EESB04H3 Lecture Notes - Lecture 2: Kriging, Capillary Action, Surface Tension

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What is a hydrological model: water as an important substance. Spatial variability: main point: difficult to get a handle on unless a lot of sampling done, several methods for characterizing, spatial modeling methods (i. e. contours, kriging), statistical techniques. Temporal variability: relatively easy to characterize for some variables (i. e. stream discharge); much more difficult for others (i. e. certain water chemicals), time series. Example: spatial variability of great lakes" residence times: residence time (tr): the average amount of time that a parcel of water remains in a reservoir (system or subsystem) with respect to inflow and outflow rates. Spatial distribution of water and hydrological processes on earth. Spatial variability in global precipitation: areas where air tends to rise lead to higher amounts of precipitation, whereas in areas where air tends to fall, precipitation is much less. Hydrological models: a hydrological model is a simulated, much simpler, representation of the natural or human-constructed world, model types:

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