KR20170044237A - System and method for estimating rainfall using a ship radar - Google Patents

Abstract

The present invention relates to a system to estimate torrential rain using marine radar and an estimating method thereof and, more specifically, relates to a system to estimate torrential rain using marine radar comprising: the marine radar emitting radio waves in a plan position indicator (PPI) method to observe an area of interest; a fence installed around the marine radar, removing clutters by reflecting downward beam generated by the marine radar; and an AD converter receiving predetermined signals from the marine radar, AD-converting the signals, and generating radar reflectance signals; and a torrential rain estimating server receiving the radar reflectance signals from the AD converter and generating and providing rainfall information of the area of interest by reflecting the radar reflectance signals to a preset rainfall information generating algorithm and to an estimating method thereof. According to the present invention, the system to estimate torrential rain using the marine radar and the estimating method thereof are capable of grasping the rainfall information of the area of interest at a maximum horizontal resolution of 50x50 m on a real time basis; thereby obtaining an effect of effectively coping with bad weather conditions such as heavy rain.

Description

TECHNICAL FIELD [0001] The present invention relates to a system and method for estimating local precipitation using a marine radar,

The present invention relates to a method of estimating local precipitation using a marine radar and more particularly to a method of estimating local precipitation using a marine radar, The present invention relates to a system for estimating local precipitation using a marine radar capable of effectively estimating and calculating local precipitation.

The present invention relates to a system for estimating local precipitation using a marine radar and a method for estimating the system.

A radar is a telemetry system that radiates electromagnetic waves toward a target and analyzes the signal reflected back to the target to track the position and intensity of the target. The radar is a remote observation device that measures a wide observation area (for example, an observation radius of 240 km in the case of a general weather radar) It is possible to measure it.

The weather radar uses a method of defining the magnitude of a signal reflected from a weather target such as rain or snow as a reflectivity and estimating the amount of precipitation from the reflectivity.

The reflectivity from the target is related to the size distribution of the droplets within the pulse volume emitted by the weather radar.

Since the rainfall on the ground is also a function of the size distribution of water droplets, the radar reflectivity and precipitation are ZR (z = AR ^b , where R is Rainrate (mm / h) and z is reflectivity (mm ⁶ , m ³ ) , And A and b are experiential values). Therefore, the amount of precipitation can be estimated and calculated from the radar reflectivity.

In general, the scanning of the weather radar has a planar position indicator (PPI) that fixes the elevation angle constantly and rotates the antenna, and a volume observation that is repeatedly observed while changing the antenna elevation angle.

On the other hand, volume observation is generally performed for meteorological observations.

Conventional weather radars rotate 360 degrees at a certain altitude angle, repeat the cycle of injecting the altitude angle up by 1 degree and rotating it 360 degrees, and the total rotation to 24 elevation angle usually takes about 5 to 15 minutes do.

This means that it takes a considerable amount of time to scan the same point after scanning for a specific point, and it is already a problem that the meaning of the observed data is lost when considering that the weather target often changes its position due to wind accompaniment have.

In addition, since the horizontal resolution is only 1 km x 1 km, there is a problem that it is difficult to analyze the local meteorological phenomena and to predict the short-term meteorological changes.

In addition, the conventional weather radar is difficult to observe due to the curvature of the earth near the surface of the earth. Therefore, the weather phenomenon located 1.5 ~ 3km above the ground like snow or tornado has a problem that it can not be detected.

These problems result in poor reliability in estimation of precipitation using radar or short-term forecast using the radar, and it is not possible to effectively cope with the occurrence of a bad weather such as a localized rainstorm.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a method of detecting a relatively small observation area using a marine radar having a high horizontal resolution by scanning a PPI (Planar Position Indicator) A system for estimating local precipitation using a marine radar capable of effectively estimating and calculating local precipitation by overcoming the problems and technically solving the problem that occurs when the marine radar is used for weather observation, The purpose is to provide.

Further, according to the present invention, the reflection value of a marine radar scanning an area of interest is reflected in a predetermined rainfall information generation algorithm to calculate a precipitation amount in a real-time region of interest, so that a local radar can be estimated and calculated locally, It is an object of the present invention to provide a system for estimating precipitation and an estimation method thereof.

In order to achieve the above object, a system for estimating local precipitation using a marine radar according to the present invention includes: a marine radar for scanning a region of interest by a PPI (Plan Position Indicator) method; A fence installed around the marine radar to reflect the downward beam generated by the marine radar to remove clutter; An AD converter for receiving a predetermined signal from the marine radar and then performing AD conversion to generate a radar reflectivity signal; And a local precipitation estimation server that receives the radar reflectivity signal from the AD converter and reflects the radar reflectivity signal to a preset rain information generation algorithm to generate and provide precipitation information of the area of interest.

At this time, the local precipitation estimation server includes: a radar reflectivity signal receiver receiving the radar reflectivity signal from the AD converter; A precipitation information generation unit for generating the local precipitation information by reflecting the radar reflectivity signal to the predetermined rainfall information generation algorithm; A GPS information receiver for receiving GPS information of a region of interest from the GPS; A GIS information receiving unit that receives GIS information of a region of interest from the GIS; And a screen output information generating unit for generating screen output information by processing the GPS information, the GIS information, and the precipitation information of the area of interest when the request to receive the precipitation information of the area of interest is received from the user terminal, .

The local precipitation estimation server may further include a storage unit for storing a rainfall information generation algorithm.

When the user inputs a request to access the local precipitation estimation server from the user terminal, the local precipitation estimation server performs an authentication procedure. When the user who has obtained the authentication inputs a request to receive precipitation information of a predetermined area of interest , And a central processing unit for processing the precipitation information of the area of interest to be provided in real time.

Meanwhile, when receiving the remote control request signal of the local precipitation estimation server from the user terminal that has obtained the authentication, the central processing unit preferably processes the remote control request so that the user terminal can remotely control the local precipitation estimation server.

And the fence includes: a reflecting surface for reflecting electromagnetic waves irradiated by the marine radar; And a fence support for supporting the reflecting surface.

At this time, the height of the fence support corresponds to the beam center line scanned by the marine radar, the size of the reflection surface corresponds to the physical size of the downward beam directed down the beam center line, and the horizontal angle of the reflection surface corresponds to the downward beam It is preferable to be smaller than the angle of angle.

In order to accomplish the above object, a method for estimating local precipitation using a marine radar according to the present invention comprises the steps of: irradiating a marine radar to a region of interest and reflecting a downward beam directed below a beam center line using a fence; (A); (B) the AD converter receives a predetermined signal from the marine radar and then performs AD conversion to generate a radar reflectivity signal; Wherein the local precipitation estimation server reflects the radar reflectivity signal converted by the step (B) in the predetermined rainfall information generation algorithm to generate precipitation information of the area of interest; And the local precipitation estimation server processes the precipitation information generated by the step (C) in association with the GIS information and the GPS information of the area of interest and generates screen output information, and the user who requests the precipitation information of the area of interest And (D) providing the terminal to the terminal.

(E) performing an authentication procedure when the local precipitation estimation server receives a request from the user terminal to access the local precipitation estimation server; And (F) when the user terminal obtains the authentication by the step (E), the local precipitation estimation server processes the local precipitation estimation server so that the user terminal can remotely control the local precipitation estimation server .

According to the present invention, the reflectivity value of a marine radar scanning an area of interest is reflected in a predetermined rainfall information generation algorithm to calculate the precipitation amount in a region of interest in real time, thereby effectively estimating local precipitation .

In addition, the present invention has an advantage of overcoming the problems of a conventional weather radar by observing a relatively small observation area using a marine radar having a high horizontal resolution and scanning it with a PPI (Plan Position Indicator) method.

In addition, the present invention has an advantage in that it can solve the problems that occur when the marine radar is used for meteorological observations, can effectively estimate and calculate local precipitation, and is convenient for transportation because of easy transportation and installation.

1 is a system diagram showing the overall configuration of a system for estimating local precipitation using a marine radar according to a preferred embodiment of the present invention;
FIGS. 2 and 3 are explanatory views showing a marine radar of the present invention performing a PPI (Plan Position Indicator) scan. FIG.
Figs. 4 and 5 are explanatory views illustrating the fence of the present invention; Fig.
FIG. 6 is a block diagram showing an internal configuration of the local precipitation estimation server of FIG. 1; FIG.
FIG. 7 is an explanatory diagram for explaining a precipitation information generating algorithm of the present invention; FIG.

Hereinafter, a preferred embodiment of a system for estimating local precipitation using a marine radar according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a system diagram showing an overall configuration of a system for estimating local precipitation using a marine radar according to a preferred embodiment of the present invention.

1, the present invention includes a marine radar 100, a fence (not shown), an AD converter 200, a local precipitation estimation server 300, a GPS 400, a GIS 500, and a user terminal 600 ).

The marine radar 100 is observed by scanning a region of interest using a PPI (Plan Position Indicator) method. The marine radar 100 includes a transmitter, an antenna, a receiver, and a viewer. The transmitter generates a high frequency signal, the antenna emits a signal into space and receives an echo reflected from the target, and the receiver amplifies the received signal to a sufficient magnitude to detect and utilize the received signal. A viewer is a dedicated monitor, and it is common to include a radar control unit internally. The marine radar 100 as described above has an advantage of being excellent in horizontal resolution and effective for analyzing a meteorological phenomenon close to the surface of the earth.

It is possible for the marine radar 100 to scan the space in which the target is located as a PPI SCAN once, as shown in Fig. 2, with a beam width of 20 degrees in the vertical direction, 0.95 degrees in the horizontal direction, or 3.9 degrees in the horizontal direction. 2 and 3 are explanatory diagrams showing that the marine radar 100 performs a Plan Position Indicator (PPI) scan.

3, since the marine radar 100 is originally intended to catch a marine target even in a situation where the ship rolls forward, backward, left and right, the vertical direction beam delivery mode is 10 degrees upward and 10 degrees downward The road will be dispatched. Therefore, if the beam center line is positioned so as to be parallel to the horizontal line, the downward beam is directed to the ground surface.

When a marine radar 100 is installed on the ground for local weather observation, a downward beam directed to the ground surface produces a CLUTTER signal that is independent of the desired meteorological phenomenon, Results.

Therefore, in order to overcome the above-described problem, the present invention includes a fence for reflecting a downward beam to remove a clutter signal.

That is, the fence is installed around the marine radar 100 and reflects the downward beam generated by the marine radar 100 to remove the clutter.

4 and 5 are explanatory diagrams illustrating the fence of the present invention.

As shown in these figures, the fence includes a reflecting surface for reflecting the electromagnetic waves irradiated by the marine radar and a fence support for supporting the reflecting surface.

At this time, the height of the fence support corresponds to the beam center line scanned by the marine radar, the size of the reflection surface corresponds to the physical size of the downward beam directed down the beam center line, and the horizontal angle of the reflection surface corresponds to the downward beam It is preferable to be smaller than the angle of angle.

4, the height of the fence support is made coincident with the center line of the beam, and the horizontal angle a of the reflection plane is smaller than the angle of the downward beam angle in a state in which the size of the fence reflection surface is adjusted in accordance with the physical size of the downward beam. It is possible to reflect and remove only the downward beam of the marine radar.

On the other hand, the downward beam of the marine radar toward the reflection surface of the fence is basically reflected by the SNELL'S LAW in a direction irrelevant to the radar antenna.

The A / D converter 200 receives a predetermined signal from the marine radar 100 and then AD-converts the signal to generate a radar reflectivity signal. Since the reflectivity signal in the marine radar is expressed by the RGB VIDEO signal according to the intensity thereof, the present invention uses the AD converter 200 to periodically CAPTURE the VIDEO signal output from the viewer of the marine radar to generate a BMP IMAGE FILE Conversion is saved.

Meanwhile, in the present invention, the VIDEO signal output from the viewer is a reflection signal represented by RGB, and it is necessary to scan only the MONOCHROME COLOR in order to distinguish the degree of reflectivity. In the present invention, And SCAN to convert the value to PIXEL, which is divided into 256 levels.

The specifications of the AD converter 200 are designed in consideration of the input / output signal characteristics of the marine radar 100. The RGB color resolution can correspond to RGB24, RGB16, RGB8, YUY2 and UYUV, and the PIXEL Rate can be up to 250 MPixel / s .

Since the antenna rotation speed of the marine radar (100) is maximum 24 RPM, the VIDEO can be SCAN up to 24 FPS. In the present invention, the AD converter 200 can adjust the SCAN RATE from 24 times per minute to once, and the result is sent to the local precipitation estimation server 300 and the local precipitation estimation server 300 calculates the FILE NAME And stores it in the form specified by the user such as BMP FILE.

The local precipitation estimation server 300 receives the radar reflectivity signal from the AD converter 200 and reflects the radar reflectivity signal to the predetermined rain information generation algorithm to generate and provide precipitation information of the area of interest. The local precipitation estimation server 300 will be described in more detail below with reference to the drawings.

The GPS 400 provides regional GPS information to the local precipitation estimation server 300.

The GIS 500 provides regional GIS information to the local precipitation estimation server 300.

FIG. 6 is a block diagram showing the internal structure of the local precipitation estimation server of FIG.

The local precipitation estimation server 300 includes a radar reflectivity signal receiving unit 310, a precipitation information generating unit 320, a GPS information receiving unit 330, a GIS information receiving unit 340, a screen output information generating unit 350, 360, and a storage unit 370.

The radar reflectivity signal receiving unit 310 receives a radar reflectivity signal from the AD converter 200.

The precipitation information generation unit 320 generates the local precipitation information by reflecting the radar reflectivity signal to the predetermined rainfall information generation algorithm.

Hereinafter, the rainfall information generation algorithm will be described in detail.

The left side of FIG. 7 shows the driving region of the original AD converter 200, and the center of the right side of FIG. 7 shows the AD converter 200 in which the ratio It is schematized that it is converted step by step from LEVEL_1 without reflected signal to LEVEL_256 which shows strongest reflection due to heavy rain.

As shown in FIG. 7, the reflectivity signal that appears according to the degree of precipitation may tend to be distributed in a specific level interval according to regional and seasonal characteristics, rather than being distributed evenly in stages from LEVEL_1 to LEVEL_256.

Therefore, according to the present invention, a user can designate a precipitation function so that when the entire SCAN region is viewed as 1 by the designated precipitation function, the entire region is transformed as it is, If you want to enlarge the SCAN area twice, you can enlarge the area from LEVEL_1 to LEVEL_128 by doubling the precipitation function as 2, as shown in the right figure.

By using the precipitation function, it is possible to accurately classify the degree of descent even if the precipitation does not decrease much depending on the regional and seasonal characteristics. The initial value of the precipitation function is 1, which is designed to be adjustable from 1 to 5.

Equation (1) is a radar equation for a meteorological target that fills a radar beam.

는 각각 레이더의 수평과 수직 빔 폭이고, r은 레이더와 샘플 볼륨까지 거리이며, h는 펄스 길이, g는 레이더 안테나 이득,

는 레이더의 전자기파 파장, P_r 은 레이더 수신부로부터 측정되어 나오는 전력값, Pt는 레이더가 방사한 전력값을 말한다. L은 모든 감쇄에 기인한 전손실(total loss)을 설명할 수 있는 항목이며, K는 매질의 반사와 관련된 복소 함수이다.here,

R is the distance between the radar and the sample volume, h is the pulse length, g is the radar antenna gain,

Is the electromagnetic wave wavelength of the radar, P _r is the power value measured from the radar receiver, and Pt is the power radiated by the radar. L is an element that can account for the total loss due to all attenuation, and K is a complex function related to the reflection of the medium.

다. 더 나아가서 숫자들(

)도 묶을 수 있다. You can make the radar equation fairly simple for a normally operating radar. This is because all variables related to a particular radar can be grouped together and treated as a single constant. The variables involved are P _t , g,

All. Further,

) Can also be bundled.

Then, [Expression 1] can be expressed by [Expression 2].

Here, the k value is a value that varies depending on the material, temperature, and radar wavelength. Temperatures and wavelengths do not have a significant impact, but precisely what needs to be considered and the type of material should be taken into account. If the radar is used and the temperature is under reasonable conditions, The value is 0.93.

Then, if we are primarily interested in the atmospheric water of ice rather than ice, then the K value is 1, so we have (Equation 3).

Here, C ₂ is different from C ₁ above. Equation (3) is an equation for a meteorological target that fills the radar beam. According to this equation, the received power is proportional to the radar reflection factor of the storm and is inversely proportional to the square of the distance. The stronger the storm, the stronger the reflection and the more power it receives. Distance change is also important.

Since the core of the present invention is to the radar reflectivity z, rearranging with respect to z results in (4).

The constant C ₃ in Equation (4) is a radar constant (unit: mm ⁶ / m ³ mW ^-1 km ^{-2 in a} RADAR CONSTANT). In the following, we will examine the radar reflectivity z for a while. Here, reflectivity is a meteorological variable that is determined by the size and number of particles in the sample volume.

It is convenient to narrow the number rather than the large range value of z. To do this, make the original linear function a log function. Therefore, the radar reflectivity Z can be defined as: " (5) "

For a Rayleigh scattering condition (when the radar cross sectional area is smaller than the wavelength), Z is a known characteristic.

or

Where D is the precipitation diameter [mm], and N (D) is the concentration number or size distribution of droplets per unit volume [m-3].

In the Marshall-Palmer relation, the size distribution provides an approximate distribution of the size distribution for raindrops as a function of the rainrate, while the distribution of the size indicates the distribution of the inverse exponential function type.

Here, N ₀ = 8000 / (m ³ mm), D is the diameter of the droplet (mm), and Lambda is obtained by Equation (8) and R is the rainfall rate -Rainrate (mm / h).

The inverse exponential distribution is shown graphically in [Table 1].

On the other hand, if [Equation 6] is substituted into [Equation 7], Equation 9 is generated.

인 감마 함수이다.On the other hand, if a well-known general solution to the infinite integral is found and applied in the integral table, it is expressed by the following equation (10). here,

Lt; / RTI >

Substituting Equations (9) and (10) results in Equation (11).

Therefore, if N ₀ and lambda are known, Z can be obtained from the equation (11). N ₀ and lambda can be measured by disdrometer or ZD-P method.

For example, when MP48 and [Equation 7] R = 25.4 mm / h,

From Equation (11)

Taking a common log to the above value, Z = 45.3 dBZ.

If the process of obtaining the radar reflectivity Z from the precipitation rate up to now is possible, it is possible to estimate the precipitation rate from the reflectivity inversely.

Rainfall rate is defined as the flow of a substance, such as rain on the surface, expressed as FR and expressed as the flow of rain per unit time per unit time (in kg / m ² s).

When N (D) is given, the rainfall rate -Rainrate is calculated as defined in [Equation 12].

Where m (D) is the mass of the same material, kg, N (D) is the size distribution of 1 / m ³ mm, and V (D) is the drop rate in m / s.

Substituting this into Equation (12)

[수학식 8]

&Quot; (8) "

[Equation 10] In the gamma function,

However, the Rain rate [R] is usually expressed as the depth of the rain per hour (mm / h). To find [R], divide Rainrate F _R by the density, change the unit of time, and change the depth to mm.

[unit]

The a and b derived from the falling velocity V (D) of the rain are expressed by the empirical equation of Atlas and Ulbrich in 1977 relating to this, and this is expressed by Equation (16).

When the Z-R relation is developed by combining the equations (11) and (15), R can be estimated from the radar reflectivity Z measurement value as shown in equation (17).

Then, the Z-R relation can be expressed as a power law form as shown in Equation (18).

In the present invention, the above-described equations are processed by a rainfall information generating algorithm to obtain rainfall rate -RAINRATE, that is, precipitation information from the reflectivity signal.

The GPS information receiving unit 330 receives the GPS information of the area of interest from the GPS 400. [

The GIS information receiving unit 340 receives GIS information of the area of interest from the GIS 500.

The screen output information generating unit 350 processes the GPS information, the GIS information, and the precipitation information of the area of interest, processes the processed information, and outputs the screen output information .

Since the precipitation information can be used to determine the latitude and longitude data when the observation area is initially set in the radar, each pixel on the horizontal coordinate can also be calculated by including latitude and longitude. Each PIXEL grid has its own latitude, longitude, and precipitation information. The screen output information generating unit 350 connects the GIS and the GPS to the PIXEL grid and performs interlocking processing so that the user can provide the user with the precipitation information like the specific geographical information.

When the central processing unit 360 receives a request to access the local precipitation estimation server from the user terminal 600, the central processing unit 360 performs an authentication procedure and inputs a request for the user who has obtained the authentication to receive precipitation information of a predetermined area of interest , It processes the precipitation information of the area of interest to be provided in real time.

The central processing unit 360 receives the remote control request signal of the local precipitation estimation server from the user terminal 600 that has obtained the authentication so that the user terminal 600 can remotely control the local precipitation estimation server . That is, the user can perform operations such as selection and movement of a region of interest, change of a precipitation function, control of a local weather radar system, and remote transmission of rainfall rate information through an Internet connection.

The storage unit 370 stores a rainfall information generation algorithm.

The present invention has been shown and described with respect to specific preferred embodiments thereof. However, the present invention is not limited to the above-described embodiments, and various changes and modifications may be made without departing from the technical spirit of the present invention by those skilled in the art. Accordingly, the scope of the present invention should be construed as being determined not by the specific embodiments but by the appended claims.

100: Marine radar 200: AD converter
300: local precipitation estimation server 310: radar reflectivity signal receiver
320: precipitation information generating unit 330: GPS information receiving unit
340: GIS information receiving unit 350: Screen output information generating unit
360: central processing unit 370:
400: GPS 500: GIS
600: User terminal

Claims (20)

Marine radar observing areas of interest;
A fence installed around the marine radar;
An AD converter for receiving a predetermined signal from the marine radar and then performing AD conversion to generate a radar reflectivity signal; And
And a local precipitation estimation server that receives the radar reflectivity signal from the AD converter and reflects the radar reflectivity signal to a preset rain information generation algorithm to generate and provide precipitation information of the area of interest, To estimate local precipitation.
The navigation system according to claim 1,
Wherein the region of interest is scanned by a PPI (Plan Position Indicator) method and observed.
The method of claim 1,
And the clutter is removed by reflecting the downward beam generated by the marine radar. ≪ Desc / Clms Page number 15 >
The system of claim 1, wherein the local precipitation estimating server comprises:
A radar reflectivity signal receiver receiving the radar reflectivity signal from the AD converter;
A precipitation information generation unit for generating the local precipitation information by reflecting the radar reflectivity signal to the predetermined rainfall information generation algorithm;
A GPS information receiver for receiving GPS information of a region of interest from the GPS;
A GIS information receiving unit that receives GIS information of a region of interest from the GIS; And
A screen output information generating unit for generating a screen output information after processing the GPS information, the GIS information, and the precipitation information of the area of interest when the request for receiving the precipitation information of the interest area is received from the user terminal; And estimating local precipitation using a marine radar.
5. The method of claim 4, wherein the local precipitation estimating server comprises:
And a storage unit in which a rainfall information generating algorithm is stored, wherein the local rainfall estimating unit estimates local rainfall using a marine radar.
6. The method of claim 5, wherein the local precipitation estimating server comprises:
And a central processing unit for performing an authentication procedure upon receiving a request from the user terminal to access the local precipitation estimation server. 7. The apparatus of claim 6,
Wherein when the user who has performed the authentication procedure and obtains the authentication inputs a request to receive precipitation information of a predetermined area of interest, it processes the precipitation information of the area of interest to be provided in real time, A system for estimating precipitation.
8. The apparatus according to claim 7,
When receiving the remote control request signal of the local precipitation estimation server from the user terminal that has obtained the authentication, processes the remote control request so that the user terminal can control the local precipitation estimation server remotely. System.
The method of claim 1,
A reflecting surface for reflecting electromagnetic waves irradiated by the marine radar; And
And a fence support for supporting the reflecting surface. ≪ Desc / Clms Page number 15 >
10. The method of claim 9,
The height of the fence support corresponds to the beam centerline scanned by the marine radar, the size of the reflection surface corresponds to the physical size of the downward beam directed below the beam centerline, and the horizontal angle of the reflection surface is the angle of the downward beam angle The system estimates local precipitation using a marine radar that is smaller than the crest.
(A) scanning the area of interest with an ocean radar to observe;
(C) receiving a predetermined signal from the marine radar, and then AD converting the AD converter to generate a radar reflectivity signal;
(D) receiving a radar reflectivity signal from the AD converter and receiving the radar reflectivity signal and reflecting the radar reflectivity signal to a preset rain information generation algorithm to generate and provide precipitation information of the area of interest A method for estimating local precipitation using a marine radar feature.
The method of claim 11, wherein the marine radar comprises:
Wherein the region of interest is scanned by a PPI (Plan Position Indicator) method and observed.
12. The method of claim 11, further comprising, between step (A) and step (C)
Further comprising the step of: (B) removing a clutter by reflecting a downward beam generated by the marine radar to a fence installed around the marine radar to estimate local precipitation using a marine radar How to.
12. The method of claim 11,
The step (D)
Receiving a radar reflectivity signal from the AD converter;
Generating the local precipitation information by reflecting the radar reflectivity signal to the rainfall information generation algorithm set by the precipitation information generation unit;
Receiving GPS information of the area of interest from the GPS;
Receiving the GIS information of the area of interest from the GIS;
Generating screen output information by processing the GPS information, the GIS information, and the precipitation information of the area of interest when the screen output information generating unit receives a request for receiving the precipitation information of the area of interest from the user terminal; And estimating local precipitation using a marine radar.
12. The method of claim 11,
Further comprising the step of storing the rainfall information generating algorithm in a storage unit.
12. The method of claim 11,
Further comprising the step of: (E) performing an authentication procedure when the local precipitation estimation server receives a request from the user terminal to access the local precipitation estimation server, wherein the local precipitation estimation server How to.
17. The method of claim 16,
And (F) when the user terminal obtains the authentication by the step (E), the local precipitation estimation server processes the local precipitation estimation server so that the user terminal can remotely control the local precipitation estimation server A method of estimating local precipitation using marine radar.
18. The method of claim 17,
And a step of processing the local precipitation estimation server so that the user terminal can remotely control the local precipitation estimation server when receiving the remote control request signal of the local precipitation estimation server from the authorized user terminal A method for estimating local precipitation using a marine radar feature.
12. The method of claim 11,
A reflecting surface for reflecting electromagnetic waves irradiated by the marine radar; And
And a fence support for supporting the reflective surface. ≪ Desc / Clms Page number 19 >
20. The method of claim 19,
The height of the fence support corresponds to the beam centerline scanned by the marine radar, the size of the reflection surface corresponds to the physical size of the downward beam directed below the beam centerline, and the horizontal angle of the reflection surface is the angle of the downward beam angle Wherein the method further comprises the step of estimating local precipitation using a marine radar.

Images