Document quand l'auteur est "Lee, Taesam"

Lee, Taesam ORCID: https://orcid.org/0000-0001-5110-5388 et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2023). Randomized Block Nonparametric Temporal Disaggregation of Hydrological Variables RB-NPD (version1.0) – model development. GMD . DOI: 10.5194/gmd-2022-274. (Soumis)

Lee, Taesam; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X et Seidou, Ousmane (2023). Characterizing and forecasting climate indices using time series models. Theoretical and Applied Climatology , vol. 152 . pp. 455-471. DOI: 10.21203/rs.3.rs-280240/v1.

Lee, Taesam ORCID: https://orcid.org/0000-0001-5110-5388 et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2023). Trends, Shifting, or Oscillations? Stochastic Modeling of Nonstationary Time Series for Future Water‐Related Risk Management. Earth's Future , vol. 11 , nº 7. e2022EF003049. DOI: 10.1029/2022EF003049.

Lee, Taesam et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2019). Multivariate Nonstationary Oscillation Simulation of Climate Indices with Empirical Mode Decomposition. Water Resources Research , vol. 55 , nº 6. pp. 5033-5052. DOI: 10.1029/2018WR023892.

Lee, Taesam et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2018). Conditional stochastic simulation model for spatial downscaling for assessing the effects of climate change on hydro-meteorological variables. Climatic Change , vol. 150 , nº 3-4. pp. 163-180. DOI: 10.1007/s10584-018-2276-1.

Lee, Taesam; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X et Yoon, Sunkwon (2017). KNN-based local linear regression for the analysis and simulation of low flow extremes under climatic influence. Climate Dynamics , vol. 49 , nº 9-10. pp. 3493-3511. DOI: 10.1007/s00382-017-3525-0.

Shin, Juyoung; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X et Lee, Taesam (2016). Heterogeneous mixture distributions for modeling wind speed, application to the UAE. Renewable Energy , vol. 91 . pp. 40-52. DOI: 10.1016/j.renene.2016.01.041.

Durocher, Martin; Lee, Taesam; Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X et Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 (2016). Hybrid signal detection approach for hydro-meteorological variables combining EMD and cross-wavelet analysis. International Journal of Climatology , vol. 36 , nº 4. pp. 1600-1613. DOI: 10.1002/joc.4444.

Lee, Taesam; Kwon, Hyunhan; Modarres, Reza; Kim, Sangdan et Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 (2016). Hydrological and Meteorological Extreme Events in Asia: Understanding, Modeling, Vulnerability, and Adaptation Measures. Advances in Meteorology , vol. 2016 . p. 1. DOI: 10.1155/2016/2325384.

Lee, Taesam; Ouarda, Taha B. M. J.; Chebana, Fateh et Park, Daeryong (2014). Evaluation of a Depth-Based Multivariate K-Nearest Neighbor Resampling Method with Stormwater Quality Data. Mathematical Problems in Engineering , vol. 2014 . p. 404198. DOI: 10.1155/2014/404198.

Kim, Byungsoo; Lee, Taesam et Ouarda, Taha B. M. J. (2014). Total least square method applied to rating curves. Hydrological Processes , vol. 28 , nº 13. pp. 4057-4066. DOI: 10.1002/hyp.9944.

Lee, Taesam; Modarres, Reza et Ouarda, Taha B. M. J. (2013). Data-based analysis of bivariate copula tail dependence for drought duration and severity. Hydrological Processes , vol. 27 , nº 10. pp. 1454-1463. DOI: 10.1002/hyp.9233.

Lee, Taesam; Ouarda, Taha B. M. J. et Jeong, Changsam (2012). Nonparametric multivariate weather generator and an extreme value theory for bandwidth selection. Journal of Hydrology , vol. 452-453 , nº July. pp. 161-171. DOI: 10.1016/j.jhydrol.2012.05.047.

Hammami, Dorra; Lee, Taesam; Ouarda, Taha B. M. J. et Lee, Jonghyun (2012). Predictor selection for downscaling GCM data with LASSO. Journal of Geophysical Research: Atmospheres , vol. 117 , nº D17. D17116. DOI: 10.1029/2012JD017864.

Lee, Taesam et Ouarda, Taha B. M. J. (2012). Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition. Water Resources Research , vol. 48 , nº 2. W02514. DOI: 10.1029/2011WR010660.

Lee, Taesam et Ouarda, Taha B. M. J. (2011). An EMD and PCA hybrid approach for separating noise from signal, and signal in climate change detection. International Journal of Climatology , vol. 32 , nº 4. pp. 624-634. DOI: 10.1002/joc.2299.

Lee, Taesam et Ouarda, Taha B. M. J. (2011). Identification of model order and number of neighbors for k-nearest neighbor resampling. Journal of Hydrology , vol. 404 , nº 3-4. pp. 136-145. DOI: 10.1016/j.jhydrol.2011.04.024.

Lee, Taesam et Ouarda, Taha B. M. J. (2011). Prediction of climate nonstationary oscillation processes with empirical mode decomposition. Journal of Geophysical Research , vol. 116 , nº D6. D06107. DOI: 10.1029/2010JD015142.

Lee, Taesam; Salas, Jose D. et Prairie, James (2010). An enhanced nonparametric streamflow disaggregation model with genetic algorithm. Water Resources Research , vol. 46 , nº 8. W08545. DOI: 10.1029/2009WR007761.

Lee, Taesam et Ouarda, Taha B. M. J. (2010). Long-term prediction of precipitation and hydrologic extremes with nonstationary oscillation processes. Journal of Geophysical Research , vol. 115 , nº D13. D13107. DOI: 10.1029/2009JD012801.