What we have access to:
SFMS Layers
Weather Data
Fire Data: a) Geo BC, WFS and b) WF1 API
Lightning: Scrum Master requested access from DH July 19
See what’s possible with: Business Intelligence Dashboards
PO’s EMCR briefings:
A) Communication + visualisation needs
a. Needs automation: Fires per week vs historical percentile from last 20ys + Patterns
b. Analogue years (similar fire behaviour in the past)
c. Size of Fires vs Lighting
d. Currently using Jaspersoft (see recording 1)
e. Spatial + Fire Data combined + real time info + historical data + warnings
f. Control chart analogy: Rate of Change + Disparate Sources: Cumulative Daily Severity Rating vs Climate Normals
g. (nurses taking the pulse + ability to read past charts of pulse)
i. Initial Attack Failure
j. Area Burned
k. Early Warning system (going over 6-10 hectares - when? Area burned per day?)
l. ** Need PO's code + static data dump: Long Term Weather Forecast Predictions (Climate Analogues + Fire History Data) ***
B) Stats for fires (Wildfire Activity Slide) + Comparisons
C) Lighting Strikes vs Holdover Fires vs Strikes in a specific area vs # of strikes in a high HFI area of concern
Currently using WF1 Sparky App FOP
D) PSU Comms: WF updates: anomaly of Fire Indices
Build up index + Drought codes + Winds + any other parameters: Display on UI if these exceed historical normal (Thresholds)
Ex: HEADS UP notification: This index is on upward trend OR outside normals
E) CHAINES + Advisories
a. Combining multiple sources of info + WHY this is happening
i. Build up index
ii. High HFI
iii. Hot dry wind
iv. Haines index high …. So: this result is observed
b. Wind + Fires out of control + High Haines index
F) Need surface wind speed x min RH (vapour pressure deficit)
a. Lower atmosphere vs smoke columns
i. Wind = 4 klm @ 10 m BUT
ii. Wind = 70 klm @ 150 m
G) Rewrite SFMS (in C + open sourced from Canadian Fire Service)
dgboss
commented
10 months ago
Research Paper Idea:
MoreCast 2.0 Raw Model Data vs Bias Adjustments vs Fire Behaviour vs Weather Data as Observed from Stations
++++++++++++
PO proposals for an Innovation Sprint:
What we have access to: SFMS Layers Weather Data Fire Data: a) Geo BC, WFS and b) WF1 API Lightning: Scrum Master requested access from DH July 19
See what’s possible with: Business Intelligence Dashboards
PO’s EMCR briefings:
A) Communication + visualisation needs a. Needs automation: Fires per week vs historical percentile from last 20ys + Patterns b. Analogue years (similar fire behaviour in the past) c. Size of Fires vs Lighting
d. Currently using Jaspersoft (see recording 1) e. Spatial + Fire Data combined + real time info + historical data + warnings f. Control chart analogy: Rate of Change + Disparate Sources: Cumulative Daily Severity Rating vs Climate Normals g. (nurses taking the pulse + ability to read past charts of pulse) i. Initial Attack Failure j. Area Burned k. Early Warning system (going over 6-10 hectares - when? Area burned per day?) l. ** Need PO's code + static data dump: Long Term Weather Forecast Predictions (Climate Analogues + Fire History Data) ***
B) Stats for fires (Wildfire Activity Slide) + Comparisons
C) Lighting Strikes vs Holdover Fires vs Strikes in a specific area vs # of strikes in a high HFI area of concern Currently using WF1 Sparky App FOP
D) PSU Comms: WF updates: anomaly of Fire Indices
Build up index + Drought codes + Winds + any other parameters: Display on UI if these exceed historical normal (Thresholds) Ex: HEADS UP notification: This index is on upward trend OR outside normals
E) CHAINES + Advisories a. Combining multiple sources of info + WHY this is happening i. Build up index ii. High HFI iii. Hot dry wind iv. Haines index high …. So: this result is observed b. Wind + Fires out of control + High Haines index
F) Need surface wind speed x min RH (vapour pressure deficit) a. Lower atmosphere vs smoke columns i. Wind = 4 klm @ 10 m BUT ii. Wind = 70 klm @ 150 m
G) Rewrite SFMS (in C + open sourced from Canadian Fire Service)
H) Red Hat OpenShift Data Science: https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-data-science
I) Hackathon: ASA + Mapping PMTiles Solutions: PMT Tiles Visualizations + analysis + locations + attributes Fire points + underlying warning levels (Control chart idea): Advisory Level impacts
J) Exposing maps on Mobile/Cell phones?
Let’s step in TECH + see what’s possible
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Recording 1 - 18 minutes https://bcgov.sharepoint.com/:v:/r/teams/01324/Shared%20Documents/General/Recordings/BCWS%20-%20Agile%20PSU%20%E2%80%93%20Innovation-Meeting-Recording-2.mp4?csf=1&web=1&e=Mr4l3g
Recording 2 - 5 minutes https://bcgov.sharepoint.com/:v:/r/teams/01324/Shared%20Documents/General/Recordings/BCWS%20-%20Agile%20PSU%20%E2%80%93%20Innovation-Meeting-Recording-1.mp4?csf=1&web=1&e=k6PPLf