Air and Waste Management Association Professional Development Course AIR-257: Satellite Detection of Aerosols:   Satellite...
Syllabus <ul><ul><li>9:00-9:30  Introduction to satellite aerosol detection and monitoring </li></ul></ul><ul><ul><li>9:30...
Please Visit  http://datafed.net
Web-based data delivery: Analysts Console
 
 
MODIS Rapid Response FASTNET Event Report: 040219TexMexDust Texas-Mexico Dust Event February 19, 2004 Contributed by the F...
Satellites detect dust most storms in near real time  The MODIS sensor on AQUA and Terra provides  250m resolution image s...
Monte Carlo simulation of dust transport using surface winds  (just a toy, 3D winds are essential!) <ul><li>See animation ...
 
VIEWS Fine Mass, Sulfate, OC, Dust, 02-07-01 <ul><li>OC </li></ul>OC Mass SO4 Dust
SeaWiFS AOT – ASOS FBext, 02-07-01
July 2020 Quebec Smoke Event  <ul><li>Superposition of ASOS visibility data (NWS) and SeaWiFS reflectance data for July 7,...
Pattern of Fires over N. America <ul><li>The number of ATSR satellite-observed fires peaks in warm season </li></ul><ul><l...
Near Real Time Public Satellite Data Delivery
<ul><li>NCore  Integration </li></ul><ul><ul><li>NOAA/NASA Satellite: Global/Continental transport </li></ul></ul><ul><ul>...
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2004-10-15 AIR-257: Satellite Detection of Aerosols: Satellite data and tools for the RPO FASTNET project

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2004-10-15 AIR-257: Satellite Detection of Aerosols: Satellite data and tools for the RPO FASTNET project

  1. 1. 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, MO October 25, 2004, 9:00 a.m. - 12:00 p.m. Asheville, NC
  2. 2. Syllabus <ul><ul><li>9:00-9:30 Introduction to satellite aerosol detection and monitoring </li></ul></ul><ul><ul><li>9:30-10:00 Satellite Types and their Usage </li></ul></ul><ul><ul><li>10:00-10:30 Satellite detection of aerosol events: fires, dust storms, haze </li></ul></ul><ul><ul><li>10:30-10:45 Break </li></ul></ul><ul><ul><li>10:45-11:00 Satellite data and tools for the RPO FASTNET project </li></ul></ul><ul><ul><li>11:15-11:30 Satellite Data Use in AQ Management: Issues and Opportunities </li></ul></ul><ul><ul><li>11:30-12:00 Class-defined problems, feedback, discussion, exam(?) </li></ul></ul>
  3. 3. Please Visit http://datafed.net
  4. 4. Web-based data delivery: Analysts Console
  5. 7. MODIS Rapid Response FASTNET Event Report: 040219TexMexDust Texas-Mexico Dust Event February 19, 2004 Contributed by the FASNET Community Correspondence to R Poirot , R Husar
  6. 8. Satellites detect dust most storms in near real time The MODIS sensor on AQUA and Terra provides 250m resolution image s 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
  7. 9. Monte Carlo simulation of dust transport using surface winds (just a toy, 3D winds are essential!) <ul><li>See animation Note, how sensitive the transport direction is to the source location (according to this toy) </li></ul>
  8. 11. VIEWS Fine Mass, Sulfate, OC, Dust, 02-07-01 <ul><li>OC </li></ul>OC Mass SO4 Dust
  9. 12. SeaWiFS AOT – ASOS FBext, 02-07-01
  10. 13. July 2020 Quebec Smoke Event <ul><li>Superposition of ASOS visibility data (NWS) and SeaWiFS reflectance data for July 7, 2002 </li></ul>– <ul><li>PM2.5 time series for New England sites. Note the high values at White Face Mtn. </li></ul><ul><li>Micropulse Lidar data for July 6 and July 7, 2002 - intense smoke layer over D.C. at 2km altitude. </li></ul>
  11. 14. Pattern of Fires over N. America <ul><li>The number of ATSR satellite-observed fires peaks in warm season </li></ul><ul><li>Fire onset and smoke amount is unpredictable </li></ul>Fire Pixel Count: Western US North America
  12. 15. Near Real Time Public Satellite Data Delivery
  13. 16. <ul><li>NCore Integration </li></ul><ul><ul><li>NOAA/NASA Satellite: Global/Continental transport </li></ul></ul><ul><ul><li>Other Networks: Deposition, Ecosystems </li></ul></ul><ul><ul><li>Intensive/diagnostic Field Programs </li></ul></ul><ul><li>Longer Term Goal: </li></ul><ul><ul><li>Integrated Observation-modeling Complex </li></ul></ul><ul><ul><li>Similar to Meteorological Models (FDDA) </li></ul></ul><ul><ul><li>Model Adjustments Through Obs. </li></ul></ul><ul><ul><li>All in Near Real Time </li></ul></ul><ul><ul><li>Full Model Dims (x, y, z, t, chemistry, size) </li></ul></ul>

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