KR102185971B1 - Apparatus and method for providing ocean weather service - Google Patents

Abstract

It relates to a marine meteorological service providing method, wherein the method of providing a marine meteorological service includes receiving a first wave height model in the form of a numerical model from a meteorological server, and a first wave height model different from the first wave height model using the first wave height model. 2 It may include generating a coastal wave height model from the wave height model, and displaying the generated coastal wave height model as an image.

Description

Apparatus and method for providing marine meteorological service {APPARATUS AND METHOD FOR PROVIDING OCEAN WEATHER SERVICE}

The present application relates to an apparatus and method for providing marine meteorological services.

The Korean Peninsula is the topography of a peninsula surrounded by sea on three sides, showing various characteristics depending on the sea area. The west sea is relatively shallow, with a depth of less than 100m, so the change in water temperature is not large, but it is surrounded by land, so the difference in tides is large. It is characterized by being severe, but the difference in tides is small.

On the other hand, in the case of the ocean, unlike the ground, it is difficult to secure observation data. This is a situation where there is a lot of loss in deep water through a fixed observation method and frequent vessel observation is performed, but observation is difficult in situations such as severe weather. In order to overcome this problem, remote observations such as satellites are being made. However, due to the characteristics of remote observation, when the spatial and temporal resolution is low and there is an influence of clouds, it is difficult to secure observation data and only actual data can be obtained. For this reason, it is possible to analyze using predictive data through a numerical model, and depending on interest, an atmospheric model and a wave height model, which is an ocean model, can be used, and high-resolution numerical data can be used when limited to a local area such as the east coast. The need for technology is emerging.

The technology behind the present application is disclosed in Korean Patent Publication No. 10-1736915.

The present application is to solve the problems of the prior art described above, and by using a meteorological model and an ocean model to analyze the utilization and service of numerical model data for the ocean, the global weather forecasting model and the global wave height and The purpose of this study is to provide an apparatus and method for providing marine meteorological services to which the spatial and temporal scale reduction method is applied by extracting related variables from the prediction data of the local wave height model.

However, the technical problem to be achieved by the embodiments of the present application is not limited to the technical problems as described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, a method for providing a marine meteorological service according to an embodiment of the present application includes the steps of receiving a first wave height model in the form of a numerical model from a meteorological server, and using the first wave height model. It may include generating a coastal wave height model from a second wave height model having a resolution different from that of the first wave height model, and imaging and displaying the generated coastal wave height model.

In addition, the first wave height model may be an initial global wave height model, and the second wave height model may be an initial coastal wave height model.

In addition, the generating of the coastal wave height model may include overlapping the first coastal model and the second coastal model included in the second wave height model, and interpolating the first wave height model according to the grid of the second wave height model. (interpolation) synthesizing, extracting temporal and spatial features of the second wave height model received within the temporal information based on preset temporal information, and receiving the extracted temporal and spatial features after the temporal information It may include the step of generating the coastal wave height model after the time information including feature values by applying to the first wave height model.

In addition, the first wave height model and the second wave height model may include a plurality of variables, and the plurality of variables may include a sea wind direction, a sea wind speed, a wave height, a wave direction, a wave speed, and a wave interval.

In addition, the step of interpolating and synthesizing the first wave height model according to the grid of the second wave height model may be performed by an inverse distance weighted interpolation method.

In addition, the temporal and spatial characteristics of the second wave height model received within the time information may include the plurality of variables included in the second wave height model.

In addition, the step of producing the coastal wave height model after the time information including the feature value includes calculating a linear regression for each grid of the second wave height model received within the time information, and extracting the feature value, It is applied to a grid of one wave height model, and the feature value may include a slope value.

In addition, the step of producing the coastal wave height model after the time information is performed by a space scale reduction method, and the space scale reduction method is performed by Equations 1 to 3 below,

[Equation 1]

[Equation 2]

[Equation 3]

는 상기 시간 정보까지의 상기 제2 파고모델의 평균 변수값,

는 상기 시간 정보까지의 상기 제2 파고모델의 평균 변수값,

은 1km 해상도의 제1 파고모델의 변수값,

은 제2 파고모델의 변수값일 수 있다.Here, a is the slope value, b is the y-intercept, c is the variable value of the second wave height model, g is the variable value of the first wave height model, i is the prediction time to the time information,

Is the average variable value of the second wave height model up to the time information,

Is the average variable value of the second wave height model up to the time information,

Is the variable value of the first wave height model with a resolution of 1 km,

May be a variable value of the second wave height model.

In addition, receiving a meteorological model in the form of a numerical model from the meteorological server, extracting a plurality of variables included in the meteorological model with ASCII code, and matching the meteorological model to the grid of the second wave height model. It may further include the step of synthesizing by interpolation.

In addition, the plurality of variables may include air temperature, dew point temperature, surface temperature, wind direction, wind speed, humidity, atmospheric pressure, sky condition, radiation amount, and precipitation.

In addition, the step of interpolating and synthesizing the meteorological model according to the grid of the second wave height model may be performed by the reverse distance weighted interpolation method.

Meanwhile, as a marine meteorological service providing apparatus, a receiver receiving a first wave height model in the form of a numerical model from a meteorological server, and a coastal wave height from a second wave height model having a resolution different from that of the first wave height model using the first wave height model It may include a generating unit for generating a model and an extracting unit for displaying an image of the generated coastal wave height model.

As a technical means for achieving the above technical problem, the computer program according to the third aspect of the present application may be stored in a recording medium in order to execute the method for providing a marine meteorological service according to the first aspect of the present application.

The above-described problem solving means are merely exemplary and should not be construed as limiting the present application. In addition to the above-described exemplary embodiments, additional embodiments may exist in the drawings and detailed description of the invention.

According to the above-described problem solving means of the present application, by using a meteorological model and an ocean model to analyze the utilization and service of the numerical model data for ocean meteorological analysis, the marine leisure such as surfing, kiteboarding, fishing, skin scuba, etc. It is possible to calculate an index and has the effect of expressing it in two dimensions or in a time series.

However, the effect obtainable in the present application is not limited to the effects as described above, and other effects may exist.

1 is a schematic configuration diagram of an apparatus for providing a marine meteorological service according to an embodiment of the present application.
2 is a schematic block diagram of a generator of an apparatus for providing a marine meteorological service according to an embodiment of the present application.
3 is a view showing an initial global wave height model (a) and an initial coastal wave height model (b) of the same date, time and location according to an embodiment of the present application.
4 is a view showing a result (a) of an inverse distance weighted interpolation method of an initial global wave height model at the same date and time and a synthesis result (b) of an initial coastal wave height model according to an embodiment of the present application.
5 is a diagram schematically illustrating a method for reducing a space scale according to an embodiment of the present application.
6 is a view showing a result of a global wave height model after 72 hours according to an embodiment of the present application and a wave height distribution in which a spatial scale reduction method is performed using a grid of an initial coastal wave height model.
7 is a flowchart illustrating an operation of a method for controlling a marine meteorological service providing apparatus according to an exemplary embodiment of the present application.

Hereinafter, exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art may easily implement the present application. However, the present application may be implemented in various different forms and is not limited to the embodiments described herein. In addition, in the drawings, parts not related to the description are omitted in order to clearly describe the present application, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the present specification, when a part is said to be "connected" with another part, it is not only "directly connected", but also "electrically connected" or "indirectly connected" with another element interposed therebetween. "Including the case.

Throughout this specification, when a member is positioned "on", "upper", "upper", "under", "lower", and "lower" of another member, this means that a member is located on another member. It includes not only the case where they are in contact but also the case where another member exists between the two members.

Throughout the specification of the present application, when a certain part "includes" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

The present application relates to an apparatus and method for providing marine meteorological services. By using meteorological models and marine models to analyze the use and services of numerical model data for marine leisure such as surfing, kiteboarding, fishing, and skin scuba, the Meteorological Agency The present invention relates to an apparatus and method for providing marine meteorological service, which is a marine leisure support system that applies spatial and temporal scale reduction methods by extracting related variables from the global weather forecasting model and forecast data of the global and local wave height models.

The marine meteorological service providing apparatus and method according to an embodiment of the present application calculates an index for each leisure in order to intuitively express a direct relationship, and displays it in two dimensions or a time series, thereby frequently updating numerical data (1 It can be operated by real-time automation (twice a day).

1 is a schematic block diagram of an apparatus for providing marine meteorological services according to an embodiment of the present application, and FIG. 2 is a schematic block diagram of a generator of an apparatus for providing marine meteorological services according to an embodiment of the present application.

The marine meteorological service providing apparatus 100 according to an embodiment of the present application extracts related variables from the forecast data of the meteorological model and the marine model using the meteorological model and the marine model, and applies a spatial and temporal scale reduction technique, thereby making it more accurate. Can predict marine weather.

The marine meteorological service providing apparatus 100 may receive a meteorological model and a marine model from the meteorological server 10, where the meteorological server 10 collects and stores various numerical models operated by the meteorological agency for weather forecasting. It can mean a server for. The meteorological server 10 may periodically collect and store the meteorological models and ocean models used herein. In this case, various numerical models collected and stored by the meteorological server 10 may be in the form of GRIB or GRIB2 data. The GRIB data format is a standard standard determined by the World Meteorological Organization (WMO) for grid data calculated from a numerical model, and is a data format widely used in numerical forecasting centers around the world in binary format. In addition, GRIB2 refers to the newly provided format in 2001 by supplementing the GRIP format released in 1985.

The marine meteorological service providing apparatus 100 may communicate with the meteorological server 10 and the network 1. Network 1 refers to a wireless connection structure in which information exchange is possible between each node such as a terminal and a server, and examples of such networks include a 3rd Generation Partnership Project (3GPP) network and a Long Term Evolution (LTE) network. , 5G network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth It may include a (Bluetooth) network, a satellite broadcasting network, an analog broadcasting network, and a Digital Multimedia Broadcasting (DMB) network, but is not limited thereto.

The marine meteorological service providing apparatus 100 includes a receiving unit 110 receiving a first wave height model in the form of a numerical model from the meteorological server 10, and a second wave height different from the first wave height model using the first wave height model. It may include a generating unit 120 for generating a coastal wave height model from the model and an extraction unit 130 for displaying and imaged the generated coastal wave height model.

The marine meteorological service providing apparatus 100 may receive a first wave height model in the form of a numerical model from the meteorological server 10 through the receiving unit 110. Here, the first wave height model may be an initial light bulb wave height model.

In detail, the meteorological server operated by the Meteorological Administration can operate various ocean models. Since most marine leisure can be sensitive according to the weather condition of the sea level, it is preferable to use a wave height model in the marine meteorological service providing apparatus 100 according to an embodiment of the present application, but the present invention is not limited thereto.

In general, wave height models can be classified into global wave height model, regional wave height model, and coastal wave height model.The global wave height model only provides information related to sea wind, and there are five regional wave height models (sea wind, significant wave height, wave direction, Wavelength, mean wave period) can be provided. Since the wave height model, the global wave height model, the regional wave height model, and the coastal wave height model are already known technologies, detailed descriptions will be omitted.

In general, a light bulb wave height model has a low resolution but a long provision time, and a coastal wave height model has a disadvantage of a high resolution but a short provision time. Therefore, the marine meteorological service providing apparatus 100 according to an embodiment of the present application uses data for up to 3 days (72 hours) using a coastal wave height model, and data for 4 to 10 days is a global wave height model and a coastal wave height model. The wave height model can be calculated and utilized using the spatial scale reduction method. That is, in order to provide detailed information on marine leisure, the marine meteorological service providing apparatus 100 according to an embodiment of the present application performs spatial interpolation for a coastal wave height model, and prediction information after 72 hours is a global wave height model. Space scale reduction can be applied using the predicted information of. A detailed description of this will be described later.

The receiving unit 110 may receive a first wave height model in the form of a numerical model from the meteorological server 10, and the first wave height model may be an initial bulb wave height model. The initial light bulb wave height model may mean a light bulb wave height model in the form of a numerical model immediately after being received from the meteorological server 10.

In addition, the receiver 110 may receive a second wave height model in the form of a numerical model from the meteorological server 10. Here, the second wave height model may be an initial coastal wave height model, and the initial coastal wave height model may mean a coastal wave height model in the form of a numerical model immediately after being received from the meteorological server 10.

The generator 120 may generate a coastal wave height model from a second wave height model having a resolution different from that of the first wave height model by using the first wave height model. That is, the generation unit 120 may generate a coastal wave height model from an initial coastal wave height model, which is a second wave height model having a resolution different from that of the initial global wave height model, using the initial global wave height model as the first wave height model. Here, the coastal wave height model may mean a coastal wave height model, which is a numerical model to which a spatial scale reduction method is applied through the marine meteorological service providing apparatus 100 according to an embodiment of the present application.

2 is a view showing an initial bulb wave height model (a) and an initial coastal wave height model (b) of the same date, time and location according to an embodiment of the present application.

In detail, the generation unit 120 may generate a coastal wave height model from an initial coastal wave height model using the initial global wave height model, and the initial global wave height model may have a different resolution from the initial coastal wave height model. The initial bulb wave height model received from the receiver 110 has a resolution of about 55 km and can provide a wave height model twice a day for 288 hours (6 hour intervals), and the initial coastal wave height model has a resolution of about 1 km and twice a day. , It is possible to provide a wave height model for 72 hours (3 hour intervals). That is, the initial coastal wave height model has higher resolution than the initial global wave height model, but the time to provide an image may be as short as 3 days, and the initial light wave height model has a lower resolution than the initial coastal wave height model, but can provide an image. Time can be as long as 10 days or more. The generator 120 may generate a coastal wave height model from an initial coastal wave height model having a resolution different from that of the initial global wave height model using the initial global wave height model.

In order to generate the coastal wave height model, the generator 120 includes an overlapping part 121 that overlaps the first coastal model and the second coastal model included in the second wave height model, and the first wave height according to the grid of the second wave height model. A synthesis unit 122 that interpolates and synthesizes a model, a feature extraction unit 123 that extracts temporal and spatial features of the second wave height model received within time information based on preset time information, and the extracted time and By applying the spatial feature to the first wave height model received after the time information, it may include a model generator 124 that generates a coastal wave height model after the time information including the feature value.

In one embodiment of the present application, only an example of generating a coastal wave height model using the first wave height model and the second wave height model was mentioned, but is not limited thereto, and the coastal wave height model is generated using the meteorological model and the second wave height model. You may.

As described above, in another embodiment of the present application, when the meteorological model and the second wave height model are used, the synthesis unit 122, the feature extraction unit 123, and the model generation unit 124 among the configurations of the marine meteorological service providing apparatus 100 ) Can only be considered. That is, as another embodiment of the present application, when the marine meteorological service providing apparatus 100 generates a coastal wave height model using the meteorological model and the second wave height model, the overlapping portion 121 may be omitted.

In addition, in the case of the overlapping unit 121, the synthesis unit 122, the feature extraction unit 123, and the model generation unit 124 included in the generation unit 120, it is not limited to being implemented in the order mentioned, It can be implemented and operated in a different order. For example, when generating a coastal wave height model using a first wave height model and a second wave height model according to an embodiment of the present application, the generation unit 120 includes an overlapping unit 121, a synthesis unit 122, and a characteristic The extraction unit 123 and the model generation unit 124 may generate a coastal wave height model in order, and when generating a coastal wave height model using a meteorological model and a second wave height model according to another embodiment of the present application, The feature extraction unit 123, the synthesis unit 122, and the model generation unit 124 may sequentially generate a coastal wave height model.

The overlapping portion 121 may overlap the first coastal model and the second coastal model included in the second wave height model. In the case of the initial coastal wave height model, which is the second wave height model, since there may be a limit to acquiring data for the entire specific coast, the overlapping unit 121 may obtain and overlap data by dividing the specific coast. For example, since the initial coastal wave height model may not include data on the entire east coast, the second coastal wave height model (GAWN) including the East Sea and the initial coastal wave height model (BUSN) including Busan are overlapped. Early coastal wave height models, which are wave height models, can be created. The generation unit 120 to be described later may generate a coastal wave height model by using the second wave height model generated by overlapping at least one image in the overlapping unit 121. In addition, the image generated by the overlapping unit 121 may include all numerical models received by the receiving unit 110 including the first wave height model and the meteorological model, as well as the second wave height model.

4 is a view showing a result (a) of an inverse distance weighted interpolation method of an initial global wave height model at the same date and time and a synthesis result (b) of an initial coastal wave height model according to an embodiment of the present application.

Referring to FIG. 4, the synthesis unit 122 may interpolate and synthesize the first wave height model according to the grid of the second wave height model. At this time, the first wave height model, the initial global wave height model, and the second wave height model, the initial coastal wave height model, may include a plurality of variables, and the plurality of variables include the sea wind direction, the sea wind speed, wave height, wave direction, wave speed, and wave interval. Can include.

The wave height model is stored as numerical data, and the initial global wave height model can have a resolution of 55 km, and the initial coastal wave height model can have a resolution of 1 km, and since it is an equidistant grid, the latitude and longitude of the grid can be calculated and assigned. A plurality of variables including sea wind direction, sea wind speed, wave height, wave direction, wave speed, and wave spacing affecting leisure index calculation and leisure may be included in the first wave height model and the second wave height model, and the synthesis unit 122 A plurality of variables included in the first wave height model and the second wave height model may be extracted, and the first wave height model may be interpolated into a grid of the second wave height model to be synthesized.

Here, the synthesis unit 122 may interpolate and synthesize an initial global wave height model, which is a first wave height model, in accordance with an initial coastal wave height model, which is a second wave height model, using a reverse distance weighted interpolation method. The following Equations 1 and 2 show the inverse distance weighted interpolation method performed by the synthesis unit 122.

[Equation 1]

[Equation 2]

는 내삽 지점과 관측 지점 사이의 거리,

는 i 격자점에 위치한 초기 전구 파고모델 변수의 역거리 가중 함수, x는 초기 전구 파고모델의 경도(longitude), y는 초기 전구 파고모델의 위도(latitude),

는 초기 연안 파고모델의 위도,

는 초기 연안 파고모델의 경도이다.Where i is the grid number (1-4), p is the exponent of distance,

Is the distance between the interpolation point and the observation point,

Where i is the inverse distance weighting function of the initial global wave height model variable located at the grid point, x is the longitude of the initial global wave height model, y is the latitude of the initial global wave height model,

Is the latitude of the early coastal wave height model,

Is the hardness of the early coastal wave height model.

The marine meteorological service providing apparatus 100 according to an embodiment of the present application performs spatial interpolation targeting 1km, which is the resolution of the initial coastal wave height model, and the prediction information after 72 hours uses the prediction information of the initial global wave height model. A method of reducing the size of the space can be applied. In the case of the ocean wave height model, a spatial scale reduction method can be applied because it must be integrated into high-resolution data. The scale-down method can mean converting the initial global wave height model data to the same grid as the original coastal wave height model that we have. Since the initial 72 hours have the same variable at the same time, a method of reducing the space scale from 72 hours to 288 hours can be applied using their relationship.

5 is a diagram schematically illustrating a method of reducing a space scale according to an exemplary embodiment of the present application.

Referring to FIG. 5, the spatial scale reduction method refers to a process of producing high-resolution data by reflecting temporal or spatial characteristics using low-resolution data. The initial coastal wave height model and the early global wave height model can have spatial resolutions of 1km and 55km, respectively, and it is advantageous to use the early coastal wave height model that can be seen in detail in terms of resolution. However, since forecasting information is provided for up to 72 hours in time, it is inevitable to use the initial global wave height model for later times and later times. However, since the spatial resolution is 55 km, detailed characteristics cannot be expressed. Therefore, the marine meteorological service providing apparatus 100 according to an embodiment of the present application extracts detailed spatial features using data within 72 hours and applies it to the initial global wave height model after 72 hours to provide coastal wave height including detailed features. You can create data for the grid of the model. Here, the spatial scale reduction method may be performed by the feature extraction unit 123 and the model generation unit 124 to be described later.

The feature extractor 123 may extract temporal and spatial features of the second wave height model received within temporal information based on preset temporal information. Here, the temporal and spatial characteristics of the second wave height model may include a plurality of variables included in the second wave height model.

When an initial light bulb wave height model of 1 km resolution interpolated and synthesized by the synthesis unit 122 is generated, the feature extraction unit 123 uses the initial coastal wave height model, which is a second wave height model received within time information based on preset time information. Temporal and spatial features can be extracted. Here, the preset time information is a reference time at which the initial coastal wave height model can be collected.In the case of a general coastal wave height model, the coastal wave height model at 6 hour intervals up to 72 hours can be collected, so the preset time information is 72 hours. , That can be 3 days. However, the preset time information is not limited to 72 hours, but may mean an initial coastal wave height model for a time desired by the user, and thus a time less than 72 hours may be designated as preset time information.

The feature extractor 123 may extract temporal and spatial features of the second wave height model received within preset time information. Here, the temporal and spatial characteristics may be a plurality of variables of the second wave height model, and the plurality of variables included in the second wave height model may include a sea wind direction, a sea wind speed, a wave height, a wave direction, a wave speed, and a wave interval. . That is, the feature extraction unit 123 may extract temporal and spatial features including the sea wind direction, sea wind speed, wave height, wave direction, wave speed, and wave interval of the initial coastal wave height model received within predetermined time information.

6 is a view showing a result of a global wave height model after 72 hours according to an embodiment of the present application and a wave height distribution in which a spatial scale reduction method is performed using a grid of an initial coastal wave height model.

6, the model generator 124 applies the extracted temporal and spatial features to the first wave height model received after the temporal information, thereby generating a coastal wave height model after the temporal information including the feature value. have. The model generation unit 124 uses the variable values of the initial global wave height model of 1 km resolution generated through the reverse distance weighted interpolation method in the synthesis unit 122 and the variable values of the initial coastal wave height model at 3 hour intervals up to 72 hours. By calculating the linear regression for each grid, detailed feature values can be extracted and applied to the grid of the electric wave height model after 72 hours.

The model generation unit 124 may calculate a linear regression for each grid of the second wave height model received within the time information, extract a feature value, and apply it to the grid of the first wave height model, wherein the feature value includes a slope value. I can. Here, the slope value is a relationship between the initial global wave height model and the coastal wave height model, and may mean detailed distribution characteristics. The detailed feature calculated in Equation 3 below is applied to Equation 4 below, and by adding the detailed feature (a) to the value of the initial global wave height model, the features of the initial coastal wave height model can be maintained. The following Equations 3 to 5 show the spatial scale reduction method performed by the model generator 124.

[Equation 3]

[Equation 4]

[Equation 5]

는 상기 시간 정보까지의 상기 제2 파고모델의 평균 변수값,

는 상기 시간 정보까지의 상기 제2 파고모델의 평균 변수값,

은 1km 해상도의 제1 파고모델의 변수값,

은 제2 파고모델의 변수값이다. 즉, 72시간 이후의 초기 연안 파고모델의 변수값은 초기 전구 파고모델의 변수값의 변화를 이용하여 계산될 수 있다. Here, a is the slope value, b is the y-intercept, c is the variable value of the second wave height model, g is the variable value of the first wave height model, i is the prediction time to the time information,

Is the average variable value of the second wave height model up to the time information,

Is the average variable value of the second wave height model up to the time information,

Is the variable value of the first wave height model with a resolution of 1 km,

Is the variable value of the second wave height model. That is, the variable value of the initial coastal wave height model after 72 hours can be calculated using the change of the variable value of the initial global wave height model.

That is, the marine meteorological service providing apparatus 100 according to an exemplary embodiment of the present application converts the data of the global wave height model to the grid of the initial coastal wave height model possessed by the inverse distance weighting method, and then the initial By calculating the relationship between the coastal wave height model and the global wave height model acquired up to 3 days (72 hours) by a linear regression equation, a spatial scale reduction method for 4 to 10 days may be performed.

The extraction unit 130 may image and display the generated coastal wave height model. By extracting detailed spatial features using data within 72 hours and applying them to the global wave height model after 72 hours, grid data of the coastal wave height model including detailed features are generated, and the grid data of the coastal wave height model is extracted from the extraction unit 130 ) Can be displayed as an image.

In conclusion, the marine meteorological service providing apparatus 100 according to an embodiment of the present application can perform a spatial scale reduction method using two types of wave height models, and receive a meteorological model to meet the grid of the coastal wave height model. The model can be interpolated and synthesized. The marine meteorological service providing apparatus 100 according to an embodiment of the present application uses a meteorological model and a marine model to analyze the service and utilization of numerical model data for marine meteorological analysis, thereby surfing, kiteboarding, fishing, and skin scuba. It is possible to calculate the index for marine leisure such as, etc., and has the effect of expressing in two dimensions or time series.

The receiving unit 110 may receive a meteorological model in the form of a numerical model from the meteorological server 10. The meteorological model may be divided into a global model, a regional model, and a local model, and in one embodiment of the present application, a global model having a low resolution of about 25 km but a long provision time may be used as the meteorological model. Weather numerical data can be provided in kwgrib2 format in each unit file according to model driving time and prediction time, and variables included in the meteorological model can be single-sided data located on a horizontal plane.

The generation unit 120 may extract a plurality of variables included in the meteorological model into ASCII code, and interpolate and synthesize the meteorological model according to the grid of the second wave height model.

In detail, the feature extraction unit 123 of the generation unit 120 may extract a plurality of variables included in the meteorological model as ASCII codes.

Meteorological models and wave height models are difficult to process in the same way because information such as storage format and grid are different. Therefore, in order to process this, it is necessary to extract each variable from numerical data grouped by unit and synthesize it in the same grid form, and to integrate data of heterogeneous spatial scale into a single data through a method of reducing the time and space scale. Also, in this case, it is necessary to sort the data by location in chronological order.

The meteorological model may include a plurality of variables in the form of kwgrib2. Here, the plurality of variables may include air temperature, dew point temperature, surface temperature, wind direction, wind speed, humidity, atmospheric pressure, sky condition, radiation amount, and degree of precipitation. The feature extraction unit 123 of the generation unit 120 converts a plurality of variables including air temperature, dew point temperature, surface temperature, wind direction, wind speed, humidity, air pressure, sky condition, radiation amount, and precipitation degree included in the meteorological model into ASCII ( ASCII) code can be extracted. The extracted multiple variables are grid data, but since there is no latitude and longitude information for each grid, latitude and longitude are allocated for each grid, and interpolated into the grid of the initial coastal wave height model, the second wave height model, Coastal wave height model grid data can be synthesized. The process of interpolating the meteorological model according to the grid of the second wave height model may be performed in the synthesis unit 122, and the method of interpolating and synthesizing the meteorological model according to the grid of the second wave height model is utilized by the reverse distance weighted interpolation method. Can be.

That is, the synthesis unit 122 can be utilized by interpolating the global meteorological model data according to the grid of the coastal wave height model because the variables used in the meteorological model do not change significantly in the ocean, and the interpolation method is the reverse distance weighted interpolation method. It may be utilized, and may be performed through Equations 6 to 8.

[Equation 6]

[Equation 7]

[Equation 8]

은 제2 파고모델의 위도,

은 제2 파고모델의 경도,

는 R의 위도,

는 R의 경도를 의미할 수 있다.Here, R is the variable of the meteorological model calculated through the inverse distance weighted interpolation method for the grid point of the initial coastal wave height model, which is the second wave height model, R _i is the grid variable for the existing meteorological model, and the subscript i is the grid number (1-4 ), w _i is the inverse distance weighting function of the meteorological model variable located at the i grid point, d _i is the distance between the interpolation point and the observation point,

Is the latitude of the second wavego model,

Is the hardness of the second wave height model,

Is the latitude of R,

May mean the hardness of R.

That is, the value of the grid point of the initial coastal wave height model can be generated by calculating the average by weighting the reverse distance of the meteorological model values within a specific radius.

Hereinafter, based on the details described above, the operation flow of the present application will be briefly described.

6 is an operation flowchart of a method for providing a marine meteorological service according to an embodiment of the present application.

The marine meteorological service providing method illustrated in FIG. 6 may be performed by the marine meteorological service providing apparatus 100 described above. Accordingly, even if omitted below, the description of the marine meteorological service providing apparatus 100 may be equally applied to the description of the marine meteorological service providing method.

The marine meteorological service providing method according to an embodiment of the present application may receive a first wave height model in the form of a numerical model from the meteorological server (S701). Next, a coastal wave height model may be generated from a second wave height model having a resolution different from that of the first wave height model using the first wave height model (S702). Next, the generated coastal wave height model may be imaged and displayed (S703).

In the above description, steps S701 to S703 may be further divided into additional steps or combined into fewer steps, according to the embodiment of the present application. In addition, some steps may be omitted as necessary, and the order between steps may be changed.

The marine meteorological service providing method according to an exemplary embodiment of the present disclosure may be implemented in the form of program commands that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The above-described hardware device may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

In addition, the above-described method for providing marine meteorological services may be implemented in the form of a computer program or application executed by a computer stored in a recording medium.

The foregoing description of the present application is for illustrative purposes only, and those of ordinary skill in the art to which the present application pertains will be able to understand that it is possible to easily transform it into other specific forms without changing the technical spirit or essential features of the present application. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present application is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present application.

10: weather server
100: marine meteorological service providing device

Claims (13)

As a method of providing marine meteorological services,
Receiving a first wave height model in the form of a numerical model from the weather server;
Generating a coastal wave height model from a second wave height model having a resolution different from that of the first wave height model using the first wave height model; And
Including the step of imaging and displaying the generated coastal wave height model,
Generating the coastal wave height model,
Overlapping the first coastal model and the second coastal model included in the second wave height model;
Synthesizing the first wave height model by interpolating it according to the grid of the second wave height model;
Extracting temporal and spatial features of the second wave height model received within the temporal information based on preset temporal information; And
Generating the coastal wave height model after the temporal information including feature values by applying the extracted temporal and spatial features to the first wave height model received after the time information,
Producing the coastal wave height model after the time information including the feature value,
The second wave height model received within the time information is applied to the grid of the first wave height model by calculating a linear regression for each grid, extracting the feature value, and
The characteristic value includes a slope value. The method of claim 1,
The first wave height model is an initial global wave height model, and the second wave height model is an initial coastal wave height model,
How to provide marine meteorological services. delete The method of claim 1,
The first wave height model and the second wave height model include a plurality of variables,
The plurality of variables include sea wind direction, sea wind speed, wave height, wave direction, wave speed, and wave interval,
How to provide marine meteorological services. The method of claim 1,
The step of interpolating and synthesizing the first wave height model according to the grid of the second wave height model,
Which is performed by the inverse distance weighted interpolation method,
How to provide marine meteorological services. The method of claim 4,
The temporal and spatial characteristics of the second wave height model received within the temporal information are,
Including the plurality of variables included in the second wave height model,
How to provide marine meteorological services. delete The method of claim 1,
The step of producing the coastal wave height model after the time information,
It is carried out by the spatial scaling method,
The spatial scale reduction method is performed by the following equations 1 to 3,
[Equation 1]

[Equation 2]

[Equation 3]

Where a is a slope value, b is a y-intercept, c is a variable value of the second wave height model, g is a variable value of the first wave height model, i is a prediction time to the time information,

Is the average variable value of the second wave height model up to the time information,

Is the average variable value of the second wave height model up to the time information,

Is the variable value of the first wave height model with a resolution of 1 km,

Is the variable value of the second wave height model,
How to provide marine meteorological services. The method of claim 5,
Receiving a meteorological model in the form of a numerical model from the meteorological server;
Extracting a plurality of variables included in the meteorological model as ASCII code; And
Further comprising the step of interpolating and synthesizing the meteorological model according to the grid of the second wave height model,
How to provide marine meteorological services. The method of claim 6,
The plurality of variables,
Air temperature, dew point temperature, surface temperature, wind direction, wind speed, humidity, air pressure, sky conditions, radiation and precipitation degree,
How to provide marine meteorological services. The method of claim 9,
The step of interpolating and synthesizing the meteorological model according to the grid of the second wave height model,
To be performed by the inverse distance weighted interpolation method,
How to provide marine meteorological services. As a marine meteorological service providing device,
A receiving unit for receiving a first wave height model in the form of a numerical model from the weather server;
A generator for generating a coastal wave height model from a second wave height model having a resolution different from that of the first wave height model using the first wave height model; And
Including an extraction unit for displaying the image of the generated coastal wave height model,
The generation unit,
An overlapping portion overlapping the first coastal model and the second coastal model included in the second wave height model;
A synthesizing unit for interpolating and synthesizing the first wave height model according to the grid of the second wave height model;
A feature extraction unit for extracting temporal and spatial features of the second wave height model received within the time information based on preset time information; And
A model generator for generating the coastal wave height model after the temporal information including a feature value by applying the extracted temporal and spatial features to the first wave height model received after the time information,
The model generation unit,
The second wave height model received within the time information is applied to the grid of the first wave height model by calculating a linear regression for each grid, extracting the feature value, and
The characteristic value includes a slope value. A computer-readable recording medium storing a program for executing the method of any one of claims 1, 2, 4 to 6 and 8 to 11 on a computer.

Images