Model:FireGenerator

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FireGenerator

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Tool Model part of larger framework LandLab Note on status model Date note status model Incorporated models or components: Spatial dimensions 1D Spatial extent Reach-Scale, Watershed-Scale Model domain Terrestrial, Climate, Ecosystems One-line model description This component generates a random fire event or fire time series from the Weibull statistical distribution. Extended model description This component generates random numbers using the Weibull distribution (Weibull, 1951). No particular units must be used, but it was written with the fire recurrence units in time (yrs). Using the Weibull Distribution assumes two things: All elements within the study area have the same fire regime. Each element must have (on average) a constant fire regime during the time span of the study. As of Sept. 2013, fires are considered instantaneous events independent of other fire events in the time series. Keywords: fire, random, probability distribution, Name Jordan Adams Type of contact Model developer Institute / Organization Postal address 1 Postal address 2 Town / City Boulder Postal code 80309 State Country United States Email address jordan.adams@colorado.edu Phone Fax Supported platforms Unix, Linux, Mac OS, 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 2013 Does model development still take place? No If above answer is no, provide end year model development 2020 Code development status When did you indicate the 'code development status'? Model availability As code Source code availability (Or provide future intension) Through web repository Source web address https://github.com/landlab/landlab/tree/master/landlab Source csdms web address Program license type BSD or MIT X11 Program license type other Memory requirements Typical run time Describe input parameters grid: landlab model grid mean_fire_recurrence : float Average time between fires for a given location shape_parameter : float Describes the skew of the Weibull distribution. If shape < 3.5, data skews left. If shape == 3.5, data is normal. If shape > 3.5, data skews right. scale_parameter : float, optional Describes the peak of the Weibull distribution, located at the 63.5% value of the cumulative distribution function. If unknown, it can be found using mean fire recurrence value and the get_scale_parameter(). Input format ASCII Other input format Describe output parameters time_to_next_fire : float: Updated value for the time to next fire. 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 Describe key physical parameters and equations Describe length scale and resolution constraints Describe time scale and resolution constraints Describe any numerical limitations and issues Describe available calibration data sets 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? Is there a manual available? No Upload manual if available: Model website if any https://landlab.github.io Model forum / discussion board https://github.com/landlab/landlab/issues Comments This part will be filled out by CSDMS staff OpenMI compliant Not yet"Not yet" is not in the list (Yes, No but planned, No but possible, No not possible) of allowed values for the "Code openmi compliant or not" property. BMI compliant Not yet"Not yet" is not in the list (Yes, No but planned, No but possible, No not possible) of allowed values for the "Code IRF or not" property. WMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property. PyMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code PyMT compliant or not" property. Is this a data component Can be coupled with:

Model info Authors Jordan Adams Source code Go to external source code site 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 DetachmentLtdErosion FireGenerator OverlandFlow OverlandFlowBates PrecipitationDistribution

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