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vista.cira.colostate/VIEWS/

Shawn McClure, Rodger Ames and Doug Fox - CIRA Bret Schichtel - NPS. http://vista.cira.colostate.edu/VIEWS/. VIEWS’ Vision.

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vista.cira.colostate/VIEWS/

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  1. Shawn McClure, Rodger Ames and Doug Fox - CIRA Bret Schichtel - NPS http://vista.cira.colostate.edu/VIEWS/

  2. VIEWS’ Vision National air quality data integration, analysis and delivery system supporting the better understanding and analysis of haze and the implementation of the Regional Haze Regulation • Promote the use of quality-controlled, well-documented, high quality data and data products. • Enhance the technical knowledge, skills and resources of data users. • Reduce costs, increase efficiency and minimize conflicting data analysis results that would be associated with multiple separately developed systems.

  3. Views Objectives • Develop a database/web infrastructure • Integrate, homogenize and describe data (raw and derived) from multiple sources • Develop data query and analysis tools • Develop annual summary products • VIEWS began about 3 years ago and its development has been governed by the VIEWS steering committee • All objectives of Phase I of this project have been met • Fine tuning of tools until the end of December • January and onward move into maintenance and support • Bug fixes and minor enhancements but no new tool developments

  4. VIEWS International User Community • Over 700 registered users • About 2000 unique visitors a month • Visitors from over 100 different countries including from Mauritius, Iran and Vietnam (no one from Iraq or Afghanistan yet) • Over a 1000 queries to the database each month

  5. VIEWS Users

  6. Visibility Information Exchange Web System

  7. VIEWS Dataset Inventory - June 10, 2005 • Aerosol, optical and wet deposition datasets • 23 different data sets with data from 1979 - 2005

  8. Database Query Wizard – Query Construction Interface

  9. Query Wizard III – Coming Soon

  10. VIEWS Annual Data Summary • An on-line report containing routine data analyses of IMPROVE aerosol data to aid the implementation of the Regional Haze Rule • Original concept: archive of derived images for the best and worst 20% and average visibility days from 2000 - Present • Spatial patterns, Bext and aerosol budgets, daily composition and Trends and back trajectories

  11. Annual Summary - Spatial and Seasonal Patterns

  12. VIEWS Annual Data Summary • Current concept: dynamic tools with on-the-fly aggregation and visualization • Customize graphics • Immediately answer new question • Track progress towards the regional haze goal • Explore the IMPROVE RHR data • best and worst 20% visibility days from 1988 – present • Easily access routine data analysis products

  13. New Annual Summary Tool Uses • Site specific and regional analyses • Haze and aerosol trends • Aerosol component contribution to haze • Source apportionment • Episode analysis • Exploration of natural conditions • Aerosol data quality control • Model evaluation • and more

  14. Tracking Progress • Tracking Progress Towards Regional Haze Goal • Baseline and current conditions • Natural conditions • Glide slope • Ideally want to be able to track changes in emissions (controls) to changes in haze • Problem: Regional Haze Rule is based on best and worst 20% haze days and these days will change as atmospheric composition changes • Beneficial to track trends in deciview and extinction/aerosol components (sulfate, organics, etc) • Best and worst 20% haze days • Annual, seasonal, 20% highest concentrations, etc.

  15. Developments: June- December 2005 • Data access, visualization and analysis tools will be refined and finalized • Please let us know of any favorite data analysis products that are currently missing • Contour plots will be added • Simple back trajectory visualization • Update current database inventory • Maybe add the Canadian aerosol data

  16. Potential Future Applications • VIEWS is built on a mature database architecture and website infrastructure which is applicable to non-air quality data • Model base case and source attribution results • Summary emission data • GIS databases • Alternative RHR metrics and natural background estimates and resulting glide slopes • Application of annual summary tools to other datasets, e.g. Speciated Trend Network • What if scenarios – change the concentrations of a component to see how it changes the current conditions and days included in the haze metric

  17. Tracking Progress • Causes of Haze • Contributions of individual components to Bext • Annual variation of the Bext budget on best and worst haze days • Seasonal variation in occurrence of the best and worst haze days and their composition • Quality Control • Are the right days included in the haze index • Perform both regional and site specific analyses

  18. Key Data Access and Analysis Tools Network and monitoring site metadata Ad-hoc queries to online integrated database based on location, parameter and time • Calculated composite aerosol components and associated light scattering and extinction • Regional Haze Metrics Annual data summaries

  19. Annual Summary’s Evolving Purpose • Browse and retrieve high quality derived and aggregated data products • Create, archive and database graphical products • Display pre-generated graphics in a browser and searching / report generating tools • Explore aggregated data – ability to inter-compare data and examine daily data. • Database aggregated data values • Dynamically derive aggregated data from raw data • Explore data by generating graphics on the fly based upon user selected options

  20. Annual Data Analysis Summary Content • Contour maps of the major aerosol composite species for the best and worst 20% and average visibility days. • Aerosol and light extinction budgets for the best and worst 20% and average visibility days. • Monthly bar charts • Seasonal and annual pie charts • Composition of the individual best and worst 20% visibility days for each site • Aerosol and light extinction trends • Airmass histories (back trajectories) • Each analysis will be accompanied by a description and the calculation algorithms. (Over 10,000 plots per year excluding back trajectories)

  21. Current Product Inventory All data products are available from 1996-2001. Only 2000 products were initially planned. Extra component not specified in Scope of Work

  22. VIEWS Backend Metadata Database

  23. VIEWS Annual Summary - Concept • Provide browse and search capabilities of IMPROVE data and composite variables • Products dynamically linked to database Browse – give users a feel for data by database dimensions location, time, parameter, and by aggregation metric Search – provide access to high quality graphical products, product descriptions, and product data. Ability to generate custom reports.

  24. VIEWS Annual Summary - Tools • Spatial Patterns • Select input data by clicking on a site icon • Select year and light extinction or major aerosol parameter • Select annual or seasonal time period • Select data aggregation

  25. VIEWS Annual Summary - Tools • Composition • Select site from map • Select year • Select data aggregation • Select sort variable • Select daily composition from timeline

  26. VIEWS Annual Summary - Tools • Trends • Select site from map • Select light extinction or major aerosol parameter • Select data aggregation • Select annual or 5-year rolling averages • Ability to superimpose multiple plots

  27. VIEWS Annual Summary - Tools • Back Trajectories • Select site from map • Select year • Highlight best or worst 20% days on timeline • Select sort variable • Choose daily back trajectories set from timeline

  28. Contour Maps Data Summary Content Organic ExtinctionAnnual: 1996-2000 Organic Percent of Aerosol ExtinctionAnnual: 1996-2000 • Parameters: Fine and coarse mass, Bext & major aerosol and Bext components (sulfate, organics, soil, nitrates, elemental carbon) • Metrics: annual and seasonal averages and average of best and worst 20% visibility days, absolute and fractional contributions

  29. Aerosol and Bext Budgets Data Summary Content • Parameters: Fine and coarse mass, Bext & major aerosol and Bext components (sulfate, organics, soil, nitrates, elemental carbon) • Metrics: annual and seasonal averages and average of best and worst 20% visibility days, absolute and fractional contributions Grand Canyon Bext Budget, 1995-99

  30. Best and worst20% calculated extinction days for each site Data Summary Content Stacked bar plots of aerosol and Bext contributions from the conventional five aerosol species for each observation day at each of the IMPROVE sites for the entire year.

  31. Aerosol and Bext Trends Data Summary Content • Parameters: Fine and coarse mass, Bext & major aerosol and Bext components (sulfate, organics, soil, nitrates, elemental carbon) • Metrics – average of upper, lower and middle 20% haze days

  32. VIEWS Data Delivery and Analysis System Characteristics: • Archive to include ambient air quality, meteorological and summary emissions data useful for regional haze implementation data assessments [excluding regional air quality modeling] • Organize, describe and provide access to on-line air quality, meteorological, and emission data resources • Retrieval of user-defined data and data compilation* subsets by monitoring location, time period, parameter, etc. *Data compilations include the composite fine mass components, aerosol extinction components, total extinction, identification of best and worst visibility, etc.

  33. VIEWS Data Delivery and Analysis System Characteristics (continued): • Searchable annual data summaries and displays for user-defined reports and presentations • Data analysis tools for user-defined data summaries and displays • Descriptive documentation for all data, data compilations, data products and data analysis tools

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