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Regional to micro-scale spatiotempor...

Sullivan, Ryan Christopher.

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Regional to micro-scale spatiotemporal variability of atmospheric aerosol particles from satellite, fixed, and mobile measurements.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Regional to micro-scale spatiotemporal variability of atmospheric aerosol particles from satellite, fixed, and mobile measurements./
Author:	Sullivan, Ryan Christopher.
Description:	120 p.
Notes:	Source: Masters Abstracts International, Volume: 53-03.
Contained By:	Masters Abstracts International53-03(E).
Subject:	Atmospheric sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1557862
ISBN:	9781303962271

Regional to micro-scale spatiotemporal variability of atmospheric aerosol particles from satellite, fixed, and mobile measurements.
Sullivan, Ryan Christopher.

Regional to micro-scale spatiotemporal variability of atmospheric aerosol particles from satellite, fixed, and mobile measurements. - 120 p.

Source: Masters Abstracts International, Volume: 53-03.

Thesis (M.S.)--Indiana University, 2014.

This item is not available from ProQuest Dissertations & Theses.

Atmospheric aerosol particles pose a significant threat to public health and are responsible for both direct and indirect climate forcing. Due to limited in situ observations and the high spatiotemporal variability in particle size distributions, composition, and concentrations, the radiative forcing from particles is a major source of uncertainty in understanding climate change and climate modeling, and public exposure to elevated particle concentrations is poorly represented in epidemiological studies. The multi-scale analyses presented here are designed to improve understanding of the causes and scales of variability in aerosol particle concentrations.

ISBN: 9781303962271Subjects--Topical Terms:

3168354
Atmospheric sciences.

Regional to micro-scale spatiotemporal variability of atmospheric aerosol particles from satellite, fixed, and mobile measurements.
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100 1 $a Sullivan, Ryan Christopher. $3 3277434
245 1 0 $a Regional to micro-scale spatiotemporal variability of atmospheric aerosol particles from satellite, fixed, and mobile measurements.
300 $a 120 p.
500 $a Source: Masters Abstracts International, Volume: 53-03.
500 $a Adviser: Sara C. Pryor.
502 $a Thesis (M.S.)--Indiana University, 2014.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Atmospheric aerosol particles pose a significant threat to public health and are responsible for both direct and indirect climate forcing. Due to limited in situ observations and the high spatiotemporal variability in particle size distributions, composition, and concentrations, the radiative forcing from particles is a major source of uncertainty in understanding climate change and climate modeling, and public exposure to elevated particle concentrations is poorly represented in epidemiological studies. The multi-scale analyses presented here are designed to improve understanding of the causes and scales of variability in aerosol particle concentrations.
520 $a The first analysis uses high temporal resolution measurements at four fixed sites and mobile measurements to quantify spatiotemporal variability of fine particles in Indianapolis, Indiana. Temporal variability of PM 2.5 concentrations is examined and used to differentiate meteorological and anthropogenic controls on particle concentrations. Mobile measurements demonstrate that intra-urban variability of PM2.5 concentrations on neighborhood scales is of the same magnitude as rural-urban differences and extreme PM2.5 concentrations typically occur on scales of a few hundred meters up to 2 km.
520 $a In the second analysis satellite-based measurements of daily aerosol optical depth (AOD) and Angstrom exponent (A, &prop; particle size) are used to develop a climatology of total column particle loading, and examine the spatial and temporal scales of particle variability in order to diagnose controls on these climate relevant properties. AOD is maximized in summer, indicating the greatest climate forcing (net cooling) during the warm season, and is coherent on larger spatial scales than A.
590 $a School code: 0093.
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650 4 $a Atmospheric chemistry. $3 544140
650 4 $a Meteorology. $3 542822
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710 2 $a Indiana University. $b Geological Sciences. $3 3168413
773 0 $t Masters Abstracts International $g 53-03(E).
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