Property:Describe ideal data

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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
Laboratory and field data of free-surface flow and clastic transport rates.  +
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
N/A  +
F
N/A  +
E
M
None  +
F
One of the case studies in Cohen et al (2017). Flood event in Lyons, CO.  +
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
Physical experiments and/or field observations of the sedimentary record.  +
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 Tucker (2009)  +
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
See user documentation available at website  +