EESB04H3 Study Guide - Midterm Guide: Sensitivity Analysis, Time Series, Longwave
19 Dec 2019
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Stimulated representation of natural or man made world. Model types: empirical: develop stat relationship between variable in large datasets. It considers the somewhat randomness of certain hydrological process (good ) Its commonly used in hydrology b/c its impossible to predict the exact amount of precipitation and probability of precipitation, but it"s easy to say it will rain about . In complex models, the output may be become input for another model component. Robust: relatively usable in places ( thailand, canada, germany) Model is an equation or series of equations. Typical output: time series of important hydrological variables (et and runoff) Be wary of modeling, but don"t be wary of trying to model. Models are crucial for identifiying areas of crucial research need. Many models are simply made for doing relative comparision between different systems. It can often be borne out by sensitivity analysis. It is ignorant to think that models can give you an absolute answers.
