SlideShare ist ein Scribd-Unternehmen logo
1 von 39
MANE-VU Status Report on CATT and FASTNET  R. Poirot, VT DEC, 9/30/04 CATT:     Combined Aerosol Trajectory Tools FASTNET:  Fast Aerosol Sensing Tools    for Natural Event Tracking Both are Inter-RPO Projects, Conducted by CAPITA (R. Husar),  Managed for MANE-VU by:  MARAMA (Serpil Kayin, CATT) & NESCAUM (Gary Kleiman, FASTNET)
Status:  CATT & FASTNET have been Eaten by DataFed.Net
Within DATAFED.NET,  CATT & FASTNET   are 2 of many  “ Projects”  which Share Many Common “ Datasets”  which can be Viewed, Compared, Archived, Exported, Analyzed & Interpreted, using a variety of Tools &  Web-Based  “ Applications”
Data Catalog(s)  Provide Access to Many:  Fast  (rapidly available),  Current  (near-real-time, recently archived & continuing) and  Slow  (historical data Like IMPROVE Aerosol & ATAD trajectories)
Data Catalogs: Aerosol, Fire, Maps, Meteorology, Emissions, Images, Events
Data Viewer: Open & View Any File in Catalog(s). Many Files Include Time Series, Linked to Map – Point & Click. Zoom Map or Time series, Change Size, Symbols, Variables, Add Layers, Export Data – Copy Paste.
Data Files Accessed & Archived Specifically for FASTNET.  Note Varying Start dates (1988-2004), with Most Continuing. VIEWS_CHEM (IMPROVE Aerosol) and ATAD Trajectories (NPS) are currently used in CATT Applications
Start with Kitty:   http:// webapps . datafed .net/ dvoy _services/ datafed . aspx ?view=Kitty Kitty DataFed .net  Large Collection of Projects, Data, Tools. Where’s CATT “Start”?
Change Species or Site Filtering & Data Export Change  Sites by  Point & Click Kitty Acadia SO4 > 15 ug/m3
1.  Start with Kitty to Explore Any Combinations of IMPROVE & ATAD Traj. Data (any/all sites & years). 2.  Export CSV file of Selected Data & Copy/Paste into CSV Table Editor and Save for Subsequent Analysis.
1. Change Traj Sort. 2. Plot in Kitty 2. Export file as CSV data. 3. Copy/Paste into File Editor,Save. 4. Open YourFile in TrajAggGrid… Save(d) as: ALLpost99OCge10.csv
Select All Sites and Dates after 1/1/99 if : Organic Carbon >= 10 ug/m3. Fires in the West & Southeast (but not much in MANE-VU) Save CSV file & open in Trajectory Aggregator/Gridder,  Weight Traj. by OC Concentration (or not), Normalize (or not) & Plot.
Na >= 1.5 ug/m3 Sea Salt Comes from the Sea,  as She Should. BRIG & ACAD Battelle PMF/Unmix modeling indicated a Sea Salt source at 6 MANE-VU sites, Increasing over time.  Why? Is West Coast Sea Salt Increasing?
Fine Soil >7.5, post-1999,  All Sites & All Months Fine Soil > 7.5, All Years,  All Sites, July-Only Western & Asian Dust (Primarily Spring) Eastern Sahara Dust (Primarily Summer)
All US Sites, Nitrate >= 7.5 ug/m3 Western US, Nitrate >= 7.5 ug/m3 Eastern US, Nitrate >= 7.5 ug/m3 Eastern US (minus DC),  Nitrate >= 7.5 ug/m3 South-Central California is large Source of High NO3 in West Eastern NO3 from both Eastern Agricultural & Urban areas
Arsenic Nickel Nickel Selenium Nickel
SO4 > 15 ug/m3
If SO4 > 15 for entire IMPROVE network and entire period of record (25 sites). Top 10% of  “Secondary Sulfate Source” from Battelle PMF at ACAD, BRIG, GRSM, LYBR, MACA, SHEN & WASH  (7 sites)
All US sites, dv >=30 All US sites, SO4 >=15 Areas upwind of all sites for Highest dv = Highest SO4 Areas upwind of High SO4 = areas of high SO2 emissions 1999 EGU SO2 Emissions from EPA Clean Air Markets, layered with NPS ATAD trajectories for high IMPROVE SO4 via DataFed Viewer...
http://webapps.datafed.net/dvoy_services/datafed.aspx?view=CATT_PERC_DIFF CATT Percent Difference Tool Calculates Incremental Probabilities for any IMPROVE Site and Species and any Percentile Concentration Arsenic at Acadia
SO4 at SHEN NO3 at SHEN NO3 at WASH SO4 at WASH Incremental Probabilities for Top 10% SO4 & NO3 at SHEN & WASH
[object Object],[object Object],[object Object],[object Object],[object Object]
 
SURF_MET bext & “dry bext” (& other met) is global.  3873 sites for this hour, 1795 (circled) reporting bext. In “North American” domain below, there are 1870 sites with 1425 reporting visibility (blue). Red sites are 249 US-only, ASOS-only sites for which STI provides higher resolution bext, based on access to raw, uncensored data.
ASOS-STI  “Dry Bext” vs. AIRNOW PM2.5 for  NE NO3 &  SW Dust on 2/19/04 Same as Above but using much denser SURF_MET ASOS gridded & contoured with AIRNOW PM2.5
Real-time Surface Meteorology provided a rich met context. Link to the  Animation of the period Feb 19-21
FASTNET Aerosol Analyst Console(s): Snaps of Near-Real-Time Data Example: NE Sulfate Episode on 8/27/04 at 17:00 UTC (page 1 of 2)
FASTNET Aerosol Analyst Console, 8/27/04 at 17:00 UTC (page 2 of 2) Fires in the Southeast, Sahara Dust in the Gulf, Sulfate in the Northeast
Quebec Fires, July 6, 2002 SeaWiFS, METAR & TOMS Index Superimposed SeaWiFS satellite and  METAR surface haze shown in the Voyager distributed data browser Satellite data are fetched from NASA GSFC; surface data from  NWS/CAPITA servers
PM-2.5 vs. ASOS Bext during 7/02 Quebec Smoke Event. Note Ratio of scales = 6:1 implying 6 m2/g for Organics (which = 1.8 OC for this smoke)
From: Allen et al. 2004 (Draft – Do Not Cite) Preliminary RAINS Hourly Sulfate data from 5 MANE-VU sites  Note August 2 nd  Event (MD-only)  vs.  August 11 th  Event (All sites)
8/2/04 13:00  Gridded ASOS Bext & AIRNOW PM-2.5 (Southern  MANE-VU-only) 8/11/04 13:00  Gridded ASOS Bext & AIRNOW PM-2.5 (Entire MANE-VU Region)
Use Data Viewer to  Layer Various Aerosol-Related Data, including: Surface Winds   (SURF-MET) ASOS Bext   (STI) PM-2.5 Mass   (AIRNOW) Forecast SO4   (NRL Westphal)
RAINS Continuous Mass, SO4, OC data from Mohawk Mtn. CT vs. Bext from Bradley CT Airport - using MOMO species & Bradly RH to “Reconstruct” Bext. Prelim Data.  Do Not Cite.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Feb 19 2004:  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Aug 18, 2004 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some Bookmarks for: DataFed.Net:  http:// datafed .net/ Data Catalogs:  http:// webapps . datafed .net/ dvoy _services/ datafed _catalog. aspx Data Viewer:   http://webapps.datafed.net/dvoy_services/datafed. aspx Data Consoles:   http://www.datafed.net/consoles/realtime_consoles.asp?datetime=now-48&image_width=260&image_height=110 Kitty (Aerosol/Trajectory Browser):  http:// webapps . datafed .net/ dvoy _services/ datafed . aspx ?view=Kitty CSV File Editor & Submitter:  http:// webapps . datafed .net/ dvoy _services/ editfile . aspx Trajectory Aggregator & Gridder (substitute: YourFileName.csv for ALLDVge30.csv) http://webapps.datafed.net/dvoy_services/datafed.aspx?view=TrajAggGrid&csv_url=ALLDVge30.csv&value_column=value&scale_max=0.005 CATT Percent Difference (Incremental Probability Calculator):   http://webapps.datafed.net/dvoy_services/datafed.aspx?view=CATT_PERC_DIFF CATT & FASTNET Discussion Pages:  http://webapps.datafed.net/dvoy_services/dvoy_book.aspx?path=HOME/Projects/CATT http://webapps.datafed.net/dvoy_services/dvoy_book.aspx?path=HOME/Projects/FASTNET PM Event Detection from Time Series  http://capita.wustl.edu/capita/capitareports/0409EventAnalysis/0409EventByTimeSeries.ppt Eastern US Regional Haze Events: Automated Detection and Documentation for 2004 http://capita.wustl.edu/capita/capitareports/0409EventAnalysis/0409EventDetection04. ppt

Weitere ähnliche Inhalte

Mehr von 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
 
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
 
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
 

Mehr von 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
 
130205 epa exc_event_seminar
130205 epa exc_event_seminar130205 epa exc_event_seminar
130205 epa exc_event_seminar
 
130205 epa ee_presentation_subm
130205 epa ee_presentation_subm130205 epa ee_presentation_subm
130205 epa ee_presentation_subm
 
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
 

Kürzlich hochgeladen

What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
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
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
"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
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
"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
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
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
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 

Kürzlich hochgeladen (20)

What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
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
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
"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
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
"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
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
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
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 

Fast Cat Mv2[1]

  • 1. MANE-VU Status Report on CATT and FASTNET R. Poirot, VT DEC, 9/30/04 CATT: Combined Aerosol Trajectory Tools FASTNET: Fast Aerosol Sensing Tools for Natural Event Tracking Both are Inter-RPO Projects, Conducted by CAPITA (R. Husar), Managed for MANE-VU by: MARAMA (Serpil Kayin, CATT) & NESCAUM (Gary Kleiman, FASTNET)
  • 2. Status: CATT & FASTNET have been Eaten by DataFed.Net
  • 3. Within DATAFED.NET, CATT & FASTNET are 2 of many “ Projects” which Share Many Common “ Datasets” which can be Viewed, Compared, Archived, Exported, Analyzed & Interpreted, using a variety of Tools & Web-Based “ Applications”
  • 4. Data Catalog(s) Provide Access to Many: Fast (rapidly available), Current (near-real-time, recently archived & continuing) and Slow (historical data Like IMPROVE Aerosol & ATAD trajectories)
  • 5. Data Catalogs: Aerosol, Fire, Maps, Meteorology, Emissions, Images, Events
  • 6. Data Viewer: Open & View Any File in Catalog(s). Many Files Include Time Series, Linked to Map – Point & Click. Zoom Map or Time series, Change Size, Symbols, Variables, Add Layers, Export Data – Copy Paste.
  • 7. Data Files Accessed & Archived Specifically for FASTNET. Note Varying Start dates (1988-2004), with Most Continuing. VIEWS_CHEM (IMPROVE Aerosol) and ATAD Trajectories (NPS) are currently used in CATT Applications
  • 8. Start with Kitty: http:// webapps . datafed .net/ dvoy _services/ datafed . aspx ?view=Kitty Kitty DataFed .net Large Collection of Projects, Data, Tools. Where’s CATT “Start”?
  • 9. Change Species or Site Filtering & Data Export Change Sites by Point & Click Kitty Acadia SO4 > 15 ug/m3
  • 10. 1. Start with Kitty to Explore Any Combinations of IMPROVE & ATAD Traj. Data (any/all sites & years). 2. Export CSV file of Selected Data & Copy/Paste into CSV Table Editor and Save for Subsequent Analysis.
  • 11. 1. Change Traj Sort. 2. Plot in Kitty 2. Export file as CSV data. 3. Copy/Paste into File Editor,Save. 4. Open YourFile in TrajAggGrid… Save(d) as: ALLpost99OCge10.csv
  • 12. Select All Sites and Dates after 1/1/99 if : Organic Carbon >= 10 ug/m3. Fires in the West & Southeast (but not much in MANE-VU) Save CSV file & open in Trajectory Aggregator/Gridder, Weight Traj. by OC Concentration (or not), Normalize (or not) & Plot.
  • 13. Na >= 1.5 ug/m3 Sea Salt Comes from the Sea, as She Should. BRIG & ACAD Battelle PMF/Unmix modeling indicated a Sea Salt source at 6 MANE-VU sites, Increasing over time. Why? Is West Coast Sea Salt Increasing?
  • 14. Fine Soil >7.5, post-1999, All Sites & All Months Fine Soil > 7.5, All Years, All Sites, July-Only Western & Asian Dust (Primarily Spring) Eastern Sahara Dust (Primarily Summer)
  • 15. All US Sites, Nitrate >= 7.5 ug/m3 Western US, Nitrate >= 7.5 ug/m3 Eastern US, Nitrate >= 7.5 ug/m3 Eastern US (minus DC), Nitrate >= 7.5 ug/m3 South-Central California is large Source of High NO3 in West Eastern NO3 from both Eastern Agricultural & Urban areas
  • 16. Arsenic Nickel Nickel Selenium Nickel
  • 17. SO4 > 15 ug/m3
  • 18. If SO4 > 15 for entire IMPROVE network and entire period of record (25 sites). Top 10% of “Secondary Sulfate Source” from Battelle PMF at ACAD, BRIG, GRSM, LYBR, MACA, SHEN & WASH (7 sites)
  • 19. All US sites, dv >=30 All US sites, SO4 >=15 Areas upwind of all sites for Highest dv = Highest SO4 Areas upwind of High SO4 = areas of high SO2 emissions 1999 EGU SO2 Emissions from EPA Clean Air Markets, layered with NPS ATAD trajectories for high IMPROVE SO4 via DataFed Viewer...
  • 20. http://webapps.datafed.net/dvoy_services/datafed.aspx?view=CATT_PERC_DIFF CATT Percent Difference Tool Calculates Incremental Probabilities for any IMPROVE Site and Species and any Percentile Concentration Arsenic at Acadia
  • 21. SO4 at SHEN NO3 at SHEN NO3 at WASH SO4 at WASH Incremental Probabilities for Top 10% SO4 & NO3 at SHEN & WASH
  • 22.
  • 23.  
  • 24. SURF_MET bext & “dry bext” (& other met) is global. 3873 sites for this hour, 1795 (circled) reporting bext. In “North American” domain below, there are 1870 sites with 1425 reporting visibility (blue). Red sites are 249 US-only, ASOS-only sites for which STI provides higher resolution bext, based on access to raw, uncensored data.
  • 25. ASOS-STI “Dry Bext” vs. AIRNOW PM2.5 for NE NO3 & SW Dust on 2/19/04 Same as Above but using much denser SURF_MET ASOS gridded & contoured with AIRNOW PM2.5
  • 26. Real-time Surface Meteorology provided a rich met context. Link to the Animation of the period Feb 19-21
  • 27. FASTNET Aerosol Analyst Console(s): Snaps of Near-Real-Time Data Example: NE Sulfate Episode on 8/27/04 at 17:00 UTC (page 1 of 2)
  • 28. FASTNET Aerosol Analyst Console, 8/27/04 at 17:00 UTC (page 2 of 2) Fires in the Southeast, Sahara Dust in the Gulf, Sulfate in the Northeast
  • 29. Quebec Fires, July 6, 2002 SeaWiFS, METAR & TOMS Index Superimposed SeaWiFS satellite and METAR surface haze shown in the Voyager distributed data browser Satellite data are fetched from NASA GSFC; surface data from NWS/CAPITA servers
  • 30. PM-2.5 vs. ASOS Bext during 7/02 Quebec Smoke Event. Note Ratio of scales = 6:1 implying 6 m2/g for Organics (which = 1.8 OC for this smoke)
  • 31. From: Allen et al. 2004 (Draft – Do Not Cite) Preliminary RAINS Hourly Sulfate data from 5 MANE-VU sites Note August 2 nd Event (MD-only) vs. August 11 th Event (All sites)
  • 32. 8/2/04 13:00 Gridded ASOS Bext & AIRNOW PM-2.5 (Southern MANE-VU-only) 8/11/04 13:00 Gridded ASOS Bext & AIRNOW PM-2.5 (Entire MANE-VU Region)
  • 33. Use Data Viewer to Layer Various Aerosol-Related Data, including: Surface Winds (SURF-MET) ASOS Bext (STI) PM-2.5 Mass (AIRNOW) Forecast SO4 (NRL Westphal)
  • 34. RAINS Continuous Mass, SO4, OC data from Mohawk Mtn. CT vs. Bext from Bradley CT Airport - using MOMO species & Bradly RH to “Reconstruct” Bext. Prelim Data. Do Not Cite.
  • 35.
  • 36.  
  • 37.
  • 38.
  • 39. Some Bookmarks for: DataFed.Net: http:// datafed .net/ Data Catalogs: http:// webapps . datafed .net/ dvoy _services/ datafed _catalog. aspx Data Viewer: http://webapps.datafed.net/dvoy_services/datafed. aspx Data Consoles: http://www.datafed.net/consoles/realtime_consoles.asp?datetime=now-48&image_width=260&image_height=110 Kitty (Aerosol/Trajectory Browser): http:// webapps . datafed .net/ dvoy _services/ datafed . aspx ?view=Kitty CSV File Editor & Submitter: http:// webapps . datafed .net/ dvoy _services/ editfile . aspx Trajectory Aggregator & Gridder (substitute: YourFileName.csv for ALLDVge30.csv) http://webapps.datafed.net/dvoy_services/datafed.aspx?view=TrajAggGrid&csv_url=ALLDVge30.csv&value_column=value&scale_max=0.005 CATT Percent Difference (Incremental Probability Calculator): http://webapps.datafed.net/dvoy_services/datafed.aspx?view=CATT_PERC_DIFF CATT & FASTNET Discussion Pages: http://webapps.datafed.net/dvoy_services/dvoy_book.aspx?path=HOME/Projects/CATT http://webapps.datafed.net/dvoy_services/dvoy_book.aspx?path=HOME/Projects/FASTNET PM Event Detection from Time Series http://capita.wustl.edu/capita/capitareports/0409EventAnalysis/0409EventByTimeSeries.ppt Eastern US Regional Haze Events: Automated Detection and Documentation for 2004 http://capita.wustl.edu/capita/capitareports/0409EventAnalysis/0409EventDetection04. ppt