Phu Dinh Nguyen
Associate Adjunct Professor, Civil & Environmental Engineering
The Henry Samueli School of Engineering
The Henry Samueli School of Engineering
Ph.D., University of California, Irvine, 2014, Civil & Environmental Engineering
M.S., University of Melbourne, Australia, 2008, Engineering Science
B.S., Bach Khoa University HCMC Vietnam, 2003, Civil Engineering
M.S., University of Melbourne, Australia, 2008, Engineering Science
B.S., Bach Khoa University HCMC Vietnam, 2003, Civil Engineering
University of California, Irvine
Department of Civil & Environmental Engineering
EG 4300
Office: 5324 Engineering Hall
Mail Code: 2175
Irvine, CA 92697
Department of Civil & Environmental Engineering
EG 4300
Office: 5324 Engineering Hall
Mail Code: 2175
Irvine, CA 92697
Research Interests
Hydrology, Water Resources, Remote Sensing, GIS
Websites
Academic Distinctions
Invited Talks
Nguyen, P. et al. PERSIANN Dynamic IR-Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation. IPC12; 2019 June 19-21; Irvine, California, USA.
P. Nguyen, S Sorooshian. Distributed hydrologic modeling using satellite precipitation. Oral presentation at the ICTP Fourth Workshop on Water Resources in Developing Countries: Hydroclimate Modeling and Analysis Tools. June 12-24, 2017. Trieste, Italy.
Sorooshian, S., P. Nguyen. Monitoring and Modeling of the Hydrologic Cycle with Focus on Extreme Events. Oral presentation UCI-Osher Lifelong Learning Institute. Mar 24, 2017. Irvine, California, USA.
Hsu. K., P. Nguyen. ASEAN Technical Workshop on CHRS Remote Sensing Precipitation & Bias Adjustment of PERSIANN-CCS Estimation for Water and Disaster Management. Training session at the THA 2017: THA 2017 International Conference on Water Management and Climate Change towards Asia's Water-Energy-Food Nexus; 2017 Jan 24-26, Bangkok, Thailand.
Nguyen, P. UC-Irvine CHRS’s global satellite precipitation products: challenges and opportunities. Oral presentation at the UCI CEE Department seminar. Jan 22, 2016. UC Irvine, California, USA.
Sorooshian, S., P. Nguyen. Role of advanced Observational, Information and GIS tools in assessing hydroclimate change and variability effects on urban areas. Oral presentation at the American Public Works Association (APWA) 15th Annual GIS Conference: GIS Role in Government Agencies. Sep 5, 2013. Cypress, California, USA.
OTHER CONFERENCE ATTENDANCES
• Weather Day on the Hill, 2015 May 12-14, Washington DC, USA.
• Vietnam Development Symposium, 2015 Jan 5, Harvard University, Boston, USA.
• Studies of Precipitation, flooding, and Rainfall Extremes Across Disciplines (SPREAD) workshop, 2014 July 23-25, NCAR, Colorado State University, Boulder, Colorado, USA.
• Google Earth Engine and Disaster Risk Modeling workshop, 2013 December 17-18, Google Headquarters, Mountain View, California, USA.
• Studies of Precipitation, flooding, and Rainfall Extremes Across Disciplines (SPREAD) workshop, 2013 June 16-21, Colorado State University, Fort Collins, Colorado, USA.
• NSF-EarthCube Workshop on Earth System Modeling Coupling, 2013 February 11-12, UC Irvine, California, USA.
• 3rd SMAP Cal/Val Workshop, 2013 November 14-16, Oxnard, California, USA.
• ESRI User Conference 2012, July 23-27, San Diego, California, USA.
• International Conference on Effective Land-Water Interface Management for Solving Agriculture Fishery - Aquaculture Conflicts in Coastal Zones, 2005 March 1-3, Bac Lieu, Vietnam.
Media Appearances and Interviews
• May 30, 2017, Field Trip Offers Students Firsthand Look at Modern Data Collection Technologies, UCI Samueli School of Engineering.
http://engineering.uci.edu/news/2017/5/field-trip-offers-students-firsthand-look-modern-data-collection-technologies
• February 1, 2017, Using technology to fortify ASEAN against floods, UNESCO Bangkok News.
http://bangkok.unesco.org/content/using-technology-fortify-asean-against-floods
14
• January 5, 2017, UCI introduces iRain smartphone app, UCI News.
https://news.uci.edu/2017/01/05/uci-introduces-irain-smartphone-app/
• January 6, 2017, How much rain did we get? Ask the iRain app created at UCI, Los Angeles Times.
http://www.latimes.com/socal/daily-pilot/news/tn-dpt-me-uci-rain-app-20170106-story.html
• November 28, 2016, iRain: New Mobile App Supports Water Management Around the World, US Army Corps of Engineers News.
http://www.iwr.usace.army.mil/Media/News-Stories/Article/1013319/irain-new-mobile-app-supports-water-management-around-the-world
• November 8, 2016, iRain: new mobile App to promote citizen-science and support water management, UNESCO News.
http://en.unesco.org/news/irain-new-mobile-app-promote-citizen-science-and-support-water-management
• June 29, 2015, Postdoc Represents Samueli School at National Event, UCI Samueli School of Engineering.
http://engineering.uci.edu/news/2015/6/postdoc-represents-samueli-school-national-event
Nguyen, P. et al. PERSIANN Dynamic IR-Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation. IPC12; 2019 June 19-21; Irvine, California, USA.
P. Nguyen, S Sorooshian. Distributed hydrologic modeling using satellite precipitation. Oral presentation at the ICTP Fourth Workshop on Water Resources in Developing Countries: Hydroclimate Modeling and Analysis Tools. June 12-24, 2017. Trieste, Italy.
Sorooshian, S., P. Nguyen. Monitoring and Modeling of the Hydrologic Cycle with Focus on Extreme Events. Oral presentation UCI-Osher Lifelong Learning Institute. Mar 24, 2017. Irvine, California, USA.
Hsu. K., P. Nguyen. ASEAN Technical Workshop on CHRS Remote Sensing Precipitation & Bias Adjustment of PERSIANN-CCS Estimation for Water and Disaster Management. Training session at the THA 2017: THA 2017 International Conference on Water Management and Climate Change towards Asia's Water-Energy-Food Nexus; 2017 Jan 24-26, Bangkok, Thailand.
Nguyen, P. UC-Irvine CHRS’s global satellite precipitation products: challenges and opportunities. Oral presentation at the UCI CEE Department seminar. Jan 22, 2016. UC Irvine, California, USA.
Sorooshian, S., P. Nguyen. Role of advanced Observational, Information and GIS tools in assessing hydroclimate change and variability effects on urban areas. Oral presentation at the American Public Works Association (APWA) 15th Annual GIS Conference: GIS Role in Government Agencies. Sep 5, 2013. Cypress, California, USA.
OTHER CONFERENCE ATTENDANCES
• Weather Day on the Hill, 2015 May 12-14, Washington DC, USA.
• Vietnam Development Symposium, 2015 Jan 5, Harvard University, Boston, USA.
• Studies of Precipitation, flooding, and Rainfall Extremes Across Disciplines (SPREAD) workshop, 2014 July 23-25, NCAR, Colorado State University, Boulder, Colorado, USA.
• Google Earth Engine and Disaster Risk Modeling workshop, 2013 December 17-18, Google Headquarters, Mountain View, California, USA.
• Studies of Precipitation, flooding, and Rainfall Extremes Across Disciplines (SPREAD) workshop, 2013 June 16-21, Colorado State University, Fort Collins, Colorado, USA.
• NSF-EarthCube Workshop on Earth System Modeling Coupling, 2013 February 11-12, UC Irvine, California, USA.
• 3rd SMAP Cal/Val Workshop, 2013 November 14-16, Oxnard, California, USA.
• ESRI User Conference 2012, July 23-27, San Diego, California, USA.
• International Conference on Effective Land-Water Interface Management for Solving Agriculture Fishery - Aquaculture Conflicts in Coastal Zones, 2005 March 1-3, Bac Lieu, Vietnam.
Media Appearances and Interviews
• May 30, 2017, Field Trip Offers Students Firsthand Look at Modern Data Collection Technologies, UCI Samueli School of Engineering.
http://engineering.uci.edu/news/2017/5/field-trip-offers-students-firsthand-look-modern-data-collection-technologies
• February 1, 2017, Using technology to fortify ASEAN against floods, UNESCO Bangkok News.
http://bangkok.unesco.org/content/using-technology-fortify-asean-against-floods
14
• January 5, 2017, UCI introduces iRain smartphone app, UCI News.
https://news.uci.edu/2017/01/05/uci-introduces-irain-smartphone-app/
• January 6, 2017, How much rain did we get? Ask the iRain app created at UCI, Los Angeles Times.
http://www.latimes.com/socal/daily-pilot/news/tn-dpt-me-uci-rain-app-20170106-story.html
• November 28, 2016, iRain: New Mobile App Supports Water Management Around the World, US Army Corps of Engineers News.
http://www.iwr.usace.army.mil/Media/News-Stories/Article/1013319/irain-new-mobile-app-supports-water-management-around-the-world
• November 8, 2016, iRain: new mobile App to promote citizen-science and support water management, UNESCO News.
http://en.unesco.org/news/irain-new-mobile-app-promote-citizen-science-and-support-water-management
• June 29, 2015, Postdoc Represents Samueli School at National Event, UCI Samueli School of Engineering.
http://engineering.uci.edu/news/2015/6/postdoc-represents-samueli-school-national-event
Appointments
Postdoctoral Scholar, Department of Civil & Environmental Engineering, Center for Hydrometeorology and Remote Sensing (CHRS), University of California, Irvine 2014-2016
Research Abstract
Dr. Nguyen’s research focuses on flood modeling and forecasting, and development of various global precipitation products observed by satellites including: event-based large scale rainfall systems using object-oriented approaches (CONNECT http://connect.eng.uci.edu/ ); integrated system for satellite precipitation and information (RainSphere http://rainsphere.eng.uci.edu/ ); real-time high-resolution satellite and crowdsourced rainfall observations for hydrologic and natural disaster management applications (iRain http://irain.eng.uci.edu/ ), and on-demand data processing system for CHRS’s satellite precipitation products (DataPortal http://chrsdata.eng.uci.edu/ ).
His most recent research focuses on the development of a dataset known as Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Dynamic Infrared Rain Rate (PDIR-Now) near-real-time precipitation. This dataset provides hourly, quasi-global, infrared-based precipitation estimates at 0.04° × 0.04° spatial resolution with a short latency (15–60 min). It is intended to supersede the PERSIANN–Cloud Classification System (PERSIANN-CCS) dataset previously produced as the near-real-time product of the PERSIANN family. Dr. Nguyen’s work on the PDIR algorithm has been published in two peer-reviewed articles in prestigious journals such as the Bulletin of American Meteorological Society (BAMS) and the Journal of Hydrometeorology.
"PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset" Journal of Hydrometeorology 21(12) pp. 2893–2906 2020
Authors: Nguyen, P., M.Ombadi, V.A. Gorooh, E. J. Shearer, M. Sadeghi, S.Sorooshian, KL Hsu, D. Bolvin, and M. F. Ralph.
This article is included in the 12th International Precipitation Conference (IPC12) Special Collection https://journals.ametsoc.org/view/journals/hydr/21/12/jhm-d-20-0177.1.xml
"PERSIANN Dynamic Infrared-Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation" BAMS-D-19-0118 2020
Authors: Nguyen, P., EJ Shearer, M Ombadi, V. Gorooh, KL Hsu, S. Sorooshian, WS Logan, M. Ralph, BAMS,. https://doi.org/10.1175/BAMS-D-19-0118.1 https://journals.ametsoc.org/view/journals/bams/101/3/bams-d-19-0118.1.
Current and recent research projects include NASA, NOAA, NSF, DOE, ARO, CADWR, CISESS, UNESCO, and World Bank.
His most recent research focuses on the development of a dataset known as Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Dynamic Infrared Rain Rate (PDIR-Now) near-real-time precipitation. This dataset provides hourly, quasi-global, infrared-based precipitation estimates at 0.04° × 0.04° spatial resolution with a short latency (15–60 min). It is intended to supersede the PERSIANN–Cloud Classification System (PERSIANN-CCS) dataset previously produced as the near-real-time product of the PERSIANN family. Dr. Nguyen’s work on the PDIR algorithm has been published in two peer-reviewed articles in prestigious journals such as the Bulletin of American Meteorological Society (BAMS) and the Journal of Hydrometeorology.
"PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset" Journal of Hydrometeorology 21(12) pp. 2893–2906 2020
Authors: Nguyen, P., M.Ombadi, V.A. Gorooh, E. J. Shearer, M. Sadeghi, S.Sorooshian, KL Hsu, D. Bolvin, and M. F. Ralph.
This article is included in the 12th International Precipitation Conference (IPC12) Special Collection https://journals.ametsoc.org/view/journals/hydr/21/12/jhm-d-20-0177.1.xml
"PERSIANN Dynamic Infrared-Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation" BAMS-D-19-0118 2020
Authors: Nguyen, P., EJ Shearer, M Ombadi, V. Gorooh, KL Hsu, S. Sorooshian, WS Logan, M. Ralph, BAMS,. https://doi.org/10.1175/BAMS-D-19-0118.1 https://journals.ametsoc.org/view/journals/bams/101/3/bams-d-19-0118.1.
Current and recent research projects include NASA, NOAA, NSF, DOE, ARO, CADWR, CISESS, UNESCO, and World Bank.
Awards and Honors
• WCRP/GCOS (World Climate Research Programme/Global Climate Observing System) Data Prize 2019
• Outstanding and Pioneer Educator Award, Orange County Engineering Council (OCEC), 2019
• Chancellor’s Club for Excellence Fellowship Award, University of California, Irvine 2014
• Outstanding and Pioneer Educator Award, Orange County Engineering Council (OCEC), 2019
• Chancellor’s Club for Excellence Fellowship Award, University of California, Irvine 2014
Short Biography
Professor Phu Nguyen’s academic training and professional career spans three continents.
His training began with B.S. studies in Civil Engineering (Hydraulics – Water supply & Drainage) at Bach Khoa University – Hochiminh City, Vietnam (Thesis: Calculating and Designing the construction of Eakao Reservoir in Daklak, Vietnam)
Upon completion of his B.S. degree Phu Nguyen worked as a technician on the Education Capacity Enhancement Project of the World Bank Program (2003) and technician on the CPWF CRESMIL (Coastal Resource Management for Improved Livelihoods) Project: Managing Water and land resources for sustainable livelihoods at the interface between fresh and saline water environments at two coastal sites in the Mekong River Delta (Vietnam) and Gangetic Delta (Bangladesh), International Rice Research Institute (IRRI) Program (2003-2006).
In 2006 Dr. Nguyen was awarded a fellowship from the Australian government to study for his M.S degree (2008) in Applied Science (Water Resources Management), at the University of Melbourne, Australia (Thesis: Using a numerical model to assessing the relationship of an arid zone unconfined groundwater table with the deeper artesian aquifer in the Great Artesian Basin, Australia.) In 2008 Dr. Phu worked as a field technician on the Ecological Outcomes of Flow Regimes in the Murray-Darling Basin Project for the Australian National Water Commission.
During his Ph.D. studies at the University of California, Irvine, Dr. Nguyen’s faculty advisor was the distinguished hydrologist Professor Soroosh Sorooshian, Ph.D, NAE and took his courses in Hydrology, which is an introduction to precipitation/runoff relationship and watershed modeling, statistical methods and flood frequency analysis; and Analysis of Hydrologic Systems that included the topics of Hydrologic Modeling, Systems Optimization, Non-linear systems, model calibration, neural networks and the application of systems theory in hydrologic, land surface, and biogeochemical modeling.
Under Professor Sorooshian’s direction Phu Nguyen worked on the development of databases using machine learning algorithms and the application of remote sensing for precipitation estimation in hydrology and water resources management.
His training began with B.S. studies in Civil Engineering (Hydraulics – Water supply & Drainage) at Bach Khoa University – Hochiminh City, Vietnam (Thesis: Calculating and Designing the construction of Eakao Reservoir in Daklak, Vietnam)
Upon completion of his B.S. degree Phu Nguyen worked as a technician on the Education Capacity Enhancement Project of the World Bank Program (2003) and technician on the CPWF CRESMIL (Coastal Resource Management for Improved Livelihoods) Project: Managing Water and land resources for sustainable livelihoods at the interface between fresh and saline water environments at two coastal sites in the Mekong River Delta (Vietnam) and Gangetic Delta (Bangladesh), International Rice Research Institute (IRRI) Program (2003-2006).
In 2006 Dr. Nguyen was awarded a fellowship from the Australian government to study for his M.S degree (2008) in Applied Science (Water Resources Management), at the University of Melbourne, Australia (Thesis: Using a numerical model to assessing the relationship of an arid zone unconfined groundwater table with the deeper artesian aquifer in the Great Artesian Basin, Australia.) In 2008 Dr. Phu worked as a field technician on the Ecological Outcomes of Flow Regimes in the Murray-Darling Basin Project for the Australian National Water Commission.
During his Ph.D. studies at the University of California, Irvine, Dr. Nguyen’s faculty advisor was the distinguished hydrologist Professor Soroosh Sorooshian, Ph.D, NAE and took his courses in Hydrology, which is an introduction to precipitation/runoff relationship and watershed modeling, statistical methods and flood frequency analysis; and Analysis of Hydrologic Systems that included the topics of Hydrologic Modeling, Systems Optimization, Non-linear systems, model calibration, neural networks and the application of systems theory in hydrologic, land surface, and biogeochemical modeling.
Under Professor Sorooshian’s direction Phu Nguyen worked on the development of databases using machine learning algorithms and the application of remote sensing for precipitation estimation in hydrology and water resources management.
Publications
PUBLICATIONS
Peer Reviewed Journal Papers (Author & Co-Author of 52 Publications (total citations= 1461 with H-index=19 per Google scholar)
52. MALLAKPOUR, I., SADEGHI, M., MOSAFFA, H., ASANJAN, A. A., SADEGH, M., NGUYEN, P., SOROOSHIAN, S., & AGHAKOUCHAK. 2022. Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets, Weather and Climate Extremes, 36, 126569.
51. LI, S., DAO, V., KUMAR, M., NGUYEN, P., & BANERJEE, T. 2022. Mapping the wildland-urban interface in California using remote sensing data, Sci Rep 12, 5789.
50. GOROOH, V. A., ASANJAN, A. A., NGUYEN, P., HSU, K., & SOROOSHIAN, S. 2022. Deep Neural Network High Spatiotemporal Resolution Precipitation Estimation (Deep-STEP) Using Passive Microwave and Infrared Data, Journal of Hydrometeorology, 23(4), 597-617.
49. HILARIO, M. R. A., CROSBIE, E., SHOOK, M., REID, J. S., CAMBALIZA, M. O. L., SIMPAS, J. B. B., ZIEMBA, L., DIGANGI, J. P., DISKIN, G. S., NGUYEN, P., TURK, F. J., WINSTEAD, E., ROBINSON, C. E., WANG, J., ZHANG, J., WANG, Y., YOON, S., FLYNN, J., ALVAREZ, S. L., BEHRANGI, A., & SOROOSHIAN, A. 2021. Measurement report: Long-range transport patterns into the tropical northwest Pacific during the CAMP2Ex aircraft campaign: chemical composition, size distributions, and the impact of convection, Atmos. Chem. Phys., 21, 3777–3802.
48. ZHANG, Y., YE, A., NGUYEN, P., ANALUI, B., SOROOSHIAN, S. & HSU, K. 2021. Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. Remote Sensing, 13, 3061.
47. ZHANG, Y., YE, A., NGUYEN, P., ANALUI, B., SOROOSHIAN, S. & HSU, K. 2021. New insights into error decomposition for precipitation products. Geophysical Research Letters, e2021GL094092.
46. SADEGHI, M., SHEARER, E. J., MOSAFFA, H., GOROOH, V. A., NAEINI, M. R., HAYATBINI, N., KATIRAIE-BOROUJERDY, P.-S., ANALUI, B., NGUYEN, P. & SOROOSHIAN, S. 2021. Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major floods across Iran (Spring 2019). Journal of Hydrology, 600, 126569.
45. SADEGHI, M., NGUYEN, P., NAEINI, M. R., HSU, K., BRAITHWAITE, D. & SOROOSHIAN, S. 2021. PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies. Scientific Data, 8, 1-11.
44. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K.-L. 2021. Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin. Journal of Hydrometeorology, 22, 217-229.
43. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K.-L. 2021. How much information on precipitation is contained in satellite infrared imagery? Atmospheric Research, 256, 105578.
42. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K.-L. 2021. Complexity of hydrologic basins: A chaotic dynamics perspective. Journal of Hydrology, 597, 126222.
41. MA, L., DADASHAZAR, H., HILARIO, M. R. A., CAMBALIZA, M. O., LORENZO, G. R., SIMPAS, J. B., NGUYEN, P. & SOROOSHIAN, A. 2021. Contrasting wet deposition composition between three diverse islands and coastal North American sites. Atmospheric Environment, 244, 117919.
40. SHEARER, E. J., NGUYEN, P., SELLARS, S. L., ANALUI, B., KAWZENUK, B., HSU, K. L. & SOROOSHIAN, S. 2020. Examination of global midlatitude atmospheric river lifecycles using an object-oriented methodology. Journal of Geophysical Research: Atmospheres, 125, e2020JD033425.
39. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K. L. 2020. Evaluation of methods for causal discovery in hydrometeorological systems. Water Resources Research, 56, e2020WR027251.
38. NGUYEN, P., SHEARER, E. J., OMBADI, M., GOROOH, V. A., HSU, K., SOROOSHIAN, S., LOGAN, W. S. & RALPH, M. 2020. PERSIANN Dynamic Infrared–Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation. Bulletin of the American Meteorological Society, 101, E286-E302.
37. NGUYEN, P., OMBADI, M., GOROOH, V. A., SHEARER, E. J., SADEGHI, M., SOROOSHIAN, S., HSU, K., BOLVIN, D. & RALPH, M. F. 2020. PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset. Journal of hydrometeorology, 21, 2893-2906.
36. MOSAFFA, H., SHIRVANI, A., KHALILI, D., NGUYEN, P. & SOROOSHIAN, S. 2020. Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran. International Journal of Remote Sensing, 41, 6484-6502.
35. MOSAFFA, H., SADEGHI, M., HAYATBINI, N., AFZALI GOROOH, V., AKBARI ASANJAN, A., NGUYEN, P. & SOROOSHIAN, S. 2020. Spatiotemporal variations of precipitation over Iran using the high-resolution and nearly four decades satellite-based PERSIANN-CDR dataset. Remote Sensing, 12, 1584.
34. HILARIO, M. R., CROSBIE, E., SHOOK, M., REID, J. S., CAMBALIZA, M. O. L., SIMPAS, J., ZIEMBA, L. D., DIGANGI, J. P., DISKIN, G. S. & NGUYEN, P. 2020. Long-range transport patterns into the tropical northwest Pacific during the CAMP 2 Ex aircraft campaign: chemical composition, size distributions, and the impact of convection. Atmospheric Chemistry and Physics Discussions, 2020, 1-42.
33. FOUFOULA-GEORGIOU, E., GUILLOTEAU, C., NGUYEN, P., AGHAKOUCHAK, A., HSU, K.-L., BUSALACCHI, A., TURK, F. J., PETERS-LIDARD, C., OKI, T. & DUAN, Q. 2020. Advancing precipitation estimation, prediction, and impact studies. Bulletin of the American Meteorological Society, 101, E1584-E1592.
32. BOSMA, C., WRIGHT, D., NGUYEN, P., KOSSIN, J., HERNDON, D. & SHEPHERD, J. 2020. Extreme Rainfall Multiplier: An Intuitive Metric for Tropical Cyclone Hazards. Bulletin of the American Meteorological Society, 101, 215-220.
31. AFZALI GOROOH, V., KALIA, S., NGUYEN, P., HSU, K.-L., SOROOSHIAN, S., GANGULY, S. & NEMANI, R. R. 2020. Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. Remote Sensing, 12, 316.
30. SADEGHI, M., NGUYEN, P., HSU, K. & SOROOSHIAN, S. 2020. Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information. Environmental Modelling & Software, 134, 104856.
29. SELLARS, S. L., GRAHAM, J., MISHIN, D., MARCUS, K., ALTINTAS, I., DEFANTI, T., SMARR, L., CRITTENDEN, C., WUERTHWEIN, F. & TATAR, J. The evolution of bits and bottlenecks in a scientific workflow trying to keep up with technology: Accelerating 4D image segmentation applied to NaSa data. 2019 15th International Conference on eScience (eScience), 2019. IEEE, 77-85.
28. SADEGHI, M., ASANJAN, A. A., FARIDZAD, M., NGUYEN, P., HSU, K., SOROOSHIAN, S. & BRAITHWAITE, D. 2019. PERSIANN-CNN: Precipitation estimation from remotely sensed information using artificial neural networks–convolutional neural networks. Journal of Hydrometeorology, 20, 2273-2289.
27. SADEGHI, M., AKBARI ASANJAN, A., FARIDZAD, M., AFZALI GOROOH, V., NGUYEN, P., HSU, K., SOROOSHIAN, S. & BRAITHWAITE, D. 2019. Evaluation of PERSIANN-CDR constructed using GPCP V2. 2 and V2. 3 and a comparison with TRMM 3B42 V7 and CPC unified gauge-based analysis in global scale. Remote Sensing, 11, 2755.
26. RUTZ, J. J., SHIELDS, C. A., LORA, J. M., PAYNE, A. E., GUAN, B., ULLRICH, P., O’BRIEN, T., LEUNG, L. R., RALPH, F. M. & WEHNER, M. 2019. The atmospheric river tracking method intercomparison project (ARTMIP): quantifying uncertainties in atmospheric river climatology. Journal of Geophysical Research: Atmospheres, 124, 13777-13802.
25. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K. L. 2018. Developing intensity-duration-frequency (IDF) curves from satellite-based precipitation: Methodology and evaluation. Water Resources Research, 54, 7752-7766.
24. AZADIAGHDAM, M., BRAUN, R. A., EDWARDS, E.-L., BAÑAGA, P. A., CRUZ, M. T., BETITO, G., CAMBALIZA, M. O., DADASHAZAR, H., LORENZO, G. R. & MA, L. 2019. On the nature of sea salt aerosol at a coastal megacity: Insights from Manila, Philippines in Southeast Asia. Atmospheric Environment, 216, 116922.
23. HAYATBINI, N., KONG, B., HSU, K.-L., NGUYEN, P., SOROOSHIAN, S., STEPHENS, G., FOWLKES, C., NEMANI, R. & GANGULY, S. 2019. Conditional generative adversarial networks (cGANs) for near real-time precipitation estimation from multispectral GOES-16 satellite imageries—PERSIANN-cGAN. Remote Sensing, 11, 2193.
22. TRAN, H., NGUYEN, P., OMBADI, M., HSU, K., SOROOSHIAN, S. & ANDREADIS, K. 2019. Improving hydrologic modeling using cloud-free MODIS flood maps. Journal of Hydrometeorology, 20, 2203-2214.
21. NGUYEN, P., SHEARER, E., TRAN, H., OMBADI, M., HAYATBINI, N., PALACIOS, T., HUYNH, P., BRAITHWAITE, D., UPDEGRAFF, G. & HSU, K. 2019. The CHRS data portal, an easily accessible public repository for PERSIANN global satellite precipitation data, Sci. Data, 6, 1–10.
20. TRAN, H., NGUYEN, P., OMBADI, M., HSU, K.-L., SOROOSHIAN, S. & QING, X. 2019. A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017. Scientific data, 6, 1-13.
19. NGUYEN, P., OMBADI, M., SOROOSHIAN, S., HSU, K., AGHAKOUCHAK, A., BRAITHWAITE, D., ASHOURI, H. & THORSTENSEN, A. R. 2018. The PERSIANN family of global satellite precipitation data: A review and evaluation of products. Hydrology and Earth System Sciences, 22, 5801-5816.
18. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K. 2017. Assessment of Developing Intensity Duration Frequency Curves using Satellite Observations (Case Study). Water Resources Research, 29, 271-281.
17. MARDI, A. H., KHAGHANI, A., MACDONALD, A. B., NGUYEN, P., KARIMI, N., HEIDARY, P., KARIMI, N., SAEMIAN, P., SEHATKASHANI, S. & TAJRISHY, M. 2018. The Lake Urmia environmental disaster in Iran: A look at aerosol pollution. Science of The Total Environment, 633, 42-49.
16. SHIELDS, C. A., RUTZ, J. J., LEUNG, L.-Y., RALPH, F. M., WEHNER, M., KAWZENUK, B., LORA, J. M., MCCLENNY, E., OSBORNE, T. & PAYNE, A. E. 2018. Atmospheric river tracking method intercomparison project (ARTMIP): project goals and experimental design. Geoscientific Model Development, 11, 2455-2474.
15. SELLARS, S., KAWZENUK, B., NGUYEN, P., RALPH, F. & SOROOSHIAN, S. 2017. Genesis, pathways, and terminations of intense global water vapor transport in association with large-scale climate patterns. Geophysical Research Letters, 44, 12,465-12,475.
14. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., HSU, K., AGHAKOUCHAK, A., ASHOURI, H., TRAN, H. & BRAITHWAITE, D. 2018. Global precipitation trends across spatial scales using satellite observations. Bulletin of the American Meteorological Society, 99, 689-697.
13. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., ZHU, Q., TRAN, H., ASHOURI, H., MIAO, C., HSU, K. & GAO, X. 2017. Evaluation of CMIP5 model precipitation using PERSIANN-CDR. Journal of Hydrometeorology, 18, 2313-2330.
12. NGUYEN, P., SOROOSHIAN, S., THORSTENSEN, A., TRAN, H., HUYNH, P., PHAM, T., ASHOURI, H., HSU, K., AGHAKOUCHAK, A. & BRAITHWAITE, D. 2017. Exploring trends through “RainSphere”: Research data transformed into public knowledge. Bulletin of the American Meteorological Society, 98, 653-658.
11. HAN, Q., NGUYEN, P., EGUCHI, R. T., HSU, K.-L. & VENKATASUBRAMANIAN, N. Toward an integrated approach to localizing failures in community water networks. 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017. IEEE, 1250-1260.
10. THORSTENSEN, A., NGUYEN, P., HSU, K. & SOROOSHIAN, S. 2016. Using densely distributed soil moisture observations for calibration of a hydrologic model. Journal of Hydrometeorology, 17, 571-590.
9. THORSTENSEN, A., NGUYEN, P., HSU, K. & SOROOSHIAN, S. 2016. Assessment of assimilating SMOS soil moisture information into a distributed hydrologic model. European Space Agency,(Special Publication) ESA SP.
8. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., HSU, K., AGHAKOUCHAK, A., SANDERS, B., KOREN, V., CUI, Z. & SMITH, M. 2016. A high resolution coupled hydrologic–hydraulic model (HiResFlood-UCI) for flash flood modeling. Journal of Hydrology, 541, 401-420.
7. ASHOURI, H., NGUYEN, P., THORSTENSEN, A., HSU, K.-L., SOROOSHIAN, S. & BRAITHWAITE, D. 2016. Assessing the efficacy of high-resolution satellite-based PERSIANN-CDR precipitation product in simulating streamflow. Journal of Hydrometeorology, 17, 2061-2076.
6. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., HSU, K. & AGHAKOUCHAK, A. 2015. Flood forecasting and inundation mapping using HiResFlood-UCI and near-real-time satellite precipitation data: The 2008 Iowa flood. Journal of Hydrometeorology, 16, 1171-1183.
5. SOROOSHIAN, S., NGUYEN, P., SELLARS, S., BRAITHWAITE, D., AGHAKOUCHAK, A. & HSU, K. 2014. Satellite-based remote sensing estimation of precipitation for early warning systems. Extreme natural hazards, disaster risks and societal implications, 1, 99.
4. NGUYEN, P., SELLARS, S., THORSTENSEN, A., TAO, Y., ASHOURI, H., BRAITHWAITE, D., HSU, K. & SOROOSHIAN, S. 2014. Satellites track precipitation of super typhoon Haiyan. Eos, Transactions American Geophysical Union, 95, 133-135.
3. SELLARS, S., NGUYEN, P., CHU, W., GAO, X., HSU, K.-L. & SOROOSHIAN, S. 2013. Computational Earth science: Big data transformed into insight. Eos, Transactions American Geophysical Union, 94, 277-278.
2. PHONG, N., TUONG, T. P., PHU, N., NANG, N. & HOANH, C. T. 2013. Quantifying source and dynamics of acidic pollution in a coastal acid sulphate soil area. Water, Air, & Soil Pollution, 224, 1-18.
1. HSU, K., SELLARS, S., NGUYEN, P., BRAITHWAITE, D. & CHU, W. 2013. G-WADI PERSIANN-CCS GeoServer for extreme precipitation event monitoring. Sciences in Cold and Arid Regions, 5, 6-15.
Other Publications
2. BUYTAERT, W., W. LOGAN, X. LI, A. MISHRA, A. AMANI, K. VERBIST, Y. NISHIMURA, R. GIFT, H. THULTRUP, J. RAMASAMY, P. NGUYEN, AND K. HSU. G-WADI: The way forward. UNESCO publication 2017.
http://unesdoc.unesco.org/images/0025/002594/259497e.pdf
1. SOROOSHIAN, S., P. NGUYEN, M. OMBADI, E.J. SHEARER, P. HUYNH, T. PHAM, H. TRAN, A. THORSTENSEN, H. ASHOURI, K. HSU, A. AGHAKOUCHAK, AND D. BRAITHWAITE. Understanding Global Rainfall using CHRS RainSphere. GEWEX News November 2017.
Book Chapter
2. NGUYEN P., ASHOURI H., OMBADI M., HAYATBINI N., HSU KL., SOROOSHIAN S. (2020) PERSIANN-CDR for Hydrology and Hydro-climatic Applications. In: LEVIZZANI V., KIDD C., KIRSCHBAUM D., KUMMEROW C., NAKAMURA K., TURK F. (eds) Satellite Precipitation Measurement. Advances in Global Change Research, vol 69. Springer, Cham.https://doi.org/10.1007/978-3-030-35798-6_26
1. SOROOSHIAN, S., NGUYEN, P., SELLARS, S., BRAITHWAITE, D., AGHAKOUCHAK, A., & HSU, K. (2014). Satellite-based remote sensing estimation of precipitation for early warning systems. In A. ISMAIL-ZADEH, J. URRUTIA FUCUGAUCHI, A. KIJKO, K. TAKEUCHI, & I. ZALIAPIN (Eds.), Extreme Natural Hazards, Disaster Risks and Societal Implications (Special Publications of the International Union of Geodesy and Geophysics, pp. 99-112). Cambridge: Cambridge University Press. doi:10.1017/CBO9781139523905.011
Peer Reviewed Journal Papers (Author & Co-Author of 52 Publications (total citations= 1461 with H-index=19 per Google scholar)
52. MALLAKPOUR, I., SADEGHI, M., MOSAFFA, H., ASANJAN, A. A., SADEGH, M., NGUYEN, P., SOROOSHIAN, S., & AGHAKOUCHAK. 2022. Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets, Weather and Climate Extremes, 36, 126569.
51. LI, S., DAO, V., KUMAR, M., NGUYEN, P., & BANERJEE, T. 2022. Mapping the wildland-urban interface in California using remote sensing data, Sci Rep 12, 5789.
50. GOROOH, V. A., ASANJAN, A. A., NGUYEN, P., HSU, K., & SOROOSHIAN, S. 2022. Deep Neural Network High Spatiotemporal Resolution Precipitation Estimation (Deep-STEP) Using Passive Microwave and Infrared Data, Journal of Hydrometeorology, 23(4), 597-617.
49. HILARIO, M. R. A., CROSBIE, E., SHOOK, M., REID, J. S., CAMBALIZA, M. O. L., SIMPAS, J. B. B., ZIEMBA, L., DIGANGI, J. P., DISKIN, G. S., NGUYEN, P., TURK, F. J., WINSTEAD, E., ROBINSON, C. E., WANG, J., ZHANG, J., WANG, Y., YOON, S., FLYNN, J., ALVAREZ, S. L., BEHRANGI, A., & SOROOSHIAN, A. 2021. Measurement report: Long-range transport patterns into the tropical northwest Pacific during the CAMP2Ex aircraft campaign: chemical composition, size distributions, and the impact of convection, Atmos. Chem. Phys., 21, 3777–3802.
48. ZHANG, Y., YE, A., NGUYEN, P., ANALUI, B., SOROOSHIAN, S. & HSU, K. 2021. Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. Remote Sensing, 13, 3061.
47. ZHANG, Y., YE, A., NGUYEN, P., ANALUI, B., SOROOSHIAN, S. & HSU, K. 2021. New insights into error decomposition for precipitation products. Geophysical Research Letters, e2021GL094092.
46. SADEGHI, M., SHEARER, E. J., MOSAFFA, H., GOROOH, V. A., NAEINI, M. R., HAYATBINI, N., KATIRAIE-BOROUJERDY, P.-S., ANALUI, B., NGUYEN, P. & SOROOSHIAN, S. 2021. Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major floods across Iran (Spring 2019). Journal of Hydrology, 600, 126569.
45. SADEGHI, M., NGUYEN, P., NAEINI, M. R., HSU, K., BRAITHWAITE, D. & SOROOSHIAN, S. 2021. PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies. Scientific Data, 8, 1-11.
44. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K.-L. 2021. Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin. Journal of Hydrometeorology, 22, 217-229.
43. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K.-L. 2021. How much information on precipitation is contained in satellite infrared imagery? Atmospheric Research, 256, 105578.
42. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K.-L. 2021. Complexity of hydrologic basins: A chaotic dynamics perspective. Journal of Hydrology, 597, 126222.
41. MA, L., DADASHAZAR, H., HILARIO, M. R. A., CAMBALIZA, M. O., LORENZO, G. R., SIMPAS, J. B., NGUYEN, P. & SOROOSHIAN, A. 2021. Contrasting wet deposition composition between three diverse islands and coastal North American sites. Atmospheric Environment, 244, 117919.
40. SHEARER, E. J., NGUYEN, P., SELLARS, S. L., ANALUI, B., KAWZENUK, B., HSU, K. L. & SOROOSHIAN, S. 2020. Examination of global midlatitude atmospheric river lifecycles using an object-oriented methodology. Journal of Geophysical Research: Atmospheres, 125, e2020JD033425.
39. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K. L. 2020. Evaluation of methods for causal discovery in hydrometeorological systems. Water Resources Research, 56, e2020WR027251.
38. NGUYEN, P., SHEARER, E. J., OMBADI, M., GOROOH, V. A., HSU, K., SOROOSHIAN, S., LOGAN, W. S. & RALPH, M. 2020. PERSIANN Dynamic Infrared–Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation. Bulletin of the American Meteorological Society, 101, E286-E302.
37. NGUYEN, P., OMBADI, M., GOROOH, V. A., SHEARER, E. J., SADEGHI, M., SOROOSHIAN, S., HSU, K., BOLVIN, D. & RALPH, M. F. 2020. PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset. Journal of hydrometeorology, 21, 2893-2906.
36. MOSAFFA, H., SHIRVANI, A., KHALILI, D., NGUYEN, P. & SOROOSHIAN, S. 2020. Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran. International Journal of Remote Sensing, 41, 6484-6502.
35. MOSAFFA, H., SADEGHI, M., HAYATBINI, N., AFZALI GOROOH, V., AKBARI ASANJAN, A., NGUYEN, P. & SOROOSHIAN, S. 2020. Spatiotemporal variations of precipitation over Iran using the high-resolution and nearly four decades satellite-based PERSIANN-CDR dataset. Remote Sensing, 12, 1584.
34. HILARIO, M. R., CROSBIE, E., SHOOK, M., REID, J. S., CAMBALIZA, M. O. L., SIMPAS, J., ZIEMBA, L. D., DIGANGI, J. P., DISKIN, G. S. & NGUYEN, P. 2020. Long-range transport patterns into the tropical northwest Pacific during the CAMP 2 Ex aircraft campaign: chemical composition, size distributions, and the impact of convection. Atmospheric Chemistry and Physics Discussions, 2020, 1-42.
33. FOUFOULA-GEORGIOU, E., GUILLOTEAU, C., NGUYEN, P., AGHAKOUCHAK, A., HSU, K.-L., BUSALACCHI, A., TURK, F. J., PETERS-LIDARD, C., OKI, T. & DUAN, Q. 2020. Advancing precipitation estimation, prediction, and impact studies. Bulletin of the American Meteorological Society, 101, E1584-E1592.
32. BOSMA, C., WRIGHT, D., NGUYEN, P., KOSSIN, J., HERNDON, D. & SHEPHERD, J. 2020. Extreme Rainfall Multiplier: An Intuitive Metric for Tropical Cyclone Hazards. Bulletin of the American Meteorological Society, 101, 215-220.
31. AFZALI GOROOH, V., KALIA, S., NGUYEN, P., HSU, K.-L., SOROOSHIAN, S., GANGULY, S. & NEMANI, R. R. 2020. Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. Remote Sensing, 12, 316.
30. SADEGHI, M., NGUYEN, P., HSU, K. & SOROOSHIAN, S. 2020. Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information. Environmental Modelling & Software, 134, 104856.
29. SELLARS, S. L., GRAHAM, J., MISHIN, D., MARCUS, K., ALTINTAS, I., DEFANTI, T., SMARR, L., CRITTENDEN, C., WUERTHWEIN, F. & TATAR, J. The evolution of bits and bottlenecks in a scientific workflow trying to keep up with technology: Accelerating 4D image segmentation applied to NaSa data. 2019 15th International Conference on eScience (eScience), 2019. IEEE, 77-85.
28. SADEGHI, M., ASANJAN, A. A., FARIDZAD, M., NGUYEN, P., HSU, K., SOROOSHIAN, S. & BRAITHWAITE, D. 2019. PERSIANN-CNN: Precipitation estimation from remotely sensed information using artificial neural networks–convolutional neural networks. Journal of Hydrometeorology, 20, 2273-2289.
27. SADEGHI, M., AKBARI ASANJAN, A., FARIDZAD, M., AFZALI GOROOH, V., NGUYEN, P., HSU, K., SOROOSHIAN, S. & BRAITHWAITE, D. 2019. Evaluation of PERSIANN-CDR constructed using GPCP V2. 2 and V2. 3 and a comparison with TRMM 3B42 V7 and CPC unified gauge-based analysis in global scale. Remote Sensing, 11, 2755.
26. RUTZ, J. J., SHIELDS, C. A., LORA, J. M., PAYNE, A. E., GUAN, B., ULLRICH, P., O’BRIEN, T., LEUNG, L. R., RALPH, F. M. & WEHNER, M. 2019. The atmospheric river tracking method intercomparison project (ARTMIP): quantifying uncertainties in atmospheric river climatology. Journal of Geophysical Research: Atmospheres, 124, 13777-13802.
25. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K. L. 2018. Developing intensity-duration-frequency (IDF) curves from satellite-based precipitation: Methodology and evaluation. Water Resources Research, 54, 7752-7766.
24. AZADIAGHDAM, M., BRAUN, R. A., EDWARDS, E.-L., BAÑAGA, P. A., CRUZ, M. T., BETITO, G., CAMBALIZA, M. O., DADASHAZAR, H., LORENZO, G. R. & MA, L. 2019. On the nature of sea salt aerosol at a coastal megacity: Insights from Manila, Philippines in Southeast Asia. Atmospheric Environment, 216, 116922.
23. HAYATBINI, N., KONG, B., HSU, K.-L., NGUYEN, P., SOROOSHIAN, S., STEPHENS, G., FOWLKES, C., NEMANI, R. & GANGULY, S. 2019. Conditional generative adversarial networks (cGANs) for near real-time precipitation estimation from multispectral GOES-16 satellite imageries—PERSIANN-cGAN. Remote Sensing, 11, 2193.
22. TRAN, H., NGUYEN, P., OMBADI, M., HSU, K., SOROOSHIAN, S. & ANDREADIS, K. 2019. Improving hydrologic modeling using cloud-free MODIS flood maps. Journal of Hydrometeorology, 20, 2203-2214.
21. NGUYEN, P., SHEARER, E., TRAN, H., OMBADI, M., HAYATBINI, N., PALACIOS, T., HUYNH, P., BRAITHWAITE, D., UPDEGRAFF, G. & HSU, K. 2019. The CHRS data portal, an easily accessible public repository for PERSIANN global satellite precipitation data, Sci. Data, 6, 1–10.
20. TRAN, H., NGUYEN, P., OMBADI, M., HSU, K.-L., SOROOSHIAN, S. & QING, X. 2019. A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017. Scientific data, 6, 1-13.
19. NGUYEN, P., OMBADI, M., SOROOSHIAN, S., HSU, K., AGHAKOUCHAK, A., BRAITHWAITE, D., ASHOURI, H. & THORSTENSEN, A. R. 2018. The PERSIANN family of global satellite precipitation data: A review and evaluation of products. Hydrology and Earth System Sciences, 22, 5801-5816.
18. OMBADI, M., NGUYEN, P., SOROOSHIAN, S. & HSU, K. 2017. Assessment of Developing Intensity Duration Frequency Curves using Satellite Observations (Case Study). Water Resources Research, 29, 271-281.
17. MARDI, A. H., KHAGHANI, A., MACDONALD, A. B., NGUYEN, P., KARIMI, N., HEIDARY, P., KARIMI, N., SAEMIAN, P., SEHATKASHANI, S. & TAJRISHY, M. 2018. The Lake Urmia environmental disaster in Iran: A look at aerosol pollution. Science of The Total Environment, 633, 42-49.
16. SHIELDS, C. A., RUTZ, J. J., LEUNG, L.-Y., RALPH, F. M., WEHNER, M., KAWZENUK, B., LORA, J. M., MCCLENNY, E., OSBORNE, T. & PAYNE, A. E. 2018. Atmospheric river tracking method intercomparison project (ARTMIP): project goals and experimental design. Geoscientific Model Development, 11, 2455-2474.
15. SELLARS, S., KAWZENUK, B., NGUYEN, P., RALPH, F. & SOROOSHIAN, S. 2017. Genesis, pathways, and terminations of intense global water vapor transport in association with large-scale climate patterns. Geophysical Research Letters, 44, 12,465-12,475.
14. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., HSU, K., AGHAKOUCHAK, A., ASHOURI, H., TRAN, H. & BRAITHWAITE, D. 2018. Global precipitation trends across spatial scales using satellite observations. Bulletin of the American Meteorological Society, 99, 689-697.
13. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., ZHU, Q., TRAN, H., ASHOURI, H., MIAO, C., HSU, K. & GAO, X. 2017. Evaluation of CMIP5 model precipitation using PERSIANN-CDR. Journal of Hydrometeorology, 18, 2313-2330.
12. NGUYEN, P., SOROOSHIAN, S., THORSTENSEN, A., TRAN, H., HUYNH, P., PHAM, T., ASHOURI, H., HSU, K., AGHAKOUCHAK, A. & BRAITHWAITE, D. 2017. Exploring trends through “RainSphere”: Research data transformed into public knowledge. Bulletin of the American Meteorological Society, 98, 653-658.
11. HAN, Q., NGUYEN, P., EGUCHI, R. T., HSU, K.-L. & VENKATASUBRAMANIAN, N. Toward an integrated approach to localizing failures in community water networks. 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017. IEEE, 1250-1260.
10. THORSTENSEN, A., NGUYEN, P., HSU, K. & SOROOSHIAN, S. 2016. Using densely distributed soil moisture observations for calibration of a hydrologic model. Journal of Hydrometeorology, 17, 571-590.
9. THORSTENSEN, A., NGUYEN, P., HSU, K. & SOROOSHIAN, S. 2016. Assessment of assimilating SMOS soil moisture information into a distributed hydrologic model. European Space Agency,(Special Publication) ESA SP.
8. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., HSU, K., AGHAKOUCHAK, A., SANDERS, B., KOREN, V., CUI, Z. & SMITH, M. 2016. A high resolution coupled hydrologic–hydraulic model (HiResFlood-UCI) for flash flood modeling. Journal of Hydrology, 541, 401-420.
7. ASHOURI, H., NGUYEN, P., THORSTENSEN, A., HSU, K.-L., SOROOSHIAN, S. & BRAITHWAITE, D. 2016. Assessing the efficacy of high-resolution satellite-based PERSIANN-CDR precipitation product in simulating streamflow. Journal of Hydrometeorology, 17, 2061-2076.
6. NGUYEN, P., THORSTENSEN, A., SOROOSHIAN, S., HSU, K. & AGHAKOUCHAK, A. 2015. Flood forecasting and inundation mapping using HiResFlood-UCI and near-real-time satellite precipitation data: The 2008 Iowa flood. Journal of Hydrometeorology, 16, 1171-1183.
5. SOROOSHIAN, S., NGUYEN, P., SELLARS, S., BRAITHWAITE, D., AGHAKOUCHAK, A. & HSU, K. 2014. Satellite-based remote sensing estimation of precipitation for early warning systems. Extreme natural hazards, disaster risks and societal implications, 1, 99.
4. NGUYEN, P., SELLARS, S., THORSTENSEN, A., TAO, Y., ASHOURI, H., BRAITHWAITE, D., HSU, K. & SOROOSHIAN, S. 2014. Satellites track precipitation of super typhoon Haiyan. Eos, Transactions American Geophysical Union, 95, 133-135.
3. SELLARS, S., NGUYEN, P., CHU, W., GAO, X., HSU, K.-L. & SOROOSHIAN, S. 2013. Computational Earth science: Big data transformed into insight. Eos, Transactions American Geophysical Union, 94, 277-278.
2. PHONG, N., TUONG, T. P., PHU, N., NANG, N. & HOANH, C. T. 2013. Quantifying source and dynamics of acidic pollution in a coastal acid sulphate soil area. Water, Air, & Soil Pollution, 224, 1-18.
1. HSU, K., SELLARS, S., NGUYEN, P., BRAITHWAITE, D. & CHU, W. 2013. G-WADI PERSIANN-CCS GeoServer for extreme precipitation event monitoring. Sciences in Cold and Arid Regions, 5, 6-15.
Other Publications
2. BUYTAERT, W., W. LOGAN, X. LI, A. MISHRA, A. AMANI, K. VERBIST, Y. NISHIMURA, R. GIFT, H. THULTRUP, J. RAMASAMY, P. NGUYEN, AND K. HSU. G-WADI: The way forward. UNESCO publication 2017.
http://unesdoc.unesco.org/images/0025/002594/259497e.pdf
1. SOROOSHIAN, S., P. NGUYEN, M. OMBADI, E.J. SHEARER, P. HUYNH, T. PHAM, H. TRAN, A. THORSTENSEN, H. ASHOURI, K. HSU, A. AGHAKOUCHAK, AND D. BRAITHWAITE. Understanding Global Rainfall using CHRS RainSphere. GEWEX News November 2017.
Book Chapter
2. NGUYEN P., ASHOURI H., OMBADI M., HAYATBINI N., HSU KL., SOROOSHIAN S. (2020) PERSIANN-CDR for Hydrology and Hydro-climatic Applications. In: LEVIZZANI V., KIDD C., KIRSCHBAUM D., KUMMEROW C., NAKAMURA K., TURK F. (eds) Satellite Precipitation Measurement. Advances in Global Change Research, vol 69. Springer, Cham.https://doi.org/10.1007/978-3-030-35798-6_26
1. SOROOSHIAN, S., NGUYEN, P., SELLARS, S., BRAITHWAITE, D., AGHAKOUCHAK, A., & HSU, K. (2014). Satellite-based remote sensing estimation of precipitation for early warning systems. In A. ISMAIL-ZADEH, J. URRUTIA FUCUGAUCHI, A. KIJKO, K. TAKEUCHI, & I. ZALIAPIN (Eds.), Extreme Natural Hazards, Disaster Risks and Societal Implications (Special Publications of the International Union of Geodesy and Geophysics, pp. 99-112). Cambridge: Cambridge University Press. doi:10.1017/CBO9781139523905.011
Professional Societies
American Geophysical Union (AGU).
American Meteorological Society (AMS).
American Society of Civil Engineers (ASCE).
Community Surface Dynamics Modeling System (CSDMS)
Institute of Electrical and Electronics Engineers (IEEE)
Other Experience
Lecturer, Water Management Department
Nong Lam University, Hochiminh City, Vietnam 2003—2010
Nong Lam University, Hochiminh City, Vietnam 2003—2010
Technician: CPWF CRESMIL (Coastal Resource Management for Improved Livelihoods) Project: Managing Water and land resources for sustainable livelihoods at the interface between fresh and saline water environments at two coastal sites in the Mekong River Delta (Vietnam) and Gangetic Delta (Bangladesh)
International Rice Research Institute (IRRI) Program 2003—2006
International Rice Research Institute (IRRI) Program 2003—2006
Technician: Education Capacity Enhancement Project
World Bank Program 2003—2006
World Bank Program 2003—2006
Field technician, Ecological Outcomes of Flow Regimes in the Murray-Darling Basin Project
Australian National Water Commission 2008
Australian National Water Commission 2008
Research Centers
HSSoE Center for Hydrometeorology and Remote Sensing (CHRS)
Link to this profile
https://faculty.uci.edu/profile/?facultyId=6970
https://faculty.uci.edu/profile/?facultyId=6970
Last updated
06/30/2022
06/30/2022