Property:Describe ideal data
From CSDMS
This is a property of type Text.
H
Any 1m resolution digital elevation model. +
C
Any bedrock channel profile. Module is intended for use on topographic data. +
T
Any experimental dataset on tracer dispersal in an bed that is not too far from equilibirum conditions +
C
As a test, you can use the attached test data Q and Qs, and run
{Qd,Delta_hcs,Bcs,Delta_hcsd,Bcsd,Qout,Qcs,Zcs,Hcs,Vcs}=mainCS(Q,Qs,365,232,1,2,965,2.3,4795,0.009,0.03,1.377e-4,-2,0.0005,0.004,1.5,0.7,1800,2.5e-4,25,4.5e-4) +
A
Boundary conditions like river discharge and sediment loads, input grainsize data, sea level history.
Floodplain and deltaic sedimentation rates and grainsize data. +
C
W
Cassini data describing Titan photochemical haze. Laboratory work constraining haze properties. +
S
Channel migration data for real meandering rivers. Topography of floodplains of actual migrating rivers. +
ClastSim is ideally used for field tests, a preferably well-studied area with some knowledge of the sediment budget is preferred. Most continental to shallow marine clastic coastal systems without too much tidal influence can be used. +
C
Coarse-grained delta experiments without too valley widening, e.g. many XES experiments conducted at the Saint Anthony Falls Laboratory by Paola et al. +
M
Examples are included in the submission +
A
Examples of model output are available in the following data repository:
Limaye, A. B., 2021, Sinuosity data for numerically modeled and natural channels, University of Virginia Dataverse, https://doi.org/10.18130/V3/TRTTIS. +
W
Field data should be used for testing. Lab data has incosistent scaling between gravity and capilary waves. +
C
W
For field scale:
# Flooding of Dade County watershed in South Florida,
# Flooding of South Fork Broad River Watershed in South Carolina due to Hurricane Earl,
# Redistru=ibution of waters in a wetland watershed along Biscayne Bay Coast Wetlands.
For Laboraty Test:
# Circular Dam Break problems,
# two dimensional non-symmetrical dam break problem, and
# Constructed storm water treatment area. +
S
High-resolution coastal change data, for example, digitized from aerial photography or measured with GPS. +
W
Ideal data would consist of breakpoint (recording raingage) rainfall data, observed temperatures, radiation, wind, plant cover, residue cover, storm runoff, storm sediment loss, etc. +
G
It can be used to test different hypothesis related to Earth past evolution and to characterise the role of several drivers such as precipitation, dynamic topography, sea-level on Earth landscape evolution and sedimentary basins formation. +
B
D
Known boundary conditions, discharge, and sediment load as well as basin fluctuations.
Dated stratigraphic profiles in deltas that are mostly fluvial dominated, ie lake deltas. +
G
L
Lake temperature time series, known lake depth, underlying permafrost time series. Surface temperature time series as input (not air temperature). +
R
Long term (at least 10 years) of data on stream channel evolution. This would include changes in both channel width and bed elevation throughout a small channel network. Also have a continuous time series of discharge and physical characteristics of the stream channels (bed grain size distribution, bank soil erodibility, etc.). +
K
Long term, high resolution (annual to couple years) datasets of marsh accretion. Similar time series of channel characteristics would be useful. +
R
More aspects of the model will be tested in the Everglades as part of the upcoming Decompartmentalization Physical Model, a series of experimental flow releases that will elevate water-surface slope and flow velocities and likely entrain sediment. Coinciding measurements of flow velocities and sediment transport characteristics will be made within different vegetation communities as part of the experiment. +
H
F
N/A +
E
M
None +
F
P
PIHM is a distributed watershed model that can represent surface/subsurface processes at scales ranging from a few hundred m^2 to 10,000 km^2. However, large systems will require the parallel version currently under development +
Q
A
Reasonable relief catchment. +
G
Robust river nutrient fluxes near the mouth representative of annual, contemporary conditions. +
Sample input and output files are included with the code. +
C
See answer above and Ashton and Murray (2006a, b). Data sets spanning large spatial scales are most appropriate, and if model behaviors are going to be compared to shoreline change, long temporal scales are best (see ‘limitations’ above). +
E
See article: https://doi.org/10.3390/rs10121915 +
O
T
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data. +
