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Yoo Chang-Hyun

Ewha Womans University

研究室紹介

Professor Yoo Chang-Hyun's research lab specializes in atmospheric and climate sciences, with a focus on subseasonal to seasonal climate prediction, extreme weather event analysis, and air quality modeling. The lab investigates the dynamics of heavy precipitation, atmospheric rivers, and warm conveyor belts using advanced climate models and observational datasets. It also develops statistical and dynamical models to predict air pollution (e.g., PM2.5) and assesses the impact of climate variability on regional weather patterns in East Asia. The research integrates numerical modeling, statistical analysis, and long-term observational data to improve climate resilience and environmental monitoring.

climate predictionextreme weatherPM2.5 modelingwarm conveyor beltssubseasonal forecasting

Research Overview

Papers
8
Total Citations
9
Papers (5y)
8
Primary Field

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
8total
2019
2022
2023
2024
2026
Citations per year (5y)
9total
20192022202320242026

Selected Papers

8
1
Article|4 citations·2022
Markov Chain Analysis of Rainfall over East Asia: Unusual Frequency, Persistence, and Entropy in the Summer 2020
이윤경, 김혜실, 김정은, 최용상, 유창현

Record-breaking rainfall occurred over East Asia during the summer of 2020. However, in which aspect the summer of 2020 can be differentiated from the other years remains to be quantified. To this end, this study employs Markov chain analysis to quantify summer rainfall variability over East Asia using three Markov descriptors for heavy precipitation events of over 10 mm day−1: frequency, persistence, and entropy (i.e., irregularity). It is found that the heavy rainfall during the summer of 2020

2
Article|4 citations·2019
GloSea5 북반구 대기 원격상관패턴의 1~6주 주별 예측성능 검증
김도경, 김영하, 유창현

Due to frequent occurrence of abnormal weather, the need to improve the accuracy of subseasonal prediction has increased. Here we analyze the performance of weekly predictions out to 6 weeks by GloSea5 climate model. The performance in circulation field from January 1991 to December 2010 is first analyzed at each grid point using the 500-hPa geopotential height. The anomaly correlation coefficient and mean-square skill score, calculated each week against the ECWMF ERA-Interim reanalysis data, il

3
Article|1 citations·2022
Statistical Seasonal Forecasting of Winter and Spring PM2.5 Concentrations Over the Korean Peninsula
정다정, 유창현, 예상욱, 윤진호, 이대근, 이재범, 최진영

Concentrations of fine particulate matter smaller than 2.5 μm in diameter (PM2.5) over the Korean Peninsula experienceyear-to-year variations due to interannual variation in climate conditions. This study develops a multiple linear regressionmodel based on slowly varying boundary conditions to predict winter and spring PM2.5 concentrations at 1–3-month leadtimes. Nation-wide observations of Korea, which began in 2015, is extended back to 2005 using the local Seoul government’sobservations, const

4
dataset|0 citations·2026
Linking Warm Conveyor Belts to the TEM Circulation in Northern Hemisphere Midlatitude Winter
Yunsung Hwang, Changhyun Yoo, Sukyoung Lee, Michael Sprenger, Marc Federer
Zenodo (CERN European Organization for Nuclear Research)OA

This dataset provides gridded daily warm conveyor belt (WCB) frequency of occurrence for boreal winter (December–February) from 1 December 1980 to 28 February 2022 (3790 days). It includes WCB occurrence frequency on a 0.5° × 0.5° latitude–longitude grid in WCB_daily_1980_2022_DJF_latlon.nc, reported for the total field and separated into three vertical phases: inflow (GT800; pressure > 800 hPa), ascent (MIDTROP; 800–400 hPa), and outflow (LT400; pressure < 400 hPa). The file WCB_daily_1980_2022

5
dataset|0 citations·2026
Linking Warm Conveyor Belts to the TEM Circulation in Northern Hemisphere Midlatitude Winter
Yunsung Hwang, Changhyun Yoo, Sukyoung Lee, Michael Sprenger, Marc Federer
Zenodo (CERN European Organization for Nuclear Research)OA

This dataset provides gridded daily warm conveyor belt (WCB) frequency of occurrence for boreal winter (December–February) from 1 December 1980 to 28 February 2022 (3790 days). It includes WCB occurrence frequency on a 0.5° × 0.5° latitude–longitude grid in WCB_daily_1980_2022_DJF_latlon.nc, reported for the total field and separated into three vertical phases: inflow (GT800; pressure > 800 hPa), ascent (MIDTROP; 800–400 hPa), and outflow (LT400; pressure < 400 hPa). The file WCB_daily_1980_2022

6
Article|0 citations·2023
The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation
구명서, 송강현, 김정은, 손석우, 장은철, 정지훈, 김형준, 문병권, 박록진, 예상욱, 유창현, 홍송유

The Global/Regional Integrated Model system (GRIMs) is upgraded to version 4.0, with the advancement of the moistureadvection scheme and physics package, focusing on the global model program (GMP) for seasonal simulation and climatestudies. Compared to the original version 3.1, which was frozen in 2013, the new version shows no Gibbs phenomenon in themoisture and tracer fields by implementing the semi-Lagrangian advection scheme with a better computational efficiency athigher resolution. The per

7
Article|0 citations·2022
Hadley Circulation in the Present and Future Climate Simulations of the K-ACE Model
허이제, 김민주, 곽경민, 성현민, 변영화, 송하준, 유창현

Hadley circulation (HC) is a planetary-scale overturning circulation in the tropics that transports momentum, heat, and moisture poleward. In this study, we evaluate the strength and extent of the HC in the historical and future climate simulations of the Korean Meteorological Administration (KMA) Advanced Community Earth system model (K-ACE), which was recently developed by the National Institute of Meteorological Sciences of Korea. Compared with a reanalysis product, the overall structure of t

8
Article|0 citations·2024
민간기업을 위한 물리적 기후리스크 추정 연구
최용상, 유창현, 공민정, 조민정, 정해수, 이윤경, 박선기, 안명환, 황재학, 김성주

Private companies are increasingly required to take more substantial actions on climate change. This study introduces the principle and cases of climate (physical) risk estimation for 11 private companies in Korea. Climate risk is defined as the product of three major determinants: hazard, exposure, and vulnerability. Hazard is the intensity or frequency of weather phenomena that can cause disasters. Vulnerability can be reflected in the function that explains the relationship between past weath

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