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Characteristics of Convectively Induced Turbulence in East Asia Using Geostationary Korea Multi‐Purpose Satellite‐2A (GK‐2A) and In Situ Aircraft Data
JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES
12 december 2024
Sung-Ho Baek, Jung-Hoon Kim, Soo-Hyun Kim, Yoonjin...
Deep convection and its vicinity are important areas of turbulence encountered in cruising aircraft, called convectively induced turbulence (CIT). ...
Machine learning-based convectively-induced turbulence intensity estimation using geostationary satellite data for aviation safety
ADVANCED AI/ML FOR HIGH-IMPACT WEATHER PREDICTION AND OBSERVATION II ORAL
atmospheric sciences | 11 december 2024
Yoonjin Lee, Soo-Hyun Kim, Jung-Hoon Kim, YOO-JEON...
Atmospheric turbulence presents significant hazards to aviation safety when encountered unexpectedly. With climate change, the frequency and intensity...
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Testing INCUS Methods Experiment - Suborbital preLaunch Investigation of Convective Evolution (TIME SLICE)
NEW SUBORBITAL APPROACHES FOR OBSERVING DEEP CONVECTION POSTER
atmospheric sciences | 11 december 2024
Brenda Dolan, Kristen L. Rasmussen, Pavlos Kollias...
The upcoming NASA INvestigation of Convective UpdraftS (INCUS) mission will employ a reflectivity time-differencing technique to estimate tropical con...
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Retrieval of boundary layer precipitable water from GOES ABI using machine learning techniques
WEATHER, WATER, AND CLIMATE APPLICATIONS FROM GEOSTATIONARY SATELLITES OF THE PRESENT AND FUTURE II ORAL
atmospheric sciences | 12 december 2023
Yoonjin Lee, Kyle Hilburn
Boundary layer precipitable water is an important quantity for accurate prediction of convective initiation. Observing low-level moisture is especiall...
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GREMLIN: GOES Radar Estimation via Machine Learning to Inform NWP
WEATHER, WATER, AND CLIMATE APPLICATIONS FROM GEOSTATIONARY SATELLITES OF THE PRESENT AND FUTURE I POSTER
atmospheric sciences | 12 december 2023
Kyle Hilburn, Yoonjin Lee
Imagery from the Geostationary Operational Environmental Satellite (GOES) has been a key element of U.S. operational weather forecasting since 1975. T...
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GREMLIN: GOES Radar Estimation via Machine Learning to Inform NWP
EARTH OBSERVATIONS FROM GEOSTATIONARY SATELLITES: APPLIED RESEARCH AND APPLICATIONS IV POSTER
atmospheric sciences | 15 december 2021
Kyle Hilburn, Yoonjin Lee, Imme Ebert-Uphoff
Earth observations from the GOES-R Series provide high-resolution rapidly refreshing information to support situational awareness in weather forecasti...
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Applying machine learning methods to detect convection using GOES-16 ABI data
PRECIPITATION THROUGH THE EYES OF MACHINE LEARNING AND ADVANCED STATISTICS: REMOTE SENSING, UNCERTAINTIES, AND VARIABILITY I ORAL
hydrology | 14 december 2021
Yoonjin Lee, Christian D. Kummerow, Imme Ebert-Uph...
Initiating deep atmospheric convection in high-resolution regional models, such as RAP/HRRR, is achieved by applying latent heating in convective regi...
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Critical Research Pathways in Satellite-Based Dense Optical Flow Techniques for Atmospheric Science
EARTH OBSERVATIONS FROM GEOSTATIONARY SATELLITES: APPLIED RESEARCH AND APPLICATIONS I ORAL
atmospheric sciences | 14 december 2021
Jason Apke, Steven D. Miller, Matthew A. Rogers, K...
Over the last three years, the computation of Advanced Baseline Imager-enabled Dense Optical Flow (DOF), or the apparent brightness feature motions in...
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