Model:QDSSM

QDSSM

Also known as
Model type	Single
Model part of larger framework
Note on status model
Date note status model

Spatial dimensions	3D
Spatial extent	Landscape-Scale
Model domain	Coastal
One-line model description	Quantitative Dynamic Sequence Stratigraphic Model
Extended model description	QDSSM is a 3D cellular, forward numerical model coded in Fortran90 that simulates landscape evolution and stratigraphy as controlled by changes in sea-level, subsidence, discharge and bedload flux. The model includes perfect and imperfect sorting modules of grain size and allows stratigraphy to be build over time spans of 1000 to million of years.

Keywords:	landscape evolution, stratigraphy, coastal evolution,

Supported platforms	Windows
Other platform
Programming language	Fortran90
Other program language
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	1998
Does model development still take place?	Yes
If above answer is no, provide end year model development
Code development status
When did you indicate the 'code development status'?
Model availability	As code
Source code availability (Or provide future intension)
Source web address
Source csdms web address
Program license type	Other
Program license type other	NOT SURE
Memory requirements	--
Typical run time	On a 0.5 GHz Windows server, a 1000 time steps and 50 x 50 cell grids takes less than 2 minutes. The run time is never an issue. Getting the input files in place to make a run is the limiting factor. Memory becomes an issue with increasing size of the cell grid.

Describe input parameters	Input is in the form of values per time step for the following variables: files of rain fall, river inlet, sea-level, substratum thickness, tectonics, subsidence, while the model is calibrated through environmental coefficients, threshold slopes, threshold discharge, and set for interval time steps, number of time steps, environmental coefficients (m2/yr) and substratum grain size.
Input format	ASCII
Other input format
Describe output parameters	Maps of geomorphology, discharge, deposition, isopachs, stratigraphic thickness, grain size, contour, subsidence, and environment
Output format	Binary
Other output format
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	No
Describe post-processing software
Visualization software needed?	Yes
If above answer is yes
Other visualization software	Surfer

Describe processes represented by the model	Time-averaged sediment transport by long-range river transport based on discharge and gradient and on short range diffusive transport based on gradient and diffusion coefficients. Thresholds for slope and discharge can be set and act as a means to keep the flow from spreading over every adjacent grid cell allowing avulsion and bifurcation processes to be modeled.
Describe key physical parameters and equations	Basin digital elevation model.
Describe length scale and resolution constraints	The model has been successfully used for simulation of river-shelf-slope configuration with a length of 0.005–400 km. The very short length scale refers to laboratory produced physical landscape models that have been used for calibration of avulsion and headward erosion processes.
Describe time scale and resolution constraints	Time steps of 10 – 1000 years depending on output range. Total range up to Millions of years.
Describe any numerical limitations and issues	The model does not allow for compaction

Describe available calibration data sets	Have successfully tested the model on the Colorado river shelf system, and along analogue models.
Upload calibration data sets if available:
Describe available test data sets
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Describe ideal data for testing	Time-averaged values over 1000 years from seismic and sequence stratigraphic studies.

Do you have current or future plans for collaborating with other researchers?

Is there a manual available?	No
Upload manual if available:
Model website if any
Model forum / discussion board

Comments	Model was initially developed to interpolate between analogue experiments and landscape evolution done at the Utrecht University by George Postma and coworkers.

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Meijer

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