Journal of Atmospheric Science Research

Abstract: Warm-sector thunderstorms (WSTs), characterized by weak synoptic forcing and extreme precipitation rates, pose a major global forecasting challenge. This study investigates the mesoscale processes initiating WSTs over the complex terrain of the Democratic People's Republic of Korea (DPRK), a region where triggering mechanisms remain poorly understood. We analyze three extreme rainfall events (Hoichang 2016, Unpa... More

Abstract: Fog significantly affects aviation, transportation, agriculture, and energy in North India during winter. Accurate prediction is difficult due to nonlinear meteorological interactions and uncertainty. Traditional models provide point estimates without uncertainty, while Bayesian methods offer probabilistic outputs but struggle to capture complex temporal dependencies in atmospheric time-series data effectively. To address these limitations, this study... More

Abstract: Tropospheric ozone (O₃) is a secondary pollutant whose variability in tropical urban environments is strongly controlled by seasonal meteorology, photochemistry, and episodic emissions such as biomass burning. This study applies Singular Spectrum Analysis (SSA) combined with the Linear Recurrent Formula (LRF) to analyze and forecast daily tropospheric ozone in Campo Grande, Brazil, using SISAM/INPE satellite... More

Abstract: The El Niño-Southern Oscillation (ENSO) is a dominant interannual climate mode influencing global weather patterns. This study investigates the evolving relationship between ENSO and seasonal climate over the Democratic People's Republic of Korea (DPRK) from 1950 to 2024. Using the Niño3.4 index alongside homogenized monthly temperature and precipitation records from 37 stations, we applied continuous... More