Air Quality Cluster Air Quality Cluster TechTrack Earth Science Information Partners Partners(?) NASA NOAA EPA USGS DOE NSF Industry… Data Flow Technologies.

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Presentation transcript:

Air Quality Cluster Air Quality Cluster TechTrack Earth Science Information Partners Partners(?) NASA NOAA EPA USGS DOE NSF Industry… Data Flow Technologies and Demonstrations Contact: Rudolf Husar, Flow of Data Flow of Control Air Quality Data Meteorology Data Emissions Data Informing Public AQ Compliance Status and Trends Network Assess. Tracking Progress Data to Knowledge Transformation Draft, March 2005 (intended as background for AQ Cluster discussions)

Information Information ‘Refinery’ Value Chain Informing Knowledge ActionProductive Knowledge Data Organizing Grouping Classifying Formatting Displaying Analyzing Separating Evaluating Interpreting Synthesizing Judging Options Quality Advantages Disadvantages Deciding Matching goals Compromising Bargaining Deciding e.g. DAAC e.g. Langley IDEA, FASTNET, Forecast Modeling e.g. WG Reports e.g. RPO Manager Info. Quality Transform. Processes Examples ESIP – Facilitation ?Sates, EPA, International Value Chain Based on Taylor, 1975: Value- Added Processes in Information Systems

Data Flow & Processing in AQ Management AQ DATA EPA Networks IMPROVE Visibility Satellite-PM Pattern METEOROLOGY Met. Data Satellite-Transport Forecast model EMISSIONS National Emissions Local Inventory Satellite Fire Locs Status and Trends AQ Compliance Exposure Assess. Network Assess. Tracking Progress AQ Management Reports ‘Knowledge’ Derived from Data Primary Data Diverse Providers Data ‘Refining’ Processes Filtering, Aggregation, Fusion

Data Flow and Flow Control in AQ Management Provider Push User Pull Data are supplied by the provider and exposed on the ‘smorgasbord’ However, the choice of which data is used is made by the user Thus, data consumers, providers and mediators together form the info system Flow of Data Flow of Control AQ DATA METEOROLOGY EMISSIONS DATA Informing Public AQ Compliance Status and Trends Network Assess. Tracking Progress Data to Knowledge Transformation

Air Quality Data Use (EPA Ambient Air Monitoring Strategy, 2004) AQ Mangmt ActivityESIP Role Informing the public NAAQS (Nat. Amb AQ Std) NAAQS compliance Tracking progress (trends) Strategies, SIPs, model eval. Science support, processes Ecosystem assessment

A Sample of Datasets Accessible through ESIP Mediation Near Real Time (~ day) It has been demonstrated (project FASTNET) that these and other datasets can be accessed, repackaged and delivered by AIRNow through ‘Consoles’ MODIS Reflectance MODIS AOT TOMS Index GOES AOT GOES 1km Reflec NEXTRAD Radar MODIS Fire Pix NRL MODEL NWS Surf Wind, Bext