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   Trends analysis
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   Episode analysis
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Receptor Descriptive Analysis
This is to document the descriptive data analysis tools used in the assessment.


The purpose of the descriptive data analysis is to assist us in the general and detailed description of the meteorological setting of each site leading to the conceptual models of reduced visibility at all Class I areas in the WRAP and CENRAP regions.  The analysis will also help us to understand the source-receptor relationships through spatial data analysis and data visualization.

So far we have archived over 200 GB of spatial data at DRI relevant to our quest to describe the class I areas both with and without IMPROVE monitoring sites.  We have archived monitoring network locations, climate, emissions, wildfires, census, political, physical and image databases.

Types of Data Used in the Analysis

Air quality networks
IMPROVE and IMPROVE protocol sites (archived from VIEWS)
EPA Speciation Trends sites (STN)
State/local agency SLAMS/NAMS/PAMS sites
PM10, PM2.5, SO2, O3, CO, NOx
CASTNet
Special studies (CRPAQS, CCOS, Mohave, Bravo, Zirkel, etc.)

Meteorological networks
State/local agency sites
NWS surface and upper air sites including wind roses
RAWS site over the US
NWS Cooperative observer network
Department of Defense networks
NEXRAD locations

Historical meteorological data
NWS surface data (Integrated Surface Hourly database) from 1999 to 2002
RAWS over the WRAP region for use in the dust analysis (2000-2003)
Gridded monthly precipitation for US from PRISM model
NOAA/NESDIS 24-hour estimated rainfall from radar (1996-2003)
UNISYS surface weather maps from 1996-2002

Climate themes
Climate divisions
National Climatic Data Center Climate Atlas
National Climatic Data Center Stagnation Index

Emissions
WRAP 1996 point, mobile, area sources
EPA 1999 point, mobile, area sources
Canadian point source emissions (1996-2002)
BRAVO study emissions
National Wildfire database 1970-2002 point locations
USDA fire locations from MODIS satellite 2001-2004
BLM fire locations for Alaska
Canadian wildfires 1959-1999
NOAA Satellite Services Division fire locations 2003-2004
Carnegie Mellon ammonia inventory
Sources inferred from landuse/landcover data
Sources inferred from satellite imagery and aerial photos
USGS volcanic eruption locations

Transportation data
Census 2000 streets and railroads
Census 2000 airport locations

Physical and land cover data
USGS digital elevation data at 10m, 30m, 90m, 1km and 10 km resolutions
USGS digital raster graphics at 1:24,000, 1:100,000 and 1:250,000-scales
USGS STATSGO soils
Census Bureau water bodies, rivers, streams
Vegetation from various agencies
USGS physiographic regions

Landuse

National Landcover Dataset 1992
North American Landcover Characteristics database
USGS Landuse Landcover database
Landcover from EPA Clean Air Market Program

Imagery

Landsat 5 imagery circa 1990 for all of US
Landsat 7 imagery circa 2000 for all of US
MODIS for some areas
TOMS aerosol maps from 1996-2003

Class I boundary data
National Park Service GIS boundaries
USGS National Database Federal Lands
US Forest Service boundaries
BLM ownership boundaries
Fish & Wildlife boundaries
Managed Area Database

Political data
Census Bureau 2000 state, county, urban area, and zip codes boundaries
Census Bureau 2000 census blocks and tract boundaries and detailed demographic data
Land ownership from various state agencies
State, federal and tribal land boundaries from various agencies
GNIS database for WRAP and CENRAP regions

Model output
HYSPLIT backtrajectory information from each class I area
EDAS and FNL model output from 2000-2004
Maps from the Naval NAAPS model

International data
Coarse resolution international boundaries
Mexican municipio boundaries
Mexican border highways, cities and villiages
 

We use two PC servers with 500GB RAID5 capacity to store these databases.  These servers are backed up daily on two Networked Attached Storage servers each with a capacity of 1TB.  All of this data is stored at the DRI Southern Nevada Science Center and only accessible from the internal DRI network.  Please contact Dave DuBois for more information.

Last updated 14 November 2004