Donghyuck Yoon

About Donghyuck Yoon

Donghyuck Yoon, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Ulsan National Institute of Science and Technology, specializes in the field of Heatwave, Numerical Weather Prediction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analysis and Forecasting of High-Impact Weather Systems in East Asia Using Numerical Models

Improved Tropical Cyclone Track Simulation over the Western North Pacific using the WRF Model and a Machine Learning Method

Role of Land–Atmosphere Interaction in the 2016 Northeast Asia Heat Wave: Impact of Soil Moisture Initialization

Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next‐day maximum temperature in South Korea

A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches

Comparison of regional climate model performances for different types of heat waves over South Korea

Recent changes in heatwave characteristics over Korea

Donghyuck Yoon Information

University

Position

___

Citations(all)

135

Citations(since 2020)

135

Cited By

32

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Donghyuck Yoon Skills & Research Interests

Heatwave

Numerical Weather Prediction

Top articles of Donghyuck Yoon

Analysis and Forecasting of High-Impact Weather Systems in East Asia Using Numerical Models

2023/11/21

Donghyuck Yoon
Donghyuck Yoon

H-Index: 3

Improved Tropical Cyclone Track Simulation over the Western North Pacific using the WRF Model and a Machine Learning Method

Asia-Pacific Journal of Atmospheric Sciences

2023/6

Role of Land–Atmosphere Interaction in the 2016 Northeast Asia Heat Wave: Impact of Soil Moisture Initialization

Journal of Geophysical Research: Atmospheres

2023/1/27

Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next‐day maximum temperature in South Korea

Quarterly Journal of the Royal Meteorological Society

2022/4

A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches

Weather and Climate Extremes

2022/3/1

Comparison of regional climate model performances for different types of heat waves over South Korea

Journal of Climate

2021/3

Donghyuck Yoon
Donghyuck Yoon

H-Index: 3

Myong-In Lee
Myong-In Lee

H-Index: 22

Recent changes in heatwave characteristics over Korea

Climate Dynamics

2020/10

See List of Professors in Donghyuck Yoon University(Ulsan National Institute of Science and Technology)

Co-Authors

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