RESEARCH FAMILY

My previous research applied deep learning techniques to hydrometeorology, integrating multiple meteorological datasets from Northeast Asia to produce more accurate, high-resolution precipitation data. Currently, I am developing a ResU-Net-based model to further improve precipitation prediction using high-resolution climate data. 

My current research focuses on developing a transformer-based deep learning model for medium-range streamflow forecasting across South Korea by independently processing observation and forecast data.

Understanding Tropical Cyclones (TC) rainfall, risk assessment, and intensification processes is my main objective. I integrate statistical and physical modeling to analyze TC-related precipitation, assess flood risk, and refine precipitation data accuracy. 

From a multi-hazard perspective, I examine global drought, with a specific focus on synchronized regional occurrences. My aim is to bolster policy-making and disaster risk management by enhancing comprehension of drought patterns and their impacts. 

Exploring the sensitivity of Global Hydrological Models (GHMs) to parameter definitions through multi-model and multi-variable approaches is my current focus. My goal is to optimize GHM performance via the implementation of refined parameterization strategies.

I characterize the dynamics of urban flooding using urban flood modeling, utilizing tools like the Storm Water Management Model (SWMM) and LISFLOOD-FP. 

The impact of climate extremes on socio-economic systems is what I investigate, with a particular emphasis on the effects of compound dry hazards on terrestrial ecosystems. 

Using the Storm Water Management Model (SWMM), I assess urban sewer systems and urban flooding. 

I examine how rapidly intensifying tropical cyclones drive unusually high storm surges. By analyzing historical track, intensity, and storm surge reconstructed data, I quantify the extra coastal flood risk that sudden cyclone strengthening adds to at-risk shorelines.  

I study climate extremes, focusing on compound dry hazards in Asia. By exploring their frequency and severity, my research aims to improve our understanding of how these hazards interact and identify regions most vulnerable to their occurrence. My findings support climate adaptation and mitigation strategies by providing insights into the risks associated with compound extreme events in a warming climate.

정구창
(Jung Guchang)

이송윤
(Lee Songyun)

지수광
(Sukwang Ji)

Victor Mikael de Padua

Sothearith Min