Property:Describe numerical limitations

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Showing 20 pages using this property.
T
This model/component needs more rigorous testing.  +
This model/component needs more rigorous testing.  +
D
Use with high rates of SLR will require additional work on the vegetation rules; currently with both vegetation and high rates of SLR the simple water routing rules are unable to consistently route water to the shoreline.  +
C
Usual Python limitations on floating point precision. ODE's are solved on scales much finer than annual, and their performance is monitored.  +
N
Wave modules have an automatic grid refinement feature. Circulation modules have two kinds: CFL limited and CFL-free schemes.  +
D
With larger DEMs this tool will take longer to run - it takes around half an hour to run with a 1m DEM with 23000 rows and 18000 columns. Documentation is available for guidance.  +
K
analytical solution  +
Z
described on project webpage  +
X
explicit numerical scheme with automatic timestepping based on CFL criterion  +
D
heavy sequential number crunching (not written for parellel processing)  +
F
limited to applications to wall-bounded channel domains.  +
W
max grid size is 100 by 100.  +
M
R
n/a  +
D
n/a Limitations on the method do occur when delta systems consist of only a few islands, then the input dataset of geometric parameters becomes too small for the machine learning methods.  +
C
not relevant  +
M
reach-averaged channel sinuosity is assumed to be fixed, sand is modeled in terms of a single grain size and floodplain topography (floodplain channels) is not considered.  +
D
relatively mild stability and accuracy constraints (depending on application) due to implicit numerical schemes  +
G
see User's Guide and Moore et al., 2010  +
O
see numerical aspects described in Section 4 of the documentation  +