KR20170017655A

KR20170017655A - Methods for production of tidal stream atlases using the Digital Tidal Stream Atlas S/W

Info

Publication number: KR20170017655A
Application number: KR1020150111890A
Authority: KR
Inventors: 변도성
Original assignee: 대한민국(해양수산부 국립해양조사원장)
Priority date: 2015-08-06
Filing date: 2015-08-06
Publication date: 2017-02-15

Abstract

The present invention relates to a method of producing a lunar map by lunar (sun) time based on a "numerical algae map" which is a bird / tide prediction software using algae / tidal grid harmonic constant data developed by National Oceanographic Research Institute. In order to estimate the lunar conditions for the lunar (sun) time for the horizontal space including the intertidal zone for the mean early, mean middle, and early average period, the numerical tide was first calculated from the input tide / And a method for producing harmonic constant data for the input. In addition, the method of predicting the tidal current and tidal current for predicting the tidal current for the mean tidal, early tidal and mean tidal current irrespective of the estimated time, This paper deals with a method for realizing a tidal field in the intertidal zone where the car is flooded and exposed widely in the large sea area, especially during the early period. Using the above-described algal anomaly estimation method, not only the production of algae on the basis of time passing through the regional standard meridian of the Moon, which is a publication standard of the National Oceanographic Research Institute, but also the production of algae, It is also possible to produce algae. In addition, birds can provide a method of estimating the strongest crematorium and the strongest droughts in the sea area.

Description

(Digital Tidal Stream Atlas S / W) for digital tidal stream atlases

The present invention relates to a method of producing a lunar map by lunar (sun) time based on a "numerical algae map" which is a bird / tide prediction software using algae / tidal grid harmonic constant data developed by National Oceanographic Research Institute. In this paper, we propose an algorithm for predicting algae and tidal flats in numerical algae in order to estimate algae length, And to a method for producing algae for each given lunar (sun) time using data of grid harmonic constant data. In addition to the method of making the tide passing through the local standard meridian image of the moon, which is produced by the National Oceanographic Research Institute, it is also possible to produce a tidal map based on the time of high tide of the nearby reference tidal station It's about how you can. In addition, this paper deals with a method for realizing a tidal field in the tidal zone where the tidal flats are largely developed when the tidal currents are produced by these methods. Finally, this paper deals with the method of estimating the strongest creatures and strongest tidal currents for each lattice region using the tidal fl ow constants.

Since 2003, the National Oceanographic Research Institute has been publishing a 'bird' map 'for each of the major harbors for the mean early, mean early, and average preliminary stages based on the numerical bird model simulation results for coastal and harbor areas in Korea. This tidal current is a number of bibliographies containing the tidal currents for the mean tidal, mean tidal, and mean tidal gates for the sea area.

Past numerical model code in tidal prediction module figures when estimating the bird section needed to also manufacture a bird performs a tidal model, the time zones based on an arbitrary time to pass the area of moon standard meridian M ₂ bunjo without A method of estimating an arbitrary rise time by adding the average rise interval obtained from the crust can be used. That is, the birds also the obtained the time on the time that is heightened from time series tide prediction data for the nearest lattice point numerical model conditioning the observed water level data of that point from the perspective exploded M ₂ in any of the reference water level station in the production area The mean height interval from the crust of the granite is calculated and subtracted by the average height interval to find the time when the moon passes through the regional standard meridian. This time is the time when the moon passed the local standard meridian (135 ° E in Korea) (lunar 0:00), and estimates and stores the algae field at intervals of lunation based on this time. In order to accurately determine the lag time of the lunation at the computation time in the numerical model and to calculate the bird longevity from lunation 1 to 11 at lunation interval based on this period, There is a drawback to storing the data. Also, since frequent stored data can be used to determine the timing of the elevation of the numerical model, the calculation process is somewhat complicated until the bird field is calculated for the time.

On the other hand, when a tidal model is constructed and executed by using the tidal prediction algorithm module, the numerical model can easily and accurately predict the algae and tide of the grid at arbitrary time. However, The tuning of the numerical model is required through a lot of trial and error such as the correction of the parameter input value.

The harmonic constant data for the input of 16 numerical algae maps developed by the National Oceanographic Research Institute are the harmoniously decomposed data of the simulation results of the proven numerical model. In other words, similar to the method of harmonic decomposition of time series observation data (seawater flow and height of sea level) and as a result of predicting algae and tide, numerical algae are performed by numerical tide model, Predict algae and tide by lattice using the result of harmonic decomposition of data. Numerical algebraic model based on numerical algae model The lattice harmonic constant data for each classification is produced through many trial and error such as comparison, verification and re - execution with various observation data, and the accuracy of prediction is relatively high.

The UK National Oceanography Center (NOC), formerly the Proudman Oceanographic Laboratory, developed 'POLPRED' software, which allows for the prediction of arbitrary tidal currents with similar features to digital tidal currents. However, this POLPRED does not have a function of calculating the bird field for any selected area required for the bird production, but instead, the reference time (0 o'clock) There is a function of calculating 'tidal diamond' which shows the direction and intensity value of the tide at intervals of one hour from 6:00 to 6:00.

Currently, the strongest creatures and strongest tidal streams are calculated from 12 (13) tidal algae results calculated at 1 hour intervals, so that the strongest creatures with the strongest intensity occurring within this time interval and the strongest tidal stream can not be calculated. In order to estimate the strongest creatures and strongest tidal currents directly by using the numerical tide model, it is necessary to know the timing of the creatures and the tidal currents in the horizontal space, It is possible to estimate the strongest velocity of stars. The UK NOC's POLPRED program does not have the strongest window and duck flow calculation module.

Therefore, although the above-mentioned method of producing the algae using the conventional numerical tide model directly or the method of the UK NOC takes a considerable time because of a relatively complicated calculation process, the method according to the present invention allows the input tidal- Modification of constants and forecasting module makes it easy to create algae and strongest windows and mudflows.

National Oceanographic Research Institute, 2007: Production of numerical algae. 159p. National Oceanographic Research Institute, 2013: Report on the Establishment of Integrated System of Ocean Observation Information System - Chapter 2. 5-27 ~ 5-38p. National Oceanographic Research Institute, 2015: Bird Diagram (Yeosu Port and Yeosu Sea Bay). 57p. Byun, D.-S., and C.W. Cho, 2009: Exploring conventional tidal prediction schemes for improved coastal numerical forecast modeling. Ocean Modeling, 28, 193-202. Bell, C. and L. Carlin, 1998: Generation of UK Tidal Stream Atlases from regularly gridded hydrodynamic modeled data. The Journal of Navigation, 51, 73-78. Foreman, M.G.G., 1978: Manual for Tidal Currents Analysis and Prediction. Pacific Marine Science Report 78-6, Institute of Ocean Sciences, Patricia Bay, Sydney, 57p.

The present invention relates to a numerical model of a "digital algae" software developed by the National Oceanographic Research Institute, not the production of algae by lunation for the production of algae by simulating a numerical tide model for the existing average, early, middle, The purpose of this study is to provide a method of producing a 'bird' map 'through a lattice bird / tidal harmonic constant data and a modified bird / tide prediction algorithm.

'Numerical algae' which is currently being developed and used actively by domestic related organizations is composed of 16 tributary algae · tidal harmonic constants (amplitude and crust) produced by numerical tide model of at least 250m grid depth, To estimate the tide and tide relatively accurately at intervals of at least 10 minutes. Similar to the 'POLPRED' software developed by NOC in the UK, the harmonic prediction algorithm in the numerical algae map has an effect of varying the hardness of the intersection point in a period of 18.61 years, It is possible to predict the tide and tide precisely at a specific time when the tide / tide harmonic constant is correct.

As a result, the value of the bird field estimated from the numerical algae is different for each period (early, mid, late, and early). Using this program, it is possible to estimate the precise algae length at a specific time, It is not possible to produce the algae map having a certain representative value for the sake tank and the average soda ash. This requires a separate calculation process. In particular, the United Kingdom and others produce algae for the mean early and mean sowing stages, but do not produce early bird algae for the mean.

In addition, because the current tidal currents predict the tidal currents and tides based on the harmonic constant, if the harmonic constant exists in the sea lattice, the tidal currents and tidal values calculated in the grid are displayed even when the bottom surface is exposed, do. The numerical tidal model can be used to simulate sea bottom exposure and submergence due to inundation by wet and dry scheme. However, current tidal currents are not sufficient to produce harmonic constants for the intertidal zone. , It is not possible to represent the tidal flats in the intertidal zone where exposure and submergence of the seafloor are repetitive because it is predicted based on the lattice harmonic constant which is the result of the numerical tide model.

In addition, there is no function of calculating the tidal current field for the strongest creatures and strongest tidal currents, so the tidal current can not produce the strongest creatures and the strongest tidal currents in the book. In addition, the strongest window and tidal stream recorded in the tide book was calculated after dividing twelve algae data for each lattice calculated for each lunation into creatures and tributaries, so that the strongest window · You can not calculate tributary items.

Many advanced maritime organizations such as the US, France, and Japan produce lattice algae, tidal flat harmonization data for accurate bulbs or offshore waters in Korea and provide them through web pages. The well known harmonic constant data available on the Internet are as follows. TPX0 ( http://volkov.oce.orst.edu/tides/ ) data with 13 harmonic constants with 1 ° / 4 horizontal grid resolution, 32 harmonic constants with 1 ° / 16 horizontal grid resolution FES2012 (http://www.aviso.altimetry.fr / en / data / products / auxiliary-products / global-tide-fes.html) data, up to 1 ° / 12 horizontal resolution grid 16 having a constant blend of bunjo ( Http://www.miz.nao.ac.jp/staffs/nao99/index En . Html ), but currently the program can not read these data directly. Therefore, And algae can not be utilized for production.

The present invention configured to achieve the above-described object is as follows. First, the method of producing algae on the basis of the numerical algae map according to the present invention is as follows. (A) The numerical algae are calculated by using the lattice harmonic constants (amplitude and perception) Generating an input algae / tidal harmonic constant data necessary for predicting algae per an early lattice; (b) Estimating algae by lattice based on the time at which the moon passes through the meridian of the standard time reference (lunar 0:00) by the average, early, middle, and small digits; (c) Estimating the algae length based on the height of the reference tidal station in the tidal currents production area by the average, early, middle, and average sowing stages; (d) treating the bottom of the bird so that when the bottom surface is exposed, the algae are not expressed; And (e) calculating the strongest creation stream and the strongest dredging stream for the tidal range.

As described above, in the step (a) of the composition according to the present invention, the harmonic constant generation formula used in estimating the tides corresponding to the average early stage, the middle early stage, and the average slow stage in the National Oceanographic Research Institute Using the M ₂ and S ₂ algae amplitudes of the u and v flow velocity components of the input tidal lattice tide and tidal hose constant data, the amplitudes for the corresponding time periods (average, early, middle, and average) are generated And generating an input algae / tidal harmonic constant necessary for predicting the mean band, the mean band, and the average binocular using the M ₂ perception of each of the al flow rate component and the v flow component.

Also, in the step (b) according to the present invention, the time at which the moon passes through the meridian of the reference time (lunar at 0:00) on a given day for each of the mean, early, middle, , Or use data provided by Korea Astronomy and Space Science Institute for years to predict the passage time of the Moon meridian. And estimating twelve algae fields at intervals of one hour of luncheon using the algae / tidal harmonization prediction algorithm that does not take into account the effect of varying the longitude of the lunar intersection at a period of 18.61 based on this time.

Then, in step (c) according to the present invention, the high tide time estimated by the M ₂ tidal harmonic constant of the lattice point closest to the arbitrary reference tidal observatory in the tidal current production area by the mean early stage, (Or sun) from left to right on an hourly basis using the algae / tidal harmonization algorithm, which does not take into account the effect of varying the longitude of the month at 18.61 years. (Or sun-6 o'clock to sun + 6 o'clock) and 12 (or 13) birds.

In the step (d) according to the present invention, the numerical model of the numerical model based on the average sea level of the numerical tidal model used to generate the algae / tidal lattice harmonic constant data, which is the input numerical algae data, And treating the bird so that when the bottom surface is exposed, the algae are not expressed.

In the step (e) according to the present invention, the equilibrium phase angle of the M ₂ division of a given day is matched with the algebraic elliptical crust of the M ₂ division, And the step of estimating the average early tidal currents (strongest tidal currents) at the time of 6 hours and 12 minutes plus the time of the strongest creatures per these lattices.

The present invention utilizes the prediction function of the 'numerical algae map' developed and operated by the National Oceanographic Research Institute and the grid hatching constant data for the input, so that it can be applied to the average, early, It is possible to provide a method for estimating algae for each lunation time in the horizontal space including the intertidal zone. In particular, if the grid habit constants for input of numerical tidal maps are updated, or if there are data produced by external agencies, they can be used to provide a way to easily create tidal maps for any waters where harmonic constants are present have. Also, birds can provide a way to estimate the strongest creations and the strongest droughts in the launch area.

FIG. 1 is a flow chart showing the configuration of a tidal-current generating method according to the present invention.
FIG. 2 is a flowchart illustrating a method of generating a tidal harmonic constant for a tidal algae according to an embodiment of the present invention and the amplitude and the crust of the M ₂ tangent line, the amplitude of the S ₂ tangent line This is a flow chart showing the process of generating lattice algae / tidal harmonic constant data necessary for prediction by average, early average, early average, and small average using data alone.
FIG. 3 is a flowchart of a method for estimating a bird's day length at each lunation based on a time at which a moon passes through a meridian at a reference time on an arbitrary day according to the present invention.
FIG. 4 is a flowchart of a method for estimating a bird's day length according to lunar (sun) time on the basis of an arbitrary reference tidal-observing station elevation time within an algae producing area on an arbitrary day according to the present invention.
FIG. 5 is a flow chart showing a process of a method for showing a tidal zone of a tidal flat according to the present invention.
6 is a flow chart showing a process of a method for estimating the strongest window and droughts according to the present invention.
FIG. 7 is a flow chart showing a process of outputting and storing a result of a method according to the present invention.

Hereinafter, based on the tidal-tidal prediction method of the "numerical algae map" developed by the existing National Oceanographic Research Institute according to the embodiment of the present invention, The method of producing the algae for each lunation according to the premise will be described in detail with reference to the accompanying drawings.

FIG. 1 is a flow chart showing the configuration of a tidal-current generating method according to the present invention. 2 is early in the 'numerical birds even' input birds of various bunjo, tidal conditioner constant material grid per M ₂ bunjo amplitude and perception of using only the amplitude data of the S ₂ bunjo balance beam early Average according to the present invention, the average This is a flow chart showing a process of generating a lattice algae / tidal harmonic constant data necessary for the production of algae for each lunar phase by small eruption. In addition to using algae / tidal harmonic constant data used in 'Digital Algae Diagram', numerical algae diagrams are also provided so that the lattice harmonic constant data produced by the numerical tide modeling performed outside can be used for 'numerical algae diagram' Into an input format. In this case, if the criterion of the subordinates ( i ) to be used for prediction is not the local standard meridian standard, then the perception criterion for each subgroup is checked and standardized. ( g _i ).

Use the following equation (1) to convert Greenwich perception ( G _i ) criterion to local standard meridional perception ( g _i ) criterion.

Here, S is the standard meridional hardness of the observation point and has positive (+) sign when it is longitude and negative (-) sign when it is longitude. a _i is the angular velocity of the granule (° / hr), and i ₀ is the hour angle coefficient of the mean sun. For example, one week is 1 and half day is 2.

To convert the local perception ( K _i ) criterion to the local standard meridional perception ( g _i ), use the following equation (2).

Here, L is the hardness of the observation point and has positive (+) sign when it is longitude and negative (-) sign when it is longitude.

Next, a method for generating a tidal current based on the moon meridian passage time of a tidal current designated by using input tidal / tidal harmonic constant data of a digital tidal current map without direct execution of a numerical tidal model, (B) randomly calculating the time at which the moon passes through the meridian phase of the standard time reference on a given day, and calculating the visual perspective of a lunar 1 hours the sun not interval lunar 23:00 o'clock on the basis, (c) a bird, without considering the effect that varies depending on the hardness of the month intersection 18.61 year cycle in tidal prediction algorithm M ₂ (D) the time taken to calculate the equilibrium argument of the moon, (d) Well midnight lunar estimated the bird by the grid along at 11), and consists of a process of expressing a bird with an arrow on the screen to select the grid spacing.

In order to obtain the lattice tidal values necessary for the tidal current for the mean tidal, early tidal, and mean tidal tidal currents through the numerical model simulation, along the open boundary of the numerical tidal model, the following tidal harmonic constants of M ₂ and S ₂ And the new harmonic constant using the tidal force (forcing). Therefore, the same method can be used to produce the algae harmonic constant data for the u-velocity component and the v-velocity component, respectively, required for the prediction.

(N = 1): (M ₂ amplitude + S ₂ amplitude), M ₂ perception

Mean early (n = 2): M ₂ amplitude, M ₂ perception

In the case of the mean SOD (n = 3): (M ₂ amplitude - S ₂ amplitude), M ₂ perception

FIG. 3 shows that the meridian passage time of the Moon according to the present invention can be directly calculated using a related calculation program, or it can be utilized in its own way or in advance by the Korean astronomical research institute, as shown in the algae chart published by the National Oceanographic Research Institute . In order to predict the tidal field for the mean early, mean early, and mean tidal periods irrespective of the predicted time, the following equation was used to calculate the nodal modulation correction ) of lunar M ₂ bunjo of intersection factor (nodal factor,

) And the intersection angle (nodal angle,

). In other words,

to be.

The algae component u ( t ) for the x direction for an arbitrary time t can be predicted using the following equation (3).

The algae component v ( t ) for the y direction for any time t can be predicted using the following equation (4).

here,

,

and

Is the amplitude of the algae component v over time n,

Wow

Bird component v crust of about n time, t ₀ is an arbitrary reference time (reference time), t 'is a time elapsed from the reference time (t', it expressed in Coordinated Universal Time = t - t _0),

(DEG / hr) of the M ₂ jetting,

(N = 1), mean early (n = 2), and mean (n = 3) represent the equilibrium argument of the M ₂ subdivision. The tidal prediction ( h (t)) can be predicted using the following equation (5) in the same manner as the above bird prediction.

here,

Is the amplitude of the tide for the n period,

Is the perception of M ₂ tide.

The tidal currents of the moon meridian passing time reference are calculated by using the tidal equations of equations (3) and (4), and the values of u, v for each lattice from 0 to 11 Estimating the algae component, and then synthesizing and estimating the algae.

FIG. 4 is a graph showing the relationship between the average early stage, the average early stage, and the average early stage of the arbitrary reference tide station located within the tidal range to be issued according to the present invention, (A) the equilibrium phase of the M ₂ tank for 13 hours at intervals of one minute on a randomly selected day at the harmonic constant grid point corresponding to the location of the reference tidal station selected in the tidal- Each ( Greenwich (

), And then, from these results, the M ₂ tidal crust of the corresponding lattice point

), Or by using the M ₂ tidal harmonic constant (amplitude and crust) and the prediction algorithm (Equation 5) at the corresponding harmonic constant lattice point, (B) the lunation (or sun) time interval (about 1.0350501 hr in the sun) from left to right on the basis of the time of high altitude, (C) the effect of varying the longitude of the month at 18.61 years in the algae prediction algorithm, and (5) the equilibrium parameter of the M ₂ -dimension ( Greenwich (

(D) Estimating algae by lattice according to the time (lunation -5 o'clock to lunation 6 o'clock) calculated based on the reference time of the reference tide station selected by the average early stage, the middle early stage and the average slow stage Process.

In the numerical tide model, a wet and dry scheme is used to simulate the physical marine phenomenon in the intertidal zone where flooding and exposure are repeated at different times of the tide. Thus, FIG. 5 shows an example of an arbitrary water depth (for example, -5 m) of each lattice depth (the water depth is negative (-)) based on the average sea level used in the numerical model, Only the negative values (-) of the predicted tides for the lattice are compared, and if the predicted tidal value is smaller than or equal to the depth of the corresponding lattice, the seabed is exposed to the atmosphere and processed as no algae .

6 is to estimate the strongest changjoryu Berry strongest ebb ryujang according to the invention, respectively, (a) for 13 hours at one-minute intervals, optionally on a given day of the ₂ M bunjo equilibrium phase angle (Greenwich (

)), And then the perception of M ₂ algae

), (B) the process of estimating the tidal current (strongest creature) for each grid, (c) adding 6 hours and 12 minutes to the time of the strongest creature in each grid And a process of estimating the tidal currents (the strongest tidal currents). Usually, each bird (u + vi) is subjected to bird elliptic harmonic decomposition to obtain the half axis, half axis, inclination angle, and perception information. Among them, the perception of M ₂ algae

) Is closely related to the viewpoint of the strongest creature. That is, the equilibrium phase angle of the M ₂ -digit (Greenwich (

)) Is the perception of M ₂ algae for each lattice

) Is a time at which the strongest creature occurs, so that the tide for these times can be estimated from equations (3) and (4) to become the strongest creator. Also, in the sea area dominated by the anti-day cast, the strongest creatures and the strongest dams are repeatedly generated at a period of 6 hours and 12 minutes. Therefore, the strongest dams are generated at the time of 6 hours and 12 minutes It becomes time. Therefore, using the equations (3) and (4), estimating the algae for each of the lattices is the strongest droughts.

FIG. 7 is a graph showing the relationship between the lunar arrows of the lunar arrows according to the present invention, · It consists of a process that can be stored as vector image and numerical data so that it can be produced.

S100: Numerical tidal current and tidal current (mean, medium, small)
S200: Estimated bird longevity estimation module at lunar meridian passage
S300: Lunar Guidance module for lunar (sun) time by high altitude
S400: Intertidal bird city module
S500: Estimation of the strongest window,
S600: Birdhouse and strongest window · Drainage screen output and storage module

Claims

A method for generating algae / tidal harmonic constant data for input of 'digital algae map' developed by National Oceanographic Research Institute,
(a) A tidal stream model, a tidal stream model (in ASCII or NetCDF format), as well as algae and tide released on the Internet, as well as the algae produced by harmonic analysis Generating a harmonic constant file (ASCII or netCDF format) according to the standard input file format so that the numerical algae can be read and executed by the program; And
(b) In the process of generating the lattice harmonic constant input file of (a), when the corresponding tidal / tidal threshold of the lunation product is not a local standard time meridian standard, the local standard time meridian standard And 135 ° E in Korea).

Using the harmonic constant data of the main two tributaries (M ₂ , S ₂ ) among the lattice tide and tidal harmonic constant data of the various tributaries of Paragraph 1, the mean tidal range, mean tidal mean, A method for generating a lumped harmonic constant data for a u-flow velocity component and a v-flow velocity component,
(a) The tidal range (latitude and longitude) to be plotted is set, and the harmonic constants (amplitude and crust) of the M ₂ algae granules for the u-velocity component in each x-direction and the v- S _{2 From} the amplitude information of the bird mass, we add the amplitudes of these weights for each lattice to generate an input file of the algae amplitude (M ₂ amplitude + S ₂ amplitude) and perception (M ₂ perception) ;
(b) The tidal range (latitude and longitude) to be plotted is set, and the harmonic constants (amplitude and crust) of the M ₂ algae granules for each of the u and v flow components in this region are used as they are Generating an input file of a bird's amplitude (M ₂ amplitude) and a crust (M ₂ crust) per lattice corresponding to an early stage of the mean; And
(c) a bird FIG area to be published (latitude, longitude), the setting and blend constant M ₂ birds bunjo for this region within each u velocity component and the v velocity component (amplitude and perception), S ₂ of the bird bunjo amplitude From the information, the amplitudes of these weights are added to the lattice to generate the input data of the crustal algae amplitude (M ₂ amplitude - S ₂ amplitude) and crust (M ₂ crustal) corresponding to the average sowing period for the selected region.

As for the tidal currents published by the National Oceanographic Research Institute, the mean, early, middle, and small mean values for the area selected at 1 hour intervals of lunation based on the time at which the moon passes through the regional standard meridian (135 ° E in Korea) In a method for estimating a bird algae field,
(a) Input the time of day (lunation 0 o'clock) at which the moon passes through the regional standard meridian (135 ° E in our country) on a given day, 1.0350501 hr at the time of the sun) to calculate the corresponding time of the sun at 11:00 am;
(b) In general, the tidal intersection factors for the M ₂ bunjo in unison prediction algorithm, which employs a blend suitable for use in exploded bird prediction (nodal factor,

) And the intersection angle (nodal angle,

) And the equilibrium argument of M ₂ (equilibrium argument, Greenwich (

(U, v) for an arbitrary given day using only one of the flow components (u, v);
(c) comparing the time obtained in the step (a) with the input file in the step (a) of the second step, using the tidal estimation method of the step (b) Estimating an algae (u, v) field;
(d) using the tidal estimation method of step (b) for the time obtained in the step (a) with the input file of the second step (b) Estimating an alga (u, v) field for the bird; And
(0 to 11) of the average sowing machine using the tidal estimation method of step (b) with respect to the time obtained in the step (a), together with the input file of the second step (c) (U, v) field for the first time.

The mean tidal current, mean tidal mean, and mean tidal average for the lunar (or sun) interval of -5 to 6 (or -6 to 6) In a method for estimating a bird field per small egg,
(a) selecting a lattice point (nearest) to an arbitrary reference tidal station in the tidal current region and using the M ₂ tidal harmonic constant at that point and the given arbitrary (13) hours at intervals of one minute based on the starting time of the day (0 o'clock), and then finding the time at which the tidal maximum becomes maximum The equilibrium phase angle of the M ₂ granule ( Greenwich ( ()) for 13 hours at 1 minute intervals from the start time (0 hour) of the arbitrarily selected day at the corresponding harmonic constant lattice point

)), And then, from these results, the M ₂ tidal crust

Finding the time of the most similar time with the time;
(b) calculating a difference between -5 to 6 time points (-6 to 6 time points) in the left and right lounges (or suns) at 1 hour intervals (about 1.0350501 hr in the sun) Calculating a time;
(c) a lunar (or sun) time-average value calculated in the above (b) through the algae estimation method of the fourth step (b) using the lunar bird amplitude and crustal angle calculated in the step (a) Estimating an early bird (u, v) field;
(or sun) time average calculated in the above (b) through the algae estimation method of the step (b) of paragraph (4) by using the bird's amplitude and perception of each lattice calculated in the step (b) Estimating a bird (u, v) field of the brewer; And
(e) The average of lunar (or sun) time-of-day (or sun) calculated in the above (b) through the algae estimation method of step 4 (b) using the bird's amplitude and perception of each lattice calculated in step Estimate the algae (u, v) field of the small precursor.

For lattice depths below arbitrary water depths (for example, -5 m) of arbitrary lattice depths (the water depths are negative (-)) based on the mean sea level used in the numerical model, (-), and if the predicted tidal value is less than or equal to the depth of the corresponding grid, the bottom surface is exposed to the atmosphere and treated as having no bird.

(0 to 12 hours or -5 to 6 hours) or solar hours (-6 to 6 hours) for the setting area estimated in the step (c) or the step (c) In the method of predicting the strongest creations and the strongest tributaries according to the grid,
(a) The equilibrium phase angle of the M ₂ granules (Greenwich, England) for 13 hours at intervals of 1 minute with reference to the start time (0 hour)

), And then one of the M ₂ algae elliptical components,

);
(b) estimating a bird (strongest creature) for a time found for each grid of (a) using the input file of (a) of the second paragraph and the prediction algorithm of (b) of the third paragraph. And
(C) Using the input file of the second step (a) and the prediction algorithm of the third step (b), calculate the time of 6 hours and 12 minutes plus the maximum creature occurrence time obtained in (a) And the like).

(A) an arrow having an intensity and a direction at a desired lattice spacing, and a number indicating a strength thereof in a computer screen As an editable vector image file (e.g., an EPS file) in a graphics specialist program in the city and the outside; And
(b) Adjusting the tidal arrow visibility so that the extracted tidal arrows can be drawn using an external graphic special program at each desired lattice interval to calculate the size and direction (or u velocity component, v velocity component) As a numerical data.