Hydro-Climatology Research Group


Welcome to the homepage of the Hydroclimatology Research Group at POSTECH. Please follow the NEWS about our research group activities and visit other web pages: Group Members, Research Projects, Publications, Photos, and Archive.

Hydroclimatology@POSTECH is currently looking for highly motivated graduate applicants.  

Potential topics are 1) drought mechanisms, risk, and predictability, 2) large-scale land surface modeling focusing on the land cover and use change impact, 3) hydrodynamical modeling with unmanned boat-based river bathymetry surveys, and 4) socio-hydrology with a focus on the dynamics of social response (potential triggers and growth and decay patterns) during emerging water-related disasters.  

If you are interested in these research topics, please contact me (jhkam@postech.ac.kr)

YouTube Channel (click): Check the videos from our recent research activities and publications. 

  (NOTICE) Photo and Content Credit  from the HCR group website: Dr. Jonghun Kam 



Our group has two incoming students in the Spring semester of 2024: Deviicha (Icha) Ludyawati (M.S.E program) and Hyeongsoek Oh (M.S.E/Ph.D. program).  

Welcome onboard, Icha and Hyeonsoek!


Dr. Kam's report on the 2022 Central Andes drought was accepted for publication in the Bulletin of the American Meteorological Society. In this report, we found that the affect of anthropogenic greenhouse gas and aerosol forcing on 2022-like Central Andes droughts is compensating, resulting in no statistically significant human contribution to the 2022-like droughts. This finding highlights the need to design the climate change mitigation and adaptation policies for Central Andes.

Kam, J.*, S.-K. Min, B.-H. Kim**, Y.-H. Kim, L. B. Diaz, J.-S. Kug, R. Park, 2023, Elusive human contribution to the 2022 Central Andes spring drought: Compensating anthropogenic greenhouse gas and aerosol impacts,  Bull. Amer. Meteor. Soc. (accepted)

Congtrats to all authors!


Maria completed the MSE degree successfully. The title of her thesis is "Assessing the cascade of uncertainty in the prediction skill of Random Forest (RF) modelling for PM10." She investigated the impact of input data record length and precipitation information on RF model's prediction skill for PM10 prediction. Her sites were three stations over South Korea (one station from Seoul, Daegu, and Busan). She is currently looking for a opening position for graduate research assistant. I wish the best luck on her new journey. 

Congratulations, Maria!


Anqi got an award (우수논문도전상) from the 4th POSTECH Excellence Research Achievement Competition (우수성과경진대회). All the POSTECH graduates, postdoc research associates, and research professors to participate in this competition. Her research achievement is the following npj Clean Water article:

Liu, A.**, J. Kam*, S. Kwon, and W. Shao, 2023: Monitoring the impact of climate extremes and COVID-19 on statewise sentiment alterations in water pollution complaints, npj Clean Water, 6, 29. https://doi.org/10.1038/s41545-023-00244-y

Congratulations, Anqi!


Seung-Hui's paper on deep learning modeling for air pollutant from an emission facility was accepted in Journal of Cleaner Production. In her paper, she explored the potential of  deep learning in predicting air pollutant emissions (NOx, SOx, Total Suspended Particle (TSP)) using operational variables of the facility. My student, Kwang-Hun, is a coauthor who developed the concept of deep learning modeling

Choi, S.**, K.-H. Lee**, J.-H. Park, S. Jeon, H. J. Lee, P.-G. Kang*, J. Kam*, 2024, Reliable AI models can reveal key processes of heat recovery steam generator operation in air pollutant emission, J. Clean. Prod., 140806. https://doi.org/10.1016/j.jclepro.2024.140806 

Great job, Seung-Hui!


Our group has an undergraduate intern, Jiyun Shin (Ewha Womans University). She will conduct an independent study for AI modeling of reservoir water quantity and quality modeling during this winter break intern period.

Welcome onboard, Jiyun!


Happy New Year!

2023 was a productive year to our research group! Here are seven refereed articles published in 2023 from our research group (*student/postdoc first author). I appreciate their hard work and am proud of their scholarly products. More publications are forthcoming in 2024! Wish the best to all my research group members and alumni.

1. Lee, K.-H.*, S. Ali*, Y. Kim*, K. Lee, S. Y. Kwon, J. Kam, 2023, High Resolution Mapping of Nitrate Loads of a Reservoir Using an Unmanned Surface Vehicle: Potential Opportunities and Challenges, Water Resour. Res., 59, e2023WR034665.  https://doi.org/10.1029/2023WR034665 

2. Park, C. K.*, S. Lee, H. Yoon, J. Kam, 2023, Sub-seasonal to Seasonal Outlook of the 2022-23 Southwestern Korea Meteorological Drought, Environ. Res. Lett., 18, 104039. https://doi.org/10.1088/1748-9326/acfb27 

3. Song, J.*, K. Jeong, and J. Kam, 2023, Evidence of the time-varying impacts of the COVID-19 pandemic on online search activities relating to shopping items in South Korea, Humanit. Soc. Sci. Commun. (Springer Nature), 100, 669. https://doi.org/10.1057/s41599-023-02183-y 

4. Lee, E.* and J. Kam, 2023,  Deciphering the black box of deep learning for multi-purpose dam operation modeling via explainable scenarios, J. Hydro., 626, 130177.  https://doi.org/10.1016/j.jhydrol.2023.130177 

5. Liu, A.*, J. Kam, S. Kwon, and W. Shao, 2023: Monitoring the impact of climate extremes and COVID-19 on statewise sentiment alterations in water pollution complaints, npj Clean Water, 6, 29. https://doi.org/10.1038/s41545-023-00244-y 

6. Ali, S.*, B.-H. Kim*, T. Akhtar, and J. Kam*, 2023: Past and future changes toward earlier timing of streamflow over Pakistan from bias-corrected regional climate projections (1962-2099), J. Hydrol., 617, 128959. https://doi.org/10.1016/j.jhydrol.2022.128959 

7. Park, C.-K.* and J. Kam, 2023: Sub-seasonal Experiement (SubX) model-based assessment of the prediction skill of recent multi-year South Korea droughts,  Asia Pac J Atmos Sci., 59, 69-82. https://doi.org/10.1007/s13143-022-00307-z