Published research

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A new research is in progress

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Correcting Multivariate Biases in Regional Climate Model
Boundaries: How Are Synoptic Systems Impacted Over the
Australian Region?

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A software for correcting systematic biases in RCM input boundary conditions

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Can sub-daily multivariate bias correction of regional climate model boundary conditions improve simulation of the diurnal precipitation cycle?

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Correcting Systematic Biases in Regional Climate Model Boundary Variables for Improved Simulation of High-Impact Compound Events

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Multivariate bias correction of regional climate model boundary conditions

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Spatial, temporal, and multivariate bias in regional climate model simulations

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Impact of bias correction of regional climate model boundary conditions on the simulation of precipitation extremes

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Selecting climate change scenarios for regional hydrologic impact studies based on climate extremes indices

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Development of a hybrid regionalization model for estimation of hydrological model parameters for ungauged watersheds

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Hydrological modeling uncertainty analysis for different flow quantiles: a case study in two hydro-geographically different watersheds

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Selecting hydrologic modeling approaches for water resource assessment in the Yongdam watershed

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Award

2023 Dean’s award for outstanding PhD theses
Comprehensive Bias Correction of RCM boundary conditions for simulation of hydrologic extremes

2020 First Prize, The 1st KASEA 2020 NSW HDR and ECR workshop
– Impact of bias correction of regional climate model boundary conditions on the simulation of precipitation extremes

2019 University of New South Wales (UNSW) Scientia PhD Scholarship
A prestigious scholarship to solve complex problems and improve the lives of people in local and global communities.

Membership

Conference papers

Talks

  1. Kim, Y. and Evans, J. P., (2024). Correcting Sub-Daily Multivariate Biases (SDMBC) in RCM Boundaries: Implications for the Diurnal Precipitation Cycle. Australian Meteorological and Oceanographic Society annual conference 2024 (AMOS2024), Canberra, Australia
  2. Kim, Y. and Evans, J. P., (2023). Comprehensive bias correction of RCM boundary conditions for simulation of hydrologic extremes. Centre for Climate Research Singapore, Singapore, Online, Invited
  3. Kim, Y., and Evans, J. P., (2023). Comprehensive bias correction of RCM boundary conditions for simulation of hydrologic extremes. UNSW Climate Change Research Centre Postdoctoral workshop, Australia, Online
  4. Kim, Y., Evans, J. P., Sharma, A., (2023). Comprehensive bias correction of RCM boundary conditions for simulation of hydrologic extremes. UNSW Climate Change Research Centre seminar, Sydney, Australia
  5. Kim, Y., Evans, J. P., Sharma, A., (2023). Correcting Multivariate Bias in RCM Boundary Conditions for Improved Simulation of Extremes. Centre for Climate Research Singapore, Asia Oceania Geosciences Society 2023 (AOGS2023), Singapore
  6. Kim, Y., Evans, J. P., Sharma, A., (2022). Impact of Multivariate Bias-corrected RCM Lateral Boundary Conditions on Extreme Events. American Geophysical Union Fall Meeting conference, Chicago, IL
  7. Kim, Y., Evans, J. P., Sharma, A., (2022). Impact of Multivariate Bias-corrected RCM Lateral Boundary Conditions on Extreme Events. Australian Meteorological and Oceanographic Society annual conference 2022 (AMOS2022), Adelaide, Australia
  8. Kim, Y., Evans, J. P., Sharma, A., (2022). Impact of bias-corrected RCM lateral boundary conditions on precipitation extremes. The XIth Scientific Assembly of the International Association of Hydrological Sciences (IAHS 2022), Montpellier, France
  9. Kim, Y., Evans, J. P., Sharma, A., (2022). Bias-corrected regional climate models for simulating hydrologic extremes. Kyunghee climate change research institute, Suwan, Korea
  10. Kim, Y., Evans, J. P., Sharma, A., (2021). How well do regional climate models maintain variable dependency. 24th International Congress on Modelling and Simulation (MOSIM2021), Sydney, Australia
  11. Kim, Y., Evans, J. P., Sharma, A., (2020). Regional climate model boundary condition bias correction to improve precipitation extremes. Australian Meteorological and Oceanographic Society annual conference 2020 (AMOS2020), Perth, Australia
  12. Tegegne. G., Kim, Y., Kim, Y.-O., (2018). Statistical Downscaling of Precipitation by preserving the Relative Changes in Different Quantiles. Korean Society of Climate Change research conference, Jeju-do, Korea
  13. Tegegne. G., Kim, Y., Seo, S. B., (2018). Effects of Subbasin Spatial Scale on Runoff Simulation using SWAT. Korea Water Resources Association conference, Gyeongju, Korea
  14. Seo, S. B., Kim, Y., Kim, Y.-O., (2017). Selection of Representative Scenarios considering Uncertainty of Future Climate. Korean Society of Civil Engineers 2017 Convention conference, Busan, Korea.
  15. Kim, Y., Seo, S. B., Kim, S. J., Kim, Y.-O., (2017). A Study on Improvement of Parameter Estimation of Ungauged Watershed using a Combination of Spatial Proximity and Multiple Regression Analysis. Korean Society of Civil Engineers 2017 Convention conference, Busan, Korea.
  16. Tegegne, G., Kim, Y., Kim, S. J., Kim, Y.-O., (2017). A Novel Approach to Improve the Uncertainty of River Flow Projections. Korean Society of Civil Engineers 2017 Convention conference, Busan, Korea.
  17. Kim, Y., Park, D. K., Kim, Y.-O., (2017). Climate Change Impact Assessment in South Korea using the Simple Conceptual Model, GR4J. World Environmental & Water Resource Congress conference, Sacramento, CA.
  18. Kim, Y.-O., Park, D. K., Kim, Y., (2016). Comparison of Conceptual and Semi-distribution Models for Climate Change Impact Assessment in the Water Resource Sector: A Case Study of Yongdam Watershed. Korean Society of Climate Change Research conference, Incheon, Korea.
  19. Tegegne, G., Park, D. K., Kim, Y., Kim, Y.-O., (2016). Assessment of Climate Change Impact on the Surface Water Resources of Yongdam Dam Watershed. Korean Society of Climate Change Research conference, Incheon, Korea.
  20. Tegegne, G., Park, D. K., Kim, Y., Kim, Y.-O., (2016). Comparison of Hydrological Models for Assessment of Climate Change Impact on Water Resources of the Lake Tana Basin, Ethiopia. 7th International Conference on Water Resources and Environment Research conference, Kyoto, Japan.

Posters

  1. Kim, Y. and Evans, J. P., (2023). Correcting Multivariate Biases in RCM Boundaries: Implications for Compound Events. 2023 CLEX Annual Workshop, Brisbane, Australia
  2. Kim, Y., Evans, J. P., Sharma, A., (2022). Variable dependency in bias-corrected regional climate models. The 13th International Conference on Southern Hemisphere Meteorology and Oceanography (ICSHMO2022), Christchurch, New Zealand
  3. Kim, Y., Rocheta, E., Evans, J. P., Johnson, F. M., Sharma, A., (2019). Impact of bias corrected WRF lateral boundary conditions on extreme rainfall events. The 23rd International Congress on Modelling and Simulation (MODSIM2019), Canberra, Australia
  4. Kim, Y., Rocheta, E., Evans, J. P., Sharma, A., (2019). Impact of bias corrected WRF lateral boundary conditions on precipitation extremes. NCAS/NCAR WRF Tutorial & Workshop, Lincoln, United Kingdom
  5. Jee, H. W., Kim, D., Kim, Y., Choi, S. H., Kim, Y.-O., (2019). Development of Comprehensive Indices for Drought and Flood Risk Assessments in Korea. World Environmental & Water Resource Congress conference, Pittsburgh, PA
  6. Kim, Y., Seo, S. B., Jee, H. W., Kim, Y.-O., (2018). Analysis on Flood Vulnerability using P-S-R Index. Korea Water Resources Association conference, Gyeongju, Korea
  7. Kim, S. E., Lee, D. K., Kim, K. S., Hyun, S., Kim, Y., (2017). An Index-Based Assessment of Agricultural Water Scarcity for Sustainable Water Resource Management. American Geophysical Union Fall Meeting conference, New Orleans, LA
  8. Kim, Y., Tegegne, G., Seo, S. B., Kim, S. J., Kim, Y.-O., (2017). Comparison of Hydrologic Models for Climate Change Impact Assessment in Korea. Korean Society of Climate Change Research conference, Seoul, Korea
  9. Kim, Y., Seo, S. B., Kim, S. J., Kim, Y.-O., (2017). Applying Regional Regression Analysis of the Hydrologic Model Parameters for Assessing Climate Change Impacts in the Ungauged Watershed. Korea Water Resources Association conference, Changwon, Korea
  10. Park, D. K., Tegegne, G., Kim, Y., Kim, Y.-O., (2016). Performance of Multiple Hydrologic Models under Climate Change in the Yongdam Catchment, South Korea. American Geophysical Union Fall Meeting conference, San Francisco, CA.
  11. Tegegne, G., Park, D. K., Kim, Y., Kim, Y.-O., (2016). On the need to improve the Uncertainty of River Flow Projections in the Yongdam Watershed, South Korea. American Geophysical Union Fall Meeting conference, San Francisco, CA.