Like other fire behavior models, WFDSS Short-Term Fire Behavior (STFB) requires the following data to perform fire behavior calculations:
WFDSS provides much of the necessary information to perform fire spread and fire behavior calculations. For STFB, the Fire Behavior Specialist (FBS) can adjust the inputs (weather, winds, and landscape data) as needed. The following table lists the inputs required for the WFDSS Short-Term Fire Behavior model:
Table 1: Inputs Required for an Short-Term Fire Behavior Model
Input |
Source |
Comments |
FBS-defined |
Limited to 48 characters, do not use underscores. The analysis name cannot contain an apostrophe or backslash; the cursor blinks if you try to add these characters and a message displays that these characters are disabled. Can be changed any time before analysis is submitted. |
|
Analysis Date and Time |
FBS-defined |
This is the "instant in time" for which you want fire behavior outputs. |
The default conditioning period is 7 days prior to the analysis start date |
The FBS can choose the number of days, but should use at least 5 days so 100-hour time lag fuels can be fully "conditioned". |
|
Burn period duration in hours |
FBS-defined |
The FBS must decide how many hours to use for one burn period (keeping in mind that the same winds and fuel moistures will be used for the entire burn period) |
Number of burn periods (days) |
FBS-defined (limited to 3) |
The FBS must decide how many days of the previously determined burn period will be used for the analysis (keeping in mind that the same winds and fuel moistures will be used for all burn periods) |
Foliar Moisture Content |
WFDSS Default is 100% |
Using 100% foliar moisture is probably adequate to depict a normal year; however, you can modify this value as needed. |
Finney (1998) or Scott-Reinhardt (2001) |
The Finney crown fire model is the default for the BFB, STFB, NTFB and FSPro models. For recent versions of LANDFIRE (2010, 2014) canopy bulk density values were computed to produce more active crown fire when using the Scott and Reinhardt model compared to the Finney crown fire model. You would expect to see slower rates of spread and less fire intensity for predicted passive crown fire when using Finney versus Scott and Reinhardt crown fire models. Whatever crown fire model you choose, it is important to calibrate your simulated fire behavior to observed fire behavior. |
|
Spread Options |
Relative Direction from Max. |
For Relative Direction from Max, 0 degrees is the default, but you can input whatever value you want to use, depending on what spread direction is of concern. |
WFDSS default is 0.10. Can be modified by FBS using decimal values from 0-1 (0.40 is 40%). |
Enter a decimal value to estimate likelihood of an ember landing on a receptive fuel bed. Higher values increase run time. Spotting should be used sparingly. It is better to modify a fuel model to get an increase in fire spread rather than spotting. |
|
FBS-defined (required) |
The FBS chooses the ignition file from a pull down menu. |
|
Barrier File |
FBS-defined (optional) |
If needed, FBS chooses the barrier file from the drop-down list. |
Remotely Automated Weather Station (RAWS)* |
WFDSS selects a RAWS based on the following criteria:
|
Even though WFDSS selects the "closest" RAWS, the FBS can choose to use a different station, if needed. The FBS can select fewer conditioning days and a different weather station that has weather data requisite for the conditioning days selected. Loading the RAWS KML (from left-hand menu) into Google Earth can give you insight into which RAWS would be most appropriate for your analysis. |
Wind inputs |
Wind speed and direction values are populated using National Weather Service (NWS) Forecast Data if the analysis is for the future and WIMS (RAWS data) if the analysis is in the past. |
Gridded winds (default) are generated when the landscape is produced and the wind vectors are created at the same resolution as the landscape. If gridded winds are not desired the FBS can choose to use static winds (one direction and speed across the landscape) or winds blowing uphill or downhill at a static speed. |
Initial Fuel Moisture inputs |
Initial fuel moisture values for the beginning of the conditioning period are calculated based on the RAWS locations. |
The live fuel moistures (herbaceous and woody) are not affected by fuel moisture conditioning, the FBS should critique these values and change as appropriate.The algorithms for calculating live fuel moistures are known to be poor and they are not "conditioned" like dead fuels. The FBS should always critique these values based on other intelligence from the field, online fuel moisture databases, greenness maps, known fire behavior, or guidance found in the Fire Behavior Field Reference Guide. |
Hourly Weather Records
|
The Weather Summary Table displays several days (rows) of daily weather summaries. Hourly data can be viewed and edited by selecting a date and clicking the 'Hourly Records' button below the table. The following hourly inputs are used by STFB:
|
The FBS can change these values as needed.
Values that are not editable are not being used by the model (for example, wind speed and direction as those values are unchanging in STFB and set by the FBS in the Wind Inputs).
The 'Record Type' column indicates if the data is coming from a RAWS or from forecasted weather.
|
Landscape extent (extent of analysis area) |
FBS-defined (required) |
The FBS will draw the landscape extent (normally no more than 5-6 miles per side) on the Analysis Map page. Remember, for STFB, which is a very short moment in time, you do not typically need to model a large extent since fire conditions typically change by the hour/day. |
Landscape Data Sources |
WFDSS |
In addition, the user can modify landscape data layers using the Landscape Editor. |
* WFDSS chooses the nearby RAWS in the following way: The ignition location is used as a starting point. Then, a horizontal/vertical distance algorithm sorts the RAWS stations within a given area. Next, WFDSS iterates through the list until the first station is found with the requisite fuel moisture / weather information (continuous hourly observations).
In This Section |
See Also |
Reference |