Spatiotemporal prediction of shallow water table depths in continental China

Water Resources Research

Volumn 44, Issue 4, 2008, Pages

  Yuan, Xing ^a,b   Xie, Zhenghui ^a   Liang, Miaoling ^a,c  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c NATIONAL SATELLITE METEOROLOGICAL CENTER   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; ECOSYSTEMS; KALMAN FILTERS; MATHEMATICAL MODELS; TRANSFER FUNCTIONS;

CLIMATE RESEARCH; TRANSFER FUNCTION-NOISE (TFN); WATER TABLE;

WATER MANAGEMENT;

CLIMATOLOGY; ECOSYSTEMS; KALMAN FILTERS; MATHEMATICAL MODELS; TRANSFER FUNCTIONS; WATER MANAGEMENT;

CALIBRATION; CLIMATE FORCING; GAUSSIAN METHOD; KALMAN FILTER; NOISE; PREDICTION; REGIONALIZATION; SPATIOTEMPORAL ANALYSIS; TERRESTRIAL ECOSYSTEM; TRANSFER FUNCTION; WATER DEPTH; WATER TABLE;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 44349113494     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006WR005453     Document Type: Article

References (33)

1. Bierkens, M. F. P., M. Knotters, and F. C. Van Geer (1999), Calibration of transfer function-noise models to sparsely or irregularly observed time series, Water Resour. Res., 35(6), 1741-1750.
2. Bilmes, J. (1998), A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden markov models, TR-97-021, International Computer Science Institute, Berkeley, California.
3. Box, G. E. P., and G. M. Jenkins (1976), Times Series Analysis: Forecasting and Control, Holden Day, Merrifield.
4. Changnon, S. A., F. A. Huff, and C. F. Hsu (1988), Relations between precipitation and shallow groundwater in Illinois, J. Clim., 12(6), 1239-1250.
5. Crosbie, R. S., P. Binning, and J. D Kalma (2005), A time series approach to inferring groundwater recharge using the water table fluctuation method, Water Resour. Res., 41, W01008, doi:10.1029/2004WR003077.
6. Dasgupta, A., and A. E. Raftery (1998), Detecting features in spatial point processes with clutter via model-based clustering, J. Am. Stat. Assoc., 93, 294-302.
7. Dempster, A. P., N. M. Laird, and D. B. Rubin (1977), Maximum likelihood from incomplete data via the EM algorithm, J. R. Stat. Soc., B39, 1-38.
8. Duan, Q., S. Sorooshian, and V. K. Gupta (1992), Effective and efficient global optimization for conceptual rainfall-runoff Models, Water Resour. Res., 28(4), 1015-1031.
9. Duan, Q., S. Sorooshian, and V. K. Gupta (1994), Optimal use of SCE-UA global optimization method for calibrating watershed models, J. Hydrol., 158, 265-284.
10. Food and Agriculture Organization (FAO) (1998), Digital Soil Map of the World and Derived Soil Properties [CD-ROM], Land Water Digital Media Ser., vol. 1, Rome.
11. Fraley, C., and A. E. Raftery (1998), How many clusters? Which clustering methods? Answers via model-based cluster analysis, Comput. J., 41, 578-588.
12. Huang, M., X. Liang, and Y. Liang (2003), A transferability study of model parameters for the variable infiltration capacity land surface scheme, J. Geophys. Res., 108(D22), 8864, doi:10.1029/2003JD003676.
13. Jarvis, P. G., and K. G. McNaughton (1986), Stomatal control of transpiration: Scaling up from leaf to region, Adv. Ecol. Res., 15, 1-50.
14. Kalman, R. E. (1960), A new approach to linear filtering and prediction problems, J. Basic Eng., 82(Series D), 35-45.
15. Knotters, M., and M. F. P. Bierkens (2000), Physical basis of time series models for water table depths, Water Resour. Res., 36(1), 181-188.
16. Knotters, M., and M. F. P. Bierkens (2001), Predicting water table depths in space and time using a regionalised time series model, Geoderma, 103, 51-77.
17. Knotters, M., and M. F. P. Bierkens (2002), Accuracy of spatio-temporal RARX model predictions of water table depths, Stochastic Environ. Res. Risk Assess., 16, 112-126.
18. Liang, X., and Z. H. Xie (2003), Important factors in land-atmosphere interactions: Surface runoff generations and interactions between surface and groundwater, Global Planet. Change, 38, 101-114.
19. Liang, X., Z. H. Xie, and M. Y. Huang (2003), A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model, J. Geophys. Res., 108(D16), 8613, doi:10.1029/2002JD003090.
20. McIntyre, N., H. Lee, H. Wheater, et al. (2005), Ensemble predictions of runoff in ungauged catchments, Water Resour. Res., 41, W12434, doi:10.1029/2005WR004289.
21. Nijssen, B., G. M. O'Donnell, and D. P. Lettenmaier (2001), Predicting the discharge of global rivers, J. Clim., 14, 3307-3323.
22. Parlange, M. B., G. G. Katul, and R. H. Cuenca (1992), Physical basis for time series model of soil water content, Water Resour. Res., 28(9), 2437-2446.
23. Press, W. H., S. A. Teukolsky, and W. T. Vetterling (1996), Numerical Recipes in Fortran 90: The Art of Parallel Scientific Computing, 2nd ed., pp. 1208-1210, Cambridge Univ. Press, New York.
24. Salvucci, G., and D. Entekhabi (1995), Ponded infiltration into soils bounded by a water table, Water Resour. Res., 31(11), 2751-2759.
25. Schwarz, G. (1978), Estimating the dimension of a model, Ann. Stat., 6, 461-464.
26. Tankersley, C. D., W. D. Graham, and K. Hatfield (1993), Comparison of univariate and transfer function models of groundwater fluctuations, Water Resour. Res., 29(10), 3517-3533.
27. Tian, X. J., Z. H. Xie, S. L. Zhang, and M. L. Liang (2006), A subsurface runoff parameterization with water storage and recharge based on the Boussinesq-storage equation for a land surface model, Sci. China, 49(D), 622-631.
28. Van Geer, F. C., and A. F. Zuur (1997), An extension of Box-Jenkins transfer/noise models for spatial interpolation of groundwater head series, J. Hydrol., 192(5), 65-80.
29. Wagener, T., and H. S. Wheater (2006), Parameter estimation and regionalization for continuous rainfall-runoff models including uncertainty, J. Hydrol., 320, 132-154.
30. Xie, Z. H., F. Yuan, Q. Y. Duan, et al. (2007), Regional parameter estimation of the VIC land surface model: Methodology and application to river basins in China, J. Hydrometeorol., 8, 447-468.
31. Xu, L., and M. I. Jordan (1996), On convergence properties of the EM algorithm for Gaussian mixtures, Neural Comput., 8, 129-151.
32. Yang, H. W., and Z. H. Xie (2003), A new method to dynamically simulate groundwater table in land surface model VIC, Prog. Nat. Sci., 13(11), 819-825.
33. Yi, M. J., and K. K. Lee (2004), Transfer function-noise modelling of irregularly observed groundwater heads using precipitation data, J. Hydrol., 288(3), 272-287.