The document reports on an evaluation of the Automated Surface Observing System (ASOS) light scattering network. It analyzes data from 220 ASOS stations to evaluate the precision and performance of the ASOS visibility sensors. It finds that some stations show excellent correlation between duplicate sensors while others show poorer correlation or significant offsets. It also examines diurnal patterns and the effects of relative humidity on visibility readings.

1. Report, June 2002 Evaluation of the ASOS Light Scattering Network Submitted by Rudolf B. Husar Center for Air Pollution Impact and Trend Analysis Submitted to James F. Meagher NOAA Aeronomy Laboratory R/AL Boulder Colorado

8. Three Sensor Comparison New York JFK New York La Guardia

10. Sensor

17. ASOS-Hourly PM2.5 Islip Long Island, NY

20. GLAS Satellite Lidar ( Geoscience Laser Altimeter System) First satellite lidar for continuous global observations of Earth California Fires, Oct 7, 2003

21. Data Fusion: ASOS Bext, SeaWiFS, TOMS

22. Smoke Pattern: Fusion of Elevation and Reflectance

23. Model-Data Smoke

24. Idaho Smoke and PM2.5

25. SeaWiFS AOT and PM2.5

26. Asian Dust Cloud over N. America On April 27, the dust cloud rolled into North America. The regional average PM10 increased to 65  g/m 3 In Washington State, PM10 exceeded 100  g/m 3 Reg. Avg. PM10 100  g/m 3 Hourly PM10

29. Surrogate Aided Interpolation Fine Mass Concentrations 1/r2 Interpolation Extinction Coefficient 1/r2 Interpolation Fine Mass Bext 1/r2 Interpolation Bext Aided FM = Fine Mass Bext x Bext 1991-1995 Summer 1991-1995 Summer 1991-1995 Summer 1991-1995 Summer

30. Estimated Ozone Concentrations , 1991-1995

32. PM10 in California Without Barriers With Barriers AIRS PM10 data (1994-1996) Sierra Nevada Mountains are clearly visible with barrier aided estimation

35. Real-Time Aerosol Watch (RAW) RAW is an open communal facility to study non-industrial (e.g. dust and smoke) aerosol events , including detection, tracking and impact on PM and haze. RAW output will be directly applicable, to public health protection, Regional Haze rule, SIP and model development as well as toward stimulating the scientific community. The main asset of RAW is the community of data analysts, modelers, managers and others participating in the production of actionable knowledge from observations, models and human reasoning The RAW community will be supported by a networking infrastructure based on open Internet standards (web services) and a set of web-tools evolving under the umbrella of Fast Aerosol Sensing Tools for Natural Event Tracking (FASTNET) . Initially, FASTNET is composed of the Community Website for open community interaction, the Analysts Console for diverse data access and the Managers Console for AQ management decision support.

36. Data Federation Concept and the FASNET Network Schematic representation of data sharing in a federated information system. Based on the premise that providers expose part of their data (green) to others Schematics of the value-adding network proposed for FASTNET Components embedded in the federated value network

37. Information ‘Refinery’ Value Chain (Taylor, 1975) Organizing Grouping Classifying Formatting Displaying Analyzing Separating Evaluating Interpreting Synthesizing Judging Options Quality Advantages Disadvantages Deciding Matching goals, Compromising Bargaining Deciding e.g. CIRA VIEWS e.g. Langley IDEA RAW System e.g. WG Summary Rpt e.g. RPO Manager Informing Knowledge Action Productive Knowledge Information Data

38. Interactive Virtual Workgroup Websites July 2002 Quebec Smoke

39. Air Quality Analysts Console, AQAC Implemented using Distributed Voyager Technologies AQAC is a set of web-pages for one-stop access to current PM monitoring data It taps into the on-line data services of EPA and RPOs, NASA, and NOAA and other providers AQAC the emphasizes timeliness and inclusiveness with some data integration Provides tools for dynamic data connections, space-time overlays and some analysis AQAC is implemented using the CAPITA Distributed Voyager infrastructure and tools.

40. Real-time PM Monitoring Console Example Views – Selected from Dozens of spatial, temporal, height cross-sections wind direction back trajectories temperature NAAPS model PM/Bext time series Bext contours PM2.5 contours web cam satellite image

42. Data Analysis and Decision Support Retrospective Anal. Months-years Now Analysis Days Predictive Analysis Days-years Data Sources & Types All the Real-Time data + NPS IMPROVE Aer. Chem. EPA Speciation EPA PM10/PM2.5 EPA CMAQ Full Chem. Model EPA PM2.5Mass NWS ASOS Visibility, WEBCAMs NASA MODIS, GOES, TOMS, MPL NOAA Fire, Weather & Wind NAAPS MODEL Simulation NAAPS MODEL Forecast NOAA/EPA CMAQ? Data Analysis Tools & Methods Full chemical model simulation Diagnostic & inverse modeling Chemical source apportionment Multiple event statistics Spatio-temporal overlays Multi-sensory data integration Back & forward trajectories, CATT Pattern analysis Emission and met. forecasts Full chemical model Data assimilation Parcel tagging, tracking Communication Collab. & Coord. Methods Tech Reports for reg. support Peer reviewed scientific papers Science-AQ mgmt. interaction Reconciliation of perspectives Analyst and managers consoles Open, inclusive communication Data assimilation methods Community data & idea sharing Open, public forecasts Model-data comparison Modeler-data analyst comm. Analysis Products Quantitative natural aer. concr. Natural source attribution Comparison to manmade aer. Current Aerosol Pattern Evolving Event Summary Causality (dust, smoke, sulfate) Future natural emissions Simulated conc. pattern Future location of high conc. Decision Support Jurisdiction: nat./manmade State Implementation Plans, (SIP) PM/Haze Crit. Documents, Regs Jurisdiction: nat./manmade Triggers for management action Public information & decisions Statutory & policy changes Management action triggers Progress tracking