vista.cira.colostate/VIEWS

http://vista.cira.colostate.edu/VIEWS/

Shawn McClure, Rodger Ames and Doug Fox - CIRA

Bret Schichtel - NPS

VIEWS’ Vision

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.

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

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

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

VIEWS Users

Visibility Information Exchange Web System

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

Database Query Wizard – Query Construction Interface

Query Wizard III – Coming Soon

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

Annual Summary - Spatial and Seasonal Patterns

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

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

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.

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

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

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

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

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

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)

Current Product Inventory

Category Available PlannedContour Maps Annual aerosol light extinction, dv, and

major aerosol components

Annual and seasonal means, Annual best and worst 20% days

High quality images

Absolute and relative values

Budgets Best and worst 20% composition pie charts. Ability to select sort variable

Annual and seasonal bar charts

Budgets for best and worst 20% bext days

Pie charts for the individual site/date pairs

Annual time series of daily bar charts

Trends Long-term annual and 5-year rolling averages for major parameters

Time Trends Arrow maps

Back Trajectories ATAD trajectories at all IMPROVE sites. All days available. Timeline selection highlights best and worst days based on three sort variables

HYSPLIT/Monte Carlo generated trajectories for best and worst 20% days

All data products are available from 1996-2001. Only 2000 products were initially planned.

Extra component not specified in Scope of Work

VIEWS Backend Metadata Database

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.

Aerosol Light Extinction Budget Glacier NP 1996-1998

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5

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b

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r

Ap

r

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y

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Jul

Au

g

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p

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-1

Sulfate Coarse Mass LAC

Nitrate Organics Soil

VIEWS Annual Summary - Tools

Spatial PatternsSelect input data by clicking on a site iconSelect year and light extinction or major aerosol parameterSelect annual or seasonal time periodSelect data aggregation

VIEWS Annual Summary - Tools

CompositionSelect site from mapSelect year Select data aggregationSelect sort variableSelect daily composition from timeline

VIEWS Annual Summary - Tools

TrendsSelect site from mapSelect light extinction or major aerosol parameterSelect data aggregation Select annual or 5-year rolling averagesAbility to superimpose multiple plots

VIEWS Annual Summary - Tools

Back TrajectoriesSelect site from mapSelect year Highlight best or worst 20% days on timelineSelect sort variableChoose daily back trajectories set from timeline

Contour Maps

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

Data Summary ContentData Summary Content

Aerosol and Bext Budgets

Yosemite Bext Budget, 1995-99

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Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

1/M

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Sulfate Nitrate Organics LAC Soil

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

(NH4)2_SO4 bext

CM bext

EC/LAC bext

NH4_NO3 bext

OC bext

SOIL bextObs Value Average

Grand Canyon Bext Budget, 1995-99

Data Summary ContentData Summary Content

Best and worst20% calculated extinction days for each site

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.

Data Summary Data Summary ContentContent

Aerosol and Bext Trends 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

Data Summary ContentData Summary Content

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.

VIEWS Data Delivery and Analysis System

Characteristics (continued):Searchable annual data summaries and displays for

user-defined reports and presentationsData analysis tools for user-defined data

summaries and displays Descriptive documentation for all data, data

compilations, data products and data analysis tools