A5050764325- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Climate variability and models
- Cryospheric studies and observations
- Atmospheric aerosols and clouds
- Tropical and Extratropical Cyclones Research
- Wind and Air Flow Studies
- Hydrology and Drought Analysis
- Ocean Waves and Remote Sensing
- Flood Risk Assessment and Management
- Radar Systems and Signal Processing
- Geophysics and Gravity Measurements
- Topology Optimization in Engineering
- Advanced SAR Imaging Techniques
- Radio Wave Propagation Studies
- Lightning and Electromagnetic Phenomena
- Internet of Things and Social Network Interactions
- Advanced Sensor and Energy Harvesting Materials
- Aeolian processes and effects
- Structural Engineering and Vibration Analysis
- Ecology and Conservation Studies
- GNSS positioning and interference
- Indoor and Outdoor Localization Technologies
- Gastric Cancer Management and Outcomes
Kyungpook National University
2016-2025
Mokpo National University
2023-2024
Konkuk University
1996-2024
Korea Meteorological Administration
2020
Kosin University
2015-2018
NSF National Center for Atmospheric Research
2008-2017
Research Applications (United States)
2017
Daegu Haany University
2017
Kosin University Gospel Hospital
2014
Korea Institute of Civil Engineering and Building Technology
2011
Abstract The spread of disease through a physical-contact network and the information about on communication are two intimately related dynamical processes. We investigate asymmetrical interplay between types spreading dynamics, each occurring its own layer, by focusing fundamental quantities underlying any process: epidemic threshold final infection ratio. find that an outbreak contact layer can induce effectively raise threshold. When structural correlation exists layers, remains unchanged...
Abstract. Although precipitation has been measured for many centuries, measurements are still beset with significant inaccuracies. Solid is particularly difficult to measure accurately, and wintertime measurement biases between different observing networks or regions can exceed 100 %. Using gauge results from the World Meteorological Organization Precipitation Intercomparison Experiment (WMO-SPICE), errors in caused by uncertainty, spatial variability precipitation, hydrometeor type, crystal...
This study introduces methods for generating fused precipitation data by applying radial basis function (RBF) interpolation, which integrates radar reflectivity-based with ground-based gauge measurements. Rain gauges provide direct point rainfall measurements near the ground, while radars capture spatial variability of precipitation. However, radar-based estimates, particularly extreme events, often lack accuracy due to their indirect derivation from reflectivity. The aims produce...
Abstract A systematic and intensive analysis is performed on 5 yr of reliable disdrometric data (over 20 000 one-minute drop size distributions, DSDs) to investigate the variability DSDs in Montreal, Quebec, Canada, area. The scale dependence (climatological scale, day day, within a between physical processes, process) DSD its effect rainfall intensity R estimation from radar reflectivity Z are explored terms bias random errors. Detail error distributions also provided. use climatological...
Normalization of drop size distributions (DSDs) is reexamined here. First, an extension the scaling normalization that uses one moment DSD as a parameter to more general two moments parameters presented. In addition, proposed formulation includes all two-parameter normalizations recently introduced in literature. Thus, unified vision question and good model representation DSDs are given. Data analysis some convective stratiform shows that, from point view compact DSDs, double-moment...
Abstract The Korea Meteorological Administration (KMA) implemented a 10-yr project to develop its own global model (GM) by 2020. To reflect the complex topography and unique weather characteristics of Korean Peninsula, high-resolution with accurate physics input data is required. WRF single-moment 6-class microphysics scheme (WSM6) double-moment (WDM6) that will be in GM (KGM) are evaluated. Comparisons contoured frequency altitude diagram (CFAD), time–height cross sections, vertical...
Abstract This study evaluates the performance of several cloud microphysics parameterizations in simulating surface precipitation for two snowstorm cases during International Collaborative Experiment held at PyeongChang 2018 Olympics and Winter Paralympic Games (ICE-POP 2018) field campaign. We compared four different schemes Weather Research Forecasting (WRF) Model, namely double-moment 6-class (WDM6), WRF single-moment (WSM6), Thompson Morrison parameterizations. Both WSM6 WDM6...
Abstract Accurate snowfall measurements are necessary for meteorology, hydrology, and climate research. Typical uses include creating calibrating gridded precipitation products, the verification of model simulations, driving hydrologic models, input into aircraft deicing processes, estimating streamflow runoff in spring. These applications significantly impacted by errors solid measurements. The recent WMO Solid Precipitation Intercomparison Experiment (SPICE) attempted to characterize...
Abstract Assessing changes in the distribution of biological communities that share a climate (biomes) is essential for estimating their vulnerability to change. We use CMIP6 models calculate biome as featuring classifications such Holdridge’s Life Zones (climate envelopes). found transitional zones between biomes (known ecotones) are expected decline under all change scenarios, but also model consensus remains low. Accurate assessments diversity loss limited certain areas globe, while still...
Abstract This paper explores the removal of normal ground echoes (GREs) and anomalous propagation (AP) in ground-based radars using a fuzzy logic approach. Membership functions their weights are derived from characteristics radar as function reflectivity. The dependence on echo intensity is shown to significantly improve proper identification GRE/AP. In addition, proposed method has better performance at lower elevation angles. overall comparable with that polarimetric approach can thus be...
Abstract Errors in surface rainfall estimates that are caused by ignoring the vertical profile of reflectivity (VPR) and range effects have been assessed simulating how fine-resolution 3D measurements at close ranges sampled radar various heights. Uncorrected corrected accumulations from 33 events mainly stratiform precipitation, with a recognizable melting layer for over 250 h, generated using two basic procedures: (a) “near range” or “inner” VPR (b) intensity-dependent “climatological”...
Trends in successful eradication of Helicobacter pylori using first-line triple therapy, consisting a proton pump inhibitor, amoxicillin, and clarithromycin, have been understudied. We evaluated H. rates at single center over the last 10 years identified risk factors related to failure.
Abstract This study uses high-resolution radar and surface observations to investigate the finescale structural evolution of airflow precipitation over complex terrain in Pyeongchang area, South Korea. The Taebaek Mountain range (TMR) runs parallel northeastern coast Korea, with a perpendicular ridge known as branch (PCB). objective this was identify mechanisms wintertime these topographic features during passage low pressure system (LPS) through southern Korean Peninsula. analysis indicates...
Abstract. Snowfall in the northeastern part of South Korea is result complex snowfall mechanisms due to a highly contrasting terrain combined with nearby warm waters and three synoptic pressure patterns. All these factors together create unique combinations, whose disentangling can provide new insights into microphysics snow on planet. This study focuses impact wind flow topography drawing 20 events during ICE-POP 2018 (International Collaborative Experiment for PyeongChang Olympic...
Abstract Disdrometric measurements are affected by the spurious variability due to drop sorting, small sampling volume, and instrumental noise. As a result, analysis methods that use least squares regression derive rainfall rate–radar reflectivity (R–Z) relationships or studies of size distributions can lead erroneous conclusions. This paper explores importance this develops new approach, referred as sequential intensity filtering technique (SIFT), minimizes effect on disdrometric data. A...
This article proposes and presents a novel approach to the characterization of winter precipitation modeling radar observables through synergistic use advanced optical disdrometers for microphysical geometrical measurements ice snow particles (in particular, multi-angle snowflake camera—MASC), image processing methodology, method-of-moments scattering computations, state-of-the-art polarimetric radars. The also describes newly built established MASCRAD (MASC + Radar) in-situ measurement...
This study investigates the ability of high-resolution Weather Research and Forecasting (WRF) model to simulate summer precipitation with assimilation X-band radar network data (X-Net) over Seoul metropolitan area. Numerical (DA) experiments X-Net (S- Doppler radar) radial velocity reflectivity for three events convective systems along Changma front are conducted. In addition conventional data, which focuses on assimilating echoes, this assimilates null-echoes analyzes effect null-echo...
Abstract In the summer of 2020, South Korea experienced record-breaking rainfall due to 15 consecutive heavy events (HREs) from mid-June early September. Among them, 11 HREs occurred in late June mid-August with distinct synoptic characteristics depending on occurrence period. All 29 27 July (P1) were triggered by extratropical cyclones, while those 28 August (P2) mainly along monsoon rainband. We argue that their transition is associated atmospheric teleconnections. During P1, western North...
Traditional radar-based rainfall estimation is typically done by known functional relationships between the intensity (R) and radar measurables, such as R–Zh, R–(Zh, ZDR), etc. One of biggest advantages machine learning algorithms applicability to a non-linear relationship dependent variable independent variables without any predefined relationships. We explored potential use two supervised methods (regression tree random forest) in using dual-polarization variables. The regression does not...
Abstract We present a comprehensive evaluation of the regional Model for Prediction Across Scales (rMPAS) in simulating heavy snowfall events during International Collaborative Experiment Pyeongchang Olympics and Paralympics field campaign Korean Peninsula. compared rMPAS simulations with those Weather Research Forecasting (WRF) model observational data three significant events, emphasizing on their performances capturing precipitation patterns synoptic environments. Both WRF models...
The turbulent energy dissipation rate (EDR) is a quantitative measure of turbulence intensity, and it widely used across various fields. Accurate estimation EDR using Doppler lidar depends on the choice technique scanning strategy. Therefore, comparison techniques still required to achieve an accurate estimation. However, effect accuracy remains uncertain. This study systematically evaluates by utilizing two distinct strategies: vertically pointing scan (EDRVP) Plan Position Indicator...
 Dual-polarimetric (dual-pol) radar variables, such as differential reflectivity (ZDR) and specific phase (KDP), provide valuable information about hydrometeor types, sizes, water content. A dual-pol operator that applies scattering calculations using the T-matrix method for rain Rayleigh approximation snow graupel can more accurately translate model variables into observed variables. Assimilating in numerical weather prediction models enhances forecast accuracy evolving mesoscale...
Abstract The WISSDOM (WInd Synthesis System using DOppler radar Measurements) was used to retrieve the fine-scale structural evolution of airflow and precipitation over complex terrain in Pyeongchang region, South Korea, during passage a low pressure system (LPS) winter. objective this study is investigate variability microphysical characteristics their relationships with orographically modified three-dimensional winds. MRR (Micro Rain Radar) laser-optical disdrometer PARSIVEL (PARticle SIze...
<title>Abstract</title> The probability distribution of small drops in the boundary between cloud droplets and raindrops are difficult to model specially moist environments. Current approaches make assumptions that often problematic, as they allow negative values for mean distribution. While statistical goodness fit those models might be reasonable precipitation radar estimation, situation is unsatisfactory if a fully consistent physical modeling across scales desired. This case weather...