Eastern US Fine Mass Maps

by Stefan Falke stefan@capita.wustl.edu '


Description and illustration of reconstructed eastern U.S. fine mass maps using visibily and AIRS PM10 data as surrogates.


Contents:


Derived from IMPROVE/NESCAUM

Description of Process
The seasonal fine mass data from the IMPROVE/NESCAUM network was gridded. The squares shown on the maps designate the site locations and are proportional to the averaged quarterly concentration value for the site.

Fine Mass Concentrations
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Derived from IMPROVE/NESCAUM and nonurban AIRS PM2.5

Description of Process
The fine mass concentration data from the IMPROVE/NESCAUM network was augmented with nonurban fine mass sites obtained from the AIRS network. {Insert procedure for determination of the AIRS PM2.5 site selection}

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Derived from IMPROVE/NESCAUM and Visibility Data

Description of Process
These maps use fine mass concentrations from the IMPROVE/NESCAUM network as a base. Visibility extinction coefficient (Bext) data is used as a surrogate to enhance the map's resolution.
  1. The locations in the IMPROVE/NESCAUM Fine Mass data table were used to extract data from the gridded Bext data set.
  2. A ratio, Bext/FineMass, was calculated for each of the locations.
  3. The ratio was gridded.
  4. The Bext grid was divided by the Bext/FineMass grid for a resulting reconstructed Fine Mass grid. (Bext*FineMass/Bext=FineMass)

Quarter 1 Quarter 2 Quarter 3 Quarter 4

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NonUrban PM2.5 to NonUrban AIRS PM10 Ratio

Description of Process

Quarter 1 Quarter 2 Quarter 3 Quarter 4

Map derived from IMPROVE/NESCAUM, NonUrban AIRS PM2.5, and Visibility Data

Description of Process
These maps use fine mass concentrations from the IMPROVE/NESCAUM network and nonurban PM2.5 data from the AIRS network as a base. Visibility extinction coefficient (Bext) data is used as a surrogate to enhance the map's resolution.
  1. The locations in the IMPROVE/NESCAUM/AIRS PM2.5 Fine Mass data table were used to extract data from the gridded PM10 data set.
  2. A ratio, Bext/FineMass, was calculated for each of the locations.
  3. The ratio was gridded.
  4. The Bext grid was divided by the Bext/FineMass grid for a resulting reconstructed Fine Mass grid. (Bext*FineMass/Bext=FineMass)

Quarter 1 Quarter 2 Quarter 3 Quarter 4

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Map derived from IMPROVE/NESCAUM, NonUrban AIRS PM2.5, and NonUrban PM10 Data

Description of Process
These maps use fine mass concentrations from the IMPROVE/NESCAUM network and nonurban PM2.5 data from the AIRS network as a base. Nonurban AIRS PM10 data is used as a surrogate to enhance the map's resolution.

  1. The locations in the IMPROVE/NESCAUM/AIRS PM2.5 Fine Mass data table were used to extract data from the gridded PM10 data set.
  2. A ratio, FineMass/NonUrbanPM10, was calculated for each of the locations.
  3. The ratio was gridded.
  4. The PM10 grid was multiplied by the FineMass/NonUrbanPM10 grid for a resulting reconstructed Fine Mass grid.

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Difference between maps 6 and 5

Description of Process
The map of derived fine mass via the Visibility data surrogate was subtracted from that obtained by the PM10 surrogate for purposes of comparision.

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Ratio of maps 6 and 5

Description of Process
The map of derived fine mass via the PM10 surrogate was divided by that obtained by the Visibility data surrogate for purposes of comparision.

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Total PM2.5 to Total AIRS PM10 Ratio

Description of Process

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Map derived from IMPROVE/NESCAUM, Total AIRS PM2.5, Total AIRS PM10

Description of Process

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Difference between Regional with Urban map and Regional map

Description of Process
The map obtained from the derivation involving the nonurban AIRS PM10 surrogate was subtracted from the resulting map derived from the Total surrogate process to produce an urban excess map.

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