May 24, Improving Air Quality Mapping by Adding NASA Satellite Data

Big Picture: Project Objectives Improve operational air quality maps currently in AIRNow and make them available 24 hrs a day every day Provide satellite data products in AIRNow-Tech Improve tools for air quality forecasting 2 Without satellite data, contouring would not be possible in the hatched areas.

Outreach Evaluation of the economic and societal benefits of using satellite data AIRNow Stakeholder buy-in Other videos, papers, conferences, etc. 3

Socio-Economic Benefits Analysis Applied for an augmentation to the contract – Contracting with an independent firm – Strengthen our results by adding in the $ saved, jobs created, etc. to the statistics Literature review, detailed selection and review of areas for study, describe changes, describe benefits and impacts Start in early January 2012 and continue through

Stakeholder Buy-in Plan for 2012: – Educate stakeholders How does the satellite measure air quality? How are different data sources weighted? Develop fact sheet to be distributed internally and externally – Engage stakeholders from the ground level Form subcommittee of ~5 stakeholders to: – Evaluate ASDP products – Share results on monthly conference calls – Brief AIRNow Steering Committee periodically on progress – Evaluate the accuracy and usefulness of the ASDP Incorporate EPA and stakeholder feedback during testing and development 5

ASDP Overview Testing Fusion Pre-processing 6

Preliminary Results: Smoke and No Monitors (Kansas) 7 Smoke in Nebraska (MODIS and AOD) No Monitors ASDP adds information (Moderate) Next Steps: How good is this information (scientific and socio-economic POV) Observed DataSatellite Data Fused Data MODIS & AIRNow Observations

Preliminary Results: Isolated Unhealthy for Sensitive Groups 8 High AOD (smoke?) in central Indiana Large USG area due to interpolation ASDP constrains the monitor influences Next Steps: How good is this information? (scientific and socio- economic POV) Observed Data Satellite Data Fused Data MODIS & AIRNow Observations

Preliminary Results: Next Steps Scatter plots Spatial statistics – How much information was added with satellite data? Statistical metrics – RMSE, standard error, etc. 9 RMSE = root mean square error

ASDP Website Linked to AIRNow-Tech user information (i.e., only the home page is currently accessible without logging in) – Project and method description – Project team roles and contact information – Experimental maps – Comments 10

Issues, Needs, and Next Steps ASDP – Establish a real-time data feed – Integrate the ASDP modules into AIRNow – Determine where the algorithms will run (begin conversations with NOAA) Socio-Economic Evaluation – Gather data needed and contract with firm to begin evaluation Outreach – Additional videos (awaiting award from NASA) 11

Plans for Year Three Complete testing and evaluation Establish a real time AOD data feed Finalize a software specification document Integrate the ASDP within AIRNow ops Engage AIRNow stakeholders Begin to gather data for the economic and societal impacts investigation Develop a long term operations plan 12