Anderson E A. 1976. A point energy and mass balance model of a snow cover [R]. NOAA Technical Report NWS, 19, Office of Hydrology, National Weather Service, Silver Spring, MD. 150.
[2]
Bonan G B. 1996. A Land Surface Model (LSM Version 1. 0) for ecological, hydrological, and atmospheric studies: Technical description and user’s guide [R]. NCAR Tech. Note NCAR/TN-417+STR., National Center for Atmospheric Research. 150.
[3]
Campolongo F, Saltelli A. 1997. Sensitivity analysis of an environmental model: An application of different analysis methods [J]. Reliability Engineering & System Safety, 57 (1): 49-69.
[4]
Campolongo F, Cariboni J, Saltelli A. 2007. An effective screening design for sensitivity analysis of large models [J]. Environmental Modelling & Software, 22 (10): 1509-1518.
[5]
Clapp R B, Hornberger G M. 1978. Empirical equations for some soil hydraulic properties [J]. Water Resour. Res., 14: 601-604.
[6]
Cosby B J, Hornberger G M, Clapp R B, et al. 1984. A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils [J]. Water Resour. Res., 20: 682-690.
[7]
Dai Y J, Zeng Q C. 1997. A Land Surface Model (IAP94) for climate studies. Part I: Formulation and validation in off-line experiments [J]. Advances in Atmospheric Sciences, 14 (4): 433-460.
[8]
Dai Y J, Zeng X B, Dickinson R E, et al. 2003. The common land model [J]. Bull. Amer. Meteor. Soc., 84 (8): 1013-1023.
[9]
Morris M D. 1991. Factorial sampling plans for preliminary computational experiments [J]. Technometrics, 33 (2): 161-174.
[10]
Sobol\' I M. 1993. Sensitivity estimates for nonlinear mathematical models [J]. Mathematical Modelling & Computational Experiment, 1: 407-414.
[11]
Sobol\' I M. 2001. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates [J]. Mathematics and Computers in Simulation, 55 (1-3): 271-280.
[12]
Tong C. 2005. Psuade user’s manual. Lawrence Livermore National Laboratory (LLNL), Livermore, CA, 109.
[13]
Tong C, Graziani F. 2008. A Practical Global Sensitivity Analysis Methodology for Multi-Physics Applications: Lecture Notes in Computational Science and Engineering [R]. Graziani Frank. Springer Berlin Heidelberg, 62: 277-299.
[14]
Yamwong W, Achalakul T. 2011. Yield improvement analysis with parameter-screening factorials [J]. Applied Soft Computing, 12 (3): 1021-1040.
[15]
De Pauw D J W, Steppe K, De Baets B. 2008. Unravelling the output uncertainty of a tree water flow and storage model using several global sensitivity analysis methods [J]. Biosystems Engineering, 101 (1): 87-99.
[16]
Dickinson R E, Henderson-Sellers A, Kennedy P J. 1993. Biosphere- atmosphere transfer scheme (BATS) version le as coupled to the NCAR community climate model [R]. NCAR Tech. Note NCAR/TN-387+STR., National Center for Atmospheric Research.
[17]
Duan Q Y, Gupta V K, Sorooshian S. 1993. Shuffled complex evolution approach for effective and efficient global minimization [J]. Journal of Optimization Theory and Applications, 76 (3): 501-521.
[18]
Duan Q Y, Sorooshian S, Gupta H V, et al. 2003. Calibration of Watershed Models [M]. Washington, DC: American Geophysical Union, 345pp.
[19]
Duan Q Y, Schaake J, Andréassian V, et al. 2006. Model parameter estimation experiment (MOPEX): An overview of science strategy and major results from the second and third workshops [J]. J. Hydrol., 320 (1-2): 3-17.
[20]
Farouki O T. 1986. Thermal properties of soils. Vol. 11 [R]. Series on Rock and Soil Mechanics, Trans Tech, 136pp.
[21]
Goldberg D E. 1989. Genetic Algorithms in Search, Optimization, and Machine Learning [M]. Boston: Addison-Wesley, 432pp.
[22]
Jordan R. 1991. A one-dimensional temperature model for a snow cover [R]. U. S. Army Corps of Engineering, Cold Regions Research and Engineering Laboratory Special Report, 91 (16): 49.
