Property:Describe available calibration data
From CSDMS
This is a property of type Text.
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A total of 17 flow problems and 15 water quality transport problems are presented in WASH123D. These example problems can serve as templates for users to apply WASH123D to research problems or practical field-scale problems. For the 17 flow examples, the following objectives are achieved: Seven to demonstrate the design capability of WASH123D using seven different flow modules; Four to show the needs of various approaches to simulate various types of flow (critical, subcritical, and supercritical) in river networks and overland regime; and Five to illustrate some realistic problems using WASH123D. +
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An application dataset for the Le Sueur Basin is included as part of the source file download with all associated calibration and validation data. +
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An application dataset for the Minnesota River Basin and Clear Creek/Tushar Mountains is included as part of the source file download. +
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An intercomparison of the Matlab and Python versions of DeltaRCM is in the works. +
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Biomass productivity and marsh accretion rates from 1984-present, described in Morris et al. (2002). +
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Calibration must be based on external hydraulic and channel morphology data. Optimal parameters can be determined by test simulations. +
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Cliffs is benchmarked as described in: E. Tolkova. Land-Water Boundary Treatment for a Tsunami Model With Dimensional Splitting
Pure and Applied Geophysics, Vol. 171, Issue 9 (2014), pp. 2289-2314
Examples of modeling with Cliffs (complete set-ups included) are described in Cliffs User Manual at http://arxiv.org/abs/1410.0753 +
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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. +
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Data available from 1986-88 field experimentation (in compendium) using rainfall simulation. Also, validation data sets are available from USLE database. +
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Default parameter and input files will produce steady state landscape with stream power erosion and mass wasting +
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Example and validation datasets are available on the github page. +
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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. +
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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. +
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Have successfully tested the model on the Colorado river shelf system, and along analogue models. +
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ILAMB has integrated testing of overall scores on a coarsened subset of observational data which runs via Azure pipelines. +
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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). +
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Included with the ZIP file +
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Laboratory experiments; long-term surveyed rivers; long profiles of transport-limited rivers +
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Like most morphodynamical models the user is to supply long-term coastal change data from measured data. +
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Long term sediment routine:
*Syvitksi & Milliman, Journal of Geology, 115, 2007.
Short term sediment routine:
*Morehead et al., Global and Planetary Change, 39, 2003. +
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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. +
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Model is designed and calibrated for Alaska Coastal Plain.
We calibrated the model against temperature data in the subsurface from the Drew point, AK, USGS meteorological station. +
