SlideShare une entreprise Scribd logo
1  sur  10
Concepts on Aerosol Characterization R.B. Husar Washington University in St. Louis Presented at EPA – OAQPS Seminar Research Triangle Park, NC, April 4, 2005
Regional Haze Rule: Natural Aerosol ,[object Object],[object Object],[object Object],[object Object],Natural haze  is due to natural windblown dust, biomass smoke and other natural processes  Man-made  haze is due industrial activities  AND man-perturbed smoke and dust emissions A fraction of the man-perturbed smoke and dust is assigned to natural by policy decisions
NAAMS:  National Ambient Air Monitoring Strategy  and NCore Applications
Satellite applications to Smoke/PM management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Decision Support Systems Standards Based Products Platforms, Sensors Data Distribution Handling Tasking Distribution Processing Exploitation NASA ESE Information Cycle Air Quality Assessment Compare to Goals Plan Reductions Track Progress Controls  (Actions) Monitoring (Sensing) Set Goals CAAA NAAQS AQ Management Loop
FASTNET and DataFed pursues several NAAMS recommendations: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FASTNET  Fast Aerosol Sensing Tools for Natural Event Tracking DataFed  Data Federation FASTNET is an open  communal facility to study non-industrial (e.g. dust and smoke) aerosol events , including detection, tracking and impact on PM and haze.  FASTNET output will be directly applicable, to  public health protection, Regional Haze rule, SIP and model development  as well as toward stimulating the scientific community.  The main asset of FASTNET is the  community of data analysts, modelers, managers  and others participating in the production of actionable knowledge from observations, models and human reasoning The FASTNET community will be supported by a networking infrastructure based on open Internet standards (web services) and a set of web-tools evolving under the federated data system,  DataFed . DataFed itself is under the umbrella of the interagency Earth Science Information Partners (ESIP) which includes NASA, NOAA and EPA (soon)
Scientific Challenge: Description of smoke ,[object Object],[object Object],[object Object],Particulate matter, incl. smoke  is complex because of its multi-dimensionality It takes at leas 8 independent dimensions to describe the PM concentration pattern Dimension  Abbr. Data Sources Spatial dimensions X, Y Satellites, dense networks Height Z Lidar, soundings Time T Continuous monitoring Particle size D Size-segregated sampling Particle Composition C Speciated analysis Particle Shape/Form F Microscopy Ext/Internal Mixture M Microscopy
Technical Challenge: Characterization ,[object Object],[object Object],[object Object],[object Object],Satellite-Integral
Temporal Scales of Aerosol Events ,[object Object],[object Object],[object Object],[object Object],[object Object]
Status:  CATT & FASTNET have been Eaten by DataFed.Net

Contenu connexe

Tendances

Eco-informatics: Data services for bringing together and publishing the full ...
Eco-informatics: Data services for bringing together and publishing the full ...Eco-informatics: Data services for bringing together and publishing the full ...
Eco-informatics: Data services for bringing together and publishing the full ...TERN Australia
 
Nuclear emergency response and Big Data technologies
Nuclear emergency response and Big Data technologiesNuclear emergency response and Big Data technologies
Nuclear emergency response and Big Data technologiesBigData_Europe
 
2004-09-12 Data and Tools for Air Quality Management:
2004-09-12 Data and Tools for Air Quality Management:2004-09-12 Data and Tools for Air Quality Management:
2004-09-12 Data and Tools for Air Quality Management:Rudolf Husar
 
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...swenney
 
Air pollution monitoring system using mobile gprs sensors array ppt
Air pollution monitoring system using mobile gprs sensors array pptAir pollution monitoring system using mobile gprs sensors array ppt
Air pollution monitoring system using mobile gprs sensors array pptSaurabh Giratkar
 
What does the future hold for low cost air pollution sensors? - Dr Pete Edwards
What does the future hold for low cost air pollution sensors? - Dr Pete EdwardsWhat does the future hold for low cost air pollution sensors? - Dr Pete Edwards
What does the future hold for low cost air pollution sensors? - Dr Pete EdwardsIES / IAQM
 
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...Rudolf Husar
 
Presentation adv gis 08 01-2014
Presentation adv gis 08 01-2014Presentation adv gis 08 01-2014
Presentation adv gis 08 01-2014Safdar Wattu
 
Hong Liu CanWEA presentation
Hong Liu CanWEA presentationHong Liu CanWEA presentation
Hong Liu CanWEA presentationmtingle
 
AusPlots field data collection with AusScribe
AusPlots field data collection with AusScribeAusPlots field data collection with AusScribe
AusPlots field data collection with AusScribeTERN Australia
 
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET- Recognition of Future Air Quality Index using Artificial Neural NetworkIRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET- Recognition of Future Air Quality Index using Artificial Neural NetworkIRJET Journal
 
Smr Fastnet Presentation Take2 Pubs
Smr Fastnet Presentation Take2 PubsSmr Fastnet Presentation Take2 Pubs
Smr Fastnet Presentation Take2 PubsRudolf Husar
 
AusCover Earth Observation Services and Data Cubes
AusCover Earth Observation Services and Data CubesAusCover Earth Observation Services and Data Cubes
AusCover Earth Observation Services and Data CubesTERN Australia
 
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...IJDKP
 
Radiation Monitoring Data from Fukushima Area 04/18/2011
Radiation Monitoring Data from Fukushima Area 04/18/2011Radiation Monitoring Data from Fukushima Area 04/18/2011
Radiation Monitoring Data from Fukushima Area 04/18/2011US Department of Energy
 
DRI Energy Related Projects
DRI Energy Related ProjectsDRI Energy Related Projects
DRI Energy Related ProjectsDRIscience
 
AURIN - Overview
AURIN - OverviewAURIN - Overview
AURIN - OverviewARDC
 
Significance of long-term environmental and physiological records for underst...
Significance of long-term environmental and physiological records for underst...Significance of long-term environmental and physiological records for underst...
Significance of long-term environmental and physiological records for underst...Integrated Carbon Observation System (ICOS)
 
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5Gianpaolo Coro
 

Tendances (20)

Eco-informatics: Data services for bringing together and publishing the full ...
Eco-informatics: Data services for bringing together and publishing the full ...Eco-informatics: Data services for bringing together and publishing the full ...
Eco-informatics: Data services for bringing together and publishing the full ...
 
Nuclear emergency response and Big Data technologies
Nuclear emergency response and Big Data technologiesNuclear emergency response and Big Data technologies
Nuclear emergency response and Big Data technologies
 
2004-09-12 Data and Tools for Air Quality Management:
2004-09-12 Data and Tools for Air Quality Management:2004-09-12 Data and Tools for Air Quality Management:
2004-09-12 Data and Tools for Air Quality Management:
 
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
 
Air pollution monitoring system using mobile gprs sensors array ppt
Air pollution monitoring system using mobile gprs sensors array pptAir pollution monitoring system using mobile gprs sensors array ppt
Air pollution monitoring system using mobile gprs sensors array ppt
 
What does the future hold for low cost air pollution sensors? - Dr Pete Edwards
What does the future hold for low cost air pollution sensors? - Dr Pete EdwardsWhat does the future hold for low cost air pollution sensors? - Dr Pete Edwards
What does the future hold for low cost air pollution sensors? - Dr Pete Edwards
 
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...
 
Presentation adv gis 08 01-2014
Presentation adv gis 08 01-2014Presentation adv gis 08 01-2014
Presentation adv gis 08 01-2014
 
Hong Liu CanWEA presentation
Hong Liu CanWEA presentationHong Liu CanWEA presentation
Hong Liu CanWEA presentation
 
AusPlots field data collection with AusScribe
AusPlots field data collection with AusScribeAusPlots field data collection with AusScribe
AusPlots field data collection with AusScribe
 
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET- Recognition of Future Air Quality Index using Artificial Neural NetworkIRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
 
AusCover
AusCoverAusCover
AusCover
 
Smr Fastnet Presentation Take2 Pubs
Smr Fastnet Presentation Take2 PubsSmr Fastnet Presentation Take2 Pubs
Smr Fastnet Presentation Take2 Pubs
 
AusCover Earth Observation Services and Data Cubes
AusCover Earth Observation Services and Data CubesAusCover Earth Observation Services and Data Cubes
AusCover Earth Observation Services and Data Cubes
 
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
 
Radiation Monitoring Data from Fukushima Area 04/18/2011
Radiation Monitoring Data from Fukushima Area 04/18/2011Radiation Monitoring Data from Fukushima Area 04/18/2011
Radiation Monitoring Data from Fukushima Area 04/18/2011
 
DRI Energy Related Projects
DRI Energy Related ProjectsDRI Energy Related Projects
DRI Energy Related Projects
 
AURIN - Overview
AURIN - OverviewAURIN - Overview
AURIN - Overview
 
Significance of long-term environmental and physiological records for underst...
Significance of long-term environmental and physiological records for underst...Significance of long-term environmental and physiological records for underst...
Significance of long-term environmental and physiological records for underst...
 
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 5
 

En vedette

Food Security Philipgi
Food Security PhilipgiFood Security Philipgi
Food Security PhilipgiDYUTI
 
Enabling Grants Reporting with XBRL
Enabling Grants Reporting with XBRLEnabling Grants Reporting with XBRL
Enabling Grants Reporting with XBRLjeffhansen
 
2006 Partnership And Challenges Public Policy Forum Toronto
2006 Partnership And Challenges Public Policy Forum Toronto2006 Partnership And Challenges Public Policy Forum Toronto
2006 Partnership And Challenges Public Policy Forum TorontoNikhat Rasheed
 
Indie album covers
Indie album coversIndie album covers
Indie album coverstahir369
 
CASA East Coast Tour Presentation
CASA East Coast Tour PresentationCASA East Coast Tour Presentation
CASA East Coast Tour Presentationcasaacae
 

En vedette (8)

Food Security Philipgi
Food Security PhilipgiFood Security Philipgi
Food Security Philipgi
 
Enabling Grants Reporting with XBRL
Enabling Grants Reporting with XBRLEnabling Grants Reporting with XBRL
Enabling Grants Reporting with XBRL
 
Top 10
Top 10Top 10
Top 10
 
2006 Partnership And Challenges Public Policy Forum Toronto
2006 Partnership And Challenges Public Policy Forum Toronto2006 Partnership And Challenges Public Policy Forum Toronto
2006 Partnership And Challenges Public Policy Forum Toronto
 
Indie album covers
Indie album coversIndie album covers
Indie album covers
 
Vendo Dpto Surco
Vendo Dpto SurcoVendo Dpto Surco
Vendo Dpto Surco
 
CASA East Coast Tour Presentation
CASA East Coast Tour PresentationCASA East Coast Tour Presentation
CASA East Coast Tour Presentation
 
Youthinnovators
YouthinnovatorsYouthinnovators
Youthinnovators
 

Similaire à 050405 Epa Characterization

2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNETRudolf Husar
 
2008-02-11: EPA DataFed Presentation
2008-02-11: EPA DataFed Presentation2008-02-11: EPA DataFed Presentation
2008-02-11: EPA DataFed PresentationRudolf Husar
 
Smoke Emission Draft
Smoke Emission DraftSmoke Emission Draft
Smoke Emission DraftRudolf Husar
 
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...Rudolf Husar
 
Citizen Sensing Efforts November 2011
Citizen Sensing Efforts   November 2011Citizen Sensing Efforts   November 2011
Citizen Sensing Efforts November 2011timsdye
 
20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...
20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...
20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...Rudolf Husar
 
Final Synopsis -Bharathi(21-4-23).doc
Final Synopsis -Bharathi(21-4-23).docFinal Synopsis -Bharathi(21-4-23).doc
Final Synopsis -Bharathi(21-4-23).docmalli36
 
2004-09-12 Data and Tools for Web-Based Monitoring and Analysis
2004-09-12 Data and Tools for Web-Based Monitoring and Analysis2004-09-12 Data and Tools for Web-Based Monitoring and Analysis
2004-09-12 Data and Tools for Web-Based Monitoring and AnalysisRudolf Husar
 
A european spatial data infrastructure under construction context, scope and ...
A european spatial data infrastructure under construction context, scope and ...A european spatial data infrastructure under construction context, scope and ...
A european spatial data infrastructure under construction context, scope and ...FAO
 
GI2013 ppt paetzug+rauschert_project_itham
GI2013 ppt paetzug+rauschert_project_ithamGI2013 ppt paetzug+rauschert_project_itham
GI2013 ppt paetzug+rauschert_project_ithamIGN Vorstand
 
Vanda Lima, JRC Ispra
Vanda Lima, JRC IspraVanda Lima, JRC Ispra
Vanda Lima, JRC Ispraplan4all
 
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...IJDKP
 
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...IJDKP
 
A Deep Learning Based Air Quality Prediction
A Deep Learning Based Air Quality PredictionA Deep Learning Based Air Quality Prediction
A Deep Learning Based Air Quality PredictionDereck Downing
 
130205 epa exc_event_seminar
130205 epa exc_event_seminar130205 epa exc_event_seminar
130205 epa exc_event_seminarRudolf Husar
 
130205 epa ee_presentation_subm
130205 epa ee_presentation_subm130205 epa ee_presentation_subm
130205 epa ee_presentation_submRudolf Husar
 
Aerial Vehicles, Machine Learning, Remote Sensing, and Optimized System Design
Aerial Vehicles, Machine Learning, Remote Sensing, and Optimized System DesignAerial Vehicles, Machine Learning, Remote Sensing, and Optimized System Design
Aerial Vehicles, Machine Learning, Remote Sensing, and Optimized System DesignDavid Lary
 

Similaire à 050405 Epa Characterization (20)

2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
 
2008-02-11: EPA DataFed Presentation
2008-02-11: EPA DataFed Presentation2008-02-11: EPA DataFed Presentation
2008-02-11: EPA DataFed Presentation
 
Smoke Emission Draft
Smoke Emission DraftSmoke Emission Draft
Smoke Emission Draft
 
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
 
Fastnet Awma Em
Fastnet Awma EmFastnet Awma Em
Fastnet Awma Em
 
Citizen Sensing Efforts November 2011
Citizen Sensing Efforts   November 2011Citizen Sensing Efforts   November 2011
Citizen Sensing Efforts November 2011
 
20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...
20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...
20051031 Biomass Smoke Emissions and Transport: Community-based Satellite and...
 
Final Synopsis -Bharathi(21-4-23).doc
Final Synopsis -Bharathi(21-4-23).docFinal Synopsis -Bharathi(21-4-23).doc
Final Synopsis -Bharathi(21-4-23).doc
 
2004-09-12 Data and Tools for Web-Based Monitoring and Analysis
2004-09-12 Data and Tools for Web-Based Monitoring and Analysis2004-09-12 Data and Tools for Web-Based Monitoring and Analysis
2004-09-12 Data and Tools for Web-Based Monitoring and Analysis
 
A european spatial data infrastructure under construction context, scope and ...
A european spatial data infrastructure under construction context, scope and ...A european spatial data infrastructure under construction context, scope and ...
A european spatial data infrastructure under construction context, scope and ...
 
GI2013 ppt paetzug+rauschert_project_itham
GI2013 ppt paetzug+rauschert_project_ithamGI2013 ppt paetzug+rauschert_project_itham
GI2013 ppt paetzug+rauschert_project_itham
 
Vanda Lima, JRC Ispra
Vanda Lima, JRC IspraVanda Lima, JRC Ispra
Vanda Lima, JRC Ispra
 
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
 
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
ONLINE SCALABLE SVM ENSEMBLE LEARNING METHOD (OSSELM) FOR SPATIO-TEMPORAL AIR...
 
A Deep Learning Based Air Quality Prediction
A Deep Learning Based Air Quality PredictionA Deep Learning Based Air Quality Prediction
A Deep Learning Based Air Quality Prediction
 
ams2009scm-01-Carbone
ams2009scm-01-Carboneams2009scm-01-Carbone
ams2009scm-01-Carbone
 
130205 epa exc_event_seminar
130205 epa exc_event_seminar130205 epa exc_event_seminar
130205 epa exc_event_seminar
 
Term paper.pptx
Term paper.pptxTerm paper.pptx
Term paper.pptx
 
130205 epa ee_presentation_subm
130205 epa ee_presentation_subm130205 epa ee_presentation_subm
130205 epa ee_presentation_subm
 
Aerial Vehicles, Machine Learning, Remote Sensing, and Optimized System Design
Aerial Vehicles, Machine Learning, Remote Sensing, and Optimized System DesignAerial Vehicles, Machine Learning, Remote Sensing, and Optimized System Design
Aerial Vehicles, Machine Learning, Remote Sensing, and Optimized System Design
 

Plus de Rudolf Husar

100528 satellite obs_china_husar
100528 satellite obs_china_husar100528 satellite obs_china_husar
100528 satellite obs_china_husarRudolf Husar
 
2013-04-30 EE DSS Approach and Demo
2013-04-30 EE DSS Approach and Demo2013-04-30 EE DSS Approach and Demo
2013-04-30 EE DSS Approach and DemoRudolf Husar
 
Exceptional Event Decision Support System Description
Exceptional Event Decision Support System DescriptionExceptional Event Decision Support System Description
Exceptional Event Decision Support System DescriptionRudolf Husar
 
111018 geo sif_aq_interop
111018 geo sif_aq_interop111018 geo sif_aq_interop
111018 geo sif_aq_interopRudolf Husar
 
110823 solta11 intro
110823 solta11 intro110823 solta11 intro
110823 solta11 introRudolf Husar
 
110823 data fed_solta11
110823 data fed_solta11110823 data fed_solta11
110823 data fed_solta11Rudolf Husar
 
110510 aq co_p_network
110510 aq co_p_network110510 aq co_p_network
110510 aq co_p_networkRudolf Husar
 
110509 aq co_p_solta
110509 aq co_p_solta110509 aq co_p_solta
110509 aq co_p_soltaRudolf Husar
 
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_viewsRudolf Husar
 
110410 aq user_req_methodology_sydney_subm
110410 aq user_req_methodology_sydney_subm110410 aq user_req_methodology_sydney_subm
110410 aq user_req_methodology_sydney_submRudolf Husar
 
110408 aq co_p_uic_sydney_husar
110408 aq co_p_uic_sydney_husar110408 aq co_p_uic_sydney_husar
110408 aq co_p_uic_sydney_husarRudolf Husar
 
110105 htap pilot_aqco_p_esip_dc
110105 htap pilot_aqco_p_esip_dc110105 htap pilot_aqco_p_esip_dc
110105 htap pilot_aqco_p_esip_dcRudolf Husar
 
100615 htap network_brussels
100615 htap network_brussels100615 htap network_brussels
100615 htap network_brusselsRudolf Husar
 
121117 eedss briefing_nasa_epa
121117 eedss briefing_nasa_epa121117 eedss briefing_nasa_epa
121117 eedss briefing_nasa_epaRudolf Husar
 
120910 nasa satellite_outline
120910 nasa satellite_outline120910 nasa satellite_outline
120910 nasa satellite_outlineRudolf Husar
 
120612 geia closure_ofeo_ms_soa_subm
120612 geia closure_ofeo_ms_soa_subm120612 geia closure_ofeo_ms_soa_subm
120612 geia closure_ofeo_ms_soa_submRudolf Husar
 
110414 extreme dustsmokesulfate
110414 extreme dustsmokesulfate110414 extreme dustsmokesulfate
110414 extreme dustsmokesulfateRudolf Husar
 
Aq Gci Infrastructure
Aq Gci InfrastructureAq Gci Infrastructure
Aq Gci InfrastructureRudolf Husar
 
AQ GCI Infrastructure
AQ GCI InfrastructureAQ GCI Infrastructure
AQ GCI InfrastructureRudolf Husar
 
2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNETRudolf Husar
 

Plus de Rudolf Husar (20)

100528 satellite obs_china_husar
100528 satellite obs_china_husar100528 satellite obs_china_husar
100528 satellite obs_china_husar
 
2013-04-30 EE DSS Approach and Demo
2013-04-30 EE DSS Approach and Demo2013-04-30 EE DSS Approach and Demo
2013-04-30 EE DSS Approach and Demo
 
Exceptional Event Decision Support System Description
Exceptional Event Decision Support System DescriptionExceptional Event Decision Support System Description
Exceptional Event Decision Support System Description
 
111018 geo sif_aq_interop
111018 geo sif_aq_interop111018 geo sif_aq_interop
111018 geo sif_aq_interop
 
110823 solta11 intro
110823 solta11 intro110823 solta11 intro
110823 solta11 intro
 
110823 data fed_solta11
110823 data fed_solta11110823 data fed_solta11
110823 data fed_solta11
 
110510 aq co_p_network
110510 aq co_p_network110510 aq co_p_network
110510 aq co_p_network
 
110509 aq co_p_solta
110509 aq co_p_solta110509 aq co_p_solta
110509 aq co_p_solta
 
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
 
110410 aq user_req_methodology_sydney_subm
110410 aq user_req_methodology_sydney_subm110410 aq user_req_methodology_sydney_subm
110410 aq user_req_methodology_sydney_subm
 
110408 aq co_p_uic_sydney_husar
110408 aq co_p_uic_sydney_husar110408 aq co_p_uic_sydney_husar
110408 aq co_p_uic_sydney_husar
 
110105 htap pilot_aqco_p_esip_dc
110105 htap pilot_aqco_p_esip_dc110105 htap pilot_aqco_p_esip_dc
110105 htap pilot_aqco_p_esip_dc
 
100615 htap network_brussels
100615 htap network_brussels100615 htap network_brussels
100615 htap network_brussels
 
121117 eedss briefing_nasa_epa
121117 eedss briefing_nasa_epa121117 eedss briefing_nasa_epa
121117 eedss briefing_nasa_epa
 
120910 nasa satellite_outline
120910 nasa satellite_outline120910 nasa satellite_outline
120910 nasa satellite_outline
 
120612 geia closure_ofeo_ms_soa_subm
120612 geia closure_ofeo_ms_soa_subm120612 geia closure_ofeo_ms_soa_subm
120612 geia closure_ofeo_ms_soa_subm
 
110414 extreme dustsmokesulfate
110414 extreme dustsmokesulfate110414 extreme dustsmokesulfate
110414 extreme dustsmokesulfate
 
Aq Gci Infrastructure
Aq Gci InfrastructureAq Gci Infrastructure
Aq Gci Infrastructure
 
AQ GCI Infrastructure
AQ GCI InfrastructureAQ GCI Infrastructure
AQ GCI Infrastructure
 
2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
 

Dernier

DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 

Dernier (20)

DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 

050405 Epa Characterization

  • 1. Concepts on Aerosol Characterization R.B. Husar Washington University in St. Louis Presented at EPA – OAQPS Seminar Research Triangle Park, NC, April 4, 2005
  • 2.
  • 3. NAAMS: National Ambient Air Monitoring Strategy and NCore Applications
  • 4.
  • 5.
  • 6. FASTNET Fast Aerosol Sensing Tools for Natural Event Tracking DataFed Data Federation FASTNET is an open communal facility to study non-industrial (e.g. dust and smoke) aerosol events , including detection, tracking and impact on PM and haze. FASTNET output will be directly applicable, to public health protection, Regional Haze rule, SIP and model development as well as toward stimulating the scientific community. The main asset of FASTNET is the community of data analysts, modelers, managers and others participating in the production of actionable knowledge from observations, models and human reasoning The FASTNET community will be supported by a networking infrastructure based on open Internet standards (web services) and a set of web-tools evolving under the federated data system, DataFed . DataFed itself is under the umbrella of the interagency Earth Science Information Partners (ESIP) which includes NASA, NOAA and EPA (soon)
  • 7.
  • 8.
  • 9.
  • 10. Status: CATT & FASTNET have been Eaten by DataFed.Net