Difference between revisions of "Talk:EE DSS Webinar"

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== Details about Exceptional Event Webinar - April 30, 3-4:30 EDT -- [[User:Erinmr|Erinmr]] ([[User talk:Erinmr|talk]]) 09:57, 18 April 2013 (MDT) ==
 
== Details about Exceptional Event Webinar - April 30, 3-4:30 EDT -- [[User:Erinmr|Erinmr]] ([[User talk:Erinmr|talk]]) 09:57, 18 April 2013 (MDT) ==
  
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We will follow-up next week with a bit more hands-on tutorial material to get started with the EE DSS. We are looking forward to working with all of you and utilizing the EE DSS in an operational setting!  Best, Rudy Husar
 
We will follow-up next week with a bit more hands-on tutorial material to get started with the EE DSS. We are looking forward to working with all of you and utilizing the EE DSS in an operational setting!  Best, Rudy Husar
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== Contribute to EE DSS Community - Suggest Flag Dates for Analysis on Webinar | Share State/Region EE Resources -- [[User:Erinmr|Erinmr]] ([[User talk:Erinmr|talk]]) 16:05, 25 April 2013 (MDT) ==
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My name is Erin Robinson. I work with Rudy Husar, the Exceptional Event Decision Support System (EE DSS) lead, to support the community of State and regional analysts using the EE DSS to identify and document EE flags. This note is to follow up on your registration for the EE DSS Webinar next Tuesday, 3 pm EDT. The primary focus for the webinar will be using EE DSS to identify candidate flag samples.
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The webinar will also initiate the Exceptional Event Decision Support Community. I would like to invite your participation in this community space ahead of the webinar.  Please reply to this note, if you already have prepared and are willing to share:
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* Candidate flag dates and location IDs to use for example analysis with EE DSS on webinar
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* EE-related websites or resources from your State or organization. We are compiling a list on the EE Analysis Community Workspace
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EE DSS DataFed Background: The EE DSS is built on top of the federated data system, DataFed. Here are two quick screencasts that introduce the general functionality of the DataFed system: (1) Air Quality Community Catalog and (2) DataFed Browser.  Thanks you so much for your initial interest and your participation. I'm looking forward to talking to many of you next week!

Latest revision as of 16:05, April 25, 2013

< Back to list of discussions

Contributions are welcome of observations, models, tools, methods, analyses and discussions. For questions or to get involved email Erin Robinson, erinrobinson@esipfed.org or Rudy Husar, rhusar@wustl.edu.

To join the email list: https://groups.google.com/a/esipfed.org/forum/#!forum/ee-aq-analysis-community

Details about Exceptional Event Webinar - April 30, 3-4:30 EDT -- Erinmr (talk) 09:57, 18 April 2013 (MDT)

Hello EE Webinar Participants, This is note to provide introduction to the upcoming Exceptional Event Decision Support Webinar, Tuesday, April 30, 3-4:30 EDT. So far there are 96 of you registered from over 40 agencies and from 31 States plus Mexico.

This webinar is the first of two webinars that will introduce the Exceptional Event Decision Support System (EE DSS) of which purpose is to identify and to document observations that are candidates for exceptional event flagging. The session will focus on screening the AQS data for exceedances above "normal" values and to indicate potential smoke or dust causes. During the first 90-minute webinar we will cover the following topics:

  • The approach of EE DSS to address the clauses required by the Exceptional Event Rule;
  • Datasets (FRM, satellite, model) and tools used in the EE DSS
  • Analysis approach: finding exceedances and those above normal variations;
  • Suggested exceptional (dust or smoke) sources for candidate samples
  • Demonstration of specific flagging examples

A second webinar is planned for the end of May on the same topics, incorporating feedback from State analysts and pursuing further flagging use cases. The webinars and the associated wiki workspace are provided to give States and EPA Regions the opportunity to ask questions and provide feedback on how to improve the EE DSS.

The main output of this decision support effort will be a national-scale list of candidate samples (these are not "official") for EE flagging for 2010-2012. Based on this screening, States can identify and select candidate samples for EE flagging, to be submitted to EPA by the July 1, 2013 deadline. The anticipated outcomes and benefits of the EE Decision Support will include: reduction of the effort required by the States for EE flagging as well as a simpler and more uniform EE flag evaluation process by the EPA Regions.

We will follow-up next week with a bit more hands-on tutorial material to get started with the EE DSS. We are looking forward to working with all of you and utilizing the EE DSS in an operational setting! Best, Rudy Husar

Contribute to EE DSS Community - Suggest Flag Dates for Analysis on Webinar | Share State/Region EE Resources -- Erinmr (talk) 16:05, 25 April 2013 (MDT)

My name is Erin Robinson. I work with Rudy Husar, the Exceptional Event Decision Support System (EE DSS) lead, to support the community of State and regional analysts using the EE DSS to identify and document EE flags. This note is to follow up on your registration for the EE DSS Webinar next Tuesday, 3 pm EDT. The primary focus for the webinar will be using EE DSS to identify candidate flag samples.

The webinar will also initiate the Exceptional Event Decision Support Community. I would like to invite your participation in this community space ahead of the webinar. Please reply to this note, if you already have prepared and are willing to share:

  • Candidate flag dates and location IDs to use for example analysis with EE DSS on webinar
  • EE-related websites or resources from your State or organization. We are compiling a list on the EE Analysis Community Workspace

EE DSS DataFed Background: The EE DSS is built on top of the federated data system, DataFed. Here are two quick screencasts that introduce the general functionality of the DataFed system: (1) Air Quality Community Catalog and (2) DataFed Browser. Thanks you so much for your initial interest and your participation. I'm looking forward to talking to many of you next week!