Comparison of neural network methods for infilling missing daily weather records

Accurate estimate of missing daily precipitation data remains a difficult task particularly for large watersheds with coarse rain gauge network. Reliable and representative precipitation time series are essential for any rainfall–runoff model calibration as well as for setting-up any downscaling model for hydrologic impact study of climate change. This study investigates six different types of artificial neural networks namely the multilayer …