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Wind Shear Prediction at Jeju International Airport Using Tree-Based Machine Learning Algorithm

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Index for rating diagnostic tests
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A tail strike event of an aircraft due to terrain-induced wind shear at the Hong Kong International Airport
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Performance of super high resolution numerical weather prediction model in forecasting terrain‐disrupted airflow at the Hong Kong International Airport: case studies
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Some observations of low level wind shear at the Hong Kong International Airport in association with tropical cyclones
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Ensemble Methods in Machine Learning
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Short-term prediction of particulate matter (PM10 and PM2.5) in Seoul, South Korea using tree-based machine learning algorithms
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A deep learning method for real-time bias correction of wind field forecasts in the Western North Pacific
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Study of low-level wind shear at a Qinghai-Tibetan Plateau airport
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Effects of horizontal resolution and updated surface data on simulated low-level winds for the aviation safety over Incheon International Airport
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An introduction to ROC analysis
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Random Forests
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Probabilistic weather forecasting with machine learning
inferredcites →https://doi.org/10.1109/5.47729openalex-snapshot
Development of an automated windshear detection system using Doppler weather radar
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The predictability of a flow which possesses many scales of motion
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.1155/2016/1454513openalex-snapshot
Observation and Numerical Simulation of Terrain-Induced Windshear at the Hong Kong International Airport in a Planetary Boundary Layer without Temperature Inversions
inferredcites →https://doi.org/10.1175/2007jtecha1057.1openalex-snapshot
Applications of an Infrared Doppler Lidar in Detection of Wind Shear
inferredcites →https://doi.org/10.1175/2010jamc2492.1openalex-snapshot
Statistics and Possible Sources of Aviation Turbulence over South Korea
inferredcites →https://doi.org/10.1175/bams-d-23-0240.1openalex-snapshot
Global Warming–Induced Warmer Surface Water over the East China Sea Can Intensify Typhoons like Hinnamnor
inferredcites →https://doi.org/10.1175/jamc-d-16-0205.1openalex-snapshot
Prediction of Energy Dissipation Rates for Aviation Turbulence. Part I: Forecasting Nonconvective Turbulence
inferredcites →https://doi.org/10.1175/jamc-d-17-0337.1openalex-snapshot
An Improved Algorithm for Low-Level Turbulence Forecasting
inferredcites →https://doi.org/10.1175/jamc-d-19-0186.1openalex-snapshot
Predicting Low-Level Wind Shear Using 200-m-Resolution NWP at the Hong Kong International Airport
inferredcites →https://doi.org/10.12985/ksaa.2021.29.1.001openalex-snapshot
A Study on the Characteristics of Low-Level Wind Shear at Jeju International Airport from Go-Around Flight Perspective
inferredcites →https://doi.org/10.2307/1271312openalex-snapshot
Statistical Methods in the Atmospheric Sciences
inferredcites →https://doi.org/10.2514/3.25293openalex-snapshot
Low-level windshear alert systems and Doppler radar in aircraft terminal operations
inferredcites →https://doi.org/10.3390/atmos12050644openalex-snapshot
Wind Shear Prediction from Light Detection and Ranging Data Using Machine Learning Methods
inferredcites →https://doi.org/10.3390/atmos14020268openalex-snapshot
Time-Series Prediction of Intense Wind Shear Using Machine Learning Algorithms: A Case Study of Hong Kong International Airport
inferredcites →https://doi.org/10.3402/tellusa.v21i3.10086openalex-snapshot
The predictability of a flow which possesses many scales of motion
inferredcites →https://doi.org/10.3402/tellusa.v5i1.8563openalex-snapshot
Some Aspects of the Flow of Stratified Fluids: I. A Theoretical Investigation
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-snapshot
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.47853/fas.2023.e56openalex-snapshot
Long-term pattern changes of sea surface temperature during summer and winter due to climate change in the Korea Waters
inferredcites →https://doi.org/10.48550/arxiv.1603.02754openalex-snapshot
XGBoost: A Scalable Tree Boosting System
inferredcites →https://doi.org/10.48550/arxiv.1705.07874openalex-snapshot
A Unified Approach to Interpreting Model Predictions
inferredcites →https://doi.org/10.48550/arxiv.2203.14909openalex-snapshot
Wind speed forecast using random forest learning method
inferredcites →https://doi.org/10.5194/gmd-16-6433-2023openalex-snapshot
Machine learning for numerical weather and climate modelling: a review
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