Soroosh Sorooshian

Picture of Soroosh Sorooshian
Distinguished Professor, Civil & Environmental Engineering
The Henry Samueli School of Engineering
Henry Samueli Chair in Engineering
The Henry Samueli School of Engineering
Distinguished Professor, Earth System Science
School of Physical Sciences
Director, Center for Hydrometeorology & Remote Sensing (CHRS)
The Henry Samueli School of Engineering
Ph.D., UCLA, 1978, Engineering - Water Resources and Hydrologic Systems Analysis
Engr., UCLA, 1977, Systems Engineering (Engineer Degree)
M.S., UCLA, 1973, Operations Research
B.S., Cal Poly, San Luis Obispo, 1971, Mechanical Engineering
Phone: (949) 824-8825
Fax: (949) 824-8831
Email: soroosh@uci.edu
University of California, Irvine
Dept. of Civil & Environmental Engineering
E/4130 Engineering Gateway
OFFICE: EH 5308
Mail Code: 2175
Irvine, CA 92697
Research Interests
Hydrology, hydrometeorology and hydroclimate modeling, remote sensing, water resources management
Academic Distinctions
Academy Memberships
U.S. National Academy of Engineering (NAE) 2003
International Academy of Astronautics (IAA) 2007
TWAS - The academy of sciences for developing countries, Fellow, 2010
European Academy of Sciences, Earth and Environmental Sciences Division (EurASc) – Fellow, 2023
Chinese Academy of Sciences (CAS) Foreign Member, 2023

Teaching Awards and Recognitions
Engineering Student Council (ESC) UCI Civil & Environmental Engineering Professor of the Year, 2010-2011
Orange County Engineering Council (OCEC) Distinguished Engineering Educator Award (2009)
Outstanding Professor, Henry Samueli School of Engineering (selected by Anthology and the Senior Class of 2009)
American Society of Civil Engineers (ASCE) Orange County Branch 2007-2008 Distinguished Engineering Educator

Other Honors and Awards
Doctor Honoris Causa, Universite de Montpellier 2023
Hagler Fellow, University of Texas College Park TX, 2023
Foreign member, Chinese Academy of Sciences (CAS) 2023
Distinguished Visiting Professor, Tsinghua University, China 2024-2027
Honorary Professorship, Hainan University, China, 2023
American Society of Civil Engineers -Environmental & Water Resources Institute (ASCE-EWRI) Seminal Paper 2023 Award for Seminal Paper “Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration,” Journal of Hydrologic Engineering, Volume 4, Issue 2, 1999.
Honorary Member, American Meteorological Society (AMS) 2022
Hydrological Sciences Medalist, American Meteorological Society (AMS) 2021
Lifetime Achievement Award, Institute of Electrical and Electronics Engineers (IEEE) Systems, Man, and Cybernetics (SMC) Society 2018
Ven Te Chow Award, 2017 American Society of Civil Engineers (ASCE) – “For his pioneering contributions to hydrologic science and water resources systems engineering, including hydrometeorology, hydroclimate studies and application of remote sensing with special focus on the hydrologic cycle and water resources issues.”
Chinese Academy of Sciences (CAS) Einstein Professor award, 2014
Robert E Horton Medalist, American Geophysical Union (AGU), 2013
American Society of Civil Engineers (ASCE) Life member Award, 2013
UCLA CEE Distinguished Alumnus of the Year Award 2013
Eagleson lectureship, Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI), 2012
4th Prince Sultan Bin Abdulaziz International Prize for Water, Resources Management & Protection Branch category award (2010)
Honorary professorship, Beijing Normal University (2010)
Walter Orr Roberts Lecturer in Interdisciplinary Sciences Award, American Meteorological Society, 2009
UNESCO Great Man-made River Prize, 2007 awarded to UCI Center for Hydrometeorology and Remote Sensing (CHRS) and NSF STC SAHRA (Sustainability of semi-Arid Hydrologic and Riparian Areas)
Fellow, Japan Society for the Promotion of Science (JSPS) Award, 2006, 1998, 1989
Robert E. Horton Memorial Lectureship, American Meteorological Society, 2006
William Nordberg Memorial Lectureship, NASA Goddard Scientific Colloquium, 2004
Group Honor Award for Excellence, U.S. Department of Agriculture, 2001

Fellow, International Union of Geodesy and Geophysics (IUGG), 2019
Fellow, American Association for the Advancement of Science (AAAS), 1997
Fellow, American Meteorological Society (AMS), 1995
Fellow, American Geophysical Union (AGU), 1994
Fellow, International Water Resources Association (IWRA), 2001
Life Member, Phi Kappa Phi, 1988
Life Fellow, Indian Association of Hydrologists, Roorkee, India

Hearings and Testimonies
Testimony for the hearing before the National Ocean Policy Study of the Committee on Commerce, Science, and Transportation, U.S. Senate on: Authorizations for the National Oceanic and Atmospheric Administration's Atmospheric and Satellite Programs, Chaired by Senator Kerry of Massachusetts, May 19, 1987.

Testimony on the “Potential Impacts of the El Nino and the Implications for Water Management Decisions in the U.S. Southwest” to the Subcommittee on Water and Power of the U.S. House of Representatives Committee on Resources, Washington, D.C., October 30, 1997.
Appointments
Current Professional Activities:

EDITORIAL
1999-present: Editorial Board, Scientia Iranica: International Journal of Science and Technology
2020-present Member, Editorial Board Remote Sensing
2020-present Member, Editorial Board Geography and Sustainability

COMMITTEE and PANEL ASSIGNMENTS

INTERNATIONAL
2004-Present: Member, Executive Committee of G-WADI UNESCO

2006-Present: Member, U.S. National Committee for the International Hydrological Programme (IHP UNESCO)

2013-Present: Member, Independent Expert Committee (IEC) in the field of Engineering, The World Academy of Sciences (TWAS);

2018-2027 Foreign Expert, 111 program “project: Evolution Mechanism of Hydrology and Water Resources and Adaptation Strategies in a Changing Environment” ,Wuhan University, China

NATIONAL
2002-present: Emeritus Member, NOAA Science Advisory Board

2002-present: Member, External Advisory Committee of Cooperative Remote-sensing Science and Technology Center (CREST)

2011-Present: Member, MAPP task force, NOAA

2012-present: Member, Advisory Board, Center for Climate Sciences, Jet Propulsion Laboratory (JPL)

2014-Present: Member-at-Large, Section on Atmospheric & Hydrospheric Sciences (AAAS)

2015-Present: Chair, Rosenberg International Forum on Water Policy, University of California, Division of Agriculture and Natural Resources, California Institute for Water Resources (CIWR)

2016 Participant, Second national Earth Observations Assessment (EOA 2016), White House Office of Science & Technology Policy (OSTP), through the U.S. Group on Earth Observations Subcommittee of the Committee on Environment, Natural Resources, and Sustainability

2018-Present: Senior Fellow, Advisory Council, California Council on Science and Technology (CCST)

2020-2023 Member, Hydrologic Research Awards committee, AMS

Recent Professional Activities
INTERNATIONAL
2013-2018: Member, Joint Scientific Committee (JSC) of the World Climate Research Programme (WCRP)

1999-2008: Chair, GEWEX Scientific Steering Group, WCRP Joint Scientific Committee

2006-2008: Member, Scientific Committee of the Ettore Majorana Foundation and Centre for Scientific Culture (EMFCSC)

NATIONAL
American Geophysical Union (AGU)
2015-2018: Member, Board of Directors, American Geophysical Union (AGU)
2004-2008: Chair, Public Affairs Committee (COPA)

2008-2013: Member, Advisory Board, Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)

Department of Energy (U.S. DOE)
2006-2010: Chairman, Climate Change Science Program Product Development Advisory Committee

Los Alamos National Laboratory (LANL)
2006-2011 Member, LANL Earth and Environmental Science (EES) Division Review Committee

National Academy of Engineering (NAE)
2006-2009: Special Fields and Interdisciplinary Engineering Peer Committee
2015-2016: Chair, National Academy of Engineering (NAE) Section 12
2020: Member, Nomination Committee

The National Academies - National Research Council (NRC)
2007: Member, Water Science and Technology Board
2007-2009: Member, Space Studies Board
2007-2018: Member, Beckman Center Advisory Board
2016-2017: Member, Steering Committee, decadal survey for Earth Science and Applications from Space (ESAS2017), National Academy of Sciences (NAS)

2003-2010: Member, Executive Committee National Science Foundation (NSF-STC) Sustainability of semi-Arid Hydrology and Riparian Areas (SAHRA)

Pacific Northwest Hydrologic Observatory (PNWHO)
2005-2009: Member, Science Advisory Board

National Water Research Institute (NWRI)
2004-2015: Member, Research Advisory Board

US Department of Energy (US DOE),
2006-2008: Chairman, Climate Change Science Program Product Development Advisory Committee

External Examining & Assessment Panels
2008: Member, evaluation committee Institute of Observational Research for Global Change (IORGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC)

2009: Member, Review Panel, National Severe Storm Laboratory (NSSL), University of Oklahoma, Norman, OK

2009: Member, Review Panel, Desert Research Institute, Division of Hydrologic Services,NV

2009: Member, Review Panel, St. Cloud University, MN, Dept. of Earth and Atmospheric Sciences

2010: Member, Review Panel, University of Colorado at Boulder, Cooperative Institute in Environmental Science (CIRES)

2010: Member, Review Panel, University of New Mexico, Water Resources Program

2011: Member, Review Panel, EPFL ENAC School, Lausanne Switzerland

2012: Member, Site visit team, NSF CISE Expeditions program at University of Minnesota

2013: Member, Review Panel, DK proposal application to the Board of the Austrian Science Fund (FWF), Vienna, Austria

2013: Member, Expert Review Panel on Water and Green Growth (WGG) joint research project of the Ministry of Land, Infrastructure, and Transport of the Republic of Korea (MOLIT), Korea Water Resources Corporation (K-water), and the World Water Council (WWC). Korea

2014: Member, AAAS Review Panel, CI-WATER, Utah-Wyoming NSF EPSCoR RII Track-2 project

2014: Member, Review Panel, Colorado School of Mines

2015: Member, Review Panel, Institute of Earth Sciences and Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan

2015: Member, NOAA Review Panel, National Severe Storm Laboratory (NSSL), University of Oklahoma, Norman, OK

2017: Member, Review Panel, DK proposal application to the Board of the Austrian Science Fund (FWF), Vienna, Austria

2018: Member, External Review committee, UCLA Sustainable LA Grand Challenge (SLAGC)

2019: Member, independent review team for the Evaluation of the UNESCO International Centre for Water Hazard and Risk Management (ICHARM),Tsukuba, Japan, Category 2 Centre

2019: Member, external review panel, NSF EPSCoR site visit, University of Vermont

2022: Member, Expert Panel, Canada Foundation for Innovation's (CFI) merit-review process for the 2023 Major Science Initiatives (MSI) Fund competition

2022: Member, external review panel, Colorado School of Mines

Professor Sorooshian is the Past-President of AGU’s Hydrology Section; former editor of AGU’s Water Resources Research; Emeritus Member, NOAA Science Advisory Board; and Past Member, AMS Council. He has provided Expert Witness Testimonies to both U.S. Senate and House Committees and served on numerous advisory committees, including those of NRC, NASA, NOAA, NSF, EPA, and UNESCO.

Professor Sorooshian has served as the Present and Past Member and Chair of over 30 other advisory and review committees and boards for NASA, NOAA, DOE, EPA, NSF, National Labs, UNESCO, WMO, and professional societies. National Research Council (NRC) service over the past 15 years includes member of 7 NRC committees and Chair of GEWEX Panel.

Professor Sorooshian has been an invited and keynote speaker for professional, academic, national and international agencies at 180+ events. He has been an organizer, host, chair/co-chair, session convener /co-convener, panelist for 35+ conferences, seminars and workshops.
Research Abstract
Dr. Sorooshian's research focuses on surface hydrology, primarily in the area of rainfall-runoff modeling. He has devoted much of his effort to model identification and calibration issues and has developed special estimation criteria to account for the uncertainties of calibration data. Other research interests include the application of remote sensing data for characterization of hydrologic parameters and fluxes and the implication of climate variability and change in water resources. He also consults on problems related to surface hydrology and flood forecasting.

In 2007, the UNESCO Great Man-made River Prize was awarded to his research group at the Center for Hydrometorology & Remote Sensing (CHRS) and co-recipient U of AZ center SAHRA (Sustainability of semi-Arid Hydrologic and Riparian Areas. Professor Sorooshian was the founding Director of both research centers.

RESEARCH ACTIVITIES
CHRS is actively engaged in research. Current and recent research projects include NASA, NOAA, NSF, DOE, ARO, CA DWR, US State Department, UNESCO, and World Bank
Publications
Author and co-author of over 325 refereed journal and conference proceedings papers; ISI Citation h-index 85; Google Scholar Citation h-index 108.

Researcher ID:B-3753-2008; ORCID:orcid.org/0000-0001-7774-5113; Scopus Author ID: 7005052907



The complete list of publications is posted on the UCI HSSoE website:

http://www.eng.uci.edu/users/soroosh-sorooshian



CHRS is actively engaged in research and the publication of its findings. Papers published since the research group relocated to the University of California at Irvine (UCI) in July 2003:



REFEREED JOURNALS

Jin, J., X. Gao, and S. Sorooshian, “Impacts of Model Calibration on High-Latitude Land-Surface Processes: PILPS 2(e) calibration/validation experiments,” Global and Planetary Change, 38 (1-2): 73-80, doi: 10.1016/S0921-8181(03)00006-7, July 2003



Vrugt, J.A., H.V. Gupta, W. Bouten, and S. Sorooshian, “A Shuffled Complex Evolution Metropolis Algorithm for Optimization and Uncertainty Assessment of Hydrologic Model Parameters”, Water Resources Research 39 (8): Art. No. 1201, doi:10.1029/2002WR001642, Aug 1 2003



Yucel, I., W.J. Shuttleworth, X. Gao, and S. Sorooshian, “Short-Term Performance of the MM5 Model with Cloud Assimilation from Satellite Observations,” Monthly Weather Review 131(8): 1797-1810, doi: 10.1175//2565.1, Aug. 2003



Vrugt, J.A., H.V. Gupta, L.A. Bastidas, W. Bouten, and S. Sorooshian, “Effective and Efficient Algorithm for Multi-Objective Optimization of Hydrologic Models,” Water Resources Research 39(8): Art No. 1214, doi: 10.1029/2002WR001746, Aug 20 2003



Li, J., X. Gao, R.A. Maddox, S. Sorooshian, and K. Hsu, “A Numerical Investigation of Storm Structure and Evolution During the July 1999 Las Vegas Flash Flood,” Monthly Weather Review, 131(9): 2038-2059, doi: 10.1175/1525-7541(2003)004<0901:IOAPDO>2.0.CO;2, Sept 2003



Liu, Y., L.A. Bastidas, H.V. Gupta, and S. Sorooshian, “Impacts of a Parameterization Deficiency on Off-line and Coupled Land-Surface Model Simulations,” Journal of Hydrometeorology, 4 (5): 901-914, Oct. 2003



Gao X., S. Sorooshian, J. Li and J. Xu, “SST Data Improve Modeling of North American Monsoon

Rainfall,” EOS-AGU, 84(43): 457, Oct. 2003



Morin, E., Krjewski, WF, Goodrich, DC, Sorooshian, S., et al; “Estimating rainfall Intensities from Weather Radar Data: The Scale-Dependence Problem,” Journal of Hydrometeorology, 4 (5): 782-797, doi: 10.1175/1525-7541(2003)004<0782:ERIFWR>2.0.CO;2, Oct. 2003



Franz, K.J., H.C. Hartmann, S. Sorooshian, and R. Bales, “Verification of National Weather Service Ensemble Streamflow Predictions for Water Supply Forecasting in the Colorado River Basin,” Journal of Hydrometeorology, 4 (6): 1005-1118, doi: 10.1175/1525-7541(2003)004<1105:VONWSE>2.0.CO;2, Dec. 2003



Wagener T., H.V. Gupta, K. Carpenter, B. James, R. Vazquez, S. Sorooshian, J. Shuttleworth, “A Hydroarchive for the Free Exchange of Hydrological Software,” Hydrological Processes, 18(2): 3839-391, Feb. 15 2004



Moradkhani, H., K. Hsu, H.V. Gupta, and S. Sorooshian, “Improved Streamflow Forecasting Using Self-Organizing Radial Basis Function Artificial Neural Networks,” Journal of Hydrology, 295(1-4): 246-262, doi: 10.1016/j.jhydrol.2004.03.027, Aug. 10 2004



Xu, J., X. Gao, Q. Xiao and S. Sorooshian, “Investigate the Impacts of Assimilating Satellite Rainfall Estimates on Rainstorm Forecast over Southwest United States.,” Geophy. Res. Letters, 31(16): Art No. L16104 , doi: 10.1029/2004GL020120, Aug. 2004



Xu, J., X. Gao, S. Sorooshian, “Model Study of Soil-Moisture influence on precipitation seesaw in the southern United States ,” Tellus A-Dynamci Meteorology and Oceanography, 56(5): 514-519, doi: 10.1111/j.1600-0870.2004.00072.x, Oct. 2004



Xu, J., X. Gao, S. Sorooshian, J. Shuttleworth, and E. Small, “Soil moisture-precipitation feedback on the North American monsoon system in the MM5-OSU model”, Quarterly Journal of the Royal Meteorological Society, 130(603): 2873-2890 Part B, doi: 10.1256/qj.03.192, Oct. 2004



Pagano, T. C., D. C. Garen, and S. Sorooshian, “Evaluation of official Western US seasonal water supply outlooks, 1922-2002”. J. Hydrometeorol., 5(5): 896-909, doi: 10.1175/1525-7541(2004)005<0896:EOOWUS>2.0.CO;2, Oct. 2004



Ajami N.K., H.V. Gupta, T. Wagner, S. Sorooshian “Calibration of a Semi-Distributed Hydrologic Model for Streamflow Estimation along a River System”, Journal of Hydrology, 298(1-4): 112-135, doi: 10.1016/j.hydrol.2004.03.033, Oct. 2004



Xu, J. X. Gao, J. Shuttleworth, S. Sorooshian, and E. Small, “Model Climatology of the North American Monsoon Onset Period During 1980-2001,” Journal of Climate Research, 17(20): 3892-3906, doi .1175/1520-0442(2004)017<3892:MCOTNA>2.0.CO;2, Oct. 2004



Liu, Y.Q., H.V. Gupta, S. Sorooshian, L.A. Bastidas, and W.J.Shuttleworth, “Exploring Parameter Sensitivities of the Land Surface Using a Locally Coupled Land-Atmosphere Model” Journal of Geophysical Research – Atmospheres 109 (D21), Art. No. D21101, doi: 10.1029/2004JD004730, Nov. 2 2004



Li, J., X. Gao, R.A. Maddox, and S. Sorooshian,, “Model Study of Evolution and Diurnal Variations of Rainfall in North American Monsoon during June and July 2002,” Monthly Weather Review, 132(12): 2895-2915, doi: 10.1175/MWR2832.1, Dec. 2004



Hong, Y., K-L Hsu, S. Sorooshian, X. Gao, "Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System ," Journal of Applied Meteorology, 43(12): 1834-1852, doi: 10.1175/JAM2173.1, Dec. 2004



Yuan, H., S. L. Mullen, X. Gao, S. Sorooshian, J. Du, and H. H Juang, “Verification of probabilistic quantitative precipitation forecasts over the southwest United States during winter 2002-2003 by the RSM ensemble system, “ Monthly Weather Review, 133(1): 279-294, doi: 10.1175/MWR-2858.1, Jan. 2005



Morin, S., DC Goodrich, RA Maddox, X Gao, HV Gupta, S Sorooshian "Rainfall modeling for integrating radar information into hydrological model", Atmos. Sci. Letters, 6(1): 23-30, doi: 10.1002/asl.86, SI Jan-Mar 2005



Hogue, T., L. Bastidas, H.V.Gupta, S. Sorooshian, K. Mitchell, and W. Emmerich,, “Evaluation and transferability of the Noah land surface model in semiarid environments,” Journal of Hydrometeorology 6(1): 68-84, doi: 10.1175/JHM-402.1, Feb. 2005



Moradkhani, H., S. Sorooshian, H.V. Gupta, and P.R. Houser, “Dual State-Parameter Estimation of Hydrological Models Using Ensemble Kalman Filter, ” Journal of Advances in Water Resources, 28(2): 135-147, doi: 10.1016/j.advwatres.2004.09.002, Feb. 2005



Hong, Y., K. Hsu, S. Sorooshian, and X. Gao, “Self-organizing nonlinear output (SONO): a neural network suitable for cloud patch-based distributed rainfall estimation from remotely sensed information,” Water Resource Research, 41(3) Art. No. W03008, doi: 10.1029/2004WR003142, Mar. 8 2005



Hong, Y. K.-L. Hsu, S. Sorooshian, and X. Gao, “Improved Representation of Diurnal Variability of Rainfall Retrieved from the Tropical Rainfall Measurement Mission Microwave Image adjusted Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system, Journal of Geophysical Research-Atmospheres, 110(D6) Art. No. D06102, doi: 10.1029/2004JD005301, Mar. 17 2005



Liu, Y.Q., H.V. Gupta, S. Sorooshian, L.A. Bastidas, and W.J.Shuttleworth, "Constraining land surface and atmospheric parameters of a locally coupled model using observational data," Journal of Hydrometeorology, 6(2): 156-172, doi: 10.1175/JHM407.1, Apr. 2005



Sorooshian, S., R. Lawford, P. Try, W. Rossow, J. Roads, J. Polcher, G. Sommeria, R. Schiffer, “Water and energy cycles: investigating the links,” World Meteorological Organization Bulletin, 54(2): 58-64, Apr. 2005



Moradkhani, H., K.-L. Hsu, H.V. Gupta, and S. Sorooshian, “Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter,” Water Resources Research, 41(5) Art. No. W05012, doi: 10.1029/2004WR003604, May 17 2005



Shamir, E., B. Imam, H.V. Gupta, and S. Sorooshian, "Application of temporal streamflow descriptors in hydrologic model parameter estimation", Water Resources Research, 4(6), Art. No. W06021, doi: 10.1002/hyp.5676, June 29, 2005



Shamir, E., B. Imam, E. Morin, H.V. Gupta, S. Sorooshian, “The role of hydrograph indices in parameter estimation of rainfall-runoff models,” Hydrological Processes, 19(1): 2187-2207, doi: 10.1002/hyp.5676, July 2005



Morin, E., R. A. Maddox, D. Goodrich, S. Sorooshian, "Radar Z-R Relationship for Summer Monsoon Storms in Arizona," Weather and Forecasting 20 (4: 672-679, doi: 10.1175/WAF878.1, Aug. 2005



Yilmaz, K., T. S. Hogue, K. Hsu, S. Sorooshian, H. V. Gupta, and T. Wagener, “Intercomparison of Rain Gauge, Radar and Satellite-based Precipitation Estimates with Emphasis on Hydrologic Forecasting, ” Journal of Hydrometeorology, 6(4): 497–517, doi: 10.1175/JHM431.1, Aug. 2005



Yilmaz, K., H. Gupta, T.S. Hogue, K. Hsu, T. Wagener and S. Sorooshian, “Evaluating the utility of satellite-based precipitation estimates for runoff prediction in ungauged basins, Regional Hydrological Impacts of Climatic Change—Impact Assessment and Decision Making,” Hydrological Sciences Journal, IAHS Pub. 295, 273-282.



Li, J., X., Gao, R.A. Maddox, and S. Sorooshian, “ Sensitivity of North American Monsoon Rainfall to Multisource SSTs in MM5,” Monthly Weather Review, 133(10): 2922-2939, doi: 10.1175/MWR3011.1, Oct. 2005



Farid, A., D. Rautenkranz, D.C. Goodrich, S.E. Marsh, and S. Sorooshian, “Riparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees, Can. J. Remote Sensing, 32 (1): 15-18, Feb 2006



Jin J.M., N.L. Miller, S. Sorooshian, et al., "Relationship between atmospheric circulation and snowpack in the western USA," Hydrological Processes 20(4): 753-767, doi: 10.1002/hyp.6126, Mar. 15 2006



Hogue, T.S., H.V. Gupta, S.Sorooshian, "A 'User-Friendly' approach to parameter estimation in hydrologic models," Journal of Hydrology 320 (1-2): 202-217, doi: 10.1016/j.jhydrol.2005.07.009, Sp. Iss. Mar. 30 2006



Duan Q, J. Schaake, V. Andreassian, S. Franks, G. Goteti, H.V. Gupta, Y.M. Gusev, F. Habets, A. Hall, L. Hay, T. S. Hogue, M. Huang, G. Leavesley, X. Liang, O.N. Nasonova , J. Noilhan, L. Oudin, S. Sorooshian, T. Wagener, E.F. Wood, "Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops," Journal of Hydrology 320 (1-2): 3-17, doi: 10.1016/j.jhydrol.2005.07.031 Sp. Iss., Mar. 30 2006



Morin, E., D. Goodrich, R.A. Maddox, X. Gao, H. Gupta, S. Sorooshian, "Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response", Advances in Water Resources, 29(6): 843-860, doi: 10.1016/j.advwatres.2005.07.014, June 2006



Moradkhani H, K. Hsu, Y. Hong, S. Sorooshian, "Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting," Geophysical Research Letters 33(12) Art. No. L12107, doi: 10.1029/2006GL026855,, June 29 2006



Vrugt J.A., H.V.Gupta, S.C. Dekker, S. Sorooshian, T. Wagener, W. Bouten, "Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting Model," Journal of Hydrology, 325 (1-4): 288-307, doi: 10.1016/j.jhydrol.2005.10.041, June 30 2006



Farid, A., D.C. Goodrich, and S. Sorooshian, “Using Airborne Lidar to Discern Age Classes of Cottonwood Trees in a Riparian Area,” WJAF 21(3): 149-158, July 2006



Lawford R, M. Bosilovich, S. Eden, S. Benedict, C. Brown, S. Gruber, P. Houser, K. Hsu, J. Huang, W. Lau, T. Meyers, K. Mitchell, C. Peters-Lidard, J. Roads, M. Rodell, S. Sorooshian, D. Tarpley, S. Williams, “US contributions to the CEOP,” Bulletin of the American Meteorological Society 87(7): 927+, doi: 10.1175/BAMS-87-7-927, Jul 2006



Xu, J.J., Q. Xiao, X. Gao, and S. Sorooshian, “Influence of assimilating rainfall derived from WSR-88D radar on the rainstorm forecasts over the southwestern United States,” J. Geophys. Res. 11 (D13): Art. No. D13105, doi:10.1029/2005JD006650, July 8, 2006



Ajami, N., Q. Duan, S. Sorooshian, "Multimodel Combination Techniques for Analysis of Hydrological Simulations: Application to Distributed Model Intercomparison Project Results", Journal of Hydrometeorology, 7(4): 755–768, doi: 10.1175/JHM519.1, Aug. 2006



Hong, Y., K-L Hsu, H. Moradkhani, and S. Sorooshian, “Uncertainty Quantification of Satellite Precipitation Estimation and Monte Carlo Assessment of the Error Propagation into Hydrologic Response,” Water Resources Research , 4242 (8): Art. No. W08430 Aug. 12, 2006



Hogue, T. S., L. A. Bastidas, H. V. Gupta, and S. Sorooshian, “Evaluating model performance and parameter behavior for varying levels of land surface model complexity,” Water Resour. Res., 42(8): W08430, doi:10.1029/2005WR004440, Aug. 26, 2006



Bastidas, L.A., .T.S. Hogue, S. Sorooshian, H.V. Gupta, and W.J. Shuttleworth, "Parameter Sensitivity Analysis for Different Complexity Land-Surface Models Using Multi-Criteria Methods", Journal of Geophysical Research – Atmospheres, 111(D20): Art. No. D20101, doi:10.1029/2005JD006377, Oct. 17, 2006



Hong Y, YM Chiang, Y Liu, K-L Hsu , S Sorooshian, "Satellite-based precipitation estimation using watershed segmentation and growing hierarchical self-organizing map", International Journal of Remote Sensing,

Vol. 27(23-24): 5165-5184, doi: 10.1080/01431160600763428, Dec. 2006



Ajami, N. K., Q. Duan, and S. Sorooshian (2007), “An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction,” Water Resour. Res., 43 (1): Art. No. W01403, doi:10.1029/2005WR004745, Jan.. 9, 2007



Welles E, Sorooshian S, Carter G, and Olsen, B, “Hydrologic verification - A call for action and collaboration”, Bulletin of the American Meteorological Society (BAMS) 88 (4): 503+, doi: 10.1175/BAMS-88-4-503, April 2007



Yuan HL, Mullen SL, Gao XG, Sorooshian S., Du, J., and Juang, H-M H., “Short-range probabilistic quantitative precipitation forecasts over the southwest United States by the RSM ensemble system”, Monthly Weather Review 135 (5): 1685-1698, doi: 10.1175/MWR3373.1, May 2007



Gao X, Li J, and Sorooshian S, “Modeling intraseasonal features of 2004 North American monsoon precipitation”,

Journal of Climate 20 (9) 1882-1896 , doi: 10.1175/JCL14100.1, May 2007



Duan QY, Ajami NK, Gao XG, and Sorooshian, S., “Multi-model ensemble hydrologic prediction using Bayesian model averaging ”, Advances in Water Resources 30 (5): 1371-1386, doi: 10.1016/j.advwatres.2006.11.014, May 2007



Hong, Y., D. Gochis, J-T Chieng, K-L Hsu, and S. Sorooshian, “Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network, J. of Hydrometeor., 8(3): 469-482, DOI:10.1175/JHM574.1, Jun. 2007



Chiang, YM, KL Hsu, FJ Chang, Y Hong, and S Sorooshian, "Merging multiple precipitation sources for flash flood forecasting", J. Hydrology, 340(3-4): 183-196, doi: 10.1016/j.jhydrol.2007.04.007, July 15 2007



Li, J., X., Gao, and S. Sorooshian, “Modeling and Analysis of the Variability of the Water Cycle in the Upper Rio Grande Basin at High Resolution”, J. Hydrometeor., 18(4): 805-824, doi: 10.1175/JHM602.1, Aug. 2007



Yuan H., X. Gao, S. L. Mullen, S. Sorooshian, J. Du, and H-M H. Juang, "Calibration of Probabilistic Quantitative Precipitation Forecasts with an Artificial Neural Network", Weather and Forecasting Vol. 22(6): 1287–1303, doi: 10.1175/2007WAF2006114.1, Dec. 2007



Farid A, D.C. Goodrich, R. Bryant, and S. Sorooshian, "Using airborne lidar to predict Leaf Area Index in cottonwood trees and refine riparian water-use estimates, Journal of Arid Environments, 72 (1): 1-15, doi: 10.1016/j.jaridenv.2007.04.010 , Jan. 2008



Park, G.H., X. Gao, S. Sorooshian, “Estimation of surface longwave radiation components from ground-based historical net radiation and weather data,” J. of Geo. Research, Vol 113(D14): D04207, doi:10.1029/2007JD008903, Feb. 22, 2008



Li, J., X. Gao, and S. Sorooshian, “Model performance of downscaling 1999-2004 hydrometeorological fields to the Upper Rio Grande River basin using cloud-resolved scale resolution Monsoon”, J. of Hydrometeor., 9(4): 677-694, doi: 10.1175/2008JHM912.1, Aug. 2008



Li, J., X. Gao, and S. Sorooshian, W. Higgins, et. al, "Influence of Spatial Resolution on Diurnal Variability during the North American Monsoon" (JCLI 2022) 21(16): 3967-3988, doi: 10.1175/2008JCLI2022.1, Aug 2008



Franz, K. J., T. S. Hogue, and S. Sorooshian, “Operational Snow modeling: Addressing the challenges of an energy balance model for National Weather Service forecasts”, J. of Hydrology., 360(1-4): 48-66, doi: 10.1016/j.jhydrol.2008.07.013, Oct. 15, 2008



Franz, K. J., T. S. Hogue, and S. Sorooshian, “Snow model verification using ensemble prediction and operational benchmarks”, J. of Hydrometeor., 9(6): 1402-1415, doi: 10.1175/2008JHM995.1, 2008



Behrangi, A., B. Khakbaz, JA Vrugt, QY Duan, S. Sorooshian, "Comment on "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" by Bryan A. Tolson and Christine A. Shoemaker", Water Resources Research, 44(12): W12603, doi: 10.1029/2007WR006429, Dec. 20 2008



Hsu, K., H. Moradkhani, and S. Sorooshian (2009), A sequential Bayesian approach for hydrologic model selection and prediction, Water Resour. Res., 45, W00B12, doi:10.1029/2008WR006824, Jan. 22, 2009



Ajami, NK; Q. Duan, S. Sorooshian, " Reply to Comment by B. Renard et al. on "An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction'' Water Resources Research, 45, Art. No.: W03604, doi: 10.1029/2008WR007215, Mar 10 2009



Welles, E. and S. Sorooshian, "Scientific Verification of Deterministic River Stage Forecasts," J. of Hydrometeor., 10(2): 507–520, doi: 10.1175/2008JHM1022.1, Apr. 2009



Bae, H.K, B.H. Olson, K. Hsu, and S. Sorooshian, Identification and Application of Physical and Chemical Parameters to Predict Indicator Bacterial Concentration in a Small California Creek, Water and Environmental Research, 81(6): 633-640, doi: 10.2175/106143008X390843, June 2009



Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, R.J. Kuligowski, “Evaluating the Utility of Multispectral Information in Delineating the Areal Extent of Precipitation,” J. of Hydrometeor., 10(3): 684-700, doi: 10.1175/2009JHM1077.1, June 2009



Boushaki F. , K-L Hsu, S. Sorooshian, G-H Park, S. Mahani, and S.I. Wei., “Bias Adjustment of Satellite Precipitation Estimation using Ground-based Measurement; A Case Study Evaluation over the Southwestern United States.” J. of Hydrometeor., 10(5): 1231-1242, doi: 10.1175/2009JHM1099.1, Oct. 2009



Bellerby, Tim, K-L Hsu, S. Sorooshian, “LMODEL: A Satellite Precipitation Algorithm Using Cloud Development Modeling and Model Updating: Part 1: Model Development and Calibration”, J. of Hydrometeor., 10(5): 1081-1095, 10.1175/2009JHM1091.1, Oct. 2009



Bellerby, Tim, K-L Hsu, S. Sorooshian, “LMODEL: A Satellite Precipitation Algorithm Using Cloud Development Modeling and Model Updating: Part 2: Model Updating”, J. of Hydrometeor., 10(5): 1096-1108, doi: 10.1175/2009JHM1092.1, Oct 2009



Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, G.J. Huffman, R.J. Kuligowski, PERSIANN_MSA: A Precipitation Estimation Method from Satellite-based Multi-Spectral, Analysis, Journal of Hydrometeorology, 10(6): 1414-1429, doi: 10.1175/2009JHM1139.1, Dec. 2009.



Bae HK, B.H.Olson, K-L Hsu, and S. Sorooshian "Classification and regression tree (CART) analysis for indicator bacterial concentration prediction for a Californian coastal area", Water Science and Technology, 61(2): 545-553, doi: 10.2166/wst.2010.842, 2010



Behrangi, A, K-L Hsu, B. Imam, and S. Sorooshian, "Daytime Precipitation Estimation Using Bispectrial Cloud Classification System", Journal of Applied Meteorology and Climatology, IPWG Special Collection 49(5): 1015-1031, May 10, 2010



Chu, W., X. Gao and S. Sorooshian, “Improving the shuffled complex evolution scheme for optimization of complex nonlinear hydrological systems: Application to the calibration of the Sacramento soil-moisture accounting model”, Water Resources Research, 46, W09530, doi:10.1029/2010WR009224 Sep. 25, 2010



Behrangi, A., B. Imam, K. Hsu, S. Sorooshian, T.J. Bellerby, and G.J. Huffman, "REFAME: Rain Estimation using Forward Adjusted-advection of Microwave Estimates", Journal of Hydrometeorology, 11(6): 1305-1321, Dec. 2010



Kim, J-B., H-K. Bae, K-L. Hsu, and S. Sorooshian Self-Organizing Linear Output (SOLO) Approach for Managing Total Coliform Indicator Bacteria on California Beaches, J. of Coastal Research, Special Issue 64, 1063-1067, Part 2, 2011



AghaKouchak AA, A. Behrangi, S. Sorooshian, et al. "Evaluation of satellite-retrieved extreme precipitation rates across the central United States", Journal of Geophysical Research 116: D02115, doi: 10.1029/2010JD014741, Jan. 26 2011



Behrangi, A., B. Khakbaz, T.C. Jaw, A. AghaKouchak, K. Hsu, and S. Sorooshian, “Hydrologic Evaluation of Satellite Precipitation Products at Basin Scale”, Journal of Hydrology, (397): 225-237, Feb. 3, 2011



Chu. W., X. Gao, T. J. Phillips and S. Sorooshian, Consistency of spatial patterns of the daily precipitation field in the western United States and its application to precipitation disaggregation, Geophysical Research Letters, 38, L04403, doi:10.1029/2010GL046473, Feb. 23, 2011



Sorooshian, S. J. Li, K. Hsu, and X. Gao, 2011, “How significant is the impact of irrigation on local hydroclimate in California’s Central Valley? Comparison of model results with ground observation and remote-sensing data.” J. Geophs., Res-Atmospheres, 116: D06102, doi:10.1029/2010JD014775, Mar. 16, 2011



AghaKouchak A; N Nasrollahi, J Li, B. Imam, S Sorooshian, "Geometrical Characterization of Precipitation Patterns," Journal of Hydrology, 12(2): 274-285 DOI: 10.1175/2010JHM1298.1, Apr. 2011



Khakbaz, B., S. Sorooshian, et al., "Modification of the National Weather Service Distributed Hydrologic Model for subsurface water exchanges between grids", Water Resources Research, 47,W06524, doi:10.1029/2010WR009626, June 29 2011



Chu, W., X. Gao and S. Sorooshian, A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization, IEEE systems journal, 5(3): 362-373, doi: 10.1109/JSYST.2011.2158682, Sept. 2011



Chu Wei, C, G Xiaogang, S Sorooshian, “Handling boundary constraints for particle swarm optimization in high-dimensional search space," Information Sciences, 181(20): 4569-4581, doi:10.1016/j.ins.2010.11.030; Oct. 15 2011



Sorooshian S., A. AghaKouchak, P.Arkin, J. Eylander, E. Foufoula-Georgiou, R. Harmon, J. Hendrickx, B. Imam, R. Kuligowski, B. Skahill, G. Skofronick-Jackson,, "Advanced Concepts of Remote Sensing of Precipitation at Multiple Scales", Bulletin of the American Meteorological Society (BAMS), 92(10): 1353-1357, doi: 10.1175/2011BAMS3158.1, Oct. 2011



Sorooshian S., A. AghaKouchak, P.Arkin et al., "Advancing the Remote Sensing of Precipitation", Bulletin of the American Meteorological Society (BAMS), 92(10): 1271-1272, doi: 10.1175/BAMS-D-11-00116.1, Oct. 2011



Chu, W., X. Gao and S. Sorooshian, A new evolutionary search strategy for global optimization of high-dimensional Problems, Information Sciences, 181(22): 4909-4927, doi: 10.1016/j.ins.2011.06.024, Nov. 15 2011



Khakbaz, B, B. Imam, KL Hsu, S. Sorooshian, "From lumped to distributed via semi-distributed: Calibration strategies for semi-distributed hydrologic models ," Journal of Hydrology, 418, 61-77 doi: 10.1016/j.jhydrol.2009.02.021, Feb. 8 2012



Sorooshian, S., J. Li, K. Hsu, and X. Gao, “Influence of irrigation schemes used in regional climate models on evapotranspiration estimation: Results and comparative studies from California's Central Valley agricultural regions”. J. Geophys. Res.-Atmos., 117: D06107, doi: 10.1029/2011JD016978 , Mar. 29, 2012



Nasrollahi, Nasrin; A. AghaKouchak, J Li, XL Gao, KL Hsu, S Sorooshian, "Assessing the Impacts of Different WRF Precipitation Physics in Hurricane Simulations", Weather and Forecasting, 27(4) 1003-1016 DOI: 10.1175/WAF-D-10-05000.1, Aug 2012



Behrangi, A. S., Sorooshian, KL Hsu, "Summertime evaluation of REFAME over the Unites States for near real-time high resolution precipitation estimation", Journal of Hydrology, 456, 130-138, DOI: 10.1016/j.jhydrol.2012.06.033, Aug 16 2012



Hsu, KL; J. Li, S. Sorooshian, "To improve model soil moisture estimation in arid/semi-arid region using in situ and remote sensing information", Paddy and Water Environment, 10(3) 165-173 Special Issue: SI DOI: 10.1007/s10333-011-0308-9, Sep 2012



Xia, Qing, X. Gao, W. Chu, S. Sorooshian, “Estimation of daily cloud-free, snow-covered areas from MODIS based on variational interpolation”, Water Resources Research, 48, W09523, DOI: 10.1029/2011WR011072, Sep 18 2012



Zahraei, A., KL Hsu, S. Sorooshian , et.al, “Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach”, Journal of Atmospheric Research,118, 418-434, 10.1016/j.atmosres.2012.07.001 Nov 15, 2012



Moradkhani, H., C.M. Dechant, S. Sorooshian, “Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method", Water Resources Research, 48, W12520 DOI: 10.1029/2012WR012144, Dec 18 2012



Zahraei, A., K-L. Hsu, S. Sorooshian, J. J. Gourley, Y. Hong, and A. Behrangi, “Short-term quantitative precipitation forecasting using an object-based approach”, J. Hydrol. 483, 1–15, doi:10.1016/j.jhydrol.2012.09.052 , Mar. 13 2013



Katiraie-Boroujerdy, Pari-Sima, N. Nasrollahi, KL Hsu, S. Sorooshian, “Evaluation of satellite-based precipitation estimation over Iran”, Journal of Arid Environments 97, 205-219, DOI: 10.1016/j.jaridenv.2013.05.013, Oct 1, 2013



Nasrollahi,N., KL Hsu, S. Sorooshian, “An Artificial Neural Network model to reduce false alarms in satellite precipitation products using MODIS and CloudSat”, J, Hydrometeorology, 14:6, 1872-1883, JHM-D-0172, Dec. 2013



Smith, M., V Koren, ZY Zhang, F. Moreda, ZT Cui, B. Cosgrove, N. Mizukami, D. Kitzmiller, F. Ding, S. Reed, E. Anderson, J. Schaake, Y. Zhang, V. Andreassian, C. Perrin, L. Coron, A. Valery, B. Khakbaz, S. Sorooshian, A. Behrangi, B. Imam, KL Hsu, et.al. "The distributed model intercomparison project - Phase 2: Experiment design and summary results of the western basin experiments", Journal of Hydrology, 507,300-328, DOI: 10.1016/j.jhydrol.2013.08.040, Dec 12, 2013



Chang, F-J, YM Chiang, MJ Tsai, KL Hsu, S. Sorooshian, "Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information,” Journal of Hydrology, 508, 374-384, Jan 16, 2014



Lo Conti, F., KL Hsu,; LV Noto, S. Sorooshian, "Evaluation and comparison of satellite precipitation estimates with reference to a local area in the Mediterranean Sea", Atmospheric Research, 38,189-204, DOI: 10.1016/j.atmosres.2013.11.011, Mar 1, 2014



Nguyen, P., S. Sellars, A. Thorstensen, Y. Tao, H. Ashouri, D. Braithwaite, KL Hsu, and S. Sorooshian, "Satellites Track Precipitation of Super Typhoon Haiyan," EOS 22 April 2014



Pagano, TC., AW Wood, MH Ramos, HL Cloke, F Pappenberger, MP Clark, M Cranston, D Kavetski, T Mathevet, S Sorooshian, et al., “Challenges of Operational River Forecasts” Journal of Hydrometeorology, 15(4), 1692-1707, DOI: 10.1175/JHM-D-13-0188.1, Aug 2014



Sultana, R., K.-L. Hsu, J. Li, and S. Sorooshian, “Evaluating the Utah Energy Balance’s (UEB) Snow Model in the Noah Land-Surface Model”, Hydrol. Earth Syst. Sci., 18, 3553-3570, doi:10.5194/hess-18-3553-2014.



Ashouri, H., KL Hsu, S.Sorooshian, DK. Braithwaite, KR Knapp, LD. Cecil, BR. Nelson, OP. Prat, “PERSIANN-CDR: Daily Precipitation Climate Data Record from Multi-Satellite Observations for Hydrological and Climate Studies,” BAMS D13-00068, January 2015



Sorooshian, S., A. AghaKouchak, and J. Li (2014), "Influence of irrigation on land hydrological processes over California,” J. Geophys. Res. Atmos., 119, doi:10.1002/2014JD022232 2014



Pagano, TC, AW Wood, MH Ramos, HL Cloke, F Pappenberger, MP Clark, M Cranston, D Kavetski, T Mathevet, S Sorooshian, et al. "Challenges of Operational River Forecasting", Journal of Hydrometeorology, 15(4), 1692-1707, DOI:10.1175/JHM-D-13-0188.1, Aug 2014



Yang, T., X. Gao, SL Sellars, S. Sorooshian, "Improving the Multi-Objective Evolutionary Optimization Algorithm for Hydropower Reservoir Operations in the California Oroville-Thermalito Complex ", Environmental Modelling and Software, DOI:10.1016/j.envsoft.2014.11.016



Sellars, S., X. Gao, S. Sorooshian,"An Object-Oriented Approach to Investigate Impacts of Climate Oscillations on Precipitation: A Western United States Case Study.", Journal of Hydrometeorology, DOI: 10.1175/JHM-D-14-0101.1, 2015



Li, J., K. Hsu, A. Aghakouchak, S. Sorooshian, "An object-based approach for verification of precipitation estimation", Int. Journal of Remote Sensing, 36:2, 513-529, DOI:10.1080/01431161.2014.999170, Jan 2015



Jaw, T.J., K. Hsu, S. Sorooshian, “Evaluation for Moroccan Dynamically Downscaled Precipitation from GCM CHAM5 and Its Regional Hydrologic Response”, Journal of Hydrology: Regional Studies, EJRH-D-14-00001, DOI:10.1016/j.ejrh.2015.02.008



Nasrollahi, N.; A. AghaKouchak, Amir; L. Cheng, L Damberg, TJ Phillips, CY Miao, KL Hsu, S. Sorooshian, "How well do CMIP5 climate simulations replicate historical trends and patterns of meteorological droughts?" Water Resources Research 51(4),2847-2864, DOI: 10.1002/2014WR016318,2015



Miao, CY, H. Ashouri, KL Hsu, S. Sorooshian, QY Duan, "Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China", Journal of Hydrometeorology and Remote Sensing 16(3), 1387-1396 , DOI: 10.1175/JHM-D-14-0174.1, 2015



Nguyen, P., A. Thorstensen, S. Sorooshian, KL Hsu, A. AghaKouchak, "Flood forecasting and inundation mapping using HiResFlood-UCI and near real-time satellite precipitation data: the 2008 Iowa flood" Journal of Hydrometeorology 16(3) 1171-1183, doi: 10.1175/JHM-D-14-0212.1, 2015



Yang, T., X. Gao, S. Sellars, S. Sorooshian, “Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville-Thermalito complex”, Environmental Modelling & Software 69, 262-279, DOI: 10.1016/j.envsoft.2014.11.016,2015



Liu, H., S. Sorooshian, X. Gao, "Assessment of the Spatial and Seasonal Variation of Error-Intensity Relationship in Satellite Precipitation using an Adaptive Parametric Model" Journal of Hydrometeorology, 16(4) 1700-1716, DOI: 10.1175/JHM-D-14-0219.1, 2015



Serachi, S., KL Hsu, S. Sorooshian, “A Statistical Model for the Uncertainty Analysis of Satellite Precipitation Products”, Journal of Hydrometeorology 6(5) 2101-2117, DOI: 10.1175/JHM-D-15-0028.1,2015



Nguyen, P, A. Thorstensen, KL Hsu, S. Sorooshian, "A high resolution coupled hydrologic-hydraulic model (HiResFlood-UCI) for flash flood modeling", Journal of Hydrology HYDROL18995R2, doi:10.1016/j.jhydrol.2015.10.047, 2015



Thorstensen, A., KL Hsu, S. Sorooshian, "Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model", Journal of Hydrometeorology JHM-D-15-0071, 17(2) 571-590, DOI: 10.1175/JHM-D-15-0071.1,2016



Katiraie-Boroujerdy, P-S; N Nasrollahi, KL Hsu, S. Sorooshian, “Quantifying the reliability of four global datasets for drought monitoring over a semiarid region”, Theoretical and Applied Climatology, 123(1-2) 3870398, DOI: 10.1007/s00704-014-1360-3 , 2016



Li, J. , KL Hsu, A Aghakouchak, "Object-Based Assessment of Satellite Precipitation Products," Remote Sensing, 8(7), DOI: 10.3390/rs8070547, 2016



Ashouri, H.; S. Sorooshian; KLHsu; M.G. Bosilovich; J. Lee; M. Wehner; A. Collow, "Evaluation of NASA's MERRA Precipitation Product in Reproducing the Observed Trend and Distribution of Extreme Precipitation Events in the United States", Journal of Hydrometeorology, JHM-D-0097, 17(2) 692-711, DOI: 10.1175/JHM-D-15-0097.1, 2016



Tao, Y.; X.Gao; A. Ihler; S. Sorooshian, et al., "Deep Neural Networks for Precipitation Estimation from Remotely Sensed Information," 2016 Ieee Congress on Evolutionary Computation (Cec) pp.1349-1355



Yang, Z.; KL Hsu; S. Sorooshian; et al.,"Bias adjustment of satellite-based precipitation estimation using gauge observations: A case study in Chile," Journal of Geophysical Research-Atmospheres , 121(8):3790-3806 DOI: 10.1002/2015JD024540 APR 27 2016



Yang, T.; X., Gao, Xiaogang, S. Sorooshian, "Simulating California reservoir operation using the classification and regression-tree algorithm combined with a shuffled cross-validation scheme", Water Resources Research, 52(3) 1626-1651, DOI: 10.1002/2015WR017394, March 2016



Ashouri, H., P. Nguyen, A. Thorstensen, KL Hsu, S Sorooshian, D. Braithwaite, “Assessing the efficacy of High-Resolution Satellite-based PERSIANN-CDR Precipitation Product in Simulating Streamflow”, Journal of Hydrometeorology, JHM-D-15-0912, 2016



Nguyen P.; A. Thorstensen; S. Sorooshian; et al., "A high resolution coupled hydrologic-hydraulic model (HiResFlood-UCI) for flash flood modeling," Journal of Hydrology 541: 401-420 DOI:10.1016/j.jhydrol.2015.10.047 OCT 2016



Tao, Y., X. Gao, KL Hsu, S Sorooshian, A Ihler, "A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products," Journal of Hydrometeorology JHM-D-15-0075, 17(3) 931-945, DOI: 10.1175/JHM-D-15-0075.1, March 2016



Katiraie-Boroujerdy, PS; H.Ashouri; KL Hsu; S. Sorooshian, "Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR," Theoretical and Applied Climatology, 130(1-2): 249-260 DOI: 10.1007/s00704-016-1884-9 OCT 2017



Gado,T.A.; KL Hsu; S.Sorooshian, "Rainfall frequency analysis for ungauged sites using satellite precipitation products," Journal of Hydrology, 554: 646-655, DOI: 10.1016/j.jhydrol.2017.09.043 NOV 2017



Nguyen, P.; A. Thorstensen; S.Sorooshian; et al., "Precipitation Efficiency and Water Budget of Typhoon Fitow (2013): A Particle Trajectory Study," Journal of Hydrometeorology, 18(9): 2313-2330 DOI: 10.1175/JHM-D-16-0273.1 SEP 2017



Yang ,Z.; KL Hsu; S.Sorooshian, "Merging high-resolution satellite-based precipitation fields and point-scale rain gauge measurements-A case study in Chile," Journal of Geophysical Research-Atmospheres, 122(10): 5267-5284 DOI: 10.1002/2016JD026177 MAY 27 2017



Katiraie-Boroujerdy, P.S; A.A.Asanjan; KL Hsu; S.Sorooshian, "Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales," Atmospheric Research, 193: 36-49, DOI: 10.1016/j.atmosres.2017.04.005 SEP 1 2017



Nguyen, P., S Sorooshian, A Thorstensen, H Tran, P Huynh, T Pham, H Ashouri, KL Hsu, A Aghakouchak, D Braithwaite, “Exploring trends through “RainSphere”: Research data transformed into public knowledge”, BAMS, BAMS-D-16-0036 October 2016



Tao, Yumeng, X.Gao, A.Ihler, S.Sorooshian, and KL Hsu. "Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches", Journal of Hydrometeorology (JHM) JHM-D-16-0176



Yang, T., A. A. Asanjan, E. Welles, X. Gao, S. Sorooshian, and X. Liu (2017), “Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information”, Water Resour. Res., 53, doi: 10.1002/2017WR020482 2017



Liu, X.; T. Yang; KL Hsu; CM Liu; S. Sorooshian, "Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau," Hydrology and Earth System Sciences 21(1):169-181 DOI: 10.5194/hess-21-169-2017 JAN 10 2017



Karbalaee, N.; KL Hsu; S. Sorooshian, et al."Bias adjustment of infrared-based rainfall estimation using Passive Microwave satellite rainfall data," Journal of Geophysical Research-Atmospheres, 122(7): 3859-3876 DOI: 10.1002/2016JD026037, 2017



Nguyen, P.; A. Thorstensen, S. Sorooshian; KL Hsu, A. AghaKouchak, H. Ashouri; H.Tran, D.Braithwaite, "Global precipitation trends across spatial scales using satellite observations", AMS-D-17-0065 November 2017



Yang, T; A.A. Asanjan, M. Faridzad; N. Hayatbini, XG Gao, S. Sorooshian, "An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis," Sciences 418,302-316 DOI: 10.1016/j.ins.2017.08.003 Dec 2017



Tao, Y.; KL Hsu; A. Ihler, XG Gao, S. Sorooshian, “A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information,” Journal of Hydrometeorology, 19(2):393-408, DOI: 10.1175/JHM-D-17-0077.1 Feb 2018



Sun, Q; C.Miao, Chiyuan, Q. Duan, H Ashouri, S. Sorooshian, KL Hsu, "A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons," Reviews of Geophysics, 56(1):79-107 DOI: 10.1002/2017RG000574 Mar 2018



Nguyen, P.; A. Thorstensen, S. Sorooshian,et al."Global Precipitation Trends across Spatial Scales Using Satellite Observations", Bulletin of the American Meteorological Society 99(4):689-697 DOI: 10.1175/BAMS-D-17-0065.1 April 2018



Naeini, M.R., T.Yang, Tiantian; M. Sadegh, A. AghaKouckah, KL Hsu, S. Sorooshian, et al."Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework", Environmental Modelling & Software 104: 215-235 DOI: 10.1016/j.envsoft.2018.03.019 June 2018



Faridzad, M.; T. Yang, Tiantian; KL Hsu, S. Sorooshian, et al. "Rainfall frequency analysis for ungauged regions using remotely sensed precipitation information", Journal of Hydrology 563:123-142 DOI: 10.1016/j.jhydrol.2018.05.071 August 2018



Alharbi, R.; KL Hsu, S. Sorooshian, "Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia", Arabian Journal of Geosciences 11(17) DOI: 10.1007/s12517-018-3860-4 September 2018



Ombadi, M. P. Nguyen, S. Sorooshian, KL Hsu, “ Developing intensity-duration-frequency (IDF) curves from satellite-based precipitation: Methodology and evaluation, Water Resources Research, 54, https://doi.org/10.1029/2018WR022929 September 2018



Asanjan, A. A., T. Yang, KL Hsu, S Sorooshian, J. Lin, Q. Peng, “Short-term precipitation forecast based on the PERSIANN system and the Long Short-Term Memory (LSTM) deep learning algorithm”, Journal of Geophysical Research: Atmospheres, 123. https://doi.org/10.1029/2018JD028375 2018



Tran, H., P. Nguyen, S. Sorooshian, KL Hsu, “A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017,” Scientific Data, SDATA-18-00152B 2018



Nguyen, P., E.J. Shearer, H.Tran, M. Ombadi, N. Hayatbini, T.Palacios, P. Huynh, D. Braithwaite, G. Updegraff, KL Hsu, B. Kuligowski, W S. Logan, and S Sorooshian, "The CHRS Data Portal—an easily accessible public repository for PERSIANN global satellite precipitation data," Springer Nature SDATA-18-00369A 2018



Zhang, D.L.J. ; Q. Peng; DS. Wang; TT. Yang; S. Sorooshian; XF. Liu; JB Zhuang, "Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm", Journal of Hydrology 565 pp 720-736 DOI: 10.1016/j.jhydrol.2018.08.050 OCT 2018



Nguyen, P.; M.Ombadi; S. Sorooshian; KL. HSU; A. AghaKouchak; D. Braithwaite; H. Ashouri; A.R. Thorstensen; "The PERSIANN family of global satellite precipitation data: a review and evaluation of products,"

Hydrology and Earth System Sciences, DOI: 10.5194/HESS-22-5801-2018 2018



Nguyen, P.; M.Ombadi; S. Sorooshian; KL. HSU; A. AghaKouchak; D. Braithwaite; H. Ashouri; A.R. Thorstensen; "The PERSIANN family of global satellite precipitation data: a review and evaluation of products,"

Hydrology and Earth System Sciences, DOI: 10.5194/HESS-22-5801-2018 2018



Kasprzyk, J.R.; R.M. Smith; A.S.Stillwell; K.Madani; D.Ford; D.McKinney; S.Sorooshian, "Defining the Role of Water Resources Systems Analysis in a Changing Future," Journal of Water Resources Planning and Management, 144(12) DOI: 10.1061/(ASCE)WR.1943-5452.000101 DEC 2018



Pan, B.; KL Hsu; A AghaKouchak; S Sorooshian; W Higgin, "Precipitation Prediction Skill for West Coast United States - From Short to Extended Range, JCLI, 21(1) pp 161-182 DOI: 10.1175/JCLI-D-18-0355.1 Jan 2019



Tran H.; P. Nguyen; M. Ombadi, KL Hsu, S Sorooshian, Q. Xia, "A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017", Scientific Data Volume:6 DOI: 10.1038/sdata.2018.300 Jan 15 2019



Li, J., D. Yuan, Y Jiang, Y chen, KL Hsu, S. Sorooshian, "Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model,” Hydrology and earth system sciences, 23(3) pp 1505 -1532, doi: 10.5194/hess-23-1505-2019 March 2019



Hayatbini, N., et al, “Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS,’ Journal of Hydrometeorology, JHM-D-18-0197, DOI: 10.1175/JHM-D-18-0197.1 2019



Sellars S.., J. Graham; D.Mishin; K. Marcus; I. Altintas; T. DeFanti; L. Smarr; C. Crittenden; F. Wuerthwein; J.Tatar; P.Nguyen; E. Shearer; S. Sorooshian; and F.M. Ralph, "The Evolution Of Bits And Bottlenecks In A Scientific Workflow Trying To Keep Up With Technology: Accelerating 4D Image Segmentation Applied to NASA data," e-Science 2019 Special Issue



Tran, H.; P. Nguyen; M. Ombadi; KL Hsu; S. Sorooshian, K. Andreadis, "Improving hydrologic modeling using cloud-free MODIS flood maps," Journal of Hydrometeorology, JHM-D-19-0021 2019



Sadeghi, M., et al, “PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks - Convolutional Neural Networks”, Journal of Hydrometeorology, JHM-D-19-0110 2019



Nguyen, P., et al. "PERSIANN Dynamic Infrared-Rain rate model (PDIR) for high-resolution, real-time satellite precipitation estimation" BAMS 2019



Hayatbini, N; B. Kong, B; KL Hsu; P. Nguyen; S. Sorooshian; G Stephens; C. Fowlkes; R. Nemani; S. Ganguly, "Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries-PERSIANN-cGAN", Remote Sensing 11(19), DOI: 10.3390/rs11192193 Oct 2019



Gorooh, VA ; S Kalia; PNguyen; KL Hsu; S Sorooshian; S Ganguly; R R. Neman, "Deep neural network Cloud-Type Classification (DeepCTC) model for precipitation estimation using the new generation of multispectral geostationary satellite imagery", Remote Sensing (ISSN 2072-4292) , remotesensing-64452 January 2020



Sadeghi, M., AA Asanjan, M. Faridzad, VA Gorooh, P. Nguyen, K. Hsu, .S. Sorooshian, and D. Braithwaite. "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, no. 23 (2019): 2755.



Ombadi, M., P. Nguyen, S. Sorooshian, Evaluation of Methods for Causal Discovery in Hydrometeorological Systems

Water Resources Research [0043-1397] 56(7) https://doi.org/10.1029/2020WR027251 July 2020



Ombadi, M., P. Nguyen, S. Sorooshian, KL Hsu, "Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin"

Earth and Space Science Open Archive, Journal of Geophysical Research - Atmospheres https://doi.org/10.1002/essoar.10503429.1 2020



Mosaffa, H., A. Shirvani, D. Khalili, P. Nguyen, S. Sorooshian, "Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran"

International Journal of Remote Sensing, 41(17) Pages: 6484-6502 DOI: 10.1080/01431161.2020.1739352



Soroosh Sorooshian, S, VA Gorooh, N. Hayatbini, M. Ombadi, M. Sadeghi, P.Nguyen, and KL Hsu "Predictability of Hydrometeorological

Extremes and Climate Impacts on WaterResources in Semiarid Zones: Expectations and Reality," The Bridge 50(1) pp 33-42 Spring 2020



Katiraie-Boroujerdy, P-SS, MR Naeini, AA Asanjan, A.Chavoshian, KL Hsu and S. Sorooshian "Bias correction of satellite-based precipitation estimations using quantile mapping approach in different climate regions of Iran"

remotesensing-835354 Remote Sensing MDPI 2020



Rahnamay Naeini, M., T. Yang, A. Tavakoly, B. Analui, KL Hsu, S.Sorooshian, "A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing," Water DOI:10.3390/W12092373 Sep 2020



Shearer, E. J., Nguyen, P., Sellars, S. L., Analui, B., Kawzenuk, B., Hsu, K.-l., & Sorooshian, S., “Examination of global midlatitude atmospheric river lifecycles using an object-oriented methodology”, Journal of Geophysical Research: Atmospheres, 125, e2020JD033425. https://doi.org/10.1029/2020JD033425 Nov. 2020



Sadeghi, M., P. Nguyen, KL Hsu, S.Sorooshian, "Improving Near real-time precipitation estimation using a U-Net Convolutional neural network and Geographical information", Environmental Modelling and Software, DOI: 10.1016/J.ENVSOFT.2020.104856 Dec. 2020



Ombadi, Mohammed et al., “Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin”, JHM-D-20-0157 Journal of Hydrometeorology (JHM) DOI: 10.1175/JHM-D-20-0157.1 2020



Phu Nguyen P., M. Ombadi; V.A. Gorooh, E. Shearer, M. Sadeghi, S. Sorooshian, KL Hsu, D. Bolin, M.F. Ralph

"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



Sorooshian, S., "One man, one vision, 35 years in the making," Computer-Aided Civil and Infrastructure Engineering, 36(2) pg125-125 2021



Ombadi, M.; P. Nguyen, S. Sorooshian, KL Hsu, "Complexity of hydrologic basins: A chaotic dynamics perspective," Journal of Hydrology, Volume 597, Article Number126222, DOI10.1016/j.jhydrol.2021.126222, June 2021



Ombadi, M., P. Nguyen, S. Sorooshian, KL Hsu. "How much information on precipitation is contained in satellite infrared imagery?" Atmospheric Research, Volume 256 2021



Mojtaba Sadeghi, M., P Nguyen, MR Naeini, KL Hsu, D. Braithwaite, S. Sorooshian, "PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies", Springer Nature Scientific Data, June 2021



Qin, PC; HM Xu, HM (Xu; M Liu; LL Liu; C Xiao; I. Mallakpour; MR Naeini; KL Hsu; S Sorooshian, "Projected impacts of climate change on major dams in the Upper Yangtze River Basin, Climatic Change", 170(1-2) Article Number 8, DOI10.1007/s10584-021-03303-w, Jan 2022



Zhang, D; DS Wang; QD Peng; JQ Lin; TT Jin, TT; Yang, TT Yang; S Sorooshian; Y Liu, "Prediction of the outflow temperature of large-scale hydropower using theory-guided machine learning surrogate models of a high-fidelity hydrodynamics model", Journal of Hydrology, 606, Article Number127427, DOI10.1016/j.jhydrol.2022.127427, Mar 2022



Vesta Afzali Gorooh, VA, E J. Shearer, P Nguyen, KL Hsu, S. Sorooshian, F. Cannon, and M. Ralph, "Performance of New Near-Real-Time PERSIANN Product (PDIR-Now) for Atmospheric River Events over the Russian River Basin, California", Journal of Hydrometeorology, 22(9) DOI: https://doi.org/10.1175/JHM-D-22-0066.1 Sept 2022



Gorooh, VA; AA Asanjan; P Nguyen; KL Hsu; S Sorooshian; "Deep Neural Network High Spatiotemporal Resolution Precipitation Estimation (Deep-STEP) Using Passive Microwave and Infrared Data", Journal of Hydrometeorology 23(4) pp 597-617, DOI10.1175/JHM-D-21-0194.1 Apr 2022





Zhang, YH; AZ Ye; P Nguyen; B Analui; S Sorooshian; KL Hsu, "QRF4P-NRT: Probabilistic Post-Processing of Near-Real-Time Satellite Precipitation Estimates Using Quantile Regression Forests", Water Resources Research 58(5) Article e2022WR032117 DOI10.1029/2022WR032117 May 2022



Mallakpour, I; M Sadeghi; H Mosaffa, H; AA Asanjan; M Sadegh; P Nguyen; S Sorooshian; A AghaKouchak, "Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets," Water and Climate Extremes, Volume 36, Article Number 100433 DOI10.1016/j.wace.2022.100433, Jun 2022



Salehi, H; M Sadeghi; S Golian; P Nguyen; C Murphy; S Sorooshian, "The Application of PERSIANN Family Datasets for Hydrological Modeling" Remote Sensing 14(15), Article Number3675, DOI10.3390/rs14153675 Aug2022



Shearer, EJ; VA Gorooh; P Nguyen; KL Hsu; S Sorooshian, "Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements", Scientific Reports, 12(1), Article Number 13569, DOI10.1038/s41598-022-17640-y, Aug 9 2022



Shearer, EJ; VA Gorooh; P Nguyen; KL Hsu; S Sorooshian, "Author Correction: Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements (vol 12, 13569, 2022", Scientific Reports, 12(1), Article Number 16627 DOI10.1038/s41598-022-21626-1 Oct 5 2022



Gorooh, VA, E J. Shearer, P Nguyen, KL Hsu, S. Sorooshian, F. Cannon, and M. Ralph, "Performance of New Near-Real-Time PERSIANN Product (PDIR-Now) for Atmospheric River Events over the Russian River Basin, California", Journal of Hydrometeorology, 22(9) DOI: https://doi.org/10.1175/JHM-D-22-0066.1 Sept 2022



AghaKouchak A; B Pan; O Mazdiyasni; M Sadegh; S Jiwa; W Zhang; CA Love; S Madadgar; SM Papalexiou; SJ Davis; KL Hsu; S Sorooshian , "Status and prospects for drought forecasting: opportunities in artificial intelligence and hybrid physical-statistical forecasting", Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences, 380(2238), Article Number 20210288, DOI10.1098/rsta.2021.0288 Dec 12, 2022
BOOKS
Sorooshian, S., B. Imam, S. E. Mahani, T. Pagano, and M. Whittaker, “Hydrologic Sciences and Water Resources Management In a Changing World,” In Water Resources Perspectives: Evaluation, Management, and Policy. (Alsharhan A.S., and W.W. Wood Eds.), Elsevier Science, Amsterdam, The Netherlands, 2003.

Duan, Q., H. V. Gupta, S. Sorooshian, A. N. Rousseau, R. Turcotte, Editors, Calibration of Watershed Models, AGU Water Science and Application, Vol. 6 , American Geophysical Union, Washington, D.C., 2003

Wheater, H., S. Sorooshian, G. Sharma, Hydrological Modelling in Arid and Semi-Arid Areas, UNESCO IHP International Hydrology Series, Cambridge University Press, 2006

Sorooshian S, K-L Hsu, E. Coppola, B. Tomassetti, M. Verdecchia, and G. Visconti Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models, Water Science and Technology Library Vol 63, Springer Science+Business Media B.V. 2008

Sorooshian, S.,D. Easterling, A. Aghakouckak, S Schubert, K-L Hsu, Hydrometeorological Modeling: Meeting the hydrologic requirements for extreme event prediction , Springer 2011

AghaKouchak A., D. Easterling, KL Hsu, S. Schubert, S. Sorooshian (eds.), Extremes in a Changing Climate: Detection, Analysis and Uncertainty, Springer Publishing Company, 2012

CONTRIBUTIONS IN BOOKS
Sorooshian, S. and P.L. Whitaker, “Hydrology Overview,” in Handbook of Weather, Climate, and Water: Chemistry, Impacts, and Applications, T. Potter and B. Colman (Editors), pp. 417-430, John Wiley and Sons, Inc., New York, 2003.

Gupta, H.V., S. Sorooshian, T.S. Hogue, and D. Boyle, “Advances in Automatic Calibration of Watershed Models”, in: Calibration of Watershed Models, AGU Water Science and Application, Volume 6, pp. 9-28, American Geophysical Union, Washington, D.C., 2003.

Vrugt, J.A., H.V. Gupta, W. Bouten, and S. Sorooshian, “A Shuffled Complex Evolution Metropolis Algorithm for Estimating the Posterior Distribution of Watershed Model Parameters,” in Calibration of Watershed Models, AGU Water Science and Application, Vol. 6, pp. 105-112, American Geophysical Union, Washington, D.C., 2003.

Misirli, F., H.V. Gupta, S. Sorooshian, and M. Thiemann, “Bayesian Recursive Estimation of Parameter and Output Uncertainty for Watershed Models,” in Calibration of Watershed Models, AGU Water Science and Application, Vol. 6, pp. 113-124, American Geophysical Union, Washington, D.C., 2003.

Hogue, T.S., H.V. Gupta, S. Sorooshian, and C.D. Tomkins, “A Multi-Step Automatic Calibration Scheme for Watershed Models,” in Calibration of Watershed Models, AGU Water Science and Application, Vol. 6, pp. 165-174, American Geophysical Union, Washington, D.C., 2003.

Boyle, D.P., H.V. Gupta, and S. Sorooshian, “Multicriteria Calibration of Hydrologic Models,” in Calibration of Watershed Models, AGU Water Science and Application, Vol. 6, pp. 185-196, American Geophysical Union, Washington, D.C., 2003.

Bastidas, L.A., H.V. Gupta, K. Hsu, and S. Sorooshian, “Parameter, Structure, and Model Performance Evaluation for Land-Surface Schemes,” in Calibration of Watershed Models, AGU Water Science and Application, Vol. 6, pp. 229-237, American Geophysical Union, Washington, D.C., 2003.

Lawford, R.G., J.M. Landwehr, S. Sorooshian, and M.P.L. Whitaker, “International Hydrologic Science Programs and Global Water Issues,” in Water: Science, Policy, and Management, Water Resources Monograph 16, Chapter 11, pp. 223-246, American Geophysical Union, Washington, D.C., 2003.

Sorooshian S., B. Imam, S. E. Mahani, T. Pagano, and M. Whittaker, “Hydrologic Sciences and Water Resources Management In a Changing World,” In Water Resources Perspectives: Evaluation, Management, and Policy. (Alsharhan A.S., and W.W. Wood Eds.), Elsevier Science, Amsterdam, The Netherlands, 2003.

Imam B., and S. Sorooshian, “Overview of the Hydrologic Cycle and its Connection to Climate: Droughts and Floods,” in The Science and Culture Series, International Seminar on Nuclear War and Planetary Emergencies, 32nd Session. Ed. R. Ragaini, Series Ed. A. Zichichi, World Scientific, 2004.

Pagano, T., and S. Sorooshian, “Global Water Cycle (Fundamental, Theory, Mechanisms),” in Encyclopedia of Hydrological Sciences, Edited by M.G. Anderson, Vol 5, 173: pp. 2697-2711, John Wiley & Sons, Ltd., Chichester, England, 2006

Ksu, K-L, Y. Hong, S. Sorooshian, “Rainfall estimation using a cloud patch classification map,” in Advances in Global Change Research Series, Volume 28: Measuring Precipitation from Space, EURAINSAT and the Future, Volume Ed 28: V. Levizzani, P. Bauer, T.J. Turk, , Springer, 2007

Hsu, K., A. Behrangi, B. Imam, and S. Sorooshian, Extreme Precipitation estimation Using Satellite-based PERSIANN-CCS Algorithm, Springer Publishing Company. 2009. Satellite Rainfall Applications for Surface Hydrology, Edited by Fasial Hossian and Mekonnen Gebremichael, Springer Publishing Company, 2009

AghaKouchak, A., K-LHsu, S. Sorooshian, X. Gao, B. Imam, “Precipitation Estimation from Remotely Sensed Information using the Artificial Neural Networks Algorithm: Application to Drought Monitoring and Analysis”, Drought and Water Crises, Taylor and Francis, (with editor) 2011

Sorooshian, S., A. Aghakouckak, “Advancement towards a state-of-the-art hydrologic flood forecasting system”, Korea Environmental Institute Book Series, Korea Institute of Construction Technology (KICT) 2011

Sorooshian, S., “Hydrometeorological Modeling: Meeting the hydrologic requirements of short- to long-range predictions”, Korea Environmental Institute (KEI) 2011

AghaKouchak A., S. Sorooshian, K. Hsu, X. Gao, The Potential of Precipitation Remote Sensing for Water Resources Vulnerability Assessment in Arid Southwestern United States, pp141-149, invited book chapter in Climate Vulnerability: Understanding and Addressing Threats to Essential Resources - Water Encyclopedia (eds. Hossain and Pielke), Elsevier, Academic Press, ISBN: 9780123847034, 2012

AghaKouchak, A., KL Hsu, S. Sorooshian, X.Gao, B. Imam, Precipitation Estimation from Remotely Sensed Information using the Artificial Neural Networks: Application to Drought Monitoring and Analysis, Book Chapter in Remote Sensing of Drought: Innovative Monitoring Approaches (eds. Anderson M., Wardlow B., Verdin J.), Taylor & Francis, ISBN: 978-1439835579 2012

AghaKouchak A., Sellars S., Sorooshian S., Methods of Tail Dependence Estimation, in Extremes in a Changing Climate (eds. AghaKouchak A., Easterling D., Hsu K., Schubert S. and Sorooshian S.), Springer Publishing Company, ISBN 978-94-007-4478-3

Nasrollahi, N, S.Sorooshian, "Cloud Classification and its Application in Reducing False Rain", Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery, Book Series: Springer Theses-Recognizing Outstanding PhD Research, 43-63, DOI: 10.1007/978-3-319-12081-2_6 , 2015
Grants
Principal investigator and co-principal investigator on over $60 million by various agencies, such as NSF, NOAA, NASA, DOE, DOD, U.S. Army Research Office, U.S. State Department, UNESCO, and World Bank.
Professional Societies
National Academy of Engineering (NAE), Member 2003
International Academy of Astronautics (IAA), Member 2007
American Geophysical Union (AGU)
American Association for the Advancement of Science (AAAS)
American Meteorological Society (AMS)
International Water Resources Association (IWRA)
International Association of Hydrological Sciences (IAHS)
American Water Resources Association (AWRA)
American Society of Civil Engineers (ASCE)
Indian Association of Hydrologists, Roorkee, India
The World Academy of Sciences (TWAS), Fellow, 2010
Chinese Academy of Sciences (CAS), Foreign Member 2023
European Academy of Sciences, Fellow 2023
Other Experience
Founding Director
NSF Science and Technology Center on “Sustainability of semi-Arid Hydrology and Riparian Areas” (SAHRA), U of Arizona 2000—2003
Professor and Regents Professor ( Since 2000)
Dept. of Hydrology and Water Resources, U of Arizona 1996—2003
Department Head and Professor
Dept. of Hydrology and Water Resources, U of Arizona 1989—1996
Adjunct Regents Professor
University of Arizona 2004
Expert Witness
Union Pacific 2004—2008
Research Centers
Director, Center for Hydrometeorology & Remote Sensing (CHRS) https://chrs.web.uci.edu/
Last updated
09/13/2024