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This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

Model:SPHYSICS + (See manual)
Model:FwDET + (See: Version 2.0: Cohen et al. (2019), The … 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. Water Resources Association (JAWRA):1–12.)
Model:SimClast + (SimClast can theoretically be used on a le … 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.n of floodplain process reduces this to 500 m.)
Model:SISV + (Since we are doing DNS, we are restricted to low Reynolds numbers. Up to ~50,000 or possibly higher but very slow.)
Model:Kudryavtsev Model + (Solutions are generated for a 1D vertical column. When input data are gridded, maps of 1D vertical columns can be made.)
Model:MCPM + (Spatial resolution 0.1-1 m Cross section generally 100 m wide)
Model:CoastMorpho2D + (Spatial resolution from 1 m to 1 km Spatial extent up to hundreds of km)
Model:HydroPy + (Spatial resolution is determined from the auxiliary data and meteorological forcing)
Model:MarshPondModel + (Spatial resolution of 1 m to simulate small ponds)
Model:Shoreline + (Spatial resolution of coastline is typically 1 to 50 meters.)

Model:RiverMUSE + (Spatial scale is implicit; resolution is n/a.)

Model:BlockLab + (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.)
Model:MarshMorpho2D + (Suitable for a large range of spatial resolution (0.5 m to 100 m))
Model:SINUOUS + (The channel centerline is represented by X,Y coordinates with about one channel=width equivalent. The floodplain evolution, if simulated, has cells of one channel-width equivalent. Length of simulated domain and floodplain size depends upon input data.)
Model:AR2-sinuosity + (The channel is represented by a set of linked nodes. There are no intrinsic constrains for length scale or resolution.)
Model:TURBINS + (The current version is a DNS code, i.e. no … The current version is a DNS code, i.e. no turbulence model is incorporated yet. Hence, grid resolution should be carefully treated to resolve all the flow scales. In other words, limited by the computational costs, we are restricted to low Reynolds numbers (O(1,000)-O(10,000)).low Reynolds numbers (O(1,000)-O(10,000)).)
Model:CMIP + (The grid is 720 wide by 360 high, thus it a half degree resolution.)
Model:Meander Centerline Migration Model + (The lengths are scaled by the cross section half width of the river, i.e. the lenghts are dimensionless. Thus any kind of river scenario may be potentially simulated.)
Model:GENESIS + (The longshore extent of the modeled reach can range from less than 1 mile to 10's of miles.)
Model:Tracer dispersion calculator + (The model domain must be at least 10s of particle step length long.)
Model:AquaTellUs + (The model domain starts in the fluvial floodplain, the main river channel is considered an incoming boundary condition. Gridcells are typically averaged over 100's meters to 1000's of meters. Tests ran with grids of 150 by 150 km.)