Publications

(*:corresponding author; **:student/postdoc author)

(in prep./submitted/review/revision)

Choi et al., Explainable AI enhances insights into NOx emissions reduction from a thermal facility (in prep.)

Razza and Kam, Sixfold record events of Pakistan's rivers in a changing climate (in prep.)

Choi et al., Emerging Role of AI in Emotion-Focused Coping for Drought (submitted)

Kim et al., 9-km gridded streamflow for Ganges-Brahmaputra-Meghna River Basins in Bangladesh (1951–2023) (in review)

Kim et al., Attribution Analysis of Springtime Nutrient Changes in Coastal Waters around Korea (in prep.)

Lee et al., Machine Learning-Based Analytic Hierarchy Process for Pluvial Flood Risk Assessment for South Korea (submitted) 


(2025)

54. Kim, B.-H.**, Y.-O. Kim, and J. Kam*, 2025, Hyper-resolution naturalized streamflow data for Geum River in South Korea (1951–2020), Scientific Data, 12, 210. https://doi.org/10.1038/s41597-025-04486-y


(2024)

53. Bastola, S., J. Cho, J. Kam, and Y. Jung, 2024, Assessing the influence of climate change on multiple climate indices in Nepal using CMIP6 global climate models, Atmospheric Research 311, 107720. https://doi.org/10.1016/j.atmosres.2024.107720

52. Ahmad, D. M.** and J. Kam*, 2024, Disparity between global drought hazard and awareness, npj Clean Water, 7, 75. https://doi.org/10.1038/s41545-024-00373-y 

51. Lee, K.-H.** and J. Kam*, 2024, Spatiotemporal patterns of water volume and total organic carbon concentration of agricultural reservoirs over South Korea, Water Res., 256, 121610. https://doi.org/10.1016/j.watres.2024.121610 

50. Park, C.-K.** and J. Kam*, 2024, Spatiotemporal Patterns of Groundwater Over South Korea, Sci. Total. Environ., 928, 172221. https://doi.org/10.1016/j.scitotenv.2024.172221

49. Kam, J.*, S.-K. Min, B.-H. Kim**, Y.-H. Kim, L. B. Diaz, J.-S. Kug, R. Park, 2024, Climate Models Indicate Compensating Effects between Anthropogenic Greenhouse Gases and Aerosols on the 2022 Central Andes Spring DroughtBull. Amer. Meteor. Soc., 105, E825–E831. https://doi.org/10.1175/BAMS-D-23-0241.1   

48. 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., 438, 140806. https://doi.org/10.1016/j.jclepro.2024.140806 

47. Jung, K., J. Kam, and S. Lee, 2024, Tropical cyclone risk assessment reflecting the climate change trend: The case of South Korea, Nat. Hazards., 120, 5841-5967. https://doi.org/10.1007/s11069-024-06428-0   

46. Song, J., J. Kam, and S. Jones, 2024, Utility of Remotely Operated Underwater Vehicle in Flood Inundation Mapping for Dam Failure: A Case Study of Lake Tuscaloosa Dam, River Res. Appl., 40, 63-76. https://doi.org/10.1002/rra.4217 


(2023)

45. 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 Uncrewed Surface Vehicle: Potential Opportunities and Challenges, Water Resour. Res., 59, e2023WR034665.  https://doi.org/10.1029/2023WR034665 <data>

44. 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 <data>

43. Ha, K., J. Kam*, M. Watanabe, T. Zhou, and W. Dong, 2023, Grand Challenges in Earth Science: The Weather-Climate-Society Nexus over Northeast Asia, Bull. Amer. Meteor. Soc., 104, E1956-E1961 (non-refereed). https://doi.org/10.1175/BAMS-D-23-0237.1 

42. 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 <data>

Media: POSTECH Homepage, 브레이크뉴스, 베리타알파, 동아사이언스, 파이낸셜뉴스, 매일경제, 전자신문, MONETA뉴스, 아크로팬, PAXNet, EurekAlert!, Bioengineer.org, SCIENMAG, Phys.org

41. 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  <data> <pdf>

40. Kim, S., M. Kumar, and J. Kam, 2023: Rain-fed to Irrigation-fed Transition of Agriculture Exacerbates Meteorological Drought in Cropped Regions but Moderates Elsewhere, Environ. Res. Lett., 18, 074024. https://doi.org/10.1088/1748-9326/acddfb 

39. Lee, H., S. Y. Kown, J. Kam, L.-T. Lee, X. Fu, I.-G. Cho, and S.-D. Choi, 2023: Isotopic investigation of sources and processes affecting gaseous and particulate bound mercury in the east coast, South Korea, Sci. Total. Environ., 891, 164404. https://doi.org/10.1016/j.scitotenv.2023.164404 

38. Lee, K.-T., J.-S. Kim, K.-T. Park, M.-J. Park, E. Jang, K. Gudmundsson, S. R. Olafsdottir, J. Olafsson, Y. J. Yoon, B.-Y. Lee, S. Y. Kwon, and J. Kam, 2023: Observational evidence linking ocean sulfur compounds to atmospheric dimethyl sulfide during Icelandic Sea phytoplankton blooms, Sci. Total. Environ., 879, 163020.  https://doi.org/10.1016/j.scitotenv.2023.163020

37. 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  <data>

Media: 베리스타알파, 경북신문, 신아일보, BreakNews, 한국대학신문, 메디컬투데이, 동아사이언스, EurekAlert!, SCIENMAG

36. 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 <data>

Media: Eurekalert!, Sciencedaily, Phys.org, SCIENMAG, ENN, POSTECH Front Webpage

35. 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 (pdf)


(2022)

34. Kam, J.*, S.-K. Min, C.-K. Park**, B.-H. Kim**, J.-S. Kug, 2022: Human contribution to 2020/21-like persistent Iran meteorological droughts, Bull. Amer. Meteor. Soc., 103, E2930–E2936. https://doi.org/10.1175/BAMS-D-22-0149.1.  

33. Park, C.-K.**, J. Kam*, H.-R. Byun, and D.-W. Kim, 2022: A Self-Calibrating Effective Drought Index (scEDI): Evaluation against Social Drought Impact Records over the Korean Peninsula (1777-2020). J. Hydrol. 613, 128357. https://doi.org/10.1016/j.jhydrol.2022.128357 <data>

Media: 동아사이언스, 뉴스1, 대덕넷, 경북메일, 브레이크뉴스, 한국대학신문, 배리스타알파, 교수신문, 위키트리, 뉴스프리존, Eurekalert!, Sciencedaily, Phys.org, POSTECH Front Webpage

32. Fang, B., J. Kam, E. Elliott, G. A. Tootle, M. Therrell, and V. Lakshmi, 2022: The Recent Decline of Apalachicola–Chattahoochee–Flint (ACF) River Basin Streamflow, Hydrology, 9, 140. https://doi.org/10.3390/hydrology9080140 

31. Kam, J.*, S.-K. Min, Y.-H. Kim, B.-H. Kim**, and J.-S. Kug​​, 2022: Anthropogenic contribution to the record-breaking warm and wet winter 2019/20 over Northwest Russia. Bull. Amer. Meteor. Soc., 103, S38-S43. https://doi.org/10.1175/BAMS-D-21-0148.1 (pdf)

Media: 동아사이언스, 전자신문, YTN 사이언스, 뉴스1, 매일신문, 경북메일, ScienceDaily, phys.org, EurekAlert!, NATURE WORLD NEWS, Газета.ru, SCIENMAG

YouTube Video:  YTN사이언스

Featured: PreventionWeb.net

30. Shao, W., J. Kam, and E. Cass, 2022: Public awareness and perceptions of drought: A case study of two cities of Alabama. Risk, Hazards, & Crisis in Public Policy, 14, 27-44. https://doi.org/10.1002/rhc3.12248

29. Kug, J.-S., J.-H. Oh, S.-I. An, S.-W. Yeh, S.-K. Min, S.-W. Son, J. Kam, Y.-G. Ham, and J. Shin, 2022: Hysteresis of the intertropical convergence zone to CO2 forcing. Nat. Clim. Change., 12, 47-53. https://doi.org/10.1038/s41558-021-01211-6 (pdf) 


(2021)

28. Kam, J*. 2021: Diversity in the Observed Functionality of Dams and Reservoirs, Environ. Res.: Infrastruct. Sustain., 1,  031003. https://doi.org/10.1088/2634-4505/ac3f3f <data>

27. Formetta, G., J. Kam, S. Sadeghi, G. Tootle, T. Piechota, 2021, Atlantic Ocean Variability and European Alps Winter Precipitation, Water, 13, 3377. https://doi.org/10.3390/w13233377

26. Kam, J.*, J. Park**, W. Shao, J. Song**, J. Kim, F. T. Gizzi, D. Porrini, and Y.-J. Suh, 2021: Data-driven modeling reveals the Western dominance of global pubic interest in earthquakes,  Humanit. Soc. Sci. Commun. (Springer Nature), 8, 242. https://doi.org/10.1057/s41599-021-00914-7 <data>

Media: EurekAlert, 뉴시스, 대덕넷, 영남일보

25. Song, J.**, M. Sciubba**, and J. Kam*, 2021, Risk and Impact Assessment of Dams in the Contiguous United States using the 2018 National Inventory of Dams Database, Water, 13, 1066. https://doi.org/10.3390/w13081066.

24. Vines, M., G. Tootle, L. Terry, E. Elliott, J. Corbin, G. L. Harley, J. Kam, S. Sadehi, and M. Therrell, 2021, A Paleo Perspective of Alabama and Florida (USA) Interstate Streamflow, Water, 13, 657. https://doi.org/10.3390/w13050657. 

23. Kam, J.*, S. Kim**, and J. Roundy, 2021, Did a skillful prediction of near-surface temperatures help or hinder forecasting of the 2012 US drought?, Environ. Res. Lett., 16, 3. https://doi.org/10.1088/1748-9326/abe1f6.

22. Kam, J.*, S-K. Min, P. Wolski, and J.-S. Kug, 2021, CMIP6 Model-Based Assessment of Anthropogenic Influence on the Long Sustained Western Cape Drought over 2015-2019, Bull. Amer. Meteor. Soc., 102, S45-S50. https://doi.org/10.1175/BAMS-D-20-0159.1/BAMS-D-17-0115.1 (pdf)


(2020)

21. Wanyun, S. and J. Kam, 2020, Retrospective and Prospective Evaluations of Drought and Flood, Sci. Total Environ., 748, 141155. https://doi.org/10.1016/j.scitotenv.2020.141155 (pdf)

20. Gizzi, F. T., J. Kam, and D. Porrini, 2020, Time windows of opportunities to fight earthquake under-insurance: evidence from Google Trends. Humanit. Soc. Sci. Commun. (Springer Nature), 7, 61 (Article number). https://doi.org/10.1057/s41599-020-0532-2 (pdf)


Before joining POSTECH (before 01/2020):

19. Kim, S.**, W. Shao, and J. Kam*, 2019, Spatiotemporal Patterns of US Drought Awareness, Palgrave Comm. (Springer Nature), 5, 107 (Article number). https://doi.org/10.1057/s41599-019-0317-7 (pdf)

18. Sadeghi, S., G. Tootle, E. Elliott, V. Lakshmi, M. Therrell, J. Kam, and B. Bearden, 2019, Atlantic Ocean Sea Surface Temperatures and Southeast United States Streamflow Variability: Associations with the Recent Multi-decadal Decline, J. Hydrol., 576, 422-429. https://doi.org/10.1016/j.jhydrol.2019.06.051 

17. Kam, J.*, K. Stowers, and S. Kim**, 2019, Monitoring of Drought Awareness from Google Trends: A Case Study of the 2011–17 California Drought, Weather Clim Soc., 11, 419-429. https://doi.org/10.1175/WCAS-D-18-0085.1 

16. Milly, P. C. D., J. Kam, and K. A. Dunne, 2018, On the Sensitivity of Annual Streamflow to Air Temperature, Water Resour. Res., 54, 2624-2641. https://doi.org/10.1002/2017WR021970 

15. Kam, J.*, T. R. Knutson, and P. C. D. Milly, 2018, Climate model assessment of changes in winter-spring streamflow timing over North America, J. Climate, 31, 5559-5579. https://doi.org/10.1175/JCLI-D-17-0813.1 

14. Knutson, T. R., J. Kam, F. Zeng, and A. T. Wittenberg, 2018, CMIP5 model-based assessment of anthropogenic influence on record global warmth during 2016, Bull. Amer. Meteor. Soc., 99(1), S11-S15. https://doi.org/10.1175/BAMS-D-17-0104.1. 

13. Kam, J.*, T. R. Knutson, F. Zeng, and A. T. Wittenberg, 2018, CMIP5 model-based assessment of anthropogenic influence on highly anomalous Arctic warmth during November-December 2016, Bull. Amer. Meteor. Soc., 99(1), S34-S38. https://doi.org/10.1175/BAMS-D-17-0115.1 

12. Kam, J.*, T. R. Knutson, F. Zeng, and A. T. Wittenberg, 2016, Multimodel assessment of anthropogenic influence on record global and regional warmth during 2015, Chapter 2 of "[Explaining extreme events of 2015 from a climate perspective]," Bull. Amer. Meteor. Soc., 97, S4-S8. https://doi.org/10.1175/BAMS-D-16-0138.1

11. Kam, J.* and J. Sheffield, 2016, Increased drought and pluvial risk over California due to changing oceanic condition, J. Climate, 29, 8269-8279. https://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-15-0879.1

10. Sadri, S., J. Kam, and J. Sheffield, 2016, Nonstationarity of low flows and their timing in the eastern United States, Hydrol. Earth Syst. Sci., 20, 633-649. https://doi.org/10.5194/hess-20-633-2016 

9. Kam, J.*, T. R. Knutson, F. Zeng, and A. T. Wittenberg, 2016, Record annual-mean warmth over Europe, the northeast Pacific, and the northwest Atlantic during 2014: Assessment of anthropogenic influence,  Bull. Amer. Meteor. Soc., 96, S61-S65. https://doi.org/10.1175/BAMS-D-15-00101.1.

8. Kam, J.* and J. Sheffield, 2015, Changes in the Low Flow Regime over the Eastern United States (1962-2011): Variability, Trends, and Attributions, Clim. Chang., 135, 639-653. https://doi.org/10.1007/s10584-015-1574-0 

7. Getirana, A., E. Dutra, M. Guimberteau, J. Kam, et al., 2014, Water balance in the Amazon basin from a land surface model ensemble. J. Hydrometeor., 15, 2586-2614. https://doi.org/10.1175/JHM-D-14-0068.1.

6. Kam, J.*, J. Sheffield, and E. F. Wood, 2014, Changes in drought risk over the contiguous United States (1901-2012): The influence of the Pacific and Atlantic Oceans, Geophys. Res. Lett., 41, 5897-5903. https://doi.org/10.1002/2014GL060973.

5. Kam, J.*, J. Sheffield, and E. F. Wood, 2014, A multi-scale analysis of drought and pluvial mechanisms for the southeastern United States, J. Geophys. Res. Atmos., 119, 7348-7367. https://doi.org/10.1002/2014JD021453

4. Kam, J.*, J. Sheffield, X. Yuan, and E. F. Wood, 2014, Did a skillful prediction of sea surface temperatures help or hinder forecasting the 2012 Midwestern summer drought?, Environ. Res. Lett., 9, 034005. http://dx.doi.org/10.1088/1748-9326/9/3/034005 

​3. Yuan, X., E. F. Wood, N. W. Chaney, J. Sheffield, J. Kam, M. Liang, and K. Guan, 2013, Probabilistic seasonal forecasting of African drought by dynamical models, J. Hydrometeor., 14, 1706-1720. https://doi.org/10.1175/JHM-D-13-054.

2. Kam, J.*, J. Sheffield, X. Yuan, and E. F. Wood, 2013, The influence of Atlantic tropical cyclones on drought over the eastern US (1980-2007), J. Climate, 26, 3067- 3086. https://doi.org/10.1175/JCLI-D-12-00244.1.

1. Kumar, S., V. Merwade, J. Kam and K. Thurner, 2009, Streamflow trends in Indiana: effects of long term persistence, precipitation, and subsurface drains, J. Hydrol., 374, 171–183. https://doi.org/10.1016/j.jhydrol.2009.06.012.