Hyun‐Han Kwon
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View article: Enhancing 1-month temperature predictions in South Korea through dynamical downscaling of machine learning global ensemble forecasts
Enhancing 1-month temperature predictions in South Korea through dynamical downscaling of machine learning global ensemble forecasts Open
Despite the growing availability of global ensemble forecasts, their application at regional scales remains challenging due to the coarse spatial resolution. Meanwhile, machine learning (ML)-based forecasts are emerging as promising altern…
View article: Effect of Chromium Adhesion Layer Thickness on Contact Resistance and Schottky Barrier Characteristics in WSe2 Field-Effect Transistor
Effect of Chromium Adhesion Layer Thickness on Contact Resistance and Schottky Barrier Characteristics in WSe2 Field-Effect Transistor Open
While metal adhesion layers are commonly used in the fabrication of field–effect transistors (FETs) based on two-dimensional (2D) materials, the impact of adhesion layer thickness on device performance remains insufficiently explored. In t…
View article: Spatiotemporal assessment and trend analysis of meteorological drought in Afghanistan (1974–2023) using SPI and SPEI indices
Spatiotemporal assessment and trend analysis of meteorological drought in Afghanistan (1974–2023) using SPI and SPEI indices Open
View article: Alignment Between Standards-Based Assessment and the Five- and Nine-Level Relative Grading Systems: Empirical and Simulated Data Analysis
Alignment Between Standards-Based Assessment and the Five- and Nine-Level Relative Grading Systems: Empirical and Simulated Data Analysis Open
View article: Spatiotemporal vegetation dynamics in South Asia (2001-2023): roles of climate and anthropogenic activities
Spatiotemporal vegetation dynamics in South Asia (2001-2023): roles of climate and anthropogenic activities Open
Vegetation maintains ecological balance, supports biodiversity, and influences regional climate patterns. This study evaluated vegetation changes across South Asia (2001–2023) using NDVI data from MODIS satellites. Climatic and anthropogen…
View article: Remote sensing-based spatiotemporal assessment of agricultural drought and its impact on crop yields in Punjab, Pakistan
Remote sensing-based spatiotemporal assessment of agricultural drought and its impact on crop yields in Punjab, Pakistan Open
Long-term meteorological droughts disrupt hydrological balances and lead to agricultural droughts that affect crop yield. This study uses remote sensing techniques to analyze agricultural droughts in Punjab, Pakistan, over two decades. Fro…
View article: Multimodal deep learning for chemical toxicity prediction and management
Multimodal deep learning for chemical toxicity prediction and management Open
The accurate prediction of chemical toxicity is a crucial research focus in chemistry, biotechnology, and national defense. The development of comprehensive datasets for chemical toxicity prediction remains limited due to security constrai…
View article: Introducing a Novel Standardized Precipitation Evaporation Differential Index (SPEDI) for Improved Flash Drought Detection and Assessment: A Case Study in South Korea
Introducing a Novel Standardized Precipitation Evaporation Differential Index (SPEDI) for Improved Flash Drought Detection and Assessment: A Case Study in South Korea Open
This study introduces the Standardized Precipitation Evaporation Differential Index (SPEDI), a new composite drought index designed to better capture flash drought conditions by accounting for both precipitation deficits and evaporative de…
View article: Impacts of climate change on the South Asian monsoon: A comprehensive review of its variability and future projections
Impacts of climate change on the South Asian monsoon: A comprehensive review of its variability and future projections Open
View article: Wildfire risk in a changing climate: Evaluating fire weather indices and their global patterns with CMIP6 multi-model projections
Wildfire risk in a changing climate: Evaluating fire weather indices and their global patterns with CMIP6 multi-model projections Open
This study investigates potential wildfire risks across different global warming scenarios through a comparative analysis of two prominent fire weather indices: the McArthur Forest Fire Danger Index (FFDI) and the Canadian Forest Fire Dang…
View article: Ebastine-mediated destabilization of E3 ligase MKRN1 protects against metabolic dysfunction-associated steatohepatitis
Ebastine-mediated destabilization of E3 ligase MKRN1 protects against metabolic dysfunction-associated steatohepatitis Open
View article: Drought impact, vulnerability, risk assessment, management and mitigation under climate change: A comprehensive review
Drought impact, vulnerability, risk assessment, management and mitigation under climate change: A comprehensive review Open
View article: MedG-KRP: Medical Graph Knowledge Representation Probing
MedG-KRP: Medical Graph Knowledge Representation Probing Open
Large language models (LLMs) have recently emerged as powerful tools, finding many medical applications. LLMs' ability to coalesce vast amounts of information from many sources to generate a response-a process similar to that of a human ex…
View article: Exosome-membrane and polymer-based hybrid-complex for systemic delivery of plasmid DNA into brains for the treatment of glioblastoma
Exosome-membrane and polymer-based hybrid-complex for systemic delivery of plasmid DNA into brains for the treatment of glioblastoma Open
View article: A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins
A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins Open
Study region: The transboundary Imjin River basin, Korea. Study focus: The primary aim is to propose and validate a novel framework for assessing the uncertainty in hydrological models, particularly rainfall–runoff models (RRMs), consideri…
View article: TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting
TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting Open
Multivariate time series (MTS) forecasting is vital across various domains but remains challenging due to the need to simultaneously model temporal and inter-variate dependencies. Existing channel-dependent models, where Transformer-based …
View article: Free Ammonia Strategy for Nitrite-Oxidizing Bacteria (NOB) Suppression in Mainstream Nitritation Start-Up
Free Ammonia Strategy for Nitrite-Oxidizing Bacteria (NOB) Suppression in Mainstream Nitritation Start-Up Open
The partial nitritation (PN)–anammox (PN/A) process offers a sustainable alternative to nitrogen management in wastewater treatment, addressing the high costs and increasing the low eco-friendliness associated with traditional nitrificatio…
View article: Regional characterization of meteorological and agricultural drought in Baluchistan province, Pakistan
Regional characterization of meteorological and agricultural drought in Baluchistan province, Pakistan Open
Drought is a complex natural hazard that occurs when a region experiences a prolonged period of dry conditions, leading to water scarcity and negative impacts on the environment. This study analyzed the recurrence of drought and wet spells…
View article: Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness
Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness Open
Due to the rapidly changing climate conditions, precipitation nowcasting poses a daunting challenge because it is impossible to make accurate short-term forecasts due to the rapid fluctuations in weather conditions. There are limitations t…
View article: A novel approach to a multi-model ensemble for climate change models: Perspectives on the representation of natural variability and historical and future climate
A novel approach to a multi-model ensemble for climate change models: Perspectives on the representation of natural variability and historical and future climate Open
This study developed a novel approach that integrated climate model selection and multi-model ensemble (MME) construction to effectively represent model uncertainties and, consequently, improve consistency in the evaluation of changes to e…
View article: Airborne transboundary microplastics–A Swirl around the globe
Airborne transboundary microplastics–A Swirl around the globe Open
Microplastics are persistent pollutants discovered and extensively researched in marine, freshwater, and terrestrial ecosystems but have yet to receive attention in an atmospheric context. Although recent reports stated the presence of mic…
View article: Changes in Hot and Dry Extremes Based on Convection-Permitting Projections Under the SSP5-8.5 Scenario
Changes in Hot and Dry Extremes Based on Convection-Permitting Projections Under the SSP5-8.5 Scenario Open
Accelerated global warming is expected to increase the severity and frequency of concurrent extremes, which can have negative impacts that often extend beyond those of a single event.Southeastern China has witnessed an increased occurrence…
View article: Spatial Pattern of Bias in Areal Rainfall Estimations and Its Impact on Hydrological Modeling: A Comparative Analysis of Estimating Areal Rainfall Based on Radar and Weather Station Networks in South Korea
Spatial Pattern of Bias in Areal Rainfall Estimations and Its Impact on Hydrological Modeling: A Comparative Analysis of Estimating Areal Rainfall Based on Radar and Weather Station Networks in South Korea Open
Areal rainfall is routinely estimated based on the observed rainfall data using distributed point rainfall gauges. However, the data collected are sparse and cannot represent the continuous rainfall distribution (or field) over a large wat…
View article: Decadal predictions of temperature, precipitation and streamflow considering their covariability
Decadal predictions of temperature, precipitation and streamflow considering their covariability Open
The significance of decadal predictions of climate for successful adaptation is now well understood. The focus is quickly shifting from end of 21st century predictions to decadal predictions, given that they should be much better constrain…
View article: Changes in concurrent hot and dry extremes based on convection-permitting projections under the SSP5-8.5 scenario
Changes in concurrent hot and dry extremes based on convection-permitting projections under the SSP5-8.5 scenario Open
Accelerated global warming is anticipated to intensify the frequency and severity of concurrent extremes, leading to negative impacts that surpass those of individual extreme events. Southeastern China has experienced a rise in the occurre…
View article: A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning
A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning Open
Wheat is one of the most extensively cultivated crops worldwide that contributes significantly to global food caloric and protein production and is grown on millions of hectares yearly. However, diseases like brown rust, septoria, yellow r…
View article: Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique
Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique Open
Wildfires are crucial to the ecosystem health, yet wildfires also pose a grave threat to human lives and the environment. Early detection remains challenging, especially in remote areas. Satellite data and autonomous aerial vehicles (AAVs)…
View article: Impact of Anthropogenic Warming on Future Unprecedented Droughts in California: Insights From Multiple Indices and Multi‐Model Projections
Impact of Anthropogenic Warming on Future Unprecedented Droughts in California: Insights From Multiple Indices and Multi‐Model Projections Open
So‐called hot droughts are seen as one of the very foreseeable extremes amid the faster‐than‐expected pace of global warming. In particular, the western part of North America has been pummeled by severe droughts due to a lack of precipitat…
View article: Balancing long-term enriched partial denitrifying bacteria and anammox bacteria for carbon-neutral mainstream nitrogen removal
Balancing long-term enriched partial denitrifying bacteria and anammox bacteria for carbon-neutral mainstream nitrogen removal Open
Anaerobic ammonium oxidation (anammox)-based process has become a method for achieving carbon-neutral wastewater treatment. However, in mainstream wastewater with a low-strength ammonium, obtaining partial nitritation (PN) for the anammox …
View article: Loss Minimization and Voltage Stability With Optimum Frequency Determination of LF-HVac Lines Based on Wind-Hydro-Gas Turbine Unit
Loss Minimization and Voltage Stability With Optimum Frequency Determination of LF-HVac Lines Based on Wind-Hydro-Gas Turbine Unit Open
This study addresses the loss minimization and voltage stability analysis for low-frequency transmission lines connected to wind farms, pumped storage Hydropower (PSH) and Gas Turbine plant. The losses and the voltage stability index conne…