1. 1 SEEDS IT Vision Scenario: Smoke Impact REASoN Project: Application of NASA ESE Data and Tools to Particulate Air Quality Management (PPT/PDF)Application of NASA ESE Data and Tools to Particulate Air Quality ManagementPPT/PDF Scenario: Smoke form Mexico causes record PM over the Eastern US. Goal: Detect smoke emission and predict PM and ozone concentration Support air quality management and transportation safety Impacts: PM and ozone air quality episodes, AQ standard exceedance Transportation safety risks due to reduced visibility Timeline: Routine satellite monitoring of fire and smoke The smoke event triggers intensified sensing and analysis The event is documented for science and management use Science/Air Quality Information Needs: Quantitative real-time fire & smoke emission monitoring PM, ozone forecast (3-5 days) based on smoke emissions data Information Technology Needs: Real-time access to routine and ad-hoc data and models Analysis tools: browsing, fusion, data/model integration Delivery of science-based event summary/forecast to air quality and aviation safety managers and to the public Record Smoke Impact on PM Concentrations rhusar@me.wustl.edurhusar@me.wustl.edu, stefan@me.wustl.edu stefan@me.wustl.edu Smoke Event

2. 2 Smoke Scenario: IT needs and Capabilities IT need visionCurrent stateNew capabilitiesHow to get there Real-time access to routine and ad-hoc fire, smoke, transport data/ and models Human analysts access a fraction of a subset of qualitative satellite images and some surface monitoring data Limited real-time datasets are downloaded from providers, extracted, geo- time-param-coded, etc. by each analyst Agents (services) to seamlessly access distributed data and provide uniformly presented views of the smoke. Web services for data registration, geo-time- parameter referencing, non-intrusive addition of ad hoc data; communal tools for data finding, extracting Analysis tools for data browsing, fusion and data/model integration Most tools are personal, dataset specific and ‘hand made’ Tools for navigating spatio-temporal data; User-defined views of the smoke; Conceptual framework for merging satellite, surface and modeling data Services linking tools Service chaining languages for building web applications; Data browsers, data processing chains; Smoke event summary and forecast for managers (air quality, aviation safety) and the public Uncoordinated event monitoring, serendipitous and limited analysis. Event summary by qualitative description and illustration Smoke event summary and forecast suitably packaged and delivered for agency and public decision makers Community interaction during events through virtual workgroup sites; quantitative now-casting and observation- augmented forecasting

3. 3 Project Domain, New Technologies and Barriers REASoN Project Type: Application – Particulate Air Quality Application Domain Process: Facilitating application (use) of ESE data and technologies in AQ management Participants: NASA as provider; EPA, States as users of data & technologies Specific application projects: FASTNET, Emissions, CATT, Forest Fire Emissions Current barriers to ESE data use in PM management Technological: resistances to seamless data flow and user-driven processing »necessary technology not available »technology not at operational TRL (also: technology not stable (i.e. rapidly evolving) »technology not easy for AQ agencies to adopt (intrusive) »technologies cannot be connected Scientific: The quantitative meaning [context?] of satellite data for AQ is not well understood Organizational: Lack of tools and skills within AQ agencies »Lack of coordination among AQ agencies (might not be relevant here) New Information Technologies Developed & Applied in the Project Web service wrappers for ESE data and associated tools Reusable web services for data transformation, fusion and rendering Web service chaining (orchestration) tools Virtual workgroup [do you like ‘workgroup’ better than ‘community’?] support tools Barriers to IT Infusion (??) [This could fit under technological barriers above] New technologies are at low tech readiness level, TRL 4