Pinehaven Christian Children's Ranch Montana State Code Violation Report
Pinehaven / Caughlin Ranch Fire July 2, 2012
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Transcript of Pinehaven / Caughlin Ranch Fire July 2, 2012
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Pinehaven/Caughlin Ranch FireJuly 2, 2012
Bryan RainwaterDavid ColucciJuly 2, 2012 1:30PM (20:30UTC)
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Objectives
• Observe the Pinehaven/Caughlin Ranch Fire beginning on July 2, 2012 at about 1PM local time.
• Analyze the University of Nevada AERONET data that intersects the smoke plume.
• Acquire and analyze MODIS and CALIPSO data.• Acquire dispersion characteristics from the
HYSPLIT model with the NAM12K meteorological data and verify accuracy using on site LIDAR and CIMEL readings.
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• July 2, 1:00PM– fire started from suspected arson
according to fire officials.• July 2, 1:30PM
– Fire crews arrived on site with under 100 acres burning
• July 2, 4:30PM– containment had been mostly achieved,
with an estimated 200 acres burned.• July 3, 9:15AM
– fire crews achieved 90 percent containment.
• July 3, 1:30PM– fire had been fully contained having
burned 206 acres.
Pinehaven/Caughlin Ranch Fire
July 2, 2012 1:22PM
*Photo Courtesy of Ben Sumlin
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July 2, 2012 1:46PM
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Satellite Imagery of the Fire
Terra Sensor
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Aqua Sensor
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Modis Terra Satellite ImageJuly 2, 2012 (11:10AM)
Modis Aqua Satellite ImageJuly 2, 2012 (2:30PM)
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MODIS Data Boundaries
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MODIS
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CIMEL Data (UNR Aeronet Station)
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Normalized Fine Mode Fraction
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July 2, 2012 at 1:00PM
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July 2, 2012 at 1:22PM
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July 2, 2012 at 1:46PM
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July 2, 2012 at 1:54PM
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July 2, 2012 at 1:58PM
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July 2, 2012 at 2:00PM
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July 2, 2012 at 2:02PM
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July 2, 2012 at 3:20PM
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July 2, 2012 at 3:28PM
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July 2, 2012 at 4:26PM
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CALIPSO LIDAROrbital Path
July 2, 2012July 3, 2012
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University of Nevada, RenoVaisala CL31 Ceilometer
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Smoke Plume Intersecting the UNR AERONET site
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Prescribed Burn Calculation Assumptions
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Back Trajectories from the UNR AERONET site
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Back Trajectories and Plume Overlay
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Satellite Remote Sensing Limitations (in sight of recent developments)
• Lack of necessary pixels, appropriate resolution, or swath size.
• Algorithm Errors that lead to problematic data.– Inability to continuously correct for surface and ocean albedo,
elevation gradients, ocean glint• Vertical resolution needs improvement on current sensors.
– Inability to identify vertical distribution of atmospheric components (unless intersected by CALIPSO)
• Several sensors are far past their predicted lifetime and working (but for how long?)
• Sensors are experiencing losses of data (OMI)• Sensors will fall out of orbit eventually though some
sooner than others (PARASOL)
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Future Improvements• Numerous scientific programs and teams are working on
independent algorithm corrections and model improvements.– Computer processing limitations are being overcome– Remote sensing understanding is constantly improving– Algorithms for pixel “smoothing” are being worked on– Help in understanding vertical resolution is being worked on
• Levels of data processing are constantly improving to allow for additional land, ocean, atmosphere, climate, etc. products.
• Correlating ground and satellite based sensors data• Incorporating local meteorological data• More sensors will be lunched for additional and improved
satellite data
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Future Improvements/Missions
Blue – ESA sensors Red – Japanese sensor Green – GeostationaryTaken from NASA ARSET Webinar Series Presentations
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Conclusions
• CIMEL level 1 data proved to be reliable to study the smoke plume passing through the column
• Limitations of Remote Sensing– Lack of CALIPSO data– Smear of AOD data across a large area via MODIS– Lack of reliable AOD pixels– Inability to recognize smoke on both CIMEL data and on MODIS
imagery– Lack of resolution for relatively small scale burn events (206 acre
fire)• HYSPLIT’s Dispersion Model passed over the University for
the time in which we physically observed smoke• The Smoke Verification Tool is very rough when compared
with the HYSPLIT Dispersion Model