# Rothermel_SFIRE ## Workflow information - Documentation page: - Version: 1.1 - Date of record creation: 2024-12-03 - Date of upload to firebench: 2024-12-03 - Version/tag/commit firebench: 0.3.2a0 ## Configuration - Rate of spread model: Rothermel using `firebench.ros_models.Rothermel_SFIRE` implementation. - Number of point Sobol: 2^10 ## Specific inputs - The environmental variables chosen for this test are: - `WIND_SPEED` from -15 m s-1 to 15 m s-1, - `SLOPE_ANGLE` from -45 deg to 45 deg, - `FUEL_MOISTURE_CONTENT` from 1% to 50%. ## Hardware/software description - Apple M2, macOS 14.7.1 - Python 3.10.8 ## Results **Fig.1** shows the execution time aggregated for all fuel classes (total) and for each fuel class. As fuel category 4 uses a different rate of spread calculation within the SFIRE implementation of Rothermel, a difference in performance is expected. Overall, the performance is very similar for each fuel category and a mean execution time of 6.698 $\mu$s over 106,496 samples. 
Fig. 1 : Execution time boxplot for Rothermel rate of spread model using Anderson13 fuel model. Fliers points not shown on the figure.
## Data - path to data: - **01_generate_data.py**: `ab95fdc101ae108b3d1592ec0291febf07621e3001c989b0973f2c9d69e48af1` - **02_plot_data.py**: `6e8398298215938a08900555bb04390e4a9281cbb250f6fbc59a66eedb28f854` - **03_create_record.py**: `dfb138fe4ccaf999746eefdd9e23cc07453cd5b28ad8247f9eac15d7fa3d84ed` - **firebench.log**: `eb6ad262459db70de254592248239fe256d4e63f3af69bbbe35ac7d7feaae764` - **output_data.h5**: `421036734d13f57d84f9bc0e197255bd70523cf5b91e9e02d320ca805f189c04` - **efficiency_box.png**: `f1942c22f82c906f84be33c22ff596765e4336727ddfac80c860a470fe37dd7b`