Method and system for separating relative contribution of atmospheric ocean process to evaporation waveguide

Abstract

The invention discloses a method and system for separating relative contribution of an atmospheric ocean process to an evaporation waveguide, and the method comprises the steps: carrying out the preprocessing of an input meteorological ocean parameter data set, so as to obtain the height disturbance of the evaporation waveguide under the influence of each meteorological ocean parameter, evaporation waveguide height disturbance under the influence of the atmospheric process and the ocean process is avoided; determining a dominant parameter of evaporation waveguide height disturbance in meteorological ocean parameters and a dominant process in an atmospheric process and an ocean process by using a relative weight method; in combination with physical processes influencing dominant parameter changes, dominant parameter disturbances under the influence of the physical processes are separated by using a Taylor deconvolution method, and relative contributions of the physical processes to the dominant parameter disturbances are determined by using a relative weight method. The invention aims to separate relative contributions of meteorological ocean parameters influencing the evaporation waveguide change under the simultaneous action of the atmosphere and the ocean process, and analyze and determine the influence of each process on the evaporation waveguide change under the air-air interaction.

Description

Technical Field

[0001] The present invention relates to the field of research on evaporation ducts under the coupling of atmospheric and oceanic processes, and particularly to a method and system for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts. Background Art

[0002] An evaporation duct is a special atmospheric duct existing over the sea. Since the evaporation duct can affect the propagation of electromagnetic waves, the detection accuracy and detection range of radar, it has received extensive attention. The formation of the evaporation duct is mainly due to the evaporation of seawater, which causes the water vapor content in the air to rapidly decrease from the saturated state near the sea surface to the ambient value with the increase of height, so that the vertical distribution of the atmospheric refractive index satisfies a specific form. Therefore, atmospheric and oceanic processes at various scales can affect the temperature and humidity distribution of the air-sea boundary layer through interaction, and then cause horizontal variability of the evaporation duct height. Based on this, studying the effects of atmospheric and oceanic processes on the evaporation duct respectively when they are coupled is of great significance for us to understand the properties of evaporation ducts in similar ocean environments and improve the detection performance of communication systems such as shipborne radars.

[0003] With the progress of various observation means, the air-sea interaction and its feedback mechanism related to atmospheric and oceanic processes at different scales have been continuously studied in depth. However, there is still insufficient understanding of the response of evaporation ducts to different atmospheric and oceanic processes. Existing research on the response of evaporation ducts to atmospheric and oceanic processes mainly focuses on single atmospheric or oceanic processes. For example, numerical simulation-based techniques are used to study the evaporation duct distribution caused by turbulence, or reanalysis data or observational data are used to investigate the horizontal variability of evaporation ducts under the occurrence of typhoons or ocean fronts. Since these studies focus on a specific atmospheric or oceanic process, other atmospheric and oceanic processes occurring at the same time are often regarded as interference signals and filtered, which poses a risk of human error and affects the accuracy and reliability of the understanding of evaporation duct changes. Summary of the Invention

[0004] The technical problem to be solved by the present invention: Aiming at the above problems of the prior art, a method and system for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts are provided. The present invention aims to separate the relative contributions of meteorological and oceanographic parameters that affect the changes of evaporation ducts under the simultaneous action of atmospheric and oceanic processes, and analyze and determine the effects of each process on the changes of evaporation ducts under air-sea interaction.

[0005] To solve the above technical problems, the technical solution adopted by the present invention is as follows: A method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts, comprising the following steps: Dividing a specified time into different action periods according to the types of atmospheric and oceanic processes received in a specified area; Obtain meteorological and oceanographic parameters in a specified area within a specified time from the input meteorological and oceanographic parameter dataset, calculate the evaporation duct height at each location in the specified area using a preset evaporation duct diagnostic model to obtain an evaporation duct height dataset, and calculate the evaporation duct height perturbation under the influence of each meteorological and oceanographic parameter in each action period using the Taylor deconvolution method in combination with the evaporation duct height dataset; Average the meteorological and oceanographic parameters for the input meteorological and oceanographic parameter dataset, and calculate the evaporation duct height at each location in the specified area under the influence of atmospheric processes and oceanic processes using a preset evaporation duct diagnostic model; Apply high-pass filtering to the meteorological and oceanographic parameters to obtain a meteorological and oceanographic parameter perturbation dataset; apply high-pass filtering to the evaporation duct height under the influence of atmospheric processes and oceanic processes to obtain the evaporation duct height perturbation under the influence of atmospheric processes and oceanic processes; According to the evaporation duct height perturbation under the influence of each meteorological and oceanographic parameter, use the relative weight method to determine the dominant parameter of the evaporation duct height perturbation among the meteorological and oceanographic parameters; according to the evaporation duct height perturbation under the influence of atmospheric processes and oceanic processes, use the relative weight method to determine the dominant process among atmospheric processes and oceanic processes in each action period; Combined with the three physical processes of evaporation, advection, and divergence flow that affect the change of the dominant parameter, use the Taylor deconvolution method to separate the dominant parameter perturbation under the influence of each physical process, and use the relative weight method to determine the relative contribution of each physical process to the dominant parameter perturbation.

[0006] Optionally, the meteorological and oceanographic parameters include sea surface temperature , air temperature , relative humidity , wind speed and sea surface pressure .

[0007] Optionally, the function expression for calculating the evaporation duct height perturbation under the influence of each meteorological and oceanographic parameter in each action period using the Taylor deconvolution method in combination with the evaporation duct height dataset is: , , , , , , In the above formula, is the evaporation duct height perturbation under the influence of sea surface temperature , is the evaporation duct height perturbation under the influence of air temperature Evaporation duct height perturbation under the influence of is the relative humidity Evaporation duct height perturbation under the influence of is the wind speed Evaporation duct height perturbation under the influence of is the sea surface air pressure Evaporation duct height perturbation under the influence of is the evaporation duct height perturbation under the influence of all meteorological and oceanographic parameters; is the evaporation duct height 、 、 、 and are the perturbations of sea surface temperature 、air temperature 、relative humidity 、wind speed and sea surface air pressure in the meteorological and oceanographic parameter perturbation dataset respectively, is the residual term.

[0008] Optionally, the method for averaging meteorological and oceanographic parameters for the input meteorological and oceanographic parameter dataset and calculating the evaporation duct height at each position in a specified area under the influence of atmospheric processes and oceanographic processes includes: calculating the average values for sea surface temperature 、air temperature 、relative humidity 、wind speed and sea surface air pressure to obtain the averaged sea surface temperature 、air temperature 、relative humidity 、wind speed and sea surface air pressure ; inputting the averaged air temperature 、relative humidity 、sea surface air pressure and wind speed as well as the original sea surface temperature into a preset evaporation duct diagnostic model to obtain the evaporation duct height under the influence of oceanographic processes; inputting the averaged sea surface temperature and the original air temperature 、relative humidity 、sea surface air pressure and wind speed into a preset evaporation duct diagnostic model to obtain the evaporation duct height under the influence of atmospheric processes.

[0009] Optionally, the application of high-pass filtering to the meteorological and oceanographic parameters to obtain a meteorological and oceanographic parameter perturbation dataset includes: for each meteorological and oceanographic parameter, performing high-pass filtering on the meteorological and oceanographic parameter in a specified direction using a moving average window with a specified cut-off length to obtain a moving average value, and subtracting the moving average value from the original value of the input data to obtain a meteorological and oceanographic parameter perturbation, thereby obtaining a meteorological and oceanographic parameter dataset; the application of high-pass filtering to the evaporation duct height affected by atmospheric processes and oceanic processes to obtain the evaporation duct height perturbation affected by atmospheric processes and oceanic processes includes: performing high-pass filtering on the evaporation duct height affected by atmospheric processes or oceanic processes in a specified direction using a moving average window with a specified cut-off length to obtain a moving average value, and subtracting the moving average value from the original value of the input data to obtain the evaporation duct height perturbation affected by atmospheric processes and oceanic processes.

[0010] Optionally, when determining the dominant parameter of the evaporation duct height perturbation among the meteorological and oceanographic parameters using the relative weight method, the determined dominant parameter is relative humidity , the combination of the three physical processes of evaporation, advection, and divergence flow that affect the change of the dominant parameter, using the Taylor deconvolution method to separate the dominant parameter perturbations under the influence of each physical process, and using the relative weight method to determine the relative contribution of each physical process to the dominant parameter perturbation includes: For the three physical processes of evaporation, advection, and divergence flow that affect relative humidity , establish a water vapor equation as shown below to describe the quantitative influence of each physical process on relative humidity : , , , where is the precipitation term, is the evaporation term, is the acceleration due to gravity, is the surface seawater density, is the time, is the air pressure at the reference height, is the specific humidity of the near-surface atmosphere, is the air pressure, is the Hamiltonian operator, is the horizontal wind speed vector, is the saturation specific humidity at the sea surface, is the horizontal wind speed vector at the reference height, is the latent heat flux, is the latent heat of evaporation, is the air density, is the moisture exchange coefficient, is the horizontal wind speed; the Taylor deconvolution method is used to separate the perturbations of relative humidity under the influence of each physical process ; the relative weight method is used to determine the relative contributions of each physical process to the perturbations of relative humidity .

[0011] Optionally, the functional expression for using the Taylor deconvolution method to separate the perturbations of relative humidity under the influence of each physical process is: , , , , wherein, is the perturbation of relative humidity under the influence of the evaporation term , is the perturbation of relative humidity under the influence of the advection term , is the perturbation of relative humidity under the influence of the divergence flow term , is the perturbation of relative humidity under the influence of all physical processes is the relative humidity is the evaporation term is the perturbation of the evaporation term , is the perturbation of the advection term , is the perturbation of the divergence flow term , is the residual term

[0012] In addition, the present invention also provides a system for separating the relative contributions of atmospheric and oceanic processes to an evaporation duct, including a microprocessor and a memory connected to each other, and the microprocessor is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to an evaporation duct

[0013] In addition, the present invention also provides a computer-readable storage medium, in which a computer program or instruction is stored, and the computer program or instruction is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to an evaporation duct through a processor

[0014] In addition, the present invention also provides a computer program product, including a computer program or instruction, and the computer program or instruction is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to an evaporation duct through a processor

[0015] Compared with the prior art, the present invention mainly has the following advantages: The present invention includes obtaining meteorological and oceanographic parameters of a specified area within a specified time according to the input observation data set; using an evaporation duct diagnosis model for the meteorological parameters to obtain the evaporation duct height at the corresponding time and position; performing high-pass filtering on the evaporation duct height and the meteorological and oceanographic parameters to obtain the corresponding perturbation signals; separating the relative contributions of different meteorological and oceanographic parameters to the evaporation duct and different processes to the dominant factors according to the Taylor deconvolution method and the relative weight method. Based on the observation data set, the present invention uses methods such as an evaporation duct diagnosis model, the Taylor deconvolution method, and the relative weight method to separate the relative contributions to the evaporation duct under the simultaneous action of different atmospheric and oceanic processes, providing a research idea for separating the effects of each process on the evaporation duct under the coupling of different atmospheric and oceanic processes, and providing a theoretical support for studying the variability characteristics of the evaporation duct under air-sea interaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the basic process of the method according to an embodiment of the present invention.

[0017] Figure 2 It is the sea surface height anomaly background field near the specified area on August 21, 2023 in an embodiment of the present invention.

[0018] Figure 3 It is a distribution map of the evaporation duct change under the influence of each meteorological and oceanographic parameter of different atmospheric and oceanic processes in an embodiment of the present invention, where (a1), (b1), (c1), (d1), (e1) and (f1) are the evaporation duct change distribution maps under the influence of all meteorological and oceanographic parameters and sea surface temperature , air temperature , relative humidity , wind speed , sea surface pressure separately; (a2), (b2), (c2), (d2), (e2) and (f2) are the evaporation duct change distribution maps under the influence of all meteorological and oceanographic parameters and sea surface temperature , air temperature , relative humidity , wind speed , sea surface pressure separately during the anti-cyclone-ocean front period; (a3), (b3), (c3), (d3), (e3) and (f3) are the evaporation duct change distribution maps under the influence of all meteorological and oceanographic parameters and sea surface temperature , air temperature , relative humidity , wind speed , sea surface pressure separately during the ocean front period.

[0019] Figure 4 For the relative weights of each meteorological and oceanographic parameter and the atmospheric and oceanic processes in the process of affecting the change of evaporation duct in the embodiments of the present invention, where (a) are the relative weights of each meteorological and oceanographic parameter in the process of affecting the change of evaporation duct in three atmospheric and oceanic processes during the cyclone-ocean front period, the anti-cyclone-ocean front period, and the ocean front period respectively, and (b) are the relative weights of two types of meteorological and oceanographic parameters, namely the atmosphere and the ocean, in the process of affecting the change of evaporation duct in three atmospheric and oceanic processes during the cyclone-ocean front period, the anti-cyclone-ocean front period, and the ocean front period respectively.

[0020] Figure 5 For the distribution map of the relative humidity change affected by each meteorological and oceanographic parameter in different atmospheric and oceanic processes in the embodiments of the present invention, where (a1), (b1), (c1), and (d1) are the relative humidity perturbations, evaporation terms affecting the relative humidity perturbation, advection term affecting the relative humidity perturbation, divergence flow term affecting the relative humidity perturbation distribution map; (a2), (b2), (c2), and (d2) are the relative humidity perturbations, evaporation terms affecting the relative humidity perturbation, advection term affecting the relative humidity perturbation, divergence flow term affecting the relative humidity perturbation distribution map; (a3), (b3), (c3), and (d3) are the relative humidity perturbations, evaporation terms affecting the relative humidity perturbation, advection term affecting the relative humidity perturbation, divergence flow term affecting the relative humidity perturbation distribution map. Detailed implementation manners

[0021] In order to enable those skilled in the art of the present technology to better understand the technical solutions of the present invention, the technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0022] As Figure 1 shown, the method for separating the relative contributions of atmospheric and oceanic processes to evaporation duct in this embodiment includes the following steps: S1. Preprocessing of data, including: dividing the specified time into different action periods according to the types of atmospheric processes and oceanic processes in the specified area; obtaining the meteorological and oceanographic parameters of the specified area within the specified time from the input meteorological and oceanographic parameter dataset, calculating the evaporation duct height at each position in the specified area using a preset evaporation duct diagnostic model to obtain an evaporation duct height dataset, and calculating the evaporation duct height perturbation under the influence of each meteorological and oceanographic parameter in each action period using the Taylor deconvolution method in combination with the evaporation duct height dataset; averaging the meteorological and oceanographic parameters for the input meteorological and oceanographic parameter dataset, and calculating the evaporation duct height at each position in the specified area under the influence of atmospheric processes and oceanic processes using a preset evaporation duct diagnostic model; applying a high-pass filter to the meteorological and oceanographic parameters to obtain a meteorological and oceanographic parameter perturbation dataset; applying a high-pass filter to the evaporation duct height under the influence of atmospheric processes and oceanic processes to obtain an evaporation duct height perturbation under the influence of atmospheric processes and oceanic processes. S2. Determining the dominant factor and atmospheric and oceanic processes: According to the evaporation duct height perturbation under the influence of each meteorological and oceanographic parameter, using the relative weight method to determine the dominant parameter of the evaporation duct height perturbation among the meteorological and oceanographic parameters; according to the evaporation duct height perturbation under the influence of atmospheric processes and oceanic processes, using the relative weight method to determine the dominant process among atmospheric processes and oceanic processes in each action period. S3. Determining the relative contributions of each physical process: Combining the three physical processes of evaporation, advection, and divergence flow that affect the change of the dominant parameter, using the Taylor deconvolution method to separate the dominant parameter perturbation under the influence of each physical process, and using the relative weight method to determine the relative contribution of each physical process to the dominant parameter perturbation.

[0023] The method for separating the relative contributions of atmospheric and oceanic processes to the evaporation duct in this embodiment mainly includes four steps, namely, preprocessing of data (step S1), determining the dominant factor and atmospheric and oceanic processes (step S2), and determining the relative contributions of each physical process (step S3). The above steps will be further described in detail below.

[0024] In step S1 of this embodiment, when dividing the specified time into different action periods according to the types of atmospheric processes and oceanic processes in the specified area, an investigation and analysis are carried out based on a temperate cyclone and a temperate anticyclone passing over a mesoscale oceanic front. The research area (43.0°N–43.8°N, 149.88°E–150.02°E) where the mesoscale oceanic front is located is at the junction of anticyclonic vortices and cyclonic vortices in the Kuroshio–Oyashio confluence area, as Figure 2As shown by the medium rectangular box. According to the types of atmospheric processes and oceanic processes in the study area during different periods, the study stages are divided into the period of temperate cyclone - ocean front interaction (abbreviated as the cyclone - ocean front period), the period of temperate anticyclone - ocean front interaction (abbreviated as the anticyclone - ocean front period), and the period of ocean front interaction (abbreviated as the ocean front period).

[0025] In step S1 of this embodiment, when obtaining the meteorological and oceanographic parameters of a specified area within a specified time from the input meteorological and oceanographic parameter dataset, the meteorological and oceanographic parameters include sea surface temperature , air temperature , relative humidity , wind speed and sea surface pressure . Specifically, in this embodiment, the air temperature selects the air temperature at 18 m, the relative humidity selects the relative humidity at 18 m, the wind speed selects the wind speed at 12 m, and the sea surface temperature , air temperature , relative humidity , wind speed and sea surface pressure all come from high-precision sensors installed on ships, with a time resolution of 3 s and a spatial resolution of approximately 30 m.

[0026] In step S1 of this embodiment, when calculating the evaporation duct height at each position in the specified area using the preset evaporation duct diagnostic model to obtain the evaporation duct height dataset, the required evaporation duct diagnostic model can be adopted as needed. For example, as an optional implementation manner, the preset evaporation duct diagnostic model adopted in this embodiment is the NPS evaporation duct diagnostic model (see the literature: FREDERICKSON P A, DAVIDSON K L, GOROCH A K. Operational bulk evaporation duct model for MORIAH, Version 1.2 [Z]. 2000: 93943 - 5114). The main difference between it and other evaporation duct models is that the NPS evaporation duct diagnostic model first obtains the profiles of temperature, humidity, and air pressure, then calculates the evaporation duct atmospheric refractive index profile based on the relationship between the atmospheric refractive index and temperature, humidity, and atmospheric pressure, and then determines the evaporation duct height at each position in the specified area based on the position of the minimum modified refractive index.

[0027] In step S1 of this embodiment, the function expression for calculating the evaporation duct height perturbation under the influence of each meteorological and oceanographic parameter in each action period using the Taylor deconvolution method in combination with the evaporation duct height dataset is: , , , , , , In the above formula, is the sea surface temperature induced evaporation duct height perturbation, is the air temperature induced evaporation duct height perturbation, is the relative humidity induced evaporation duct height perturbation, is the wind speed induced evaporation duct height perturbation, is the sea surface pressure induced evaporation duct height perturbation, is the evaporation duct height perturbation under the influence of all meteorological and oceanographic parameters; is the evaporation duct height, , , , and are the perturbations of the sea surface temperature , air temperature , relative humidity , wind speed and sea surface pressure in the meteorological and oceanographic parameter perturbation dataset respectively, is the residual term. In this embodiment, the changes of the evaporation duct under the influence of each meteorological and oceanographic parameter are as shown in Figure 3 . It can be seen from Figure 3 that the evaporation duct perturbation under the influence of the relative humidity is relatively close to the perturbation of the original evaporation duct height. During the cyclone-ocean front period, the anti-cyclone-ocean front period, and the ocean front period, their change ranges reach 6.0 m, 6.2 m, and 3.7 m respectively. Secondly, the factors affecting the evaporation duct height perturbation are the sea surface temperature and the air temperature . The contributions of the sea surface pressure and the wind speed are relatively small.

[0028] In step S1 of this embodiment, for the input meteorological and oceanographic parameter dataset, the meteorological and oceanographic parameters are averaged, and the evaporation duct height at each position in the specified area under the influence of the atmospheric process and the ocean process is calculated by using the preset evaporation duct diagnosis model, including: for the sea surface temperature , air temperature , relative humidity , wind speed and sea surface pressure Calculate the average value to obtain the averaged sea surface temperature , air temperature , relative humidity , wind speed and sea surface pressure ; The averaged air temperature , relative humidity , sea surface pressure and wind speed as well as the original sea surface temperature are input into a preset evaporation duct diagnostic model to obtain the evaporation duct height under the influence of ocean processes; The averaged sea surface temperature and the original air temperature , relative humidity , sea surface pressure and wind speed are input into a preset evaporation duct diagnostic model to obtain the evaporation duct height under the influence of atmospheric processes.

[0029] In step S1 of this embodiment, the application of high-pass filtering to meteorological and oceanographic parameters to obtain a meteorological and oceanographic parameter perturbation dataset includes: for each meteorological and oceanographic parameter, performing high-pass filtering on the meteorological and oceanographic parameter in a specified direction using a sliding average window with a specified cut-off length to obtain a sliding average value, and subtracting the sliding average value from the original value of the input data to obtain the meteorological and oceanographic parameter perturbation, thereby obtaining a meteorological and oceanographic parameter dataset; The application of high-pass filtering to the evaporation duct height under the influence of atmospheric processes and ocean processes to obtain the evaporation duct height perturbation under the influence of atmospheric processes and ocean processes includes: performing high-pass filtering on the evaporation duct height under the influence of atmospheric processes or ocean processes in a specified direction using a sliding average window with a specified cut-off length to obtain a sliding average value, and subtracting the sliding average value from the original value of the input data to obtain the evaporation duct height perturbation under the influence of atmospheric processes and ocean processes. As an optional implementation manner, in this embodiment, since the positions of the data points are distributed in an "S" shape along the latitudinal direction, when performing high-pass filtering to obtain the sliding average value, specifically, a sliding average is performed on the observed evaporation duct height and meteorological and oceanographic parameters in the latitudinal direction with a cut-off length of 19 km for the cut-off frequency, and the difference between the original value and the value after sliding average is regarded as the perturbation.

[0030] In step S2 of this embodiment, it includes determining the dominant parameter of the evaporation duct height disturbance among the meteorological and oceanographic parameters according to the evaporation duct height disturbance under the influence of various meteorological and oceanographic parameters by using the relative weight method, and determining the dominant process between the atmospheric process and the oceanic process in each action period according to the evaporation duct height disturbance under the influence of the atmospheric process and the oceanic process by using the relative weight method. Among them, the relative weight method is a well-known method for quantitatively evaluating the relative importance of each factor and the atmospheric or oceanic process in the process of influencing the change of the original evaporation duct, and is used to establish linear regression equations for the orthogonal variables (orthogonal transformation based on the original variable matrix) by the original variables (each meteorological and oceanographic element, the evaporation duct height disturbance under the influence of the atmospheric or oceanic process) and the dependent variable (the original evaporation duct height disturbance) respectively. The relative importance of the independent variable is the product sum of the squares of the two sets of regression coefficients, and the proportion of this relative importance in the coefficient of determination (a statistic for measuring the goodness of fit of the regression model) is the relative weight, that is, the importance of each parameter in the meteorological and oceanographic parameters, and the importance of the atmospheric process or the oceanic process, so as to determine the dominant parameter of the evaporation duct height disturbance among the meteorological and oceanographic parameters, and the dominant process between the atmospheric process and the oceanic process in each action period. Figure 4 The following shows the relative weights (i.e., relative contributions) of each meteorological and oceanographic parameter and the atmospheric and oceanic processes in influencing the change of the evaporation duct during three different action periods of the atmospheric and oceanic processes in this embodiment. It can be seen that the relative humidity is the dominant factor in these three periods, especially in the anti-cyclone - ocean front period, where its relative weight reaches 81.95%, significantly exceeding the other four meteorological and oceanographic parameters. The influence of the atmospheric and oceanic processes is manifested as the atmosphere being dominant in the cyclone - ocean front period, the air-sea interaction being equivalent in the anti-cyclone - ocean front period, and the ocean being dominant in the ocean front period.

[0031] In step S3 of this embodiment, when using the relative weight method to determine the dominant parameter of the evaporation duct height disturbance among the meteorological and oceanographic parameters, the determined dominant parameter is the relative humidity. Combining the three physical processes of evaporation, advection, and divergence flow that affect the change of the dominant parameter, using the Taylor deconvolution method to separate the disturbances of the dominant parameter under the influence of each physical process, and using the relative weight method to determine the relative contributions of each physical process to the disturbance of the dominant parameter, including: For the evaporation, advection, and divergence flow three physical processes that affect the relative humidity a water vapor equation describing the quantitative influence of each physical process on the relative humidity as shown in the following formula is established: Among them, is the precipitation term, is the evaporation term, is the acceleration due to gravity, is the density of surface seawater, is the time, is the air pressure at the reference height, is the specific humidity of the near-surface atmosphere, is the air pressure, is the Hamiltonian operator, is the horizontal wind speed vector, is the saturation specific humidity at the sea surface, is the horizontal wind speed vector at the reference height, is the latent heat flux, is the latent heat of evaporation, is the air density, is the moisture exchange coefficient, is the horizontal wind speed; the Taylor deconvolution method is used to separate the perturbations of relative humidity under the influence of various physical processes ; the relative weight method is used to determine the relative contributions of various physical processes to the perturbations of relative humidity In the above water vapor equation, the left side is the precipitation term and the evaporation term , and the right side is the water vapor storage change term, divergence flow term (Div), advection term (Adv), and boundary term (sometimes ignored) from left to right.

[0032] Based on the Taylor deconvolution formula, the perturbations of relative humidity under the influence of different physical processes are separated as the roles played by various physical processes in the process of affecting the evaporation duct change. In this embodiment, the Taylor deconvolution method is used to separate the perturbations of relative humidity under the influence of various physical processes, and the functional expression is: , , , , where, is the perturbation of relative humidity under the influence of the evaporation term , is the perturbation of relative humidity under the influence of the advection term , is the perturbation of relative humidity under the influence of the divergence flow term , is the perturbation of relative humidity under the influence of all physical processes, is the relative humidity, is the evaporation term, is the evaporation term perturbation, is the advection term perturbation of is the divergence flow term perturbation of is the residual term. As Figure 5 shown, the results indicate that the humidity change during the cyclone–ocean front period is jointly affected by evaporation, advection, and divergence flow, and there is a certain lag in the humidity change caused by advection. During the anticyclone–ocean front period and the ocean front period, the coupling between humidity and advection and divergence flow is weak. Therefore, compared with the evaporation process, the influence of these two processes on the relative humidity change is relatively small.

[0033] In summary, the method of this embodiment includes inputting the meteorological and oceanographic parameter dataset in the study area into the NPS evaporation duct diagnostic model to obtain the evaporation duct height at the corresponding position; performing high-pass filtering on the evaporation duct height to obtain the evaporation duct height perturbation and the meteorological and oceanographic parameter perturbation dataset; using the Taylor deconvolution method to separate the evaporation duct changes under the influence of different meteorological and oceanographic elements and atmospheric and oceanic processes, and using the relative weight method to calculate their relative importance to determine the dominant factors and atmospheric and oceanic processes; determining the quantitative influence of each physical process based on equations describing each physical process such as the water vapor budget equation, and further calculating the relative contribution of each physical process in the process of affecting the change of the dominant factor by using the Taylor deconvolution method and the relative weight method, so as to determine its role in affecting the evaporation duct change. The method of this embodiment is based on shipborne boundary layer survey data, and uses the NPS evaporation duct diagnostic model and the Taylor deconvolution and relative weight methods to separate the relative contributions of atmospheric and oceanic processes to the evaporation duct change during the interaction period between temperate cyclones and submesoscale ocean fronts, the interaction period between temperate anticyclones and submesoscale ocean fronts, and the period when the submesoscale ocean front exists alone, as well as the role of meteorological and oceanographic parameters affecting the evaporation duct change. In addition, the key physical processes affecting the change of the above-mentioned dominant factors are analyzed. The results can provide research ideas for separating the effects of each process on the evaporation duct under the coupling of different atmospheric and oceanic processes, and provide theoretical support for studying the variability characteristics of the evaporation duct under sea-air interaction.

[0034] In addition, this embodiment also provides a system for separating the relative contributions of atmospheric and oceanic processes to the evaporation duct, including a microprocessor and a memory connected to each other, and the microprocessor is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to the evaporation duct.

[0035] In addition, this embodiment also provides a computer-readable storage medium, in which a computer program or instruction is stored, and the computer program or instruction is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to the evaporation duct through a processor.

[0036] In addition, this embodiment also provides a computer program product, including a computer program or instruction, which is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts through a processor.

[0037] Those skilled in the art should understand that the technical solutions provided by the present invention can be in the form of a method, a system, or a computer program product. Therefore, the present invention can be implemented in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can be implemented in the form of a computer program product on one or more computer-readable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code. The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device realizes the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Therefore, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0038] The above is only the preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions within the idea of the present invention belong to the protection scope of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, several improvements and refinements made without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts, characterized in that: The steps include: Divide the specified time into different action periods according to the types of atmospheric and oceanic processes in the specified area; Obtain the meteorological and oceanic parameters of the specified area within the specified time from the input meteorological and oceanic parameter data set, calculate the evaporation duct heights at various locations within the specified area using the preset evaporation duct diagnostic model to obtain the evaporation duct height data set, and use the Taylor deconvolution method in combination with the evaporation duct height data set to calculate the evaporation duct height disturbance under the influence of each meteorological and oceanic parameter in each action period; Average the meteorological and oceanographic parameters for the input meteorological and oceanographic parameter data set, and use the preset evaporation duct diagnostic model to calculate the evaporation duct height at each location in the specified area under the influence of atmospheric and oceanic processes; Apply high-pass filtering to meteorological and oceanic parameters to obtain meteorological and oceanic parameter disturbance data sets; apply high-pass filtering to the evaporation duct height under the influence of atmospheric and oceanic processes to obtain the evaporation duct height disturbance under the influence of atmospheric and oceanic processes; According to the evaporation duct height disturbance under the influence of various meteorological and oceanic parameters, the relative weight method is used to determine the dominant parameter of the evaporation duct height disturbance in the meteorological and oceanic parameters; according to the evaporation duct height disturbance under the influence of atmospheric and oceanic processes, the relative weight method is used to determine the dominant process in the atmospheric and oceanic processes in each action period; Combining the three physical processes of evaporation, advection and divergence that affect the changes in the dominant parameters, the Taylor deconvolution method is used to separate the dominant parameter disturbances under the influence of each physical process, and the relative weight method is used to determine the relative contribution of each physical process to the dominant parameter disturbance.

2. The method for separating the relative contribution of atmosphere-ocean processes to evaporation ducts according to claim 1, characterized in that: The meteorological oceanographic parameters include sea surface temperature Temperature , relative humidity , wind speed and sea surface pressure .

3. The method for separating the relative contribution of atmosphere-ocean processes to evaporation ducts according to claim 2, characterized in that: The function expression of the evaporation duct height disturbance calculated by using the Taylor deconvolution method in combination with the evaporation duct height data set under the influence of each meteorological ocean parameter in each action period is: ， ， ， ， ， ， In the above formula, is the sea surface temperature The evaporation waveguide under the influence is highly disturbed, For temperature The evaporation waveguide under the influence is highly disturbed, Relative humidity The evaporation waveguide under the influence is highly disturbed, Wind speed The evaporation waveguide under the influence is highly disturbed, Sea surface pressure The evaporation waveguide under the influence is highly disturbed, is the evaporation duct height disturbance under the influence of all meteorological ocean parameters; is the evaporation duct height, , , , and are the sea surface temperatures in the meteorological ocean parameter disturbance dataset Temperature , relative humidity , wind speed and sea surface pressure The disturbance, is the residual term.

4. The method for separating the relative contribution of atmosphere-ocean processes to evaporation ducts according to claim 2, characterized in that: The method of averaging the meteorological and oceanic parameters for the input meteorological and oceanic parameter data set and using the preset evaporation duct diagnostic model to calculate the evaporation duct height at each location in the specified area under the influence of atmospheric and oceanic processes includes: Temperature , relative humidity , wind speed and sea surface pressure Calculate the average to get the average sea surface temperature Temperature , relative humidity , wind speed and sea surface pressure ; The average temperature , relative humidity , Sea surface pressure With wind speed and the original sea surface temperature Input the preset evaporation duct diagnostic model to obtain the evaporation duct height under the influence of ocean processes; the average sea surface temperature With the original temperature , relative humidity , Sea surface pressure With wind speed The preset evaporation duct diagnostic model is input to obtain the evaporation duct height under the influence of atmospheric processes.

5. The method of separating the relative contribution of atmosphere-ocean processes to evaporation duct according to claim 1, characterized in that: The method of applying high-pass filtering to meteorological and oceanic parameters to obtain a meteorological and oceanic parameter disturbance data set includes: for each meteorological and oceanic parameter, high-pass filtering is performed on the meteorological and oceanic parameters in a specified direction using a sliding average window with a cutoff length of a specified size to obtain a sliding average value, and the original value of the input data is subtracted from the sliding average value to obtain the meteorological and oceanic parameter disturbance, thereby obtaining the meteorological and oceanic parameter data set; the method of applying high-pass filtering to the evaporation duct height under the influence of atmospheric and oceanic processes to obtain the evaporation duct height disturbance under the influence of atmospheric and oceanic processes includes: high-pass filtering is performed on the evaporation duct height under the influence of atmospheric or oceanic processes using a sliding average window with a cutoff length of a specified size in a specified direction to obtain a sliding average value, and the original value of the input data is subtracted from the sliding average value to obtain the evaporation duct height disturbance under the influence of atmospheric and oceanic processes.

6. The method of separating the relative contribution of atmosphere-ocean processes to evaporation ducts according to claim 1, characterized in that: When the relative weight method is used to determine the dominant parameter of the evaporation duct height disturbance in the meteorological ocean parameters, the dominant parameter determined is relative humidity The three physical processes of evaporation, advection and divergence flow that affect the change of the dominant parameter are combined, and the Taylor deconvolution method is used to separate the dominant parameter disturbance under the influence of each physical process, and the relative contribution of each physical process to the dominant parameter disturbance is determined by the relative weight method. Influence of relative humidity The three physical processes of evaporation, advection and divergence flow are used to establish the quantitative influence of each physical process on relative humidity as shown in the following formula The water vapor equation is: ， ， ， in, is the precipitation term, is the evaporation term, is the acceleration due to gravity, is the surface seawater density, For time, is the air pressure at the reference altitude, is the near-surface atmospheric specific humidity, is the air pressure, is the Hamiltonian operator, is the horizontal wind speed vector, is the sea surface saturation specific humidity, is the horizontal wind speed vector at the reference height, is the latent heat flux, is the latent heat of evaporation, is the air density, is the water exchange coefficient, is the horizontal wind speed; Taylor deconvolution method is used to separate the relative humidity under the influence of various physical processes The relative weight method is used to determine the influence of each physical process on relative humidity. The relative contribution of the disturbance.

7. The method of separating the relative contribution of atmosphere-ocean processes to evaporation ducts according to claim 6, characterized in that: The Taylor deconvolution method is used to separate the relative humidity under the influence of each physical process The perturbation function expression is: ， ， ， ， in, Evaporation The relative humidity disturbance under the influence of is the advection term Relative humidity disturbance under the influence of is the divergence flow term Relative humidity disturbance under the influence of is the relative humidity disturbance under the influence of all physical processes, is the relative humidity, is the evaporation term, Evaporation The disturbance, is the advection term The disturbance, is the divergence flow term The disturbance, is the residual term.

8. A system for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts, comprising a microprocessor and a memory connected to each other, characterized in that: The microprocessor is programmed or configured to perform the method of separating the relative contributions of atmosphere-ocean processes to evaporation ducts as claimed in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program or instruction stored therein, characterized in that: The computer program or instructions are programmed or configured to execute the method for separating the relative contributions of atmosphere-ocean processes to evaporation ducts as claimed in any one of claims 1 to 7 through a processor.

10. A computer program product comprising a computer program or instructions, characterized in that The computer program or instructions are programmed or configured to execute the method for separating the relative contributions of atmosphere-ocean processes to evaporation ducts as claimed in any one of claims 1 to 7 through a processor.

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