• Title/Summary/Keyword: Aviation Weather

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A Study on the Necessity of Weather Information for Low Altitude Aircraft (저고도 운용 항공기를 위한 기상정보의 필요성에 관한 연구)

  • Cho, Young-Jin;Kim, Su-Ro
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.1
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    • pp.45-58
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    • 2020
  • According to the Ministry of Land, Infrastructure and Transport press release ('18.12.21.) The amendment of the Aviation Business Act will reduce the capital requirements for aviation leisure operators and make it easier to enter aviation leisure businesses by improving regulations on small air transportation business. In addition, as the scale of the UAV(Unmanned Aerial Vehicle) sector is expected to increase globally, the dramatic increase in low altitude operating aircraft, including this, must be taken into account. The low altitude aircraft category is divided into small airplanes, helicopters, light aircrafts and ultra-light aircrafts, and instructors include school instructor pilots and student pilots, military and national helicopter pilots, and aviation leisure operators. In case of low altitude aircraft, there are cases of canceling operations due to low visibility and low clouds, and aircraft accidents due to excessive operation and sudden weather phenomenon. Therefore, in order to prevent low-altitude aircraft accidents, a safe flight plan based on weather conditions and weather forecasts and more accurate and local weather forecasts and weather forecast data are needed to prepare for the rapidly changing weather conditions.

An Integration Approach of Trajectory-Based Aviation Weather and Air Traffic Information for NARAE-Weather (나래웨더를 위한 궤적기반 항공기상 정보와 항공교통 정보의 통합 방안)

  • Sang-il Kim;Do-Seob Ahn;Jiyeon Kim;Seungchul Kim;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1331-1339
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    • 2023
  • In support of the National ATM Reformation and Enhancement Plan (NARAE), a trajectory-based aviation weather service is under development through the NARAE-Weather project. Specifically, weather data presented in a standardized digital format facilitates the seamless integration of digital weather data with air traffic information. Thus, this paper introduces an approach that entails structuring numerical model data to integrate aviation weather information and flight trajectory data. The extraction results using structurally transformed data showed superior performance compared to the results extracted from the original data in terms of performance, and this research is poised to enhance the safety and efficiency of airline operations.

The Development Strategy of the Future Aviation Weather Service Technologies and Realization of NARAE-Weather (미래 항공기상서비스 기술개발 전략과 NARAE-Weather 실현)

  • Park, Y.M.;Kang, T.G.;Ku, B.J.;Kim, S.I.;Kim, S.C.;Ahn, D.S.;Lee, J.H.;Jung, I.G.;Ryu, J.G.
    • Electronics and Telecommunications Trends
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    • v.36 no.4
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    • pp.48-60
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    • 2021
  • Following the global air-traffic market growth outlook, urgency of technical development is needed in responding to changes in the international air-traffic management paradigm and to prepare technology securing and spreading strategies, which are consistent with systematic aviation weather service policies and evolution direction. Although air traffic has decreased significantly due to COVID-19, normalcy is expected from 2024, as announced by IATA. According to the future air transportation market outlook and development trends of related technologies, Korea has established and implementing the next-generation air transportation system construction plan(NARAE) to secure international competitiveness and leadership in the future. Therefore, this paper describes the technical, economic background and requirements of numerical model-based aviation weather R&D projects for successful implementation of domestic NARAE plans and providing aviation safety and air traffic service efficiency. Furthermore, we proposed numerical-model-based technology development content, strategies and detailed load-map.

An Weather Analysis for Selection of the Aircraft Category F's Alternative Airport (F급 항공기 교체공항 선정을 위한 기상분석)

  • Kim, Y.C.;Kim, Dohyun
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.20 no.4
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    • pp.70-75
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    • 2012
  • This paper is part of the research about the selection and justification of Jeju international airport as an aircraft category 'F' alternative airport, which is the results of an weather analysis based on meteorological statistics. As the results of the study, it has been only 1 day per year (58minutes) that weather conditions of Incheon and Jeju international airports, from January 2006 to June 2011, are below landing weather minimums of each airport at the same times. This means that these airports are not within the same meteorological region, which is against the current orthodoxy. In addition, it is very rare that weather conditions of Jeju international airports are below landing weather minimums when Incheon international airport is below landing weather minima. It shows that the meteorological characteristics of these regions differ widely and the designation of Jeju international airport as an alternative airport is scientifically reasonable.

Runway visual range prediction using Convolutional Neural Network with Weather information

  • Ku, SungKwan;Kim, Seungsu;Hong, Seokmin
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.190-194
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    • 2018
  • The runway visual range is one of the important factors that decide the possibility of taking offs and landings of the airplane at local airports. The runway visual range is affected by weather conditions like fog, wind, etc. The pilots and aviation related workers check a local weather forecast such as runway visual range for safe flight. However there are several local airfields at which no other forecasting functions are provided due to realistic problems like the deterioration, breakdown, expensive purchasing cost of the measurement equipment. To this end, this study proposes a prediction model of runway visual range for a local airport by applying convolutional neural network that has been most commonly used for image/video recognition, image classification, natural language processing and so on to the prediction of runway visual range. For constituting the prediction model, we use the previous time series data of wind speed, humidity, temperature and runway visibility. This paper shows the usefulness of the proposed prediction model of runway visual range by comparing with the measured data.

Development of a Prediction Model and Correlation Analysis of Weather-induced Flight Delay at Jeju International Airport Using Machine Learning Techniques (머신러닝(Machine Learning) 기법을 활용한 제주국제공항의 운항 지연과의 상관관계 분석 및 지연 여부 예측모형 개발 - 기상을 중심으로 -)

  • Lee, Choongsub;Paing, Zin Min;Yeo, Hyemin;Kim, Dongsin;Baik, Hojong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.4
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    • pp.1-20
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    • 2021
  • Due to the recent rapid increase in passenger and cargo air transport demand, the capacity of Jeju International Airport has been approaching its limit. Even though in COVID-19 crisis which has started from Nov 2019, Jeju International Airport still suffers from strong demand in terms of air passenger and cargo transportation. However, it is an undeniable fact that the delay has also increased in Jeju International Airport. In this study, we analyze the correlation between weather and delayed departure operation based on both datum collected from the historical airline operation information and aviation weather statistics of Jeju International Airport. Adopting machine learning techniques, we then analyze weather condition Jeju International Airport and construct a delay prediction model. The model presented in this study is expected to play a useful role to predict aircraft departure delay and contribute to enhance aircraft operation efficiency and punctuality in the Jeju International Airport.

Analysis of Weather Conditions from Hourly to Seasonal Scales for Pilot Aviation Training Organization(ATO): Case study for Muan International Airport (조종사 양성 전문교육기관을 위한 시간대 및 계절별 기상분석 연구 : 무안국제공항을 중심으로)

  • Son, Byoung Wook;Kim, Hyeonmi;Kim, Hui Yang
    • Journal of Advanced Navigation Technology
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    • v.26 no.5
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    • pp.249-260
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    • 2022
  • Student pilots receiving flight education are inexperienced in piloting and situation judgment skills and are greatly affected by various factors such as psychological, physical, and environmental factors. In particular, one of the most influential factors in the flight education of student pilots is the weather conditions. Unlike large aircraft used in the air transportation business, small aircraft used for flight education have a great impact on education, such as flight restrictions depending on weather conditions, psychological pressure in severe weather, and deterioration of student skills. Therefore, in this study, the meteorological characteristics of meteorological factors that have a great influence on small aircraft were analyzed. As a result of the analysis, an efficient and safe training operation method was suggested to a professional pilot aviation training organization through the adjustment of the training period for the season, the increase in aircraft operation rate, and a safe solo flight plan considering the weather.

Analytic Hierarchy Research on Site Selection to Construct Airfield to Contribute to Improve Aviation Safety Focusing on Song-Po Airfield (항공안전 증진을 위한 경비행장 건설에 따른 입지선정 AHP(Analytic Hierarchy Process) 연구 - 송포 비행장을 중심으로 -)

  • Sang Yong Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.3
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    • pp.71-78
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    • 2023
  • To minimize the occurrence of aviation accidents in the post-COVID, continuous flight training is crucial. However, the current infrastructure of domestic airports and airfields is insufficient to prepare for and respond to accidents, and there is a need for sufficient facility capacity. Therefore, this study examines the construction of a regional airport to minimize aviation accidents and selects factors necessary for determining the site location. Among the 11 selected factors, six were considered the most important site selection factors, including noise issues, weather conditions, obstacle limitations, environmental issues, airspace conditions, and facility usability. Applying these factors, an analysis was conducted on the Songpo area of Sacheon City, Gyeongsangnam-do. Based on a comprehensive review, it can be concluded that the Songpo area is a suitable choice for a regional airport due to its excellent transportation environment, consideration of noise and environmental issues with the residential population, and other factors. Furthermore, the development of the aviation industry is expected to bring about an increase in tourism and economic benefits, and it is anticipated to make a significant contribution to the domestic aviation industry along with the construction of the currently under-construction Ulleung Airport.

The Analysis of the the characteristics of Korean peninsula Aircraft Turbulence Index using KWRF (KWRF를 활용한 한반도 항공기 난류 지수 특성 분석)

  • Kim, Young-Chul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.18 no.1
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    • pp.89-99
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    • 2010
  • The purpose of this study is analysis of Korean peninsula aircraft turbulence using the numerical weather prediction model, KWRF with the various turbulence index and pilot weather report data. Compared with the pilot weather report data and Calculated the turbulence index using the KWRF model result, many turbulence index show the similar horizontal distribution, except for the TUB2 and VWS. The analysis of vertical structure of turbulence, there are some difference each turbulence index respectively, but severe turbulence turn up in 15,000ft almost turbulence index. above 20,000ft height, intensity of turbulence vary each turbulence index. Through this turbulence study, It is founded on the research and development of the Korean peninsula aircraft turbulence