Air Quality EET Development

From Earth Science Information Partners (ESIP)
Revision as of 10:05, March 16, 2009 by Erinmr (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Air Quality EET Chapter Development

Ana Prados
Erin Robinson
Sean Raffuse
Brian Rogan
Steve Kluge
Tamara Ledley

DataSheet Template

Draft DataSheet on NOAA Hazard Mapping System fire and smoke data

Draft DataSheet on

EET - AccessData Activity Outline Guide

November 2008 Current and in development EET Chapters and DataSheets related to Air Quality

Current Live EET Chapters related to Air Quality

EET Chapters in Development related to Air Quality

DataSheets Current Live DataSheets related to Air Quality

DataSheets in Development related to Air Quality

Giovanni Aerosol Resources

True Color Imagery

DataFed Resources

Breakout Sessions

Breakout Session 1: Jan 6, 2009 2-3:30pm
Meet your team members. Learn about the data, tools, and expertise represented on your team. Review DataSheet(s) and explore data and tools.
Team members meet each other and share their experiences and viewpoints on using data in education. Review and discuss DataSheet(s) begun by the data representative(s) for your team. Explore datasets and tools and consider how the expertise on the team can complement them. If you haven't already done so, narrow down the range of datasets the team is considering using to a manageable number.


Sean started HMS Datasheet HMS is fire locations – where the fires are.


  • How to access dataset?
  • Which data type do we use? Add bullets for accessing data.

HMS takes multiple satellites and determines fire pixels every day Error – don’t detect smoke on cloudy days, too small or different times. Wrong location.

Opening up discussion for how to be used in education (10th grade – 16):

  • atmospheric science
  • chemistry
  • aerosols
  • fire weather
  • smoke/health* (Are there datasets for a health connection)

Education Resource – chapter, Smog Blog

Develop chapter in a way that incorporates multiple datasets in order to give full picture of smoke.

Dust Forecast/Health connection (PhAIRS) – Karl Bennedict

June 20- Early Aug, 2008 CA Smoke Event Blue Sky tool shows HMS fires, also fire information, ground info and fire names

Datasheet for Airnow provides air quality information on the ground. Look at daily 24 hr and 24 hr-loop for a given location. State of CA for June 22 Math lesson based on EPA Standards, Average, percentile

Smog City Tool : Needs to be extended – Error missing,

Connection between visibility and air quality

KML – do entire lesson in GE

Additional Dataset:

Breakout Session 2: Jan 6, 2009 4-5:30pm
Brainstorm data-use storylines
Brainstorm a set of possible storylines for valid investigations of the dataset(s) you have selected. Come up with at least one compelling scenario that will give users a reason to work through the technological steps necessary to perform an analysis of the data.
The Activity Outline Guide provides an outline for the minimum information needed for the team's activity outline.

Notes Creating a compelling story Grades 7-12 or 10-16 (difficult to do both) About 1 page or less Ideas:

  • teachers like a concrete example, but we need to provide information on how they can broaden it
  • case should be clear cut and obvious
  • tie in between meteorology and genesis of fire and fire growth
  • don't complicate it with too many processes
    • What causes the fires, what causes the bad air
  • extension plug in - what causes dry lightning

Candidate event - Summer 2008 Northern California fires

  • need something that triggers something in the student
  • overlay fire extent or smoke extent and compare to your area
  • link to AIRNow video module
  • may be impact on sunsets widely
  • visualization of lightning data
  • create a pre-generated kml (kmz?) in datafed with AIRNow, HMS, etc. and link to that
  • use giovanni in a specific way
  • produce a map of fire climatology so we can show the data to other sites. (or have a few examples)
  • prescribed fire?

Breakout Session 3: Jan 7, 2009 2-3:30pm Select a data-use scenario and perform a proof-of-concept check
Use the complementary expertise on the team to check that the task you are envisioning can actually be completed in an educational setting. Identify a target grade level for the activity and choose a working title.
Please limit the scope of the activity to tasks that can be accomplished by accessing existing data and tools. Discuss and agree upon the content limits of the activity as well. Consider that the major goal of these activities is to develop user familiarity with the data and tools.

Breakout Session 4: Jan 7, 2009 4-5:30pm Develop your case study storyline and outline the procedures for data access and analysis Case Study Development
Record ideas, bullet points, or actual text that will become part of the case study to introduce users to the issues and concepts of the activity. Gather links for appropriate images, diagrams, and background text. Data Access and Analysis Procedures
Record the name and URL of all datasets and access/analysis software tools to be used. List the major tasks users will complete, then perform a deliberate walk-through of each task to capture the full sequence of procedures. Give special attention to the most difficult or least intuitive steps, and note points in the sequence where additional information will be helpful.

Breakout Session 5: Jan 8, 2009 1:30-3:00pm Enhance your step-by-step procedures by adding "About" sections that provide extra information; List several ideas for "Going Further" with the data or tools
Fill in any gaps in your activity outline and add sections that can help users make meaning of the data. Suggest several ideas for the "Going Further" section that challenge users to work with the data and/or tools in other investigations. These suggestions provide launching points for scientific inquiry which is facilitated by the skills learned in the activity.
Finalize your Activity outline and DataSheet identifying team members, working title, datasets and anlaysis tools to be used, and a brief description of the planned activity.

media:EET Chapter outline.doc