Seung Hee Kim

Chapman University

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (6)

Yangwon LEE

Professor

Pusan National University

SOUTH KOREA

View details

Ki-Hong Min

Kyungpook National University

SOUTH KOREA

View details

Shenyue Jia

Assistant Professor

University of Miami

UNITED STATES

View details

Yun Gon Lee

Assistant Professor

Chungbuk National University

SOUTH KOREA

View details

GYUWON LEE

Professor

Kyungpook National University

SOUTH KOREA

View details

Yi Victor Wang

Assistant Professor

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Seung Hee Kim

Research Interests

Explore related searches

Contact this professor

Articles (10)

Evaluation of Topographic Effect Parameterizations in Weather Research and Forecasting Model over Complex Mountainous Terrain in Wildfire-Prone Regions

Nowcasting Heavy Rainfall With Convolutional Long Short-Term Memory Networks: A Pixelwise Modeling Approach

An Automated Machine Learning Approach to the Retrieval of Daily Soil Moisture in South Korea Using Satellite Images, Meteorological Data, and Digital Elevation Model

Spatial Gap-Filling of Himawari-8 Hourly AOD Products Using Machine Learning with Model-Based AOD and Meteorological Data: A Focus on the Korean Peninsula

Kinematic and Dynamic Structure of the 18 May 2020 Squall Line over South Korea

Yearly population data at census tract level revealed that more people are now living in highly fire-prone zones in California, USA

Relative Importance of Radar Variables for Nowcasting Heavy Rainfall: A Machine Learning Approach

Feasibility analysis of AERONET lunar AOD for nighttime particulate matter estimation

Verifying empirical predictive modeling of societal vulnerability to hazardous events: A Monte Carlo experimental approach

Meteorological characteristics of fog events in Korean smart cities and machine learning based visibility estimation

Collaborators (6)

Yangwon LEE

Ki-Hong Min

Shenyue Jia

Yun Gon Lee

GYUWON LEE

Yi Victor Wang

Make your next move.