KUO-LIN HSU

Associate Professor in Residence
Center for Hydrometeorology and Remote Sensing (CHRS)
Department of Civil and Environmental Engineering
University of California, Irvine

 

PUBLICATION

 

Book Chapters:

[B1]      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.

[B2]      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.

[B3]      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.

[B4]    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.

[B5]      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.

B6]       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.

B7]       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.

[B8]      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.

[B9]      AghaKouchak A., D. Easterling, K. Hsu, S. Schubert, S. Sorooshian (eds.), Extremes in a Changing Climate, Springer, 2012. ISBN# 978-94-007-4478-3

[B10]     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

[B11]    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.

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Journal Articles:

[J1]       Yih, V-J. and K. Hsu, The Difference Equation Representation of Watershed System and Parametric Model Identification, Taiwan Water Conservancy Quarterly, 34(4), 47-81, 1986.

[J2]       Chang, F-J. and K. Hsu, An Investigation of Two Low Flow Estimation Techniques, Taiwan Water Conservancy Quarterly, 38(1), 48-57, 1990.

[J3]       Chang, F-J. and K. Hsu, A Study of Fuzzy Set Theory for Streamflow Forecasting, Journal of Chinese Agricultural Engineering, 36(4), 1-12, 1990.

[J4]       Chang, F-J. and K. Hsu, The Characteristics of Synthetic Autoregressive Streamflow Series and Its Application, Journal of Chinese Agricultural Engineering, 37(4), 25-34, 1991.

[J5]       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.

[J6]       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.

[J7]       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.

[J8]       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.

[J9]       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.

[J10]     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.

[J11]     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.

[J12]     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.

[J13]     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.

[J14]     Tapiador, F.J., C. Kidd, K. Hsu, and F.S. Mazano, Neural Networks in Satellite Rainfall Estimation, Meteorological Applications, 11, 1-9, 2004. [PDF file]

[J15]     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. [PDF file]

[J16]     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. [PDF file]

[J17]     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. doi:10.1029/2004JD005301. [PDF file]

[J18]     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. doi:10.1029/2004WR003142. [PDF file]

[J19]     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. doi: 10.1029/2004WR003604. [PDF file]

[J20]     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. [PDF file]

[J21]     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. [PDF file]

[J22]     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. doi:10.1029/2005WR004398. [PDF file]

[J23]     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, 2006. doi: 10.1029/2006GL026855. [PDF file]

[J24]     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. [PDF file]

[J25]     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. doi: 10.1080/01431160600763428. [PDF file]

[J26]     Hong, Y., D. Gochis, C. Cheng, K. Hsu, and S. Sorooshian, Evaluation of Satellite-based Rainfall Measurement Using the NAME Event Rain Gauge Network, Journal of Hydrometeorology, 8(3), 469-482, 2007. doi:10.1175/JHM574.1. [PDF file]

[J27]     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. doi:10.1016/j.jhydrol.2007.04.007. [PDF file]

[J28]     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, 2007. doi: 10.1007/s00382-007-0260-y. [PDF file]

[J29]     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. doi: 10.1175/2008JCLI2022.1. [PDF file]

[J30]     Hsu, K., H. Moradkhani, and S. Sorooshian, A Sequential Bayesian Approach for Hydrologic Model Selection and Prediction, Water Resources Research, 45, W00B12, 2009. doi:10.1029/2008WR006824, [PDF file]

[J31]     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. [PDF file]

[J32]     Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, and R.J. Kuligowski, Evaluating the Utility of Multispectral Information in Delineating the Areal Extent of Precipitation. Journal of Hydrometeorology, 10, 684–700., 2009. doi: 10.1175/2009JHM1077.1. [PDF file]

[J33]     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, 10(5), 1081-1095, 2009. doi: 10.1175/2009JHM1091.1. [PDF file]

[J34]     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, 10(5), 1096-1108, 2009. doi: 10.1175/2009JHM1092.1. [PDF file]

[J35]     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, 10(5), 1231-1242. 2009. doi: 10.1175/2009JHM1099.1. [PDF file]

[J36]     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, Journal of Geophysical Research. 114, D24101. 2009. doi: 10.1029/2009JD011949. [PDF file]

[J37]     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, 2009. doi: 10.1175/2009JHM1139.1. [PDF file]

[J38]     Behrangi, A., K. Hsu, B. Imam, and S. Sorooshian, Daytime Precipitation Estimation Using Bi-Spectral Cloud Classification System, Journal of Applied Meteorology and Climatology. 49(5), 1015-1031, 2010. dio: 10.1175/2009JAMC2291.1. [PDF file]

[J39]     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. doi:10.5194/hess-14-1509-2010. [PDF file]

[J40]     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.doi: 10.2166/wst.2010.842. [PDF file]

[J41]     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. doi: 10.1175/2010JHM1248.1. [PDF file]

[J43]     Hsu, K., 2011. Hydrological Forecasting using ANN: A Sequential Bayesian Approach, Journal of Hydroinformatics, 13(1), 25-35, 2011. doi: 10.2166/hydro.2010.044. [PDF file]

[J44]     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, Journal of Geophysical Research, 116, D03204, 2011. doi:10.1029/2010JD014776. [PDF file]

[J45]     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. doi:10.1016/j.jhydrol.2010.11.043. [PDF file]

[J46]     AghaKouchak, A. S. Sorooshian, A. Behrangi, K. Hsu, E. Amitai, Evaluation of Satellite-Retrieved Extreme Precipitation Rates Across the Central United States, Journal of Geophysical Research, 116, D02115, 2011. doi:10.1029/2010JD014741. [PDF file]

[J47]     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, Journal of Geophysical Research, 116, D06102, 2011. doi:10.1029/2010JD014775. [PDF file]

[J48]     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. [PDF file]

[J49]     Khakbaz, B., B. Imam, K. Hsu, and S. Sorooshian, From Lump to Distributed Via Semi-Distributed: Calibration Strategies from Semi Distributed Hydrologic Models, Journal of Hydrology 418-419, 61-77, 2012. Doi:10.1016/j.jhydrol.2009.02.021. [PDF file]

[J50]     Hsu, K., J. Li, and S. Sorooshian, To Improve Soil Moisture Estimation using In-situ and Remote Sensing Information, Paddy and Water Environment, 2012. doi: 10.1007/s10333-011-0308-9. [PDF file]

[J51]     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. 13, 67-83, 2012. doi: 10.1175/JHM-D-11-042.1. [PDF file]

[J52]     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. doi: 10.1175/WAF-D-10-05000.1. [PDF file]

[J53]     Mahrooghy, M., V.G. Anantharaj, N.H. Younan, J. Aanstoos, and K. Hsu, On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation, Journal of Atmospheric and Oceanic Technology, 29, 922-932, 2012. doi: 10.1175/JTECH-D-11-00146.1. [PDF file]

[J54]     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. [PDF file].

[J55]     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. [PDF file]

[J56]     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. [PDF file]

[J57]     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. [PDF file]

[J58]     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. [PDF file]

[J59]     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. [PDF file]

[J60]     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. [PDF file]

[J61]     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. [PDF file]

[J62]     Nasrollahi, N., K. Hsu, and S. Sorooshian, An Artificial Neural Network Model to Reducing False Alarm in Satellite Precipitation Products Using MODIS and CloudSat Observations, Journal of Hydrometeorology, 14(4), 1872-1883, 2013. doi:10.1175/JHM-D-12-0172.1. [PDF file]

[J63]     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. [PDF file]

[J64]     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. [PDF file]

[J65]     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. [PDF file]

[J66]     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. [PDF file]

[J67]     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. [PDF file]

[J68]     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. [PDF file]

[J69]     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. [PDF file]

[J70]     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. [PDF file]

[J71]     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. [PDF file]

[J72]     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. [PDF file]

[J73]     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. [PDF file]

[J74]     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. [PDF file]

[J75]     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. [PDF file]

[Paper #1]     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. [PDF file]

[Paper #2] Nguyen, P., A. Thorstensen, S. Sorooshian, K. Hsu, A. AghaKouchak, B. Sanders, M. Smith, and V. Koren, A High Resolution Coupled Hydrologic-hydraulic Model (HiResFlood-UCI) for Flash Flood Modeling, Journal of Hydrology. 2015. doi:10.1016/j.jhydrol.2015.10.047.[PDF file]

[Paper #3] Thorstensen, A., P. Nguyen, K. Hsu, and S. Sorooshian, Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model, Journal of Hydrometeorology, 17, 571-590, 2016. doi: 10.1175/JHM-D-15-0071.1. [PDF file]

[Paper #4] 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. 17, 694-711, 2016. doi: 10.1175/JHM-D-15-0097.1. [PDF file]

[Paper #5] Yang, Z., K. Hsu, S. Sorooshian, X. Xu, D. Braithwaite, and K.M.J. Verbist, Bias Adjustment of Satellite-based Precipitation Estimation Using Gauge Observations: A Case Study in Chile, Journal of Geophysical Research: Atmospheres. 2016. doi: 10.1002/2015JD024540 (Accepted) [PDF file]

[Paper #6] Ashouri, H., P. Nguyen, A. Thorstensen, K. Hsu, S. Sorooshian, and D. Braithwaite, Assessing the efficacy of High-Resolution Satellite-based PERSIANN-CDR Precipitation Product in Simulating Streamflow, Journal of Hydrometeorology, 2016. (Accepted) [PDF file]

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News Articles

[N1]     Hsu, K., S. Sorooshian, X. Gao, and B. Imam, Global Precipitation Observations from the PERSIANN System, GEWEX News, 13(3), 11-12, 2003.

[N2]     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.

[N3]     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. [PDF file]

[N4]     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. [PDF file]

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Technical Reports:

[T1]      Hsu, K., H.V. Gupta, and Soroosh Sorooshian, A Superior Training Strategy for 3-Layer Feedforward Artificial Neural Networks, Technical Report, HWR No. 96-030, Published by Department of Hydrology and Water Resources, University of Arizona, 1996.

[T2]      Hsu, K., H.V. Gupta, and S. Sorooshian, Rainfall Estimation from Satellite Infrared Imagery Using Artificial Neural Networks, Technical Report, HWR No. 97-010, Published by Department of Hydrology and Water Resources, University of Arizona, 1997.

[T3]      Hong, Y., K. Hsu, and S. Sorooshian, An Automatic Segmentation Algorithm for Cloud Infrared Satellite Images: Incremental Temperature Threshold. Technical Report. No. 03-020, Department of Hydrology and Water Resources, The University of Arizona, 2003.

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Conference Proceedings:

[CP1]    Yih, V-J. and K. Hsu, A Study on Rainfall Spatial Distribution in the Tanshui River Basin by Principal Component Analysis and Cluster Analysis, Proceedings of the 5th Conference on Hydraulic Engineering, Tai-Nan, Taiwan, July 6-7, 1990, Published by the Chinese Association of Civil and Hydraulic Engineering, pp. 122-136, July, 1990.

[CP2]    Hsu, K., E.C. Ozelkan, and L. Duckstein, Fuzzy Regression-Based Rainfall Runoff Estimation, Sixth Annual Symposium of the Arizona Hydrological Society, Casa Grande, Arizona, 23-24 September, 1993.

[CP3]    Hsu, K., H.V. Gupta, S. Sorooshian, and X. Gao, An Artificial Neural Network Model for Rainfall Estimation from Satellite Infrared Imagery, In: Applications of Remote Sensing in Hydrology, Proceedings of the Third International Workshop, NHRI Symposium No. 17, October 1996, NASA Goddard Space Center, Greenbelt, MD, USA, Edited by G.W. Kite, A. Pietroniro, and T.J. Pultz, Published by National Hydrology Research Institute, 11 Innovation Boulevard, Saskatoon, Saskatchewan, Canada S7N 3H5, pp. 83-93, 1997.

[CP4]    Hsu, K., H.V. Gupta, and S. Sorooshian, Application of Recurrent Neural Networks to Rainfall-Runoff Modeling, ASCE Water Resources Planning and Management Division Conference, Houston, Texas, 7-10 April, 1997.

[CP5]    Gupta, H.V., K. Hsu, and S. Sorooshian, Superior Training of Artificial Neural Networks Using Weight-Space Partitioning, Proceedings of the IEEE 1997 International Conference on Neural Networks (ICNN’97), 9-12 June, Houston, Texas, 1997, Vol. 3, pp. 1919-1923, Published by IEEE Service Center, 445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, p. 2030, 1997.

[CP6]    Hsu, K., S. Sorooshian, X. Gao, and H.V. Gupta, Rainfall Estimation Using an Artificial Neural Network, First Conference on Artificial Intelligence, Phoenix, Arizona, 13-14 January, 1998.

[CP7]    Hsu, K., H.V. Gupta, and S. Sorooshian, Streamflow Forecasting Using Artificial Neural Network Models, 1998 ASCE International Water Resources Engineering Conference, Memphis, Tennessee, 3-7 August, 1998.

[CP8]    Hsu, K., S. Sorooshian, H.V. Gupta, X. Gao, and B. Imam, Hydrologic Modeling and Analysis Using A Self-Organizing Linear Output Network, International Environmental Modeling and Software Society Conference, Lugano, Switzerland, 24-27 June, 2002.

[CP9]    Hsu, K. X. Gao, and S. Sorooshian, Rainfall Estimation Using Cloud Classification Texture Map, 1st International Precipitation Working Group Workshop, Madrid, 23-27 September, 2002.

[CP10] Gao, X., K. Hsu, S. Mahani, and S. Sorooshian, Global Rainfall monitoring Using PERSIANN System, International Conference of GIS and Remote Sensing in Hydrology, Water Resources and Environment, At Three Gorges Dam Construction Site, China, 16-19 September, 2003.

[CP11] Hong, Y., K. Hsu, S. Sorooshian, Precipitation Estimation from Remotely Sensed Information — A Passive Microwave/IR Algorithm using Cloud Classification System, in Proceeding of 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, 2003.

[CP12] Moradkhani, H., S. Sorooshian, H. Gupta, P.R. Houser, K. Hsu, Sequential Data Application Framework for Hydrologic State-Parameters Estimation and Ensemble Forecasting, CAHMDA-II International Workshop on The Terrestrial Water Cycle: Modeling and Data Assimilation across Catchment Scales, Princeton, NJ, 25-27 October, 2004.

[CP13]  Yilmaz, K., H. Gupta, T. Hogue, K. Hsu, T. Wagener, S. Sorooshian, S., Evaluating the Utility of Satellite-based Precipitation Estimates for Flood Forecasting in Ungauged Basins, VIIth IAHS Scientific Assembly, Foz do Iguaçu, Brazil, 3-9 April, 2005.

[CP14] Hsu, K, Y. Hong, and S. Sorooshian, Self-Organizing Nonlinear Output Map (SONO): An Artificial Neural Network for Cloud Cloud-Patch-Based Rainfall Estimation, 4rd Conference on Artificial Intelligence Applications to Environmental Science, San Diego, CA, 11 January, 2005.

[CP15]  Sorooshian, S., K. Hsu, Y. Hong, 2005, Global Precipitation Estimation from Satellite Image Using Artificial Neural Networks, UNESCO science meeting on Water And Development Information for Arid Lands-A Global Network, Feb. 2005, India.

[CP16] Moradkhani, H, K. Hsu, N. Ajami, and S. Sorooshian, On Particle Filtering Monte Carlo Approach to Sequential Hydrometeorological Data Assimilation, in Land Surface and Hydrologic Data Assimilation, The 85th AMS Annual Meeting, San Diego, CA, 10 January, 2005.

[CP17]  Hsu, K. and S. Sorooshian, Hydrologic Forecasting Using Artificial Neural Networks: A Bayesian Sequential Monte Carlo Approach, International Workshop on Advances in Hydroinformatics, Niagara Falls Canada, 4-7 June, 2007.

[CP18]  Moradkhani, H., K. Hsu, and S. Sorooshian, Toward Improved Hydrologic Prediction with Reduced Uncertainty using Sequential Multi-Model Combination, World Environmental and Water Resources Congress, Honolulu, Hawaii, May 12-16, 2008.

[CP19]  Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, G.J. Huffman, and R.J. Kuligowski, Utilization of Multi-spectral Images for Delineating the Area Extent and Intensity of Precipitation. 4th International Precipitation Working Group Workshop on Precipitation Measurements, Beijing, China, 13-17 October, 2008.

[CP 20] Lo Contia, F., K. Hsu, L.V. Notoa, S. Sorooshian, S. Palermo, Evaluating several satellite precipitation estimates and global ground-based dataset on Sicily (Italy), Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 853106, October 19, 2012; doi:10.1117/12.974669.

 

CD-ROMS

[CD1]   Sorooshian, S., K. Hsu, X. Gao, H.V. Gupta, B. Imam, D.K. Braithwaite, D. Goodrich, S. Mahani, L. Xu, and Q. Fan, “PERSIANN 1ox1o 6-Hour Precipitation Estimates, August 1998-July 1999", HyDis Product #1, Version 1, Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona, April 2000.

[CD2]   CHRS, “PERSIANN-CCS 0.12o x 0.12o 6-Hour Precipitation Estimates, Southwestern U.S. Jan. 2002-Dec. 2003”, Product #2, Version 1, Department of Civil and Environmental Engineering, University of California, Irvine, April 2004.

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Conference Presentations/ Public Lectures:

[C1]      Hsu, K., S. Sorooshian, V.K. Gupta, and X. Gao, Application of Artificial Neural Network Models in Rain Rate Retrieval from Satellite Passive Microwave Imagery, AGU Spring Meeting, Baltimore, Maryland, 23-27 May, 1994, Published by American Geophysical Union as a Supplement to Eos, Transactions, p. 91, 1994.

[C2]      Hsu, K., S. Sorooshian, V.K. Gupta, and X. Gao, Application of Artificial Neural Network Models in Rain Rate Retrieval from Satellite Passive Microwave Imagery, Western Pacific Geophysics Meeting, Hong Kong, 25-29 July, 1994, Published by American Geophysical Union as a Supplement to Eos, Transactions, p. 31, June 21, 1994.

[C3]      Hsu, K., X. Gao, and S. Sorooshian, “Monthly Rainfall Estimation Using Satellite Infrared Imagery,” AGU Spring Meeting, Baltimore, Maryland, Published by American Geophysical Union as a Supplement to Eos,Transactions, p. S108, 30 Ma-2 June, 1995.

[C4]      Hsu, K., Monthly Rainfall Estimation Using Satellite Infrared Imagery, 5th Annual Hydrology Research Exposition, "El Dia Del Agua," Published by the Department of Hydrology and Water Resources, University of Arizona, 22 March, 1995.

[C5]      Hsu, K., (Invited) Rainfall Estimation from Satellite Infrared Imagery Using Artificial Neural Networks, Department of Hydrology and Water Resources, University of Arizona, 9 October, 1996.

[C6]      Hsu, K., X. Gao, H.V. Gupta, and S. Sorooshian, Estimation of Monthly Rainfall by Integrating Satellite Imagery and Ground-truth Data, AGU Fall Meeting, San Francisco, California, December 15-19, 1996, Published by American Geophysical Union as a Supplement to Eos, Transactions, AGU, Vol. 77, No. 46, p. F176, 12 November, 1996.

[C7]      Hsu, K., H.V. Gupta, X. Gao, and S. Sorooshian, Analysis of Regional and Seasonal Variation of Rainfall Using Ground- and Satellite-based Estimates, AGU Spring Meeting, Baltimore, Maryland, May 27-30, 1997, Published by American Geophysical Union as a Supplement to Eos, Transactions, AGU Vol. 78, No. 17, p. S162, 12 November, 1997.

[C8]      Hsu, K., X. Gao, S. Sorooshian, and H.V. Gupta, Combination of Satellite Infrared and Visible Imagery for Rainfall Estimation Using an Artificial Neural Network, AGU Spring Meeting, Boston, Massachusetts, 26-29 May, 1998.

[C9]      Hsu, K., X. Gao, and S. Sorooshian, Tropical Rainfall Estimation Using Combined Infrared and Microwave Imagery from Multiple Geostationary and Polar-Orbiting Satellites, Sixth International Conference on Precipitation: Predictability of Rainfall at All Scales, Mauna Lani Bay, Hawaii, 29 June -1 July, 1998.

[C10]    Hsu, K., H.V. Gupta, S. Sorooshian, and X. Gao, An Artificial Neural Network Suitable for Recognition and Prediction Applications in Hydrology, Western Pacific Geophysics Meeting, Taipei, Taiwan, 21-24 July, 1998.

[C11]    Hsu, K., X. Gao, and S. Sorooshian, Rainfall Estimation Using Satellite-Based Cloud Classification Maps, The 7th International Conference on Precipitation: Predictability of Rainfall at All Scales, Rockport, Maine, 30 June-3 July 3, 2001.

[C12]    Hsu, K., Cloud Classification and Rainfall Estimation Using GOES Imagery, SAHRA Annual Meeting, 25 February-1 March, 2002.

[C13]    Hsu, K., S. Sorooshian, X. Gao, B. Imam, and H. Gupta, Rainfall Estimation from the PERSIANN Satellite-based Algorithm, 27th General Assembly of the European Geophysical Society, Nice, France, 21-26 April, 2002.

[C14]    Hsu, K., S. Sorooshian, Y. Hong, and X. Gao, Cloud Classification and Rainfall Estimation Using GOES Imagery, International Conference on Quantitative Precipitation Forecasting (QPF), University of Reading, United Kingdom, 2-6 September, 2002.

[C15]    Sorooshian, S., H.V. Gupta, and K. Hsu, (Invited), Applications of Systems Approaches to Hydrologic Sciences, System and Industrial Engineering, University of Arizona, 27 February, 2003.

[C16]    Hsu, K., Integrating Multiple Satellite Information for Precipitation Observation, 3rd International Implementation Planning Meeting for CEOP, UC Irvine, 8-10 March, 2004.

[C17]    Hsu, K., Evaluation of Precipitation Output from Mesoscale Atmospheric Models, SAHRA Integrated Modeling Workshop, New Mexico Institute of Mining and Technology, Albuquerque, New Mexico, 8-9 April, 2004.

[C18]    Hsu, K., Precipitation Estimation Using Remote Sensing Data, SAHRA Integrated Modeling Workshop, New Mexico Institute of Mining and Technology, Albuquerque, New Mexico, 8-9 April, 2004.

[C19]    Hsu, K., Hydrologic Applications of Satellite Precipitation Data at Short Spatial and Temporal Scale, GEWEX GPCP Assessment meeting, Cooperative Institute for Climate Studies, University of Maryland, College Park, Maryland, 3-4 August, 2004

[C20]    Hsu, K., S. Sorooshian, and F. Ishak-Boushaki, Error Analysis of PERSIANN Precipitation Estimates, 8th International Conference on Precipitation: Quantifying Uncertainties in Precipitation Measurements, Estimates, and Forecasts, Vancouver, Canada, 8-11 August, 2004.

[C21]    Hsu, K., (Invited) Precipitation Estimation from Multiple Satellites, Dept. of Bioenvironmental System Engineering, National Taiwan University, 2 September, 2004.

[C22]    Hsu, K., Global Precipitation Estimation Using Satellite Data, International Summer School  on Atmospheric and Oceanic Science (ISSAOS), L’Aquila, Italy, 28 August-2 September, 2005.

[C23]    Hsu, K., Merging Precipitation Data for Hydrologic Modeling, International Summer School on Atmospheric and Oceanic Science (ISSAOS), L’Aquila, Italy, 28 August-2 September, 2005.

[C24]    Hsu, K., Streamflow Forecasting using Artificial Neural Networks, International Summer School  on Atmospheric and Oceanic Science (ISSAOS), L’Aquila, Italy, 28 August-2 September, 2005.       

[C25]    Hsu, K., X. Gao, and S. Sorooshian, Statistical Retrieval of Rain Profiles from TMI Multi-Channel Imagery, The 2nd TRMM International Science Conference, Nara, Japan, 6-10 September, 2004.

[C26]    Hsu, K., D. Braithwaite, B. Imam, X. Gao, and S. Sorooshian, The Use of PERSIANN Data for Hydrologic Applications, 5th International Scientific Conferences on the Global Energy and Water Cycle, Orange County, CA, 20-24 June, 2005.

[C27]    Hsu, K., (Invited) Hydrologic Modeling using Multiple Satellite Precipitation Estimates, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, April 29, 2005.

[C28]    Hsu, K., (Invited) Development of Multiple Satellite Precipitation Measurement for Hydrologic Applications, City Colleague New York, New York, 9 September, 2005.

[C29]    Hsu, K., Uncertainty Assessment of Hydrologic Model Parameters using Bayesian Filter, International Conference of Systems Analysis and Applications, Taipei, Taiwan, 11 July, 2005.

[C30]    Hsu, K., S. Sorooshian, X. Gao, Retrieval of Winter Precipitation using TRMM TMI Imagery, The 3rd TRMM International Science Conference, Monterey, California, 12-16 December, 2005.

[C31]    Hsu, K., S. Sorooshian, D. Braithwaite, P.A. Arkin, and M.R.P. Sapiano, Evaluation of High Resolution Satellite-based Precipitation Estimates Using CEOP Gauge Observations, 2nd International Symposium on Quantitative Precipitation Forecasting and Hydrology, Boulder Colorado, 4-8 June, 2006.

[C32]    Hsu, K., F. Boushaki, and S. Sorooshian, Effective Merging of Precipitation Data for Hydrological Forecasting, AGU Spring Meeting, Baltimore, Maryland, 23-26 May, 2006.

[C33]    Moradkhani, H, K. Hsu, S. Sorooshian, S, Analysis of Uncertainty in Operational Hydrologic Forecasting by Sequential Assimilation of Remotely-Sensed Precipitation. Western Pacific Geophysics Meeting, Beijing China, 24-27 July, 2006.

[C34]    Hsu, K, X. Gao, and S. Sorooshian, Winter Rainfall Retrieval from Satellite Imagery Using ART Networks, Western Pacific Geophysics Meeting, Beijing China, 24-27 July, 2006.

[C35]    Hsu, K, Moradkhani, H, and Sorooshian, S, Uncertainty Analysis of ANN Models in The Watershed Runoff Forecasting, Western Pacific Geophysics Meeting, Beijing China, 24-27 July, 2006.

[C36]    Hsu, K., Merging Satellite-Based and Gauge Rainfall Data for Hydrologic Forecasting. Reservoir Workshop, Beijing, China, 28 July, 2006.

[C37]    Hsu, K. (Invited), Calibration and Uncertainty Analysis of Hydrologic Models, Department of Resources Engineering, National Cheng-Kung University, Tainan, Taiwan, 10 August, 2006.

[C38]    Hsu, K., D. Braithwaite, S. Sorooshian, P.A. Arkin, and M.R.P. Sapiano, Evaluation of Satellite-Based Precipitation Estimates Using CEOP Gauge Data, 3rd International Precipitation Working Group (IPWG) Workshop, Bureau of Meteorology, Melbourne, Australia, 23-27 October, 2006.

[C39]    Hsu, K., F. Boushaki, and S. Sorooshian, Basin Scale Precipitation Data Merging Using Markov Chain Monte Carlo Method, 3rd International Precipitation Working Group (IPWG) Workshop, Bureau of Meteorology, Melbourne, Australia, 23-27 October, 2006.

[C40]    Hsu, K. F. Boushaki, Y. Hong, D. Braithwaite, S. Sorooshian, Global PERSIANN Rainfall Estimates, GEWEX Working Group of Data Management and Analysis, College Park, Maryland, 13-15 November, 2006.

[C41]    Hsu, K., S. Soroosh, and D. Braithwaite, (Invited), Evaluation of Satellite-based Rainfall Estimates using CEOP Data, AGU Fall Meeting, San Francisco, California, 11-15 December, 2006.

[C42]    Hsu, K. and S. Sorooshian, PERSIANN Global Precipitation Analysis, the 3rd IGWCO Meeting, National Academy of Science, Washington D.C., 14-17 May, 2007.

[C43]    Hsu, K., T. Bellerby, and S. Sorooshian, An Empirical Satellite-based Cloud Development Model for Rainfall Estimation, The 3rd International TRMM Science Conference, Las Vegas, NV, 4-8 February, 2008.

[C44]    Hsu, K., F. Boushaki, and S. Sorooshian, Merging Satellite-based Precipitation Estimates for Watershed Hydrologic Simulation, The 3rd International TRMM Science Conference, Las Vegas, NV, 4-8 February, 2008.

[C45]    Hsu, K., D. Braithwaite, B. Imam, X. Gao, and S. Sorooshian, Bias Adjustment of PERSIANN Rainfall for Hydrologic Applications, AGU 2008 Joint Assembly, Fort Lauderdale, 27-30 May, 2008.

[C46]    Hsu, K. Research Activities at the Center for Hydrometeorology and Remote Sensing, UC Irvine, Invited Seminar, Department of Bioenvironmental Systems Engineering, 17 September, 2008.

[C47]    Hsu, K. Global Precipitation Measurement: PERSIANN Status, GEWEX Radiation Panel (GRP) Working Group of Data Management and Analysis (WGDMA) Meeting, 22-24 September Hong Kong, China. 2008.

[C48]    Hsu, K. and S. Sorooshian, A Sequential Monte Carlo Approach for Streamflow Forecasting, AGU Fall Meeting, 15-19 December, 2008. San Francisco, California. 2008.

[C49]    Hsu, K. (Invited). Precipitation Monitoring and Streamflow Forecasting Using ANN Models, 7th Conference on Artificial Intelligence Applications to Environmental Science, 89th Annual Meeting American Meteorological Society, 11-15 January, 2009. Phoenix Arizona. 2009.

[C50]    Hsu, K., Quantify Error of Precipitation Measurement from GPM Ground Validation Data for Hydrologic Study, GPM Hydrologic Validation Seminar, 2-3 June, 2009. University of Iowa, 2009.

[C50]    Hsu, K., T. Bellerby, and S. Sorooshian, Real-time Precipitation Estimation using LEO and GEO Satellite Information, GOES-R AWG & Rick Reduction Review Meeting, 20-24 July, 2009. University of Maryland, Maryland. 2009.

[C51]    Hsu, K. (Invited), Data Assimilation in Hydrologic Applications, Water Resources Agency, Flood Mitigation Meeting, 13 July. 2009. Taipei, Taiwan. 2009.

[C52]    Hsu, K. (Invited), Remote Sensing Precipitation for Hydrologic Applications, Water Resources Agency, 14 July, 2009, Flood Mitigation Meeting, Taipei, Taiwan. 2009.

[C53]    Hsu, K. Precipitation Products for Water Resources Management, GEOSS Workshop XXXIII—Using Earth Observation for Water Management, San Francisco, December 18, 2009.

[C54]    Hsu, K., H. Moradkhani, S. Sorooshian, Hydrologic Model Selection using a Sequential Model Approach, AGU Fall Meeting, 14-19 December, 2009. San Francisco, California. 2009.

[C55]    Hsu, K., T.J. Bellerby, and S. Sorooshian, Effective Estimation of Precipitation using GEO and LEO satellites Information, West Pacific Geophysics Meeting, 22-25 June, 2010. Taipei, Taiwan, 2010.

[C56]    Hsu, K., J. Li, and S. Sorooshian, Effective Assimilation of Remote Sensing and In-situ Measurement to Improve Soil Moisture Estimation of NOAH LSM., West Pacific Geophysics Meeting, 22-25 June, 2010. Taipei, Taiwan, 2010.

[C57]    Hsu, K., A. Zahraei and S. Sorooshian, Severe Storm Nowcasting Using Cloud Advection Fields,  AGU Fall Meeting, 13-17 December, 2010, San Francisco, CA. 2010.

[C58]    Hsu, K., J. Li, and S. Sorooshian (Invited), Improving Soil Moisture Estimation using In-Situ and Remote Sensing Information: A Data Assimilation Approach. PAWEES International Conference, 27-28 October, 2011. Taipei, Taiwan, 2011.

[C59]    Hsu, K. (Invited), Remote Sensing Precipitation Studies at the Center for Hydrometeorology and Remote Sensing, UC Irvine. 2011 Taiwan-US Science and Technology Workshop for International Collaborative Research, 14-15 November, 2011. Chung-li, Taiwan, 2011.  

[C60]    Hsu, K. (Invited) Precipitation Estimation from Multi-satellite Information. 16th November, Department of Atmospheric Science, National Central University, Chung-li, Taiwan, 15 November, 2011.

[C61]   Hsu, K. (Invited), A Machine Learning Approach for Precipitation Estimation from Multiple Satellite Information. American Meteorological Society Annual Meeting, 22-26 January, 2012. New Orleans, LA. 2012.

[C62]    Hsu, K., A. Behrangi, and S. Sorooshian, Integration of PERSIANN-CCS to the GPM Multi-satellite Precipitation Retrieval Algorithm, the 6th Workshop of the International Precipitation Working Group (IPWG), 15-19 October, 2012. Sao Jose dos Campo, Brazil, 2012.

[C63]    Hsu, K. (Invited), Precipitation Estimation Using Multiple Satellite Information, 2012 Yangling International Agri-Science Forum, 4-7 November, 2012, Yangling, China.

[C64]    Hsu, K. (Invited), Satellite-based Precipitation Measurement for Extreme Hydrologic Event Monitoring, American Geophysics Union Spring Meeting, 13-16 May, 2013. Cancun, Mexico 2013.

[C65]    Hsu, K. (Invited) Remote Sensing Precipitation and Hydrologic Data Assimilation. Department of Geomatic, 7 October, 2013, National Cheng-Kung University, Tainan, Taiwan, 2013.

[C66]    Hsu, K. (Invited), Precipitation Climate Data for Hydrologic Applications, Department of Resources Engineering, 8 October, 2013, National Cheng-Kung University, Tainan, Taiwan, 2013.

[C65]    Hsu, K. (Invited), Utilizing PERSIANN Satellite-based Precipitation Dataset for Hydrologic Applications, American Geophysics Union Fall Meeting, 9-13 December, 2013. San Francisco, 2013.

[C66]    Hsu, K., Remote Sensing Precipitation, UNESCO GWADI Working Meeting-Data and Product for Hydrologic Extremes, 22-23 April, 2014, Irvine, California.

[C67]    Hsu, K., S. Sorooshian, H. Ashouri, and D. Braithwaite, Recent Development of PERSAINN Precipitation Estimation. 7th International Science Conference on the Global Water and Energy Cycle, Hague, Netherlands, 14-17 July, 2014.

[C68]    Hsu, K., Remote Sensing Precipitation and Its Application in Hydrologic Modeling, International Workshop on River Basin modeling, observation and Data Assimilation, Aug. 15-16, 2014, Lanzhou, China.

[C69]    Hsu, K., PERSIANN Global Precipitation Estimation, 3rd Remote Sensing and Hydrology Symposium & 3rd International Conference of GIS/RS in Hydrology, Water Resources and Environment, 24-27, July 2014, Guangzhou, China.

[C70]    Hsu, K. (Invited), Quantitative Precipitation Estimation using Satellite Information, Taiwan Typhoon and Flood Research Institution, 5 September, 2014, Taipei, Taiwan.

[C71]    Hsu, K., Rainfall Estimation using Spatiotemporal Evolution of GEO Multispectral Imagery, International Precipitation Working Group (IPWG) Meeting, 17-21 November, 2014, Tsukuba, Japan.

[C71]    Hsu, K., H. Ashouri, D. Braithwaite, and S. Sorooshian, PERSIANN-CDR: A Daily Precipitation Data Record, 17-21 November, 2014, Tsukuba, Japan.

[C72]    Hsu, K. (Invited), Satellite Precipitation Estimation for Hydrologic Applications, International Centre for Water Hazard and Risk Management (ICHARM), 18 November, 2014, Tsukuba, Japan.

[C73]    Hsu, K., Remote Sensing Precipitation Data for Eco-Development Studies, 8th Annual Meeting of US/China EcoPartnerships on Wetland Research and Eco-Development, 7-9 December, 2014. Irvine, California.

[C74]    Hsu, K. (Invited) Development and Application of Satellite-based Precipitation Estimation in Hydroclimatological Studies, Research Center for Environmental Changes, Academia Sinica, Taiwan, August 26, 2015.

[C75]    Hsu, K., Development of Global Precipitation Estimation System Using Artificial Neural Network Models, American Geophysics Union Fall Meeting, 14-18 December, 2015. San Francisco, 2015.

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Co-Author’s Presentations:

[CA1]   Sorooshian, S., K. Hsu, X. Gao, and D.K. Braithwaite, Development of a Neural Network System to Estimate Rainfall from GOES Satellite Imagery, Second International Scientific Conference on the Global Energy and Water Cycle, Washington, DC., 17-21 June, 1996.


[CA2]   Sorooshian, S., X. Gao, and K. Hsu, An Analysis of Satellite Rainfall Estimation Using GOES Precipitation Index (GPI) and Artificial Neural Networks in Japanese and Surrounding Ocean Regions, International Conference on Water Resources and Environment Research: Toward the 21st Century, Organized by Water Research Center, Kyoto University, 29-31 October, 1996, Kyoto, Japan.

[CA3]   Sorooshian, S., K. Hsu, X. Gao, and H.V. Gupta, Rainfall Estimation from Combined SSM/I and GOES Imagery Using Artificial Neural Networks, AGU Spring Meeting, Baltimore, Maryland, May 27-30, 1997, Published by American Geophysical Union as a Supplement to Eos, Transactions, AGU, Vol. 78, No. 17, p. S163, 12 November, 1997.

[CA4]   Sorooshian, S., K. Hsu, X. Gao, Rainfall Estimation from Combined Satellite Imagery Using AIP/I Data Around the Japanese Islands, Western Pacific Geophysics Meeting, Taipei, Taiwan, 21-24 July, 1998.

[CA5]   Sorooshian, S., K. Hsu, and X. Gao, Tropical Rain Estimation Over the Pacific Ocean Region Using Geostationary Imagery Combined with the TRMM Rain Data, The Third International Scientific Conference on The Global Energy and Water Cycle, Beijing, China, 16-19 June, 1999.

[CA6]   Gao, X., K. Hsu, S. Sorooshian, and H.V. Gupta, Evaluation of Tropical Rainfall Estimates Derived Using TRMM and GOES Satellite Data, Progress In Electromagnetic Research Symposium (PIERS), Cambridge, Massachusetts, 5-14 July, 2000.

[CA7]   Sorooshian, S., X. Gao, K. Hsu, and J. Li, Rainfall Diurnal Cycle and Cloud Profile Evaluation Using TRMM Satellite Rainfall Estimates, TRMM Science Meeting, Greenbelt, Maryland, 30 October-2 November, 2000.

[CA 8]  Moradkhani, H., K. Hsu, H.V. Gupta, and S. Sorooshian, A Hybrid Architecture of Neural Network in Daily Streamflow forecasting, Presented at the AGU Fall Meeting, San Francisco, California, December 10-14, 2001.

[CA9]   Hong, Y., K. Hsu, X. Gao, and S. Sorooshian, Diurnal Variability of Tropical Rainfall Retrieval from Combined GOES and TRMM Satellite Information, EOS Trans. AGU, 82(11), Spring Meeting Supplemental, Abstract B51A-17, Boston, MA, May 2001.

[CA10]  Gupta, H.V., S. Sorooshian, X. Gao, L. Bastidas, K. Hsu, B. Imam, and S. Mahani, The Role of Mathematical Models in the Sustainability of Water Resources Systems, International Conference on Hydraulic Structures, Kerman, Iran, 1-2 May, 2001.

[CA11]  Gao, X., K. Hsu, S. Sorooshian, R.A. Maddox, Y. Hong. H.V. Gupta, and Bisher Imam, Diurnal Variability of Tropical Rainfall Retrieved from Combined GOES and TRMM Satellite Data, The 4th International GEWEX Conference, Paris, France, 10-16 September, 2001.

[CA12]  Bastidas, L., K. Hsu, I. Yucel, S. Sorooshian, and J. Shuttleworth, Applications of Satellite Data Assimilation for Improved Model Estimations in Semi-Arid Lands, AGU Fall Meeting, San Francisco, California, 10-14 December, 2001.

[CA13]  Gao, X., J. Li, R.A. Maddox, K. Hsu, and S. Sorooshian, A Comparative Study of Satellite Tropical Rainfall Estimation and Mesoscale Modeling for North American Monsoon Region, Mississippi River Hydrology and Climate Conference, New Orleans, Louisiana, 13-17 May, 2002.

[CA14]  Hong, Y., K. Hsu, X. Gao, and S. Sorooshian, Toward High-Quality Precipitation Estimation: Correlating Satellite Precipitation Features with MM5 Simulation of Cloud Microphysics: A Case Study of Flash Flood in Las Vegas, EOS Trans. AGU, 83(19), Spring Meeting Supplement, Abstract H22A-22, Washington D.C., Maryland, May 2002.

[CA15] Mahani, S., K. Hsu, X. Gao, and S. Sorooshian, Evaluation of Satellite Rainfall Estimation Data Using TRMM Ground Validation Data, International Tropical Rainfall Measurement Mission (TRMM) Science Conference, Honolulu, Hawaii, 22-26 July, 2002.

[CA16] Li, J., S. Sorooshian, R.A. Maddox, X. Gao, and K. Hsu, Investigation of Storm Structure and Evolution During the July 1999 Las Vegas Flash Flood, International Conference on Quantitative Precipitation Forecasting (QPF), University of Reading, United Kingdom, 2-6 September, 2002.

[CA17]  Gao, X., S. Sorooshian, and K. Hsu, Strategy of Error Analysis and Reduction in the PERSIANN System, Workshop in the Objective Analysis of Precipitation, Reading, United Kingdom, 11-13 February, 2003.

[CA18] Yong, Y., K. Hsu, and S. Sorooshian, Precipitation Estimation from Remotely Sensed Information using ANN-Cloud Classification System, AGU Fall Meeting, San Francisco, California, 8-12 December, 2003.

[CA19] Yilmaz, K.K., T.S. Hogue, K. Hsu, H.V. Gupta, S.E..Mahani, and S. Sorooshian, Evaluating Satellite-based Rainfall Estimates for Basin-scale Hydrologic Modeling, AGU Fall Meeting, San Francisco, California, 8-12 December, 2003.

[CA20] Park, G., S. Sorooshian, K. Hsu, I. Bisher, and X. Gao, Global Precipitation Monitoring from Meteorological Satellites, The Henry Samueli School of Engineering Symposium: “California: Prosperity Through Technology,” Beckman Center UCI, 17 May, 2004.

[CA21] Sorooshian, S., Y. Hong, K. Hsu, and X. Gao, Monitoring Precipitation Over Southwestern U.S. Region Using Satellite Observations, 8th International Conference on Precipitation: Quantifying Uncertainties in Precipitation Measurements, Estimates, and Forecasts, Vancouver, Canada, 8-11 August, 2004.

[CA22] Moradkhani, H., K. Hsu, and S. Sorooshian, Artificial Neural Network in Hydrologic Forecasting: Model Generation Using Cross Validation, 4th Conference on Artificial Intelligence Applications to Environmental Science, San Diego, CA, 11 January, 2005.

[CA23] Moradkhani, H., K. Hsu, and S. Sorooshian, Bayesian Recursive Data Assimilation and Uncertainty Assessment of Hydrologic Models, 5th International Scientific Conferences on the Global Energy and Water Cycle, Orange County, CA, 20-24 June, 2005.

[CA24] Hong, Y., K. Hsu, and S. Sorooshian, A High-Resolution Precipitation Analysis System with Potential Use for Hydrologic Model Data Assimilation, 5th International Scientific Conferences on the Global Energy and Water Cycle, Orange County, CA, 20-24 June, 2005.

[CA25] Ishak Boushaki, F., K. Hsu, and S. Sorooshian, Merging of Precipitation Data in the Catchment Scale for Hydrologic Applications, 5th International Scientific Conferences on the Global Energy and Water Cycle, Orange County, CA, 20-24 June, 2005.

[CA26]  Sorooshian, S., K. Hsu, Y. Hong, Satellite-based multi-year high-resolution precipitation analysis with potential use for hydrometeorological modeling, Eos Trans. AGU, 86(52), Fall Meet. Suppl, December, 2005.

[CA27]  Moradkhani, H, Y. Hong, K. Hsu, S Sorooshian, Investigating the Influence of Satellite-based Precipitation Uncertainty Estimate on Ensemble Streamflow Forecasting. Eos Trans. AGU, 86(52), Fall Meet. Suppl, December, 2005.

[CA28]  Chiang, Y., K. Hsu, Y. Hong, S. Sorooshian, and F. Chang, An Investigation of the Impact from Different Rainfall Sources on Flash Flood Prediction using Artificial Neural Networks, Eos Trans. AGU, 86(52), Fall Meet. Suppl, December, 2005.

[CA29]  Ishak Boushaki, F, K. Hsu, and S. Sorooshian, Improving the Streamflow Forecasting using Merged Precipitation Products, Eos Trans. AGU, 86(52), Fall Meet. Suppl, December 2005.

[CA30] Cheng, J., Y. Hong, X. Gao, K. Hsu, D. Gochis, and S. Sorooshian, Evaluation of Diurnal Rainfall Pattern Retrieved from PERSIANN-CCS Algorithm using NAME Gauge Observation, 2nd International Symposium on Quantitative Precipitation Forecasting and Hydrology, Boulder Colorado, 4-8 June, 2006.

[CA31]  Behrangi, A., K. Hsu, and S. Sorooshian, A Bi-spectral Algorithm for Daytime Precipitation Detection, Satellite Observations of the Global Water Cycle, Beckman Center of the National Academies, Irvine, CA, 7-9 March, 2007.

[CA32]  Boushaki, F., K. Hsu, and S. Sorooshian, An Approach to Integrate Satellite and Ground-based Precipitation Measurement, Satellite Observations of the Global Water Cycle, Beckman Center of the National Academies, Irvine, CA, 7-9 March, 2007.

[CA33]  Khakbaz, B., K. Hsu, and S. Sorooshian, Hydrologic Modeling for Flood Forecasting: A Distributed Modeling Experiment, Energy and Environmental Research Symposium, The Henry Samueli School of Engineering, UC Irvine, California, 15 May, 2007.

[CA34]  Behrangi, A., K. Hsu, and S. Sorooshian, Day-time Precipitation Estimation Using Artificial Neural Networks, Energy and Environmental Research Symposium, The Henry Samueli School of Engineering, UC Irvine, California, 15 May, 2007.

[CA35]  Bellerby, T. and K. Hsu, Satellite Precipitation Estimation using Empirical Cloud Development Models, Joint 2007 EUMETSAT Meteorological Satellite Conference and the 15th American Meteorological Society (AMS) Satellite Meteorology and Oceanography Conference, Amsterdam, Netherlands, 24-28 September, 2007.

[CA36]  Khakbaz, B., K. Hsu, and S. Sorooshian, A Semi-Distributed Hydrologic Model for Streamflow Simulation Using the Sacramento Soil Moisture Accounting Model (SAC-SMA), AGU Fall Meeting, San Francisco, California,  10-14 December, 2007.

[CA37]  Behrangi, A., K. Hsu, S. Sorooshian, and R. Kuligowski, Delineation of Arial Extent of Precipitation Using Multi-Spectral Remotely Sensed Data, AGU Fall Meeting, San Francisco, California,  10-14 December, 2007.

[CA38]  Behrangi, A.., K. Hsu, S. Sorooshian, and R. Kuligowski, Multi-Spectral Precipitation Estimation Using Artificial Neural Networks, 5th GOES Conference, 88th AMS Annual Meeting, New Orleans, Louisiana, 20-24 January, 2008.

[CA39]  Bae, H-K, B.H. Olson, K. Hsu, and S. Sorooshian, Application of Principle Component Regression using Physical and Chemical Parameters to Predict Indicator Bacteria Concentrations in Dry Season Flow, WEFTEC Conference, Chicago, Illinois, 18-22 October, 2008.

[CA40]  Bellerby, T., K. Hsu, and S. Sorooshian, LMODEL: A Lagrangian Cloud Development Model for Satellite Precipitation Estimation, European Geophysical Union Annual Meeting, Vienna, Austria, 13-18 April, 2008.

[CA41]  Imam, B., P. Kuranjekar, A. Behrangi, K. Hsu, and S. Sorooshian, The Value of Real-time High Resolution Precipitation in Capturing Extreme Rainfall Event, AGU 2008 Joint Assembly, Fort Lauderdale, 27-30 May, 2008.

[CA42]  Khakbaz, B., A. Behrangi, K. Hsu, B. Imam, and S. Sorooshian, Distributed Hydrologic Modeling in the Western US Using SNOW17 and SAC-SMA, AGU 2008 Joint Assembly, Fort Lauderdale, 27-30 May, 2008.

[CA43]  Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, G. Huffman, R.J. Kuligowski, 4th International Precipitation Working Group Workshop on Precipitation Measurements, Beijing, China, 13-17 October, 2008.

[CA44]  Imam, B., A. Lipponen, K. Hsu, S. Sorooshian, and D. Braithwaite, G-WADI Real Time Precipitation GeoServer: Towards global flood forecasting capacity building, International Conference on Water Scarcity, Global Changes Groundwater Management Responses, University of California, Irvine, USA, 1-5 December, 2008.

[CA45]  Bellerby, T., K. Hsu, and S. Sorooshian, LMODEL: A Multi-Sensor Satellite Precipitation Algorithm Using Cloud Development Modeling and Model Updating, In General Session on Precipitation: Measurement, Climatology, Remote Sensing, and Modeling, General Assembly of European Geosciences Union, Vienna, Austria,  19-24 April, 2009

[CA46]  Moradkhani, H., K. Hsu, and S. Sorooshian, Reducing Streamflow Forecasting Uncertainty: A Sequential Bayesian Approach Inspired by Data Assimilation for Multi-model Combination and Forecasting, General Assembly of European Geosciences Union, Vienna, Austria,  19-24 April, 2009

[CA47]  Sultana, R., K. Hsu, J. Li, and S. Sorooshian, Improve Snow Water Equivalent (SWE) in a Land Surface Model by Effective Assimilation of Remote Sensing Information, AGU Fall Meeting, 14-19 December, 2009, San Francisco, CA. 2009.

[CA48]  Li, J., K. Hsu, and S. Sorooshian, Improving Soil Moisture and Temperature Estimation of NOAH LSM through Assimilation of In-Situ and Remote Sensing Measurements, AGU Fall Meeting, 14-19 December, 2009, San Francisco, CA. 2009.

[CA49]  Jaw, T.C., K. Hsu, and S. Sorooshian, Long-term Precipitation Forecasting using Regional Climate Indices: An ANN Approach, AGU Fall Meeting, 14-19 December, 2009, San Francisco, CA. 2009.

[CA50]  Behrangi, A., B. Khakbaz, T.C. Jaw, B. Imam, K. Hsu, and S. Sorooshian, Evaluation of Satellite-based High Resolution Prediction Products for Catchment Hydrologic Forecasting, AGU Fall Meeting, 14-19 December, 2009, San Francisco, CA. 2009.

[CA51]  Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, Forward Morphing of Passive Microwave Derived Precipitation with Adjusted Intensity from GOES Information, 17-21 January, 2010, Atlanta, GA.  2010.

[CA52]  Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, Multi-spectral Cloud Classification for Precipitation Estimation,  American Meteorological Society Annual Meeting, 17-21 January, 2010, Atlanta, GA. 2010.

[CA53]  Sorooshian, S, X. Gao, K. Hsu, B. Imam, and J. Li, (Invited). Climate and Extreme Events: A Hydrologic Perspective, American Meteorological Society Annual Meeting, 17-21 January, 2010, Atlanta, GA. 2010.

[CA54]  Sorooshian, S., A. AghaKouchak, B. Imam, X. gao, and K. Hsu, Validation of Satellite Precipitation Data in Capturing Extreme Climate Events, West Pacific Geophysics Meeting, Taipei, Taiwan, 22-25 June, 2010.

[CA55]  Behrangi, A., S. Sorooshian, K. Hsu, T.J. Bellerby, G.J. Huffman, and B. Lambrigtsen, Precipitation for GPM: Development of a New Near Real-time High Resolution Multi-sensor Precipitation Estimation Product Based on Analyzing the Existing Precipitation Techniques, AGU Fall Meeting, 13-17 December, 2011, San Francisco, CA. 2010.

[CA56]  AghaKouchak, A., K. Hsu, A. Behrangi, and S. Sorooshian, Error Decomposition in Satellite-Derived Precipitation Estimates, AGU Fall Meeting, 13-17 December, 2010, San Francisco, CA. 2010.

[CA57]  Zahraei, A., J.J. Gourley, V. Lakshmanan, Y. Hong, K. Hsu, and S. Sorooshian, Pixel-based Very Short-term Precipitation Forecasting for Hydrological Application,  AGU Fall Meeting, 13-17 December, 2010, San Francisco, CA. 2010.

[CA58]  Sultana, R., K. Hsu, J. Li, and S. Sorooshian, Remodeling Snow Surface Temperature Update Process in Noah Land Surface Model, American Meteorological Society Annual Meeting, Seattle Washington, 23-27 January 2011.

[CA59]  Lo Conti, F., K. Hsu, S. Sorooshian, and L.V. Noto, Evaluation and Comparison of Satellite Precipitation Estimates with Reference to Local Area in Italy, EGU General Assembly Meeting, 3-8 April, 2011, Vienna, Austria, 2011.

[CA60]  Sultana, R., K. Hsu, J. Li, and S. Sorooshian, Enhancing Snow Water Equivalent estimation in Noah Model: A modified Approach, AGU Fall Meeting, 5-9 December, 2011, San Francisco, CA, 2011.

[CA61]  Zahraei, A., K. Hsu, S. Sorooshian, Advection-based Short-term Quantitative Precipitation Forecasting Algorithms Using Radar and Satellite Information, AGU Fall Meeting, 5-9 December, 2011, San Francisco, CA, 2011.

[CA62]  Huffman, G.J. and 8 co-authors (invited), The Day-1 Combined Precipitation Algorithm: IMERG, AGU Fall Meeting, 5-9 December, 2011, San Francisco, CA, 2011.

[CA63]  Nasrollahi, N., K. Hsu, S. Sorooshian, Application of CloudSat Cloud Classification Maps and MODIS Multi-spectral Satellite Imagery in Identifying False Rain from Satellite Images, AGU Fall Meeting, 5-9 December, 2011, San Francisco, CA, 2011.

[CA64]  Goodrich, D. and 15 co-authors (Invited), Pit Gauges to Satellites: Precipitation Retrievals over the USDA-ARS Walnut Gulch Experimental Watershed, Arizona, AGU Fall Meeting, 5-9 December, 2011, San Francisco, CA, 2011.

[CA65]  Li, J., K. Hsu, A. AghaKouchak, and S. Sorooshian, A Hybrid Framework for Verification of Satellite Precipitation Products, AGU Fall Meeting, 5-9 December, 2011, San Francisco, CA, 2011.

[CA66]  Noto, L.V., F. Lo Conti, K. Hsu, and S. Sorooshian, Analysis of Satellite Precipitation Products Referred to A Local Area in the Mediterranean Sea, AGU Fall Meeting, 5-9 December, 2011, San Francisco, CA, 2011.

[CA67]  Ashouri, H., K. Hsu, and S. Sorooshian, Reconstruction of Daily Precipitation for Climate Trend Detection and Extreme Precipitation Analysis, AMS Meeting, 22-26 January, 2012. New Orleans, LA. 2012.

[CA68] Huffman, G.J, D.T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidd, S. Sorooshian, P. Xie, S-H Yoo, Developing the Integrated Multi-Satellite Retrievals for GPM (IMERG), EGU General Assembly 2012, 22-27 April, 2012 in Vienna, Austria.

[CA69]  Anantharaj, V.G. M. Mahrooghy, W.A. Petersen, K. Hsu, N.H. Younan, Augmenting the PERSIANN-CCS with Lightning Information, EGU General Assembly 2012, 22-27 April, 2012 in Vienna, Austria.

[CA70]  Nguyen, P., S. Sorooshian, K. Hsu, A. AghaKouchak, and B. Sanders, Coupling a distributed hydrologic model (HL-RDHM) with adddddd Hydraulic Model (BreZo) for Flash Flood Modeling, International Union of Geodesy and Geophysics (IUGG) GRC Conference, 8-12 December, 2012. Chapman University, Orange, California, 2012.

[CA71]  Ashouri, H., K. Hsu, S. Sorooshian, PERSIANN Precipitation Climate Data Record (PERSIANN-CDR), Chapman University Symposium on Big Data and Analytics, 44th Interface Symposium on Computing Science and Statistics, Symposium on Computing Science and Statistics, 4-6 April, 2013, Chapman University, Orange, CA, 2013.

[CA72]  Nasrollahi, N., K. Hsu, and S. Sorooshian, A Self-organizing Feature Map Technique for Cloud Classification, AGU Fall Meeting, 9-13 December, 2013. San Francisco, 2013.

[CA73]  Nguyen, P., S. Sorooshian, K. Hsu, A. AghaKouchak, and B. Sander, Evaluating the Performance of a Coupled Distributed Hydrologic-Hydraulic Model for Flash Flood Modeling Using Multiple Precipitation Data Sources, AGU Fall Meeting, 9-13 December, 2013. San Francisco, CA. 2013.

[CA74]  Thorstensen, A., P. Nguyen, K. Hsu, S. Sorooshian, and W. Krajewski, Comparison of Multiple Precipitation Products over a Densely Gauged Basin through Distributed Hydrologic Modeling, AGU Fall Meeting, 9-13 December, 2013. San Francisco, CA. 2013.

[CA75]  Sarachi, S., K. Hsu, and S. Sorooshian, A Generalized Statistical Uncertainty Model for Satellite Precipitation Products, AGU Fall Meeting, 9-13 December, 2013. San Francisco, CA. 2013.

[CA76]  Kuo, C.-M., J.-W. Chen, T.-C. Yang, Y.-C. Lin, Y.-C. Wang, K. Hsu, S. Sorooshian, C.-S. Lee, and P.-S. Yu, Application of WRF Model Forecasts and PERSIANN Satellite Rainfalls for Real-time Flood Forecasting, AGU Fall Meeting, 9-13 December, 2013. San Francisco, CA. 2013.

[CA77]  Huffman, G.J., D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidds, S. Sorooshian, and P. Xie, (Invited). Day 1 and Beyond for Multi-satellite Retrevals in GPM, AGU Fall Meeting, 9-13 December, 2013. San Francisco, CA. 2013.

[CA78]  Moghim, S., K. Hsu, and R. Bras, Bias Correction of Temperature Produced by the Community Climate System Model using Artificial Neural Networks, AGU Fall Meeting, 9-13 December, 2013. San Francisco, CA. 2013.

[CA79]  Ashouri H., K. Hsu, S. Sorooshian, D. Braithwaite, K. Knapp, and L. D. Cecil, 2013. 33 Years of Near-Global Daily Precipitation from Multisatellite Observations and its Application to Drought Monitoring, AGUFall Meeting, December 9-13, 2013, San Francisco, CA.

[CA80]  Ashouri, H., K. Hsu, S. Sorooshian, J. Lee, M.G. Bosilovich, J.-Y. Yu, Trend Analysis of Daily Extreme Precipitation Events in the Changing Climate, 94th American Meteorological Society Annual Meeting, 2-6 February, 2014. Atlanta, Georgia, 2014.

[CA81]  Huffman, G., D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidds, S. Sorooshian, and P. Xie, The Integrated Multi-Satellite Retrievals for GPM (IMERG) at Launch, Asia Oceania Geosciences Society (AOGS) 11th Annual Meeting, 28 July—1st August, 2014. Sapporo, Japan.        

[CA82] Chen, J.-W., Kuo, C.-M., T.-C. Yang, Y.-C. Lin, P.-S. Yu, K. Hsu, S. Sorooshian, and C.-S. Lee, Integration of Remotely Sensed Precipitation and numerical Weather Prediction Model for Short-term Precipitation Forecasting, Asia Oceania Geosciences Society (AOGS) 11th Annual Meeting, 28 July—1st August, 2014. Sapporo, Japan.

[CA83]  Huffman, G.J., D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidd, S. Sorooshian, and P. Xie (Invited), Day 1 for the Integrated Multi-Satellite Retrievals for GPM (IMERG) Data Sets, AGU Fall Meeting, 15-19 December, 2014. San Francisco, CA.

[CA84]  Miao, C., Ashouri, H., 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, AGU Fall Meeting, 15-19 December, 2014. San Francisco, CA.

[CA85]  Nguyen, P., P. Huynh, D. Braithwaite, K. Hsu, and S. Sorooshian, Monitoring Global Precipitation through UCI CHRS’s RainMapper App on Mobile Device,  AGU Fall Meeting, 15-19 December, 2014. San Francisco, CA.

[CA86]  Sellers, S., X. Gao, K. Hsu, S. Sorooshian, and S. McCabe-Glynn, Untangling the Impacts of Climate Variability on Atmospheric Rivers and Western U.S. Precipitation Using PERSIANN-CONNECT, AGU Fall Meeting, 15-19 December, 2014. San Francisco. CA.

[CA87]  Karbalaee, N., K. Hsu, and S. Sorooshian, Improving PERSIANN-CCS Rainfall using Passive Microwave Rainfall Estimation, AGU Fall Meeting, 15-19 December, 2014. San Francisco. CA.

[CA88]  Thorstensen, A., P. Nguyen, K. Hsu, and S. Sorooshian, Calibration of a Hydrologic Model via Densely Distributed Soil Moisture Observations, AGU Fall Meeting, 15-19 December, 2014. San Francisco. CA.

[CA89]  Nguyen, P., A. Thorstensen, K. Hsu, A. AghaKouchak, B. Sanders, S. Sorooshian, Simulation of the 2008 Iowa Fllod using HiResFlood UCI Model with Remote Sensing Data, AGU Fall Meeting, 15-19 December, 2014. San Francisco. CA.

[CA90]  Ashouri, H., P. Nguyen, A. Thorstensen, K. Hsu, and S. Sorooshian, Long-Term Historical Rainfall-Runoff Modeling using High-Resolution Satellite-based Precipitation Products, AGU Fall Meeting, 15-19 December, 2014. San Francisco. CA.

[CA91]  Sarachi, S., K. Hsu, S. Hydrologic Evaluation of A Generalized Statistical Uncertainty Model for Satellite Precipitation Products, AGU Fall Meeting, 15-19 December, 2014. San Francisco. CA.

[CA92]  Ashouri, H., K. Hsu, S. Sorooshian, and D. Braithwaite, PERSIANN-CDR Daily Precipitation and Trend Analysis of Global Precipitation Extremes, The 95th AMS Annual Meeting, 4-8 January, 2015. Phoenix, Arizona.

[CA93]  Thorstensen, A., P. Nguyen, K. Hsu, R. Zamora, and S. Sorooshian, Data Assimilation of Soil Moisture in a Distributed Hydrologic Model: A Case Study Over the Russian River Basin, The 95th AMS Annual Meeting, 4-8 January, 2015. Phoenix, Arizona.

[CA94]  Huffman, G.J., D.T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidds, E. Nelkin, S. Sorooshian, J. Wang, and P. Xie. First Results from the Integrated Satellite Retrievals for GPM (IMERG), EGU General Assembly, 12-17 April, 2015. Vienna, Austria.

[CA95]  Huffman, G.J., D.T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidds, E. Nelkin, S. Sorooshian, and P. Xie., Status and Results from the Day-1 Integrated Satellite Retrievals for GPM (IMERG), The 12th Annual Meeting Asia Oceania Geosciences Society, 2-7 August, 2015. SUNTEC, Singapore.

[CA96]  Huffman, G.J., D.T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidds, E. Nelkin, S. Sorooshian, J. Wang, P. Xie., G. Skofronick-Jackson, and W. Petersen. Status and Results from the Day-1 Integrated Satellite Retrievals for GPM (IMERG), The Annual EUMESAT Satellite Conference, 21-25 September, 2015. Toulouse, France

[CA97]  Huffman, G.J., D.T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidds, S. Sorooshian, and P. Xie., Introduction to The Integrated Multi-Satellite Retrievals for GPM (IMERG) Precipitation Datasets, The Annual Geological Society of America Meeting, 1-4 November, 2015. Baltimore, Maryland.

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