2004-10-15 air-257: satellite detection of aerosols: satellite data and tools for the rpo fastnet...
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Air and Waste Management Association Professional Development Course
AIR-257: Satellite Detection of Aerosols:
Satellite data and tools for the RPO FASTNET project
Instructor:Rudolf Husar, Ph.D. Professor of Mechanical Engineering
Washington University, St. Louis, MOOctober 25, 2004, 9:00 a.m. - 12:00 p.m. Asheville, NC
Syllabus
9:00-9:30 Introduction to satellite aerosol detection and monitoring9:30-10:00 Satellite Types and their Usage10:00-10:30 Satellite detection of aerosol events: fires, dust storms,
haze
10:30-10:45 Break
10:45-11:00 Satellite data and tools for the RPO FASTNET project11:15-11:30 Satellite Data Use in AQ Management: Issues and Opportunities11:30-12:00 Class-defined problems, feedback, discussion, exam(?)
Please Visit http://datafed.net
Web-based data delivery: Analysts Console
MODIS Rapid Response
FASTNET Event Report: 040219TexMexDust
Texas-Mexico Dust EventFebruary 19, 2004
Contributed by the FASNET Community
Correspondence to R Poirot, R Husar
Satellites detect dust most storms in near real time
The MODIS sensor on AQUA and Terra provides 250m resolution images of the dust storm
Visual inspection reveals the dust sources at the beginning of dust streaks.
The NOAA AVHRR sensor highlights the dust by its IR sensors
In the TOMS satellite image, the dust signal is conspicuously absent – too close to the ground
Monte Carlo simulation of dust transport using surface winds (just a toy, 3D winds are essential!)
See animation Note, how sensitive the transport direction is to the source location (according to this toy)
VIEWS Fine Mass, Sulfate, OC, Dust, 02-07-01
OCOC
Mass SO4
Dust
SeaWiFS AOT – ASOS FBext, 02-07-01
July 2020 Quebec Smoke Event
Superposition of ASOS visibility data (NWS) and SeaWiFS reflectance data for July 7, 2002
–
• PM2.5 time series for New England sites. Note the high values at White Face Mtn.
• Micropulse Lidar data for July 6 and July 7, 2002 - intense smoke layer over D.C. at 2km altitude.
Pattern of Fires over N. AmericaThe number of ATSR satellite-observed fires
peaks in warm seasonFire onset and smoke amount is unpredictable
Fire Pixel Count:
Western US
North America
Near Real Time Public Satellite Data Delivery
NCore Integration
NOAA/NASA Satellite: Global/Continental transport
Other Networks: Deposition, Ecosystems
Intensive/diagnostic Field Programs
Longer Term Goal:
Integrated Observation-modeling Complex
Similar to Meteorological Models (FDDA)
Model Adjustments Through Obs.
All in Near Real Time
Full Model Dims (x, y, z, t, chemistry, size)