Ewha Womans University · Earth and Planetary Sciences
Professor Seon Ki Park's research lab specializes in numerical weather prediction, climate modeling, and atmospheric data assimilation, with a strong focus on improving the accuracy of meteorological models through advanced optimization techniques and high-resolution simulations. The lab investigates mesoscale weather systems such as sea breezes and mesoscale convective systems, integrates multi-source observational data (e.g., satellite, radar, in-situ), and develops innovative methods to reduce model uncertainties and enhance predictive capabilities. Current research also extends to renewable energy resource assessment, particularly wind energy potential in regions like Bangladesh, by analyzing atmospheric boundary layer dynamics and long-term climate scenarios.
Figures are computed from collected data and may differ slightly.
Gb3 accumulation reduces K(Ca)3.1 channel expression by down-regulating ERK and AP-1 and up-regulating REST and the channel activity by decreasing intracellular levels of PI(3)P. Gb3 thereby evokes K(Ca)3.1 channel dysfunction, and the channel dysfunction in vascular endothelial cells may contribute to vasculopathy in Fabry disease.
Abstract Flash droughts are characterised by rapid onset, combined with the potential to severely impact agriculture and ecosystems. However, assessments of the ecological impacts of flash droughts, especially in Europe, are largely lacking. Here we investigate ecosystem responses to flash droughts in Europe between 2001 and 2019 using diverse observational data, including gross primary production (GPP) and leaf area index (LAI). We find that in arid regions an abrupt transition to water-stresse
A record‐breaking heavy rainfall event, with a 24‐hr accumulated rainfall of 870.5 mm, occurred in a coastal area at the foot of a mountain range in the central‐eastern part of the Korean Peninsula during the passage of Typhoon Rusa (2002). Synoptic features of this case were investigated via high‐resolution numerical analysis and forecast fields obtained from the PSU/NCAR MM5. The main causes of this localized heavy rainfall include: 1) strong low‐level convergence of moist air from the sea int
In this study a nonhydrostatic 3D cloud model, along with an automatic differentiation tool, is used to investigate the sensitivity of a supercell storm to prescribed errors (perturbations) in the water vapor field. The evolution of individual storms is strongly influenced by these perturbations, though the specific impact depends upon their location in time and space. Generally, perturbations in the rain region above cloud base have the largest impact on storm dynamics, especially for subsequen
This study aims to improve the performance of the Weather Research and Forecasting (WRF) model in the sea breeze circulation using the micro-Genetic Algorithm (micro-GA). We found the optimal combination of four physical parameterization schemes related to the sea breeze system, including planetary boundary layer (PBL), land surface, shortwave radiation, and longwave radiation, in the WRF model coupled with the micro-GA (WRF-μGA system). The optimization was performed with respect to surface met
Abstract. This study examines the uncertainty in calculating the fundamental climatological characteristics of precipitation in the East Asia region from multiple fine-resolution gridded analysis data sets based on in situ rain gauge observations and data assimilations. Five observation-based gridded precipitation data sets are used to derive the long-term means, standard deviations in lieu of interannual variability and linear trends over the 28-year period from 1980 to 2007. Both the annual an
Abstract In the land surface models predicting vegetation growth and decay, representation of the seasonality of land surface energy and mass fluxes largely depends on how to describe the vegetation dynamics. In this study, we developed a new parameterization scheme to characterize allocation of the assimilated carbon to plant parts, including leaves and fine roots. The amount of carbon allocation in this scheme depends on the climatological net primary production (NPP) of the plants. The newly
A flood-producing heavy rainfall event occurred at the mountainous coastal region in the northeast of South Korea on 5–6 August 2018, subsequent to extreme heat waves, through a quasi-stationary mesoscale convective system (MCS). We analyzed the storm environment via a multi-data approach using high-resolution (1-km) simulations from the Weather Research and Forecasting (WRF) and in situ/satellite/radar observations. The brightness temperature, from the Advanced Himawari Imager water vapor band,
The validity of the moist tangent linear model (TLM) derived from a time-dependent 1D Eulerian cloud model is investigated by comparing TLM solutions to differences between results from a nonlinear model identically perturbed. The TLM solutions are found to be highly sensitive to the amplitude of the applied perturbation, and thus the linear approximation is valid only for a specific range of perturbations. The TLM fails to describe the evolution of perturbations when the initial variation is gi
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