Kuo-lin Hsu
Professor, Civil & Environmental Engineering
The Henry Samueli School of Engineering
The Henry Samueli School of Engineering
Ph.D., The University of Arizona, 1996, Hydrology and Water Resources
M.S., National Taiwan University, Taiwan, 1986
B.S., National Cheng Kung University, Taiwan, 1984
M.S., National Taiwan University, Taiwan, 1986
B.S., National Cheng Kung University, Taiwan, 1984
University of California, Irvine
E/4130 Engineering Gateway
Mail Code: 2175
Irvine, CA 92697
E/4130 Engineering Gateway
Mail Code: 2175
Irvine, CA 92697
Research Interests
Remote sensing of precipitation, hydrologic systems modeling, stochastic hydrology, and water resources systems planning
Research Abstract
Dr Hsu’s research covers remote sensing hydrology and hydrologic modeling/prediction. He is active in the area of remote sensing precipitation and data-model assimilation applications. His general research activities include:
• Improving hydrologic prediction and water resources management using artificial intelligence and machine learning approaches
• Applying Bayesian Monte Carlo methods for hydrologic prediction and uncertainty analysis
• Developing multi-model ensemble techniques in the hydrologic prediction
• Integrating multiple satellite information for global precipitation measurement
• Applying satellite data for hydrologic applications (floods, droughts, and water resources monitoring)
• Studying the uncertainty of remote sensing and in-situ observations and their impact to hydrologic predictions
• Improving hydrologic prediction and water resources management using artificial intelligence and machine learning approaches
• Applying Bayesian Monte Carlo methods for hydrologic prediction and uncertainty analysis
• Developing multi-model ensemble techniques in the hydrologic prediction
• Integrating multiple satellite information for global precipitation measurement
• Applying satellite data for hydrologic applications (floods, droughts, and water resources monitoring)
• Studying the uncertainty of remote sensing and in-situ observations and their impact to hydrologic predictions
Publications
Book Chapters:
Hsu, K., H.V. Gupta, X. Gao, and S. Sorooshian, “Rainfall Estimation from Satellite Imagery”, Chapter 11 of Artificial Neural Networks in Hydrology, Edited by R.S. Govindaraju and A.R. Rao, Published by Kluwer Academic Publishers, P.O. Box 17, 3300 AA Dordrecht, The Netherlands, 2000, pp 209-234.
Gupta, H.V., K. Hsu, and Soroosh Sorooshian, “Effective and Efficient ANN Modeling for Streamflow Forecasting”, Chapter 1 of Artificial Neural Networks in Hydrology, Edited by R.S. Govindaraju and A.R. Rao, Published by Kluwer Academic Publishers, P.O. Box 17, 3300 AA Dordrecht, The Netherlands, 2000, pp. 7-22.
Luis A. Bastidas, Hoshin V. Gupta, K. Hsu, and Soroosh Sorooshian, “Parameter, Structure, and Model Performance Evaluation for Land-Surface Schemes”, in the Calibration of Watershed Models Edited by Qingyun Duan, Hoshin V. Gupta, Soroosh Sorooshian, Alain N. Rousseau, and Richard Turcotte, Water Science and Application Series, 346 pages Hardbound, ISBN# 087590355x, AGU Code: WS006355X. 2002, pp 229-237.
Hsu, K., Y. Hong, and S. Sorooshian, Rainfall estimation using a cloud patch classification map, Measurement of Precipitation from Space: EURAINSAT and Future, Edited by V. Levizzani, P. Bauer, and F.J. Turk. Springer Publishing Company, 2007, 745 pages, Hardcover, ISBN#978-1-4240-5834-9, 2007, pp. 329-242.
Sorooshian, S., K. Hsu, B. Imam, and Y. Hong, Global Precipitation estimation from Satellite Image Using Artificial Neural Networks, Hydrological Modeling in Arid and Semi-Arid Areas, Edited by H. Wheater, S. Sorooshian, and K.D. Sharma, Cambridge University Press, 2008, 195 pages, Hardcover, ISBN# 978-0-521-86918-8, 2008, pp. 21-28.
Hsu, K. and S. Sorooshian, Satellite-based Precipitation Measurement Using PERSIANN System, Springer Publishing Company. 2008. Hydrological Modeling and The Water Cycle—Coupling the Atmospheric and Hydrologic Models, Edited by S. Sorooshian, K Hsu, E. Coppola, B. Tomassetti, M. Verdecchia, and G. Visconti, Springer Publishing Company, 2008, ISBN# 978-3-540-77842-4.
Hsu, K., A. Behrangi, B. Imam, and S. Sorooshian, Extreme Precipitation estimation Using Satellite-based PERSIANN-CCS Algorithm, Springer Publishing Company. 2010. Satellite Rainfall Applications for Surface Hydrology, Edited by Fasial Hossian and Mekonnen Gebremichael, Springer Publishing Company, 2010, ISBN# 978-90-481-2914-0.
AghaKouchak, A, K. Hsu, S. Sorooshian, X. Gao, and B. Imam, Precipitation Estimation from Remotely Sensed Information using the Artificial Neural Network (PERSIANN) Algorithm, In Remote Sensing of Drought, Edited by B.D. Wardlow, M.C. Anderson, and J.P. Verdin, CRC Press, Taylor and Francis Group, 411 pages, ISBN# 978-1-4398-3557-9, 2012.
AghaKouchak A., S. Sorooshian, K. Hsu, X. Gao. The Potential of Precipitation Remote Sensing for Water Resources Vulnerability Assessment in Arid Southwestern United States. In Climate Vulnerability: Understanding and Addressing Threats to Essential Resources - Water Resources to Climate (eds. F. Hossain and R. Pielke), Elsevier, The Netherlands, 2013. ISBN# 978-0-12-384704-1
Sorooshian, S., P. Nguyen, S. Sellars, D. Braithwaite, A. AghaKouchak, and K. Hsu, Satellite-based Remote Sensing Estimation of Precipitation for Early Warning Systems, In Extreme Natural Hazards, Disaster Risks and Societal Implications. Edited by A. Ismail-Zadeh, J. Fucugaughi, A. Kijko, K. Takeuchi, and I. Zaliapin, Cambridge University Press. 2014. ISBN# 9781107033863.
Journal Articles:
Hsu, K., H.V. Gupta, and S. Sorooshian, Artificial Neural Network Modeling of the Rainfall-Runoff Process, Water Resources Research, 31(10), 2517-2530, 1995.
Hsu, K., X. Gao, S. Sorooshian, and H.V. Gupta, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks, Journal of Applied Meteorology, 36(9), 1176-1190, 1997.
Hsu, K., H.V. Gupta, X. Gao, and S. Sorooshian, Estimation of Physical Variables from Multiple Channel Remotely Sensed Imagery Using a Neural Network: Application to Rainfall Estimation, Water Resources Research, 35(5), 1605-1618, 1999.
Sorooshian, S., K. Hsu, X. Gao, H.V. Gupta, B. Imam, and Dan Braithwaite, Evaluation of PERSIANN System Satellite-Based Estimates of Tropical Rainfall, Bulletin of the American Meteorological Society, 81(9), 2035-2046, 2000.
Gupta, H.V., S. Sorooshian, X. Gao, B. Imam, K. Hsu, L.A. Bastidas, J. Li, and S. Mahani, The Challenge of Predicting Flash Floods from Thunderstorm Rainfall, Philosophical Transactions of the Royal Society, 360, 1-9, 2002.
Sorooshian, S., X. Gao, K. Hsu, R.A. Maddox, Y. Hong, B. Imam, and H.V. Gupta, Diurnal Variability of Tropical Rainfall Retrieved from Combined GOES and TRMM Satellite Information, Journal of Climate, 15, 983-1001, 2002.
Hsu, K., H.V. Gupta, X. Gao, S. Sorooshian, and B. Imam, SOLO–-An Artificial Neural Network Suitable for Hydrologic Modeling and Analysis, Water Resources Research, 38(12). 1302, 2002.
Li, J., X. Gao, R.A. Maddox, S. Sorooshian, and K. Hsu, Summer Weather Simulation for the Semi-Arid Lower Colorado River Basin: Case Tests, Monthly Weather Review, 131(3), 521-541, 2003.
Li, J., X. Gao, R.A. Maddox, S. Sorooshian, and K. Hsu, A Numerical Investigation of the Storm Structure and Evolution in the 1999 Las Vegas Flooding, Monthly Weather Review, 131(9), 2038-2059. 2003.
Tapiador, F.J., C. Kidd, K. Hsu, and F.S. Mazano, Neural Networks in Satellite Rainfall Estimation, Meteorological Applications, 11, 1-9, 2004.
Hong, Y., K. Hsu, S. Sorooshian, J. Shuttleworth, Satellites Provide Data to Estimate Rainfall at Global and Regional Scales, Southwest Hydrology, 3(1), 29, 2004.
Moradkhani, H., K. Hsu, H. Gupta, and S. Sorooshian, Improved Streamflow Forecasting using Self-organizing Radial Basis Function Artificial Neural Networks, Journal of Hydrology, 295, 246-262, 2004.
Hong, Y., K. Hsu, X. Gao, and S. Sorooshian, Precipitation Estimation from Remotely Sensed Information using An Artificial Neural Network—Cloud Classification System, Journal of Applied Meteorology, 43, 1834-1852, 2004.
Hong, Y., K. Hsu, S. Sorooshian, X. Gao, Improved Representation of Diurnal Variability of Rainfall Retrieval from TRMM-adjusted PERSIANN System, Journal of Geophysical Research, 110, D06102, 2005.
Hong, Y., K. Hsu, S. Sorooshian, X. Gao, Self-organizing Nonlinear Output Map (SONO): An Artificial Neural Network Suitable for Cloud Patch Based Rainfall Estimation at Small Scale, Water Resources Research, 41, W03008, 2005.
Moradkhani, H., K. Hsu, H. Gupta, and S. Sorooshian, Uncertainty Assessment of Hydrologic Model Parameters: Sequential Data Assimilation Using Particle Filter, Water Resources Research, 41, W05012, 2005.
Yilmaz, K.K., T.S. Hogue, K. Hsu, S. Sorooshian, H.V. Gupta, and T. Wagener, Intercomparison of Rain Gauge, Radar, and Satellite-based Precipitation Estimates on Hydrologic Forecasting, Journal of Hydrometeorology, 6(4), 497-517, 2005.
Abramowitz, G., H. Gupta, A. Pitman, Y. Wang, R. Leuning, H. Cleugh, and K. Hsu, Neural Error Regression Diagnosis (NERD): A Tool for Model Bias Identification and Prognostic Data Assimilation, Journal of Hydrometeorology, 7(1), 160–177, 2006.
Hong, Y., K. 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, 42, W08421, 2006.
Moradkhani, H., K. Hsu, Y. Hong, and S. Sorooshian, Investigating the Impact of Remotely Sensed Precipitation and Hydrologic Model Uncertainties on the Ensemble Streamflow Forecasting, Geophysical Research Letters, 33(12), L12107, 10.1029/2006GL026855, 2006.
Lawford, R., M. Bosilovich, S. Eden, S. Benedict, C. Brown, A. Gruber, P. Houser, K. Hsu, J. Huang, W. Lau, T. Meyers, K, Mitchell, C. Peters- Lidard, J. Roads, M. Rodell, S. Sorooshian, D. Tarpley, and S. Williams, US Contribution to The Coordinated Enhanced Observation Period (CEOP), Bulletin of American Meteorological Society, 87(7), 927–939, 2006.
Hong, Y., Y-M Chiang, Y. Liu, K. Hsu, and S Sorooshian, Satellite-based Precipitation Estimation using Watershed Segmentation and Growing Hierarchical Self-Organizing Map, International Journal of Remote Sensing, 27(23), 5165-5184, 2006.
Hong, Y., D. Gochis, C. Cheng, K. Hsu, and S. Sorooshian, Evaluation of Satellite-based Rainfall Measurement Using NERN Gauge Network, Journal of Hydrometeorology, 8(3), 469-482, DOI:10.1175/JHM574.1, 2007
Chiang, Y. M., K. Hsu, F.-J. Chang, Y. Hong, and S. Sorooshian, Merging Multiple Precipitation Sources for Flood Forecasting, Journal of Hydrology, 340, 183-196, 2007.
Dai, A., X. Lin, K. Hsu, The Frequency, Intensity, and Diurnal Cycle of Precipitation in Surface and Satellite Observations over Low- and Mid-latitudes, Journal of Climate Dynamics, DOI 10.1007/s00382-007-0260-y, 2007.
Li, J., S. Sorooshian, W. Higgins, X. Gao, B. Imam, and K. Hsu, Influence of Spatial Resolution on Diurnal Variability During the North American Monsoon, Journal of Climate. 21(16), 3967-3988, 2008.
Hsu, K., H. Moradkhani, and S. Sorooshian, A Sequential Bayesian Approach for Hydrologic Model Selection and Prediction, Water Resources Research, 45, W00B12, doi:10.1029/2008WR006824, 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, 2009.
Behrangi, A., K.-L. Hsu, B. Imam, S. Sorooshian, and R.J. Kuligowski, Evaluating the Utility of Multispectral Information in Delineating the Areal Extent of Precipitation. J. Hydrometeor., 10, 684–700., 2009.
Khakbaz, B., B. Imam, K. Hsu, and S. Sorooshian, From Lump to Distributed Via Semi-Distributed: Calibration Strategies from Semi Distributed Hydrologic Models, Water Resources Research. 2009. Doi:10.1016/j.jhydrol.2009.02.021
Bellerby, T., K. Hsu, and S. Sorooshian, LMODEL: A Satellite Precipitation Algorithm Using Cloud Development Modeling and Model Updating. Part I: Model Development and Calibration, Journal of Hydrometeorology, 2009. 10(5), 1081-1095. DOI: 10.1175/2009JHM1091.1.
Hsu, K., T. Bellerby, and S. Sorooshian, LMODEL: A Satellite Precipitation Algorithm Using Cloud Development Modeling and Model Updating. Part II: Model Updating, Journal of Hydrometeorology, 2009. 10(5), 1096-1108. DOI: 10.1175/2009JHM1092.1.
Boushaki, F.I., K. Hsu, G-H Park, S. Mahani, and S. Sorooshian, Bias Adjustment of Satellite Precipitation Estimation Using Ground Measurement: A Case Study Over the Southwestern US, Journal of Hydrometeorologyy, 2009. 10(5), 1231-1242. DOI: 10.1175/2009JHM1099.1
Behrangi A., K. Hsu, B. Imam, S. Sorooshian, G. Huffman, and R.J. Kuligowski, Multi-spectral image classification and rainfall estimation, Journal of Hydrometeorology, 2009. DOI: 10.1175/2009JHM1139.1
Tain, Y., C.D. Peters-Lidard, J.B. Eylander, R.J. Joyce, G.J. Huffman, R.F. Adler, K. Hsu, F.J. Turk, M. Garcia, and J. Zeng, Component Analysis of Errors in Satellite-based Precipitation Estimates, JGR—Atmosphere. 114,D24101. DOI: 10.1029/2009JD011949. 2009.
Behrangi A., K. Hsu, B. Imam, S. Sorooshian, G. Huffman, and R.J. Kuligowski, PERSIANN-MSA: A Precipitation Estimation Method from Satellite-based Multi-spectral Analysis, Journal of Hydrometeorology,10(6), 1414-1429, 2010.
Behrangi, A., K. Hsu, B. Imam, and S. Sorooshian, 2009. Daytime Precipitation Estimation Using Bi-Spectral Cloud Classification System, Journal of Applied Meteorology and Climatology. 49(5), 1015-1031, 2010.
Juglea, S., Y. Kerr, A. Mialon, E. Lopez-Baeza, D. Braithwaite, and K. Hsu, Soil Moisture Modeling of a SMOS Pixel, Interest of Using the PERSIANN Database over the Valencia Anchor Station, Hydrol. Earth Syst. Sci., 14, 1509-1525, 2010.
Bae, H-K, B.H. Olson, K. Hsu, and S. Sorooshian, Classification and Regression Tree (CART) Analysis for Indicator Bacterial Concentration Prediction for a California Coastal Area, Water Science and Technology, 61(2), 545-553, 2010.
Behrangi, A., B. Imam, K. Hsu, S. Sorooshian, T.J. Bellerby, and G.J. Huffman, Rain Estimation using Forward Adjusted-advection of Microwave Estimates (REFAME), Journal of Hydrometeorology, 11, 1305-1321, 2010.
AghaKouchak, A., S. Sorooshian, B. Imam, K. hsu, and X. Gao, NASA Satellites Help Monitor the Pakistan Flooding: An Application of Near-Real-Time Satellite Observations. The Earth Observer, 22(6), 4-6, 2010.
Hsu, K., 2011. Hydrological Forecasting using ANN: A Sequential Bayesian Approach, Journal of Hydroinformatics, 13(1), 25-35, 2011.
Dong, X., X. Baike, A. Kennedy, Z. Feng, J.K. Entin, P.R. Houser, R.A. Schiffer, T. L’Ecuyer, W.S. Olson, K. Hsu, T. Liu, B. Lin, Y. Deng, and T. Jiang, Investigation of the 2006 Drought and 2007 Flood Extreme at the Southern Great Plains, JGR-Atmosphere, 116, D03204, doi:10.1029/2010JD014776, 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, 2011.
AghaKouchak, A. S. Sorooshian, A. Behrangi, K. Hsu, E. Amitai, Evaluation of Satellite-Retrieved Extreme Precipitation Rates Across the Central United States, , JGR-Atmosphere, 116, D02115, doi:10.1029/2010JD014741, 2011.
Sorooshian, S., J. Li, K. Hsu, and X. Gao, How Significant Is the Impact of Irrigation on the Local Hydroclimate in California? Central Valley’s Comparison of model results with ground and observational data, JGR-Atmosphere, 116, D06102, doi:10.1029/2010JD014775, 2011.
Kim, J.B, H.K. Bae, K. Hsu, and S. Sorooshian, Self-Organizing Linear Output (SOLO) Approach for Managing Total Coliform Indicator Bacteria on California Beaches, Journal of Coastal Research, 64, 1063-1067, 2011.
Hsu, K., J. Li, and S. Sorooshian, Improve Soil Moisture Estimation using In-situ and Remote Sensing Information, Paddy and Water Environment, DOI: 10.1007/s10333-011-0308-9, 2012.
Kidds, C., P. Bauer, J. Turk, G.J. Huffman, R. Joyce, K. Hsu, and D. Braithwaite, Inter-Comparison of High Resolution Precipitation Products over Northwest Europe. Journal of Hydrometeorology. 2012. doi: 10.1175/JHM-D-11-042.1
Nasrollahi, N., A. AghaKouchak, J. Li., X. Gao, K. Hsu, and S. Sorooshian, Assessing the Impact of Different WRF Precipitation Physics in Hurricane Simulations, Weather and Forecasting, 27(4), 1003-1016, 2012.
Mahrooghy, M., V.G. Anantharaj, N.H. Younan, and K. Hsu, Enhancements to the PERSIANN-CCS Algorithm, Journal of Atmospheric and Oceanic Technology, 29, 922-932, 2012. DOI: 10.1175/JTECH-D-11-00146.1
Behrangi, A., S. Sorooshian, and K. Hsu, Summertime Evaluation of REFAME for Near Real-Time High Resolution Precipitation Estimation over the United States, Journal of Hydrology. 456–457, 130-138, 2012. doi: 10.1016/j.jhydrol.2012.06.033.
Zahraei, A., K. Hsu, S. Sorooshian, J.J. Gourley, V. Lakshmanan, Y. Hong, and T. Bellerby. Short-term Quantitative Precipitation Forecasting: A Lagrangian Pixel-based Approach. Atmospheric Research. 118, 418-434, 2012. doi: 10.1016/j.atmosres.2012.07.001.
Sorooshian, S., J. Li, K. Hsu, and X. Gao, Influence of Irrigation Scheme Used in RCMs on ET Estimation: Results and Comparative Studies from California's Central Valley Agricultural Regions, Journal of Geophysical Research, 117, D06107, 2012
doi:10.1029/2011JD016978.
Zahraei, A., K. Hsu, S. Sorooshian, J.J. Gourley, Y. Hong, and A. Behrangi. Short-term Quantitative Precipitation Forecasting Using An Object-based Approach. Journal of Hydrology. 483, 1-15, 2013. doi: 10.1016/j.jhydrol.2012.09.052.
Hsu, K., S. Sellars, P. Nguyen, D. Braithwaite, and W. Chu, G-WADI PERSIANN-CCS GeoServer for Extreme Event Analysis, Sciences in Cold and Arid Regions, 5(1), 6-15, 2013. doi: 10.3724/SP.J.1226.2013.00006.
Mahrooghy, M., V.G. Anantharaj, N.H. Younan, W.A. Petersen, K. Hsu, A. Behrangi, and J. Aanstoos, Augmenting Satellite Precipitation Estimation with Lightning Information, International Journal of Remote Sensing. 34(16), 5796-5811, 2013. doi: 10.1080/01431161.2013.796100.
Katiraie-Boroujerdy, P-S, N. Nasrollahi, K. Hsu and S. Sorooshian, Evaluation of Satellite Based Precipitation Estimation Over Iran, Journal of Arid Environments, 97, 205-219, 2013. doi: 10.1016/j.jaridenv.2013.05.013.
Sellers, S., P. Nguyen, W. Chu, X. Gao, K. Hsu, and S. Sorooshian, Computational Earth Science: Big Data Transformed into Insight. EOS, Transactions American Geophysical Union, 94(32), 277-278, 2013. doi: 10.1002/2013EO320001
Nasrollahi, N., K. Hsu, and S. Sorooshian, Reducing False Alarm in Satellite Precipitation Products, Journal of Hydrometeorology, 14(4), 2013. doi:10.1175/JHM-D-12-0172.1.
Smith, M., V. Koren, Z. Zhang, F. Moreda, Z. Cui, B. Cosgrove, N. Mizukam, 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, K. Hsu, E. Todini, G. Coccia, C. Mazzetti, E.O. Andres, F. Frances; I. Orozco, R. Hartman, A. Henkel, P. Fickenscher, and S. Staggs, The Distributed Model Intercomparison Project - Phase 2: Experiment Design and Summary Results of the Western Basin Experiments, Journal of Hydrology, 507, 300-329, 2013. doi: 10.1016/j.jhydrol.2013.08.040.
Lo Conti, F., K. Hsu, L.V. Noto, and S. Sorooshian, Evaluation and Comparison of Satellite Precipitation Estimates with Reference to a Local Area in the Mediterranean Sea, Atmospheric Research, 138, 189-204, 2014. DOI: 10.1016/j.atmosres.2013.11.011
Chang, F-J, Y-M Chiang, M-J Tsai, M-C Shieh, K. Hsu, S. Sorooshian, Watershed Rainfall Forecasting Using Neuro—Fuzzy Networks with the Assimilation of Multi-sensor Information, Journal of Hydrology, 508, 374-384, 2014. doi: 10.1016/j.jhydrol.2013.11.011
Sultana R., K. Hsu, J. Li, and S. Sorooshian, Evaluating the Utah Energy Balance (UEB) Snow Model in the Noah Land Surface Model, Hydrology and Earth System Sciences, 18, 3553-3570, 2014. doi: 10.5194/hess-18-3553-2014
Nguyen, P., S. Sellers, A. Thorstensen, Y. Tao, H. Ashouri, D. Braithwaite, K. Hsu, and S. Sorooshian, Satellites Track Precipitation of Super typhoon Haiyan, EOS, Transactions American Geophysical Union, 95(16), 133-135, 2014. doi: 10.1002/2014EO160002.
Tao, Y., Q. Duan, Z. Ye, W. Gong, Z. Di, M. Xiao, and K. Hsu, An Evaluation of Post-Processed TIGGE Multimodel Ensemble Precipitation Forecast in the Huai River Basin, Journal of Hydrology, 519, 2890-2905, 2014. doi:10.1016/j.jhydrol.2014.04.040
Katiraie-Boroujerdy, P-S, N. Nasrollahi, K. Hsu and S. Sorooshian, Quantifying The Reliability of Four Global Datasets for Drought Monitoring Over A Semi-Arid Region, Theoretical and Applied Climatology, 1-15, 2015. doi:10.1007/s00704-014-1360-3.
Li, J., K. Hsu, A. AghaKouchak, and S. Sorooshian, An Object-based Approach for Verification of Precipitation Estimation, International Journal of Remote Sensing, 36(2), 513-529, 2015. doi: 10.1080/01431161.2014.999170
Ashouri, H., K. Hsu, S. Sorooshian, D. Braithwaite, K.R. Knapp, L.D. Cecil, B.R. Nelson, and O.P. Prat, PERSIANN-CDR: 33-year Multi-satellite High Resolution Global Daily Precipitation Data Record for Climate Studies, Bulletin of American Meteorological Society, 96, 69-83, 2015. doi:10.1175/BAMS-D-13-00068.1
Jaw, T. J., J. Li, K. Hsu, S. Sorooshian, and F. Driouech, Evaluation for Moroccan Dynamically-Downscaled Precipitation from GCM CHAM5 and Its Regional Hydrologic Response, Journal of Hydrology: Regional Studies, 3, 359-378, 2015. http://dx.doi.org/10.1016/j.ejrh.2015.02.008.
Nguyen, P., A. Thorstensen, S. Sorooshian, K. 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, 2015. doi: http://dx.doi.org/10.1175/JHM-D-14-0212.1.
Miao, C, H. Ashouri, K. Hsu, S. Sorooshian, and Q. Duan, Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China, Journal of Hydrometeorology, 16(3), 1387-1396, 2015. doi: http://dx.doi.org/10.1175/JHM-D-14-0174.1.
Nasrollahi, N., A. AghaKouchak, L. Cheng, L. Damberg, T.J. Phillips, K. Hsu, and S. Sorooshian, How Well Do CMIP Climate Simulation Replicate Historical Trends and Patterns of Meteorological Droughts? Water Resources Research, 51(4), 2847-2864, 2015. 10.1002/2014WR016318.
Sarachi, S., K. Hsu, S. Sorooshian, A Statistical Model for the Uncertainty Analysis of Satellite Precipitation Products, Journal of Hydrometeorology, 16, 2101-2117, 2015. doi: http://dx.doi.org/10.1175/JHM-D-15-0028.1
Thorstensen, A., P. Nguyen, K. Hsu, and S. Sorooshian, Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model, Journal of Hydrometeorology, 2015. (Accepted)
Nguyen, P., A. Thorstensen, K. Hsu, A. AghaKouchak, B. Sanders, M. Smith, V. Koren and S. Sorooshian, A High Resolution Coupled Hydrologic-hydraulic Model (HiResFlood-UCI) for Flash Flood Modeling, Journal of Hydrology. 2015. (Accepted).
Ashouri, H., S. Sorooshian, K. Hsu, M.G. Bosilovich, J. Lee, M. Wehner, and 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. 2015 (Accepted).
News Articles:
Hsu, K., S. Sorooshian, X. Gao, and B. Imam, Global Precipitation Observations from the PERSIANN System, GEWEX News, 13(3), 11-12, 2003.
Hong, Y., K. Hsu, S. Sorooshian, J. Shuttleworth, Satellites Provide Data to Estimate Rainfall at Global and Regional Scales, Southwest Hydrology, 3(1), 29, 2004.
AghaKouchak A., S. Sorooshian, B. Imam, K. Hsu, X. Gao, NASA Satellites Help Monitor the Pakistan Flooding: An Application of Near-Real-Time Satellite Observations, The Earth Observer, 22 (6), 4-6. 2010.
Hsu, K., S. Sorooshian, X. Gao, D. Braitewaite, and A. AghaKouchak, Monitoring Global Precipitation Using Satellites, SPIE Newsroom in Remote Sensing, October 2012. DOI: 10.1117/2.1201210.004475.
Hsu, K., H.V. Gupta, X. Gao, and S. Sorooshian, “Rainfall Estimation from Satellite Imagery”, Chapter 11 of Artificial Neural Networks in Hydrology, Edited by R.S. Govindaraju and A.R. Rao, Published by Kluwer Academic Publishers, P.O. Box 17, 3300 AA Dordrecht, The Netherlands, 2000, pp 209-234.
Gupta, H.V., K. Hsu, and Soroosh Sorooshian, “Effective and Efficient ANN Modeling for Streamflow Forecasting”, Chapter 1 of Artificial Neural Networks in Hydrology, Edited by R.S. Govindaraju and A.R. Rao, Published by Kluwer Academic Publishers, P.O. Box 17, 3300 AA Dordrecht, The Netherlands, 2000, pp. 7-22.
Luis A. Bastidas, Hoshin V. Gupta, K. Hsu, and Soroosh Sorooshian, “Parameter, Structure, and Model Performance Evaluation for Land-Surface Schemes”, in the Calibration of Watershed Models Edited by Qingyun Duan, Hoshin V. Gupta, Soroosh Sorooshian, Alain N. Rousseau, and Richard Turcotte, Water Science and Application Series, 346 pages Hardbound, ISBN# 087590355x, AGU Code: WS006355X. 2002, pp 229-237.
Hsu, K., Y. Hong, and S. Sorooshian, Rainfall estimation using a cloud patch classification map, Measurement of Precipitation from Space: EURAINSAT and Future, Edited by V. Levizzani, P. Bauer, and F.J. Turk. Springer Publishing Company, 2007, 745 pages, Hardcover, ISBN#978-1-4240-5834-9, 2007, pp. 329-242.
Sorooshian, S., K. Hsu, B. Imam, and Y. Hong, Global Precipitation estimation from Satellite Image Using Artificial Neural Networks, Hydrological Modeling in Arid and Semi-Arid Areas, Edited by H. Wheater, S. Sorooshian, and K.D. Sharma, Cambridge University Press, 2008, 195 pages, Hardcover, ISBN# 978-0-521-86918-8, 2008, pp. 21-28.
Hsu, K. and S. Sorooshian, Satellite-based Precipitation Measurement Using PERSIANN System, Springer Publishing Company. 2008. Hydrological Modeling and The Water Cycle—Coupling the Atmospheric and Hydrologic Models, Edited by S. Sorooshian, K Hsu, E. Coppola, B. Tomassetti, M. Verdecchia, and G. Visconti, Springer Publishing Company, 2008, ISBN# 978-3-540-77842-4.
Hsu, K., A. Behrangi, B. Imam, and S. Sorooshian, Extreme Precipitation estimation Using Satellite-based PERSIANN-CCS Algorithm, Springer Publishing Company. 2010. Satellite Rainfall Applications for Surface Hydrology, Edited by Fasial Hossian and Mekonnen Gebremichael, Springer Publishing Company, 2010, ISBN# 978-90-481-2914-0.
AghaKouchak, A, K. Hsu, S. Sorooshian, X. Gao, and B. Imam, Precipitation Estimation from Remotely Sensed Information using the Artificial Neural Network (PERSIANN) Algorithm, In Remote Sensing of Drought, Edited by B.D. Wardlow, M.C. Anderson, and J.P. Verdin, CRC Press, Taylor and Francis Group, 411 pages, ISBN# 978-1-4398-3557-9, 2012.
AghaKouchak A., S. Sorooshian, K. Hsu, X. Gao. The Potential of Precipitation Remote Sensing for Water Resources Vulnerability Assessment in Arid Southwestern United States. In Climate Vulnerability: Understanding and Addressing Threats to Essential Resources - Water Resources to Climate (eds. F. Hossain and R. Pielke), Elsevier, The Netherlands, 2013. ISBN# 978-0-12-384704-1
Sorooshian, S., P. Nguyen, S. Sellars, D. Braithwaite, A. AghaKouchak, and K. Hsu, Satellite-based Remote Sensing Estimation of Precipitation for Early Warning Systems, In Extreme Natural Hazards, Disaster Risks and Societal Implications. Edited by A. Ismail-Zadeh, J. Fucugaughi, A. Kijko, K. Takeuchi, and I. Zaliapin, Cambridge University Press. 2014. ISBN# 9781107033863.
Journal Articles:
Hsu, K., H.V. Gupta, and S. Sorooshian, Artificial Neural Network Modeling of the Rainfall-Runoff Process, Water Resources Research, 31(10), 2517-2530, 1995.
Hsu, K., X. Gao, S. Sorooshian, and H.V. Gupta, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks, Journal of Applied Meteorology, 36(9), 1176-1190, 1997.
Hsu, K., H.V. Gupta, X. Gao, and S. Sorooshian, Estimation of Physical Variables from Multiple Channel Remotely Sensed Imagery Using a Neural Network: Application to Rainfall Estimation, Water Resources Research, 35(5), 1605-1618, 1999.
Sorooshian, S., K. Hsu, X. Gao, H.V. Gupta, B. Imam, and Dan Braithwaite, Evaluation of PERSIANN System Satellite-Based Estimates of Tropical Rainfall, Bulletin of the American Meteorological Society, 81(9), 2035-2046, 2000.
Gupta, H.V., S. Sorooshian, X. Gao, B. Imam, K. Hsu, L.A. Bastidas, J. Li, and S. Mahani, The Challenge of Predicting Flash Floods from Thunderstorm Rainfall, Philosophical Transactions of the Royal Society, 360, 1-9, 2002.
Sorooshian, S., X. Gao, K. Hsu, R.A. Maddox, Y. Hong, B. Imam, and H.V. Gupta, Diurnal Variability of Tropical Rainfall Retrieved from Combined GOES and TRMM Satellite Information, Journal of Climate, 15, 983-1001, 2002.
Hsu, K., H.V. Gupta, X. Gao, S. Sorooshian, and B. Imam, SOLO–-An Artificial Neural Network Suitable for Hydrologic Modeling and Analysis, Water Resources Research, 38(12). 1302, 2002.
Li, J., X. Gao, R.A. Maddox, S. Sorooshian, and K. Hsu, Summer Weather Simulation for the Semi-Arid Lower Colorado River Basin: Case Tests, Monthly Weather Review, 131(3), 521-541, 2003.
Li, J., X. Gao, R.A. Maddox, S. Sorooshian, and K. Hsu, A Numerical Investigation of the Storm Structure and Evolution in the 1999 Las Vegas Flooding, Monthly Weather Review, 131(9), 2038-2059. 2003.
Tapiador, F.J., C. Kidd, K. Hsu, and F.S. Mazano, Neural Networks in Satellite Rainfall Estimation, Meteorological Applications, 11, 1-9, 2004.
Hong, Y., K. Hsu, S. Sorooshian, J. Shuttleworth, Satellites Provide Data to Estimate Rainfall at Global and Regional Scales, Southwest Hydrology, 3(1), 29, 2004.
Moradkhani, H., K. Hsu, H. Gupta, and S. Sorooshian, Improved Streamflow Forecasting using Self-organizing Radial Basis Function Artificial Neural Networks, Journal of Hydrology, 295, 246-262, 2004.
Hong, Y., K. Hsu, X. Gao, and S. Sorooshian, Precipitation Estimation from Remotely Sensed Information using An Artificial Neural Network—Cloud Classification System, Journal of Applied Meteorology, 43, 1834-1852, 2004.
Hong, Y., K. Hsu, S. Sorooshian, X. Gao, Improved Representation of Diurnal Variability of Rainfall Retrieval from TRMM-adjusted PERSIANN System, Journal of Geophysical Research, 110, D06102, 2005.
Hong, Y., K. Hsu, S. Sorooshian, X. Gao, Self-organizing Nonlinear Output Map (SONO): An Artificial Neural Network Suitable for Cloud Patch Based Rainfall Estimation at Small Scale, Water Resources Research, 41, W03008, 2005.
Moradkhani, H., K. Hsu, H. Gupta, and S. Sorooshian, Uncertainty Assessment of Hydrologic Model Parameters: Sequential Data Assimilation Using Particle Filter, Water Resources Research, 41, W05012, 2005.
Yilmaz, K.K., T.S. Hogue, K. Hsu, S. Sorooshian, H.V. Gupta, and T. Wagener, Intercomparison of Rain Gauge, Radar, and Satellite-based Precipitation Estimates on Hydrologic Forecasting, Journal of Hydrometeorology, 6(4), 497-517, 2005.
Abramowitz, G., H. Gupta, A. Pitman, Y. Wang, R. Leuning, H. Cleugh, and K. Hsu, Neural Error Regression Diagnosis (NERD): A Tool for Model Bias Identification and Prognostic Data Assimilation, Journal of Hydrometeorology, 7(1), 160–177, 2006.
Hong, Y., K. 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, 42, W08421, 2006.
Moradkhani, H., K. Hsu, Y. Hong, and S. Sorooshian, Investigating the Impact of Remotely Sensed Precipitation and Hydrologic Model Uncertainties on the Ensemble Streamflow Forecasting, Geophysical Research Letters, 33(12), L12107, 10.1029/2006GL026855, 2006.
Lawford, R., M. Bosilovich, S. Eden, S. Benedict, C. Brown, A. Gruber, P. Houser, K. Hsu, J. Huang, W. Lau, T. Meyers, K, Mitchell, C. Peters- Lidard, J. Roads, M. Rodell, S. Sorooshian, D. Tarpley, and S. Williams, US Contribution to The Coordinated Enhanced Observation Period (CEOP), Bulletin of American Meteorological Society, 87(7), 927–939, 2006.
Hong, Y., Y-M Chiang, Y. Liu, K. Hsu, and S Sorooshian, Satellite-based Precipitation Estimation using Watershed Segmentation and Growing Hierarchical Self-Organizing Map, International Journal of Remote Sensing, 27(23), 5165-5184, 2006.
Hong, Y., D. Gochis, C. Cheng, K. Hsu, and S. Sorooshian, Evaluation of Satellite-based Rainfall Measurement Using NERN Gauge Network, Journal of Hydrometeorology, 8(3), 469-482, DOI:10.1175/JHM574.1, 2007
Chiang, Y. M., K. Hsu, F.-J. Chang, Y. Hong, and S. Sorooshian, Merging Multiple Precipitation Sources for Flood Forecasting, Journal of Hydrology, 340, 183-196, 2007.
Dai, A., X. Lin, K. Hsu, The Frequency, Intensity, and Diurnal Cycle of Precipitation in Surface and Satellite Observations over Low- and Mid-latitudes, Journal of Climate Dynamics, DOI 10.1007/s00382-007-0260-y, 2007.
Li, J., S. Sorooshian, W. Higgins, X. Gao, B. Imam, and K. Hsu, Influence of Spatial Resolution on Diurnal Variability During the North American Monsoon, Journal of Climate. 21(16), 3967-3988, 2008.
Hsu, K., H. Moradkhani, and S. Sorooshian, A Sequential Bayesian Approach for Hydrologic Model Selection and Prediction, Water Resources Research, 45, W00B12, doi:10.1029/2008WR006824, 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, 2009.
Behrangi, A., K.-L. Hsu, B. Imam, S. Sorooshian, and R.J. Kuligowski, Evaluating the Utility of Multispectral Information in Delineating the Areal Extent of Precipitation. J. Hydrometeor., 10, 684–700., 2009.
Khakbaz, B., B. Imam, K. Hsu, and S. Sorooshian, From Lump to Distributed Via Semi-Distributed: Calibration Strategies from Semi Distributed Hydrologic Models, Water Resources Research. 2009. Doi:10.1016/j.jhydrol.2009.02.021
Bellerby, T., K. Hsu, and S. Sorooshian, LMODEL: A Satellite Precipitation Algorithm Using Cloud Development Modeling and Model Updating. Part I: Model Development and Calibration, Journal of Hydrometeorology, 2009. 10(5), 1081-1095. DOI: 10.1175/2009JHM1091.1.
Hsu, K., T. Bellerby, and S. Sorooshian, LMODEL: A Satellite Precipitation Algorithm Using Cloud Development Modeling and Model Updating. Part II: Model Updating, Journal of Hydrometeorology, 2009. 10(5), 1096-1108. DOI: 10.1175/2009JHM1092.1.
Boushaki, F.I., K. Hsu, G-H Park, S. Mahani, and S. Sorooshian, Bias Adjustment of Satellite Precipitation Estimation Using Ground Measurement: A Case Study Over the Southwestern US, Journal of Hydrometeorologyy, 2009. 10(5), 1231-1242. DOI: 10.1175/2009JHM1099.1
Behrangi A., K. Hsu, B. Imam, S. Sorooshian, G. Huffman, and R.J. Kuligowski, Multi-spectral image classification and rainfall estimation, Journal of Hydrometeorology, 2009. DOI: 10.1175/2009JHM1139.1
Tain, Y., C.D. Peters-Lidard, J.B. Eylander, R.J. Joyce, G.J. Huffman, R.F. Adler, K. Hsu, F.J. Turk, M. Garcia, and J. Zeng, Component Analysis of Errors in Satellite-based Precipitation Estimates, JGR—Atmosphere. 114,D24101. DOI: 10.1029/2009JD011949. 2009.
Behrangi A., K. Hsu, B. Imam, S. Sorooshian, G. Huffman, and R.J. Kuligowski, PERSIANN-MSA: A Precipitation Estimation Method from Satellite-based Multi-spectral Analysis, Journal of Hydrometeorology,10(6), 1414-1429, 2010.
Behrangi, A., K. Hsu, B. Imam, and S. Sorooshian, 2009. Daytime Precipitation Estimation Using Bi-Spectral Cloud Classification System, Journal of Applied Meteorology and Climatology. 49(5), 1015-1031, 2010.
Juglea, S., Y. Kerr, A. Mialon, E. Lopez-Baeza, D. Braithwaite, and K. Hsu, Soil Moisture Modeling of a SMOS Pixel, Interest of Using the PERSIANN Database over the Valencia Anchor Station, Hydrol. Earth Syst. Sci., 14, 1509-1525, 2010.
Bae, H-K, B.H. Olson, K. Hsu, and S. Sorooshian, Classification and Regression Tree (CART) Analysis for Indicator Bacterial Concentration Prediction for a California Coastal Area, Water Science and Technology, 61(2), 545-553, 2010.
Behrangi, A., B. Imam, K. Hsu, S. Sorooshian, T.J. Bellerby, and G.J. Huffman, Rain Estimation using Forward Adjusted-advection of Microwave Estimates (REFAME), Journal of Hydrometeorology, 11, 1305-1321, 2010.
AghaKouchak, A., S. Sorooshian, B. Imam, K. hsu, and X. Gao, NASA Satellites Help Monitor the Pakistan Flooding: An Application of Near-Real-Time Satellite Observations. The Earth Observer, 22(6), 4-6, 2010.
Hsu, K., 2011. Hydrological Forecasting using ANN: A Sequential Bayesian Approach, Journal of Hydroinformatics, 13(1), 25-35, 2011.
Dong, X., X. Baike, A. Kennedy, Z. Feng, J.K. Entin, P.R. Houser, R.A. Schiffer, T. L’Ecuyer, W.S. Olson, K. Hsu, T. Liu, B. Lin, Y. Deng, and T. Jiang, Investigation of the 2006 Drought and 2007 Flood Extreme at the Southern Great Plains, JGR-Atmosphere, 116, D03204, doi:10.1029/2010JD014776, 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, 2011.
AghaKouchak, A. S. Sorooshian, A. Behrangi, K. Hsu, E. Amitai, Evaluation of Satellite-Retrieved Extreme Precipitation Rates Across the Central United States, , JGR-Atmosphere, 116, D02115, doi:10.1029/2010JD014741, 2011.
Sorooshian, S., J. Li, K. Hsu, and X. Gao, How Significant Is the Impact of Irrigation on the Local Hydroclimate in California? Central Valley’s Comparison of model results with ground and observational data, JGR-Atmosphere, 116, D06102, doi:10.1029/2010JD014775, 2011.
Kim, J.B, H.K. Bae, K. Hsu, and S. Sorooshian, Self-Organizing Linear Output (SOLO) Approach for Managing Total Coliform Indicator Bacteria on California Beaches, Journal of Coastal Research, 64, 1063-1067, 2011.
Hsu, K., J. Li, and S. Sorooshian, Improve Soil Moisture Estimation using In-situ and Remote Sensing Information, Paddy and Water Environment, DOI: 10.1007/s10333-011-0308-9, 2012.
Kidds, C., P. Bauer, J. Turk, G.J. Huffman, R. Joyce, K. Hsu, and D. Braithwaite, Inter-Comparison of High Resolution Precipitation Products over Northwest Europe. Journal of Hydrometeorology. 2012. doi: 10.1175/JHM-D-11-042.1
Nasrollahi, N., A. AghaKouchak, J. Li., X. Gao, K. Hsu, and S. Sorooshian, Assessing the Impact of Different WRF Precipitation Physics in Hurricane Simulations, Weather and Forecasting, 27(4), 1003-1016, 2012.
Mahrooghy, M., V.G. Anantharaj, N.H. Younan, and K. Hsu, Enhancements to the PERSIANN-CCS Algorithm, Journal of Atmospheric and Oceanic Technology, 29, 922-932, 2012. DOI: 10.1175/JTECH-D-11-00146.1
Behrangi, A., S. Sorooshian, and K. Hsu, Summertime Evaluation of REFAME for Near Real-Time High Resolution Precipitation Estimation over the United States, Journal of Hydrology. 456–457, 130-138, 2012. doi: 10.1016/j.jhydrol.2012.06.033.
Zahraei, A., K. Hsu, S. Sorooshian, J.J. Gourley, V. Lakshmanan, Y. Hong, and T. Bellerby. Short-term Quantitative Precipitation Forecasting: A Lagrangian Pixel-based Approach. Atmospheric Research. 118, 418-434, 2012. doi: 10.1016/j.atmosres.2012.07.001.
Sorooshian, S., J. Li, K. Hsu, and X. Gao, Influence of Irrigation Scheme Used in RCMs on ET Estimation: Results and Comparative Studies from California's Central Valley Agricultural Regions, Journal of Geophysical Research, 117, D06107, 2012
doi:10.1029/2011JD016978.
Zahraei, A., K. Hsu, S. Sorooshian, J.J. Gourley, Y. Hong, and A. Behrangi. Short-term Quantitative Precipitation Forecasting Using An Object-based Approach. Journal of Hydrology. 483, 1-15, 2013. doi: 10.1016/j.jhydrol.2012.09.052.
Hsu, K., S. Sellars, P. Nguyen, D. Braithwaite, and W. Chu, G-WADI PERSIANN-CCS GeoServer for Extreme Event Analysis, Sciences in Cold and Arid Regions, 5(1), 6-15, 2013. doi: 10.3724/SP.J.1226.2013.00006.
Mahrooghy, M., V.G. Anantharaj, N.H. Younan, W.A. Petersen, K. Hsu, A. Behrangi, and J. Aanstoos, Augmenting Satellite Precipitation Estimation with Lightning Information, International Journal of Remote Sensing. 34(16), 5796-5811, 2013. doi: 10.1080/01431161.2013.796100.
Katiraie-Boroujerdy, P-S, N. Nasrollahi, K. Hsu and S. Sorooshian, Evaluation of Satellite Based Precipitation Estimation Over Iran, Journal of Arid Environments, 97, 205-219, 2013. doi: 10.1016/j.jaridenv.2013.05.013.
Sellers, S., P. Nguyen, W. Chu, X. Gao, K. Hsu, and S. Sorooshian, Computational Earth Science: Big Data Transformed into Insight. EOS, Transactions American Geophysical Union, 94(32), 277-278, 2013. doi: 10.1002/2013EO320001
Nasrollahi, N., K. Hsu, and S. Sorooshian, Reducing False Alarm in Satellite Precipitation Products, Journal of Hydrometeorology, 14(4), 2013. doi:10.1175/JHM-D-12-0172.1.
Smith, M., V. Koren, Z. Zhang, F. Moreda, Z. Cui, B. Cosgrove, N. Mizukam, 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, K. Hsu, E. Todini, G. Coccia, C. Mazzetti, E.O. Andres, F. Frances; I. Orozco, R. Hartman, A. Henkel, P. Fickenscher, and S. Staggs, The Distributed Model Intercomparison Project - Phase 2: Experiment Design and Summary Results of the Western Basin Experiments, Journal of Hydrology, 507, 300-329, 2013. doi: 10.1016/j.jhydrol.2013.08.040.
Lo Conti, F., K. Hsu, L.V. Noto, and S. Sorooshian, Evaluation and Comparison of Satellite Precipitation Estimates with Reference to a Local Area in the Mediterranean Sea, Atmospheric Research, 138, 189-204, 2014. DOI: 10.1016/j.atmosres.2013.11.011
Chang, F-J, Y-M Chiang, M-J Tsai, M-C Shieh, K. Hsu, S. Sorooshian, Watershed Rainfall Forecasting Using Neuro—Fuzzy Networks with the Assimilation of Multi-sensor Information, Journal of Hydrology, 508, 374-384, 2014. doi: 10.1016/j.jhydrol.2013.11.011
Sultana R., K. Hsu, J. Li, and S. Sorooshian, Evaluating the Utah Energy Balance (UEB) Snow Model in the Noah Land Surface Model, Hydrology and Earth System Sciences, 18, 3553-3570, 2014. doi: 10.5194/hess-18-3553-2014
Nguyen, P., S. Sellers, A. Thorstensen, Y. Tao, H. Ashouri, D. Braithwaite, K. Hsu, and S. Sorooshian, Satellites Track Precipitation of Super typhoon Haiyan, EOS, Transactions American Geophysical Union, 95(16), 133-135, 2014. doi: 10.1002/2014EO160002.
Tao, Y., Q. Duan, Z. Ye, W. Gong, Z. Di, M. Xiao, and K. Hsu, An Evaluation of Post-Processed TIGGE Multimodel Ensemble Precipitation Forecast in the Huai River Basin, Journal of Hydrology, 519, 2890-2905, 2014. doi:10.1016/j.jhydrol.2014.04.040
Katiraie-Boroujerdy, P-S, N. Nasrollahi, K. Hsu and S. Sorooshian, Quantifying The Reliability of Four Global Datasets for Drought Monitoring Over A Semi-Arid Region, Theoretical and Applied Climatology, 1-15, 2015. doi:10.1007/s00704-014-1360-3.
Li, J., K. Hsu, A. AghaKouchak, and S. Sorooshian, An Object-based Approach for Verification of Precipitation Estimation, International Journal of Remote Sensing, 36(2), 513-529, 2015. doi: 10.1080/01431161.2014.999170
Ashouri, H., K. Hsu, S. Sorooshian, D. Braithwaite, K.R. Knapp, L.D. Cecil, B.R. Nelson, and O.P. Prat, PERSIANN-CDR: 33-year Multi-satellite High Resolution Global Daily Precipitation Data Record for Climate Studies, Bulletin of American Meteorological Society, 96, 69-83, 2015. doi:10.1175/BAMS-D-13-00068.1
Jaw, T. J., J. Li, K. Hsu, S. Sorooshian, and F. Driouech, Evaluation for Moroccan Dynamically-Downscaled Precipitation from GCM CHAM5 and Its Regional Hydrologic Response, Journal of Hydrology: Regional Studies, 3, 359-378, 2015. http://dx.doi.org/10.1016/j.ejrh.2015.02.008.
Nguyen, P., A. Thorstensen, S. Sorooshian, K. 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, 2015. doi: http://dx.doi.org/10.1175/JHM-D-14-0212.1.
Miao, C, H. Ashouri, K. Hsu, S. Sorooshian, and Q. Duan, Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China, Journal of Hydrometeorology, 16(3), 1387-1396, 2015. doi: http://dx.doi.org/10.1175/JHM-D-14-0174.1.
Nasrollahi, N., A. AghaKouchak, L. Cheng, L. Damberg, T.J. Phillips, K. Hsu, and S. Sorooshian, How Well Do CMIP Climate Simulation Replicate Historical Trends and Patterns of Meteorological Droughts? Water Resources Research, 51(4), 2847-2864, 2015. 10.1002/2014WR016318.
Sarachi, S., K. Hsu, S. Sorooshian, A Statistical Model for the Uncertainty Analysis of Satellite Precipitation Products, Journal of Hydrometeorology, 16, 2101-2117, 2015. doi: http://dx.doi.org/10.1175/JHM-D-15-0028.1
Thorstensen, A., P. Nguyen, K. Hsu, and S. Sorooshian, Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model, Journal of Hydrometeorology, 2015. (Accepted)
Nguyen, P., A. Thorstensen, K. Hsu, A. AghaKouchak, B. Sanders, M. Smith, V. Koren and S. Sorooshian, A High Resolution Coupled Hydrologic-hydraulic Model (HiResFlood-UCI) for Flash Flood Modeling, Journal of Hydrology. 2015. (Accepted).
Ashouri, H., S. Sorooshian, K. Hsu, M.G. Bosilovich, J. Lee, M. Wehner, and 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. 2015 (Accepted).
News Articles:
Hsu, K., S. Sorooshian, X. Gao, and B. Imam, Global Precipitation Observations from the PERSIANN System, GEWEX News, 13(3), 11-12, 2003.
Hong, Y., K. Hsu, S. Sorooshian, J. Shuttleworth, Satellites Provide Data to Estimate Rainfall at Global and Regional Scales, Southwest Hydrology, 3(1), 29, 2004.
AghaKouchak A., S. Sorooshian, B. Imam, K. Hsu, X. Gao, NASA Satellites Help Monitor the Pakistan Flooding: An Application of Near-Real-Time Satellite Observations, The Earth Observer, 22 (6), 4-6. 2010.
Hsu, K., S. Sorooshian, X. Gao, D. Braitewaite, and A. AghaKouchak, Monitoring Global Precipitation Using Satellites, SPIE Newsroom in Remote Sensing, October 2012. DOI: 10.1117/2.1201210.004475.
Professional Societies
American Geophysical Union (AGU)
American Meteorology Society (AMS)
Research Centers
Center for Hydrometeorology & Remote Sensing (CHRS) http://www.chrs.web.uci.edu/
Link to this profile
https://faculty.uci.edu/profile/?facultyId=5092
https://faculty.uci.edu/profile/?facultyId=5092
Last updated
11/02/2016
11/02/2016