Mr Youngil Kim

Mr Youngil Kim

Research Associate
  • Ph.D. in Civil and Environmental Engineering, University of New South Wales, 2023,
  • M.Sc. in Civil and Environmental Engineering, Seoul National University, 2018
Science
Centre of Excellence for Climate Extremes (CLEX)

Youngil Kim completed his PhD at the Water Research Centre (WRC) of UNSW. He is now affiliated with the ARC Centre of Excellence for Climate Extremes at the Climate Change Research Centre (CCRC) of UNSW. He worked on a multidisciplinary project titled “Comprehensive bias correction of regional climate model boundary conditions for simulation of hydrologic extremes” to understand the science of extreme events at the regional scale. He focuses on developing bias correction alternatives for a regional climate model, utilising state-of-the-art global data to produce accurate and physically consistent outputs across multiple time scales at a fine spatiotemporal scale. His primary research interests are bias correction alternatives, regional climate model (WRF), boundary conditions, hydrologic extremes, and GCM (CMIP6) downscaling for applications in Australasia and the Pacific region.

 

  • Journal articles | 2023
    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
    Journal articles | 2023
    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
    Journal articles | 2023
    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
    Journal articles | 2023
    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
    Journal articles | 2021
    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
    Journal articles | 2020
    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
    Journal articles | 2019
    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
    Journal articles | 2019
    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
    Journal articles | 2017
    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
    Journal articles | 2015
    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
    Journal articles | 2015
    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
    Journal articles | 2015
    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
    Journal articles | 2014
    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
    Journal articles | 2014
    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
    Journal articles | 2014
    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 | 2023
    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 | 2022
    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

UNSW Scientia Scholarship