US-20260126562-A1 - SERVER, METHOD AND COMPUTER PROGRAM FOR PROVIDING WEATHER DATA TO DEVICE WITH ENHANCED SPATIO-TEMPORAL RESOLUTION

Abstract

A server for providing weather data to a device with enhanced spatio-temporal resolution includes: a receiver configured to receive weather data from a weather model, the data having a predetermined spatial and temporal resolution; a converter configured to convert the received weather data into matrix data including forecast values for each latitude and longitude; an enhancer configured to subdivide the latitude and longitude of the matrix data into finer intervals than the predetermined spatial resolution and to enhance the spatial resolution by interpolating forecast values at the subdivided latitude and longitude positions; and a transmitter configured to transmit the weather data with the enhanced spatial resolution to the device.

Inventors

• Young Doh KIM

Assignees

• WEATHERI INC.

Dates

Publication Date

20260507

Application Date

20250703

Priority Date

20241105

Claims (13)

1. 1 . A server for providing weather data to a device with enhanced spatio-temporal resolution, comprising: a receiver configured to receive weather data from a weather model, the data having a predetermined spatial and temporal resolution; a converter configured to convert the received weather data into matrix data including forecast values for each latitude and longitude; an enhancer configured to subdivide the latitude and longitude of the matrix data into finer intervals than the predetermined spatial resolution and to enhance the spatial resolution by interpolating forecast values at the subdivided latitude and longitude positions; and a transmitter configured to transmit the weather data with the enhanced spatial resolution to the device.
2. 2 . The server of claim 1 , wherein the converter converts the received weather data into the matrix data for each predetermined forecast time interval, and thus generates a plurality of pieces of matrix data corresponding to different forecast times.
3. 3 . The server of claim 2 , wherein the enhancer subdivides a forecast time interval of the weather data into finer intervals than the predetermined temporal resolution and enhances the temporal resolution by interpolating forecast values for the subdivided forecast time intervals, and the transmitter further transmits the weather data with the enhanced temporal resolution to the device.
4. 4 . The server of claim 3 , wherein the enhancer interpolates the forecast values at the subdivided forecast time intervals to increase the number of matrix data.
5. 5 . The server of claim 1 , wherein the matrix data uses longitude and latitude as coordinates, and includes a forecast value for each of longitude-latitude coordinate pairs.
6. 6 . The server of claim 5 , wherein the enhancer enhances the spatial resolution by interpolating the forecast value for each coordinate pair by bilinear interpolation.
7. 7 . A method for providing weather data to a device with enhanced spatio-temporal resolution, comprising: a process of receiving weather data from a weather model, the data having a predetermined spatial and temporal resolution; a process of converting the received weather data into matrix data including forecast values for each latitude and longitude; a process of subdividing the latitude and longitude of the matrix data into finer intervals than the predetermined spatial resolution and enhancing the spatial resolution by interpolating forecast values at the subdivided latitude and longitude positions; and a process of transmitting the weather data with the enhanced spatial resolution to the device.
8. 8 . The method of claim 7 , wherein in the process of converting the received weather data into matrix data, the received weather data is converted into the matrix data for each predetermined forecast time interval, and thus a plurality of pieces of matrix data corresponding to different forecast times is generated.
9. 9 . The method of claim 8 , wherein in the process of enhancing the spatial resolution, a forecast time interval of the weather data is subdivided into finer intervals than the predetermined temporal resolution and the temporal resolution is enhanced by interpolating forecast values for the subdivided forecast time intervals, and in the process of transmitting the weather data to the device, the weather data with the enhanced temporal resolution is further transmitted to the device.
10. 10 . The method of claim 9 , wherein in the process of enhancing the spatial resolution, the forecast values are interpolated at the subdivided forecast time intervals to increase the number of matrix data.
11. 11 . The method of claim 7 , wherein the matrix data uses longitude and latitude as coordinates, and includes a forecast value for each of longitude-latitude coordinate pairs.
12. 12 . The method of claim 11 , wherein the spatial resolution is enhanced by interpolating the forecast value for each coordinate pair by bilinear interpolation.
13. 13 . A non-transitory computer-readable medium storing a computer program including a sequence of instructions for providing weather data to a device with enhanced spatio-temporal resolution, which, when executed by a computing server, causes the computing server to: receive weather data from a weather model, the data having a predetermined spatial and temporal resolution; convert the received weather data into matrix data including forecast values for each latitude and longitude; subdivide the latitude and longitude of the matrix data into finer intervals than the predetermined spatial resolution and enhance the spatial resolution by interpolating forecast values at the subdivided latitude and longitude positions; and transmit the weather data with the enhanced spatial resolution to the device.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application is a continuation of International Application No. PCT/KR2024/017529 filed on Nov. 7, 2024, which claims priority to Korean Patent Application No. 10-2024-0155231 filed on Nov. 5, 2024, the entire contents of which are herein incorporated by reference. TECHNICAL FIELD The present disclosure relates to a server, method, and computer program for receiving weather data from a weather model and providing the data to a device with enhanced spatio-temporal resolution. BACKGROUND Weather forecasting is conducted through global weather models, such as GFS and ECMWF, which provide weather data over large geographic areas. These weather models are primarily used to monitor atmospheric conditions and predict future weather, and the collected data is applied across various industries, including agriculture, energy management, aviation, and maritime transport. In particular, the spatio-temporal resolution of weather data is a critical factor that significantly affects real-time climate monitoring and forecasting accuracy. As the effects of weather change intensify, the importance of high-resolution data continues to grow. However, the spatio-temporal resolution currently provided by global weather models is designed for broad regional scales. Due to the inherent characteristics of these models, resolution is often limited to reduce computational load, which makes it difficult to obtain detailed weather information for specific or small regions. Therefore, in various industries that utilize weather data, the spatio-temporal resolution provided by existing models is insufficient, leading to a demand for enhanced resolution. PRIOR ART DOCUMENT (Patent Document) Korean Patent No. 2063358 (registered on Dec. 31, 2019) DISCLOSURE OF THE INVENTION Problems to be Solved by the Invention The present disclosure has been made in an effort to solve the problems of the prior art, and is conceived to enhance spatial resolution of weather data. The present disclosure is conceived to enhance temporal resolution of weather data. However, the problems to be solved by the present disclosure are not limited to the above-described problems. There may be other problems to be solved by the present disclosure. Means for Solving the Problems As a means for achieving the above-described technical problems, a first aspect of the present disclosure provides a server for providing weather data to a device with enhanced spatio-temporal resolution, including: a receiver configured to receive weather data from a weather model, the data having a predetermined spatial and temporal resolution; a converter configured to convert the received weather data into matrix data including forecast values for each latitude and longitude; an enhancer configured to subdivide the latitude and longitude of the matrix data into finer intervals than the predetermined spatial resolution and to enhance the spatial resolution by interpolating forecast values at the subdivided latitude and longitude positions; and a transmitter configured to transmit the weather data with the enhanced spatial resolution to the device. A second aspect of the present disclosure provides a method for providing weather data to a device with enhanced spatio-temporal resolution, including: a process of receiving weather data from a weather model, the data having a predetermined spatial and temporal resolution; a process of converting the received weather data into matrix data including forecast values for each latitude and longitude; a process of subdividing the latitude and longitude of the matrix data into finer intervals than the predetermined spatial resolution and enhancing the spatial resolution by interpolating forecast values at the subdivided latitude and longitude positions; and a process of transmitting the weather data with the enhanced spatial resolution to the device. A third aspect of the present disclosure provides a computer program including a sequence of instructions, which, when executed by a computing device, causes the computing device to: receive weather data from a weather model, the data having a predetermined spatial and temporal resolution; convert the received weather data into matrix data including forecast values for each latitude and longitude; subdivide the latitude and longitude of the matrix data into finer intervals than the predetermined spatial resolution and enhance the spatial resolution by interpolating forecast values at the subdivided latitude and longitude positions; and transmit the weather data with the enhanced spatial resolution to the device. The above-described aspects are provided by way of illustration only and should not be construed as liming the present disclosure. Besides the above-described embodiments, there may be additional embodiments described in the accompanying drawings and the detailed description. Effects of the Invention According to any one of the above-described means for so