Air and Waste Management Association Professional Development Course AIR-257: Satellite Detection of Aerosols Issues and Opportunities 010020406080 Fraction.

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Presentation transcript:

Air and Waste Management Association Professional Development Course AIR-257: Satellite Detection of Aerosols Issues and Opportunities Fraction of Days Retrieved

Syllabus 9:00-9:30 Introduction to satellite aerosol detection and monitoring 9:30-10:00 Satellite Types and their Usage 10:00-10:30 Satellite detection of aerosol events: fires, dust storms, haze 10:30-10:45Break 10:45-11:00 Satellite data and tools for the RPO FASTNET project 11:15-11:30 Satellite Data Use in AQ Management: Issues and Opportunities 11:30-12:00 Class-defined problems, feedback, discussion, exam(?)

Scientific Challenge: Description of PM Gaseous concentration: g (X, Y, Z, T) Aerosol concentration: a (X, Y, Z, T, D, C, F, M) The ‘aerosol dimensions’ size D, composition C, shape F, and mixing M determine the impact on health, and welfare. DimensionAbbr. Data Sources Spatial dimensionsX, YSatellites, dense networks HeightZLidar, soundings TimeTContinuous monitoring Particle sizeDSize-segregated sampling Particle CompositionCSpeciated analysis Particle Shape/FormFMicroscopy Ext/Internal MixtureMMicroscopy Particulate matter is complex because of its multi-dimensionality It takes at leas 8 independent dimensions to describe the PM concentration pattern

Satellite Data Issue: Bright Surface (Cloud, Snow, Desert) Aerosol data are not retrievable over bright surfaces Thus half or more of the data are unavailable (some could be the most significant The data loss from clouds is sporadic, unpredictable

SpringSummer AutumnWinter % Fraction of aerosol retrievals – MODIS 2001 (March - May 2001) (June - August 2001) (September - November 2001) (December January 2001) Kaufman, % (winter)-70%(summer)

Vertical Distribution Aerosol Windblown Dust (crustal elements) Biomass Smoke (organics, H 2 0 ) Sea H 2 0 salt (NaCl. H 2 0) Stratospheric (Volcanic) (H2SO4) Biogenic (Non-sea salt sulfate, org) Urban-Industrial Haze (SO4, org. H 2 0) Dust, smoke, volcanic aerosol and industrial haze originate from land The global aerosol concentration is highest over land and near the continents over the oceans (coastal regions) Sea salt is significant over some of the windy oceanic regions and biogenic sulfate and organic aerosols also occur …

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, intense smoke layer over D.C. at 2km altitude.

Remote sensing of Aerosol Open questions: - Where does aerosol begin and cloud ends? - Does aerosol in cloud free area represent the aerosol that interacts with clouds? - How to handle the spatial and temporal variability of aerosol properties? Haze layer Clean atmosphere Y. Kaufman, 2002

Aerosol Remote Sensing of Aerosol

Retrieved Optical Depth

Information ‘Refinery’ Value Chain (Taylor, 1975) Informing Knowledge ActionProductive Knowledge InformationData Organizing Grouping Classifying Formatting Displaying Analyzing Separating Evaluating Interpreting Synthesizing Judging Options Quality Advantages Disadvantages Deciding Matching goals, Compromising Bargaining Deciding e.g. CIRA VIEWS e.g. Langley IDEA RAW System e.g. WG Summary Rpt e.g. RPO Manager

Future Observation and Information Systems

Question to Class Participants: (Exam!  ) How do YOU see the incorporation of satellite data into your activities? –Describe context: (what kind of AQ-related activity) –What problem could use satellite data? Specific satellite? Region of interest? Data ‘products? Delivery (frequency, latency, –What tools you whish you had for satellites? Assess and viewing/prowsing? Processing? –Add and answer your own question (The quality of your question will determine your final grade)