17 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chonnam National UniversityKR2 papers
- Ulsan National Institute of Science and TechnologyKR2 papers
- Genome and Company (South Korea)KR1 paper
- Kongju National UniversityKR1 paper
- Korea Advanced Institute of Science and TechnologyKR1 paper
- Korea Electric Power Corporation (South Korea)KR1 paper
- Korea Information System (South Korea)KR1 paper
- Korea Meteorological AdministrationKR1 paper
- Pohang University of Science and TechnologyKR1 paper
- Pukyong National UniversityKR1 paper
- Pusan National UniversityKR1 paper
- Yonsei UniversityKR1 paper
6 papers
Concurrent daytime and nighttime heatwaves in the late 21st century over the CORDEX-East Asia phase 2 domain using multi-GCM and multi-RCM chains
Young-Hyun Kim, Joong-Bae Ahn, Myoung-Seok Suh +5
The adverse impacts of extreme heat on human health are greater when concurrent daytime and nighttime heatwaves (CDNHWs) occur than when daytime or nighttime heatwaves occur indivi…
Added value of dynamical downscaling in sub-seasonal tropical cyclone forecast
Taehyung Kim, Eunji Kim, Haerin Park +2
Improving the sub-seasonal forecast of tropical cyclones (TCs) remains a significant challenge for climate models. This study evaluated the characteristics of tropical cyclones (TC…
Explainable AI-Based Interface System for Weather Forecasting Model
Soyeon Kim, Junho Choi, Yeji Choi +6
Machine learning (ML) is becoming increasingly popular in meteorological decision-making. Although the literature on explainable artificial intelligence (XAI) is growing steadily,…
Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory
Ki-Hong Shin, Jae-Won Jung, Ki-Ho Chang +3
This paper presents the predictive accuracy using two-variate meteorological factors, average temperature and average humidity, in neural network algorithms. We analyze result in f…
Iterative Method for Tuning Complex Simulation Code
Yun Am Seo, Youngsaeng Lee, Jeong-Soo Park
Tuning a complex simulation code refers to the process of improving the agreement of a code calculation with respect to a set of experimental data by adjusting parameters implement…
Integration of max-stable processes and Bayesian model averaging to predict extreme climatic events in multi-model ensembles
Yonggwan Shin, Youngsaeng Lee, Juntae Choi +1
Projections of changes in extreme climate are sometimes predicted by using multi-model ensemble methods such as Bayesian model averaging (BMA) embedded with the generalized extreme…