4 citations · 4 across the 7 of their papers we have counts for
7 papers
Sonny: Breaking the Compute Wall in Medium-Range Weather Forecasting
Minjong Cheon
Weather forecasting is a fundamental problem for protecting lives and infrastructure from high-impact atmospheric events. Recently, data-driven weather forecasting methods based on…
Demystifying KAN for Vision Tasks: The RepKAN Approach
Minjong Cheon
Remote sensing image classification is essential for Earth observation, yet standard CNNs and Transformers often function as uninterpretable black-boxes. We propose RepKAN, a novel…
AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale
Minjong Cheon
The advent of Large Weather Models (LWMs) has marked a turning point in data-driven forecasting, with many models now outperforming traditional numerical systems in the medium rang…
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density
Minjong Cheon
Recent advances in AI-based weather forecasting models, such as FourCastNet, Pangu-Weather, and GraphCast, have demonstrated the remarkable ability of deep learning to emulate comp…
Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis
Yo-Hwan Choi, Seon-Yu Kang, Minjong Cheon
As global warming increases the complexity of weather patterns; the precision of weather forecasting becomes increasingly important. Our study proposes a novel preprocessing method…
KARINA: An Efficient Deep Learning Model for Global Weather Forecast
Minjong Cheon, Yo-Hwan Choi, Seon-Yu Kang +3
Deep learning-based, data-driven models are gaining prevalence in climate research, particularly for global weather prediction. However, training the global weather data at high re…
Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5
Minjong Cheon, Daehyun Kang, Yo-Hwan Choi +1
Modern deep learning techniques, which mimic traditional numerical weather prediction (NWP) models and are derived from global atmospheric reanalysis data, have caused a significan…