Phu Nguyen
Biography
Phu Nguyen, Ph.D., is Associate Adjunct Professor at the Center for Hydrometeorology and Remote Sensing (CHRS) in the Department of Civil and Environmental Engineering at the University of California, Irvine. Nguyen received his Ph.D. in Civil Engineering from the University of California, Irvine in 2014. His research focuses on satellite precipitation estimation using machine learning and deep learning techniques, hydrological modeling, and the development of early warning systems for natural hazards such as floods and droughts.
Nguyen has supervised ten Ph.D. students whose research has advanced satellite precipitation estimation through deep learning approaches, atmospheric river analysis, and hydrological modeling techniques. He serves as principal investigator or co-principal investigator on numerous funded projects totaling over $4 million, including grants from NASA, NOAA, the U.S. Army Corps of Engineers, the California Department of Water Resources, and the National Science Foundation. His work has contributed to the development of the PERSIANN family of global satellite precipitation products, which are widely used for hydrometeorological applications worldwide.
Nguyen received the 2019 International Data Prize from the World Meteorological Organization and the World Climate Research Programme's Global Climate Observing System. He has authored or co-authored over 60 peer-reviewed journal papers and has organized multiple international workshops on satellite precipitation estimation and water resources management in regions including Southeast Asia, East Africa, and Central Asia. Nguyen developed the CHRS Data Portal and iRain mobile application, which provide global access to near-real-time satellite precipitation data and support citizen science efforts in rainfall observation.
Return to topEducation
- Ph.D. in Civil Engineering, University of California, Irvine, 2014
- M.S. in Applied Science (Water Resources Management), University of Melbourne, Australia, 2008
- B.S. in Civil Engineering (Hydraulics – Water supply & Drainage), Bach Khoa University – Hochiminh City, Vietnam, 2003
Distinctions
- International Data Prize, World Meteorological Organization (WMO) – World Climate Research Programme (WCRP)/Global Climate Observing System (GCOS), 2019
- Outstanding Student Paper Award, American Geophysical Union (AGU), 2012
- Student Research Fellowship, National Weather Service, NOAA, 2012-2014
- Chancellor's Club for Excellence Fellowship Award, Chancellor of University of California, Irvine, 2014
- Outstanding and Pioneer Educator Award, Orange County Engineering Council, 2019
Areas of Expertise
- Hydrometeorology And Remote Sensing
- Satellite Precipitation Estimation
- Deep Learning For Climate
- Atmospheric River Tracking
- Flood Forecasting Systems
- Extreme Precipitation Events
- Crowdsource Environmental Observation
Recent Publications
- Bolboli Zadeh M., Nguyen P., Hsu K.-L., AghaKouchak A., Thanh Ung T., Sorooshian S., “A Global High-Resolution Precipitation Climate Record: PERSIANN-CCS-CDR Version 2.0” (opens in new tab), Scientific Data, vol. 13, 2026.
- Nguyen P., Dao V., Ung T., Arellano C.J., Hsu K., Sorooshian S., Aghakouchak A., Huffman G.J., Ralph F.M., “PERSIANN-U-Net: A Global Deep Learning Framework for Near-Real-Time Precipitation Estimation Using Infrared Data” (opens in new tab), Journal of Hydrometeorology, vol. 27, pp. 597-615, 2026.
- V.D. Nguyen, N. Rouzegari, V. Dao, F. Almutlaq, P. Nguyen, S. Sorooshian, “Comparative Analysis of Satellite-Based Precipitation Products During Extreme Rainfall from Super Typhoon Yagi in Hanoi, Vietnam (September 2024)” (opens in new tab), Remote Sensing, vol. 17, pp. 1598, 2025.
- C. Jimenez Arellano, V. Dao, P. Nguyen, K. Hsu, S. Sorooshian, “A Comparative Evaluation of Target Datasets for U-Net-Based Precipitation Estimation” (opens in new tab), Journal of Hydrometeorology, vol. 26, pp. 1561–1580, 2025.
- C. Jimenez Arellano, “Beyond Expectations: Investigating Anomalous 2022–23 Winter Weather Conditions and Water Resources Impacts in California” (opens in new tab), Bulletin of the American Meteorological Society, vol. 106, pp. E920–E938, 2025.
- R.S. Alharbi, V. Dao, C. Jimenez Arellano, P. Nguyen, “Comprehensive Evaluation of Near-Real-Time Satellite-Based Precipitation: PDIR-Now over Saudi Arabia” (opens in new tab), Remote Sensing, vol. 16, pp. 703, 2024.
- C. Jimenez Arellano, V. Dao, V. Afzali Gorooh, R.S. Alharbi, P. Nguyen, “Performance of the PERSIANN Family of Products over the Mekong River Basin and Their Application for the Analysis of Trends in Extreme Precipitation Indices” (opens in new tab), Atmosphere, vol. 14, pp. 1832, 2023.
- M. Kumar, S. Li, P. Nguyen, T. Banerjee, “Examining the existing definitions of wildland-urban interface for California” (opens in new tab), Ecosphere, vol. 13, pp. 12, 2022.
- E.J. Shearer, V.A. Gorooh, P. Nguyen, K.L. Hsu, S. Sorooshian, “Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements” (opens in new tab), Scientific Reports, vol. 12, no. 1, pp. 1-15, 2022.
- V. A. Gorooh, A. A. Asanjan, P. Nguyen, K. Hsu, S. Sorooshian, “Deep neural network high SpatioTEmporal resolution precipitation estimation (Deep-STEP) using passive microwave and infrared data” (opens in new tab), Journal of Hydrometeorology, vol. 23, no. 4, pp. 597–617, 2022.
- S. Li, V. Dao, M. Kumar, P. Nguyen, T. Banerjee, “Mapping the wildland-urban interface in California using remote sensing data” (opens in new tab), Scientific Reports, vol. 12, pp. 5789, 2022.
- OMBADI, M., NGUYEN, P., SOROOSHIAN, S., HSU, K.-L., “Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin” (opens in new tab), Journal of Hydrometeorology, vol. 22, pp. 217-229, 2021.
- OMBADI, M., NGUYEN, P., SOROOSHIAN, S., HSU, K.-L., “How much information on precipitation is contained in satellite infrared imagery?” (opens in new tab), Atmospheric Research, vol. 256, pp. 105578, 2021.
- OMBADI, M., NGUYEN, P., SOROOSHIAN, S., HSU, K.-L., “Complexity of hydrologic basins: A chaotic dynamics perspective” (opens in new tab), Journal of Hydrology, vol. 597, pp. 126222, 2021.
Most Cited Publications
- P. Nguyen, E. Shearer, H. Tran, M. Ombadi, N. Hayatbini, T. Palacios, P. Huynh, D. Braithwaite, G. Updegraff, K. Hsu, “The CHRS data portal, an easily accessible public repository for PERSIANN global satellite precipitation data” (opens in new tab), Scientific Data, vol. 6, pp. 1-10, 2019.
- P. Nguyen, M. Ombadi, S. Sorooshian, K. Hsu, A. Aghakouchak, D. Braithwaite, H. Ashouri, A. R. Thorstensen, “The PERSIANN family of global satellite precipitation data: A review and evaluation of products” (opens in new tab), Hydrology and Earth System Sciences, vol. 22, pp. 5801-5816, 2018.
- SADEGHI, M., NGUYEN, P., NAEINI, M. R., HSU, K., BRAITHWAITE, D., SOROOSHIAN, S., “PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies” (opens in new tab), Scientific Data, vol. 8, pp. 1-11, 2021.
- P. Nguyen, A. Thorstensen, S. Sorooshian, K. Hsu, A. Aghakouchak, B. Sanders, V. Koren, Z. Cui, M. Smith, “A high resolution coupled hydrologic–hydraulic model (HiResFlood-UCI) for flash flood modeling” (opens in new tab), Journal of Hydrology, vol. 541, pp. 401-420, 2016.
- NGUYEN, P., OMBADI, M., GOROOH, V. A., SHEARER, E. J., SADEGHI, M., SOROOSHIAN, S., HSU, K., BOLVIN, D., RALPH, M. F., “PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset” (opens in new tab), Journal of hydrometeorology, vol. 21, pp. 2893-2906, 2020.
- OMBADI, M., NGUYEN, P., SOROOSHIAN, S., HSU, K. L., “Developing intensity‐duration‐frequency (IDF) curves from satellite‐based precipitation: Methodology and evaluation” (opens in new tab), Water Resources Research, vol. 54, pp. 7752-7766, 2018.
- SADEGHI, M., NGUYEN, P., HSU, K., SOROOSHIAN, S., “Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information” (opens in new tab), Environmental Modelling and Software, vol. 134, pp. 104856, 2020.
- OMBADI, M., NGUYEN, P., SOROOSHIAN, S., HSU, K. L., “Evaluation of methods for causal discovery in hydrometeorological systems” (opens in new tab), Water Resources Research, vol. 56, pp. e2020WR027251, 2020.
- S. Sellars, P. Nguyen, W. Chu, X. Gao, K.-L. Hsu, S. Sorooshian, “Computational Earth science: Big data transformed into insight” (opens in new tab), Eos, Transactions American Geophysical Union, vol. 94, pp. 277-278, 2013.
- NGUYEN, P., SHEARER, E. J., OMBADI, M., GOROOH, V. A., HSU, K., SOROOSHIAN, S., LOGAN, W. S., RALPH, M., “PERSIANN Dynamic Infrared–Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation” (opens in new tab), Bulletin of the American Meteorological Society, vol. 101, pp. E286-E302, 2020.
Contact Information
Website: https://engineering.uci.edu/users/phu-nguyen
Email: ndphu@uci.edu
Phone: (949) 824-8821
Address: 5300 Engineering Hall
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Last updated on 5/14/2026.