Model:CarboLOT

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CarboLOT

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Modular Model part of larger framework Note on status model Date note status model Incorporated models or components: Spatial dimensions 3D Spatial extent Global, Patch-Scale Model domain Marine, Carbonates and Biogenics One-line model description Population-ecology based model of shallow-ocean benthic carbonate accumulation Extended model description The 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. Keywords: carbonate sediments, population ecology, numerical model, benthic colonial organisms, Name Chris Jenkins Type of contact Project manager Institute / Organization INSTAAR Univ Colorado at Boulder Postal address 1 1560 30th St Postal address 2 UCB 450 Town / City Boulder Postal code 80309-0450 State Colorado Country United States Email address chris.jenkins@colorado.edu Phone +1 720 840 3303 Fax +1 303-492-6388 Supported platforms Windows Other platform Programming language Python Other program language Code optimized Single Processor Multiple processors implemented Nr of distributed processors Nr of shared processors Start year development 2010 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 Source code availability (Or provide future intension) Source web address Source csdms web address Program license type Other Program license type other -- Memory requirements Usual PC Typical run time 2 hours for 1000 year run Describe input parameters Model setup: grid extent and resolution, time stepping and duration. Environmental inputs (from global datasets, automated methods): bathymetry, seawater bottom temperatures, benthic irradiance, seafloor hardness, ocean wave climate Organism characteristics (automated from Knowledge Base): dimensions, construction, reproduction and survivorship Input format ASCII, Binary Other input format Describe output parameters 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. Output format ASCII Other output format Pre-processing software needed? No Describe pre-processing software Post-processing software needed? No Describe post-processing software Visualization software needed? No If above answer is yes Other visualization software Describe processes represented by the model 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 Describe key physical parameters and equations Bathymetry, seawater temperatures, ocean wave climate, benthic irradiance, seafloor hardness Describe length scale and resolution constraints Cells are approximately 1-1000m in scale; map areas 10-100km on side. Describe time scale and resolution constraints Timestepping is usually annual, extending over 1000 years. However the model is capable of doing finer and longer runs. Describe any numerical limitations and issues Usual Python limitations on floating point precision. ODE's are solved on scales much finer than annual, and their performance is monitored. Describe available calibration data sets The model produces virtual core-logs which can be compared with Ocean Drilling Program and other descriptive core logs and with outcrops. Upload calibration data sets if available: Describe available test data sets Upload test data sets if available: Describe ideal data for testing Do you have current or future plans for collaborating with other researchers? Yes Is there a manual available? Yes Upload manual if available: Model website if any Model forum / discussion board Comments Email to Chris.jenkins@colorado.edu for further details, manual, code, collaboration This part will be filled out by CSDMS staff OpenMI compliant No but possible BMI compliant No but possible WMT component No but possible PyMT component Is this a data component Can be coupled with:

Model info Authors Chris Jenkins Source code Model citations Nr. of publications: -- Total citations: 0 h-index: --"--" is not a number. m-quotient: 0 QR-code Link to this page Other models by author CarboLOT

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