in that: In step S102, the calculation method of the proportion of urban land in the buffer zone is as follows: P(r)=N u (r) / N a (r) Where P(r) is the proportion of urban land within the buffer zone with a radius of r km, N a is the total number of grids of all land use types within the buffer zone, N u The total number of grids of urban land use type.
4. The method for selecting a comprehensive spatial scale reference ground meteorological station according to claim 2, characterized in that: In step S102, the calculation method of the correlation between the surface air temperature change trend of all stations and the proportion of urban land in the surrounding multiple buffer circles is as follows: Where Corrl is the correlation coefficient, SAT is the linear trend of surface air temperature, P is the proportion of urban land in a buffer zone, Cov and Var are covariance and variance, respectively.
5. The method for selecting a comprehensive spatial scale reference ground meteorological station according to claim 4, characterized in that: In step S103, the distance weighted average value is calculated as follows: Where AP is the distance weighted average, P(r) is the proportion of urban land within the buffer circle with a radius of r km, and c is a constant.
6. A method for selecting a comprehensive spatial scale reference ground meteorological station according to claim 5, characterized in that: In step S104, the meteorological stations that meet the preset conditions specifically refer to: the data sequence length exceeds the preset value, the time continuity exceeds the preset value, the number of station relocations is lower than the preset value, and the meteorological stations are located in an open environment or an artificial vegetation area.
7. A storage medium, characterized in that: The storage medium stores instructions and data for implementing a method for selecting a comprehensive spatial scale reference ground meteorological station as described in any one of claims 1 to 6.
8. A device for selecting reference ground meteorological stations at a comprehensive spatial scale, characterized by: include: Processor and storage medium; the processor loads and executes instructions and data in the storage medium to implement a method for selecting a comprehensive spatial scale reference ground meteorological station as described in any one of claims 1 to 6.