DRI / DIRECTORY / YEONUK KIM
Yeonuk Kim Profile Photo
Dr. Yeonuk Kim [he/him/his]
Maki Postdoctoral Researcher
E-Mail 
Yeonuk.Kim@www-dev.dri.edu
Campus 
Las Vegas Campus
Full Resume / CV 
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Division 
Hydrologic Sciences

Dr. Yeonuk Kim is a Maki Postdoctoral Research Fellow at the Desert Research Institute and a member of the OpenET technical team, contributing to advancements in evapotranspiration modeling and climate adaptation technologies.

Dr. Kim earned his Ph.D. from the University of British Columbia (UBC), where he also served as a Postdoctoral Research Fellow, focusing on land-atmosphere interactions and hydrological processes. He holds a Bachelor of Science degree from Seoul National University and previously worked at the National Centre for AgroMeteorology in South Korea.

Keywords

ecohydrology, micrometeorology, hydroclimatology, land-atmosphere interactions, evapotranspiration, satellite remote sensing, eddy covariance

 

Publications
2025
Kim, Y. & Johnson, M. (2025). Deciphering the role of evapotranspiration in declining relative humidity trends over land. Communications Earth & Environment, 6(1), 105. Nature Portfolio. https://doi.org/10.1038/s43247-025-02076-9

Chignell, S., Kim, Y., & Johnson, M. (2025). Remote Sensing-Based Ecohydrogeological Characterisation and Perceptual Model of the Bale Mountains, Ethiopia. Hydrological Processes, 39(2), e70006. John Wiley & Sons, Ltd. https://doi.org/10.1002/hyp.70006

Kim, Y., Garcia, M., Andrew Black, T., & Johnson, M. (2025). Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge. PLOS ONE, 20(7), e0328798. Public Library of Science. https://doi.org/10.1371/journal.pone.0328798

Riba, A., Garcia, M., Tarquís, A., Domingo, F., Antala, M., Feng, S., Liu, J., Johnson, M., Kim, Y., & Wang, S. (2025). Integrating Remotely Sensed Thermal Observations for Calibration of Process-Based Land-Surface Models: Accuracy, Revisit Windows, and Implications in a Dryland Ecosystem. Remote Sensing, 17(21), 3630. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/rs17213630

Conference Proceedings
Kim, Y., Volk, J. M., Comini de Andrade, B., & Huntington, J. L.

Kim, Y., Volk, J. M., Comini de Andrade, B., & Huntington, J. L. (2025). Inferring strong advection from surface flux equilibrium theory to diagnose surface energy balance. AGU Chapman Conference: Boulder, CO, September 15, 2025-September 19, 2025

Volk, J. M., Comini de Andrade, B., Kim, Y., Wang, T., Sueki, S., Huntington, J. L., Melton, F., Morton, C. G., Allen, R., Anderson, M., Fisher, J., Friedrichs, M., Jasoni, R. L., Kilic, A., Ruhoff, A., Senay, G., Halverson, G., Knipper, K., Minor, B. A., Pearson, C., Purdy, A., Yang, Y., French, A., Kustas, W., & Larsen, S. (2025). From Closure to Confidence: Using In Situ ET for Satellite Model Skill Assessment. AGU Chapman Conference on the Energy Balance Closure Problem: Boulder, Colorado

Palou, R., Garcia, M., Tarquis, A., Oyonarte, C., Domingo, F., Liu, J., Johnson, M., Kim, Y., & Wang, S. (2025). Optimizing the revisiting frequency of remotely sensed thermal observations for continuous estimation of ecosystem evapotranspiration and productivity using Bayesian inference. EGU General Assembly: Vienna, Austria

Volk, J. M., Comini de Andrade, B., Kim, Y., Wang, T., Sueki, S., Huntington, J. L., Melton, F. S., Morton, C. G., Allen, R. G., Anderson, M., Fisher, J. B., Friedrichs, M., Jasoni, R. L., Kilic, A., Ruhoff, A., Senay, G. B., Halverson, G., Knipper, K., Minor, B. A., Pearson, C., Purdy, A. J., Yang, Y., French, A., Kustas, W. P., & Larsen, S. G. (2025). From Closure to Confidence: Using In Situ ET for Satellite Model Skill Assessment. AGU Chapman Conference: Boulder, CO, September 15, 2025-September 19, 2025