Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions

As part of the Seven Southeast Asian Studies (7SEAS) program, an Aerosol Robotic Network (AERONET) sun photometer and a Micro-Pulse Lidar Network (MPLNET) instrument have been deployed at Singapore to study the regional aerosol environment of the Maritime Continent (MC). In addition, the Navy Aeroso...

Full description

Bibliographic Details
Main Authors: Welton, Ellsworth J., Hyer, Edward J., Campbell, James, Chew, Boo Ning, Salinas, Santo V., Reid, Jeffrey S., Holben, Brent N., Liew, Soo Chin
Format: Other/Unknown Material
Language:unknown
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/2060/20170005837
id ftnasantrs:oai:casi.ntrs.nasa.gov:20170005837
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20170005837 2023-05-15T13:06:12+02:00 Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions Welton, Ellsworth J. Hyer, Edward J. Campbell, James Chew, Boo Ning Salinas, Santo V. Reid, Jeffrey S. Holben, Brent N. Liew, Soo Chin Unclassified, Unlimited, Publicly available November 2016 application/pdf http://hdl.handle.net/2060/20170005837 unknown Document ID: 20170005837 http://hdl.handle.net/2060/20170005837 Copyright, Distribution as joint owner in the copyright CASI Environment Pollution GSFC-E-DAA-TN43614 Aerosol and Air Quality Research (ISSN 1680-8584) (e-ISSN 2071-1409); 16; 11; 2818-2830 2016 ftnasantrs 2019-07-20T23:31:24Z As part of the Seven Southeast Asian Studies (7SEAS) program, an Aerosol Robotic Network (AERONET) sun photometer and a Micro-Pulse Lidar Network (MPLNET) instrument have been deployed at Singapore to study the regional aerosol environment of the Maritime Continent (MC). In addition, the Navy Aerosol Analysis and Prediction System (NAAPS) is used to model aerosol transport over the region. From 24 September 2009 to 31 March 2011, the relationships between ground-, satellite- and model-based aerosol optical depth (AOD) and particulate matter with aerodynamic equivalent diameters less than 2.5 microns (PM2.5) for air quality applications are investigated. When MPLNET-derived aerosol scale heights are applied to normalize AOD for comparison with surface PM2.5 data, the empirical relationships are shown to improve with an increased 11%, 10% and 5% in explained variances, for AERONET, MODIS and NAAPS respectively. The ratios of root mean square errors to standard deviations for the relationships also show corresponding improvements of 8%, 6% and 2%. Aerosol scale heights are observed to be bimodal with a mode below and another above the strongly-capped/deep near-surface layer (SCD; 0-1.35 km). Aerosol extinctions within the SCD layer are well-correlated with surface PM2.5 concentrations, possibly due to strong vertical mixing in the region. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Environment Pollution
spellingShingle Environment Pollution
Welton, Ellsworth J.
Hyer, Edward J.
Campbell, James
Chew, Boo Ning
Salinas, Santo V.
Reid, Jeffrey S.
Holben, Brent N.
Liew, Soo Chin
Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions
topic_facet Environment Pollution
description As part of the Seven Southeast Asian Studies (7SEAS) program, an Aerosol Robotic Network (AERONET) sun photometer and a Micro-Pulse Lidar Network (MPLNET) instrument have been deployed at Singapore to study the regional aerosol environment of the Maritime Continent (MC). In addition, the Navy Aerosol Analysis and Prediction System (NAAPS) is used to model aerosol transport over the region. From 24 September 2009 to 31 March 2011, the relationships between ground-, satellite- and model-based aerosol optical depth (AOD) and particulate matter with aerodynamic equivalent diameters less than 2.5 microns (PM2.5) for air quality applications are investigated. When MPLNET-derived aerosol scale heights are applied to normalize AOD for comparison with surface PM2.5 data, the empirical relationships are shown to improve with an increased 11%, 10% and 5% in explained variances, for AERONET, MODIS and NAAPS respectively. The ratios of root mean square errors to standard deviations for the relationships also show corresponding improvements of 8%, 6% and 2%. Aerosol scale heights are observed to be bimodal with a mode below and another above the strongly-capped/deep near-surface layer (SCD; 0-1.35 km). Aerosol extinctions within the SCD layer are well-correlated with surface PM2.5 concentrations, possibly due to strong vertical mixing in the region.
format Other/Unknown Material
author Welton, Ellsworth J.
Hyer, Edward J.
Campbell, James
Chew, Boo Ning
Salinas, Santo V.
Reid, Jeffrey S.
Holben, Brent N.
Liew, Soo Chin
author_facet Welton, Ellsworth J.
Hyer, Edward J.
Campbell, James
Chew, Boo Ning
Salinas, Santo V.
Reid, Jeffrey S.
Holben, Brent N.
Liew, Soo Chin
author_sort Welton, Ellsworth J.
title Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions
title_short Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions
title_full Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions
title_fullStr Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions
title_full_unstemmed Relationship Between Aerosol Optical Depth and Particulate Matter Over Singapore: Effects of Aerosol Vertical Distributions
title_sort relationship between aerosol optical depth and particulate matter over singapore: effects of aerosol vertical distributions
publishDate 2016
url http://hdl.handle.net/2060/20170005837
op_coverage Unclassified, Unlimited, Publicly available
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source CASI
op_relation Document ID: 20170005837
http://hdl.handle.net/2060/20170005837
op_rights Copyright, Distribution as joint owner in the copyright
_version_ 1765995989444853760