1. NASA Air Quality Applications Program and the ESIP Air Quality Cluster The goal of the NASA Air Quality Management program is to: Enable partners’ beneficial use of Earth science research results, observations, models, and technologies to enhance decision support capabilities serving their air quality management and policy responsibilities. ESIP Air Quality Cluster is closely aligned with this goal and could potentially in establishing the data sharing partnerships New projects make data and services available Make use of existing data and services Facilitate integration (partnership) as the resistance in connecting is reduced

2. Cyberinfrastructure - information sciences and technologies used to build new types of scientific and engineering knowledge environments with the goal of pursuing research and management more effectively and efficiently. “ Contemporary projects require effective federation of both distributed resources (data and facilities) and distributed, multidisciplinary expertise and cyberinfrastructure is a key to making this possible.” - NSF Blue Ribbon Report on Cyberinfrastructure, 2003 Cyberinfrastructure (Atkins, 2004)

3. Federated data system - DataFed The air quality community is supported by a non-intrusive, incremental data integration infrastructure based on Internet standards (web services) and a set of web-tools evolving through the federated data system, DataFed. (Husar et al, 2004) http://datafed.net

4. Spatial-temporal analysis of fire counts http://webapps.datafed.net/dvoy_services/datafed.aspx?page=Fire_Pixel_Count_AK Large fires during the summer of 2004 in Central Alaska. Spatially aggregated count of fire pixels over a 100km 2 area. The size of each red square in the map is proportional to the number of fire pixels. The spatial aggregation allows the generation of a time series for each aggregated area.

5. Comparison of fire pixels http://www.datafed.net/WebApps/MiscApps/ModisGoes/FireLocationComparison.htm A red shaded square indicates a short distance separating the MODIS and GOES pixels while a blue shaded square indicates the nearest neighbor between the datasets were far apart. A red outlined square indicates the nearest neighbor was detected on the same day while a blue outlined square indicates a longer time separation. Gray shaded and/or outlined squares indicate that a nearest neighbor was not found between the two datasets given the search parameters (in this example case, 100 km and 2 days).

6. Standards based data sharing Open Geospatial Specifications (OGC) for web mapping Web Map Service (images) Web Feature Service (point/vector data) Web Coverage Service (gridded data) Geospatial One-Stop http://www.datafed.net/DataLinks/OGC/OGC.htm

7. Goals 1. Serve as facilitator and advisor for the Earth science information community. 2. Promote efficient flow of Earth science data from collection to end-use. 3. Improve quality and usability of Earth science data and information systems. 4. Expand the use of Earth science information – get it to the decision-makers. 5. Educate the public about Earth science and science information systems. Earth Science Information Partners ESIPESIP Data Providers Data Users

8. EPA-AQS AIRS Compliance Manager Scientist NASA DAACs Science AIRNow Current info systems are project/program oriented providing end-to-end solutions Public EPA AIRNow Info UsersData ProvidersInfo System AQ Information Systems: Current and with DataFed Through the Federation, the data are homogenized into multi-dimensional cubes Data processing and rendering can then be performed through standard web services Each project/program can be augmented by data and services from the Federation Part of the data resources can be shared for re-use through DataFed Draft, April 28, 2005 ESIP AQ Cluster, rhusar@me.wustl.edu

9. Federated Air Quality Data System - Draft Text 1 Text 2 Wrappers Where? What? When? Federate Data StructuringSlice & Dice Explore Data Viewers Programs Integrate Understand AQ Compliance Nowcast/Forecast Status & Trends Find Data Gaps ID New Problems ……… Info Needs Reports Emission Surface Satellite Model Single Datasets Providers Networking Reuse ESIP AQ Cluster 050510 Draft rhusar@me.wustl.edu Run and click PPT Slideshow to see chart animations Non-intrusive Linking & MediationData UsersData Providers

10. ESIP Air Quality Cluster datatools,methods,services AQ Cluster brings together groups and builds links among them in order to achieve an effective use of data in decision-making that could not be achieved by any organization acting on its own. The objective of the ESIP Air Quality Cluster is to connect air quality data consumers with the providers of those data by:  bringing people and ideas together on how to deliver ES data to AQ managers  facilitate and demonstrate the information flow of from data providers to air quality consumers datatools,methods,services a) b) c)...... AQ Cluster aids in reuse of data, processing tools and other services so that projects, programs and agencies avoid the burden of developing those capabilities or establishing connections to them. users

11. The data and services shared through the Cluster can be used to supplement those from other sources (they “blend -in” with existing data flows) AQ Cluster

13.  Air quality planning & emission control strategies;  Air pollution and emissions sources, transport and deposition;  Compliance and regulation;  Air quality forecasting;  International atmospheric policies and treaties;  Economic management and trade; and,  Public and environmental health. Partnerships Aura, Terra, Aqua, EP-TOMS, CloudSat, CALIPSO, NPP, NPOESS, Glory, and OCO. Priority Earth science models include: RAQMS, GOCART, MM5, Hysplit, MOZART, WRF-CHEM, and GEOS-CHEM to extend Earth science measurements, environmental data records, and geophysical parameters Priority air quality constituents are ozone, aerosols (PM2.5), and emissions indicators (e.g., NO2, HCHO, CO)

14. The goal of the Air Quality Management program is to: Enable partners’ beneficial use of Earth science research results, observations, models, and technologies to enhance decision support capabilities serving their air quality management and policy responsibilities. Major tenets of the Air Quality program’s goal include:  Develop and nurture partnerships with appropriate air quality organizations  Identify and assess partners’ air quality management responsibilities, plans, and decision support tools and evaluate capacity of Earth science results to support the partners  Validate & verify application of Earth science results with partners, including development of products and prototypes to meet partners’ requirements  With partners, document value of Earth science results relative to partners’ benchmarks and support adoption into operational use  Communicate results & partners’ achievements to appropriate air quality communities and stakeholders

15. - Reuse of Data and IT tools -