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Distinguished Professor, Civil & Environmental Engineering
The Henry Samueli School of Engineering
Director, Center for Hydrometeorology & Remote Sensing, Civil & Environmental Engineering
The Henry Samueli School of Engineering
Distinguished Professor, Earth System Science
School of Physical Sciences

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
Mail Code: 2175
Irvine, CA 92697
Author and co-author of 275+ refereed journal and conference proceedings papers; ISI Citation H-Index 62.
Researcher ID:B-3753-2008; ORCID:orcid.org/0000-0001-7774-5113

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

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:

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
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

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
Principal investigator and co-principal investigator on over $55 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)
International Academy of Astronautics (IAA)
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
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 Center
Director, Center for Hydrometeorology & Remote Sensing (CHRS) http://www.chrs.web.uci.edu/
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