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Fire, Smoke

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Title: Fire, Smoke


1
Data and Tools for Air Quality Monitoring and
Analysis through the Web Center for Air
Pollution Impact and Trend Analysis (CAPITA)
Washington University in St. Louis
www.DataFed.net Data Sharing/Processing
Infrastructure
FASTNET Fast Aerosol Sensing Tools for Natural
Event Tracking
Software Tools Dozens of datasets on aerosols,
emissions, fire, meteorology, GIS
Data Catalog and Access Dozens of datasets on
aerosols, emissions, fire, meteorology, GIS
This Inter-RPO/NESCAUM pilot project
characterizes the natural haze condition through
detailed analysis of from forest fires, windblown
dust and other sources. FASTNET datasets Over a
dozen real-time and historical datasets are
accessible to the community for the documentation
of natural aerosol events. The data list includes
satellite and surface data as well as models.
Software tools The FASTNET software tools
include web-based Analysts Consoles (collections
of related data views shown on a single page),
animation tools and special processing/display
tools   Natural Aerosol Event Analyses The
initial FASTNET project includes the detailed
analysis of several historical (2000-2003) and
current (2004) aerosol events. Reference R.
Husar, K. Hoijarvi, E. Robinson, R. Poirot.
FASTNET Progress Report III, June 2004.
http//webapps.datafed.net/dvoy_services/dvoy_book
.aspx?pathHOME/Projects/FASTNETdirReports/ProgR
ep0406
Interactive Data Browser
Aerosol Datasets
Data Federation (DataFed) is a web-based
infrastructure for distributed data access and
collaborative processing/analysis of air quality
data
DataFed Goals Facilitate the flow of
atmospheric data from provider to users Support
user-driven data processing value chains
Participate in specific application
projects Software for the Developer Software
for registering distributed datasets to the data
federation Web services for data access,
processing and rendering Web service chaining
for composing custom-designed data views
  DataFed Technologies and Architecture
Form-based, third-party wrapping of distributed
data XML Web services for the execution of
specific tasks Service Oriented  Architecture
(SOA) for building loosely coupled application
programs
Meteorological Datasets
Surface Reflectance Seasonal 1km surface using
SeaWiFS
Fire, Smoke Air Quality Tools for Data
Exploration Analysis
SEAWiFS satellite data were processed to derive
daily, 1 km surface reflectance maps for
2000-03 Spectral (8 color, 0.4-0.9 mm) is an
indicator of the land cover type (water,
vegetation, soil, urban ) The co-retrieval
technique simultaneously derives both the surface
and aerosol reflectance Time series illustrate
the seasonal pattern of surface reflectance for
different surfaces Applications of surface
reflectance data include - Vegetation
mapping - Land characterization -
Aerosol retrieval over land - Radiative
balance/climate Reference S. Raffuse
Estimation of Daily Surface Reflectance Over the
United States from the SeaWiFS Sensor. MS Thesis,
2003. http//capita.wustl.edu/capita/capitareports
/0305SurfColorRaffuse/SurfReflRaffuseThesis_files/
frame.htm
This project integrates disparate data sources
and provides data analysis tools to understand
characteristics of fires and their air quality
impact.
Fire Datasets
Fire-related datasets Available datasets
include satellite fire detection, surface field
observations, emissions inventories, fire weather
and model output. Analysis tools Web
applications and tools allow users to spatially
and temporally aggregate data, spatially
interpolate point data, and mathematically
(subtract, divide, ) operate on gridded data
sets.   Data Comparisons A variety of datasets
are available for characterizing fire and its air
quality impacts from multiple perspectives. This
ongoing project is examining spatio-temporal
patterns among these datasets. For example, field
observations of fire occurrence and size are
compared with derived satellite data of fire
detection.
August 2000 Idaho fire is depicted using SeaWiFS
satellite image, ASTR satellite fire detections
(red), and EPA AIRS PM2.5 concentration monitors
(yellow).
EPA NEI 1999 fire emissions data
(wildfireyellow, prescribed fireorange) and BLM
1999 fire history, number of acres burned (red
circles).
June 2000
Aggregated number of fire pixels detected by
satellites (MODIS, GOES, AVHRR) in interior
Alaska, June - August 2004. Data source NOAA
Satellite Services Division, HMS Dataset
Reference S. Falke, Hemming, B. Integrated
Fire, Smoke and Air Quality Data Tools Network,
RPO National Workgroup Meeting October 2003.
http//capita.wustl.edu/FSAN
AVHRR (red) and MODIS (blue) derived fire pixels
during June 16-June23, 2004. Data source NOAA
Satellite Services Division
Research supported by
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