The support of Grant NSC101-2119-M-464-001 by the National Science Council, Taiwan, is greatly appreciated. The authors would like to acknowledge data provided by the Central Weather Bureau (CWB), the Water Resources Agency (WRA), and the National Oceanic and Atmospheric Administration (NOAA). The writer is also grateful for the constructive comments of the referees.
Accadia, C., , Mariani S. , , Casaioli M. , , Lavagnini A. , , and Speranza A. , 2003: Sensitivity of precipitation forecast skill scores to bilinear interpolation and a simple nearest-neighbor average method on high-resolution verification grids. Wea. Forecasting, 18, 918–932.
Ahn, J. H., , and Ezawa K. J. , 1997: Decision support for real-time telemarketing operations through Bayesian network learning. Decis. Support Syst., 21, 17–27.
Atlas, R., , Hou A. Y. , , and Reale O. , 2005: Application of SeaWinds scatterometer and TMI-SSM/I rain rates to hurricane analysis and forecasting. J. Photogramm. Remote Sens., 59, 233–243.
Biancamaria, S., , Mognard N. M. , , Boone A. , , Grippa M. , , and Josberger E. G. , 2008: A satellite snow depth multi-year average derived from SSM/I for the high latitude regions. Remote Sens. Environ., 112, 2557–2568.
Bouckaert, R. R., , Frank E. , , Hall M. , , Kirkby R. , , Reutemann P. , , Seewald A. , , and Scuse D. , 2010: WEKA Manual. University of Waikato Press, 325 pp.
Chang, C. P., , Yeh T. C. , , and Chen J. M. , 1993: Effects of terrain on the surface structure of typhoons over Taiwan. Mon. Wea. Rev., 121, 734–752.
Chau, K. W., , Wu C. L. , , and Li Y. S. , 2005: Comparison of several flood forecasting models in Yangtze River. J. Hydrol. Eng., 10, 485–491.
Cheng, C. T., , Wang W. C. , , Xu D. M. , , and Chau K. W. , 2008: Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos. Water Resour. Manage., 22, 895–909.
Chiu, L. S., , North G. R. , , Short D. A. , , and McConnell A. , 1990: Rain estimation from satellites: Effect of finite field of view. J. Geophys. Res., 95 (D3), 2177–2185.
Chow, V. T., , Maidment D. R. , , and Mays L. W. , 1988: Applied Hydrology. McGraw-Hill, 572 pp.
Cooper, G., , and Herskovits E. , 1992: A Bayesian method for the induction of probabilistic networks from data. Mach. Learn., 9, 309–347.
de Santana, A. L., , Frances C. R. , , Rocha C. A. , , Carvalho S. V. , , Vijaykumar N. L. , , Rego L. P. , , and Costa J. C. , 2007: Strategies for improving the modeling and interpretability of Bayesian networks. Data Knowl. Eng., 63, 91–107.
Dietrich, S., , Bechini R. , , Adamo C. , , Mugnai A. , , and Prodi F. , 2000: Radar calibration of physical profile-based precipitation retrieval from passive microwave sensors. Phys. Chem. Earth, 25B, 877–882.
Duda, R., , and Hart P. , 1973: Pattern Classification and Scene Analysis. John Wiley and Sons, 482 pp.
Ebert, E. E., , Damrath U. , , Wergen W. , , and Baldwin M. E. , 2003: The WGNE assessment of short-term quantitative precipitation forecasts (QPFs) from operational numerical weather prediction models. Bull. Amer. Meteor. Soc., 84, 481–492.
Ferraro, R. R., , Grody N. C. , , and Marks G. F. , 1994: Effects of surface conditions on rain identification using the SSM/I. Remote Sens. Rev., 11, 195–209.
Ferraro, R. R., , Weng F. , , Grody N. C. , , and Basist A. , 1996: An eight-year (1987–1994) time series of rainfall, clouds, water vapor, snow cover, and sea ice derived from SSM/I measurements. Bull. Amer. Meteor. Soc., 77, 891–905.
Gan, T. Y., , Kalinga O. , , and Singh P. , 2009: Comparison of snow water equivalent retrieved from SSM/I passive microwave data using artificial neural network, projection pursuit and nonlinear regressions. Remote Sens. Environ., 113, 919–927.
Grecu, M., , Anagnostou E. N. , , and Adler R. F. , 2000: Assessment of the use of lightning information in satellite infrared rainfall estimated. J. Hydrometeor., 1, 211–221.
Grody, N. C., 1991: Classification of snow cover and precipitation using the Special Sensor Microwave Imager. J. Geophys. Res., 96 (D4), 7423–7435.
Guo, S., , Xu G. , , Zhang H. , , and Li C. , 2007: A real-time flood updating model based on the Bayesian method. Methodol. Hydrol., 311, 210–215.
Hosmer, D. W., , and Lemeshow S. , 2000: Applied Logistic Regression. John Wiley and Sons, 373 pp.
Hsu, N. S., , and Wei C.-C. , 2007: A multipurpose reservoir real-time operation model for flood control during typhoon invasion. J. Hydrol., 336, 282–293.
Jiang, L., , Cai Z. , , Wang D. , , and Zhang H. , 2012: Improving tree augmented naïve Bayes for class probability estimation. Knowl.-Based Syst., 26, 239–245.
Klepp, C., , and Bakan S. , 2000: Satellite derived energy and water cycle components in North Atlantic cyclones. Phys. Chem. Earth, 25, 65–68.
Kurt, I., , Ture M. , , and Kurum A. T. , 2008: Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease. Expert Syst. Appl., 34, 366–374.
Langley, P., , Iba W. , , and Thompson K. , 1992: An analysis of Bayesian classifiers. Proc. 10th National Conf. on Artificial Intelligence, San Jose, CA, Association for the Advancement of Artificial Intelligence, 223–228.
Lee, C. S., , Huang L. R. , , Shen H. S. , , and Wang S. T. , 2006: A climatology model for forecasting typhoon rainfall in Taiwan. Nat. Hazards, 37, 87–105.
Liang, W., , Zhuang D. , , Jiang D. , , Pan J. , , and Ren H. , 2012: Assessment of debris flow hazards using a Bayesian network. Geomorphology, 171–172, 94–100.
Lin, J. Y., , Cheng C. T. , , and Chau K. W. , 2006: Using support vector machines for long-term discharge prediction. Hydrol. Sci. J., 51, 599–612.
Liu, G., , and Curry J. A. , 1997: Precipitation characteristics in Greenland–Iceland–Norwegian Seas determined by using satellite microwave data. J. Geophys. Res., 102 (D12), 13 987–13 997.
Lonfat, M., , Rogers R. , , Marchok T. , , and Marks F. D. Jr., 2007: A parametric model for predicting hurricane rainfall. Mon. Wea. Rev., 135, 3086–3097.
Mishra, A., , Gairola R. M. , , Varma A. K. , , Sarkar A. , , and Agarwal V. K. , 2009: Rainfall retrieval over Indian land and oceanic regions from SSM/I microwave data. Adv. Space Res., 44, 815–823.
Mitchell, T. M., 2005: Machine Learning. McGraw-Hill, 414 pp.
Muttil, N., , and Chau K. W. , 2006: Neural network and genetic programming for modelling coastal algal blooms. Int. J. Environ. Pollut., 28, 223–238.
Nativi, S., , Barrett E. C. , , and Beaumont M. J. , 1997: Monitoring of rainfall integrating active and passive microwave sensors: Possibilities and problems. Phys. Chem. Earth, 22, 229–233.
Nesbitt, S. W., , Cifelli R. , , and Rutledge S. A. , 2006: Storm morphology and rainfall characteristics of TRMM precipitation features. Mon. Wea. Rev., 134, 2702–2721.
Pearl, J., 1988: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, 552 pp.
Pernkopf, F., , and O'Leary P. , 2003: Floating search algorithm for structure learning of Bayesian network classifiers. Pattern Recognit. Lett., 24, 2839–2848.
Raytheon Systems Company, 2000: Special Sensor Microwave/Imager (SSM/I) user's interpretation guide (UIG). NOAA Grant UG32268-900, 96 pp.
Spencer, R. W., , Goodman H. M. , , and Hood R. E. , 1989: Precipitation retrieval over land and ocean with the SSM/I: Identification and characteristics of the scattering signal. J. Atmos. Oceanic Technol., 6, 254–273.
Stajduhar, I., , Dalbelo-Basic B. , , and Bogunovic N. , 2009: Impact of censoring on learning Bayesian networks in survival modelling. Artif. Intell. Med., 47, 199–217.
Tsai, C. C., , Lu M. C. , , and Wei C. C. , 2012: Decision tree-based classifier combined with neural-based predictor for water-stage forecasts in a river basin during typhoons: A case study in Taiwan. Environ. Eng. Sci., 29, 108–116.
Tuleya, R. E., , DeMaria M. , , and Kuligowski R. J. , 2007: Evaluation of GFDL and simple statistical model rainfall forecasts for U.S. landfalling tropical storms. Wea. Forecasting, 22, 56–70.
Verron, S., , Li J. , , and Tiplica T. , 2010: Fault detection and isolation of faults in a multivariate process with Bayesian network. J. Process Control, 20, 902–911.
Wang, W. C., , Cheng C. T. , , Chau K. W. , , and Xu D. M. , 2012: Calibration of Xinanjiang model parameters using hybrid genetic algorithm based fuzzy optimal model. J. Hydroinf., 14, 784–799.
Wei, C.-C., 2012a: RBF neural networks combined with principal component analysis applied to quantitative precipitation forecast for a reservoir watershed during typhoon periods. J. Hydrometeor., 13, 722–734.
Wei, C.-C., 2012b: Wavelet support vector machines for forecasting precipitation in tropical cyclones: Comparisons with GSVM, regressions, and numerical MM5 model. Wea. Forecasting, 27, 438–450.
Wei, C.-C., , and Hsu N. S. , 2008: Derived operating rules for a reservoir operation system: Comparison of decision trees, neural decision trees and fuzzy decision trees. Water Resour. Res., 44, W02428, doi:10.1029/2006WR005792.
Wei, C.-C., , and Hsu N. S. , 2009: Optimal tree-based release rules for real-time flood control operations on a multipurpose multireservoir system. J. Hydrol., 365, 213–224.
Wei, C.-C., , and Roan J. , 2012: Retrievals for the rainfall rate over land using Special Sensor Microwave/Imager data during tropical cyclones: Comparisons of scattering index, regression, and support vector regression. J. Hydrometeor., 13, 1567–1578.
Wong, M. L., , Lee S. Y. , , and Leung K. S. , 2004: Data mining of Bayesian networks using cooperative coevolution. Decis. Support Syst., 38, 451–472.
Wu, C. L., , Chau K. W. , , and Li Y. S. , 2009: Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques. Water Resour. Res., 45, W08432, doi:10.1029/2007WR006737.
Yeh, T. C., 2002: Typhoon rainfall over Taiwan area: The empirical orthogonal function modes and their applications on the rainfall forecasting. Terr. Atmos. Oceanic Sci., 13, 449–468.