국립부경대학교 | ENVIRONMENTAL AND MARINE SCIENCES AND TECHNOLOGY

Faculty

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Jihoon ShinAssistant Professor

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  • Email : mail
  • Tel : 051-629-6648
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Seoul National University, Ph.D.

There is no registered information.

 

 

cloud physics and climate modeling

- cloud physics

- stochastic physics parameterization

- physics parameterization based on machine learning

 

 

- climate modeling

There is no registered information.

Shin, J., Song, C., Kim, S., & Park, S. (2019). A Heuristic Estimation of the Genesis Probability of Tropical Cyclones using Genesis Frequency and Genesis Potential Index. Journal of the Korean earth science society, 40(6), 561-571.

Shin, J., Park, S., Shin, S. I., Newman, M., & Alexander, M. A. (2020). Enhancing ENSO Prediction Skill by Combining Model-Analog and Linear Inverse Models (MA-LIM). Geophysical Research Letters, 47(1), e2019GL085914.

Shin, J., & Park, S. (2020). A Stochastic Unified Convection Scheme (UNICON). Part I: Formulation and single-column simulation for shallow convection. Journal of the Atmospheric Sciences, 77(2), 583-610.

Shin, J., & Park, S. (2020). Impacts of ENSO and Madden-Julian oscillation on the genesis of tropical cyclones simulated by general circulation models and compared to observations. Environmental Research Letters, 15(3), 034046.

Shin, J., & Park, S. (2020). The relationship between low-level cloud amount and its proxies over the globe by cloud type. Atmospheric Chemistry and Physics, 20(5), 3041-3060.

Shin, J. & Baik, J. J. (2022). Parameterization of Stochastically Entraining Convection using Machine Learning Technique. Journal of Advances in Modeling Earth Systems, 14(5), e2021MS002817.

Shin, J. & Baik, J. J. (2023). Optimization and Evaluation of Stochastic Unified Convection Using Single-Column Model Simulations at Multiple Observation Sites. Journal of Advances in Modeling Earth Systems, 15(5), e2022MS003473.

 

 

Shin, J. & Baik, J. J. (2023). Global Simulation of the Madden-Julian Oscillation with Stochastic Unified Convection Scheme. Journal of Advances in Modeling Earth Systems, 15(7), e2022MS003578.

 

 

cloud physics and climate modeling laboratory