Download - Collaborative Integration of Satellite and Surface Data for Characterization of Aerosol Events
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Collaborative Integration of Satellite and Surface Data for Characterization of Aerosol Events
E. M. RobinsonAdvisor, R. B. Husar
2010 M.S. ThesisSt. Louis, MO, Nov. 3, 2010
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Illustrate the use of multi-sensory dataTechnical Challenge: Characterization
• PM characterization requires many sensors, sampling methods and analysis tools
• Each sensor/method covers only a fraction of the 7-Dimensional PM data space.
– Spatial dimensions (X, Y, Z) – Temporal Dimensions (T)– Particle size (D)– Particle Composition ( C ) – Particle Shape (S)
• Most of the 7 Dim PM data space is extrapolated from sparse measured data
• Others sensors integrate over time, space, chemistry, size etc. .
Satellite-IntegralSatellites, have high spatial resolution but integrate over height H, size D, composition C, particle shape
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Kansas Agricultural Smoke, April 12, 2003
Fire Pixels PM25 Mass, FRM65 ug/m3 max
Organics35 ug/m3 max
Ag Fires
SeaWiFS, Refl SeaWiFS, AOT Col AOT Blue
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Hurdles
“The user cannot find the data;
If he can find it, cannot access it;
If he can access it, ;
he doesn't know how good they are;
if he finds them good, he can not merge them with other data”
The Users View of IT, NAS 1989
To overcome the first two hurdles need:
1. Service oriented architecture
2. Standards for finding and accessing the data
3. Open, collaborative space to coordinate work
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SOA ActionsActions: Register– Discover -Access
UserProvider
Broker
The data reuse is possible through the service oriented architecture of GEOSS.
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SOA ActionsActions: Register– Discover -Access
UserProvider
Broker
The data reuse is possible through the service oriented architecture of GEOSS.
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Preparation of Data and Metadata
MetadataDataData Protocol
WMS, WCS (netDCF CF) + conventions
UserProvider
GEOSSClearinghous
e
Access
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Preparation of Data and Metadata
Register Metadata
MetadataDataData Protocol
WMS, WCS (netDCF CF) + conventions
Metadata
ISO 19115 subset for Geospatial Data
UserProvider
GEOSSClearinghous
e
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Air Quality Metadata Record
Discover, Get Access Key
UserProvider
GEOSSClearinghouse
OGC CSW Queryable
Air QualitySpecific
ISO 19115CSW Profile
OGC CSW Returnable
MetadataDescription
Data Binding
Metadata for Finding and Accessing Data
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Exceptional Event Rule: An air quality exceedance that would not have occurred but for the presence
of a natural event.
Transported Pollution
Transported African, Asian Dust; Smoke from Mexican
fires & Mining dust, Ag. Emissions
Natural Events
Nat. Disasters.; High Wind Events; Wild land Fires;
Stratospheric Ozone; Prescribed Fires
Human Activities
Chemical Spills; Industrial Accidents; July 4th; Structural
Fires; Terrorist Attack
Satellite remote sensors provide key observations for Exceptional Events
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May 2007 Georgia FiresAn actual Exceptional Event Analysis for EPA
May 5, 2007
May 12, 2007
Observations Used:
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OMI NO2 Quantifies the NO2 Emission
Sweat Water fire in S. Georgia (May 2007)
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3. Evidence: Aerosol Composition
Sulfate Organics
Sulfate Organics
Measured
Modeled
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5. The Exceedance would not Occur, But For the Exceptional Event
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Social Media and Air Quality
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SOA ActionsActions: Register– Discover -Access
UserProvider
Broker
The data reuse is possible through the service oriented architecture of GEOSS.
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Social Media Listening for Air Quality
Air Twitter Aggregator
RSS Feeds
Air Twitter Filter
ESIPAQWG
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Air Twitter – Event Identification
August 2009, Los Angeles Fires
Normal Weekly Trend
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Air Quality EventSpacesEventSpaces are community workspaces on the ESIP wiki that are created to describe the Event
Science Data
Social Media
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Google Analytics Results: August LA Fires
580 Views
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Google Analytics Results: August LA Fires
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Future Work: GEOSS Suitable Infrastructure