Property:Describe numerical limitations
From CSDMS
This is a property of type Text.
R
G
Numerical instabilities occur if the time step is too large. +
C
Numerical limitations and issues:
# Currently the model runs with a constant timestep, which is limited by the maximum inflow. Future versions may include adaptive time-stepping.
# As mentioned above, the model channels tend to be one or two cells wide. Future versions may address this issue with some combination of diffusive regularization or multi-scale modeling. +
A
Overall, the model is very computationally intensive. It is usually ran on a grid or a cluster. +
T
Overland flow is currently modeled in a nonstandard way. Diffusive wave and dynamic wave routing routines need more testing. The linkage between the unsaturated zone (infiltration component) and saturated zone (subsurface flow component and water table) is not robust. +
I
Poor scaling for ice-flow models with direct solvers (improves upon use of iterative solvers, but convergence is not systematic). +
T
C
Probably more than we know but none come to mind. +
M
R
ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem. +
C
ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem. +
U
ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem. +
C
ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem. +
Run times can be long (60 +days for large areas over many 100's of years).
Flow model is steady state +
L
Runs slowly - iterates implicit scheme. Some sort of matrix algebra might improve speed. +
M
Runs with grid sizes greater than about 600x600 may require many days on a PC.
Model assumes fluvial streams have gradients determined by steady-state transport.
Depositional stratigraphy not modeled. +
S
SBEACH is an empirically based model that was developed for sandy beaches with uniform representative grain sized in the range of 0.2 to 0.42 mm. SBEACH should be tested or calibrated using data from beach profile surveyed before and after storms on the project coast. +
P
See 'Description of Input and Examples for PHREEQC Version 3 - A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations'. +
W
See WRF-Hydro Technical Description https://ral.ucar.edu/projects/wrf_hydro/technical-description-user-guide +
E
See article: https://doi.org/10.3390/rs10121915 +
