Donggun OhYonsei University · Department of Atmospheric Sciences
Donggun Oh
Doctor of Philosophy
About
7
Publications
532
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30
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Introduction
I am currently investigating the microphysical processes in the cloud and their application to parameterization using the large-eddy simulation (LES) and Lagrangian cloud model (LCM).
Publications
Publications (7)
Offshore wind resource maps are the primary data for wind power project, national renewable energy supply policy, and
power grid planning. In this study, we discussed trends in wind resource map production technology. A survey has been performed
focusing on production technology and application status of wind resource maps for the representative co...
This study explored the potential and implementation of renewable energy sources in Sri Lanka, focusing on the theoretical potential of solar and wind energy to develop self-reliant energy models. Using advanced climate data from the European Centre for Medium-Range Weather Forecasts and Global Solar/Wind Atlas provided by the World Bank, we assess...
The activation of aerosol particles and its contribution to cloud droplet size distributions in shallow cumulus clouds are investigated by analyzing the cloud field simulation results using a Lagrangian cloud model coupled with large eddy simulation, which allows explicit simulations of the activation and tracking of each super‐droplet. Analysis is...
The activation of aerosol particles and its contribution to cloud droplet size distributions in shallow cumulus clouds are investigated using a Lagrangian cloud model (LCM), allowing explicit simulations of the activation and tracking of each simulated hydrometeor. This analysis is focused on the differences in activations for aerosol particles fol...
The roles of the drop size distribution (DSD) and turbulence in the autoconversion rate A are investigated by analyzing Lagrangian cloud model (LCM) data for shallow cumulus clouds. The correlations of DSD and turbulence with other cloud parameters are estimated, and they are applied to parameterize their effects on A. A new parameterization of A b...
Cloud microphysics parameterizations for shallow cumulus clouds are analyzed based on Lagrangian cloud model (LCM) data, focusing on autoconversion and accretion. The autoconversion and accretion rates, A and C, respectively, are calculated directly by capturing the moment of the conversion of individual Lagrangian droplets from cloud droplets to r...
