Mathematical models of large watershed hydrology

By Vijay P. Singh, D. Frevert. 2002

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Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology (2007, background): “Aided by increased process understanding, digital terrain attributes and the explosion of computing power, a large number of highly sophisticated models have been developed (Singh and Frevert, 2002).”
Model identification for hydrological forecasting under uncertainty (2005, background): “Many such models are in operational use, applied to assess future climate or land use scenarios, analyze current systems, forecast flood events in real-time, or in support of sustainable water resources management (e.g. Singh and Frevert 2002a, b).”
Effects of resource availability and climate on the diversity of wood‐decaying fungi (2010, methodology): “We then developed a statistical model to predict, for each plot and for the time span between 1980 and 2007, the daily means of temperature, precipitation, relative humidity and global radiation using the digital terrain model ArcEGMO (Becker et al. 2002).”