Kuo-lin HsuAssociate Adjunct Professor, Civil & Environmental Engineering |
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Research Interests |
Remote sensing of precipitation, hydrologic systems modeling, stochastic hydrology, and water resources systems planning | |
| URL | CEE Dept faculty profile, link to CV & Publications | |
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Research Abstract |
Dr. Hsu is active in the area of remote sensing of precipitation and hydrologic system modeling. He is interested in the applcaition of artificial intelligent and remote sensing techniques in the decision making of hydrologic process. Dr. Hsu’s research has been in the estimation of precipitation from satellite and in situ (radar and gauge) measurements. He is also working on the projects related to the watershed modeling using remote sensing information and uncertainty analysis of hydroligc systems. He is an active member in the Center for Hydrology & Remote Sensing (CHRS), HSSOE Department of Civil & Environmental Engineering. |
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| 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. 2009. Satellite Rainfall Applications for Surface Hydrology, Edited by Fasial Hossian and Mekonnen Gebremichael, Springer Publishing Company, 2009. (In Press) Journal Articles (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 Tian, Y., C. Peters-Lidard, J.B. Eylander, R.J. Joyce, G.J. Huffman, R.F. Adler, K. Hsu, F. Joseph Turk, M. Garcia, and J. Zeng, 2010. Component Analysis of Errors in Satellite-based Precipitation Estimates, JGR—Atmosphere. 2010 (In Press). Hsu, K., 2010. Hydrological Forecasting using ANN: A Sequential Bayesian Approach, Journal of Hydroinformatics (In Press). Behrangi, A., K. Hsu, B. Imam, and S. Sorooshian, 2010. Daytime Precipitation Estimation Using Bi-Spectral Cloud Classification System, Journal of Applied Meteorology and Climatology. (In Press) Conference Proceedings: (2004-) 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. 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. 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. 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. 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. 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. 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. Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, G.J. Huffman, and R.J. Kuligowski, Utilizing 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. Conferences & Presentations: (2005-) Hsu, K., (Invited). Global Precipitation Estimation Using Satellite Data, International Summer School on Atmospheric and Oceanic Science (ISSAOS), L’Aquila, Italy, 28 August-2 September, 2005. Hsu, K., (Invited). Merging Precipitation Data for Hydrologic Modeling, International Summer School on Atmospheric and Oceanic Science (ISSAOS), L’Aquila, Italy, 28 August-2 September, 2005. Hsu, K., (Invited). Streamflow Forecasting using Artificial Neural Networks, International Summer School on Atmospheric and Oceanic Science (ISSAOS), L’Aquila, Italy, 28 August-2 September, 2005. 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. 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. Hsu, K., (Invited) Hydrologic Modeling using Multiple Satellite Precipitation Estimates, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, April 29, 2005. Hsu, K., (Invited) Development of Multiple Satellite Precipitation Measurement for Hydrologic Applications, City Colleague New York, New York, 9 September, 2005. Hsu, K., Uncertainty Assessment of Hydrologic Model Parameters using Bayesian Filter, International Conference of Systems Analysis and Applications, Taipei, Taiwan, 11 July, 2005. 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. 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. Hsu, K., F. Boushaki, and S. Sorooshian, Effective Merging of Precipitation Data for Hydrological Forecasting, AGU Spring Meeting, Baltimore, Maryland, 23-26 May, 2006. 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. 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. 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. Hsu, K., Merging Satellite-Based and Gauge Rainfall Data for Hydrologic Forecasting. Reservoir Workshop, Beijing, China, 28 July, 2006. Hsu, K. (Invited), Calibration and Uncertainty Analysis of Hydrologic Models, Department of Resources Engineering, National Cheng-Kung University, Tainan, Taiwan, 10 August, 2006. 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. 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. 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. 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. Hsu, K. and S. Sorooshian, PERSIANN Global Precipitation Analysis, the 3rd IGWCO Meeting, National Academy of Science, Washington D.C., 14-17 May, 2007. 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. 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. 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. 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. Hsu, K. and S. Sorooshian, A Sequential Monte Carlo Approach for Streamflow Forecasting, AGU Fall Meeting, 15-19 December, 2008. San Francisco, California. 2008. 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. 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. Hsu, K., T. Bellerby, and S. Sorooshian, Real-time Precipitation Estimation using LEO and GEO Satellite Information, GOES-R AWG & Risk Reduction Review Meeting, 20-24 July, 2009. University of Maryland, Maryland. 2009. 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. Sorooshian, S, X. Gao, K. Hsu, B. Imam, and J. Li, (Invited). Climate and Extreme Events: A Hydrologic Perspective, 17-21 January, 2010, Atlanta, GA. Co-Author Presentations: (2005-) 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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 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 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. 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. 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. 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. 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. Behrangi, A., K. Hsu, B. Imam, S. Sorooshian, Multi-spectral Cloud Classification for Precipitation Estimation, 17-21 January, 2010, Atlanta, GA. |
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Professional Societies |
American Geophysical Union (AGU) American Meteorology Society (AMS) |
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| Research Center | Center for Hydrometeorology & Remote Sensing (CHRS) http://www.chrs.web.uci.edu/ | |
| Link to this profile | http://www.faculty.uci.edu/profile.cfm?faculty_id=5092 | |
| Last updated | 02/01/2010 | |