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Description
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GitHub @Den-Boychuk
What is needed?
Issue and background
- Short-term projections are available in Nomad, but are problematic because of how FireSTARR compensates for FBP overprediction
- The usual field practise for overprediction is to deterministically zero out ROS outside peak burn hours and/or when indices are below specified values
- In contrast, FireSTARR compensates by “randomly” zeroing ROS during individual hours throughout the day
- The approach came from McAlpine’s conceptual “spread event” model and Podur and Wotton’s statistical “spread event” model, which regressed probability of satellite hotspot detection against indices and FBP intensity
- FireSTARR zeros out ROS if a uniform random number is below a threshold, which is a function of indices
- ROS is unlikely to be zeroed out when indices are high-extreme
- ROS is usually but not always zeroed out overnight
- Podur and Wotton’s statistical model has a 1-day time resolution, while FireSTARR has a 1-h time resolution
- A justification of intra-day randomization is that wind speed and gustiness are more variable in the world than implied by FWI87’s daily wind speed reading
- FireSTARR’s fire growth over 24 h therefore depends on 24 random draws resampled over many simulations, so the resulting burn probability map is “smooth”
- In contrast, a 2-h projection will have only 2 random draws
- The ROS will be either zero or FBP during each hour, no matter how many simulations, so the probability map can’t be “smooth”: (FBP, FBP), (FBP, 0), (0, FBP), (0, 0)
Recommendation
- Consider whether a non-smooth burn probability map is a problem, and if so, whether to prevent, discourage, or warn about short-term projections
- Note that a fire reported at 2200h will have a non-smooth burn probability map for Day 1, i.e., 2200h to midnight
How will this improve the project or tool?
- Short-term projections have “non-smooth” burn probability maps
- Removing the feature avoids the issue
- Keeping the feature may be okay if there is a warning
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