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SEEDS IT Vision Scenario: Smoke ImpactREASoN Project: Application of NASA ESE Data and Tools to Particulate Air Quality Management (PPT/PDF)

Scenario: Smoke form Mexico causes record PM over the Eastern US.

Goal: Detect smoke emission and predict PM and ozone

concentrationSupport air quality management and transportation safety

Impacts: PM and ozone air quality episodes, AQ standard

exceedanceTransportation safety risks due to reduced visibility

Timeline: Routine satellite monitoring of fire and smokeThe smoke event triggers intensified sensing and analysisThe 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 modelsAnalysis tools: browsing, fusion, data/model integrationDelivery 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.edu, stefan@me.wustl.edu

Smoke Event

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Smoke Scenario: IT needs and Capabilities

IT need vision Current state New capabilities How to get thereReal-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 dataLimited 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 toolsService 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

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Project Domain, New Technologies and BarriersREASoN 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