bcgov / bcgov/wps

Spike: Morecast - Investigate options for bias corrected precip

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4Refinement
Dominant language
Python
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21h 25m
Merged PRs (30d)
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Description

EC raised a question surrounding bias corrected precip values. They asked if we can set the bias corrrected value to 0 when the model prediction is zero. There was some discussion during sprint review around this topic:
- one suggestion to get rid of bias adjusted precip
- another from MM saying we should keep it
- an option to always set bias adjusted precip to 0 when model prediction is 0
- the idea of separate handling during dry/wet periods

- one more comment from EC

"I agree the bias should be set to zero when the modelled precip = 0. I would also suggest that forecast precip < 0. 5 mm also default to zero bias as well. The threshold precip value for FFMC is 0.5 mm. Therefore anything less then 0.5 mm has no impact on fire behaviour. We would need consensus between forecasters to a"gree to this adjustment.

Contributor guide

Open the contributing guide

Research direction

No files, tests, or entry points are named. Start by reviewing the listed alternatives and the unresolved forecaster-consensus question; done means selecting and documenting an agreed rule for bias-corrected precipitation, including the proposed 0.5 mm threshold.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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