2004-07-28 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
1.
2.
3.
4.
5.
6.
7.
8.
9.
10. R eal-Time A erosol W atch (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.
11.
12. 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
13. Data Acquisition and Usage Value Chain Monitor Store Data 1 Monitor Store Data 2 Monitor Store Data n Monitor Store Data m IntData 1 IntData n IntData 2 Virtual Int. Data
14. 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
17. 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.
18. 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
19.
20.
21. Data Sources and Analysis for AQ 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
22.
23.
24.
25.
26.
27. GLAS Satellite Lidar ( Geoscience Laser Altimeter System) First satellite lidar for continuous global observations of Earth California Fires, Oct 7, 2003
28.
29.
30.
31.
32.
33.
34. Application of NASA ESE Data and Tools to Particulate Air Quality Management A proposal to NASA Earth Science REASoN Solicitation CAN-02-OES-01 REASoN: An Information Network for Earth Science Enterprise (ESE) Science, Applications and Education Stefan Falke and Rudolf Husar (Co-PIs) Washington University in St. Louis Project Period: June 2003 - May 2008
![[object Object],[object Object],[object Object],[object Object],F ast A erosol S ensing T ools for N atural E vent T racking FASTNET Project Synopsis Haze levels should be reduced to the ‘natural conditions’ by 2064. The space, time, composition features of natural aerosols are not known This long-term project goal is to better characterize the natural haze conditions Focus is on detailed analysis of major natural events, e.g. forest fires and windblown dust FASTNET is primarily a tools development project for data access, archiving and anlysis This, first year pilot project focuses on demonstrating the feasibility and utility of FASTNET](https://image.slidesharecdn.com/20040728-fast-aerosol-sensing-tools-for-natural-event-tracking-fastnet-25359/85/2004-07-28-Fast-Aerosol-Sensing-Tools-for-Natural-Event-Tracking-FASTNET-1-320.jpg){kind=tracking}
