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)