Method, processor and apparatus for determining weather indices under the cumulative effect of air temperature
Patent Information
- Application Number
- CN202311692925.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-11
- Publication Date
- 2026-11-03
- Estimated Expiration
- 2043-12-11
AI Technical Summary
Existing meteorological forecasting methods fail to effectively consider the cumulative effect of temperature, resulting in insufficient accuracy in meteorological forecasts, especially during periods of continuous sunny and hot weather.
By acquiring historical and forecast meteorological indicators, normalized temperature indicators and meteorological indicator coefficients are calculated, and meteorological cumulative coefficients are used to determine meteorological indicators, taking into account the cumulative effect of multi-day meteorological data.
It has improved the accuracy of weather forecasts, especially during periods of continuous sunny, hot weather, and enhanced the comprehensive analytical capabilities of meteorological indicators.
Smart Images

Figure CN117572536B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of meteorological forecasting technology, and more specifically to a method, processor, and apparatus for determining meteorological indicators under the cumulative effect of temperature. Background Technology
[0002] In recent years, summer temperatures have repeatedly broken records. Studies have shown that temperature is not only related to the meteorological indicators of the day, but also to the meteorological indicators of the next few days. In particular, the temperature increases significantly when there is a continuous period of sunny and hot weather. Therefore, in order to improve the accuracy of weather forecasting, a method for calculating forecast meteorological indicators that takes into account the cumulative effect is needed, which can comprehensively consider the meteorological indicators of the day and the next few days. Summary of the Invention
[0003] The purpose of this application is to provide a method, processor, and apparatus for determining meteorological indicators under the cumulative effect of temperature.
[0004] To achieve the above objectives, the first aspect of this application provides a method for determining meteorological indicators under the cumulative effect of temperature, applied to meteorological data within a preset area, the method comprising: Obtain historical meteorological indicators for each day within a preset historical time period from the target time period, as well as predicted meteorological indicators for the target time period and a preset future time period from the target time period. The meteorological indicators include temperature, precipitation, humidity, and wind speed. For each day within a preset historical time period, the historical normalized temperature index for each hour of that day is determined based on the historical meteorological index for each hour of that day. For the target time period and the future time period that is far from the target time period, the predicted normalized temperature index for each hour of the day is determined based on the predicted meteorological index for each hour of the day. For each day within a preset historical time period, the target time period, and the future time period from the target time period, the meteorological index coefficients for that day are determined based on the historical meteorological indexes, forecast meteorological indexes, historical normalized temperature indexes, or forecast normalized temperature indexes for that day. The cumulative meteorological coefficient for the future time period is determined based on the meteorological index coefficients for each day within the preset historical time period, the target time period, and the future time period from the target time period. The meteorological indicators under the cumulative temperature effect of the preset future time period are determined based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period.
[0005] In this embodiment of the application, determining the historical comprehensive temperature index for each day within a preset historical time period, based on the historical temperature data of each hour of that day, includes: For each day within a preset historical time period, the historical comprehensive temperature index for each hour is determined using formula (1) based on the historical meteorological index for that day: Formula (1)
[0006] Where i represents the number of days in the historical time period, j represents the time of the day, and j=1,2,3……23,24. This represents the historical comprehensive temperature index for the j-th hour of day i. The historical temperature value for the j-th hour of day i. This represents the historical humidity value for the j-th hour of day i. The historical wind speed value for the i-th day and j-th hour;
[0007] For each day within a preset historical time period, determine the maximum and minimum historical comprehensive temperature index for that day. For each day within a preset historical time period, the historical normalized temperature index for each hour of the day is determined based on the maximum historical comprehensive temperature index, the minimum historical comprehensive temperature index, the historical comprehensive temperature index for each hour of the day, and formula (2): Formula (2)
[0008] Where i is the number of days in the corresponding historical time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the historical normalized temperature index of the i-th day and j-th hour, This represents the historical comprehensive temperature index for the i-th day and j-th hour.
[0009] In this embodiment of the application, the predicted normalized temperature index for each hour of the day is determined based on the predicted meteorological index for each hour of the day, for a target time period and a future time period preset from the target time period. For the target time period and the future time period preset from the target time period, the predicted comprehensive temperature index for each hour of the day is determined by formula (1) based on the predicted meteorological index for each hour of the day: Formula (1)
[0010] Where i represents the target time period or the number of days until the target time period is preset in the future, and j represents the hour of the day, j=1,2,3……23,24. The predicted comprehensive temperature index for the i-th day and j-th hour. This represents the predicted temperature value for the j-th hour of the i-th day. This represents the predicted humidity value for the j-th hour of the i-th day. The predicted wind speed value for the j-th hour of the i-th day;
[0011] For the target time period and the future time period that is far from the target time period, determine the maximum and minimum predicted comprehensive temperature index for the day. For the target time period and the future time period preset from the target time period, the predicted normalized temperature index for each hour of the day is determined based on the maximum predicted comprehensive temperature index, the minimum predicted comprehensive temperature index, the predicted comprehensive temperature index for each hour of the day, and formula (2): Formula (2)
[0012] Where i is the target time period or the number of days from the target time period to a preset future time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the predicted normalized temperature index of the i-th day and j-th hour, The predicted comprehensive temperature index is for the i-th day and j-th hour.
[0013] In this embodiment, the meteorological index coefficients include a high temperature coefficient, a precipitation coefficient, and a temperature duration coefficient. For each day within a preset historical time period, a target time period, and a preset future time period from the target time period, the meteorological index coefficients for that day are determined based on the day's historical meteorological indexes, predicted meteorological indexes, historical normalized temperature indexes, or predicted normalized temperature indexes, including: For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the high temperature coefficient for that day is determined according to formula (3). :
[0014] Formula (3)
[0015] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted temperature value for the j-th hour of day k.
[0016] For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the precipitation coefficient for that day is determined according to formula (4). :
[0017] Formula (4)
[0018] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted precipitation for the j-th hour on day k.
[0019] For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the temperature continuity coefficient for that day is determined according to formula (5). :
[0020] Formula (5)
[0021] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This refers to the historical or predicted normalized temperature index for the k-th hour.
[0022] In this embodiment of the application, the method further includes: determining the comprehensive temperature coefficient of the day based on the high temperature coefficient, precipitation coefficient, and temperature continuity coefficient of the day using formula (6), for each day within a preset historical time period, the target time period, and the preset future time period from the target time period. :
[0023] Formula (6)
[0024] Where k is the number of days in the current day. This represents the high temperature coefficient for that day. This represents the precipitation coefficient for that day. This represents the temperature duration coefficient for the day.
[0025] In this embodiment of the application, determining the cumulative meteorological coefficient for the preset future time period based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period includes: determining the cumulative meteorological coefficient for the preset future time period from the target time period using formula (7) based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period. :
[0026] Formula (7)
[0027] in, D1 represents the day furthest from the target time period within the preset historical time period, and D2 represents the number of other days besides the day furthest from the target time period within the preset historical time period. Let be the comprehensive temperature coefficient for day k.
[0028] In this embodiment of the application, determining the meteorological index under the temperature accumulation effect of the preset future time period from the target time period based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period includes: determining the meteorological index under the temperature accumulation effect of the preset future time period from the target time period using formula (8) based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period. :
[0029] Formula (8)
[0030] Where j is the time of the day, j=1,2,3……23,24, Preset the cumulative meteorological coefficient for future time periods to be relative to the target time period. A comprehensive temperature index is preset for the j-th hour of the future time period, which is far from the target time period.
[0031] A second aspect of this application provides a processor configured to perform a method for determining meteorological indicators under the cumulative effect of temperature in any of the above embodiments.
[0032] A third aspect of this application provides an apparatus for determining meteorological indicators under the cumulative effect of temperature, the apparatus comprising: The acquisition module acquires historical meteorological indicators for each day within a preset historical time period from the target time period, as well as predicted meteorological indicators for the target time period and a preset future time period from the target time period. The meteorological indicators include temperature, precipitation, humidity, and wind speed. The normalized index determination module is used to determine the historical normalized temperature index for each hour of the day based on the historical meteorological index for each hour of the day within a preset historical time period; and to determine the predicted normalized temperature index for each hour of the day based on the predicted meteorological index for each hour of the day for a target time period and a future time period preset from the target time period. The meteorological index coefficient determination module is used to determine the meteorological index coefficients for each day within a preset historical time period, the target time period, and the future time period from the target time period, based on the historical meteorological indexes, forecast meteorological indexes, historical normalized temperature indexes, or forecast normalized temperature indexes of the day. The meteorological cumulative coefficient determination module determines the meteorological cumulative coefficient for the preset future time period based on the meteorological index coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period. The meteorological index prediction module determines the meteorological index under the cumulative temperature effect of the preset future time period from the target time period based on the cumulative meteorological coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period.
[0033] A fourth aspect of this application provides a machine-readable storage medium storing instructions for causing a machine to perform a method for determining meteorological indicators under the cumulative effect of temperature according to any one of the foregoing.
[0034] The above technical solution determines the normalized temperature index and meteorological index coefficient for each day by using historical meteorological indexes for each day within a historical time period, the predicted meteorological index for the target time period, and the predicted meteorological index for the future time period preset from the target time period. Then, it determines the cumulative meteorological index for each day by using the normalized temperature index and meteorological index coefficient for each day. Finally, it determines the meteorological index for the future time period preset from the target time period under the cumulative temperature effect by using the cumulative meteorological index for each day in the past.
[0035] Other features and advantages of the embodiments of this application will be described in detail in the following detailed description section. Attached Figure Description
[0036] The accompanying drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the following detailed description to explain the embodiments of this application, but do not constitute a limitation on the embodiments of this application. In the drawings: Figure 1 The illustration shows a flowchart of a method for determining meteorological indicators under the cumulative effect of temperature according to an embodiment of this application; Figure 2 The illustration shows a schematic diagram of a device structure for determining meteorological indicators under the cumulative effect of temperature according to an embodiment of this application; Figure 3 The diagram illustrates the internal structure of a computer device according to an embodiment of this application. Detailed Implementation
[0037] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.
[0038] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.
[0039] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.
[0040] Figure 1 The illustration schematically shows a flowchart of a method for determining meteorological indicators under the cumulative effect of temperature according to an embodiment of this application. Figure 1 As shown in the embodiments of this application, a method for determining meteorological indicators under the cumulative effect of temperature is provided, which may include the following steps.
[0041] Step 101: Obtain historical meteorological indicators for each day within a preset historical time period from the target time period, as well as predicted meteorological indicators for the target time period and a preset future time period from the target time period. The meteorological indicators include temperature, precipitation, humidity, and wind speed. Step 102: For each day within a preset historical time period, determine the historical normalized temperature index for each hour of the day based on the historical meteorological index for that day. Step 103: For the target time period and the future time period that is far from the target time period, determine the predicted normalized temperature index for each hour of the day based on the predicted meteorological index for each hour of the day. The processor can acquire historical meteorological indicators for each day within a preset historical time period relative to the target time period, predicted meteorological indicators for the target time period, and predicted meteorological indicators for a preset future time period relative to the target time period. These meteorological indicators may include temperature, precipitation, humidity, and wind speed. For each day within the preset historical time period, the processor can determine the historical normalized temperature index for each hour based on the historical meteorological indicators for that day. Similarly, for the target time period and the preset future time period relative to the target time period, the processor can determine the predicted normalized temperature index for each hour based on the predicted meteorological indicators for that day. For example, assuming the processor sets the preset historical time period to the past 5 days and sets the target time period to today, the processor can acquire the historical meteorological indicators for each day of the past 5 days, today's predicted meteorological indicators, and the predicted meteorological indicators for the preset future time period relative to the target time period. For instance, assuming today (the target time period) is day D, and the preset future time period relative to the target time period is the first day of the future, the processor can acquire the historical meteorological indicators for each day from day D-5 to day D-1, and the predicted meteorological indicators for day D and day D+1. For days D-5 to D-1, the processor can determine the historical normalized temperature index for each hour based on the historical meteorological index for each hour. For days D and D+1, the processor can determine the predicted normalized temperature index for each hour based on the predicted meteorological index for each hour.
[0042] In one embodiment, determining the historical comprehensive temperature index for each day within a preset historical time period based on the historical temperature data of each hour of that day includes: determining the historical comprehensive temperature index for each hour of that day using formula (1) based on the historical meteorological index of each hour of that day within the preset historical time period. Formula (1)
[0043] Where i represents the number of days in the historical time period, j represents the time of the day, and j=1,2,3……23,24. This represents the historical comprehensive temperature index for the j-th hour of day i. The historical temperature value for the j-th hour of day i. This represents the historical humidity value for the j-th hour of day i. The historical wind speed value for the i-th day and j-th hour;
[0044] For each day within a preset historical time period, determine the maximum and minimum historical comprehensive temperature index for that day; for each day within a preset historical time period, determine the historical normalized temperature index for each hour of that day based on the maximum and minimum historical comprehensive temperature index, the historical comprehensive temperature index for each hour of that day, and formula (2): Formula (2)
[0045] Where i is the number of days in the corresponding historical time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the historical normalized temperature index of the i-th day and j-th hour, This represents the historical comprehensive temperature index for the i-th day and j-th hour.
[0046] For each day within a preset historical time period, the processor can determine the historical comprehensive temperature index for each hour of the day using formula (1) based on the historical meteorological index for each hour of the day. This allows the processor to determine the maximum and minimum historical comprehensive temperature indices for each day. Then, based on the maximum and minimum historical comprehensive temperature indices for each day, the hourly historical comprehensive temperature indices, and formula (2), the processor can determine the normalized historical temperature index for each hour of the day. For example, for each day from day D-5 to day D-1, the processor can determine the hourly historical comprehensive temperature index for each day using formula (1). Taking day D-5 as an example, the processor can determine the historical comprehensive temperature index for each hour of that day. This allows the processor to determine the maximum and minimum historical comprehensive temperature indices for day D-5. Based on the maximum and minimum historical comprehensive temperature indices for day D-5, and the hourly historical comprehensive temperature, the processor can determine the normalized historical temperature index for each hour of day D-5 using formula (2).
[0047] In one embodiment, for a target time period and a future time period preset from the target time period, the predicted normalized temperature index for each hour of the day is determined based on the predicted meteorological indicators for each hour of the day, including: for a target time period and a future time period preset from the target time period, the predicted comprehensive temperature index for each hour of the day is determined by formula (1) based on the predicted meteorological indicators for each hour of the day: Formula (1)
[0048] Where i represents the target time period or the number of days until the target time period is preset in the future, and j represents the hour of the day, j=1,2,3……23,24. The predicted comprehensive temperature index for the i-th day and j-th hour. This represents the predicted temperature value for the j-th hour of the i-th day. This represents the predicted humidity value for the j-th hour of the i-th day. The predicted wind speed value for the j-th hour of the i-th day;
[0049] For the target time period and the future time period far from the target time period, determine the maximum and minimum predicted comprehensive temperature index for the day; for the target time period and the future time period far from the target time period, determine the predicted normalized temperature index for each hour of the day based on the maximum and minimum predicted comprehensive temperature index, the predicted comprehensive temperature index for each hour of the day, and formula (2): Formula (2)
[0050] Where i is the target time period or the number of days from the target time period to a preset future time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the predicted normalized temperature index of the i-th day and j-th hour, The predicted comprehensive temperature index is for the i-th day and j-th hour.
[0051] The processor presets future time periods for the target time period and the distance from the target time period. The processor can determine the predicted comprehensive temperature index for each hour of the day based on the predicted meteorological index for each hour of the day using formula (1), thereby determining the maximum and minimum predicted comprehensive temperature index for each day. Then, based on the maximum and minimum predicted comprehensive temperature index for each day, the predicted comprehensive temperature index for each hour of the day, and formula (2), the predicted normalized temperature index for each hour of the day is determined. For example, for day D and day D+1, the predicted comprehensive temperature index for each hour of the day can be determined using formula (1). Taking day D as an example, the processor can determine the predicted comprehensive temperature index for each hour of that day, thereby determining the maximum and minimum predicted comprehensive temperature index for day D. Based on the maximum and minimum predicted comprehensive temperature index for day D and the predicted comprehensive temperature for each hour of day D, the predicted normalized temperature index for each hour of day D is determined using formula (2).
[0052] Step 104: For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, determine the meteorological index coefficient for the day based on the historical meteorological index, the predicted meteorological index, the historical normalized temperature index, or the predicted normalized temperature index.
[0053] The processor, for each day within a preset historical time period, a target time period, and a preset future time period relative to the target time period, can determine the meteorological index coefficients for that day based on historical meteorological indicators, predicted meteorological indicators, historical normalized temperature indicators, or predicted normalized temperature indicators. For example, for days D-5 to D-1 in the past, the processor can determine the meteorological index coefficients for each day based on historical meteorological indicators and / or historical normalized temperature indicators. For day D (the target time period, assumed to be today) and day D+1 (a preset future time period relative to the target time period, assumed to be the first day in the future), the processor can determine the meteorological index coefficients for that day based on predicted meteorological indicators and / or predicted normalized temperature indicators.
[0054] In one embodiment, the meteorological index coefficients include a high temperature coefficient, a precipitation coefficient, and a temperature continuity coefficient. For each day within a preset historical time period, a target time period, and a preset future time period from the target time period, the meteorological index coefficients for that day are determined based on the day's historical meteorological indicators, predicted meteorological indicators, historical normalized temperature indicators, or predicted normalized temperature indicators. For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the high temperature coefficient for that day is determined according to formula (3). :
[0055] Formula (3)
[0056] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted temperature value for the j-th hour of day k.
[0057] For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the precipitation coefficient for that day is determined according to formula (4). :
[0058] Formula (4)
[0059] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted precipitation for the j-th hour on day k.
[0060] For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the temperature continuity coefficient for that day is determined according to formula (5). :
[0061] Formula (5)
[0062] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This refers to the historical or predicted normalized temperature index for the k-th hour.
[0063] Meteorological index coefficients can include high temperature coefficient, precipitation coefficient, and temperature continuity coefficient. For each day within a preset historical time period, the processor can determine the high temperature coefficient of the day based on the historical temperature value of each hour of the day using formula (3). For a target time period and a future time period preset from the target time period, the processor can determine the high temperature coefficient of the day based on the predicted temperature value of each hour of the day using formula (3). For each day within a preset historical time period, the processor can determine the precipitation coefficient of the day based on the historical precipitation of each hour of the day using formula (4). For a target time period and a future time period preset from the target time period, the processor can determine the precipitation coefficient of the day based on the predicted precipitation of each hour of the day using formula (4). For each day within a preset historical time period, the processor can determine the temperature continuity coefficient of the day based on the historical normalized temperature index of each hour of the day using formula (5). For a target time period and a future time period preset from the target time period, the processor can determine the temperature continuity coefficient of the day based on the predicted normalized temperature index of each hour of the day using formula (5).
[0064] Step 105: Determine the cumulative meteorological coefficient for the preset future time period based on the meteorological index coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period.
[0065] After determining the meteorological index coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the processor can determine the cumulative meteorological coefficient for the preset future time period from the target time period based on the meteorological index coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period.
[0066] In one embodiment, the method further includes: determining the comprehensive temperature coefficient of the day based on the high temperature coefficient, precipitation coefficient, and temperature continuity coefficient of the day using formula (6), for each day within a preset historical time period, the target time period, and the future time period from the target time period. :
[0067] Formula (6)
[0068] Where k is the number of days in the current day. This represents the high temperature coefficient for that day. This represents the precipitation coefficient for that day. This represents the temperature duration coefficient for the day.
[0069] For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, after determining the daily high temperature coefficient, precipitation coefficient, and temperature continuity coefficient, the processor can determine the daily comprehensive temperature coefficient using formula (6).
[0070] In one embodiment, determining the cumulative meteorological coefficient for the preset future time period based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period includes: determining the cumulative meteorological coefficient for the preset future time period from the target time period using formula (7) based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period. :
[0071] Formula (7)
[0072] Where D1 is the day furthest from the target time period within the preset historical time period, and D2 is the number of other days besides the day furthest from the target time period within the preset historical time period. Let be the comprehensive temperature coefficient for day k.
[0073] For the day furthest from the target time period within the preset historical time period, the processor can determine the cumulative coefficient for that day based on the comprehensive temperature coefficient of that day. For each day within the preset historical time period, the target time period, and the number of days in the preset future time period from the target time period other than the day furthest from the target time period within the preset historical time period, the processor can determine the cumulative meteorological coefficient for that day based on the comprehensive temperature coefficient of that day and the cumulative meteorological coefficient of the previous day, thereby determining the cumulative meteorological coefficient for the preset future time period from the target time period. For example, assuming that the current day is day D, and the preset historical time period is from day D-1 to day D-5, then for the cumulative meteorological coefficient of day D-5, the processor can determine the cumulative meteorological coefficient based on the comprehensive temperature coefficient of day D-5 using formula (7). Determine the cumulative meteorological coefficient for day D-5. For day D-4, the processor can use formula (7) based on the comprehensive temperature coefficient for day D-4 and the cumulative meteorological coefficient for day D-5. The cumulative meteorological coefficient for day D-4 is determined. Similarly, for days D-1 to D-4, day D, and day D+1, the processor can determine the cumulative meteorological coefficient for the day based on the cumulative meteorological coefficient of the previous day and the comprehensive temperature coefficient of the day, until the cumulative meteorological coefficient for day D+1 (i.e., the future time period from the target time period) is determined.
[0074] Step 106: Determine the meteorological indicators under the temperature accumulation effect for the preset future time period from the target time period based on the meteorological cumulative coefficient and the predicted comprehensive temperature index for the preset future time period from the target time period.
[0075] After determining the meteorological cumulative coefficient for the future time period from the target time period based on the meteorological index coefficients for each day within the preset historical time period, the target time period, and the future time period from the target time period, the processor can determine the meteorological index under the temperature cumulative effect for the future time period from the target time period based on the meteorological cumulative coefficient and the predicted comprehensive temperature index for the future time period from the target time period.
[0076] In one embodiment, determining the cumulative meteorological coefficient for the preset future time period based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period includes: determining the cumulative meteorological coefficient for the preset future time period from the target time period using formula (7) based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period. :
[0077] Formula (8)
[0078] Where j is the time of the day, j=1,2,3……23,24, Preset the cumulative meteorological coefficient for future time periods to be relative to the target time period. A comprehensive temperature index is preset for the j-th hour of the future time period, which is far from the target time period.
[0079] The processor can determine the meteorological index under the cumulative temperature effect for each hour within the preset future time period, based on the meteorological cumulative coefficient for the preset future time period and the predicted comprehensive temperature index for each hour within the preset future time period.
[0080] In one embodiment, a processor is provided, configured to perform any of the foregoing methods for determining meteorological indicators under the cumulative effect of temperature.
[0081] The above technical solution determines the normalized temperature index and meteorological index coefficient for each day by using historical meteorological indexes for each day within a historical time period, the predicted meteorological index for the target time period, and the predicted meteorological index for the future time period preset from the target time period. Then, it determines the cumulative meteorological index for each day by using the normalized temperature index and meteorological index coefficient for each day. Finally, it determines the meteorological index for the future time period preset from the target time period under the cumulative temperature effect by using the cumulative meteorological index for each day in the past.
[0082] like Figure 2 As shown, an apparatus 200 for determining meteorological indicators under the cumulative effect of temperature is schematically illustrated. The apparatus includes: The acquisition module 201 acquires the historical meteorological indicators for each day within a preset historical time period from the target time period, as well as the predicted meteorological indicators for the target time period and the preset future time period from the target time period. The meteorological indicators include temperature, precipitation, humidity, and wind speed. The normalized index determination module 202 is used to determine the historical normalized temperature index for each hour of the day based on the historical meteorological index for each hour of the day within a preset historical time period; and to determine the predicted normalized temperature index for each hour of the day based on the predicted meteorological index for each hour of the day for a target time period and a future time period preset from the target time period. The meteorological index coefficient determination module 203 is used to determine the meteorological index coefficient for each day within a preset historical time period, the target time period, and the future time period from the target time period based on the historical meteorological index, the predicted meteorological index, the historical normalized temperature index, or the predicted normalized temperature index of the day. The meteorological cumulative coefficient determination module 204 determines the meteorological cumulative coefficient for the preset future time period based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period. The meteorological index prediction module 205 determines the meteorological index under the temperature accumulation effect of the preset future time period from the target time period based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period.
[0083] This application also provides a machine-readable storage medium storing instructions for causing a machine to perform the above-described method for determining meteorological indicators under the cumulative effect of temperature.
[0084] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3As shown. The computer device includes a processor A01, a network interface A02, a memory (not shown), and a database (not shown) connected via a system bus. The processor A01 provides computing and control capabilities. The memory includes internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02, and a database (not shown). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 stored in the non-volatile storage medium A04. The database can be used to store meteorological data and other related data. The network interface A02 is used for communication with external terminals via a network connection. When the processor A01 executes the computer program B02, it implements a method for determining meteorological indicators under the cumulative effect of temperature.
[0085] Figure 1 This is a flowchart illustrating a method for determining meteorological indicators under the cumulative effect of temperature in one embodiment. It should be understood that, although... Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Furthermore, Figure 1 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0086] This application provides an apparatus, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: acquiring historical meteorological indicators for each day within a preset historical time period from a target time period, and predicted meteorological indicators for the target time period and a preset future time period from the target time period, wherein the meteorological indicators include temperature, precipitation, humidity, and wind speed; for each day within the preset historical time period, determining the historical normalized temperature index for each hour of that day based on the historical meteorological indicators for that hour; for the target time period and a preset future time period from the target time period, determining the predicted normalized temperature index for each hour of that day based on the predicted meteorological indicators for that hour; for each day within the preset historical time period, the target time period, and the preset future time period from the target time period, determining the meteorological indicator coefficient for that day based on the historical meteorological indicators, predicted meteorological indicators, historical normalized temperature indicators, or predicted normalized temperature indicators for that day; determining the cumulative meteorological coefficient for the preset future time period from the target time period based on the meteorological indicator coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period; and determining the meteorological indicators for the preset future time period from the target time period under the cumulative temperature effect based on the cumulative meteorological coefficient and the predicted comprehensive temperature index for the preset future time period from the target time period.
[0087] In one embodiment, determining the historical comprehensive temperature index for each day within a preset historical time period, based on the historical temperature data from each hour of that day, includes: For each day within a preset historical time period, the historical comprehensive temperature index for each hour is determined using formula (1) based on the historical meteorological index for that day: Formula (1)
[0088] Where i represents the number of days in the historical time period, j represents the time of the day, and j=1,2,3……23,24. This represents the historical comprehensive temperature index for the j-th hour of day i. The historical temperature value for the j-th hour of day i. This represents the historical humidity value for the j-th hour of day i. The historical wind speed value for the i-th day and j-th hour;
[0089] For each day within a preset historical time period, determine the maximum and minimum historical comprehensive temperature index for that day. For each day within a preset historical time period, the historical normalized temperature index for each hour of the day is determined based on the maximum historical comprehensive temperature index, the minimum historical comprehensive temperature index, the historical comprehensive temperature index for each hour of the day, and formula (2): Formula (2)
[0090] Where i is the number of days in the corresponding historical time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the historical normalized temperature index of the i-th day and j-th hour, This represents the historical comprehensive temperature index for the i-th day and j-th hour.
[0091] In one embodiment, for a target time period and a future time period preset from the target time period, the predicted normalized temperature index for each hour of the day is determined based on the predicted meteorological index for each hour of the day, including: For the target time period and the future time period preset from the target time period, the predicted comprehensive temperature index for each hour of the day is determined by formula (1) based on the predicted meteorological index for each hour of the day: Formula (1)
[0092] Where i represents the target time period or the number of days until the target time period is preset in the future, and j represents the hour of the day, j=1,2,3……23,24. The predicted comprehensive temperature index for the i-th day and j-th hour. This represents the predicted temperature value for the j-th hour of the i-th day. This represents the predicted humidity value for the j-th hour of the i-th day. The predicted wind speed value for the j-th hour of the i-th day;
[0093] For the target time period and the future time period that is far from the target time period, determine the maximum and minimum predicted comprehensive temperature index for the day. For the target time period and the future time period preset from the target time period, the predicted normalized temperature index for each hour of the day is determined based on the maximum predicted comprehensive temperature index, the minimum predicted comprehensive temperature index, the predicted comprehensive temperature index for each hour of the day, and formula (2): Formula (2)
[0094] Where i is the target time period or the number of days from the target time period to a preset future time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the predicted normalized temperature index of the i-th day and j-th hour, The predicted comprehensive temperature index is for the i-th day and j-th hour.
[0095] In one embodiment, the meteorological index coefficients include a high temperature coefficient, a precipitation coefficient, and a temperature continuity coefficient. For each day within a preset historical time period, a target time period, and a preset future time period from the target time period, the meteorological index coefficients for that day are determined based on the day's historical meteorological indicators, predicted meteorological indicators, historical normalized temperature indicators, or predicted normalized temperature indicators. For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the high temperature coefficient for that day is determined according to formula (3). :
[0096] Formula (3)
[0097] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted temperature value for the j-th hour of day k.
[0098] For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the precipitation coefficient for that day is determined according to formula (4). :
[0099] Formula (4)
[0100] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted precipitation for the j-th hour on day k.
[0101] For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the temperature continuity coefficient for that day is determined according to formula (5). :
[0102] Formula (5)
[0103] Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This refers to the historical or predicted normalized temperature index for the k-th hour.
[0104] In one embodiment, the method further includes: determining the comprehensive temperature coefficient of the day based on the high temperature coefficient, precipitation coefficient, and temperature continuity coefficient of the day using formula (6), for each day within a preset historical time period, the target time period, and the future time period from the target time period. :
[0105] Formula (6)
[0106] Where k is the number of days in the current day. This represents the high temperature coefficient for that day. This represents the precipitation coefficient for that day. This represents the temperature duration coefficient for the day.
[0107] In one embodiment, determining the cumulative meteorological coefficient for the preset future time period based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period includes: determining the cumulative meteorological coefficient for the preset future time period from the target time period using formula (7) based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period. :
[0108] Formula (7)
[0109] in, D1 represents the day furthest from the target time period within the preset historical time period, and D2 represents the number of other days besides the day furthest from the target time period within the preset historical time period. Let be the comprehensive temperature coefficient for day k.
[0110] In one embodiment, determining the meteorological index under the temperature accumulation effect of the preset future time period from the target time period based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period includes: determining the meteorological index under the temperature accumulation effect of the preset future time period from the target time period using formula (8) based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period. :
[0111] Formula (8)
[0112] Where j is the time of the day, j=1,2,3……23,24, Preset the cumulative meteorological coefficient for future time periods to be relative to the target time period. A comprehensive temperature index is preset for the j-th hour of the future time period, which is far from the target time period.
[0113] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0114] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0115] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0116] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0117] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0118] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0119] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0120] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0121] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for determining meteorological indicators under the cumulative effect of temperature, characterized in that, The method for applying meteorological data to a preset area includes: The system acquires historical meteorological indicators for each day within a preset historical time period from the target time period, as well as predicted meteorological indicators for the target time period and a preset future time period from the target time period. The meteorological indicators include temperature, precipitation, humidity, and wind speed. For each day within the preset historical time period, the historical comprehensive temperature index for each hour is determined by formula (1) based on the historical meteorological index for each hour of that day. For each day within the preset historical time period, determine the maximum and minimum historical comprehensive temperature index for that day; For each day within the preset historical time period, the historical normalized temperature index for each hour of the day is determined based on the maximum historical comprehensive temperature index, the minimum historical comprehensive temperature index, and the historical comprehensive temperature index for each hour of the day. For the target time period and the future time period preset from the target time period, the predicted comprehensive temperature index for each hour of the day is determined by formula (1) based on the predicted meteorological index for each hour of the day: For the target time period and the future time period preset from the target time period, determine the maximum and minimum predicted comprehensive temperature index for the day; For the target time period and the future time period preset from the target time period, the predicted normalized temperature index for each hour of the day is determined based on the maximum predicted comprehensive temperature index, the minimum predicted comprehensive temperature index, and the predicted comprehensive temperature index for each hour of the day. For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the meteorological index coefficients for the day are determined based on the historical meteorological indexes, predicted meteorological indexes, historical normalized temperature indexes, or predicted normalized temperature indexes for that day. The meteorological cumulative coefficient for the preset future time period is determined based on the meteorological index coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period. The meteorological index of the preset future time period from the target time period is determined based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period. For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the comprehensive temperature coefficient for that day is determined using formula (6) based on the high temperature coefficient, precipitation coefficient, and temperature continuity coefficient of that day. : Official (6) Where k is the number of days in the current day. This represents the high temperature coefficient for that day. This represents the precipitation coefficient for that day. This is the temperature duration coefficient for the day; The meteorological cumulative coefficient for the preset future time period is determined by formula (7) based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period. : Official (7) in, D1 is the day furthest from the target time period within the preset historical time period, and D2 is the number of other days besides the day furthest from the target time period within the preset historical time period. The comprehensive temperature coefficient for day k; The expression for formula (1) is as follows: Official (1) In calculating the historical comprehensive temperature index for each hour of the day, i represents the number of days in the historical time period, j represents the hour of the day, and j = 1, 2, 3... 23, 24. This represents the historical comprehensive temperature index for the j-th hour of day i. The historical temperature value for the j-th hour of day i. This represents the historical humidity value for the j-th hour of day i. The historical wind speed value for the i-th day and j-th hour; When calculating the hourly forecast composite temperature index for the day, i represents the target time period or the number of days until the target time period is preset in the future, and j represents the hour of the day, j=1,2,3……23,24. The predicted comprehensive temperature index for the i-th day and j-th hour. This represents the predicted temperature value for the j-th hour of the i-th day. This represents the predicted humidity value for the j-th hour of the i-th day. Let be the predicted wind speed value for the j-th hour of the i-th day.
2. The method for determining meteorological indicators under the cumulative effect of temperature according to claim 1, characterized in that, For each day within the preset historical time period, the historical normalized temperature index for each hour of the day is determined based on the maximum historical comprehensive temperature index, the minimum historical comprehensive temperature index, the historical comprehensive temperature index for each hour of the day, and formula (2): Official (2) Where i is the number of days in the corresponding historical time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the historical normalized temperature index of the i-th day and j-th hour, This represents the historical comprehensive temperature index for the i-th day and j-th hour.
3. The method for determining meteorological indicators under the cumulative effect of temperature according to claim 1, characterized in that, For the target time period and the future time period preset from the target time period, the predicted normalized temperature index for each hour of the day is determined based on the maximum predicted comprehensive temperature index, the minimum predicted comprehensive temperature index, the predicted comprehensive temperature index for each hour of the day, and formula (2): Official (2) Where i is the target time period or the number of days from the target time period to a preset future time period, j is the time of the day (j=1,2,3……23,24), and v is the time of the day. For the predicted normalized temperature index of the i-th day and j-th hour, The predicted comprehensive temperature index is for the i-th day and j-th hour.
4. The method for determining meteorological indicators under the cumulative effect of temperature according to claim 1, characterized in that, The meteorological index coefficients include a high temperature coefficient, a precipitation coefficient, and a temperature duration coefficient. The determination of the meteorological index coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period, based on the day's historical meteorological indicators, predicted meteorological indicators, historical normalized temperature indicators, or predicted normalized temperature indicators, includes: For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the high temperature coefficient for that day is determined according to formula (3). : Official (3) Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted temperature value for the j-th hour of day k. For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the precipitation coefficient for that day is determined according to formula (4). : Official (4) Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This represents the historical or predicted precipitation for the j-th hour on day k. For each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the temperature continuity coefficient for that day is determined according to formula (5). : Official (5) Where k is the day number, and j is the hour number of the day, j=1,2,3……23,24. This refers to the historical or predicted normalized temperature index for the k-th hour.
5. The method for determining meteorological indicators under the cumulative effect of temperature according to claim 1, characterized in that, The step of determining the meteorological indicators under the cumulative temperature effect for the preset future time period based on the meteorological cumulative coefficient for the preset future time period and the predicted comprehensive temperature index for the preset future time period includes: Based on the meteorological cumulative coefficient of the future time period before the target time period and the predicted comprehensive temperature index of the future time period before the target time period, the meteorological index of the future time period before the target time period under the temperature cumulative effect is determined by formula (8). : Equation (8) Where j is the time of the day, j=1,2,3……23,24, A cumulative meteorological coefficient for future time periods is preset for the distance to the target time period. A predicted comprehensive temperature index for the j-th hour of the future time period is preset for the distance from the target time period.
6. A processor, characterized in that, The method is configured to perform the method for determining meteorological indicators under the cumulative effect of temperature as described in any one of claims 1 to 5.
7. An apparatus for determining meteorological indicators under the cumulative effect of air temperature, characterized in that, The device includes: The acquisition module acquires historical meteorological indicators for each day within a preset historical time period from the target time period, as well as predicted meteorological indicators for the target time period and a preset future time period from the target time period. The meteorological indicators include temperature, precipitation, humidity, and wind speed. The normalized index determination module is used to determine the historical comprehensive temperature index for each hour of the day based on the historical meteorological index of each hour of the day using formula (1) for each day within the preset historical time period; to determine the maximum and minimum historical comprehensive temperature index for each day within the preset historical time period; to determine the historical normalized temperature index for each hour of the day based on the maximum historical comprehensive temperature index, the minimum historical comprehensive temperature index, and the historical comprehensive temperature index of each hour of the day for each day within the preset historical time period; to determine the predicted comprehensive temperature index for each hour of the day based on the predicted meteorological index of each hour of the day using formula (1) for the target time period and the predicted future time period from the target time period; to determine the maximum and minimum predicted comprehensive temperature index for each hour of the day based on the predicted comprehensive temperature index of each hour of the day using formula (1) for the target time period and the predicted future time period from the target time period; to determine the predicted normalized temperature index for each hour of the day based on the maximum predicted comprehensive temperature index, the minimum predicted comprehensive temperature index, and the predicted comprehensive temperature index of each hour of the day for the target time period and the predicted future time period from the target time period. The meteorological index coefficient determination module is used to determine the meteorological index coefficient for each day within the preset historical time period, the target time period, and the preset future time period from the target time period, based on the historical meteorological index or predicted meteorological index or historical normalized temperature index or predicted normalized temperature index of the day. The meteorological cumulative coefficient determination module determines the meteorological cumulative coefficient for the preset future time period based on the meteorological index coefficients of each day within the preset historical time period, the target time period, and the preset future time period from the target time period; wherein, for each day within the preset historical time period, the target time period, and the preset future time period from the target time period, the comprehensive temperature coefficient for that day is determined by formula (6) based on the high temperature coefficient, precipitation coefficient, and temperature continuity coefficient of that day. The cumulative meteorological coefficient for the preset future time period is determined by formula (7) based on the meteorological index coefficients for each day within the preset historical time period, the target time period, and the preset future time period from the target time period. : Official (6) Where k is the number of days in the current day. This represents the high temperature coefficient for that day. This represents the precipitation coefficient for that day. This is the temperature duration coefficient for the day; Official (7) in, D1 is the day furthest from the target time period within the preset historical time period, and D2 is the number of other days besides the day furthest from the target time period within the preset historical time period. The comprehensive temperature coefficient for day k; The meteorological index prediction module determines the meteorological index of the preset future time period from the target time period under the temperature accumulation effect based on the meteorological cumulative coefficient of the preset future time period from the target time period and the predicted comprehensive temperature index of the preset future time period from the target time period. The expression for formula (1) is as follows: Official (1) In calculating the historical comprehensive temperature index for each hour of the day, i represents the number of days in the historical time period, j represents the hour of the day, and j = 1, 2, 3... 23, 24. This represents the historical comprehensive temperature index for the j-th hour of day i. The historical temperature value for the j-th hour of day i. This represents the historical humidity value for the j-th hour of day i. The historical wind speed value for the i-th day and j-th hour; When calculating the hourly forecast composite temperature index for the day, i represents the target time period or the number of days until the target time period is preset in the future, and j represents the hour of the day, j=1,2,3……23,24. The predicted comprehensive temperature index for the i-th day and j-th hour. This represents the predicted temperature value for the j-th hour of the i-th day. This represents the predicted humidity value for the j-th hour of the i-th day. Let be the predicted wind speed value for the j-th hour of the i-th day.
8. A machine-readable storage medium, characterized in that, The machine-readable storage medium stores instructions for causing the machine to perform a method for determining meteorological indicators under the cumulative effect of temperature according to any one of claims 1 to 5.
Citation Information
Patent Citations
Road weather prediction method and device, electronic equipment and storage medium
CN110599789A
Spring festival load rolling prediction method based on short, medium and long time scales
CN113313312A
