Publications

Journal Articles

  1. Hwang, J., Najibi, N., & Devineni, N. (2025). A machine learning framework for quantifying the spatial anomality of excessive precipitation accumulations across the continental United States. Under Review.
  2. Hwang, J., & Sankarasubramanian, A. (2025). Large-Scale Moisture Delivery Pathways Contributing to Winter Floods in the US. Under Review.
  3. Hwang, J., Schreck III, C. J., Aiyyer, A., & Sankarasubramanian, A. (2025). Understanding the organizing scales of winter flood hydroclimatology and the associated drivers over the coterminous United States. Journal of Hydrology X, 100200.
  4. Hwang, J., & Lall, U. (2024). Increasing dam failure risk in the USA due to compound rainfall clusters as climate changes. npj Natural Hazards, 1(1), 27.
  5. Kim, S. H., Hwang, J., & Sankarasubramanian, A. (2024). Understanding the variability of large-scale statistical downscaling methods under different climate regimes. Journal of Hydrology, 641, 131818.
  6. Ruhi, A., Hwang, J., Devineni, N., Mukhopadhyay, S., Kumar, H., Comte, L., Worland, S., & Sankarasubramanian, A. (2022). How does flow alteration propagate across a large, highly regulated basin? Dam attributes, network context, and implications for biodiversity. Earth’s Future, e2021EF002490.
  7. Hwang, J., & Devineni, N. (2022). An improved Zhang’s Dynamic Water Balance Model using Budyko‐based snow representation for better streamflow predictions. Water Resources Research, e2021WR030203.
  8. Kumar, H., Hwang, J., Devineni, N., & Sankarasubramanian, A. (2022). Dynamic Flow Alteration Index for Complex River Networks With Cascading Reservoir Systems. Water Resources Research, 58(1), e2021WR030491.
  9. Hwang, J., Kumar, H., Ruhi, A., Sankarasubramanian, A., & Devineni, N. (2021). Quantifying Dam‐Induced Fluctuations in Streamflow Frequencies Across the Colorado River Basin. Water Resources Research, 57(10), e2021WR029753.

Conference Proceedings and Presentations

  • Hwang, J. & Arumugam, S. (2024). Large-Scale Moisture Delivery Pathways Contributing to Winter Floods in the United States. AGUFM, 2024.
  • Bae, K., Hwang, J., & Arumugam, S. (2024). Spatial Dependence of Floods over the Coterminous United States. AGUFM, 2024.
  • Kim, S. H., Hwang, J., Devineni, N., & Arumugam, S. (2024). The role of aleatory uncertainty in simulating streamflow using data- and process-driven models. AGUFM, 2024
  • Najibi, N., Hwang, J., Wang, D., Bae, K., Levey, J., Awasthi, C., Arumugam, S., & Devineni, N. (2024). Advancing Global Flood Damage Modeling Using Explainable Machine Learning Frameworks. AGUFM, 2024.
  • Hwang, J. & Arumugam, S. (2023). Understanding the Source of Moisture Transport Associated with Winter Floods across the United States. AGUFM, 2023, H23Q-1808.
  • Kim, S. H., Hwang, J., & Arumugam, S. (2023) Quantifying differences in developing hydroclimate projections due to downscaling across climate zones. AGUFM, 2023, A21D-2292.
  • Hwang, J., & Devineni, N. (2020). An improved Zhang’s Water Balance Model using Budyko based snow representation and time varying parameterization for better streamflow predictions. In AGU Fall Meeting Abstracts, 2020, H072 08 (oral presentation).
  • Hwang, J., & Devineni, N. (2019). Quantifying the Spatial Coherence of Deficit and Excess Rainfall Across the Continental United States. In AGU Fall Meeting Abstracts, 2019, H11G 04 (oral presentation).
  • Ruhi, A., Hwang, J., Devineni, N., Mukhopadhyay, S., Kumar, H., Comte, L., Worland, S., and Sankarasubramanian, A. (2019). How does flow alteration propagate across a large, highly regulated basin? Dam attributes, network context, and implications for biodiversity. In AGU Fall Meeting Abstracts, 2019, H23N 2086.
  • Hwang, J., Lee, J. H., & Cho, Y. S. (2015). Numerical prediction of scouring depth around foundations of offshore structures. International Conference on Offshore Mechanics and Arctic Engineering (Vol. 56475, p. V001T10A003). American Society of Mechanical Engineers (oral presentation).
  • Hwang, J., Kim, S. J., & Cho, Y. S. (2015). Numerical Model Using VOF Multiphase Model for Scouring Around Offshore Structures. Korean Society Of Hazard Mitigation (oral presentation).

Thesis Report

  1. Hwang, J. (2021). Understanding the Effect of Climate and Hydrometeorological Extremes on Natural and Human-Induced Hydrosystems. Ph.D. Dissertation. Department of Civil Engineering, The City College of New York, City University of New York, New York, USA.
  2. Hwang, J. (2016). Scouring Prediction Using VOF Multiphase Model for Offshore Structures. M.S. Thesis. Department of Civil and Environmental Engineering, Hanyang University, Seoul, Republic of Korea.
  3. Hwang, J. (2013). Structural Design of Submerged Breakwater using Precast Concrete. Capstone Design Project. Department of Civil Engineering, Konkuk University, Seoul, Republic of Korea.

Last Update: 03/04/2025