| Data‐based analysis of bivariate copula tail dependence for drought duration and severity T Lee, R Modarres, TBMJ Ouarda Hydrological Processes 27 (10), 1454-1463, 2013 | 159 | 2013 |
| Employing machine learning algorithms for streamflow prediction: a case study of four river basins with different climatic zones in the United States P Parisouj, H Mohebzadeh, T Lee Water Resources Management 34 (13), 4113-4131, 2020 | 124 | 2020 |
| Copula-based stochastic simulation of hydrological data applied to Nile River flows T Lee, JD Salas Hydrology Research 42 (4), 318-330, 2011 | 102 | 2011 |
| Long‐term prediction of precipitation and hydrologic extremes with nonstationary oscillation processes T Lee, TBMJ Ouarda Journal of Geophysical Research: Atmospheres 115 (D13), 2010 | 95 | 2010 |
| Predictor selection for downscaling GCM data with LASSO D Hammami, TS Lee, TBMJ Ouarda, J Lee Journal of Geophysical Research: Atmospheres 117 (D17), 2012 | 88 | 2012 |
| Prediction of climate nonstationary oscillation processes with empirical mode decomposition T Lee, TBMJ Ouarda Journal of Geophysical Research: Atmospheres 116 (D6), 2011 | 88 | 2011 |
| Heterogeneous mixture distributions for modeling wind speed, application to the UAE JY Shin, TBMJ Ouarda, T Lee Renewable Energy 91, 40-52, 2016 | 77 | 2016 |
| An enhanced nonparametric streamflow disaggregation model with genetic algorithm T Lee, JD Salas, J Prairie Water Resources Research 46 (8), 2010 | 77 | 2010 |
| Nonparametric statistical temporal downscaling of daily precipitation to hourly precipitation and implications for climate change scenarios T Lee, C Jeong Journal of Hydrology 510, 182-196, 2014 | 74 | 2014 |
| Nonparametric simulation of single-site seasonal streamflows JD Salas, T Lee Journal of Hydrologic Engineering 15 (4), 284-296, 2010 | 74 | 2010 |
| Deep learning-based maximum temperature forecasting assisted with meta-learning for hyperparameter optimization T Thi Kieu Tran, T Lee, JY Shin, JS Kim, M Kamruzzaman Atmosphere 11 (5), 487, 2020 | 68 | 2020 |
| Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition T Lee, TBMJ Ouarda Water Resources Research 48 (2), 2012 | 56 | 2012 |
| Stochastic simulation on reproducing long-term memory of hydroclimatological variables using deep learning model T Lee, JY Shin, JS Kim, VP Singh Journal of Hydrology 582, 124540, 2020 | 53 | 2020 |
| EMD and LSTM hybrid deep learning model for predicting sunspot number time series with a cyclic pattern T Lee Solar Physics 295 (6), 82, 2020 | 50 | 2020 |
| Statistical downscaling for hydrological and environmental applications T Lee, VP Singh CRC press, 2018 | 42 | 2018 |
| Meta-heuristic maximum likelihood parameter estimation of the mixture normal distribution for hydro-meteorological variables JY Shin, JH Heo, C Jeong, T Lee Stochastic environmental research and risk assessment 28, 347-358, 2014 | 37 | 2014 |
| Increasing neurons or deepening layers in forecasting maximum temperature time series? TTK Tran, T Lee, JS Kim Atmosphere 11 (10), 1072, 2020 | 36 | 2020 |
| Nonparametric multivariate weather generator and an extreme value theory for bandwidth selection T Lee, TBMJ Ouarda, C Jeong Journal of hydrology 452, 161-171, 2012 | 35 | 2012 |
| Integrating nonstationary behaviors of typhoon and non-typhoon extreme rainfall events in East Asia C Son, T Lee, H Kwon Scientific reports 7 (1), 5097, 2017 | 33 | 2017 |
| Copula-based modeling and stochastic simulation of seasonal intermittent streamflows for arid regions C Jeong, T Lee Journal of Hydro-Environment Research 9 (4), 604-613, 2015 | 33 | 2015 |
