By Mr Youngil Kim

Journal articles

Kim Y; Evans JP; Sharma A, 2024, 'Correcting Multivariate Biases in Regional Climate Model Boundaries: How Are Synoptic Systems Impacted Over the Australian Region?', Geophysical Research Letters, 51, http://dx.doi.org/10.1029/2024GL111445

Kim Y; Evans JP; Sharma A, 2023, 'Can Sub-Daily Multivariate Bias Correction of Regional Climate Model Boundary Conditions Improve Simulation of the Diurnal Precipitation Cycle?', Geophysical Research Letters, 50, http://dx.doi.org/10.1029/2023GL104442

Kim Y; Evans JP; Sharma A, 2023, 'A software for correcting systematic biases in RCM input boundary conditions', Environmental Modelling and Software, 168, http://dx.doi.org/10.1016/j.envsoft.2023.105799

Kim Y; Evans JP; Sharma A, 2023, 'Multivariate bias correction of regional climate model boundary conditions', Climate Dynamics, 61, pp. 3253 - 3269, http://dx.doi.org/10.1007/s00382-023-06718-6

Kim Y; Evans JP; Sharma A, 2023, 'Correcting biases in regional climate model boundary variables for improved simulation of high-impact compound events', iScience, 26, http://dx.doi.org/10.1016/j.isci.2023.107696

Kim Y; Evans JP; Sharma A; Rocheta E, 2021, 'Spatial, Temporal, and Multivariate Bias in Regional Climate Model Simulations', Geophysical Research Letters, 48, http://dx.doi.org/10.1029/2020GL092058

Kim Y; Rocheta E; Evans JP; Sharma A, 2020, 'Impact of bias correction of regional climate model boundary conditions on the simulation of precipitation extremes', Climate Dynamics, 55, pp. 3507 - 3526, http://dx.doi.org/10.1007/s00382-020-05462-5

Tegegne G; Kim YO; Seo SB; Kim Y, 2019, 'Hydrological modelling uncertainty analysis for different flow quantiles: a case study in two hydro-geographically different watersheds', Hydrological Sciences Journal, 64, pp. 473 - 489, http://dx.doi.org/10.1080/02626667.2019.1587562

Seo SB; Kim YO; Kim Y; Eum HI, 2019, 'Selecting climate change scenarios for regional hydrologic impact studies based on climate extremes indices', Climate Dynamics, 52, pp. 1595 - 1611, http://dx.doi.org/10.1007/s00382-018-4210-7

Tegegne G; Park DK; Kim Y; Kim YO, 2017, 'Selecting hydrologic modelling approaches for water resource assessment in the yongdam watershed', Journal of Hydrology New Zealand, 56, pp. 155 - 164

Jang D-H; Kim Y, 2015, 'Minimum Bias Design for Polynomial Regression', Korean Journal of Applied Statistics, 28, pp. 1227 - 1234, http://dx.doi.org/10.5351/kjas.2015.28.6.1227

Jang D-H; Kim Y, 2015, 'Robust Extrapolation Design Criteria under the Uncertainty of Model and Error Structure', Korean Journal of Applied Statistics, 28, pp. 561 - 571, http://dx.doi.org/10.5351/kjas.2015.28.3.561

Jang D-H; Kim Y, 2015, 'Two-Stage Experimental Design for Multiple Objectives', Korean Journal of Applied Statistics, 28, pp. 93 - 102, http://dx.doi.org/10.5351/kjas.2015.28.1.093

Kim Y; Jang D-H; Yi S, 2014, 'Some Examples of Constrained Optimal Experimental Design for Nonlinear Models', Korean Journal of Applied Statistics, 27, pp. 1151 - 1161, http://dx.doi.org/10.5351/kjas.2014.27.7.1151

Kim Y; Jang D-H; Yi S, 2014, 'The Maximin Robust Design for the Uncertainty of Parameters of Michaelis-Menten Model', Korean Journal of Applied Statistics, 27, pp. 1269 - 1278, http://dx.doi.org/10.5351/kjas.2014.27.7.1269

Kim Y; Jang D-H, 2014, 'Some Criteria for Optimal Experimental Design at Multiple Extrapolation Points', Korean Journal of Applied Statistics, 27, pp. 693 - 703, http://dx.doi.org/10.5351/kjas.2014.27.5.693

Preprints

Kim Y; Evans JP; Sharma A, 2024, Correcting Multivariate Biases in RCM Boundaries: How are Synoptic Systems impacted over the Australian Region?, http://dx.doi.org/10.22541/essoar.172191676.64331899/v1

Kim Y; Evans JP; Sharma A, 2023, Can sub-daily multivariate bias correction of regional climate model boundary conditions improve simulation of the diurnal precipitation cycle?, http://dx.doi.org/10.22541/essoar.168351202.25973894/v1

Other

Kim Y; Evans J; Sharma A, 2022, Impact of bias-corrected RCM lateral boundary conditions on precipitation extremes, http://dx.doi.org/10.5194/iahs2022-312

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