Calibration parameters and their range in EFDC model

EFDC is not a self calibrated model. There are several parameters that can be tuned in EFDC model to calibrate the parameters. Calibration is a process of comparing the modeled results with the observed data. If the modeled data and observed data match close then it is said that the model is calibrated. There are several parameters that are used to quantify the calibration process. They are average error, relative error, average absolute error, RMS error, Relative RMS error, Nash-Sutcliffe Efficiency Coefficient. 

The common parameters that can be tuned up to calibrate the EFDC model are as follows:1) Bottom roughness height
2) Wind drag coefficient
3) Solar Radiation (increasing or decreasing)
4) Wind sheltering
5) Smagorinsky Coefficient (c)
6) Vertical Eddy Viscosity
7) Fast Solar Radiation attenuation coefficient
8) Initialize thermal thickness of bed and bed temperature
9) Heat transfer coefficient between Bed / WC
Calibration Parameters and their Range
Calibration Parameters Calibration Range
Smagorinsky Coefficient 0.1 – 0.25
Roughness height 0.01 m – 0.1m
Wind sheltering coefficient depending on the location
Vertical Eddy viscosity 1.0E-7 to 1.0E-3 m2/s
Horizontal eddy viscosity 0.5-20 m2/s
(usually 10^2-10^7 times greater than vertical eddy viscosity)
Heat transfer coefficient between bed/ WC typically 0.3

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s