CN108595831B - Dynamic simulation method for calculating real-time tide-induced mixing - Google Patents
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Abstract
The invention discloses a dynamic simulation method for calculating real-time tide-induced mixing, which comprises the following steps: the Princeton ocean model provides initial flow field and density data for the tide mixing parameter calculation model through the coupler, the tide mixing parameter calculation model calculates tide mixing parameters by using the obtained flow velocity and density data, and the mixing parameters are fed back to the Princeton ocean model through the coupler; the Princeton ocean model operates under the condition that the influence of the mixing parameters is considered, the flow speed and density data of the second stage are output, and then the flow speed and density data are transmitted to the tide mixing parameter calculation model, so that the flow speed and density data containing the influence of tide mixing are received by the tide mixing parameter calculation model; this is repeated, and the addition of the tidal mixing parameter affects and changes the tidal flow rate and density, which in turn directly determines the magnitude of the mixing parameter. The invention can realize the dynamic simulation of the physical ocean model and improve the defect that the original physical ocean model sets the mixing parameters as fixed values.
Description
Technical Field
The invention relates to the field of physical oceans, in particular to a dynamic simulation method for calculating real-time tide-induced mixing, which is applied to dynamic real-time simulation of a physical ocean model.
Background
The phenomenon of tidal mixing is that tidal current flows through rough submarine topography and is converted into oblique pressure tide in the form of internal waves, a part of oblique pressure tide can be radiated out in the form of internal waves, and the rest is dissipated at an internal wave generation point, so that enhanced turbulent mixing is generated. The tidal mixing phenomenon happens in the ocean at any moment, plays a key dynamic role in controlling the water quality characteristics and deep circulation characteristics of the ocean, can greatly influence ocean circulation, sea surface temperature and climate, provides half of energy sources for mixing in the ocean, is a main physical process of exchanging substances, heat, momentum and energy in the ocean, is the core of numerous physical and biochemical processes in the ocean, is the most main factor for maintaining ocean meridian circulation, and has important influence on the maintenance and change of a global climate system.
The strength of the tidal mixing phenomenon is generally expressed by the size of the mixing parameter, and the current research is to take the tidal mixing parameter as a fixed value, which is not consistent with the mixing phenomenon actually occurring in the ocean, and also does not consider the continuous influence caused by the mixing occurring in the ocean at any moment, so that the dynamic change caused by the mixing process cannot be reflected.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a dynamic simulation method for calculating real-time tide-induced mixing, so as to realize dynamic simulation of a physical ocean model and improve the defect that the mixing parameters are set as fixed values in the original physical ocean model.
The technical scheme adopted by the invention is as follows: a dynamic simulation method for calculating real-time tidal mixing, comprising the steps of:
step A, setting the starting time, the ending time and the data output frequency of a Princeton ocean model;
b, operating the Princeton ocean model, generating a data file containing tidal current speed and density data, transmitting the data file to a coupler, and controlling the Princeton ocean model to stop operating while receiving the data file by the coupler;
step C, the coupler transmits the data file to the tide mixing parameter calculation model and triggers the tide mixing parameter calculation model to operate;
step D, the tide mixing parameter calculation model takes tide flow speed and density data in the data file as variables, calculates mixing parameters and transmits the mixing parameters to the coupler, and the coupler receives the mixing parameters and controls the tide mixing parameter calculation model to stop running;
step E, the coupler transmits the mixing parameters to the Princeton ocean model, and triggers the Princeton ocean model to operate again to complete a cycle;
and F, circulating the step B to the step E until the set ending time of the Princeton ocean model, and simultaneously generating final tidal current speed and density data by the Princeton ocean model.
Further, the coupler realizes real-time data exchange between the Princeton ocean model and the tide mixed parameter calculation model, and controls the operation modes of the Princeton ocean model and the tide mixed parameter calculation model, and the coupler specifically comprises:
firstly, after receiving a data file transmitted by a Princeton ocean model, a coupler sends an operation stopping instruction to the Princeton ocean model, and stops the operation of the Princeton ocean model;
then, after the coupler transmits the data file to the tide mixing parameter calculation model, triggering the tide mixing parameter calculation model to operate;
secondly, after the coupler receives the mixed parameters obtained after the tide mixed parameter calculation model operates, an operation stopping instruction is sent to the tide mixed parameter calculation model, and the operation of the tide mixed parameter calculation model is stopped;
and finally, after the coupler feeds the mixed parameters back to the Princeton ocean model, triggering the Princeton ocean model to operate.
Further, the tide mixture parameter calculation model specifically includes: calculating a mixing parameter k according to formula (1) using tidal flow velocity and density data as variablesv：
In the formula, kvIs the mixing parameter, ktidalIs the tide mix parameter; k is a radical of0＝1×10-5m2s-1Is a mixed global background value; Γ is 0.2, which is the mixing efficiency; q is 0.3, representing the tidal energy dissipation rate; ρ (x, y, z) is the seawater density;
n (x, y, z) is the buoyancy frequency, calculated from the density data output by the princeton ocean model according to equation (2):
wherein g is gravitational acceleration; ρ (x, y, z) is the seawater density;
e (x, y) represents tidal energy flux, calculated from equation (3):
where ρ is0Is the reference density of seawater; n is a radical ofb(x, y) is the sea floor buoyancy frequency;<u2(x,y)>is tidal velocity, obtained from the output of the Princeton ocean model; k 2 pi/2000, which is the characteristic wave number of terrain; h is2(x, y) represents the sea floor roughness, calculated from a terrain data set named ETOPO5, and represents the mean square of the height deviation from a polynomial fitting plane to the actual terrain, said polynomial fitting plane being represented as: h ═ a + bx + cy + dxy, a, b, c, d are parameters;
f (x, y, z) is a vertical dissipation function, calculated from equation (4):
wherein H (x, y) is the total height of the water column; ζ is 500, which is the vertical dissipation scale; z is the negative of the water depth value.
The invention has the beneficial effects that: data are exchanged between the Princeton ocean model and the tide mixing parameter calculation model at a specified frequency, the Princeton ocean model provides initial flow field and density data for the tide mixing parameter calculation model through a coupler, the tide mixing parameter calculation model calculates tide mixing parameters by using the obtained flow velocity and density data, and the mixing parameters are fed back to the Princeton ocean model through the coupler. The Princeton ocean model operates under the condition that the influence of the mixing parameters is considered, the flow speed and density data of the second stage are output, and then the flow speed and density data are transmitted to the tide mixing parameter calculation model, so that the flow speed and density data containing the influence of the tide mixing are received by the tide mixing parameter calculation model. The above steps are repeated, the addition of the tide mixing parameters influences and changes the tide flow speed and the density, the change of the tide flow speed and the density directly determines the size of the mixing parameters, and the two parameters are mutually influenced to form a continuous coupling process. The bidirectional coupling system reflects dynamic influence of tide-induced mixing phenomena on the ocean, more comprehensively considers mixing in the ocean and perfects the physical process of the Princeton ocean model, so that the simulation and forecast precision of the Princeton ocean model can be greatly improved, the bidirectional coupling system has important significance for more accurately analyzing substances, heat, momentum, energy exchange and numerous physical and biochemical processes in the ocean, provides powerful technical reference for correctly understanding the change mechanism of ocean circulation and global climate, and lays a foundation for establishing a globalized sea-gas coupling model.
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FIG. 1: the invention is a dynamic simulation schematic diagram.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings:
as shown in fig. 1, a dynamic simulation method for calculating real-time tide-induced mixture starts with triggering the operation of a preston ocean model, and before the operation, parameters such as the starting time, the ending time and the like of the preston ocean model are set, and the linkage between the preston ocean model and the tide mixture parameter calculation model and a coupler is completed. The Princeton ocean model stops running at a preset end time, and generates a final data file of tidal current speed, density and the like. The method specifically comprises the following steps:
step A, setting parameters such as starting time, ending time, data output frequency and the like of a Princeton ocean model;
b, operating the Princeton ocean model, generating a data file containing tidal current speed and density data, transmitting the data file to a coupler, and controlling the Princeton ocean model to stop operating while the coupler receives the data file (the process corresponds to the identifier I in the attached figure 1);
step C, the coupler transmits the data file to a tide mixing parameter calculation model and triggers the tide mixing parameter calculation model to operate (the process corresponds to the identifier II in the attached figure 1);
step D, the tide mixing parameter calculation model takes tide flow speed and density data in the data file as variables, calculates mixing parameters and transmits the mixing parameters to the coupler, and the coupler receives the mixing parameters and controls the tide mixing parameter calculation model to stop running (the process corresponds to the identifier (c) in the attached drawing 1);
step E, the coupler transmits the mixed parameters to the Princeton ocean model, and triggers the Princeton ocean model to operate again to complete a cycle (the process corresponds to the Identifier (IV) in the attached figure 1);
and F, circulating the step B to the step E until the set ending time of the Princeton ocean model, and simultaneously generating final tidal current speed and density data by the Princeton ocean model.
When the second operation of the Princeton ocean model is finished, the difference brought by the mixing effect is reflected by the output data file, and the mixing parameters calculated by the second data file are different from the mixing parameters calculated by the first time. The above steps are repeated, the addition of the tide mixing parameters influences and changes the tide flow speed and the density, the change of the tide flow speed and the density directly determines the size of the mixing parameters, and the two parameters are mutually influenced to form a continuous coupling process. Compared with the method that the mixing parameters are taken as a fixed value, the method can better reflect the actual situation of the physical phenomenon in the ocean, reflect the dynamic influence of the tide-induced mixing phenomenon on the ocean, and perfect the physical process of the Princeton ocean model, thereby greatly improving the simulation and forecast precision of the Princeton ocean model.
The invention relates to a dynamic simulation method for calculating real-time tide mixing, which comprises the following concrete steps of a Princeton ocean model, a tide mixing parameter calculation model and a coupler:
princeton ocean model
A three-dimensional oblique pressure original equation numerical value ocean mode adopts a frog leaping finite difference format and a split operator technology, and is widely applied to the simulation of tide, wind-generated current, mixed layers and spring layers, thermohaline circulation, ocean circulation and transportation by scholars at home and abroad. The Princeton ocean model may output tidal flow velocity and density data required to calculate the blending parameters.
(II) tide mixing parameter calculation model
The tidal flow velocity and density data are used as variables, and a mixing parameter k is calculated according to a certain functional relation (formula (1))v. Tidal flow velocity and density data files as input, output mixing parameter kvEssentially, the LJS02 tide hybrid parameterization scheme.
LJS02 tide mix parameterization scheme:
in the formula, kvIs the mixing parameter, ktidalIs the tide mix parameter; k is a radical of0＝1×10-5m2s-1Is a mixed global background value; Γ is 0.2, which is the mixing efficiency; q is 0.3, representing the tidal energy dissipation rate; ρ (x, y, z) is the seawater density;
n (x, y, z) is the buoyancy frequency, calculated from the density data output by the princeton ocean model, as shown in equation (2):
wherein g is gravitational acceleration; ρ (x, y, z) is the seawater density;
e (x, y) represents tidal energy flux, calculated from equation (3):
where ρ is0Is seawaterThe reference density of (d); n is a radical ofb(x, y) is the sea floor buoyancy frequency;<u2(x,y)>is tidal velocity, obtained from the output of the Princeton ocean model; k 2 pi/2000, which is the characteristic wave number of terrain; h is2(x, y) represents the sea floor roughness, calculated from a terrain data set named ETOPO5, and represents the mean square of the height deviation from the actual terrain to a polynomial fit plane, where the fit plane is polynomial fitted to the actual terrain, said polynomial fit plane being represented by: h ═ a + bx + cy + dxy, a, b, c, d are parameters;
f (x, y, z) is a vertical dissipation function, calculated from equation (4):
wherein H (x, y) is the total height of the water column; ζ is 500, which is the vertical dissipation scale; z is the negative of the water depth value.
(III) coupler
Realize the data real-time exchange between Princeton marine model and the tide mixed parameter calculation model to control Princeton marine model and tide mixed parameter calculation model's operational mode, specifically include:
firstly, after receiving a data file transmitted by a Princeton ocean model, a coupler sends an operation stopping instruction to the Princeton ocean model, and stops the operation of the Princeton ocean model;
then, after the coupler transmits the data file to the tide mixing parameter calculation model, triggering the tide mixing parameter calculation model to operate;
secondly, after the coupler receives the mixed parameters obtained after the tide mixed parameter calculation model operates, an operation stopping instruction is sent to the tide mixed parameter calculation model, and the operation of the tide mixed parameter calculation model is stopped;
and finally, after the coupler feeds the mixed parameters back to the Princeton ocean model, triggering the Princeton ocean model to operate.
Data are exchanged between the Princeton ocean model and the tide mixing parameter calculation model at a specified frequency, the Princeton ocean model provides initial flow field and density data for the tide mixing parameter calculation model through a coupler, the tide mixing parameter calculation model calculates tide mixing parameters by using the obtained flow velocity and density data, and the mixing parameters are fed back to the Princeton ocean model through the coupler. The Princeton ocean model operates under the condition that the influence of the mixing parameters is considered, the flow speed and density data of the second stage are output, and then the flow speed and density data are transmitted to the tide mixing parameter calculation model, so that the flow speed and density data containing the influence of the tide mixing are received by the tide mixing parameter calculation model. The above steps are repeated, the addition of the tide mixing parameters influences and changes the tide flow speed and the density, the change of the tide flow speed and the density directly determines the size of the mixing parameters, and the two parameters are mutually influenced to form a continuous coupling process.
Although the preferred embodiments of the present invention have been described above with reference to the accompanying drawings, the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and those skilled in the art can make many modifications without departing from the spirit and scope of the present invention as defined in the appended claims.
Claims (2)
1. A dynamic simulation method for calculating real-time tidal mixing is characterized by comprising the following steps:
step A, setting the starting time, the ending time and the data output frequency of a Princeton ocean model;
b, operating the Princeton ocean model, generating a data file containing tidal current speed and density data, transmitting the data file to a coupler, and controlling the Princeton ocean model to stop operating while receiving the data file by the coupler;
step C, the coupler transmits the data file to the tide mixing parameter calculation model and triggers the tide mixing parameter calculation model to operate;
step D, calculating the model by the tide mixing parameter and the tide flow speed and density data in the data fileAs variables, the mixing parameter k is calculated according to equation (1)v：
In the formula, kvIs the mixing parameter, ktidalIs the tide mix parameter; k is a radical of0＝1×10-5m2s-1Is a mixed global background value; Γ is 0.2, which is the mixing efficiency; q is 0.3, representing the tidal energy dissipation rate; ρ (x, y, z) is the seawater density;
n (x, y, z) is the buoyancy frequency, calculated from the density data output by the princeton ocean model according to equation (2):
wherein g is gravitational acceleration; ρ (x, y, z) is the seawater density;
e (x, y) represents tidal energy flux, calculated from equation (3):
where ρ is0Is the reference density of seawater; n is a radical ofb(x, y) is the sea floor buoyancy frequency;<u2(x,y)>is tidal velocity, obtained from the output of the Princeton ocean model; k 2 pi/2000, which is the characteristic wave number of terrain; h is2(x, y) represents the sea floor roughness, calculated from a terrain data set named ETOPO5, and represents the mean square of the height deviation from a polynomial fitting plane to the actual terrain, said polynomial fitting plane being represented as: h ═ a + bx + cy + dxy, a, b, c, d are parameters;
f (x, y, z) is a vertical dissipation function, calculated from equation (4):
wherein H (x, y) is the total height of the water column; ζ is 500, which is the vertical dissipation scale; z is the negative value of the water depth value;
transmitting the mixing parameters to a coupler, and controlling the tide mixing parameter calculation model to stop running while the coupler receives the mixing parameters;
step E, the coupler transmits the mixing parameters to the Princeton ocean model, and triggers the Princeton ocean model to operate again to complete a cycle;
and F, circulating the step B to the step E until the set ending time of the Princeton ocean model, and simultaneously generating final tidal current speed and density data by the Princeton ocean model.
2. The dynamic simulation method of calculating real-time tidal mixes according to claim 1, wherein the coupler enables real-time exchange of data between the Princeton ocean model and the tidal mix parameter calculation model, and controls the operation modes of the Princeton ocean model and the tidal mix parameter calculation model, specifically comprising:
firstly, after receiving a data file transmitted by a Princeton ocean model, a coupler sends an operation stopping instruction to the Princeton ocean model, and stops the operation of the Princeton ocean model;
then, after the coupler transmits the data file to the tide mixing parameter calculation model, triggering the tide mixing parameter calculation model to operate;
secondly, after the coupler receives the mixed parameters obtained after the tide mixed parameter calculation model operates, an operation stopping instruction is sent to the tide mixed parameter calculation model, and the operation of the tide mixed parameter calculation model is stopped;
and finally, after the coupler feeds the mixed parameters back to the Princeton ocean model, triggering the Princeton ocean model to operate.
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| CN115564150A (en) * | 2022-12-06 | 2023-01-03 | 中交天津港湾工程研究院有限公司 | Oil spill track prediction method based on stokes drift and tide mixing mechanism |
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