Preprocess Probability #

From the top-left corner of the AFEIM GUI, navigate to the FLAM tab. Under this tab, click on Preprocess Probability from the dropdown menu. This action will open a new window for preprocessing fire probabilities.

If you are working on this process for the first time, select New. This will create a new parameter file, and you’ll be able to save your processing setup, including the parameters and input data that will be configured in the following steps. If you’ve already set up a parameter file previously, you can choose Load and select the existing working file that you want to continue using or modifying.

After creating or loading a parameter file, the FLAM Parameters window (shown in the left panel below) will appear. Here, you will be able to configure or adjust various parameters such as human ignition probability, biomass availability, suppression probability, and more. While the default settings may work for general scenarios, you can adjust these values based on your region’s population density and fire risk. The parameters indicated below are pre-determined but can be adjusted based on your project’s specific requirements. Once you have set the parameters to your preference, click Save. The table below shows the FLAM parameters needed for this step with their corresponding formulas, parameter names, values, and descriptions. This is to help understand the parameters as needed for different fire modeling scenarios.

Here goes the TABLE

In the FLAM Preprocess Probability, as indicated in the instructions, the input data in the right-side tab can be pre-loaded based on what you set during the configuration process. However, you are free to modify this data to better suit your preferences or updated data inputs. After setting the data correctly, you can proceed with the probability preprocessing.

In the sample screenshot, the period is set from 2001-01-01 to 2014-12-31. For Population Data, you can choose whether to apply this data as Constant (population stays the same throughout) or Yearly (population varies annually). In this example, Constant is selected.

If you have lightning data, click the Open button next to Lightning and select the relevant file. Specify whether this data is Constant, Monthly, or Yearly. This depends on the data available for you.

For fuel data, select Constant or Yearly based on whether the fuel data changes over time. In the screenshot, Constant is selected, meaning the fuel data will remain the same across the entire time.

For Moisture Data, set the time interval to Daily if the moisture data is updated frequently. In this example, the moisture is set to Daily, allowing for day-to-day variations in fuel moisture content to be considered.

Once all the input data and parameters are set, click the Run button at the bottom right of the window to start the preprocessing. The model will now calculate various fire ignition probabilities based on the input data, as well as the total probability (P), and the results will be stored in the designated output folder shown below. First to process would be the P_m and F_supp. P_I would be empty if there is no lightning data provided, then the other probabilities will be continued to be processed before we get the total probability in the P folder. The output should be like this: