Global-Regional Model Two-Way Coupling Optimization Method, Device, Equipment and Medium

Abstract

The present invention provides a method, device, equipment and medium for optimizing the two-way coupling of a global-regional model. The method includes: constructing a global climate model and a regional ocean-atmosphere coupling model; obtaining a target position of a target region in the global climate model; obtaining climate information of the global climate model, and according to the climate information of the global climate model and the target position, obtaining target climate information of the target region in the global climate model; through the regional ocean-atmosphere coupling model, using the boundary field information and initial field information of the target region, calculating to obtain future climate information of the target region; using the future climate information of the target region, adjusting and optimizing the target climate information in the global climate model in an upscaling manner; repeatedly executing the foregoing steps to couple the global climate model and the regional ocean-atmosphere coupling model with each other. The present invention can improve the climate prediction accuracy and simulation ability through the two-way coupling of global climate and regional climate.

Description

Technical Field

[0001] The present invention relates to the technical field of climate monitoring, and particularly to a global-regional model two-way coupling optimization method, device, equipment and medium. Background Art

[0002] Climate monitoring has always been a problem that technical personnel are keen on, because climate has more or less influence on various industries and fields. Whether it is agricultural planting, irrigation, transportation and aviation, or people's daily travel, it is inseparable from the influence of climate. Therefore, the role of climate monitoring and prediction is particularly important. However, the existing climate monitoring and prediction methods are either limited to some regions and not comprehensive enough, or the accuracy of large-scale global climate monitoring is not high, which cannot meet the living and production needs of people. Moreover, the data resources between regional climate and global climate cannot be interconnected and mutually predicted, resulting in waste of resources. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to overcome the deficiencies in the prior art and provide a global-regional model two-way coupling optimization method, device, equipment and medium.

[0004] The present invention provides the following technical solutions:

[0005] In a first aspect, the present application provides a global-regional climate two-way coupling optimization method, including:

[0006] Step S101, constructing a global climate model and a regional ocean-atmosphere coupling model;

[0007] Step S102, obtaining the geographical location information of the target region in the global climate model, and determining the target position of the boundary field of the target region in the global climate model according to the geographical location information;

[0008] Step S103, obtaining the climate information of the global climate model, and obtaining the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target position; the target climate information includes boundary field information and initial field information;

[0009] Step S104, calculating the future climate information of the target region through the regional ocean-atmosphere coupling model by using the boundary field information and initial field information of the target region;

[0010] Step S105, adjusting and optimizing the target climate information in the global climate model in an upscaling manner by using the future climate information of the target region;

[0011] Step S106. Repeatedly execute the above steps S102 to S105 to couple the global climate model and the regional ocean - atmosphere coupling model with each other.

[0012] In one implementation, obtaining the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target location includes:

[0013] Obtain global climate simulation information, perform numerical integration forecasting according to the global climate simulation information to obtain forecasting data, where the forecasting data includes global atmosphere, ocean, sea ice, and land surface information;

[0014] Horizontally interpolate the forecasting data into the grid corresponding to the target region to obtain interpolated data, and obtain the target climate data according to the interpolated data.

[0015] In one implementation, obtaining the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target location includes:

[0016] Through the regional ocean - atmosphere coupling model, adjust the interpolated data in the horizontal and vertical directions to obtain the initial field and the lateral boundary field required for the operation of the regional ocean - atmosphere coupling model;

[0017] Generate the target climate information according to the initial field and the lateral boundary field of the target region.

[0018] In one implementation, calculating the future climate information of the target region by using the initial field information and the boundary field information of the target region includes:

[0019] Use the initial field information and the boundary field information of the target region to calculate the future meteorological element information and the future ocean element information of the target region;

[0020] Generate the future climate information of the target region according to the future meteorological element information and the future ocean element information of the target region.

[0021] In one implementation, adjusting and optimizing the target climate information in the global climate model in an upscaling manner by using the future climate information of the target region includes:

[0022] Perform upscaling processing on the future meteorological element information and the future ocean element information of the target region respectively to obtain upscaled data;

[0023] Use the upscaled data to adjust the atmospheric information and the ocean information corresponding to the target region in the global climate model.

[0024] In a second aspect, the present application provides a global-regional model two-way coupling optimization device, including:

[0025] A construction module, configured to execute step S101 to construct a global climate model and a regional ocean-atmosphere coupling model;

[0026] A first acquisition module, configured to execute step S102 to acquire the geographical location information of a target region in the global climate model, and determine the target position of the boundary field of the target region in the global climate model according to the geographical location information;

[0027] A second acquisition module, configured to execute step S103 to acquire the climate information of the global climate model, and obtain the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target position; the target climate information includes boundary field information and initial field information;

[0028] A calculation module, configured to execute step S104 to calculate, through the regional ocean-atmosphere coupling model, the future climate information of the target region by using the boundary field information and the initial field information of the target region;

[0029] An adjustment module, configured to execute step S105 to adjust and optimize the target climate information in the global climate model in an upscaling manner by using the future climate information of the target region;

[0030] A coupling module, configured to repeatedly execute the steps S102 to S105 to couple the global climate model with the regional ocean-atmosphere coupling model.

[0031] In a third aspect, the present application provides an electronic device, including a memory and at least one processor, the memory stores a computer program, and the processor is configured to execute the computer program to implement the global-regional model two-way coupling optimization method as described in the first aspect.

[0032] In a fourth aspect, the present application provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed, it implements the global-regional model two-way coupling optimization method as described in the first aspect.

[0033] The embodiments of the present invention have the following beneficial effects:

[0034] The present invention uses a global climate model to predict target climate information of a target area, and then through a regional ocean-atmosphere coupling model, uses the target climate information to calculate future climate information of the target area, and reversely adjusts the global climate model through the future climate information. On the one hand, the simulation results of the global climate model can drive a high-resolution regional model to achieve high-resolution simulation of a specific area; on the other hand, the simulation results of the high-resolution regional model can be timely fed back to the global climate model to improve the global climate model's simulation ability for the globe and regions.

[0035] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following specifically gives preferred embodiments and, in conjunction with the accompanying drawings, makes the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0037] Figure 1 Shows a schematic flow diagram of a global-regional climate two-way coupling optimization method;

[0038] Figure 2 Shows a schematic flow diagram of a target climate information acquisition method;

[0039] Figure 3 Shows a schematic flow diagram of a future climate information calculation method;

[0040] Figure 4 Shows a schematic flow diagram of a target area climate information adjustment method;

[0041] Figure 5 Shows a schematic diagram of a global-regional model grid structure;

[0042] Figure 6 Shows a schematic diagram of a global-regional model climate coupling process;

[0043] Figure 7 Shows a schematic diagram of a global-regional model buffer zone;

[0044] Figure 8 Shows a schematic diagram of the framework structure of a global-regional climate two-way coupling optimization device.

[0045] MAIN ELEMENT SYMBOL DESCRIPTION:

[0046] 800. Global-region model two-way coupling optimization device; 801. Construction module; 802. First acquisition module; 803. Second acquisition module; 804. Calculation module; 805. Adjustment module; 806. Coupling module. Detailed implementation manner

[0047] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present invention and should not be construed as limiting the present invention.

[0048] The terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a plurality" means two or more unless otherwise specifically defined.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used in the specification of the template herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0050] Embodiment 1

[0051] See Figure 1 , Figure 1 which is a schematic flow chart of a global-region climate two-way coupling optimization method provided for this embodiment. This method can realize the mutual coupling and feedback between the global climate and the regional climate, and realize the simulation, prediction and evaluation of the global and regional climates. This method includes:

[0052] Step S101. Construct a global climate model and a regional ocean-atmosphere coupling model.

[0053] Specifically, the global climate model can be the Institute of Atmospheric Physics Earth System Model (CAS-ESM). This model is an earth system model developed by the Institute of Atmospheric Physics of the Chinese Academy of Sciences. It consists of sub-system models of each part of the earth system, including the atmospheric circulation sub-system model, the ocean sub-system model, the land surface sub-system model, the atmospheric chemistry and aerosol sub-system model, the vegetation dynamics sub-system model, etc.

[0054] The regional air-sea coupled model can be an air-sea coupled regional model for a high-resolution regional model (WRF) and a high-resolution regional ocean model (ROMS). When running a global climate model, if a global high resolution is adopted, the computational cost is huge; if a low resolution is adopted to reduce the computational cost, it is difficult to depict regional high-resolution information; if the operation results of the global climate model are used to unidirectionally drive the high-resolution regional model (regional air-sea coupled model), although high-resolution information of the area of interest can be obtained, the disadvantage is that the information of the high-resolution regional model cannot be fed back to the global climate model.

[0055] Step S102: Obtain the geographical location information of the target area in the global climate model, and determine the target position of the boundary field of the target area in the global climate model according to the geographical location information.

[0056] Specifically, the globe can be divided into multiple regions geographically. In actual climate prediction and other work, it is also usually predicted and differentiated according to geographical location. Therefore, the target area can be directly obtained according to the global geographical location information. It is also possible to select the target area according to the actual needs of the user from the global geographical location information for subsequent climate prediction and other work.

[0057] Since the climate of a region is not only affected by that region alone, but also by the climate of its surrounding regions. Generally speaking, the closer other regions are to the target area, the greater the impact on the climate of the target area. For example: It is raining in area A. Due to various factors such as air flow and terrain, it will cause area B to rain in one hour. This climate prediction method is quite popular in actual scenarios. Therefore, after determining the geographical location information of the target area, the boundary field needs to be determined according to the target area.

[0058] Step S103: Obtain the climate information of the global climate model, and obtain the target climate information of the target area in the global climate model according to the climate information of the global climate model and the target position; the target climate information includes boundary field information and initial field information.

[0059] See Figure 2 , step S103 includes:

[0060] S1031: Obtain global climate simulation information, perform numerical integration forecasting according to the global climate simulation information, and obtain forecasting data, where the forecasting data includes global atmosphere, ocean, sea ice and land surface information.

[0061] After determining the target area, it is also necessary to determine the climate information of the target area according to the global climate information. Specifically, first obtain the global climate simulation information, perform numerical integration forecasting based on the global climate simulation information to obtain forecast data, and the forecast data includes global atmospheric, oceanic, sea ice, and land surface information. Among them, the global climate simulation information can be directly obtained through an Earth system model (global climate model), and then after integrating the global climate simulation information, the regional climate information of each region in the global climate model can be obtained.

[0062] S1032. Horizontally interpolate the forecast data into the grid corresponding to the target area to obtain interpolation data, and obtain the target climate data according to the interpolation data.

[0063] Through the regional air-sea coupling model, adjust the interpolation data in the horizontal and vertical directions to obtain the initial field and side boundary field required for the operation of the regional air-sea coupling model.

[0064] Specifically, according to the target location, initialize the regional climate information corresponding to the target area to generate information such as the initial field and boundary field of the target area. Among them, the boundary field information includes the climate information of the adjacent areas adjacent to the target area.

[0065] Then generate the target climate information according to the initial field and side boundary field of the target area.

[0066] Specifically, while initializing the climate information of the target area, generate basic data such as the grid, terrain, vegetation, land use type, and albedo of the target area. The regional grid includes the longitude and latitude of the grid points, the map projection coefficient, the Coriolis force coefficient, etc. Then horizontally interpolate the initialized climate information of the target area into the grid corresponding to the target area to generate regional model terrain data. Then interpolate the observed vegetation, land use type, albedo and other data onto the regional grid to generate information such as the underlying surface type field required for the calculation of the regional model physical parameterization scheme. Then obtain the target climate data of the target area according to the underlying surface type field and other information.

[0067] Step S104. Through the regional air-sea coupling model, use the boundary field information and initial field information of the target area to calculate and obtain the future climate information of the target area.

[0068] See Figure 3 , step S104 includes:

[0069] S1041. Use the initial field information and the boundary field information of the target area to calculate the future meteorological element information and future ocean element information of the target area.

[0070] Specifically, the regional ocean-atmosphere coupling model includes a regional ocean model and a regional atmosphere model. The regional ocean model exchanges data with the regional atmosphere model through the coupler CPL7, obtains the atmospheric initial field, and transmits the underlying surface information to the regional atmosphere model to achieve the coupling of the two. The two use the initial field information and the boundary field information of the target region to calculate the future meteorological element information and future ocean element information of the target region respectively.

[0071] S1042. Generate the future climate information of the target region according to the future meteorological element information and the future ocean element information of the target region.

[0072] Then, the regional ocean-atmosphere coupling model uses the future meteorological element information and the future ocean element information of the target region to predict the future climate of the target region and obtains the future climate information.

[0073] Step S105. Use the future climate information of the target region to adjust and optimize the target climate information in the global climate model through an upscaling method.

[0074] See Figure 4 , step S105 includes:

[0075] S1051. Perform upscaling processing on the future meteorological element information and the future ocean element information of the target region respectively to obtain upscaled data.

[0076] Spatially, since the resolution of the regional ocean-atmosphere coupling model is higher than that of the global climate model, similar to Figure 5 , one global climate model grid (thick black frame) covers multiple regional ocean-atmosphere coupling model grids (shaded grids). Therefore, an area-conserving interpolation method is used to aggregate the upscaled variables.

[0077] Specifically, let be the variable value of the th grid of the global climate model, be the variable value of the th grid of the regional ocean-atmosphere coupling model covered by the global climate model grid, be the partial derivative of the variable value of the th grid of the regional ocean-atmosphere coupling model covered by the global climate model grid with respect to latitude, be the partial derivative of the variable value of the th grid of the regional ocean-atmosphere coupling model covered by the global climate model grid with respect to longitude, be the latitude, be the longitude, then:

[0078]

[0079]

[0080]

[0081]

[0082] Among them, is the grid point area, is the area ratio, is the meridional gradient, is the zonal gradient.

[0083] Secondly, on the time axis, the integration time step of the regional ocean-atmosphere coupled model is much shorter than that of the global climate model. The upscaling process goes through the following steps, as Figure 6 shown. First of all, it should be emphasized that the regional ocean-atmosphere coupled model stores the state variables of the global climate model After integration to obtain and the trend term . Secondly, after the regional ocean-atmosphere coupled model obtains the and of the global climate model and provides the lateral boundary or initial values to the regional ocean-atmosphere coupled model , integrate to successively obtain the state variables , ……, , the trend terms , ……, . Among them, accumulate the trend terms . Then, , (in the buffer zone) and , update the global climate model to obtain and (upscaling). Repeat this process until the integration ends.

[0084] At the same time, a buffer zone is set in the overlapping area of the global climate model and the regional ocean-atmosphere coupled model to mitigate the impact of the feedback of the regional ocean-atmosphere coupled model on the global climate model (as Figure 7 shown). The square grid lines in the figure are the IAPAGCM grids, and the curvilinear grids are the grids of the regional ocean-atmosphere coupled model. The gray blocks are the buffer zones, which are the areas where the regional ocean-atmosphere coupled model does not fully cover the IAP grid points. In the buffer zone, relaxation iteration is used, that is, the IAP variable and the quantity interpolated from the regional ocean-atmosphere coupled model at the IAP grid points to obtain the upscaled IAP variable 。In the internal region, the state variables and tendency variables obtained by integrating the regional air-sea coupled model are used to replace the corresponding state variables and tendency variables of IAPAGCM. For tendency variables, in addition to interpolation, accumulation within the coupling period is also required. Area-conserving interpolation can ensure accurate interpolation for both fully and partially covered grid points.

[0085] S1052. Use the upscaled data to adjust the atmospheric information and ocean information corresponding to the target region in the global climate model.

[0086] The future meteorological element information and future ocean element information of the target region are respectively upscaled to obtain upscaled data, which is the future climate data corresponding to the target region in the global climate model. Using this upscaled data, the future climate data corresponding to the target region of the global climate model itself is further adjusted and optimized to further improve the prediction accuracy of the global climate model, enabling the climate data of the regional model to act on the global climate model in reverse.

[0087] Step S106. Repeat steps S102 to S105 to couple the global climate model with the regional air-sea coupled model.

[0088] After the regional air-sea coupled model integrates for one coupling period, it pauses, outputs the integration result to the global climate model, waits for the global climate model to complete one coupling period of integration, obtains new data from the global climate model, and starts the integration of the next coupling period. The loop integration is performed in sequence to couple the global climate model with the regional air-sea coupled model, ultimately enabling the climate prediction accuracies of both the global climate model and the regional air-sea coupled model to reach the preset values.

[0089] Embodiment 2

[0090] See Figure 8 , this application also provides a global-regional model two-way coupling optimization device 800, which includes:

[0091] A construction module 801 for performing step S101 to construct a global climate model and a regional air-sea coupled model;

[0092] A first acquisition module 802 for performing step S102 to acquire the geographical location information of the target region in the global climate model, and determining the target position of the boundary field of the target region in the global climate model according to the geographical location information;

[0093] The second acquisition module 803 is configured to perform step S103, acquire the climate information of the global climate model, and obtain the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target location; the target climate information includes boundary field information and initial field information;

[0094] The calculation module 804 is configured to perform step S104, calculate and obtain the future climate information of the target region by using the boundary field information and the initial field information of the target region through the regional ocean-atmosphere coupled model;

[0095] The adjustment module 805 is configured to perform step S105, and adjust and optimize the target climate information in the global climate model in an upscaling manner by using the future climate information of the target region;

[0096] The coupling module 806 is configured to repeatedly execute the steps S102 to S105 to couple the global climate model with the regional ocean-atmosphere coupled model.

[0097] It can be understood that the implementation manners in the global-regional model two-way coupling optimization method described in the above Embodiment 1 are equally applicable to this embodiment, so they will not be repeated here.

[0098] Embodiment 3

[0099] The embodiment of the present application further provides a computer device. For example, the computer device may but is not limited to be a desktop computer, a notebook, etc., and its form of existence is not limited, mainly depending on whether it needs to support the interface display function of a browser web page, etc. Exemplarily, the computer device includes a memory and at least one processor, the memory stores a computer program, and the processor is configured to execute the computer program to implement the global-regional model two-way coupling optimization method described in the above Embodiment 1.

[0100] Among them, the processor may be an integrated circuit chip with signal processing capabilities. The processor may be a general-purpose processor, including a central processing unit (CPU), a graphics processing unit (GPU), a network processor (NP), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc., which can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application.

[0101] Among them, the memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electric Erasable Programmable Read-Only Memory (EEPROM), etc. Among them, the memory is used to store a computer program, and after receiving an execution instruction, the processor can execute the computer program accordingly.

[0102] Furthermore, the memory may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device (such as iterative data, version data, etc.). In addition, the memory may include high-speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0103] Embodiment 4

[0104] The embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and run by a processor, the computer-executable instructions cause the processor to run the global-region mode two-way coupling optimization method described in Embodiment 1 above.

[0105] It can be understood that the implementation manners in the global-region mode two-way coupling optimization method described in Embodiment 1 above are equally applicable to this embodiment, so they will not be repeated here.

[0106] The computer-readable storage medium can be either a non-volatile storage medium or a volatile storage medium. For example, the computer-readable storage medium may include, but is not limited to: USB flash drives, external hard drives, Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disks, or optical discs and other media that can store program codes.

[0107] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architectures, functions, and operations of the devices, methods, and computer program products according to multiple embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of the code, and the module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in an alternative implementation, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the structure diagram and / or flowchart, as well as the combination of blocks in the structure diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0108] In addition, each functional module or unit in various embodiments of the present application may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

[0109] If the above-mentioned function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0110] As described above, the above are only the specific implementation manners of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application.

[0111] In all examples shown and described herein, any specific values should be construed as merely exemplary and not as a limitation. Thus, other examples of the exemplary embodiments may have different values.

[0112] It should be noted that like reference numerals and letters refer to like items in the following figures. Thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

[0113] The above-described embodiments merely represent several implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the scope of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention.

Claims

1. Global-regional model two-way coupling optimization method, characterized in that Including: Step S101, constructing a global climate model and a regional ocean - atmosphere coupled model; Step S102, obtaining the geographical location information of the target region in the global climate model, and determining the target position of the boundary field of the target region in the global climate model according to the geographical location information; Step S103, obtaining the climate information of the global climate model, and obtaining the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target position; the target climate information includes boundary field information and initial field information; Step S104, through the regional ocean - atmosphere coupled model, using the boundary field information and initial field information of the target region, calculating to obtain the future climate information of the target region; Step S105, using the future climate information of the target region, adjusting and optimizing the target climate information in the global climate model by an upscaling method; Step S106, repeatedly executing Step S102 to Step S105 to couple the global climate model and the regional ocean - atmosphere coupled model with each other; The obtaining the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target position includes: Obtaining global climate simulation information, performing numerical integration forecasting according to the global climate simulation information to obtain forecast data, and the forecast data includes global atmosphere, ocean, sea ice and land surface information; Horizontally interpolating the forecast data into the grid corresponding to the target region to obtain interpolated data, and obtaining the target climate information according to the interpolated data; Let be the variable value of the k-th grid of the global climate model, be the variable value of the n-th grid of the regional ocean-atmosphere coupling model covered by the grid of the global climate model, is the partial derivative with respect to latitude of the variable value of the n-th grid of the regional ocean-atmosphere coupling model covered by the grid of the global climate model, is the partial derivative with respect to longitude of the variable value of the n-th grid of the regional ocean-atmosphere coupling model covered by the grid of the global climate model, θ is latitude, and φ is longitude, then: Among them, A is the lattice area, w 1nk is the area ratio, w 2nk is the meridional gradient, w 3nk is the zonal gradient; The calculating to obtain the future climate information of the target region by using the boundary field information and initial field information of the target region includes: Using the initial field information and the boundary field information of the target region to calculate the future meteorological element information and future ocean element information of the target region; Generating the future climate information of the target region according to the future meteorological element information and the future ocean element information of the target region; The adjusting and optimizing the target climate information in the global climate model by an upscaling method by using the future climate information of the target region includes: Performing upscaling processing on the future meteorological element information of the target region and the future ocean element information of the target region respectively to obtain upscaled data; Using the upscaled data to adjust the atmospheric information and ocean information corresponding to the target region in the global climate model; The upscaling method includes: the regional ocean-atmosphere coupled model stores the global climate model state variable Ψ t Integrate over Δt to obtain Ψ' t+Δt And the trend term ΔΘ', the regional ocean-atmosphere coupled model obtains Ψ of the global climate model t And Ψ' t+ΔT Give the regional ocean-atmosphere coupled model After providing the lateral boundary or initial value, integrate Successively obtain the state variable Trend term dx t1 , ……, dθ t+tn , where, accumulate the trend term dθ = dθ t1 +dθ t2 +dθ t3 +dθ t4 +dθ t+tn , Ψ' t+ΔT , use ΔΘ' and dθ to update the global climate model, obtain Ψ t+ΔT And ΔΘ, and so on in a cycle until the integration ends; Set a buffer zone in the overlapping area of the global climate model and the regional ocean-atmosphere coupled model to mitigate the impact of the feedback of the regional ocean-atmosphere coupled model on the global climate model. Use relaxation iteration in the buffer zone, that is, the IAP variable ψ′ and the quantity obtained by interpolating the regional ocean-atmosphere coupled model at the IAP grid points Obtain the upscaled IAP variables In the internal area, the state variables and tendency variables obtained by integrating the regional ocean-atmosphere coupled model replace the corresponding state variables and tendency variables of the IAP AGCM; for the tendency variables, in addition to interpolation, the accumulation within the coupling period is also required.

2. The global-region model two-way coupling optimization method according to claim 1, wherein The obtaining the target climate information of the target region in the global climate model according to the climate information of the global climate model and the target position includes: Through the regional ocean - atmosphere coupled model, horizontally and vertically adjusting the interpolated data to obtain the initial field and side boundary field required for the operation of the regional ocean - atmosphere coupled model; Generating the target climate information according to the initial field and side boundary field of the target region.

3. Global-regional mode two-way coupling optimization device, characterized in that, Including: A construction module, configured to execute Step S101, constructing a global climate model and a regional ocean - atmosphere coupled model; The first acquisition module is configured to execute step S102, acquire the geographical location information of the target area in the global climate model, and determine the target position of the boundary field of the target area in the global climate model according to the geographical location information; The second acquisition module is configured to execute step S103, acquire the climate information of the global climate model, and obtain the target climate information of the target area in the global climate model according to the climate information of the global climate model and the target position; the target climate information includes boundary field information and initial field information; The calculation module is configured to execute step S104, and calculate the future climate information of the target area by using the boundary field information and the initial field information of the target area through the regional air-sea coupling model; The adjustment module is configured to execute step S105, and adjust and optimize the target climate information in the global climate model in an upscaling manner by using the future climate information of the target area; The coupling module is configured to execute step S106, and repeatedly execute the steps S102 to S105 to couple the global climate model with the regional air-sea coupling model; The obtaining the target climate information of the target area in the global climate model according to the climate information of the global climate model and the target position includes: Acquire global climate simulation information, perform numerical integration forecasting according to the global climate simulation information to obtain forecasting data, where the forecasting data includes global atmosphere, ocean, sea ice, and land surface information; Horizontally interpolate the forecasting data into the grid corresponding to the target area to obtain interpolated data, and obtain the target climate information according to the interpolated data; Let be the variable value of the k-th grid of the global climate model, be the variable value of the n-th grid of the regional ocean-atmosphere coupling model covered by the grid of the global climate model, be the partial derivative with respect to latitude of the variable value of the n-th grid of the regional ocean-atmosphere coupling model covered by the grid of the global climate model, be the partial derivative with respect to longitude of the variable value of the n-th grid of the regional ocean-atmosphere coupling model covered by the grid of the global climate model, θ is latitude, and φ is longitude, then: Among them, A is the lattice area, w 1nk is the area ratio, w 2nk is the meridional gradient, w 3nk is the zonal gradient; The calculating the future climate information of the target area by using the boundary field information and the initial field information of the target area includes: Calculate the future meteorological element information and future ocean element information of the target area by using the initial field information and the boundary field information of the target area; Generate the future climate information of the target area according to the future meteorological element information and the future ocean element information of the target area; The adjusting and optimizing the target climate information in the global climate model in an upscaling manner by using the future climate information of the target area includes: Perform upscaling processing on the future meteorological element information and the future ocean element information of the target area respectively to obtain upscaled data; Adjust the atmospheric information and ocean information corresponding to the target area in the global climate model by using the upscaled data; The upscaling method includes: the regional ocean - atmosphere coupled model stores the state variable Ψ of the global climate model t Integrating over Δt to obtain Ψ' t+Δt And the trend term ΔΘ', the regional ocean - atmosphere coupled model obtains Ψ of the global climate model t And Ψ' t+ΔT After providing the lateral boundary or initial values to the regional ocean - atmosphere coupled model Integrate successively to obtain the state variable The trend term dθ ......, dθ t1 ......, dθ t+tn Among them, the cumulative trend term dθ = dθ t1 + dθ t2 + dθ t3 + dθ t4 + dθ t+tn , Ψ' t+ΔT , Use ΔΘ' and dθ to update the global climate model to obtain Ψ t+ΔT And ΔΘ, and so on in a cycle until the integration ends; Set a buffer zone in the overlapping area of the global climate model and the regional ocean-atmosphere coupled model to mitigate the impact of the feedback of the regional ocean-atmosphere coupled model on the global climate model. In the buffer zone, use relaxation iteration, that is, the IAP variable ψ′ and the quantity obtained by interpolating the regional ocean-atmosphere coupled model at the IAP grid points Obtain the upscaled IAP variables In the internal region, the state variables and trend variables obtained by integrating the regional ocean-atmosphere coupled model replace the corresponding state variables and trend variables of the IAP AGCM; for the trend variables, in addition to interpolation, accumulation within the coupling period is also required.

4. An electronic device, characterized in that, It includes a memory and at least one processor, the memory stores a computer program, and the processor is configured to execute the computer program to implement the global-regional model two-way coupling optimization method according to any one of claims 1 to 2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and when the computer program is executed, it implements the global-regional model two-way coupling optimization method according to any one of claims 1 to 2.

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