A method and system for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts

Abstract

The present invention discloses a method and system for separating the relative contributions of atmospheric and oceanic processes to the evaporation duct. The method comprises: preprocessing an input meteorological and oceanic parameter dataset to obtain the evaporation duct height perturbations under the influence of each meteorological and oceanic parameter, as well as the evaporation duct height perturbations under the influence of atmospheric and oceanic processes; using a relative weighting method to determine the dominant parameter of the evaporation duct height perturbation among the meteorological and oceanic parameters, and the dominant process among the atmospheric and oceanic processes; using a Taylor deconvolution method to separate the dominant parameter perturbations under the influence of each physical process, in combination with the physical processes that affect the changes in the dominant parameter; and using a relative weighting method to determine the relative contribution of each physical process to the dominant parameter perturbation. The present invention aims to separate the relative contributions of meteorological and oceanic parameters to the changes in the evaporation duct under the simultaneous action of atmospheric and oceanic processes, and to analyze and determine the impact of each process on the changes in the evaporation duct under the interaction of air and sea.

Description

Technical Field

[0001] The present invention relates to the research field of evaporation ducts under the coupling of atmosphere and ocean processes, and in particular to a method and system for separating the relative contributions of atmosphere and ocean processes to evaporation ducts. Background Art

[0002] Evaporation ducts are a special type of atmospheric duct found at sea. They have attracted widespread attention due to their ability to affect electromagnetic wave propagation, radar detection accuracy, and detection range. Evaporation ducts are primarily formed by seawater evaporation, which causes the water vapor content in the air to rapidly decrease with altitude from saturation near the sea surface to the ambient value, resulting in a specific vertical distribution of the atmospheric refractive index. Consequently, atmospheric and oceanic processes at various scales can interact to influence the temperature and humidity distribution in the air-sea boundary layer, leading to horizontal variability in the height of the evaporation duct. Therefore, studying the influence of coupled atmospheric and oceanic processes on evaporation ducts is crucial for understanding the properties of evaporation ducts in similar marine environments and improving the detection performance of communication systems such as shipborne radar.

[0003] With the advancement of various observation methods, the air-sea interactions and their feedback mechanisms related to atmospheric and oceanic processes at different scales are becoming increasingly profound. However, there is still a lack of understanding of the response of the evaporation duct to different atmospheric and oceanic processes. Existing research on the response of the evaporation duct to atmospheric and oceanic processes mainly focuses on a single atmospheric or oceanic process. For example, the distribution of evaporation ducts caused by turbulence is studied based on numerical simulation technology, or the horizontal variability of evaporation ducts under typhoons or ocean fronts is investigated based on reanalysis data or observational data. Because 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 out, 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 is as follows: In response to the above-mentioned problems of the prior art, a method and system for separating the relative contributions of atmospheric and oceanic processes to the evaporation duct are provided. The present invention aims to separate the relative contributions of meteorological and oceanic parameters that affect the changes in the evaporation duct under the simultaneous action of atmospheric and oceanic processes, and analyze and determine the impact of each process on the changes in the evaporation duct under the interaction between the sea and the air.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts comprises the following steps:

[0007] Divide the designated time into different action periods according to the types of atmospheric and oceanic processes in the designated area;

[0008] The meteorological and oceanographic parameters of a specified area within a specified time period are obtained from the input meteorological and oceanographic parameter dataset. The evaporation duct heights at each location within the specified area are calculated using a preset evaporation duct diagnostic model to obtain an evaporation duct height dataset. The evaporation duct height disturbance under the influence of each meteorological and oceanographic parameter in each action period is calculated using the Taylor deconvolution method in combination with the evaporation duct height dataset.

[0009] The input meteorological and oceanographic parameter data set is averaged, and the evaporation duct height at each location in the specified area under the influence of atmospheric and oceanic processes is calculated using the preset evaporation duct diagnostic model;

[0010] Apply high-pass filtering to meteorological and oceanic parameters to obtain meteorological and oceanic parameter disturbance datasets; 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;

[0011] Based on 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; based on 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;

[0012] 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.

[0013] Optionally, the meteorological ocean parameters include sea surface temperature , temperature , relative humidity , wind speed and sea surface pressure .

[0014] Optionally, the Taylor deconvolution method is used in combination with the evaporation duct height dataset to calculate the functional expression of the evaporation duct height disturbance under the influence of each meteorological ocean parameter in each action period:

[0015] ,

[0016] ,

[0017] ,

[0018] ,

[0019] ,

[0020] ,

[0021] In the above formula, is the sea surface temperature The evaporation waveguide under the influence is highly disturbed, 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.

[0022] Optionally, the process of averaging the meteorological and oceanic parameters for the input meteorological and oceanic parameter data set and calculating the evaporation duct heights at various locations within the specified area under the influence of atmospheric and oceanic processes using a preset evaporation duct diagnostic model includes: , temperature , relative humidity , wind speed and sea surface pressure Calculate the average value to get the average sea surface temperature , temperature , relative humidity , wind speed and sea surface pressure ; The average temperature , relative humidity , sea surface pressure and 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 averaged sea surface temperature With the original temperature , relative humidity , sea surface pressure and wind speed The preset evaporation duct diagnostic model is input to obtain the evaporation duct height under the influence of atmospheric processes.

[0023] Optionally, applying high-pass filtering to meteorological-ocean parameters to obtain a meteorological-ocean parameter disturbance data set includes: for each meteorological-ocean parameter, high-pass filtering the meteorological-ocean parameter in a specified direction using a sliding average window with a cutoff length of a specified size to obtain a sliding average value, and subtracting the sliding average value from the original value of the input data to obtain the meteorological-ocean parameter disturbance, thereby obtaining the meteorological-ocean parameter data set; 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 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 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 disturbance under the influence of atmospheric and oceanic processes.

[0024] Optionally, 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 that affect the change of the dominant parameter are combined, the Taylor deconvolution method is used to separate the dominant parameter disturbance 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.

[0025] Influence of relative humidity The three physical processes of evaporation, advection and divergence 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:

[0026] ,

[0027] ,

[0028] ,

[0029] 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 vaporization, 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 each physical process The relative weight method is used to determine the influence of each physical process on relative humidity. The relative contribution of the disturbance.

[0030] Optionally, the Taylor deconvolution method is used to separate the relative humidity under the influence of each physical process The perturbation function expression is:

[0031] ,

[0032] ,

[0033] ,

[0034] ,

[0035] in, Evaporation term The relative humidity disturbance under the influence of is the advection term The relative humidity disturbance under the influence of is the divergence flow term The 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 term The disturbance, is the advection term The disturbance, is the divergence flow term The disturbance, is the residual term.

[0036] In addition, the present invention also provides 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, wherein the microprocessor is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts.

[0037] In addition, the present invention also provides a computer-readable storage medium, which stores a computer program or instruction, and the computer program or instruction is programmed or configured to execute the method of separating the relative contributions of atmospheric and oceanic processes to evaporation ducts through a processor.

[0038] In addition, the present invention also provides a computer program product, comprising a computer program or instructions, which are programmed or configured to execute the method of separating the relative contributions of atmospheric and oceanic processes to the evaporation duct through a processor.

[0039] Compared with the existing technology, the present invention mainly has the following advantages: the present invention includes obtaining meteorological and oceanic parameters of a specified area within a specified time based on an input observation data set; using the evaporation duct diagnostic model to obtain the evaporation duct height at the corresponding position at the corresponding time using the meteorological parameters; high-pass filtering the evaporation duct height and the meteorological and oceanic parameters to obtain the corresponding disturbance signal; and separating the relative contributions of different meteorological and oceanic parameters to the evaporation duct and different processes to the dominant factors based on the Taylor deconvolution method and the relative weight method. Based on the observation data set, the present invention uses the evaporation duct diagnostic model, the Taylor deconvolution method, the relative weight method and other methods to separate the relative contributions of different atmospheric and oceanic processes to the evaporation duct under the simultaneous action, 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 theoretical support for studying the variability characteristics of the evaporation duct under the interaction between sea and air. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 Schematic diagram of the basic process of the method of the embodiment of the present invention.

[0041] 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.

[0042] Figure 3 The evaporation duct change distribution diagram under the influence of various meteorological and oceanic parameters in different atmospheric and oceanic processes in the embodiment of the present invention, where (a1), (b1), (c1), (d1), (e1) and (f1) are all meteorological and oceanic parameters and sea surface temperature during the cyclone-ocean front period, respectively. , temperature , relative humidity , wind speed , sea surface pressure Distribution diagram of evaporation waveguide changes under separate influences; (a2), (b2), (c2), (d2), (e2) and (f2) are all meteorological ocean parameters and sea surface temperature during the anticyclone-ocean front period, respectively. , temperature , relative humidity , wind speed , sea surface pressure Distribution diagram of evaporation waveguide changes under separate influences; (a3), (b3), (c3), (d3), (e3) and (f3) are all meteorological ocean parameters and sea surface temperature during the ocean front period. , temperature , relative humidity , wind speed , sea surface pressure Distribution diagram of evaporation duct changes under separate influences.

[0043] Figure 4 are the relative weights of various meteorological and oceanic parameters and atmospheric and oceanic processes in influencing the changes in the evaporation duct in the embodiment of the present invention, wherein (a) are the relative weights of various meteorological and oceanic parameters in influencing the changes in the evaporation duct during the three atmospheric and oceanic processes of the rotation-ocean front period, the anti-rotation-ocean front period, and the ocean front period, respectively; and (b) are the relative weights of two types of meteorological and oceanic parameters in influencing the changes in the evaporation duct during the three atmospheric and oceanic processes of the rotation-ocean front period, the anti-rotation-ocean front period, and the ocean front period, respectively.

[0044] Figure 5 The relative humidity change distribution diagram under the influence of various meteorological and oceanic parameters in different atmospheric and oceanic processes in the embodiment of the present invention, where (a1), (b1), (c1) and (d1) are the relative humidity disturbance and evaporation term at different times during the cyclone-ocean front period, respectively. Relative humidity disturbance and advection term under the influence Relative humidity disturbance and divergence flow term under the influence Distribution of relative humidity disturbance under the influence of the anticyclone-ocean front; (a2), (b2), (c2) and (d2) are the relative humidity disturbance and evaporation term at different times during the anticyclone-ocean front period. Relative humidity disturbance and advection term under the influence Relative humidity disturbance and divergence flow term under the influence Distribution of relative humidity disturbance under the influence of the ocean front; (a3), (b3), (c3) and (d3) are the relative humidity disturbance and evaporation term at different times during the ocean front period. Relative humidity disturbance and advection term under the influence Relative humidity disturbance and divergence flow term under the influence Relative humidity disturbance distribution map under the influence. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention will be further described in detail below with reference to the accompanying drawings in the embodiments of the present invention.

[0046] like Figure 1 As shown, the method of separating the relative contributions of the atmosphere-ocean process to the evaporation duct in this embodiment includes the following steps:

[0047] S1, data preprocessing, including: dividing the specified time into different action periods according to the types of atmospheric and oceanic processes in the specified area; obtaining the meteorological and oceanic parameters of the specified area within the specified time from the input meteorological and oceanic parameter data set, calculating the evaporation duct heights at various locations in the specified area using a preset evaporation duct diagnostic model to obtain an evaporation duct height data set, and using the Taylor deconvolution method in combination with the evaporation duct height data set to calculate the evaporation duct height disturbance under the influence of various meteorological and oceanic parameters in each action period; averaging the meteorological and oceanic parameters for the input meteorological and oceanic parameter data set, and calculating the evaporation duct heights at various locations in the specified area under the influence of atmospheric and oceanic processes using a preset evaporation duct diagnostic model; applying high-pass filtering to the meteorological and oceanic parameters to obtain a meteorological and oceanic parameter disturbance data set; applying high-pass filtering to the evaporation duct heights under the influence of atmospheric and oceanic processes to obtain the evaporation duct height disturbance under the influence of atmospheric and oceanic processes;

[0048] S2, determine the dominant factors and atmospheric and oceanic processes: Based on the evaporation duct height disturbance under the influence of various meteorological and oceanic parameters, use the relative weight method to determine the dominant parameter of the evaporation duct height disturbance in the meteorological and oceanic parameters; based on the evaporation duct height disturbance under the influence of atmospheric and oceanic processes, use the relative weight method to determine the dominant process in the atmospheric and oceanic processes in each action period;

[0049] S3, determine the relative contribution of each physical process: combine the three physical processes of evaporation, advection and divergence that affect the change of the dominant parameter, use the Taylor deconvolution method to separate the dominant parameter disturbance 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 disturbance.

[0050] The method of separating the relative contributions of atmospheric and oceanic processes to the evaporation duct in this embodiment mainly includes four steps, namely, data preprocessing (step S1), determining the dominant factors 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.

[0051] In step S1 of this embodiment, when the specified time is divided into different action periods according to the types of atmospheric and oceanic processes in the specified area, an investigation and analysis is carried out based on an extratropical cyclone and an extratropical anticyclone passing over a submesoscale ocean front. The study area where the submesoscale ocean front is located (43.0°N–43.8°N, 149.88°E–150.02°E) is located at the junction of the anticyclonic vortex and the cyclonic vortex in the Kuroshio-Oyashio intersection area. Figure 2 The study period is divided into the extratropical cyclone-ocean front period (referred to as the cyclone-ocean front period), the extratropical anticyclone-ocean front period (referred to as the anticyclone-ocean front period), and the ocean front period (referred to as the ocean front period) based on the types of atmospheric and oceanic processes in the study area during different periods.

[0052] In step S1 of this embodiment, when obtaining meteorological and oceanographic parameters of a specified area within a specified time from the input meteorological and oceanographic parameter data set, the meteorological and oceanographic parameters include sea surface temperature , temperature , relative humidity , wind speed and sea surface pressure Specifically, in this embodiment, the air temperature Select the temperature and relative humidity at 18m Select relative humidity and wind speed at 18m Select wind speed at 12m, sea surface temperature , temperature , relative humidity , wind speed and sea surface pressure They all come from high-precision sensors installed on ships, with a time resolution of 3s and a spatial resolution of approximately 30m.

[0053] In step S1 of this embodiment, when calculating the evaporation duct heights at various locations within a specified area using a preset evaporation duct diagnostic model to obtain an evaporation duct height dataset, a desired evaporation duct diagnostic model can be used as needed. For example, as an optional embodiment, the preset evaporation duct diagnostic model used in this embodiment is the NPS evaporation duct diagnostic model (see the document: FREDERICKSON PA, DAVIDSON KL, GOROCH A K. Operational bulk evaporation duct model for MORIAH, Version 1.2 [Z]. 2000: 93943-5114). The main difference between the NPS evaporation duct diagnostic model and other evaporation duct models is that the NPS evaporation duct diagnostic model first obtains temperature, humidity, and air pressure profiles, then calculates the atmospheric refractive index profile of the evaporation duct based on the relationship between the atmospheric refractive index and the temperature, humidity, and atmospheric pressure, and then determines the evaporation duct heights at various locations within the specified area based on the location of the corrected refractive index minimum.

[0054] In step S1 of this embodiment, the Taylor deconvolution method is used in combination with the evaporation duct height dataset to calculate the functional expression of the evaporation duct height disturbance under the influence of each meteorological and oceanic parameter in each action period:

[0055] ,

[0056] ,

[0057] ,

[0058] ,

[0059] ,

[0060] ,

[0061] In the above formula, is the sea surface temperature The evaporation waveguide under the influence is highly disturbed, 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. In this embodiment, the evaporation duct changes under the influence of various meteorological and oceanic parameters are as follows: Figure 3 As shown, through Figure 3 It can be seen that the relative humidity The evaporation duct height disturbance under the influence is close to the original evaporation duct height disturbance. During the cyclone-ocean front period, anticyclone-ocean front period and ocean front period, the variation range reaches 6.0m, 6.2m and 3.7m respectively. Secondly, the factor affecting the evaporation duct height disturbance is the sea surface temperature. and temperature Sea surface pressure and wind speed The contribution is relatively small.

[0062] In step S1 of this embodiment, the meteorological and oceanic parameters are averaged for the input meteorological and oceanic parameter data set, and the evaporation duct height at each location in the specified area under the influence of atmospheric and oceanic processes is calculated using the preset evaporation duct diagnostic model, including: , temperature , relative humidity , wind speed and sea surface pressure Calculate the average value to get the average sea surface temperature , temperature , relative humidity , wind speed and sea surface pressure ; The average temperature , relative humidity , sea surface pressure and 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 averaged sea surface temperature With the original temperature , relative humidity , sea surface pressure and wind speed The preset evaporation duct diagnostic model is input to obtain the evaporation duct height under the influence of atmospheric processes.

[0063] In step S1 of this embodiment, applying high-pass filtering to the meteorological-ocean parameters to obtain a meteorological-ocean parameter disturbance data set includes: for each meteorological-ocean parameter, high-pass filtering the meteorological-ocean parameter in a specified direction using a sliding average window with a cutoff length of a specified size to obtain a sliding average value, and subtracting the sliding average value from the original value of the input data to obtain the meteorological-ocean parameter disturbance, thereby obtaining the meteorological-ocean parameter data set; 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 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 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 disturbance under the influence of atmospheric and oceanic processes. As an optional implementation, in this embodiment, since the locations of the data points are distributed in an "S" shape along the latitude, when high-pass filtering is performed to obtain the sliding average, the observed evaporation duct height and meteorological ocean parameters are specifically subjected to a sliding average in the latitude with a cutoff length of a cutoff frequency of 19 km, and the value obtained by subtracting the sliding average from the original value is regarded as a disturbance.

[0064] In step S2 of this embodiment, the dominant parameter of the evaporation duct height disturbance in the meteorological and oceanic parameters is determined by using the relative weight method based on the evaporation duct height disturbance under the influence of various meteorological and oceanic parameters, and the dominant process in the atmospheric process and the oceanic process in each action period is determined by using the relative weight method based on the evaporation duct height disturbance under the influence of atmospheric and oceanic processes. Among them, the relative weight method is a well-known method for quantitatively evaluating the relative importance of various factors and atmospheric or oceanic processes in influencing the changes in the original evaporation duct. It is used to establish linear regression equations to evaluate the original variables (evaporation duct height disturbance under the influence of various meteorological and oceanic elements, atmospheric or oceanic processes) on orthogonal variables (based on orthogonal transformation of the original variable matrix) and the dependent variable (original evaporation duct height disturbance) on orthogonal variables. The relative importance of the independent variable is the product of the squares of the two sets of regression coefficients. The proportion of this relative importance to the coefficient of determination (a statistic that measures the goodness of fit of the regression model) is the relative weight, that is, the importance of each parameter in the meteorological and oceanic parameters and the importance of atmospheric or oceanic processes. This can determine the dominant parameter of evaporation duct height disturbance in the meteorological and oceanic parameters, as well as the dominant process in atmospheric and oceanic processes under various action periods. Figure 4The figure shows the relative weights (i.e., contributions) of various meteorological and oceanic parameters in influencing evaporation duct changes during the three different periods of atmospheric and oceanic processes in this example. Relative humidity is the dominant factor in all three periods, particularly during the anticyclone-ocean front period, where its relative weight reaches 81.95%, significantly exceeding the other four meteorological and oceanic parameters. The influence of atmospheric and oceanic processes is characterized by the atmosphere dominating during the cyclone-ocean front period, the air-sea effect being equally influential during the anticyclone-ocean front period, and the ocean dominating during the ocean front period.

[0065] In step S3 of this embodiment, 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 that affect the change of the dominant parameter are combined, the Taylor deconvolution method is used to separate the dominant parameter disturbance 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.

[0066] Influence of relative humidity The three physical processes of evaporation, advection and divergence 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:

[0067] ,

[0068] ,

[0069] ,

[0070] 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 vaporization, 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 each physical process The relative weight method is used to determine the influence of each physical process on relative humidity. The relative contribution of the disturbance. In the above water vapor equation, the left side is the precipitation term and evaporation term , on the right are, from left to right, the water vapor storage change term, the divergence term (Div), the advection term (Adv), and the boundary term (sometimes ignored).

[0071] Based on the Taylor deconvolution formula, the relative humidity disturbance under the influence of different physical processes is separated as the role played by each physical process in affecting the change of the evaporation waveguide. In this embodiment, the Taylor deconvolution method is used to separate the relative humidity under the influence of each physical process. The perturbation function expression is:

[0072] ,

[0073] ,

[0074] ,

[0075] ,

[0076] in, Evaporation term The relative humidity disturbance under the influence of is the advection term The relative humidity disturbance under the influence of is the divergence flow term The 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 term The disturbance, is the advection term The disturbance, is the divergence flow term The disturbance, is the residual term. Figure 5 The results show that humidity changes during cyclone-ocean front periods are jointly influenced by evaporation, advection, and divergence, with advection-induced humidity changes exhibiting a certain hysteresis. During anticyclone-ocean front and ocean front periods, the coupling between humidity and advection and divergence is weaker, resulting in these two processes having a relatively smaller impact on relative humidity changes compared to evaporation.

[0077] In summary, the method of this embodiment includes inputting the meteorological and oceanic parameter dataset in the study area into the NPS evaporation duct diagnostic model to obtain the evaporation duct height at the corresponding location; performing high-pass filtering on the evaporation duct height to obtain the evaporation duct height disturbance and meteorological and oceanic parameter disturbance dataset; using the Taylor deconvolution method to separate the evaporation duct changes under the influence of different meteorological and oceanic 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 influencing the change of the dominant factor using the Taylor deconvolution method and the relative weight method, thereby determining its role in influencing the evaporation duct change. Based on shipborne boundary layer survey data, this method utilizes the NPS evaporation duct diagnostic model, Taylor deconvolution, and relative weighting methods to separate the relative contributions of atmospheric and oceanic processes to evaporation duct variations during periods of interaction between extratropical cyclones and submesoscale oceanic fronts, during periods of interaction between extratropical anticyclones and submesoscale oceanic fronts, and during periods when submesoscale oceanic fronts exist alone. Furthermore, the key physical processes influencing the changes in these dominant factors are analyzed. These results provide insights into separating the contributions of different atmospheric and oceanic processes to evaporation ducts under coupled atmospheric and oceanic conditions, and offer theoretical support for studying the variability of evaporation ducts under air-sea interactions.

[0078] In addition, this embodiment also provides a system for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts, including a microprocessor and a memory connected to each other, wherein the microprocessor is programmed or configured to execute the method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts.

[0079] In addition, this embodiment also provides a computer-readable storage medium, which stores a computer program or instruction, and the computer program or instruction is programmed or configured to execute the method of separating the relative contribution of atmospheric and oceanic processes to the evaporation waveguide through a processor.

[0080] In addition, this embodiment also provides a computer program product, including a computer program or instructions, which are programmed or configured to execute the method of separating the relative contributions of atmospheric and oceanic processes to the evaporation duct through a processor.

[0081] Those skilled in the art should understand that the technical solution provided by the present invention may be in the form of a method, a system, or a computer program product. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, may be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the functions described in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including the instruction device, which implements the function specified in the process. Figure 1 a process or multiple processes and / or boxes 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 produce a computer-implemented process, thereby providing instructions for implementing the process in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0082] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection 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 designated time into different action periods according to the types of atmospheric and oceanic processes in the designated area; The meteorological and oceanographic parameters of a specified area within a specified time period are obtained from the input meteorological and oceanographic parameter dataset. The evaporation duct heights at each location within the specified area are calculated using a preset evaporation duct diagnostic model to obtain an evaporation duct height dataset. The evaporation duct height disturbance under the influence of each meteorological and oceanographic parameter in each action period is calculated using the Taylor deconvolution method in combination with the evaporation duct height dataset. The input meteorological and oceanographic parameter data set is averaged, and the evaporation duct height at each location in the specified area under the influence of atmospheric and oceanic processes is calculated using the preset evaporation duct diagnostic model; Apply high-pass filtering to meteorological and oceanic parameters to obtain meteorological and oceanic parameter disturbance datasets; 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; Based on 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; based on 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 that affect the changes in the dominant parameters, namely evaporation, advection and divergence, the Taylor deconvolution method is used to separate the dominant parameter perturbations 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 perturbations. The meteorological oceanographic parameters include sea surface temperature , temperature , relative humidity , wind speed and sea surface pressure ; 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 value to get the average sea surface temperature , temperature , relative humidity , wind speed and sea surface pressure ; The average temperature , relative humidity , sea surface pressure and 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 averaged sea surface temperature With the original temperature , relative humidity , sea surface pressure and wind speed The preset evaporation duct diagnostic model is input to obtain the evaporation duct height under the influence of atmospheric processes.

2. The method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts according to claim 1, characterized in that: The Taylor deconvolution method is used to calculate the functional expression of the evaporation duct height disturbance under the influence of each meteorological and oceanic parameter in each action period in combination with the evaporation duct height data set: ， ， ， ， ， ， In the above formula, is the sea surface temperature The evaporation waveguide under the influence is highly disturbed, 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.

3. The method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts 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 subtracting the sliding average value from the original value of the input data 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 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 disturbance under the influence of atmospheric and oceanic processes.

4. The method for separating the relative contributions of atmospheric and oceanic 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 that affect the change of the dominant parameter are combined, the Taylor deconvolution method is used to separate the dominant parameter disturbance 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. Influence of relative humidity The three physical processes of evaporation, advection and divergence 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 vaporization, 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 each physical process The relative weight method is used to determine the influence of each physical process on relative humidity. The relative contribution of the disturbance.

5. The method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts according to claim 4, 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 term The relative humidity disturbance under the influence of is the advection term The relative humidity disturbance under the influence of is the divergence flow term The 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 term The disturbance, is the advection term The disturbance, is the divergence flow term The disturbance, is the residual term.

6. 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 execute the method for separating the relative contributions of atmospheric and oceanic processes to evaporation ducts as claimed in any one of claims 1 to 5.

7. 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 atmospheric and oceanic processes to evaporation ducts according to any one of claims 1 to 5 through a processor.

8. 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 atmospheric and oceanic processes to evaporation ducts according to any one of claims 1 to 5 through a processor.

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