References
- ASCE Task Committee on Definition of Criteria for Evaluation of Watershed Models of the Watershed Management Committee, Irrigation and Drainage Division, 1993, Criteria for evaluation of watershed models, J. Irrig. Drain. E.-ASCE, 119, 429-442. https://doi.org/10.1061/(ASCE)0733-9437(1993)119:3(429)
- Bacchi, B., Kottegoda, N. T., 1995, Identification and calibration of spatial correlation patterns of rainfall, J. Hydrol., 165, 311-348. https://doi.org/10.1016/0022-1694(94)02590-8
- Beek, E. G., Stein, A., Janssen, L. L. F., 1992, Spatial variability and interpolation of daily precipitation amount, Stoch. Hydrol. Hydraul., 6, 304-320. https://doi.org/10.1007/BF01581623
- Choi, Y. J., Kim, Y. S., Lee, G. H., Kim, J. C., 2010, The verification of application of distributed runoff model according to estimation methods for the missing rainfall data, J. Environ. Sci., 19, 1375-1384. https://doi.org/10.5322/JES.2010.19.12.1375
- Jeffrey, S. J., Carter, J. O., Moodie, K. B., Beswick, A. R., 2001, Using Spatial interpolation to construct a comprehensive archive of Australian climate data, Environ. Modell. softw., 16, 309-330. https://doi.org/10.1016/S1364-8152(01)00008-1
- Michaud, J. D., Sorooshian, S., 1994, Effect of rainfallsampling errors on simulations of desert flash floods, Water Resour. Res., 30, 2765-2775. https://doi.org/10.1029/94WR01273
- Ribeiro, P. J., Diggle, P. J., 2001, geoR: a package for geostatistical analysis, R-NEWS 1, 15-18.
- Schabenberger, O., Gotway, C. A., 2005, Statistical methods for spatial data analysis, Chapman & Hall, Boca Raton, FL.
- Sung, C. Y., 2012, Estimating missing rainfall data in urban areas using hybrid approach of geostatistics and generalized least square estimation, J. Nakdong River Environ. Res. Inst., 16, 301-320.
- Sung, C. Y., Li, M. H., 2010, The effect of urbanization on stream hydrology in hillslope watersheds in central Texas, Hydrol. Process., 24, 3706-2717. https://doi.org/10.1002/hyp.7782
- Tabios, G., Salas, J. D., 1985, A comparative analysis of techniques for spatial interpolation of precipitation, Water Resour. Bull., 21, 365-380. https://doi.org/10.1111/j.1752-1688.1985.tb00147.x