Property:Describe length scale and resolution
From CSDMS
This is a property of type Text.
S
SBEACH is a beach profile evolution model. The model domain should extend from the landward limit of wave run-up offshore to the depth of closure. +
SWAN can be used on any scale relevant for wind generated surface gravity waves. However, SWAN is specifically designed for coastal applications that should actually not require such flexibility in scale. The reasons for providing SWAN with such flexibility are:
* to allow SWAN to be used from laboratory conditions to shelf seas and
* to nest SWAN in the WAM model or the WAVEWATCH III model which are formulated in terms of spherical coordinates. +
O
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 +
T
See https://tribshms.readthedocs.io/en/latest/ +
S
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
S
SimClast can theoretically be used on a length scale upwards of 20 kms, the upper limit is dependant on memory and processing restrictions. Typical length scales vary from 25 to 500 km. The highest resolution is mainly dependant on the use of intracellular fluvial deposition, as described in Dalman & Weltje (2008) this restricts the minimum cell size to 4 kms. Recent addition of floodplain process reduces this to 500 m. +
Since we are doing DNS, we are restricted to low Reynolds numbers. Up to ~50,000 or possibly higher but very slow. +
K
Solutions are generated for a 1D vertical column.
When input data are gridded, maps of 1D vertical columns can be made. +
M
C
Spatial resolution from 1 m to 1 km
Spatial extent up to hundreds of km +
H
M
Spatial resolution of 1 m to simulate small ponds +
S
R
B
Standard LEM constraints on length scale: reach scale and above until you run out of computing power. Resolution is constrained by block size, should generally be order 1-10 m. +
M
Suitable for a large range of spatial resolution (0.5 m to 100 m) +