Property:Describe numerical limitations
From CSDMS
This is a property of type Text.
C
See documentation. The major limitation is computational time. This can be alleviated with sensible selection of module parameters. See documentation for guidance. +
T
See https://tribshms.readthedocs.io/en/latest/ +
S
N
See related publication by J. A. Czuba. +
R
See related publications by J. A. Czuba. +
F
See:
Version 2.0: Cohen et al. (2019), The Floodwater Depth Estimation Tool (FwDET v2.0) for Improved Remote Sensing Analysis of Coastal Flooding. Natural Hazards and Earth System Sciences (NHESS)
Version 1.0: Cohen, S., G. R. Brakenridge, A. Kettner, B. Bates, J. Nelson, R. McDonald, Y. Huang, D. Munasinghe, and J. Zhang (2017), Estimating Floodwater Depths from Flood Inundation Maps and Topography. Journal of the American Water Resources Association (JAWRA):1–12. +
D
G
Semi-implicit solution can decrease in accuracy for extremely long (hundreds of millions of years for typical input parameters) time steps +
P
F
Some of the fuzzy logic methods do not produce unique results as there are a variety of method choices that best 'match' test data. For example, the user can choose a variety of aggregation methods to calculate final carbonate facies and productivity values. +
A
Some parameter values result in channels that self-intersect. The code outputs both the raw centerline and a simplified centerline with self-intersections removed. +
I
C
Subject to CFL stability condition. Sharp depth changes can cause instability even with low Courant numbers. Pre-processing with depth_ssl is recommended (see Cliffs User Manual at http://arxiv.org/abs/1410.0753 ) +
T
TUGS was developed with a fairly low budget, and thus, bugs may still exist. There are, however, no known numerical limitations at this point. +
S
O
The calculations assume the waves are wind waves with periods in the range of 0-~30 s. If the waves are much larger or produced by a different mechanism, the calculations are not likely to be accurate. +
T
The elevation specific equation of mass conservation is integrated with the Euler method. Thus, the user should carefully choose the spatial distance between computational nodes in the vertical and streamwise direction, as well as the temporal increment, to guarantee the numerical stability and mass conservation. +
C
The fluvial sediment transport equations are quasi-diffusive and typically have orders of magnitude spatial variations in rate coefficient (reflecting differences in water discharge), which makes the system of equations stiff. Small time steps are typically required, which can lead to long compute times for large meshes. +
S
The model cannot yet fully handle complex coastline geometries, such as those that cannot be represented (after rotation) by a single-valued function. +
Q
