Property:Describe processes
From CSDMS
This is a property of type Text.
C
L
G
Two-dimensional depth-averaged flows, particularly suitable for tsunami and storm surge modeling, and has also bee used for dam breaks and flooding of river valleys. +
N
Uses a non-local means filter image processing technique to perform filtering/smoothing of a DEM. +
Uses the Python NetCDF toolkit (see python-netcdf on apt) to pull the desired information out of NetCDF files generated from NEXRAD (WSR-88D) outputs +
C
Using energetics-based formulations for wave-driven sediment transport, we develop a robust methodology for estimating the morphodynamic evolution of a cross-shore sandy coastal profile. The wave-driven cross-shore
sediment flux depends on three components: two onshore-directed terms (wave asymmetry and wave streaming) and an offshore-directed slope term. The cross-shore sediment transport formulation defines a dynamic equilibrium profile and, by perturbing about this steady-state profile, we present an advection-diffusion formula for profile evolution. Morphodynamic Péclet analysis suggests that the shoreface is diffusionally dominated. Using this depth-dependent characteristic diffusivity timescale, we distinguish a morphodynamic depth of closure for a given time envelope. Even though wave-driven sediment transport can (and will) occur at deeper depths, the rate of morphologic bed changes in response to shoreline change becomes increasingly slow below this morphodynamic closure depth. +
D
Watershed erosion +
O
Wave generation, propagation, shoaling, diffraction, refraction, breaking. Nonlinear wave-wave and wave-current interaction. Surf and swash hydrodynamics. +
Q
We model sedimentation in a fluvio-deltaic system under base-level changes. Possible dynamics include: (1) river aggradation (i.e., a seawards migration of the alluvial-basement transition), (2) river degradation (i.e., a landwards migration of the alluvial-basement transition), (3) regression (i.e., a seawards migration of the shoreline), and (4) transgression (e.g., a landwards migration of the shoreline). +
B
Weathering and erosion of bedrock on a hillslope; vertical and horizontal displacement due to earthquakes. +
C
Wind waves are computed by wave action propagation, tidal current are computed with a quasi static approximation. Bottom shaer stress, computed from a combination ot the two, induces bottom erosion. Suspended sediment are advected / diffused by tidal current, and eventually sedimented back. A different erosional process are used where waves break on a vertical obstacle (the vertical scarp at the marsh boundary). Vegetation is computed as a function of the ground elevation respect to the mean tidal level. Vegetation change bottom erodability and the sediment trapping. +
S
Z
D
development of dune landscapes under the interaction between aeolian sand transport and vegetation growth and response +
drying/flooding, turbulence and large eddies, stratification, internal waves, density effects of salinity, temperature and sediment, free surface flow, wave-current interaction, wind forcing, precipitation and evaporation, sediment sorting, fluid mud, morphological change, biochemical reactions, algae modelling, nutrient cycling, atmosphere-water exchange, adsorption and desorption of substances, deposition and re-suspension of particles and adsorbed substances, bacterial , predation +
F
S
fluid flow (2D potential flow), clastic sediment transport and deposition, carbonate deposition and transport, evaporate deposition, sea level change and coastline movement +
T
G
global-scale forward models of landscape evolution, dual-lithology (coarse and fine) sediment routing and stratigraphic history forced with deforming plate tectonics, paleotopographies and paleoclimate reconstructions. +
I
ice stress balance, ice mass transport / free surface, ice thermal (cold- and enthalpy-based), dual continuum hydrology, SHAKTI hydrology, GlaDS hydrology, ice damage mechanics, transient (time-dependent projection), grounding line dynamics, glacial isostatic adjustment (GIA), solid earth elastic response, sea-level fingerprints, positive degree day (PDD), surface energy balance (snow densification and surface mass balance calculation with the GEMB model), basal melt parameterizations (PICO/PICOP), empirical scalar tertiary anisotropy regime (ESTAR), uncertainty quantification capabilities (Dakota) +
