"Training is useful, but there is no substitute for experience."
Experience is a key element of modeling and also one of the primary reasons why modeling is often called an art.
"Modeling is useful, but there is no substitute for field sampling."
A numerical model (and its results), is guilty until proved innocent by data. This highlights the importance of calibrating models against measured data (Zhen-Gang Ji, 2008).
"Modeling is a little like art in the world of Pablo Picasso. It is never completely realistics; it is never the truth. But it contains enough of the truth, hopefully, and enough realism to gain understanding about environment systems." (Schooner,1996).
The two primary reasons to conduct modeling are:
1) to better understand physical, chemical, and biological processes and
2) to develop models capable of realistically representing surface waters, so that the models can be used to support water quality management and decision making.
No comments:
Post a Comment