Profiles
Scopus
📍Current Position
JungHoon Shin is a highly regarded physical scientist currently working as a Physical Scientist II at the Environmental Modeling Center (EMC) under NOAA/NWS/NCEP/EMC, where he is employed by Lynker. His contributions in the field of atmospheric science and hurricane forecasting are recognized globally, especially his work on the Hurricane Analysis and Forecast System (HAFS). His current role includes working on hurricane forecast models, numerical modeling, and conducting groundbreaking research on hurricane dynamics.
📝Publication Achievements
Ph.D. in Atmospheric and Oceanic Science (University of Maryland, 2016),His dissertation, “The Impact of Upper-Level Processes on the Intensity and Structural Changes of Hurricane Sandy (2012),” showcases his early focus on tropical meteorology and hurricane dynamics. Master of Science in Atmospheric and Oceanic Science (University of Maryland, 2012), With a GPA of 3.75/4.0, JungHoon honed his skills in numerical modeling and tropical cyclone analysis. Master of Science in Atmospheric Science (Yonsei University, 2009), GPA: 3.98/4.3, continuing his specialization in atmospheric sciences. Bachelor of Science in Atmospheric Science (Yonsei University, 2007), Transferred from Sogang University, where he initially studied physics. GPA: 3.86/4.3.
🔍Ongoing Research
High-Resolution Hurricane Numerical Modeling: Focused on hurricane vortex initialization and convective parameterization. Improvement of Vortex Initialization (VI): He is significantly improving hurricane analysis through enhanced vortex initialization techniques. Convective Parameterization: Advancing the physical and dynamical understanding of hurricanes through numerical models such as HAFS and WRF. Real-Time Experiment Monitoring: He plays a crucial role as co-PI for real-time hurricane forecast experiments.
🔬 Research Interests
Development of the Hurricane Analysis and Forecast System (HAFS), a cutting-edge operational hurricane forecast model. High-resolution hurricane numerical modeling, focusing on vortex initialization and convective parameterization. Hurricane dynamics, specifically the intensity and structural changes of hurricanes, analyzed through a cloud-permitting Weather Research and Forecasting (WRF) model. Broader topics in tropical and synoptic meteorology.
🎓Academic Background
JungHoon Shin’s academic journey is marked by exceptional achievements in atmospheric science. He earned his Ph.D. in Atmospheric and Oceanic Science from the University of Maryland, College Park, MD, in August 2016, with a dissertation titled “The Impact of Upper-Level Processes on the Intensity and Structural Changes of Hurricane Sandy (2012).” Before this, he obtained his Master’s in Atmospheric and Oceanic Science from the same institution in December 2012, achieving an impressive GPA of 3.75/4.0. His academic foundation in South Korea includes a Master’s in Atmospheric Science from Yonsei University, Seoul, with an outstanding GPA of 3.98/4.3, and a Bachelor’s degree in Atmospheric Science from the same university in 2007. His early education began at Sogang University, where he initially studied Physics before transferring to Yonsei University in 2005.
🏆Scholarships and Awards
JungHoon Shin has demonstrated academic and research excellence throughout his career. Although specific scholarships and awards are not detailed, his advanced academic achievements, along with his positions at prominent institutions like NOAA and University of Maryland, reflect the recognition he has earned in his field.
🧬Bioinformatics
JungHoon Shin possesses strong technical and bioinformatics skills essential for atmospheric modeling. His proficiency in programming languages such as FORTRAN, combined with experience in Python and shell scripting, has enabled him to develop and enhance models like HAFS and WRF. Additionally, he is proficient in GrADS and familiar with NCAR Command Language (NCL) and Read Interpolate Plot (RIP4).
🌐Professional Associations
JungHoon’s work is deeply embedded in bioinformatics for climate modeling, which involves using large datasets and high-performance computational tools to model atmospheric conditions and hurricane structures.
📚Training & Workshops
JungHoon regularly participates in professional development through workshops and training programs, focusing on hurricane forecasting, numerical modeling, and data analysis methods.
🎤Oral Presentations and🗣️Thought Leadership
2024 Unifying Innovations in Forecasting Capabilities Workshop Topic: Development of Cloud and Vertical Velocity Initialization in HAFS. 2024 American Meteorological Society (AMS) Conference on Hurricanes and Tropical Meteorology Presented multiple topics related to hurricane forecasting and numerical modeling techniques.
🧑🔬Tasks Completed as a Researcher
Running High-Resolution Simulations: Simulating various hurricane cases, including Hurricane Sandy (2012) and Hurricane Earl (2010). Data Handling and Analysis: Proficient in handling global meteorological data, satellite data, and reanalysis datasets. Supercomputer Operations: Using NOAA, NASA, and other supercomputers to run complex numerical models.
🚀Success Factors
JungHoon’s success is driven by his deep understanding of hurricane dynamics, strong computational skills, and ability to innovate in hurricane forecast modeling. His work contributes to real-time hurricane forecasts, helping agencies like NOAA to better predict and respond to hurricane threats.
🧪Publications & Laboratory Experience
With numerous publications under his belt and extensive laboratory experience in analyzing hurricanes, Shin’s research significantly contributes to the global understanding of hurricane formation and behavior. His work on Hurricane Sandy is particularly notable, as it provided new insights into the upper-level processes affecting storm intensity and structure.
🔍 Conclusion
JungHoon Shin’s ongoing research, academic achievements, and publication records highlight his commitment to advancing hurricane forecasting. His expertise in numerical modeling, hurricane dynamics, and data analysis continues to shape the way we understand and predict hurricanes, making his contributions invaluable to atmospheric sciences.
Publications