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From CSDMS
Email to Chris.jenkins@colorado.edu for further details, manual, code, collaboration  +
No but possible  +
0  +
Boulder  +
No but possible  +
No but possible  +
Single Processor  +
United States  +
Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
21:46:16, 11 July 2011  +
The model produces virtual core-logs which can be compared with Ocean Drilling Program and other descriptive core logs and with outcrops.  +
Model setup: grid extent and resolution, tModel setup: grid extent and resolution, time stepping and duration.</br>Environmental inputs (from global datasets, automated methods): bathymetry, seawater bottom temperatures, benthic irradiance, seafloor hardness, ocean wave climate</br>Organism characteristics (automated from Knowledge Base): dimensions, construction, reproduction and survivorshiponstruction, reproduction and survivorship  +
Bathymetry, seawater temperatures, ocean wave climate, benthic irradiance, seafloor hardness  +
Cells are approximately 1-1000m in scale; map areas 10-100km on side.  +
Usual Python limitations on floating point precision. ODE's are solved on scales much finer than annual, and their performance is monitored.  +
Benthic carbonate accumulation; sediment character and thickness; organism stocks and remains; environmental history; 2D-3D map graphics; graphs of stocks and vacant seafloor through time.  +
Population ecology represented by diffuse competition Lotke-Volterra calculus, cellular automaton, cellular stochastic models. Sediment transport arbitrated by slopes and wave energy pickup Bioerosion scaled to the seafloor presence of skeletal material  +
Timestepping is usually annual, extending over 1000 years. However the model is capable of doing finer and longer runs.  +
The carbonate production is modelled accorThe carbonate production is modelled according to organism growth and survival rates moderated by habitat suitability (chiefly light, temperature, nutrient). The environmental inputs are extracted from global databases. At the seabed the model's vertical zonation allows for underground (diagenetic) processes, bed granular transport, lower stable framework, upper collapsable framework. This voxelation allows for the carbonate to be placed (accumulated) correctly within the bedding and clast fabrics. The stratigraphy and seabed elevation are built in this way. As conditions change (e.g., by shallowing) the biological communities respond in the simulation, and so too do the production rates and clast/binding arrangements. Events punctuate the record, and the organism assemblages adjust according to frequencies and severities. The population stocks are calculated by diffuse competition in a Lotke-Volterra scheme, or via cellular simulations of close-in interactions to represent competition by growth, recruitment.resent competition by growth, recruitment.  +
+1 303-492-6388  +
Chris  +
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ASCII  +  and Binary  +
INSTAAR Univ Colorado at Boulder  +
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Jenkins  +
0  +
Usual PC  +
Marine  +  and Carbonates and Biogenics  +
carbonate sediments  +, population ecology  +, numerical model  +  and benthic colonial organisms  +
Modular  +
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02:14:59, 17 September 2020  +
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Population-ecology based model of shallow-ocean benthic carbonate accumulation  +
+1 720 840 3303  +
1560 30th St  +
UCB 450  +
80309-0450  +
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2 hours for 1000 year run  +
Global  +  and Patch-Scale  +
Colorado  +
Windows  +
Project manager  +