Method for monitoring sea temperature abnormity of marine ranching under different tidal conditions

Abstract

The invention discloses a marine ranching sea temperature abnormity monitoring method under different tidal conditions, and particularly relates to the technical field of marine science. Comprising the following steps: S1, constructing a numerical model of a marine ranch based on a three-dimensional oblique pressure original equation model, and obtaining data and condition setting of the numerical model; s2, designing a simulation experiment for the numerical model of the marine ranch; and S3, verifying and perfecting the constructed marine ranch numerical model. According to the technical scheme, the problem that real-time monitoring cannot be achieved through an existing marine monitoring means is solved, and guidance is provided for marine ranch supervisors and producers.

Description

Technical Field

[0001] The invention relates to the field of marine science and technology, and in particular to a method for monitoring sea temperature anomalies in a marine ranch under different tidal conditions. Background Art

[0002] Marine ranching is the planned release of artificially cultivated and domesticated biological seedlings into the ocean, which are raised with natural microbial baits and trace amounts of feeding, and scientifically managed using biological characteristics and environmental detection technologies, so as to achieve the goal of enriching fishery resources and increasing catches. The sea temperature of the marine ranch is an important indicator to describe the thermal conditions of the marine ranch. The sea temperature of the marine ranch is closely related to the supervision activities of the marine ranch, and has always been the focus of observation and forecasting by marine ranch regulators and producers. Due to the frequent occurrence of ecological and environmental disasters in marine ranches caused by abnormal sea temperatures, serious social and economic losses have occurred. Therefore, it is extremely urgent to seek a method for rapid and effective monitoring and forecasting of abnormal sea temperatures in marine ranches.

[0003] At present, a major technical problem facing sea temperature monitoring in marine ranches is the influence of tidal conditions. Tides are the periodic rise and fall of seawater in the ocean caused by the gravitational pull of the moon and the sun. Under different tidal conditions, the hydrodynamic characteristics, water quality and biological activities of marine ranches will change, which in turn affects the distribution and changes of sea temperature. Especially in areas with large tidal changes, the fluctuation of sea temperature is more severe, which brings great challenges to sea temperature monitoring.

[0004] In addition, traditional methods of monitoring sea temperature in marine ranches mainly rely on manual sampling and buoy monitoring. These methods have limitations such as limited monitoring range, low data update frequency, and significant impact from weather and sea conditions. They are difficult to meet the needs of real-time monitoring of sea temperature and abnormal warning in marine ranches. Summary of the invention

[0005] The present invention aims to provide a method for monitoring sea temperature anomalies in marine ranches under different tidal conditions, thereby solving the problem that existing marine monitoring means cannot achieve real-time monitoring.

[0006] In order to achieve the above object, the technical solution of the present invention is as follows: A method for monitoring sea temperature anomalies in marine ranches under different tidal conditions comprises the following steps:

[0007] S1. Construct a numerical model of the ocean ranch based on the three-dimensional baroclinic primitive equation model, and obtain the data and condition settings of the numerical model;

[0008] S2. Design simulation experiments on the numerical model of marine ranching;

[0009] S3. Verify and improve the constructed marine ranch numerical model.

[0010] Furthermore, the data acquisition and condition setting method of step S1 is as follows:

[0011] S1.1. Select the numerical simulation area of ​​marine ranching and set the monitoring marine ranching area;

[0012] S1.2. Set up the numerical model grid for the ocean ranch;

[0013] S1.3. Setting open boundary conditions for marine ranches;

[0014] S1.4, set the initialization field of temperature and salinity of the ocean ranch;

[0015] S1.5. Set the tidal harmonic constants for the open boundaries.

[0016] Furthermore, the simulation experiment design method of step S2 is as follows:

[0017] S2.1. Simulate the SST of the ocean ranch with numerical models without tidal forcing and monitor the SST anomalies;

[0018] S2.2. Consider the tidal forcing conditions and use numerical models to simulate the SST of the ocean ranch and monitor the SST anomalies.

[0019] Furthermore, the verification and improvement method of step S3 is as follows:

[0020] S3.1. Verification of multi-point sea temperature monitoring by observation stations, using the sea temperature monitored by observation stations to compare the sea temperature output of numerical model simulation analysis and verification;

[0021] S3.2. Verify the sea surface temperature using reanalysis data. Use HYCOM reanalysis data to compare the sea surface temperature data with the numerical model simulation output for sea surface temperature analysis verification.

[0022] Furthermore, the numerical model based on step S3 simulates the sea temperature of the ocean ranch section, simulates the internal structure of the ocean ranch temperature field under different tidal conditions, monitors the anomalies of the sea temperature section, and captures the ocean ranch warm pool and obvious cold water mass.

[0023] Furthermore, the numerical model based on step S3 simulates the sea temperature of the large area of ​​the ocean ranch, simulates the seasonal changes of the ocean ranch under different tidal conditions, monitors seasonal anomalies of the sea temperature, and captures warm pools and obvious cold water masses in the ocean ranch.

[0024] Furthermore, the numerical model based on step S3 simulates the sea temperature over a large area of ​​the ocean ranch, simulates the changes in the bottom sea temperature of the ocean ranch in winter under different tidal conditions, monitors the anomalies of the bottom sea temperature in winter, and captures warm pools and obvious cold water masses in the ocean ranch.

[0025] Compared with the prior art, this solution has the following beneficial effects:

[0026] 1. This scheme monitors and supervises the abnormal cross-sectional sea temperature in the ocean ranch, the seasonal anomaly of the sea temperature in the ocean ranch, and the abnormal bottom sea temperature in the ocean ranch in winter, based on numerical model simulation and verification correction methods. Compared with the existing on-site instrument and equipment monitoring technology of the ocean ranch, it has a higher cost-effectiveness.

[0027] 2. This scheme uses a numerical model to simulate the isotherms of the marine ranch section. This isotherm profile method of depicting the temperature anomalies of the internal structure of the marine ranch can better show the vertical mixing characteristics of the upper and lower layers of the marine ranch and the temperature front structure. Compared with other methods, it can better capture the sea temperature section anomalies of the marine ranch.

[0028] 3. This scheme proposes a marine ranch sea temperature anomaly monitoring model based on tidal conditions, which can capture the marine ranch warm pool structure and obvious cold water masses. This marine ranch sea temperature anomaly monitoring model has the advantage of correctly capturing sea temperature anomalies such as warm pools and cold water masses. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a front view of a method for monitoring sea temperature anomalies in a marine ranch under different tidal conditions in this embodiment;

[0030] Figure 2 This is a map of the marine ranch sea area and nearshore observation stations in this embodiment;

[0031] Figure 3 It is the simulation result of the numerical model verified by the multi-point sea temperature data of the nearshore observation station in this embodiment;

[0032] Figure 4 It is the verification of the spring and summer SST of the numerical model output in this embodiment by comparing it with the HYCOM reanalysis data;

[0033] Figure 5 It is the verification of autumn and winter SST by comparing the output of the numerical model in this embodiment with the HYCOM reanalysis data;

[0034] Figure 6 is a distribution map of the sea temperature section locations monitored by the ocean ranch in this embodiment;

[0035] Figure 7 is the temperature profile of the marine ranch in the southern part of the Beibu Gulf in this embodiment;

[0036] Figure 8 is the seasonal variation of sea surface temperature in Beibu Gulf marine ranch under different conditions in this embodiment;

[0037] Fig. 9 It is the change of bottom temperature in winter in Beibu Gulf Ocean Ranch under different conditions in this embodiment. DETAILED DESCRIPTION

[0038] The present invention is further described in detail below through specific embodiments:

[0039] Example

[0040] like Figure 1 As shown, a method for monitoring sea temperature anomalies in a marine ranch under different tidal conditions includes the following steps:

[0041] S1. Construct a numerical model of the marine ranch based on the three-dimensional baroclinic primitive equation model, and obtain the data and condition settings of the numerical model.

[0042] S1.1. Select the numerical simulation area of ​​the marine ranch and set the monitoring area of ​​the marine ranch:

[0043] The simulation area is 16.0°N~22.0°N, 105.5°E~111.5°E. ETOPO1 data with a horizontal resolution of 1′×1′ are used as terrain data.

[0044] S1.2. Setting the numerical model grid of the ocean ranch:

[0045] The horizontal resolution of the model grid is 1 / 30°, about 3.43km×3.43km, and the total number of grids is 179×190; the model vertical layer is 32 layers. The vertical coordinate stretching parameters are set to θs=5 and θb=0.4, where θs and θb are the coordinate stretching parameters of the model in the vertical direction, which are constant values.

[0046] S1.3. Setting open boundary conditions for marine ranches:

[0047] The open boundary conditions such as sea surface height and three-dimensional velocity use the COADS05 monthly average data with a resolution of 1°×1°.

[0048] S1.4. Set the initialization field of temperature and salinity of the ocean ranch:

[0049] The monthly mean temperature and salinity field data of the WOA09 dataset (World Ocean Atlas 2009, WOA09) with a spatial resolution of 1 / 4°×1 / 4° were used to initialize the field data.

[0050] Substitute the data of temperature and salinity initialization fields into the temperature and salinity control equations:

[0051]

[0052] Substitute the data of temperature and salinity initialization fields into the state equation:

[0053] ρ=ρ(T,S,P),

[0054] Where fu, fv, Fc are the forces or sources, Du, Dv, Dc are the horizontal diffusion terms, f is the Coriolis parameter, φ(x,y,z,t) is the pressure term φ=(P / ρ 0 ).

[0055] S1.5. Set the tidal harmonic constants for the open boundary:

[0056] The open boundary tidal harmonic constant uses the TPX07 dataset of the global ocean tidal prediction model of the two-dimensional barotropic fluid momentum equation with a resolution of 1 / 4°×1 / 4°. The harmonic constants of the eight major tidal components M2, S2, N2, K2, K1, 01, P1, and Q1 are selected to introduce tidal forcing. The calculation formula of the tidal harmonic form is:

[0057]

[0058] Where m is the number of tidal components considered; ω i is the angular velocity of the i-th tidal component; f i 、u i are the intersection factor and retardation correction of the i-th tidal component, respectively; H i and g i are the harmonic constants, i.e., the amplitude and retardation angle of each tidal component; v oi is the initial astronomical phase of the i-th tidal component.

[0059] In this embodiment, the tidal harmonic constants of the model open boundary use the TPX07 data set of the global ocean tidal prediction model of the two-dimensional barotropic fluid momentum equation created by Oregon State University in the United States.

[0060] S2. Design simulation experiments on the numerical model of marine ranching.

[0061] S2.1. Under the same initialization field and without tidal forcing (i.e. without setting the input item of open boundary tidal harmonic constant), the numerical model simulates the SST of the marine ranch and monitors the SST anomaly;

[0062] S2.2. Under the same initialization field, the numerical model simulates the SST of the ocean ranch and monitors the abnormal SST under tidal forcing conditions (i.e., the tidal harmonic constant parameter file is input as an open boundary condition, so that the model simulation accuracy is higher).

[0063] S3. Verify and improve the constructed marine ranch numerical model;

[0064] S3.1. Verification of multi-point sea temperature monitoring by observation stations, using the sea temperature monitored by observation stations to compare the sea temperature output of numerical model simulation analysis and verification:

[0065] The sea surface temperature data of the marine ranch sea area and nearshore observation stations were collected and used as verification data to study the sea area and nearshore observation stations. Figure 2 The average relative error is calculated by using the measured sea temperature values ​​monitored by the observation station and the sea temperature data output by the numerical model. The average relative error formula is used to test the accuracy of the model:

[0066]

[0067] In the formula, is the sea temperature value of the ith observation point output by the numerical model, is the measured value monitored by the i-th observation station, and n is the number of monitoring observation stations.

[0068] like Figure 3 As shown in the figure, the linear equation of the sea temperature output from the numerical model simulation and the sea temperature data monitored by the observation station in January 2017 is y=1.21011x, the linear equation of the sea temperature output from the numerical model simulation and the sea temperature data monitored by the observation station in March 2017 is y=1.1432x, the linear equation of the sea temperature output from the numerical model simulation and the sea temperature data monitored by the observation station in July 2017 is y=1.0233x, and the linear equation of the sea temperature output from the numerical model simulation and the sea temperature data monitored by the observation station in October 2017 is y=0.9762x. The analysis results show that the error between the sea temperature output from the numerical model simulation and the monitoring data of the observation station is small, and the linear correlation is large.

[0069] S3.2. Verify the sea surface temperature with reanalysis data. Use HYCOM reanalysis data to compare the sea surface temperature data with the numerical model simulation output for sea surface temperature analysis verification:

[0070] The HYCOM reanalysis data SST data is used to compare the numerical model simulation output SST analysis verification. The HYCOM reanalysis SST data product has a temporal resolution of 1 day, a spatial resolution of 1 / 12°, and 40 layers in the vertical direction. The HYCOM daily average reanalysis data SST data for the spring, summer, autumn, and winter seasons of 2017 are collected in March, June, September, and December, respectively. Figure 4 and Figure 5 shown.

[0071] like Figure 4It can be seen that due to the influence of the monsoon, the water temperature in the northern part of the Beibu Gulf is relatively low in spring; the water temperature in the southern part is higher due to the invasion of warm water from the South China Sea. The southern part of Hainan Island is affected by the warm water of the South China Sea and the temperature is higher than that in the north. The numerical model simulates the sea surface temperature results, which can better monitor the invasion of warm water from the South China Sea, but the cold water mass near the Red River Basin fails to capture the low temperature in this sea area, which may be affected by the large runoff in the Red River Basin. In summer, due to the strong solar radiation, the Beibu Gulf sea area warms up as a whole, and its sea surface temperature distribution tends to be consistent. The temperature gradient in the horizontal direction of this sea area does not change significantly, and the temperature difference of the sea surface temperature in the bay is not large. The temperature in the northern coastal area is slightly higher than that in the bay. The output of the numerical model is compared with the spring and summer sea temperatures of the HYCOM reanalysis data, and the results show that the sea temperature values ​​are in good agreement.

[0072] like Figure 5 As shown in the figure, the solar radiation weakens slightly in autumn, the overall water temperature in the Beibu Gulf is lower than that in summer, and the sea surface temperature in the coastal areas is higher. The sea surface temperature is the highest in the coastal areas at the junction of Guangxi, China and northern Vietnam. The simulation results of the numerical model capture the cold water mass that appears on the south coast of Hainan Island, China and the coast of Hue, Vietnam. In winter, the Beibu Gulf is affected by latitude, and the sea surface temperature distribution basically increases from north to south, roughly forming the characteristics of "warm in the south and cold in the north". The temperature in the northern coastal areas is relatively low, and the minimum value appears in the coastal waters of Guangxi. Because the temperature is low in winter, the sea surface loses heat, the vertical mixing is uniform, the nearshore water body is shallow, the heat capacity is small, the influence of land is large, and the temperature drops quickly, causing the temperature of the nearshore water body to be generally lower than that of the open sea water body. The high-frequency oscillation characteristics of the northeast monsoon cause the cyclonic circulation in the southern part of the Beibu Gulf to invade the Beibu Gulf. There is an obvious warm water tongue invasion on the lower left of Hainan Island. The warm tongue tongue-shaped front can reach the top of the bay. There is a temperature difference of 3-4℃ between the warm water tongue and the nearby water body. At the same time, a warm pool structure appears on the southwest side of Hainan Island. The output of the numerical model is verified by comparing the autumn and winter SSTs of the HYCOM reanalysis data, and the results show that the SST values ​​are in good agreement.

[0073] Based on the numerical model of step S3, the sea temperature of the ocean ranch section is simulated, the internal structure of the temperature field of the ocean ranch under different tidal conditions is simulated, the anomaly of the sea temperature section is monitored, and the warm pool and obvious cold water mass of the ocean ranch are captured:

[0074] There is an upwelling on the west side of Hainan Island in the Beibu Gulf. This upwelling is formed in the spring, reaches its strongest point in the summer, gradually weakens in the autumn, and disappears in the winter. In order to better monitor the impact of this upwelling and strong tides, the sea temperature section in June 2019 was selected for analysis. Figure 6As shown, three sections, namely Fangchenggang Bailong Pearl Bay Marine Ranch in the northern Beibu Gulf, Danzhou Emen Marine Ranch in the central Beibu Gulf, and Sanya Yazhou Bay Marine Ranch in the southern Beibu Gulf, were selected to analyze the internal structure of the marine ranch temperature field under different tidal conditions. The yellow line section is the sea temperature section of Fangchenggang Bailong Pearl Bay Marine Ranch, the red line section is the sea temperature section of Danzhou Emen Marine Ranch, and the black line section is the sea temperature section of Sanya Yazhou Bay Marine Ranch.

[0075] Temperature profiles of Bailong Pearl Bay Marine Ranch in Fangchenggang under tidal and non-tidal conditions in June 2019 Figure 7 (a) and 7(b). The water depth in the northern Beibu Gulf marine ranch is relatively shallow, and the seawater is more easily mixed up and down. The isotherms in the shallower waters are almost perpendicular to the seabed, and the nearshore waters are mixed evenly. Figure 7 As shown in (a), the frontal structure is obvious at the shore of the Bailong Pearl Bay Marine Ranch in Fangchenggang; Figure 7 As shown in (b), the surface water temperature is higher than that with tidal forcing.

[0076] Temperature profiles of Danzhou Emen Ocean Ranch under tidal and non-tidal conditions in June 2019 Figure 7 (c) and 7(d). When there is no tidal forcing, Figure 7 As shown in (d), the temperature contour lines of the nearshore shallow sea are perpendicular to the seabed. There is no temperature front structure at the nearshore land bank. The temperature contour lines sink at the center of the cross section in deep water, and the cold water spot at the bottom weakens. When tidal conditions are added, Figure 7 As shown in (c), the thickness of the surface water with higher temperature in Danzhou Emen Marine Ranch is reduced, the frontal structure is obvious at the nearshore land bank, and the cold water spot on the seabed is obvious in the deep water area. Due to the influence of strong tides, tidal energy is dissipated on the seabed under the action of bottom friction, and a large amount of tidal energy is converted into turbulent kinetic energy, causing the water body to mix strongly and form a tidal front on the nearshore slope. In summer, solar radiation is strong, the surface seawater heats up rapidly, the temperature difference between the surface and bottom layers is large, and the temperature stratification is obvious. The results of simulating the sea temperature changes in this marine ranch under tidal forcing conditions are more in line with the characteristics of the sea temperature distribution in the Beibu Gulf.

[0077] Temperature profiles of Sanya Yazhou Bay Marine Ranch under tidal and non-tidal conditions in June 2019 Figure 7 As shown in (e) and 7(f), the tide strengthens the influence of the bottom cold water in the deep water area and the bottom cold water expands upward. The strong tidal forcing causes the bottom cold water to rise and mix with the middle seawater, further reducing the temperature of the middle seawater and the thickness of the thermocline. The change characteristics of the isotherms of the Yazhou Bay marine ranch: When there is no tidal forcing, Figure 7 As shown in (f), the isotherms of the water body in the Yazhou Bay Marine Ranch are gentle and generally distributed horizontally, and there is no temperature front structure near the shore. Figure 7As shown in (e), the isotherms are undulating and a temperature front structure appears near the shore. The reason for this phenomenon may be that the addition of tidal forcing better reflects the upwelling on the west side of Hainan Island in the Beibu Gulf. Characteristics of the thermocline changes in the Yazhou Bay marine ranch: The thickness of the thermocline increases greatly when there are no tidal conditions. Figure 7 (f) shows that the thermocline is better under tidal conditions. Figure 7 (e) This is consistent with the relatively weak intensity of the thermocline in the shallow shelf of the northwestern South China Sea in summer. In the upper mixed layer, strong tides enhance the mixing of water bodies. Figure 7 As shown in (e), the thickness of the surface water with higher temperature increases. Therefore, the simulated values ​​of the sea temperature section of the Sanya Yazhou Bay Marine Ranch with tidal forcing are better than those without tidal forcing.

[0078] The numerical model based on step S3 simulates the sea temperature of the large area of ​​the marine ranch, simulates the seasonal changes of the marine ranch under different tidal conditions, monitors the seasonal anomalies of the sea temperature, and captures the warm pool and obvious cold water mass of the marine ranch:

[0079] Numerical model simulation of seasonal changes in sea surface temperature in Beibu Gulf marine ranches under different conditions Figure 8 As shown in the figure, they correspond to the surface temperature distribution map of Beibu Gulf in March, June, September and December 2019. Figure 8 (a) and (b) show that the sea surface temperature in the Beibu Gulf in March is a typical spring hydrological distribution with high in the south and low in the north. In the northern Beibu Gulf marine ranch, due to the shallow water depth, the impact of tides on sea temperature cannot be well reflected. In the central and southern Beibu Gulf marine ranches, after adding tidal forcing, Figure 8 (a) The intrusion of warm water into the South China Sea is obvious, and the warm water mass beneath Hainan Island is relatively large.

[0080] Depend on Figure 8 (c) and 8(d) show that solar radiation increases after entering summer. In June, under tidal forcing, cold water masses are obvious in the waters near the Gusu Islands in the northern Beibu Gulf marine ranch, and the scale of the cold water masses is relatively large. However, under no tidal forcing, the cold water masses are not obvious, and there are multiple discontinuous small water blocks. Under tidal conditions in the central Beibu Gulf marine ranch, the sea temperature along the coast of Danzhou Eman Marine Ranch is relatively high. Under no tidal forcing, the narrow low-temperature zone in the sea area of ​​Sanya Yazhou Bay Marine Ranch does not appear.

[0081] Depend on Figure 8 (e) and (f) show that the seawater temperature along the coast of the Beibu Gulf is relatively high in autumn due to the influence of solar radiation and topography. In September, the sea temperature along the coast of the northern Beibu Gulf marine ranch was relatively low under both tidal and non-tidal conditions. The reason for this phenomenon may be that the model input resolution is relatively large. Without tidal forcing, the sea surface temperature in the central and southern Beibu Gulf marine ranch areas is generally high, and many small and discontinuous water masses appear.

[0082] Depend on Figure 8 (g) and 8(h) show that in December, at the marine ranch in the northern Beibu Gulf, the effect of tide on the simulated sea surface temperature was not obvious; however, at the marine ranch in the southern Beibu Gulf, the sea surface temperature in the southwest of Hainan Island increased significantly and the warm pool structure was obvious after adding tidal forcing.

[0083] Based on the numerical model in step S3, the sea temperature of the large area of ​​the ocean ranch is simulated, the bottom sea temperature changes of the ocean ranch in winter under different tidal conditions are simulated, the bottom sea temperature anomalies in winter are monitored, and the warm pool and obvious cold water mass of the ocean ranch are captured:

[0084] Numerical model simulation of winter bottom sea temperature changes in Beibu Gulf marine ranches under different tidal conditions Figure 8 As shown in the figure, under the condition of no tide, the water bodies with higher temperature in the southern part of Beibu Gulf are connected into a warm pool with unclear structure, and a large number of small and discontinuous water masses appear, which make the sea surface temperature look rough; under the condition of adding tidal forcing, the number of such discontinuous small water masses decreases, and the continuity of sea surface temperature is better, which better simulates the structure of the bottom warm pool of Beibu Gulf Marine Ranch. The reason may be that tidal forcing makes the water bodies in Beibu Gulf fully mixed, while the mixing of seawater bodies will be greatly reduced when tidal forcing is not considered. It may also be affected by the east and northeast winds in Beibu Gulf. The high-frequency strong wind process in winter will change the distribution of the circulation in the southern part of Beibu Gulf, which will affect the strength of seawater exchange in Beibu Gulf. In short, after adding tides, the simulation effect of the bottom temperature of Beibu Gulf Marine Ranch in winter is better than that without tidal forcing, and the simulation results highlight the characteristics of the seabed temperature change in Beibu Gulf.

[0085] The above are only embodiments of the present invention, and the common knowledge such as the known specific structures and / or characteristics in the scheme are not described in detail here. It should be pointed out that for those skilled in the art, several deformations and improvements can be made without departing from the structure of the present invention, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A method for monitoring abnormal sea temperature in marine ranches under different tidal conditions, characterized in that: The steps include: S1. Construct a numerical model of the ocean ranch based on the three-dimensional baroclinic primitive equation model, and obtain the data and condition settings of the numerical model; S2. Design simulation experiments on the numerical model of marine ranching; S3. Verify and improve the constructed marine ranch numerical model.

2. The method for monitoring sea temperature anomalies in marine ranches under different tidal conditions according to claim 1, characterized in that: The data acquisition and condition setting method of step S1 is as follows: S1.

1. Select the numerical simulation area of ​​marine ranching and set the monitoring marine ranching area; S1.

2. Set up the numerical model grid for the ocean ranch; S1.

3. Set open boundary conditions for marine ranches; S1.4, set the initialization field of temperature and salinity of the ocean ranch; S1.

5. Set the tidal harmonic constants for the open boundaries.

3. The method for monitoring sea temperature anomalies in marine ranches under different tidal conditions according to claim 2, characterized in that: The simulation experiment design method of step S2 is as follows: S2.

1. Simulate the SST of the ocean ranch with numerical models without tidal forcing and monitor the SST anomalies; S2.

2. Consider the tidal forcing conditions and use numerical models to simulate the SST of the ocean ranch and monitor the abnormal SST.

4. The method for monitoring sea temperature anomalies in marine ranches under different tidal conditions according to claim 1, characterized in that: The verification and improvement method of step S3 is as follows: S3.

1. Verification of multi-point sea temperature monitoring by observation stations, using the sea temperature monitored by observation stations to compare the sea temperature output of numerical model simulation analysis and verification; S3.

2. Verify the sea surface temperature using reanalysis data. Use HYCOM reanalysis data to compare the sea surface temperature data with the numerical model simulation output for sea surface temperature analysis verification.

5. The method for monitoring sea temperature anomalies in marine ranches under different tidal conditions according to claim 1, characterized in that: The numerical model based on step S3 simulates the sea temperature of the ocean ranch section, simulates the internal structure of the ocean ranch temperature field under different tidal conditions, monitors the anomaly of the sea temperature section, and captures the ocean ranch warm pool and obvious cold water mass.

6. The method for monitoring sea temperature anomalies in marine ranches under different tidal conditions according to claim 1, characterized in that: The numerical model based on step S3 simulates the sea temperature over a large area of ​​the ocean ranch, simulates the seasonal changes of the ocean ranch under different tidal conditions, monitors seasonal anomalies of the sea temperature, and captures warm pools and obvious cold water masses in the ocean ranch.

7. The method for monitoring sea temperature anomalies in marine ranches under different tidal conditions according to claim 1, characterized in that: The numerical model based on step S3 simulates the sea temperature over a large area of ​​the ocean ranch, simulates the changes in the bottom sea temperature of the ocean ranch in winter under different tidal conditions, monitors the anomaly of the bottom sea temperature in winter, and captures the warm pool and obvious cold water mass of the ocean ranch.

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