Park Seon-Gi

In this study, the model initial uncertainties associated with the track forecast of Hurricane Bonnie (1998) is examined through a series of observing-systems simulation experiments (OSEs) with the Pen State University-National Center for Atmospheric Research mesoscale model (i.e., MM5). Analysis soundings with varying densities and configurations are used to mimic the inclusion of dropwindsonde data in the model initial conditions. Results show that increasing the would result in better track f

The land surface processes play an important role in weather and climate systems through its regulation of radiation, heat, water and momentum fluxes. Soil temperature (ST) is one of the most important parameters in the land surface processes; however, there are few extensive measurements of ST with a long time series in the world. According to the CLImatology of Parameters at the Surface (CLIPS) methodology, the output of a trusted Soil-Vegetation- Atmosphere Transfer (SVAT) scheme can be utili

The lack of accurate representations of biospheric components and their biophysical and biogeochemical processes is a great source of uncertainty in current climate models. The interactions between terrestrial ecosystems and the climate include exchanges not only of energy, water and momentum, but also of carbon and nitrogen. Reliable simulations of these interactions are crucial for predicting the potential impacts of future climate change and anthropogenic intervention on terrestrial ecosystem

In this study, the maximum likelihood ensemble filter (MLEF) is applied to a tropical cyclone case to identify the uncertainty areas in the context of targeting observations, using the WRF model. Typhoon Sinlaku (2008), from which dropwindsonde data are collected through THORPEX Pacific Asian Regional Campaign (TPARC),is selected for the case study. For the uncertainty analysis, a measurement called the deep layer mean (DLM) wind variance is employed. With assimilation of conventional rawinsonde

In this study, the influence of a change in land use on the local weather fields is investigated around the Lake Shihwa area using synthetic land cover data and a high-resolution mesoscale model - the Weather Research and Forecasting (WRF). The default land cover data generally used in the WRF is based on the land use category of the United States Geological Survey (USGS), which erroneously presents most land areas of the Korean Peninsula as savannas. To revise such a fault, a multi-temporal lan

Domestic IOP (intensive observing period) has mostly been represented by the KEOP (Korea Enhanced Observing Period), which started the 5-yr second phase in 2006 after the first phase (2001-2005). During the first phase, the KEOP had focused on special observations (e.g., frontal systems, typhoons, etc.) around the Haenam supersite, while extended observations have been attempted from the second phase, e.g., mountain and downstream meteorology in 2006 and heavy rainfall in the mid-central region

Many studies have related the recent variations of wildfire regime such as the increasing number of occurrances, their patterns and timing changes, and the severity of their extreme cases with global warming. However, there are only a few numbers of wildfire studies to assess how the future wildfire regime will change in the interactions between land and atmosphere with climate change especially over East Asia. This study was performed to estimate the future changing aspect of wildfire danger wi

In this study, the amounts of the total precipitable water (TPW) in both global and regional scale are estimated from the MODIS instrument, which is on-board the EOS satellites, Terra and Aqua. The estimation is made from the five near-infrared spectral bands, using a technique employing ratios of water-vapor absorbing channels centered at 0.905, 0.936, 0.940 μm with atmospheric window channels at 0.865 and 1.240 μm. Through analyses of monthly and eight-days mean TPW, one can monitor characteri

Celebrating its 60th anniversary, this study suggests the future vision of the KoreanMeteorological Society (KMS) for the next 60 years. The vision is “to advance atmosphericscience and technology that contributes to human society as well as protect people from notonly climate change risks but also weather, climate, and environmental disasters”. Based on thesuggestions from its members, this study proposes the KMS future development plan as follows. The first plan is to strengthen in leading the

The objective of this study is to characterize landslide susceptibility depending on various geoenvironmental variables as well as to compare the Frequency Ratio (FR) and Evidential Belief Function (EBF) methods for landslide susceptibility analysis of rainfall-induced landslides. In 2013, a total of 259 landslides occurred in Chuncheon, Gangwon Province, South Korea, due to heavy rainfall events with a total cumulative rainfall of 296~721mm in 106~231 hours duration. Landslides data were mapped

High concentration Asian Dust Storms (ADSs) significantly impact health and economic activities by increasing atmospheric particulate matter. This study aims to understand the mechanisms, migration paths, and activity patterns of ADSs, which are essential for issuing timely warnings and aiding in atmospheric environment research. Using unsupervised learning methods, including the principal component analysis (PCA) and K-means clustering, we analyzed the mega ADS events from 2002 to 2022 based on

Snow plays a vital role in the interaction between land and atmosphere in the state-of-the-art land surface models (LSMs) and the real world. While snow plays a crucial role as a boundary condition in meteorological applications and serves as a vital water resource in certain regions, the acquisition of its observational data poses significant challenges. An effective alternative lies in utilizing simulation data generated by Land Surface Models (LSMs), which accurately calculate the snow-relate

Private companies are increasingly required to take more substantial actions on climate change. This study introduces the principle and cases of climate (physical) risk estimation for 11 private companies in Korea. Climate risk is defined as the product of three major determinants: hazard, exposure, and vulnerability. Hazard is the intensity or frequency of weather phenomena that can cause disasters. Vulnerability can be reflected in the function that explains the relationship between past weath

Asian dust storms (ADSs), originating from the Gobi and Taklamakan deserts, have widespread impacts on air quality, climate, ecosystems, and public health across East Asia due to the large-scale aerosol transport. Accurate prediction of ADS is essential for developing eff ective mitigation strategies and reducing their public health and ecological repercussions. We investigated the impact of assimilating aerosol optical depth (AOD) from the Geostationary Environment Monitoring Spectrometer (GEMS