PUBLICATIONS

Note: The lab members' names are emphasized in bold, with the professor's name in black and the students' names in dark blue.

REFEREED ARTICLES

[46] Davy Jean Abella and Kuk-Hyun Ahn, 2025: "Understanding the 2023 compound dry hazard events across the Pan-Asian region", Environmental Research Letters, doi: 10.1088/1748-9326/ae08cf 

[45] Suhyun Yoo and Kuk-Hyun Ahn, 2025: “Exploring event-based calibration approaches for semi-distributed urban hydrologic models in data scarce urban watersheds under climate change”, Journal of Hydrology, doi: 10.1016/j.jhydrol.2025.133498

[44] Junho Kim and Kuk-Hyun Ahn, 2025: “Understanding the Influence of Hydrologic Parameter Uncertainty on Community Water Model Predictions: A Diagnostic Assessment through Extensive Ensemble Simulations”, Environmental Research Letters, doi: 10.1088/1748-9326/ add27e 

[43] Sunghyun Yoon and Kuk-Hyun Ahn, 2025: “Improved prediction of chlorophyll-a concentrations using advancing Graph Neural Network variants”, Science of the Total Environment, doi: 10.1016/j.scitotenv.2025.179481 

[42] Min Sothearith and Kuk-Hyun Ahn, 2025: “Projections and Uncertainty Decomposition in CMIP6 Models for Extreme Precipitation Scaling Rates”, Journal of Hydrology, doi: 10.1016/j.jhydrol.2025.133260 

[41] Gyu-Ho Noh and Kuk-Hyun Ahn, 2025: "Enhancing multiple precipitation data integration across a large-scale area: a deep learning ResU- Net framework without interpolation", IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2025.3538829

[40] Sunghyun Yoon and Kuk-Hyun Ahn, 2025: "Exploring the influence of training sampling strategies on time-series deep learning model in Hydrology", Journal of Hydrology, doi: 10.1016/j.jhydrol.2025.132774

[39] Victor Mikael de Padua and Kuk-Hyun Ahn, 2024: "Toward the reliable use of reanalysis data as a reference for bias correction in climate models: A multivariate perspective", Journal of Hydrology, doi: 10.1016/j.jhydrol.2024.132102

[38] Dong Gi Lee and Kuk-Hyun Ahn, 2024: "Improving medium-range streamflow forecasts over South Korea with a dual-encoder transformer model", Journal of Environmental Management, doi: 10.1016/j.jenvman.2024.122114

[37] Davy Jean Abella and Kuk-Hyun Ahn, 2024: "Investigating the spatial and temporal characteristics of compound dry hazard occurrences across the pan-Asian region", Weather and Climate Extremes, doi: 10.1016/j.wace.2024.100669 

[36] Sunghyun Yoon and Kuk-Hyun Ahn, 2024: "Self-training approach to improve the predictability of data-driven rainfall-runoff model in hydrological data-sparse regions", Journal of Hydrology, doi: 10.1016/j.jhydrol.2024.130862

[35] Angelika L. Alcantara and Kuk-Hyun Ahn, 2024: "Time-varying quadruple collocation for enhanced satellite and reanalysis precipitation data error estimation and integration", International Journal of Applied Earth Observation and Geoinformation, doi:10.1016/j.jag.2024.103692

[34] Suhyun Yoo and Kuk-Hyun Ahn, 2023: "Understanding extreme precipitation scaling with temperature: Insights from multi-spatiotemporal analysis in South Korea", Environmental Research Letters, doi: 10.1088/1748-9326/ad0afa.

[33] Kuk-Hyun Ahn, Victor Mikael de Padua, Junho Kim, and Jaeeung Yi, 2023: "Impact of Diverse Configuration in Multivariate Bias Correction Methods on Large-Scale Hydrological Modelling under Climate Change", Journal of Hydrology. 627, 130406,
        doi: 10.1016/j.jhydrol.2023.130406.

[32] Angelika L. Alcantara and Kuk-Hyun Ahn, 2023: "Estimation of tropical cyclone (TC) rainfall risk in South Korea using the integrated TC track and semi‐physical TC rainfall models", International Journal of Climatology, doi: 10.1002/joc.8001

[31] Sukwang Ji and Kuk-Hyun Ahn, 2023: "Temperature change-informed future multisite streamflow generation to support water supply vulnerability assessments under climate change". Journal of Hydrology, doi: 10.1016/j.jhydrol.2023.129928

[30] Dong Gi Lee and Kuk-Hyun Ahn, 2022: "Assessment of Suitable Gridded Climate Datasets for Large-Scale Hydrological Modelling over South Korea", Remote Sensing, doi: 10.3390/rs14153535

[29] Kuk-Hyun Ahn, 2022: "Atmospheric River activities and their effects on precipitation over South Korea", Journal of Hydrology, doi: 10.1016/j.jhydrol.2022.127886

[28] Kuk-Hyun Ahn, 2022: "Interannual variability of heat waves over the Korean Peninsula based on integrated approach", Science of The Total Environment, doi: 10.1016/j.scitotenv.2022.154153

[27] Gyu-Ho Noh and Kuk-Hyun Ahn, 2022: "Long-lead predictions of early winter precipitation over South Korea using a SST anomaly pattern in the North Atlantic Ocean", Climate Dynamics, 58(11), 3455–3469, doi: 10.1007/s00382-021-06109-9

[26] Gyu-Ho Noh and Kuk-Hyun Ahn, 2022: "New gridded rainfall dataset over the Korean peninsula: Gap infilling, reconstruction, and validation", International Journal of Climatology, 42(1), 435–452, doi: 10.1002/joc.7252

[25] Kuk-Hyun Ahn, 2021: "Streamflow estimation at partially gaged sites using multiple dependence conditions via vine copulas", Hydrology and Earth System Sciences, doi: 10.5194/hess-25-4319-2021

[24] Dong Gi Lee and Kuk-Hyun Ahn, 2021: "A stacking ensemble model for hydrological post-processing to improve streamflow forecasts at medium-range timescales over South Korea", Journal of Hydrology, doi: 10.1016/j.jhydrol.2021.126681

[23] Angelika L. Alcantara and Kuk-Hyun Ahn, 2021: "Future flood riverine risk analysis considering the heterogeneous impacts from tropical cyclone and non-tropical cyclone rainfalls: Application to daily flows in the Nam River Basin, South Korea", Advances in Water Resources, doi: 10.1016/j.advwatres.2021.103983

[22] Dong Gi Lee and Kuk-Hyun Ahn, 2020: "Accounting for zero flows in probabilistic distributed hydrological modeling for ephemeral catchment", Journal of Korea Water Resources, doi: 10.3741/JKWRA.2020.53.6.437

[21] Angelika L. Alcantara and Kuk-Hyun Ahn, 2020: "Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula", Water, doi: 10.3390/w12041214

[20] Kuk-Hyun Ahn, 2020: "A neural network ensemble approach with jittered basin characteristics for regionalized low flow frequency analysis", Journal of Hydrology, doi: 10.1016/j.jhydrol.2020.125501

[19] Kuk-Hyun Ahn, 2019: “Coupled annual and daily multivariate and multisite stochastic weather generator to preserve low- and high-frequency variability to assess climate vulnerability”, Journal of Hydrology, doi: 10.1016/j.jhydrol.2019.124443

[18] Kuk-Hyun Ahn and Scott Steinschneider, 2019: “Seasonal predictability and change of large-scale summer precipitation patterns over   the Northeast United States”, Journal of Hydrometeorology, doi: 10.1175/JHM-D-18-0252

[17] Kuk-Hyun Ahn and Scott Steinschneider, 2019: “Time‐varying, nonlinear suspended sediment rating curves to characterize trends in water quality: An application to the Upper Hudson and Mohawk Rivers, New York”, Hydrological Processes, doi: 10.1002/hyp.11402

[16] Kuk-Hyun Ahn and Scott Steinschneider, 2019: “A hierarchical Bayesian model for streamflow estimation at ungauged sites via spatial scaling in the Great Lakes basin”, Journal of Water Resources Planning and Management, doi: 10.1061/(ASCE)WR.1943-5452.0001091

[15] Kuk-Hyun Ahn and Young-Oh Kim, 2019: “Incorporating Climate Model Similarities and Hydrologic Uncertainty to Quantify Climate Change Impacts on Hydrologic Response”, Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.12.061

[14] Kuk-Hyun Ahn and Scott Steinschneider, 2018: “Time-varying sediment-discharge rating curves to estimate climate impacts on fluvial suspended sediment yield”, Hydrological Processes, doi: 10.1002/hyp.13443

[13] Kuk-Hyun Ahn, Brian Yellen, Scott Steinschneider, 2017: “Dynamic linear models to explore time-varying river suspended sediment rating curves”, Water Resources Research, doi: 10.1002/2017WR020381

[12] Gordon Clark, Kuk-Hyun Ahn, and Richard N. Palmer, 2017: “Assessing a regression-based regionalization approach to ungauged sites with various hydrologic models in a forested, northeastern US catchment”, Journal of Hydrologic Engineering, doi: 10.1061/(ASCE)HE.1943- 5584.0001582

[11] Kuk-Hyun Ahn and Scott Steinschneider, Richard N. Palmer, 2017: “A hierarchical Bayesian model for regionalized seasonal forecasts of low flows in the northeastern United States”, Water Resources Research, doi: 10.1002/2016WR019605

[10] Kuk-Hyun Ahn and Venkatesh Merwade, 2017: “The effect of land cover change on high and low flows with uncertainty”, Hydrological Processes, doi: 10.1002/hyp.10981

[09] Kuk-Hyun Ahn, Venkatesh Merwade, C.S.P. Ojha, and Richard N. Palmer, 2016: “Quantifying relative uncertainties in the detection and attribution of human-induced climate change on winter streamflow”, Journal of Hydrology, doi: 10.1016/j.jhydrol.2016.09.015

[08] Kuk-Hyun Ahn and Richard N. Palmer, 2016: “Regional flood frequency analysis using spatial proximity and basin characteristics: Quantile regression vs. parameter regression technique”, Journal of Hydrology, doi: 10.1016/j.jhydrol.2016.06.047

[07] Kuk-Hyun Ahn and Richard N. Palmer, 2016: “Use of a nonstationary copula to predict future Bivariate low flow frequency in the Connecticut river basin”, Hydrological Processes, doi: 10.1002/hyp.10876

[06] Kuk-Hyun Ahn and Venkatesh Merwade, 2016: "Closure to the role of watershed geomorphic characteristics on flooding in Indiana, United States", Journal of Hydrologic Engineering, doi: 10.1061/(ASCE)HE.1943-5584.0001417

[05] Kuk-Hyun Ahn and Richard N. Palmer, 2016: “Trend and variability in observed hydrological extremes in the United States”, Journal of Hydrologic Engineering, doi: 10.1061/(ASCE)HE.1943-5584.0001286

[04] Kuk-Hyun Ahn and Venkatesh Merwade, 2016: "The role of watershed geomorphic characteristics on flooding in Indiana, United States”, Journal of Hydrologic Engineering, doi: 10.1061/(ASCE)HE.1943-5584.0001289

[03] Kuk-Hyun Ahn and Venkatesh Merwade, 2016: "The role of watershed geomorphic characteristics on flooding in Indiana, United States”, Journal of Hydrologic Engineering, doi: 10.1061/(ASCE)HE.1943-5584.0001289

[02] Kuk-Hyun Ahn and Venkatesh Merwade, 2014: “Quantifying the relative impact of climate and human activities on streamflow”, Journal of Hydrology, 515, 257–266. doi: 10.1016/j.jhydrol.2014.04.062

[01] Kuk-Hyun Ahn, Young-Oh Kim, Sang Jin Ahn, 2012: "Manipulating large-scale qualitative meteorological information for drought outlook", Monthly Weather Review, 140, 3250–3258. doi: 10.1175/MWR-D-11-00146.1

CONFERENCE PRESENTATION AND POSTERS

[59] Charles Mari Ramos, Kuk-Hyun Ahn "Global Assessment of the Impacts of Compound Dry Hazard Combinations on Terrestrial Ecosystems", Smart Water Grid International Conference, Korea, September 2025

[58] Gyu-Ho Noh, Sung-Hyun Yoon, Kuk-Hyun Ahn "Deep Learning Model Development for Improving S2S Precipitation Forecasting: Combining Reanalysis, and Numerical Weather Prediction Information", Smart Water Grid International Conference, Korea, September 2025

[58] Su-Hyun Yoo, Kuk-Hyun Ahn "Flood Risk Assessment in Banpo Urban Watersheds Using a Coupled SWMM-LISFLOOD model", Smart Water Grid International Conference, Korea, September 2025

[58] Junho Kim, Kuk-Hyun Ahn "Future Projections and Uncertainty Assessment of Terrestrial Water Storage Using Large Ensemble Simulations with Global Hydrologic Models", Smart Water Grid International Conference, Korea, September 2025

[58] Hazel Olive Parmes, Angelika Alcantara, Kuk-Hyun Ahn "Storm Surge Enhancement from Rapidly Intensifying Tropical Cyclones: A Quasi- Global Assessment", Smart Water Grid International Conference, Korea, September 2025

[57] Su-Hyun Yoo, Kuk-Hyun Ahn "Flood Risk Assessment in Banpo Urban Watersheds using a Coupled SWMM-LISFLOOD model", Conference of Korean Society of Ecology and Infrastructure Engineering, July 2025

[56] Kenneth John E. Duhaylungsod, Kuk-Hyun Ahn “Assessing Drought Teleconnections: Global Drought, Patterns and Robust Clusters”, Conference of the Korean Water Resources Association, Korea, May 2025 (Presentation winner)

[55] Angelika L. Alcantara, Hazel Olive Parmes, Kuk-Hyun Ahn “Assessing Pre-Landfall Rapid Intensification of Northwestern Pacific Tropical Cyclones: Climatology, Projections, and Coastal Risks”, Conference of the Korean Water Resources Association, Korea, May 2025 (Presentation winner)

[54] Min Sothearith, Kuk-Hyun Ahn “Decomposing Uncertainty in Projected Changes in Extreme Precipitation: A Dynamic and Thermodynamic Perspective”, Conference of the Korean Water Resources Association, Korea, May 2025

[53] Davy Jean Abella, Kuk-Hyun Ahn “Assessing Historical Patterns of Cascading Dry Hazards: Compound Heatwave, Drought, and Fire Sequences”, Conference of the Korean Water Resources Association, Korea, May 2025

[52] Jinwook Huh, Suhyun Yoo, Dae-Rying Park, and Kuk-Hyun Ahn “Development and application of a coupled SWMM-LISFLID model for urban flood risk”, Conference of the Korean Water Resources Association, Korea, May 2025 (Presentation winner)

[51] Jun-Ho Kim, Kuk-Hyun Ahn “Assessment of terrestrial water storage uncertainty in future global climate change projections”, Conference of the Korean Water Resources Association, Korea, May 2025

[50] Gyu-Ho Noh, Sung-Hyun Yoon, Kuk-Hyun Ahn “Enhancing Precipitation Forecasting with Deep Learning: An Integrated Approach Using Data-Driven and NWP Information”, Conference of the Korean Water Resources Association, Korea, May 2025

[49] Dong Gi Lee, Sung Hyun Yoon, Kuk-Hyun Ahn “Development of the K-Dualformer model for medium-range streamflow forecasting in South Korea”, Conference of the Korean Water Resources Association, Korea, May 2025

[48] Angelika L. Alcantara, Kuk-Hyun Ahn “Impact of Thermodynamic and Dynamic Factors on Rapid Intensification and Rainfall in Tropical Cyclones: A Case Study of Super Typhoon Rai in the Philippines”, Smart Water Grid International Conference, Korea, September 2024 (Certificate of excellence awardee)

[47] Dong Gi Lee, Sung Hyun Yoon, Kuk-Hyun Ahn “A medium-range streamflow forecasting approach for the Northeastern United States using the CA-Dualformer model”, Smart Water Grid International Conference, Korea, September 2024

[46] Gyu-Ho Noh, Sung-Hyun Yoon, Kuk-Hyun Ahn "Merging Multi-Resolution Precipitation Data Using ResU-Net: Application and Performance Evaluation in the East Asia Region", Smart Water Grid International Conference, Korea, September 2024

[45] Angelika L. Alcantara, Gerry Bagtasa, Kuk-Hyun Ahn “Unraveling Extreme Rainfall Dynamics: A Case Study of Super Typhoon Rai in the Philippines”, Conference of the Korean Water Resources Association, Korea, May 2024

[44] Davy Jean Abella, Kuk-Hyun Ahn “Evaluation and Attribution of the 2023 Compound Heatwave, Drought, and Dry Air Occurrence over Asia”, Conference of the Korean Water Resources Association, Korea, May 2024

[43] Dong Gi Lee, Sung Hyun Yoon, Kuk-Hyun Ahn “Development of the CA-Dualformer model to improve medium-range streamflow forecasts in the Northeastern United States”, Conference of the Korean Water Resources Association, Korea, May 2024 

[42] Jun-Ho Kim, Kuk-Hyun Ahn "Assessment of terrestrial water storage simulations in Global hydrologic models", Conference of the Korean Water Resources Association, Korea, May 2024 

[41] Gyu-Ho Noh, Sung-Hyun Yoon, Kuk-Hyun Ahn "Exploring Machine Learning Models for Integrating Multi-Source Precipitation Data across Large Geographic Regions", Conference of the Korean Water Resources Association, Korea, May 2024 

[40] Sothearith Min, Kuk-Hyun Ahn "Decomposing Uncertainty in Extreme Precipitation Scaling Rates for Future Climate Projections", Conference of the Korean Water Resources Association, Korea, May 2024 (Presentation winner) 

[39] Su-Hyun Yoo, Dae-Rying Park, Kuk-Hyun Ahn "Quantifying the uncertainty created by model calibration configurations for urban hydrologic semi-distributed models", Conference of the Korean Water Resources Association, Korea, May 2024 

[38] Victor Mikael N. de Padua, Kuk-Hyun Ahn "A multivariate assessment of the suitability of reanalysis data as reference dataset for bias correction of General Circulation Models", Conference of the Korean Water Resources Association, Korea, May 2024 (Presentation winner)

[37] Dong Gi Lee, Sung Hyun Yoon, Kuk-Hyun Ahn “A double encoder-based transformer model for medium-range streamflow forecasting in South Korea”, AGU Fall Meeting, San Francisco, CA, USA, December 2023

[36] Angelika L. Alcantara, Kuk-Hyun Ahn “Time-Variant Quadruple Collocation for Enhanced Precipitation Error Estimation and Data Fusion”, AGU Fall Meeting, San Francisco, CA, USA, December 2023

[35] Gyu-Ho Noh, Sung Hyun Yoon, Kuk-Hyun Ahn “Addressing Challenges in Precipitation Data Merging: An Interpolation-Free Method Applied to the Asian Precipitation Dataset”, AGU Fall Meeting, San Francisco, CA, USA, December 2023

[34] Victor Mikael de Padua, Kuk-Hyun Ahn “Is it appropriate to use raw reanalysis datasets as reference in multivariate bias correction of General Circulation Models?”, AGU Fall Meeting, San Francisco, CA, USA, December 2023

[33] Gyu-Ho Noh, Kuk-Hyun Ahn “Interpolation-Free Data Merging Model: A Case Study with Multi-Resolution Grid Precipitation Data in East Asia Region", Conference of the Korean Smart Water Grid, Korea, November 2023

[32] Victor Mikael de Padua, Kuk-Hyun Ahn “Assessing the Effect of Using Raw Reanalysis Data as Reference Dataset in Multivariate Bias Correction of General Circulation Models", Conference of the Korean Smart Water Grid, Korea, November 2023 (Presentation winner)

[31] Dong Gi Lee, Kuk-Hyun Ahn “Development of a double encoder-based transformer model to forecasts medium-range streamflow in South Korea", Conference of the Korean Smart Water Grid, Korea, November 2023

[30] Angelika L. Alcantara, Kuk-Hyun Ahn “Enhancing Precipitation Error Estimation and Data Fusion with Time-Variant Quadruple Collocation", Conference of the Korean Smart Water Grid, Korea, November 2023

[29] Dong Gi Lee, Kuk-Hyun Ahn “A medium-range streamflow forecasting approach over South Korea using Double-encoder-based transformer model", Conference of the Korean Water Resources Association, Korea, May 2023 (Presentation winner)

[28] Gyu-Ho Noh, Kuk-Hyun Ahn “Merging of multiple resolution-based precipitation data using super resolution convolution neural network", Conference of the Korean Water Resources Association, Korea, May 2023 (Presentation winner)

[27] Angelika L. Alcantara, Kuk-Hyun Ahn “Site-Specific Error-Cross Correlation-Informed Quadruple Collocation Approach for Improved Global Precipitation Estimates", Conference of the Korean Water Resources Association, Korea, May 2023

[26] Victor Mikael de Padua, Kuk-Hyun Ahn “Impact of Diverse Configuration in Multivariate Bias Correction Methods on Large-Scale Climate Variable Simulations under Climate Change", Conference of the Korean Water Resources Association, Korea, May 2023 (Presentation winner)

[25] Junho Kim, Kuk-Hyun Ahn “Assessment of streamflow simulation for large-scale grid-based modeling using the VIC model”, Conference of the Korean Water Resources Association, Korea, May 2023 

[24] Davy Abella, Kuk-Hyun Ahn “Multivariate assessment of the occurrence of compound dry hazards at the pan-Asian region”, Conference of the Korean Water Resources Association, Korea, May 2023

[23] Kuk-Hyun Ahn “A Delta- and Attention-based Long Short-Term Memory (LSTM)　Architecture model for Rainfall-runoff Modeling”, Conference of the Korean Water Resources Association, Korea, May 2022 (Presentation winner)

[22] Angelika L. Alcantara, Kuk-Hyun Ahn “Application of a Semi-Physical Tropical Cyclone Rainfall Model in South Korea to Estimate Tropical Cyclone Rainfall Risk”, Conference of the Korean Water Resources Association, Korea, May 2022 (Presentation winner)

[21] Sukwang Ji, Kuk-Hyun Ahn “Proposal of Augmented Drought Inflow to Search Reliable Operational Policies for Water Supply Infrastructures”, Conference of the Korean Water Resources Association, Korea, May 2022

[20] Angelika L. Alcantara, Kuk-Hyun Ahn “Future flood frequency analysis from the heterogeneous impacts of Tropical Cyclone and non- Tropical Cyclone rainfalls in the Nam River Basin, South Korea”, Conference of the Korean Water Resources Association, Korea, June 2021

[19] Sukwang Ji, Kuk-Hyun Ahn “Stochastic Simulation for Reservoir Inflows to Improve Drought Mitigation Policies of Water Supply Infrastructures”, Conference of the Korean Water Resources Association, Korea, June 2021

[18] Dong Gi Lee, Kuk-Hyun Ahn “A stacking ensemble model to improve streamflow forecasts at medium range forecasts through hydrological regionalization over South Korea”, Conference of the Korean Water Resources Association, Korea, June 2021

[17] Gyu-Ho Noh, Kuk-Hyun Ahn “Exploring Long-range-based predictive ability of early winter for water management of the dry season over the Korean Peninsula”, Conference of the Korean Water Resources Association, Korea, June 2021 (Presentation winner)

[16] Kuk-Hyun Ahn “A Jittering-based Neural Network Ensemble Approach for Regionalized Low-flow Frequency Analysis”, Conference of the Korean Water Resources Association, Korea, June 2020

[15] Angelika L. Alcantara, Kuk-Hyun Ahn “Flood frequency analysis with the consideration of the heterogeneous impacts from TC and non-TC rainfalls: application to daily flows in the Nam River Basin, South Korea”, Conference of the Korean Water Resources Association, Korea, June 2020

[14] Gyu-Ho Noh, Kuk-Hyun Ahn “Estimation of Missing Records in Daily Climate Data over the Korean Peninsula”, Conference of the Korean Water Resources Association, Korea, June 2020

[13] Kuk-Hyun Ahn “Temporal variation of the western Pacific subtropical high western ridge and its implication to South Korean precipitation in late summer”, Korea Water Resources Association Annual Conference 2019, Korea, May 2019

[12] Kuk-Hyun Ahn “Characterization of Summertime Drought in the Northeast United States”, Korean Society of Civil Engineers Annual Conference 2018, Korea, October 2018

[11] Kuk-Hyun Ahn “Incorporating climate model similarities and hydrologic uncertainty to quantify future streamflow projections”, Korean Society of Climate Change Research Annual Conference 2018, Korea, June 2018

[10] Kuk-Hyun Ahn “A hierarchical Bayesian model for spatial scaling method: Application to streamflow in the Great Lakes basin”, Korea Water Resources Association Annual Conference 2018, Korea, May 2018

[09] Kuk-Hyun Ahn, Scott Steinschneider “Dynamic rating curves for estimating time-varying sediment loads”, World Environmental and Water Resources Congress 2017, U.S.A, May 2017

[08] Kuk-Hyun Ahn, Scott Steinschneider “Expanded dynamic rating curves to estimate time-varying sediment loads using information from adjacent basins”, 9th Annual BEE Research Symposium 2017, Cornell University, U.S.A, March 2017

[07] Kuk-Hyun Ahn, Richard Palmer “Regional flood frequency analysis using spatial proximity and basin characteristics”, World Environmental and Water Resources Congress 2016, U.S.A, May 2016

[06] Gordon Clark, Kuk-Hyun Ahn, Richard Palmer “A regional hydrologic vulnerability assessment protocol for road-stream crossings”, World Environmental and Water Resources Congress 2016, U.S.A, May 2016

[05] Kuk-Hyun Ahn, Venkatesh Merwade, C.S.P. Ojha “Detection and attribution of temperature changes in the Continental United States”, AGU Fall Meeting, San Francisco, CA, USA, December 2013, Abstract GC51A-0951

[04] Kuk-Hyun Ahn, Venkatesh Merwade “Quantifying the relative impacts from climate variables and land use on streamflow”, AGU Fall Meeting, San Francisco, CA, USA, December 2012, Abstract H51E-1396

[03] Kuk-Hyun Ahn, D.H. Song, Y.O. Kim “Assessment of dam operations for a severe drought in Korea”, World Environmental and Water Resources Congress 2010, U.S.A, May 2010

[02] Kuk-Hyun Ahn, Y.O. Kim “A study on the development and forecasting of drought Indices”, Conference of the Korean Water Resources Association, Korea, May 2010

[01] Kuk-Hyun Ahn, Y.O. Kim, K.T. Lee “Analysis of drought severity for Nakdonggang basin using soil moisture index” The Korean Society of Civil Engineering, Korea, October 2009