Also known as
Model type Tool
Model part of larger framework LandLab
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.


fire, random, probability distribution,

First name Jordan
Last name Adams
Type of contact Model developer
Institute / Organization
Postal address 1
Postal address 2
Town / City Boulder
Postal code 80309
Country United States
Email address

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 As is, no updates are provided
When did you indicate the 'code development status'? 2020
Model availability As code
Source code availability
(Or provide future intension)
Through web repository
Source web address
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
Model forum / discussion board

This part will be filled out by CSDMS staff

OpenMI compliant
BMI compliant
WMT component
PyMT component
Is this a data component
Can be coupled with:
Model info
Citation indices FireGenerator
Nr. of pubs: --
Citations: 0
h-index: --"--" is not a number.
Qrcode FireGenerator.png
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Citation indices FireGenerator
Nr. of pubs: --
Citations: 0
h-index: --"--" is not a number.

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Input Files

Output Files