KR102118643B1 - Standardized Marine Weather Forecasting Production System and Methodology Based on Forecasting Method - Google Patents

Abstract

The present invention relates to a forecast knowledge-based standardized marine weather forecast production system and a method thereof and, more specifically, to a forecast knowledge-based standardized marine weather forecast production system and a method thereof which receive marine information from various related organizations related to marine weather to standardize the marine information and then edit the same based on forecast knowledge of expert forecasters to provide forecast knowledge-based standardized marine information. An objective of the present invention is to collect and analyze physical property information of seawater and marine weather as numerical model data and marine weather observation data for the ocean and weather, and provide sailing and fishing operation vessels and marine leisure users with detailed marine real conditions and precise forecasts reflecting forecast knowledge of expert forecasters for the locations of the sailing and fishing operation vessels and the marine leisure users.

Description

Standardized Marine Weather Forecasting Production System and Methodology Based on Forecasting Method

The present invention relates to a standardized marine meteorological forecast production system and method based on forecast knowledge, specifically receiving and standardizing marine information from a number of related organizations related to marine weather, and then editing it based on the forecast knowledge of a professional forecaster. It is to provide standardized ocean information based on forecasting knowledge by providing information.

Currently, marine and meteorological research institutes store/manage observation data observed in real time related to various types of marine and meteorological data, or store/manage forecast data based on this.

 However, these research institutes are constructed with a system that separately provides observation/predicted data, separate satellite data, and model calculation information, so that mutual utilization is not considered. In other words, the institutes of each research institute are managing individual observation/forecasting data, separate satellite data, model calculation information, etc., and are unable to connect to each other, resulting in inefficient management of marine weather information. to be.

 Accordingly, in the current situation, the system for producing and servicing forecasts at the ocean is proceeding separately from the data collection and management and storage tasks related to the ocean and weather required for the application of the model for the construction of marine weather information. It has limitations such as difficulty in data management/storage, lack of expertise in marine weather information, and continuous budget and time input.

Korean Registered Patent Publication No. 10-1102812 (2011.12.29) Korean Registered Patent Publication No. 10-1513591 (2015.04.14)

The object of the present invention is to collect and analyze the marine weather and marine weather observation data and the physical model information of the marine weather and seawater as numerical model data, and to the navigation and fishing vessels, marine leisure users of their own forecaster It is intended to provide detailed maritime conditions and precise forecasts that reflect forecast knowledge.

In order to solve the above problems, the present invention provides the following means.

The data collection unit 100 is for collecting ocean weather observation data and numerical model data for ocean and weather from a number of related organizations related to ocean and weather.

The forecasting production unit 200 standardizes time resolution and spatial resolution based on the numerical model data collected through the data collection unit 100 to build a standard grid, and to produce a standard forecast based on the constructed standard grid. will be.

The forecast service unit 300 is for providing a standard forecast edited through the forecast production unit 200.

The data collection unit 100 includes a local data collection server 110 and a local data collection server 110 for collecting numerical model data including ocean weather observation data, time resolution and spatial resolution from a number of related organizations. It includes a data storage unit 130 for storing the ocean weather observation data collected from.

The forecasting production unit 200 confirms the time resolution and spatial resolution from the numerical model data collected from the related organizations, sets the sea prediction zone, and provides raw data for establishing a standard grid of resolution at a predetermined distance to include the forecast zone. The standardization unit 210 and the forecast editing unit 220 and the forecast editing unit 220 for editing the forecast based on the standardized forecast through the raw data standardization unit 210 and the expert forecaster observation data provided from the expert forecaster Provided is a standard forecast marine weather forecast production system based on forecast knowledge, characterized in that it includes a final forecast generator for generating final forecasts by receiving the final edited forecasts.

In addition, the data collection unit 100 further includes a light/special information collection server 120 for receiving information generated when an unusual occurrence occurs, and the forecasting production unit 200

It is characterized by including a warning/special information production unit 240 for producing GIS data including geographic information in navigational warnings, typhoon information, and weather warnings collected by the warning/notification information collection server 120 by calling public APIs. Provides a standardized ocean weather forecast production system based on forecasting knowledge.

The standardized marine weather forecast production method based on forecasting knowledge is collected from the data collection step (S1) and the data collection step (S1) for collecting maritime observation data and numerical model data from a number of related organizations related to the ocean weather. The data error checking step (S2) for checking errors in the oceanic observation data and numerical model data, and if no errors are confirmed from the data error checking step (S2), the maritime data collected through the data collection step (S1) If it is confirmed that there is no error from the data storage step (S3) for storing the observation data and the data error checking step (S2), unify the numerical model data collected through the data collection step (S1) with time resolution and spatial resolution. After the standardization work step (S4) for performing the standardization work, and the forecast editing step (S5) for editing the standardized forecast through the standardization work step (S4) by a professional forecaster, and the forecast editing step (S5) It includes a forecast determining step (S6) for determining the final forecast, and a forecast providing step (S7) for providing the user with the forecast determined through the forecast determining step (S6).

The standardization operation step (S4) is a forecast zone grid network construction step (S4-1) for setting a sea forecast zone and constructing a standard grid of a predetermined size resolution to include the set zone, and each numerical value having a different resolution. Spatial resolution standardization step (S4-2) to standardize spatial resolution by performing linear interpolation to produce data at the grid position of a standard grid of resolution of a predetermined size using model data (S4-2), forecast production cycle, and ocean It provides a standardized marine weather forecast production method based on forecasting knowledge, which includes a time resolution standardization step (S4-3) of standardizing the time resolution by synthesizing the server reception period and the forecast period of the weather numerical model.

The present invention collects and analyzes ocean weather and physical property information of seawater with ocean weather observation data and numerical model data on the ocean and weather, and forecasts knowledge of a professional forecaster about its location to sailing and fishing vessels and marine leisure users. By providing detailed marine conditions and precise forecasts reflecting the fact, it is possible to grasp more accurately the weather of the sea.

1 is an overall configuration diagram of a marine weather forecast production system of the present invention.
2 is a block diagram of a data collection server 100 of a standardized ocean weather forecast production system based on the forecast knowledge of the present invention.
3 is a block diagram of a forecast production unit 200 of a standardized marine weather forecast production system based on the forecast knowledge of the present invention.
4 to 6 are diagrams to help explain the raw data standardization unit 210 of the forecast production unit 200.
7 to 9 are views for assisting the explanation of the forecast editing unit 220 of the forecast production unit 200.
10 is a view for helping the description of the forecast providing unit 300.
11 is a flow chart related to the marine weather forecast production method of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The present invention relates to a standardized marine meteorological forecast production system and method based on forecast knowledge. Users are provided with marine meteorological observation data and numerical data models from various related organizations related to marine weather, and reprocess the provided data through a standardization process. To provide more accurate and detailed marine weather information.

Referring to FIG. 1, the marine weather forecast production system of the present invention includes a data collection unit 100, a forecast production unit 200, and a forecast service unit 300.

The detailed description of each component is as follows.

 The data collection unit 100 collects ocean weather observation data and numerical model data on ocean and weather from a number of related organizations related to ocean and weather.

The ocean weather observation data may include data observed in at least one of an automatic weather system (AWS), a synoptic observation, a lighthouse, a lighthouse, and a buoy. However, the present invention is not limited thereto, and the ocean weather observation data may include data observed from other observation means. The ocean weather observation data can include the values of marine weather factors such as wind, wind speed, maximum wind speed, temperature, water temperature, air pressure, wave height, and ocean currents related to the ocean and weather.

A numerical prediction model is a type of computer software program designed to predict the state of the future by using current ocean weather observation data, and produces prediction results for each time period by calculating numerous equations governing particle motion. The predicted results produced in this way are called numerical model data.

Numerical model data can be produced by anyone who has a numerical forecast model and computational resources capable of driving it, and it can be produced by setting various forecast areas, grid resolutions, data formats, forecast periods, and forecast items for each producer. Numerical forecast model data can be classified into global/regional/local forecast model data according to the forecast area or grid resolution, and may be divided into ultra-short/short-term/long-term forecast models depending on the forecast period. In addition, it can be classified into atmospheric/ocean/typhoon/blue forecast models according to the forecast items produced by the numerical forecast model.

Numerical model data has a variety of format formats depending on the numerical forecasting model to be performed, and is usually produced in NetCDF (Network Common Data Form), GRIB (GRIdded Binary or General Regularly-distributed Information in Binary form), TEXT, etc.

Referring to FIG. 2, the data collection unit 100 includes a local data collection server 110, a light/special information collection server 120, and a data storage unit 130.

The local data collection server 110 is for collecting ocean weather observation data and numerical model data on the ocean and weather from a number of related organizations.

The alert/special information collection server 120 is for receiving information generated when an unusual occurrence occurs.

The alert/special information collection server 120 is for providing information about a situation that may affect changes in the marine environment, such as typhoon information and shooting training information, and public API of weather alert, navigation alert, and typhoon alert. Is collected by calling

The data storage unit 130 is for storing marine weather observation data related to the ocean and weather collected from the local data collection server 110.

The forecasting production unit 200 standardizes time resolution and spatial resolution (horizontal, vertical) based on the numerical model data collected through the data collection unit 100 to build a standard grid, and standardizes it based on the built standard grid It is to produce forecasts and to edit standard forecasts based on the produced standard forecasts and expert forecast observation data provided by professional forecasters.

Referring to FIG. 3, the forecast production unit 200 includes a raw data standardization unit 210, a forecast editing unit 220, a fixed forecast generation unit 230, and a light/special information production unit 240.

The primitive data standardization unit 210 is for establishing a sea prediction zone by confirming time resolution and spatial resolution from numerical model data collected from related organizations, and establishing a standard grid network with a resolution of a predetermined distance to include a forecast zone. .

Since the numerical model data collected from each related organization are all different in time/spatial resolution, a standardization process is needed to unify them in the same time/spatial resolution. It can be standardized through the raw data standardization unit 210, a sea forecast zone (P) is set to perform the standardization process, and a standard grid network of a predetermined size is constructed to include the set sea forecast zone (P). . As an example, the present invention is explained on the premise that a standard grid network having 7 layers ranging from 0 to 100 m in vertical resolution is 1 km horizontally and 0 to 100 m vertically in spatial resolution is 42 to 48 hours forecast at 3 hour intervals. However, the size, forecast period, and forecast period of the standard grid may be different if necessary.

The raw data standardization unit 210 will be described in detail with reference to FIGS. 4 to 6.

FIG. 4 shows a state in which a standard lattice network having a resolution of 1 Km is displayed so as to include an area of a sea forecast area, that is, a sea forecast area P, and then a set sea forecast area P.

FIG. 5 is an exemplary diagram for standardizing spatial resolution. As shown in FIG. 5(a), 1㎞ resolution horizontally and vertically as shown in FIG. 5(b) using each numerical model data having different resolutions. Shows the standardized spatial resolution by performing linear interpolation to produce data at the grid position of the 7-layer standard grid within 100 m.

6 is an exemplary diagram for standardizing the time resolution, and by setting the forecast production cycle three times a day at 05, 11, and 17 o'clock, the server reception time and the forecast period of the ocean weather numerical model are aggregated at 3 hour intervals. Produce forecasts from 42 hours (14th edition) to 48 hours (16th edition).

The forecast editing unit 220 is for editing the forecast based on the standardized forecast through the raw data standardization unit 210 and the expert forecast observation data provided by the expert forecaster.

7 and 8 are views related to an example of the forecast editing unit 220. When the wind direction needs to be edited, the forecaster can change the wind direction value of FIG. 7(a) from 318.81 degrees to the wind direction value of FIG. 7(b) (270.18 degrees). Correction is performed, and when the water temperature needs to be edited, the forecaster performs a correction operation from the water temperature value (25.6 degrees) of FIG. 8(a) to the water temperature value (34 degrees) of FIG. 8(b).

9 relates to a state in which a forecast edited by a professional forecaster is visualized. The visualized information can be checked through a web page. As shown in the figure, each forecast according to date and time includes humidity, temperature, wind direction/wind speed, visibility, air pressure, precipitation, snowfall, sea wind, significant wave height, average wave direction/wave You can check the period, maximum wave/wave period, wavelength, water temperature, salinity, frankincense/flow velocity, weather, and wave height.

The final prediction generating unit 230 is for generating a final prediction by receiving the final edited forecast through the forecast editing unit 220.

Of course, the final prediction generated by the final prediction generating unit 230 may be produced in a NetCDF format and serviced in the form of data, solutions, and appliances, and may also be provided in various formats and provided to users.

The alert/notification information production unit 240 calls the public API to produce GIS data including geographic information in the navigation alert, typhoon information, and weather alert collected by the alert/notification information collection server 120.

The forecast service unit 300 provides standard forecasts edited through the forecast production unit 200. The forecast service unit 300 is serviced in the form of a solution and an appliance, and the forecast forecast produced in the NetCDF format through the determined forecast generation unit 230 may be different from the desired forecast and forecast area for each user. Optimized API for each user is given from the common forecast utilization API that can utilize data. To this end, user management such as user identification and permissible scope for each user is performed together.

FIG. 10 is a diagram of the forecast utilization API, where level is for the resolution of the standard grid, bbox is for coordinate values (longitude, latitude) for which area to obtain, and refTime is for forecast presentation time. , forecast Time is for the forecast time, valueType is for the type of forecast data, and depth is for the depth of the vertical layer.

11 is a flow chart of the marine weather forecast production method of the present invention, data collection step (S1), data error checking step (S2), data storage step (S3), standardization work step (S4), forecast editing step (S5) ), the forecast confirmation step (S6), and the forecast provision step (S7).

S1) Data collection stage

The data collection step (S1) is a step of collecting marine observation data and numerical model data from a number of related organizations related to marine weather.

S2) Data error checking step

The data error checking step (S2) is a step of checking errors in the sea observation data and numerical model data collected from the data collection step (S1).

S3) Data storage stage

The data storage step (S3) is a step of storing the seaborne observation data collected through the data collection step (S1) if it is confirmed that there is no error from the data error checking step (S2).

S4) Standardization work stage

In the standardization operation step (S4), if it is confirmed that there is no error from the data error confirmation step (S2), the standardization operation for unifying the numerical model data collected through the data collection step (S1) to time resolution and spatial resolution is performed. It is a step.

The standardization work step (S4) is a forecast area grid network construction step (S4-1), spatial resolution standardization step (S4-2), and time resolution standardization step (S4-3).

The forecasting zone grid network construction step (S4-1) is a step of establishing a sea forecast zone and constructing a standard grid network of a predetermined size to include the set zone.

In the spatial resolution standardization step (S4-2), a spatial interpolation is performed by performing a linear interpolation method to produce data at a grid position of a standard grid network having a predetermined size of resolution using each numerical model data having different resolutions. This is the standardization stage.

The time resolution standardization step (S4-3) is a step of standardizing the time resolution by synthesizing the forecast production cycle, the server receiving period of the ocean weather numerical model, and the forecast period.

S5) Forecast editing stage

The forecast editing step (S5) is a step for editing the standardized forecast through the standardization work step (S4) by a professional forecaster.

The forecast editing step (S5) is performed when the standardized forecast through the standardization work step (S4) does not match the forecast knowledge of the expert forecaster, and may not be performed when editing is not required.

S6) Forecast confirmation phase

The forecasting determining step (S6) is a step of determining the final forecast after the forecasting editing step (S5).

S7) Forecast Provision Stage

The forecast providing step (S7) is a step of providing the user with the forecast determined through the forecast determining step (S6).

Although the present invention has been described with reference to the accompanying drawings with reference to preferred embodiments, it is apparent to those skilled in the art that many various and obvious modifications are possible without departing from the scope of the present invention. Therefore, the scope of the invention should be construed by the claims set forth to cover these many variations.

100 Data Collection Department
110 Local data collection server
120 Light/Special Information Collection Server
130 Data storage
200 Forecast Production Department
210 Source Data Standardization Department
220 Forecasting Department
230 Confirmation and Forecasting Department
240 Gyeong/Special Information Production Department
300 forecast provider

Claims (3)

A data collection unit (100) for collecting ocean weather observation data and numerical model data for ocean and weather from a number of related organizations related to ocean and weather;
Based on the numerical model data collected through the data collection unit 100, standardizes time resolution and spatial resolution to build a standard grid and forecast production unit 200 for producing standard forecasts based on the built standard grid ,
Includes a forecast service unit 300 for providing a standard forecast edited through the forecast production unit 200,

The data collection unit 100 is
A local data collection server 110 for collecting ocean weather observation data and numerical model data including time resolution and spatial resolution from a number of related organizations;
A warning/special information collection server (120) for receiving information generated when an unusual occurrence occurs,
It includes a data storage unit 130 for storing the ocean weather observation data collected from the local data collection server 110,
The meteorological and marine information observation data includes values of marine weather elements such as wind, wind speed, maximum wind speed, temperature, water temperature, air pressure, wave height, and current related to the ocean and weather,
The numerical forecast model data is divided into global/regional/local forecast model data according to the forecast area or grid resolution, and is divided into the short-term/short-term/long-term forecast model according to the forecast period, but the forecast items produced by the numerical forecast model Therefore, it is classified as atmospheric/marine/typhoon/blue forecast model.

The forecast production unit 200
To check the time resolution and spatial resolution for horizontal and spatial resolution for vertical from the numerical model data collected from the related organizations, set up a sea prediction zone and build a standard grid of resolution at a predetermined distance to include the forecast zone. Source Data Standardization Department (210),
A forecast editing unit 220 for editing a forecast based on the forecast standardized through the raw data standardization unit 210 and the expert forecast observation data provided by the expert forecaster;
Confirmed forecast generation unit 230 for generating a final forecast by receiving the final edited forecast through the forecast editing unit 220,
It is characterized by including a warning/special information production unit 240 for producing GIS data including geographic information in navigational warnings, typhoon information, and weather forecasts collected by the warning/notification information collection server 120 by calling public APIs. And
In order to standardize the spatial resolution of the original data standardization unit 210, the standard grid network of 7 layers within 1 m resolution horizontally and 100 m vertically is used by using each numerical model data having different resolutions. It is characterized by standardizing spatial resolution by performing linear interpolation to produce data at the lattice location, so that 3 hour interval forecasts for each 1㎞ resolution are derived.

In order to standardize the time resolution, it is characterized by producing a forecast forecasting at predetermined time intervals by synthesizing the server reception time and the forecast period of the ocean weather numerical model by setting the forecast production cycle to a predetermined time period.

The forecast service unit 300 is a standard forecast marine weather forecasting production system based on forecast knowledge, characterized in that it is serviced in the form of a solution and an appliance that is produced in NetCDF format through the determined forecast generation unit 230.

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