Weather information processing device, weather information processing method, and program

Abstract

To easily obtain weather information having higher accuracy or an index to be used to acquire the weather information.SOLUTION: A weather information processing device derives a temperature lapse rate of a prescribed area, acquires first altitude information of a first mesh area of a first grain size included in the prescribed area and each second altitude information of a plurality of second mesh areas divided by a second fine grain size, and acquires second difference between the second altitude information and the first altitude information to generate altitude difference information with the second difference associated therewith about each of the second mesh areas. The weather information processing device calculates a correction value on the basis of the second difference and the temperature lapse rate to generate correction distribution information with the correction value associated therewith about each of the second mesh areas, and predicts future weather information of a targeted second mesh area on the basis of predicted future weather information of the first mesh area and the correction value associated with the targeted second mesh area.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a weather information processing device, a weather information processing method, and a program.

Background Art

[0002] Conventionally, technologies for deriving weather information related to weather or indices used to obtain weather information have been disclosed (see, for example, Patent Document 1 and Non-Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Non-Patent Documents

[0004]

Non-Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, with the above technologies, it may not be possible to easily obtain highly accurate weather information or indices used to obtain weather information.

[0006] The present invention has been made in consideration of such circumstances, and one of its objectives is to provide a weather information processing device, a weather information processing method, and a program that can easily obtain more accurate weather information or indices used to obtain weather information. [Means for solving the problem]

[0007] A weather information processing device according to a first aspect of the present invention includes: a temperature lapse rate derivation unit that derives a temperature lapse rate based on a first difference between a first altitude of the first atmospheric surface estimated from a first temperature of the first atmospheric surface of a predetermined region and a second altitude of the second atmospheric surface estimated from a second temperature of the second atmospheric surface of the predetermined region; an acquisition unit that acquires first elevation information of a first mesh region having a first granularity smaller than the predetermined region and second elevation information of each of a plurality of second mesh regions in which the first mesh region is divided into a second granularity finer than the first granularity; and for each of the second mesh regions, The system includes: an elevation difference information generation unit that calculates a second difference between second elevation information and first elevation information and generates elevation difference information to which the second difference is associated; a correction distribution information generation unit that, by referring to the elevation difference information, calculates a correction value for each of the second mesh regions based on the second difference and the temperature lapse rate and generates correction distribution information to which the correction value is associated; and a weather information generation unit that predicts future weather information for the target second mesh region based on predicted future weather information for the first mesh region and the correction value associated with the target second mesh region in the correction distribution information.

[0008] In a second aspect of the present invention, the weather information processing device predicts the future temperature of the target second mesh area based on the predicted future weather information of the first mesh area and the correction value associated with the target second mesh area in the correction distribution information.

[0009] In a third aspect of the present invention, the weather information processing device, the corrected distribution information generation unit associates, for each of the plurality of first mesh regions included in the predetermined region, a temperature lapse rate obtained based on the temperature lapse rate of the predetermined region and the temperature lapse rate of the region surrounding the predetermined region.

[0010] A fourth aspect of the present invention is a weather information processing device in which the corrected distribution information generation unit refers to the elevation difference information and determines a correction value for the target second mesh area based on the second difference associated with the target second mesh area and the temperature lapse rate associated with the first mesh area encompassing the target second mesh area.

[0011] In a fifth aspect of the present invention, the weather information processing device, when the temperature lapse rate is below a threshold, determines the correction value using a preset temperature lapse rate exceeding the threshold, instead of the temperature lapse rate.

[0012] In a sixth aspect of the present invention, the weather information processing device is such that the second mesh area is a quadrilateral or substantially quadrilateral area with sides of 50m.

[0013] A weather information processing device according to a seventh aspect of the present invention is characterized in that the predetermined area is a quadrilateral or substantially quadrilateral area with sides of 5 km, and the first mesh area is a quadrilateral or substantially quadrilateral area with sides of 1 km.

[0014] An eighth aspect of the present invention is a weather information processing device which includes: a temperature lapse rate derivation unit that derives a temperature lapse rate based on a first difference between a first altitude of a first atmospheric surface estimated from a first temperature of a first atmospheric surface in a predetermined region and a second altitude of a second atmospheric surface estimated from a second temperature of a second atmospheric surface in the predetermined region; an acquisition unit that acquires first elevation information of a first mesh region having a first granularity smaller than the predetermined region and second elevation information of a plurality of second mesh regions that are included in the first mesh region and divided into second mesh regions with sides of less than 1 km; an elevation difference information generation unit that calculates a second difference between the second elevation information and the first elevation information for each of the second mesh regions and generates elevation difference information to which the second difference is associated; and a correction distribution information generation unit that, by referring to the elevation difference information, calculates a correction value for each of the second mesh regions based on the second difference and the temperature lapse rate and generates correction distribution information to which the correction value is associated.

[0015] A weather information processing device according to the ninth aspect of the present invention further comprises a weather information generation unit that predicts future weather information for a target second mesh area based on predicted future weather information for the first mesh area and correction values ​​associated with the target second mesh area in the correction distribution information.

[0016] In another aspect of the present invention, a weather information processing method involves a computer deriving a temperature lapse rate based on a first difference between a first altitude of the first atmospheric surface estimated from a first temperature of the first atmospheric surface of a predetermined region and a second altitude of the second atmospheric surface estimated from a second temperature of the second atmospheric surface of the predetermined region; obtaining first elevation information for a first mesh region having a first granularity smaller than the predetermined region, and second elevation information for each of a plurality of second mesh regions in which the first mesh region is divided into a second granularity finer than the first granularity; calculating a second difference between the second elevation information and the first elevation information for each of the second mesh regions; generating elevation difference information to which the second difference is associated; calculating a correction value for each of the second mesh regions based on the second difference and the temperature lapse rate, by referring to the elevation difference information; generating corrected distribution information to which the correction value is associated; and predicting future weather information for the target second mesh region based on the predicted future weather information for the first mesh region and the correction value associated with the target second mesh region in the corrected distribution information.

[0017] Another aspect of the present invention involves a program that causes a computer to derive a temperature lapse rate based on a first difference between a first altitude of the first atmospheric surface estimated from a first temperature of the first atmospheric surface of a predetermined region and a second altitude of the second atmospheric surface estimated from a second temperature of the second atmospheric surface of the predetermined region; to obtain first elevation information for a first mesh region having a first grain size smaller than the predetermined region, and second elevation information for each of a plurality of second mesh regions in which the first mesh region is divided into a second grain size finer than the first grain size; to calculate a second difference between the second elevation information and the first elevation information for each of the second mesh regions, generate elevation difference information to which the second difference is associated; to calculate a correction value for each of the second mesh regions based on the second difference and the temperature lapse rate, referencing the elevation difference information, generate correction distribution information to which the correction value is associated; and to predict future weather information for the target second mesh region based on the predicted future weather information for the first mesh region and the correction value associated with the target second mesh region in the correction distribution information.

[0018] Another aspect of the present invention is a weather information processing method in which a computer derives a temperature lapse rate based on a first difference between a first altitude of the first atmospheric surface estimated from a first temperature of the first atmospheric surface of a predetermined region and a second altitude of the second atmospheric surface estimated from a second temperature of the second atmospheric surface of the predetermined region; obtains first elevation information for a first mesh region with a first granularity smaller than the predetermined region, and second elevation information for each of a plurality of second mesh regions that are included in the first mesh region and divided into sections with sides of less than 1 km; for each of the second mesh regions, it obtains a second difference between the second elevation information and the first elevation information; generates elevation difference information to which the second difference is associated; for each of the second mesh regions, it obtains a correction value based on the second difference and the temperature lapse rate by referring to the elevation difference information; and generates correction distribution information to which the correction value is associated.

[0019] Another aspect of the present invention, a program causes a computer to derive a lapse rate of temperature based on a first difference between a first altitude of a first pressure surface estimated from a first temperature of the first pressure surface in a predetermined region and a second altitude of a second pressure surface estimated from a second temperature of the second pressure surface in the predetermined region, obtain first elevation information of a first mesh region having a first granularity included in the predetermined region and smaller than the predetermined region, and second mesh regions included in the first mesh region and divided such that each side is less than 1 km, and obtain second elevation information of each of the plurality of second mesh regions. For each of the second mesh regions, a second difference between the second elevation information and the first elevation information is obtained, elevation difference information associated with the second difference is generated, and by referring to the elevation difference information, for each of the second mesh regions, a correction value is obtained based on the second difference and the lapse rate of temperature, and correction distribution information associated with the correction value is generated.

Advantages of the Invention

[0020] The weather information processing apparatus, weather information processing method, or program according to the first, seventh, tenth, and eleventh aspects of the present invention can easily obtain more accurate weather information or an index used for obtaining weather information. Further, future weather information of a target region can be predicted using the more accurate weather information or the index used for obtaining weather information.

[0021] According to the eighth, ninth, twelfth, and thirteenth aspects of the present invention, more accurate weather information or an index used for obtaining weather information can be easily obtained. For example, for a region with higher resolution, an index used for obtaining more accurate weather information or weather information can be obtained.

Brief Description of the Drawings

[0022] [Figure 1] It is a diagram showing an example of a functional configuration of a weather information providing system 1 including a weather information processing apparatus. [Figure 2] It is a diagram for explaining the first elevation information 52. [Figure 3] This is a diagram for explaining the second elevation information 54. [Figure 4] This is information for explaining the elevation difference distribution information 56. [Figure 5] This is a diagram showing an example of the content of the first weather information 58. [Figure 6] This is a flowchart showing an example of the process executed by the lapse rate derivation unit 28. [Figure 7] This is a diagram for explaining the process of the lapse rate information generation unit 30. [Figure 8] This is a diagram showing an example of the relationship between the stability and instability of the atmosphere according to the lapse rate and the RCS (Radiative Cooling Scale). [Figure 9] This is a diagram for explaining the process of the correction amount derivation unit 32.

Mode for Carrying Out the Invention

[0023] Hereinafter, embodiments of the weather information processing apparatus, weather information processing method, and program of the present invention will be described with reference to the drawings.

[0024] FIG. 1 is a diagram showing an example of the functional configuration of a weather information providing system 1 including a weather information processing apparatus. The weather information providing system 1 includes, for example, a terminal device 2 and a weather information processing apparatus 10. The terminal device 2 and the weather information processing apparatus 10 communicate with each other via, for example, a network NW. The network NW is an arbitrary network such as a LAN, WAN, or Internet line, and may be wired or wireless.

[0025] [Terminal Device] The terminal device 2 is, for example, a computer device such as a personal computer, a smartphone, or a tablet terminal. The terminal device 2 acquires, for example, the information generated by the weather information processing apparatus 10 and causes the acquired information to be displayed on the display unit. As a result, the user of the terminal device 2 can confirm information related to the weather.

[0026] [Weather Information Processing Device] The weather information processing device 10 includes, for example, a first processing unit 20 and a second processing unit 70. The first processing unit 20 and the second processing unit 70 may be a single device as shown in the figure, or they may be separate devices. Furthermore, the functional configuration included in the first processing unit 20 and the functional configuration included in the second processing unit 70 may be distributed and provided in other devices or units.

[0027] (First processing unit) The first processing unit 20 includes, for example, a first information acquisition unit 22, an altitude difference information generation unit 24, a second information acquisition unit 26, a temperature lapse rate derivation unit 28, a temperature lapse rate information generation unit 30, a correction amount derivation unit 32, and a first storage unit 50. The first information acquisition unit 22, the altitude difference information generation unit 24, the second information acquisition unit 26, the temperature lapse rate derivation unit 28, the temperature lapse rate information generation unit 30, and the correction amount derivation unit 32 are realized, for example, by a hardware processor such as a CPU (Central Processing Unit) executing a program (software). Some or all of these components may be realized by hardware (including circuitry) such as an LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), or GPU (Graphics Processing Unit), or by the cooperation of software and hardware. The program may be stored in advance on a storage device such as an HDD (Hard Disk Drive) or flash memory (a storage device equipped with a non-transient storage medium), or it may be stored on a removable storage medium such as a DVD or CD-ROM (a non-transient storage medium) and installed when the storage medium is inserted into a drive device. The first storage unit 50 is realized by a storage device such as an HDD, flash memory, or RAM (Random Access Memory). The first storage unit 50 stores, for example, first elevation information 52 (e.g., 1km mesh elevation information), second elevation information 54 (e.g., 50m mesh elevation information), elevation difference distribution information 56, first weather information 58 (e.g., 5km mesh weather information), temperature lapse rate distribution information 60 (e.g., 1km mesh temperature lapse rate information), and mesh correction information 62 (e.g., 50m mesh correction information).

[0028] The first information acquisition unit ("acquisition unit") 22 acquires information for processing from, for example, various information providing devices. These various information providing devices include, for example, the National Agriculture and Food Research Organization's Mesh Agricultural Meteorological Data System and information providing devices managed by the Ministry of Land, Infrastructure, Transport and Tourism. The first information acquisition unit 22 acquires, for example, information regarding the elevation of the mesh area from the various information providing devices. A mesh area is an area obtained by dividing a planar area according to predetermined rules.

[0029] The elevation information includes, for example, first elevation information 52 and second elevation information 54. The first elevation information 52 is, for example, the average elevation of a first mesh area into which a predetermined area (for example, a quadrilateral or roughly quadrilateral area with sides of 5 km) is divided, and the second elevation information 54 is, for example, the average elevation of a second mesh area. The second mesh area is an area that is included in the first mesh area and is smaller than the first mesh area.

[0030] The first mesh area is, for example, a quadrilateral or roughly quadrilateral area with sides of 1 km, and the second mesh area is, for example, a quadrilateral or roughly quadrilateral area with sides of 50 m. The second mesh area may also be a quadrilateral or roughly quadrilateral area with sides of less than 1 km, for example, a quadrilateral or roughly quadrilateral area of ​​500 m, 100 m, 25 m, etc. The first storage unit 50 of the weather information processing device 10 stores location information of a predetermined area, the first mesh area, and the second mesh area, and the weather information processing device 10 can recognize the correspondence between each area based on this location information.

[0031] Figure 2 is a diagram illustrating the first elevation information 52. The first elevation information 52 is information that associates, for example, the average elevation of each of the first mesh areas (AR1-AR6 in the figure) with the corresponding first mesh area (AL1-AL6 in the figure).

[0032] Figure 3 is a diagram illustrating the second elevation information 54. The second elevation information 54 is information that associates, for example, the average elevation of each of the second mesh regions (AR1-1 to AR1-3 in the figure) with the respective second mesh region (AL11 to AL13 in the figure). The second mesh region in Figure 3 is, for example, a region into which the mesh region AR1 in Figure 2 has been divided.

[0033] The elevation difference information generation unit 24 calculates, for example, the difference (second difference) between the average elevation of the target second mesh area and the average elevation of the first mesh area encompassing the target second mesh area, and generates elevation difference distribution information 56 by associating the calculated difference with the target second mesh area. The elevation difference information generation unit 24 generates elevation difference distribution information 56 by associating the above difference with all second mesh areas included in the first mesh area.

[0034] Figure 4 is a diagram illustrating the elevation difference distribution information 56. The elevation difference distribution information 56 is information to which the differences obtained as described above are associated with each of the second mesh regions. For example, the second mesh region AR1-1 is associated with the difference between the average elevation of the second mesh region AR1-1 and the average elevation of the first region AR1, and the second mesh region AR1-2 is associated with the difference between the average elevation of the second mesh region AR1-2 and the average elevation of the first region AR1.

[0035] The second information acquisition unit 26 acquires pressure level information from, for example, the mesoscale numerical weather prediction model GPV (MSM). Pressure level information refers to, for example, predicted temperature values ​​for the first pressure level (e.g., 925 hPa) and the second pressure level (e.g., 1000 hPa) in a time series for a predetermined area (e.g., a 5 km mesh). The second information acquisition unit 26 acquires, for example, predicted temperature values ​​for a predetermined area including the first mesh area. The acquired information is the first weather information 58.

[0036] Figure 5 shows an example of the contents of the first weather information report 58. The first weather information report 58 is, for example, the predicted values ​​for the first and second atmospheric pressure levels from time T to time T+n. Time T is the initial value (predicted value after zero time). These predicted values ​​are provided, for example, eight times a day. In other words, a set of predicted values ​​from the current time T to time T+n is provided eight times a day.

[0037] The temperature lapse rate derivation unit 28 generates temperature lapse rate distribution information 60 by calculating the temperature lapse rate as follows, for example. Figure 6 is a flowchart showing an example of the processing flow executed by the temperature lapse rate derivation unit 28. First, the temperature lapse rate derivation unit 28 derives the daily average temperature of the first pressure surface and the daily average temperature of the second pressure surface (steps S100, S102). The temperature lapse rate derivation unit 28 extracts a predetermined number (e.g., 8) of forecast temperature values ​​(initial value; forecast value after zero time / predicted value at time T) of the first pressure surface and calculates the average of the extracted forecast temperature values. This average is the daily average temperature of the first pressure surface. The temperature lapse rate derivation unit 28 similarly calculates the average of the forecast temperature values ​​and the daily average temperature for the second pressure surface.

[0038] The temperature lapse rate derivation unit 28 estimates the altitude from the daily average temperature of the first pressure surface (step S104) and from the daily average temperature of the second pressure surface (step S106). The altitude is estimated from the temperature based on a pre-set calculation formula, for example. Other parameters may be taken into account at this time. The temperature lapse rate derivation unit 28 calculates the temperature lapse rate by dividing the difference between the daily average temperature of the first pressure surface and the daily average temperature of the second pressure surface by the altitude difference (step S108), and generates temperature lapse rate distribution information 60 based on the calculated temperature lapse rate (step S110). The altitude difference is the difference between the altitude of the first pressure surface and the altitude of the second pressure surface. This completes the processing of one routine in this flowchart. As described above, the temperature lapse rate derivation unit 28 calculates the temperature lapse rate.

[0039] The temperature lapse rate information generation unit 30 generates temperature lapse rate distribution information 60 by performing linear interpolation using the temperature lapse rate of a predetermined area derived by the temperature lapse rate derivation unit 28 to assign a temperature lapse rate to each mesh area. This mesh area is, for example, a quadrilateral or approximately quadrilateral mesh area with sides of 1 km. Specifically, it is the area corresponding to the first mesh area. The temperature lapse rate distribution information 60 is information that associates the first mesh area with the temperature lapse rate of that first mesh area.

[0040] Figure 7 is a diagram illustrating the processing of the temperature lapse rate information generation unit 30. The temperature lapse rate information generation unit 30 assigns a temperature lapse rate to each of the first mesh regions included in a predetermined region, using the temperature lapse rate (TD1-4 in the figure) corresponding to a predetermined region. For example, the temperature lapse rate derivation unit 28 determines the temperature lapse rate for each of the first mesh regions included in a predetermined region based on a function or model set for each first region and the temperature lapse rates of the predetermined region and its surrounding areas. For example, the function or model set for each first region is a function or model that derives the temperature lapse rate of a given first mesh region when the temperature lapse rate of the predetermined region and the temperature lapse rates of adjacent regions of the predetermined region are input. For example, the temperature lapse rate derivation unit 28 derives a temperature lapse rate for the first mesh region in the center or near the center of the target predetermined region that is the temperature lapse rate of the predetermined region or a value close to the temperature lapse rate of the predetermined region, and as it approaches an adjacent predetermined region, it derives a temperature lapse rate that takes into account the influence of the adjacent predetermined region (for example, a temperature lapse rate that is close to the temperature lapse rate of the adjacent predetermined region). As described above, the temperature lapse rate derivation unit 28, for example, determines the temperature lapse rate for each of the first mesh regions included in a predetermined area, and generates temperature lapse rate distribution information 60 using the determined temperature lapse rates.

[0041] However, in the above processing, if the atmosphere is strong and stable and the estimated value of the temperature lapse rate is calculated to be negative, the temperature lapse rate is adjusted so that such a value does not appear. Figure 8 is a diagram showing an example of the relationship between the stability and instability of the atmosphere according to the temperature lapse rate and RCS (Radiative Cooling Scale). RCS (Radiative Cooling Scale) is the difference between the potential temperature of the upper pressure surface and the potential temperature of the ground. As shown in Figure 8, the smaller the temperature lapse rate and the larger the RCS, the more stable the atmosphere is considered to be. For example, the temperature lapse rate information generation unit 30 adjusts the temperature lapse rate so that no first mesh region with a temperature lapse rate below a threshold (0.3℃ / 100m) appears. For example, the temperature lapse rate information generation unit 30 associates a predetermined value exceeding the threshold with the first mesh region where the temperature lapse rate is below the threshold. Alternatively, if the temperature lapse rate of a predetermined region (5km mesh) is below the threshold, it may be replaced with a temperature lapse rate exceeding the threshold, and linear interpolation or the like may be performed to associate the temperature lapse rate with the first mesh region.

[0042] The correction amount derivation unit 32 generates mesh correction information 62 based, for example, on the elevation difference distribution information 56 generated by the elevation difference information generation unit 24 and the temperature lapse rate distribution information 60 generated by the temperature lapse rate information generation unit 30. Figure 9 is a diagram illustrating the processing of the correction amount derivation unit 32. The correction amount derivation unit 32 determines the correction amount for the target second mesh area based, for example, on the elevation difference associated with the target second mesh area and the temperature lapse rate of the first mesh area encompassing the target second mesh area. The correction amount is, for example, the product of the elevation difference of the target second mesh area and the temperature lapse rate of the first mesh area encompassing the target second mesh area. In this way, the correction amount derivation unit 32 determines the correction amount for each of the second mesh areas, associates the determined correction amount with the corresponding second mesh area, and generates mesh correction information 62. The mesh correction information 62 is information in which the second mesh area and the correction amount (S in the figure) of the second mesh area are associated with each other.

[0043] (Second processing unit) The second processing unit 70 includes, for example, a mesh weather information generation unit 72, an information processing unit 74, and a second storage unit 80. The mesh weather information generation unit 72 and the information processing unit 74 are implemented, for example, by a hardware processor such as a CPU executing a program (software). Some or all of these components may be implemented by hardware (including circuitry) such as an LSI, ASIC, FPGA, or GPU, or by the cooperation of software and hardware. The program may be stored in advance in a storage device such as an HDD or flash memory (a storage device equipped with a non-transient storage medium), or it may be stored in a removable storage medium such as a DVD or CD-ROM (a non-transient storage medium) and installed when the storage medium is mounted on a drive device. The second storage unit 80 is implemented by a storage device such as an HDD, flash memory, or RAM. The second storage unit 80 stores, for example, a second weather information 82 and a third weather information 84.

[0044] The mesh weather information generation unit 72 generates a third weather information 84 based, for example, on mesh correction information 62 and second weather information 82. The second weather information 82 is, for example, weather information for each first mesh area. For example, the second weather information 82 is weather information provided by the National Agriculture and Food Research Organization (NARO) Mesh Agricultural Weather Data System.

[0045] The mesh weather information generation unit 72 generates weather information for each of the target second mesh regions, for example. This generated weather information is the third weather information 84. The mesh weather information generation unit 72 determines the weather information for the target second mesh region based on a correction amount associated with the target second mesh region and the weather information for the first mesh region encompassing the target second mesh region.

[0046] For example, the mesh weather information generation unit 72 uses a correction amount for the target second mesh area to correct the temperature of the first mesh area and obtain the temperature of the target second mesh area (e.g., future temperature), or it uses the correction amount or the temperature reflecting the correction amount and the second weather information 82 of the first mesh area to obtain other weather information for the target second mesh area. For example, the mesh weather information generation unit 72 uses the correction amount to generate weather information up to a predetermined time in advance. For example, weather information is generated up to the same future time as the predicted value included in the second weather information 82. In this way, the mesh weather information generation unit 72 generates third weather information 84, which is weather information for each second mesh area.

[0047] The information processing unit 74 provides the third weather information 84 to the terminal device 2 in response to a request from the terminal device 2. For example, when the information processing unit 74 receives a request from the terminal device 2 that includes location (latitude and longitude) and date (or date and time), it extracts weather information for the second mesh area corresponding to the requested location and date (or date and time) from the third weather information 84 and provides the extracted weather information to the terminal device 2. In the above example, it is explained that the third weather information 84 has been generated in advance, but instead, the weather information processing unit 10 may generate the third weather information 84 in response to a request and provide the generated third weather information 84 to the terminal device 2. In this case, the weather information processing unit 10 may generate weather information for the location (second mesh area) and date corresponding to the request and provide the generated weather information to the terminal device 2.

[0048] As described above, the weather information processing device 10 can easily obtain more accurate weather information or indicators used to obtain weather information.

[0049] [About the background, features, etc.] In recent years, there has been a growing need for data-driven agriculture that uses various sensing information to support operational decisions, in order to address climate change, the expansion of farm scale, and the increase in new farmers with little experience. Weather information is one of the fundamental pieces of information for this, and there is a demand for greater accuracy and higher resolution in both temporal and spatial aspects.

[0050] For example, with techniques such as (1) or (2), it was sometimes not possible to easily obtain more accurate weather information or indicators used to obtain weather information. (1) 10 to 20 unique observation points are placed within the target area, and the temperature is measured for several months to half a year. A model is created to estimate the potential temperature difference between each observation point and nearby AMeDAS observation points using stepwise multiple regression analysis with topographic factors created from 50m mesh elevation data as explanatory variables, and the temperature at each 50m mesh grid is estimated from the temperature observation values ​​at AMeDAS locations. When performing stepwise multiple regression analysis, cases are distinguished based on the Japan Meteorological Agency's Global Numerical Weather Prediction Model (GSM) and the RCS (Radiological Cooling Intensity Index) calculated from AMeDAS observation values ​​(see Non-Patent Literature 1).

[0051] (2) In order to create 1km mesh weather information from primary weather observation data such as AMeDAS, elevation correction is performed using the temperature lapse rate estimated from the Japan Meteorological Agency's mesoscale numerical weather prediction model (MSM) (see Patent Document 1).

[0052] Method (1) above is an excellent method for estimating precise temperature distribution in agricultural areas such as mountainous and hilly regions with intricate ridges and valleys, and island areas strongly influenced by water bodies. On the other hand, it requires setting up 10 to 20 independent observation points at each AMeDAS observation point, which is installed at approximately 20 km intervals, and conducting temperature observations for several months to half a year. Creating such data for an entire prefecture or the entire country would incur significant costs. Furthermore, because it corrects for AMeDAS observation values, it has the problem that it cannot produce forecast values. Method (2) above is a method for creating a 1 km mesh, and has the problem that it cannot estimate meteorological information with a higher resolution than that. Moreover, since method (2) estimates meteorological information using observation values, it has the problem that it cannot obtain forecast values ​​for meteorological information.

[0053] In this embodiment, for example, the various processes described above are performed to solve the above problems, and more accurate weather information or indicators used to obtain weather information can be easily obtained. In this embodiment, for example, temperature is estimated in high-resolution mesh areas of less than 1 km, such as 50 m and 250 m, targeting large-scale farming areas that spread over a wide area, such as the Tokachi Subprefecture in Hokkaido. Such large-scale farming areas are flatter than the mountainous areas targeted in (1) above, and there are fewer special topographic conditions such as valleys where cold air accumulates and extremely low temperatures occur. Therefore, a certain level of accuracy can be obtained by elevation correction alone without using unique observation points as in (1) above. Furthermore, while (1) spatially interpolates the AMeDAS observation values ​​themselves, in this embodiment, for example, the NARO Mesh Agricultural Meteorological Data System, which is provided in a 1 km mesh area, is spatially interpolated. As a result, the forecast values ​​up to 9 days ahead provided by the NARO Mesh Agricultural Meteorological Data System can also be made into high-resolution meshes, similar to past values. The temperature lapse rate used when making the forecast values ​​high-resolution can be estimated from the Japan Meteorological Agency's Global Numerical Weather Prediction Model (GSM). Furthermore, the temperature lapse rate in this embodiment and the RCS used in (1) above correspond to each other in approximately a 1:1 ratio. However, in (1) above, it is used for case differentiation during topographic factor analysis, whereas in this embodiment, it is used for elevation correction itself.

[0054] The weather information processing device 10 of this embodiment is primarily intended for use in the agricultural sector. Since the growth rate of many crops depends on accumulated temperature, temperature information that reflects detailed elevation differences is useful for accurately understanding the growth stage. While its use in other industries is also envisioned, in urban areas with heavy human activity, factors other than altitude (such as shielding from sunlight and wind by buildings and radiant heat from paved roads) are dominant, and the influence of altitude is relatively small, so it is assumed that there will be few situations where it is useful. Furthermore, since forecast values ​​are subject to the restrictions of the Meteorological Service Act, issuing them to an unspecified number of users will require the placement of a certified weather forecaster.

[0055] As described above, the weather information processing device 10 can easily obtain more accurate weather information or indicators used to obtain weather information.

[0056] Although embodiments for carrying out the present invention have been described above using examples, the present invention is not limited in any way to these embodiments, and various modifications and substitutions can be made without departing from the spirit of the present invention. [Explanation of Symbols]

[0057] 1. Weather Information Provision System 2 Terminal devices 10 Weather Information Processing Device 20 First Processing Unit 22 1st Information Acquisition Department 24 Elevation difference information generation section 26 2nd Information Acquisition Department 28 Temperature lapse rate derivation section 30 Temperature lapse rate information generation unit 32 Correction Amount Derivation Unit 50 1st memory section 52. First elevation information 54. Second elevation information 56 Elevation difference distribution information 58. First Weather Information 60 Temperature lapse rate distribution information 62 Mesh Correction Information 70 Second Processing Unit 72 Mesh Weather Information Generation Unit 74 Information Processing Section 80 2nd memory section 82. Weather Information No. 2 84. Weather Information No. 3

Claims

1. A temperature lapse rate derivation unit that derives a temperature lapse rate based on a first difference between a first altitude of the first atmospheric pressure surface estimated from a first temperature of the first atmospheric pressure surface in a predetermined region and a second altitude of the second atmospheric pressure surface estimated from a second temperature of the second atmospheric pressure surface in the predetermined region, An acquisition unit that acquires first elevation information for a first mesh region having a first grain size smaller than the predetermined region and second elevation information for each of a plurality of second mesh regions in which the first mesh region is divided by a second grain size finer than the first grain size. For each of the second mesh regions, an elevation difference information generation unit calculates a second difference between the second elevation information and the first elevation information, and generates elevation difference information to which the second difference is associated; A correction distribution information generation unit that, by referring to the elevation difference information, determines a correction value for each of the second mesh regions based on the second difference and the temperature lapse rate, and generates correction distribution information to which the correction value is associated, A weather information generation unit predicts future weather information for the target second mesh area based on the predicted future weather information for the first mesh area and the correction value associated with the target second mesh area in the correction distribution information, A weather information processing device equipped with the following features.

2. The weather information generation unit predicts the future temperature of the target second mesh area based on the predicted future weather information of the first mesh area and the correction value associated with the target second mesh area in the correction distribution information. The weather information processing device according to claim 1.

3. The corrected distribution information generation unit associates, for each of the plurality of first mesh regions included in the predetermined region, the temperature lapse rate obtained based on the temperature lapse rate of the predetermined region and the temperature lapse rate of the region surrounding the predetermined region. The weather information processing device according to claim 1 or 2.

4. The correction distribution information generation unit refers to the elevation difference information and determines a correction value for the target second mesh region based on the second difference associated with the target second mesh region and the temperature lapse rate associated with the first mesh region encompassing the target second mesh region. The weather information processing device according to claim 3.

5. The correction distribution information generation unit, when the temperature lapse rate is below a threshold, uses a preset temperature lapse rate exceeding the threshold to determine the correction value instead of the temperature lapse rate. The weather information processing device according to claim 4.

6. The second mesh region is a quadrilateral or approximately quadrilateral region with sides of 50 m. The weather information processing device according to claim 4.

7. The aforementioned predetermined area is a quadrilateral or approximately quadrilateral area with sides of 5 km. The first mesh region is a quadrilateral or approximately quadrilateral region with sides of 1 km. The weather information processing device according to claim 6.

8. A temperature lapse rate derivation unit that derives a temperature lapse rate based on a first difference between a first altitude of the first atmospheric pressure surface estimated from a first temperature of the first atmospheric pressure surface in a predetermined region and a second altitude of the second atmospheric pressure surface estimated from a second temperature of the second atmospheric pressure surface in the predetermined region, An acquisition unit that acquires first elevation information for a first mesh region having a first granularity smaller than the predetermined region and a second mesh region having a second elevation information for each of a plurality of second mesh regions that are included in the first mesh region and divided by sides of less than 1 km, For each of the second mesh regions, an elevation difference information generation unit calculates a second difference between the second elevation information and the first elevation information, and generates elevation difference information to which the second difference is associated; A correction distribution information generation unit that, by referring to the elevation difference information, determines a correction value for each of the second mesh regions based on the second difference and the temperature lapse rate, and generates correction distribution information to which the correction value is associated, A weather information processing device equipped with the following features.

9. A weather information generation unit that predicts future weather information for the target second mesh area based on predicted future weather information for the first mesh area and correction values ​​associated with the target second mesh area in the correction distribution information, further comprises: The weather information processing device according to claim 8.

10. Computers Based on the first difference between the first altitude of the first pressure surface estimated from the first temperature of the first pressure surface in a predetermined region and the second altitude of the second pressure surface estimated from the second temperature of the second pressure surface in the predetermined region, the temperature lapse rate is derived. First elevation information for a first mesh region having a first grain size smaller than the predetermined region and first elevation information for each of a plurality of second mesh regions in which the first mesh region is divided by a second grain size finer than the first grain size, For each of the second mesh regions, a second difference is calculated between the second elevation information and the first elevation information, and elevation difference information is generated to which the second difference is associated. Referencing the elevation difference information, a correction value is calculated for each of the second mesh regions based on the second difference and the temperature lapse rate, and a correction distribution information to which the correction value is associated is generated. Based on the predicted future weather information for the first mesh area and the correction value associated with the target second mesh area in the correction distribution information, the future weather information for the target second mesh area is predicted. Weather information processing methods.

11. On the computer, Based on the first difference between the first altitude of the first pressure surface estimated from the first temperature of the first pressure surface in a predetermined region and the second altitude of the second pressure surface estimated from the second temperature of the second pressure surface in the predetermined region, the temperature lapse rate is derived. The system obtains first elevation information for a first mesh region having a first grain size smaller than the predetermined region, and second elevation information for each of a plurality of second mesh regions in which the first mesh region is divided by a second grain size finer than the first grain size. For each of the second mesh regions, a second difference is calculated between the second elevation information and the first elevation information, and elevation difference information is generated to which the second difference is associated. By referring to the elevation difference information, a correction value is calculated for each of the second mesh regions based on the second difference and the temperature lapse rate, and a correction distribution information to which the correction value is associated is generated. Based on the predicted future weather information for the first mesh area and the correction value associated with the target second mesh area in the correction distribution information, the future weather information for the target second mesh area is predicted. program.

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