Property:Describe available calibration data
From CSDMS
This is a property of type Text.
A
Cohen, S., G. Willgoose, and G. Hancock (2008), A methodology for calculating the spatial distribution of the area-slope equation and the hypsometric integral within a catchment, J. Geophys. Res., 113, F03027, doi:10.1029/2007JF000820. +
W
Data available from 1986-88 field experimentation (in compendium) using rainfall simulation. Also, validation data sets are available from USLE database. +
M
Default parameter and input files will produce steady state landscape with stream power erosion and mass wasting +
N
P
K
Example and validation datasets are available on the github page. +
T
Experiment data for steady channel flow can be found in:
Sumer, B. M., Kozakiewicz, A., Fredsoe, J., Deigaard, R., 1996. Velocity and concentration profiles in sheet-flow layer of movable bed. Journal of Hydraulic Engineering, (1996) 549-558.
Experiment for oscillatory flow can be found in:
O'Donoghue, T., Wright, S., 2004. Concentrations in oscillatory sheet flow for well sorted and graded sands. Coastal Engineering 50 (2004) 117-138. +
F
FVCOM was originally developed for the estuarine flooding/drying process in estuaries and the tidal-, buoyancy- and wind-driven circulation in the coastal region featured with complex irregular geometry and steep bottom topography. This model has been upgraded to the spherical coordinate system for basin and global applications. A non-hydrostatic version of FVCOM has been coded and is being tested.
See also website for model validations. +
G
Q
Have successfully tested the model on the Colorado river shelf system, and along analogue models. +
W
I
ILAMB has integrated testing of overall scores on a coarsened subset of observational data which runs via Azure pipelines. +
C
In one application, the rate of change in the model has been calibrated to a state data set averaging shoreline change over 50 years (from the North Carolina Department of Transportation; see Slott et al., 2007). Numerous other shoreline change data sets are available, based on surveys of various sorts, aerial photography, and recently LIDAR (e.g. Lazarus and Murray, 2007). +
S
E
Included with the ZIP file +
G
Laboratory experiments; long-term surveyed rivers; long profiles of transport-limited rivers +
C
Like most morphodynamical models the user is to supply long-term coastal change data from measured data. +
H
Long term sediment routine:
*Syvitksi & Milliman, Journal of Geology, 115, 2007.
Short term sediment routine:
*Morehead et al., Global and Planetary Change, 39, 2003. +
A
Model description and calibration can be found in:
Leonardi, N., and S. Fagherazzi (2014), How waves shape salt marshes, Geology , doi:10.1130/G35751.1.
Leonardi, N., and S. Fagherazzi (2015), Local variability in erosional resistance affects large scale morphodynamic response of salt marshes to wind waves, Geophysical Research Letters, 2015GL064730, doi:10.1002/2015GL064730. +
