Jong‐Suk Kim
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View article: Improving Typhoon-Induced Rainfall Forecasts Based on Similar Typhoon Tracks
Improving Typhoon-Induced Rainfall Forecasts Based on Similar Typhoon Tracks Open
Typhoons pose severe threats to coastal regions through destructive winds and extreme rainfall, with rainfall-induced flooding often causing more casualties and economic damage than wind damage alone. Accurate precipitation forecasting is …
View article: Optimizing typhoon-induced accumulated rainfall prediction through track similarity and meteorological properties
Optimizing typhoon-induced accumulated rainfall prediction through track similarity and meteorological properties Open
Typhoons, accompanied by strong winds and heavy rainfall, are among the most devastating natural disasters, causing significant loss of life and property damage. To prepare for disaster situations caused by typhoons, predicting Typhoon-ind…
View article: Optimizing urban flood management: enhancing urban drainage system efficiency under extreme rainfall events
Optimizing urban flood management: enhancing urban drainage system efficiency under extreme rainfall events Open
Extreme rainfall events, particularly those induced by tropical cyclones, pose a heightened risk to the urban drainage system (UDS). Existing UDSs, having been established long ago, often fail to account for the extreme rainfall caused by …
View article: StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models Open
Finding appropriate prompts for the specific task has become an important issue as the usage of Large Language Models (LLM) has expanded. Reinforcement Learning (RL) is widely used for prompt tuning, but its inherent instability and enviro…
View article: Quantification of interactions among agricultural drought indices within Köppen–Geiger climate zones in Bangladesh
Quantification of interactions among agricultural drought indices within Köppen–Geiger climate zones in Bangladesh Open
Agricultural productivity is highly correlated with climatic variations, including drought events. This study is aimed at performing a comprehensive assessment of agricultural drought conditions in the Köppen–Geiger climate zones in Bangla…
View article: AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning
AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning Open
In recent years, advancements in representation learning and language models have propelled Automated Captioning (AC) to new heights, enabling the generation of human-level descriptions. Leveraging these advancements, we propose AVCap, an …
View article: A Study on the Effectiveness of Lessons to Improve Critical Thinking Ability in University Students
A Study on the Effectiveness of Lessons to Improve Critical Thinking Ability in University Students Open
This study analyzes the effects of lessons on critical thinking-related subjects operated in basic liberal arts and major subjects and seeks ways to improve critical thinking skills. The research design is a mixture of pretest-posttest and…
View article: Assessing future urban flood hazard: A comprehensive approach to estimating the implications of future rainfall scenarios
Assessing future urban flood hazard: A comprehensive approach to estimating the implications of future rainfall scenarios Open
Estimating potential changes in future flood patterns based on anticipated changes in hydrological characteristics within the basin is crucial for mitigating flood damage and managing flood risk. In this study, nonparametric probability mo…
View article: EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning Open
Recent advancements in self-supervised audio-visual representation learning have demonstrated its potential to capture rich and comprehensive representations. However, despite the advantages of data augmentation verified in many learning m…
View article: Evaluation and securing of ecological flow by linking fish growth scenarios and basin water budget analysis
Evaluation and securing of ecological flow by linking fish growth scenarios and basin water budget analysis Open
Maintaining ecological flow is crucial for preserving healthy aquatic ecosystems. This study presents a novel approach to assess and secure ecological flow by linking fish growth scenarios with water budget analysis. Addressing the challen…
View article: Assessing the Impact of Human-Induced and Climate Change-Driven Streamflow Alterations on Freshwater Ecosystems
Assessing the Impact of Human-Induced and Climate Change-Driven Streamflow Alterations on Freshwater Ecosystems Open
Streamflow is critical and master variable for maintaining healthy and restorative processes in freshwater ecosystems. However, human-induced dam construction and climate change have significantly altered the flow regime and disrupted hydr…
View article: Enhanced Prediction and Determination of Hydrological Drought at Ungauged River Intake Stations under Changing Climate
Enhanced Prediction and Determination of Hydrological Drought at Ungauged River Intake Stations under Changing Climate Open
Droughts, which are expected to worsen under global climate change, have major impacts on human life and the natural environment. In this study, an analysis system was established for predicting and determining hydrological drought conditi…
View article: Development and Validation of Creative and Critical Thinking Competency Diagnostic Scale Using Item Response Theory
Development and Validation of Creative and Critical Thinking Competency Diagnostic Scale Using Item Response Theory Open
The purpose of this study is to develop and validate a diagnostic scale in the form of a written test from which creative and critical thinking (two key competencies at university) can be objectively measured.The research method consisted …
View article: UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training Open
Pre-training vision-language models with contrastive objectives has shown promising results that are both scalable to large uncurated datasets and transferable to many downstream applications. Some following works have targeted to improve …
View article: OneMap Drought Monitoring Analysis Based on Statistical Models
OneMap Drought Monitoring Analysis Based on Statistical Models Open
As the effects of droughts on agriculture and industrial water availability intensify with climate change, developing suitable drought prevention and mitigation measures has become increasingly important. However, measuring drought conditi…
View article: Regional Analysis of Hotspot and Coldspot Areas Undergoing Nonstationary Drought Characteristics in a Changing Climate
Regional Analysis of Hotspot and Coldspot Areas Undergoing Nonstationary Drought Characteristics in a Changing Climate Open
Conventional drought indices based on stationary assumptions are no longer appropriate for drought assessments conducted under conditions with climate change or anthropogenic influences. In this study, a time-varying Nonstationary Standard…
View article: Appraisal of Water Security in Asia: The Pentagonal Framework for Efficient Water Resource Management
Appraisal of Water Security in Asia: The Pentagonal Framework for Efficient Water Resource Management Open
Swathes of global water challenges, such as water shortages, water pollution, water-related disasters, and degradation of water environments, have seriously threatened human development. The discussion of water security or insecurity has b…
View article: Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems
Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems Open
This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide …
View article: Remote Sensing of Hydro-Meteorology
Remote Sensing of Hydro-Meteorology Open
Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and predi…
View article: Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations
Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations Open
Meteorological to hydrological drought propagation has been widely studied to reflect the relationship between these drought categories and better understand drought mechanisms. However, global warming may alter the drought propagation fea…
View article: Environmental Disasters and Individuals’ Emergency Preparedness:
Environmental Disasters and Individuals’ Emergency Preparedness: Open
Environmental disasters are becoming more frequent. These disasters not only include the most common natural disasters, but also include man-made disasters, such as public health, accident disasters, etc., which have caused greater damage …
View article: Exploring and Predicting the Individual, Combined, and Synergistic Impact of Land-Use Change and Climate Change on Streamflow, Sediment, and Total Phosphorus Loads
Exploring and Predicting the Individual, Combined, and Synergistic Impact of Land-Use Change and Climate Change on Streamflow, Sediment, and Total Phosphorus Loads Open
The present study predicts and assesses the individual, combined, and synergistic effect of land-use change and climate change on streamflow, sediment, and total phosphorus (TP) loads under the present and future scenarios by using the Soi…
View article: Copula-Based Drought Monitoring and Assessment According to Zonal and Meridional Temperature Gradients
Copula-Based Drought Monitoring and Assessment According to Zonal and Meridional Temperature Gradients Open
Drought is one of the most severe natural disasters. However, many of its characteristic variables have complex nonlinear relationships. Therefore, it is difficult to construct effective drought assessment models. In this study, we analyze…
View article: A Downscaling–Merging Scheme for Improving Daily Spatial Precipitation Estimates Based on Random Forest and Cokriging
A Downscaling–Merging Scheme for Improving Daily Spatial Precipitation Estimates Based on Random Forest and Cokriging Open
High-spatial-resolution precipitation data are of great significance in many applications, such as ecology, hydrology, and meteorology. Acquiring high-precision and high-resolution precipitation data in a large area is still a great challe…