Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Reid, Jeffrey S.; Hyer, E. J.; Johnson, Randall S.; Holben, B. N.; Yokelson, Robert J.; Zhang, Jianglong; Campbell, James; Christopher, Sundar A.; Girolamo, Larry Di; Giglio, L.; Holz, Robert E.; Kearney, Courtney; Miettinen, Jukka; Reid, Elizabeth A.; Turk, F. Joseph; Wang, Jun; Xian, Peng; Zhao, Guangyu; Balasubramanian, Rajasekhar; Chew, Boon Ning; Janjai, Serm; Lagrosas, Nofel; Lestari, Puji; Lin, Neng Huei; Mahmud, Mastura; Nguyen, Anh-Tuan; Norris, Bethany; Oanh, Nguyen Thi Kim; Oo, M. M.; Salinas, Santo V.; Welton, Ellsworth J.; Liew, Soo Chin

doi:10.1016/j.atmosres.2012.06.005

Cited by 289 publications

(271 citation statements)

References 484 publications

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“…We base the present study on data from the Seven Southeast Asian Studies/Biomass-burning Aerosols & Stratocumulus Environment: Lifecycles and Interactions Experiment (7-SEAS/BASELInE), which was conducted over Southeast Asia during peak biomass burning season (March and April) from 2013 to 2015 (and onwards) (cf. Lin et al, 2013;Reid et al, 2013;Tsay et al, 2013). The frequent smoke aerosols over the study domain and abundant ground-based observations during this field campaign provided a testbed on which the ASHE products can thoroughly be examined over a longer period of time than previous studies.…”

Section: Introductionmentioning

confidence: 93%

Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia

Lee

Hsu

Bettenhausen

et al. 2016

Aerosol Air Qual. Res.

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This study evaluates the height of biomass burning smoke aerosols retrieved from a combined use of Visible Infrared Imaging Radiometer Suite (VIIRS), Ozone Mapping and Profiler Suite (OMPS), and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) observations. The retrieved heights are compared against spaceborne and ground-based lidar measurements during the peak biomass burning season (March and April) over Southeast Asia from 2013 to 2015. Based on the comparison against CALIOP, a quality assurance (QA) procedure is developed. It is found that 74% (81-84%) of the retrieved heights fall within 1 km of CALIOP observations for unfiltered (QA-filtered) data, with root-mean-square error (RMSE) of 1.1 km (0.8-1.0 km). Eliminating the requirement for CALIOP observations from the retrieval process significantly increases the temporal coverage with only a slight decrease in the retrieval accuracy; for best QA data, 64% of data fall within 1 km of CALIOP observations with RMSE of 1.1 km. When compared with Micro-Pulse Lidar Network (MPLNET) measurements deployed at Doi Ang Khang, Thailand, the retrieved heights show RMSE of 1.7 km (1.1 km) for unfiltered (QA-filtered) data for the complete algorithm, and 0.9 km (0.8 km) for the simplified algorithm.

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Section: Introductionmentioning

confidence: 93%

Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia

Lee

Hsu

Bettenhausen

et al. 2016

Aerosol Air Qual. Res.

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“…The picture is further complicated by the biases present in satellite AOD products (e.g. Lary et al, 2009;Hyer et al, 2011;Shi et al, 2012;Reid et al, 2013), the difference in spatial scales of the in-situ point PM 2.5 observations and remote sensing data (several km per pixel) and, finally, the sharp PM 2.5 gradients that can exist in and around cities. presented a comprehensive study for the ten Environmental Protection Agency (EPA) regions across USA using multi-linear regression between the PM 2.5 abundance observed by the EPA monitoring sites and the Moderate Resolution Imaging Spectroradiometer (MODIS), AOD and a set of meteorological parameters.…”

Section: Introductionmentioning

confidence: 99%

Estimating the global abundance of ground level presence of particulate matter (PM2.5)

et al. 2014

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Abstract. With the increasing awareness of the health impacts of particulate matter, there is a growing need to comprehend the spatial and temporal variations of the global abundance of ground level airborne particulate matter with a diameter of 2.5 microns or less (PM 2.5). Here we use a suite of remote sensing and meteorological data products together with groundbased observations of particulate matter from 8,329 measurement sites in 55 countries taken 1997-2014 to train a machinelearning algorithm to estimate the daily distributions of PM 2.5 from 1997 to the present. In this first paper of a series, we present the methodology and global average results from this period and demonstrate that the new PM 2.5 data product can reliably represent global observations of PM 2.5 for epidemiological studies.

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“…The limited remote sensing data that are available is largely qualitative, with both cloud and aerosol retrievals showing great regional diversity across product lines in this near-ubiquitous cloud environment . While higher-frequency meteorological phenomena, such as the Madden-Julian Oscillation and equatorial waves (Reid et al, 2012), as well as orographic and sea breeze effects, are thought to exert significant influence on transport (Mahmud, 2009a, b;Reid et al, 2012;Wang et al, 2013;Xian et al, 2013), there are virtually no in situ observations of the SCS/ES aerosol environment in this critical summer monsoonal season. Cloud processes in regions such as the MC are expected to be sensitive to the presence of aerosol particles (e.g., Sorooshion et al, 2009;Yuan et al, 2011;Lee et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…The region, including the maritime continent, South China Sea/East Sea (SCS/ES), and Sulu Sea, is thought to be highly susceptible to aerosol cloud interactions (Rosenfeld, 1999;Hamid et al, 2001;Yuan et al, 2011). Indeed, around the second half of the boreal summer monsoonal period from August to mid-October, the seasonal dry climate allows biomass burning throughout the maritime continent (MC), particularly in warm El Niño-Southern Oscillation phases (e.g, Nichol, 1998;van der Werf et al, 2004;Field and Shen, 2008;Langner and Siegert, 2009;Field et al, 2009;van der Kaars et al, 2010;Reid et al, 2012Reid et al, , 2013. Climatologically, there exists both anecdotal evidence and some station data suggesting an increase in the number of no-rain days in the Philippines (Cruz et al, 2013), yet perhaps an increase in intense events (Cinco et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Observations of the temporal variability in aerosol properties and their relationships to meteorology in the summer monsoonal South China Sea/East Sea: the scale-dependent role of monsoonal flows, the Madden–Julian Oscillation, tropical cyclones, squall lines and cold pools

Reid¹,

et al. 2015

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Abstract. In a joint NRL/Manila Observatory mission, as part of the Seven SouthEast Asian Studies program (7-SEAS), a 2-week, late September 2011 research cruise in the northern Palawan archipelago was undertaken to observe the nature of southwest monsoonal aerosol particles in the South China Sea/East Sea (SCS/ES) and Sulu Sea region. Previous analyses suggested this region as a receptor for biomass burning from Borneo and Sumatra for boundary layer air entering the monsoonal trough. Anthropogenic pollution and biofuel emissions are also ubiquitous, as is heavy shipping traffic. Here, we provide an overview of the regional environment during the cruise, a time series of key aerosol and meteorological parameters, and their interrelationships. Overall, this cruise provides a narrative of the processes that control regional aerosol loadings and their possible feedbacks with clouds and precipitation. While 2011 was a moderate El Niño-Southern Oscillation (ENSO) La Niña year, higher burning activity and lower precipitation was more typical of neutral conditions. The large-scale aerosol environment was modulated by the Madden-Julian Oscillation (MJO) and its associated tropical cyclone (TC) activity in a manner consistent with the conceptual analysis performedPublished by Copernicus Publications on behalf of the European Geosciences Union. J. S. Reid et al.: Temporal variability in South Chinas Sea aerosol propertiesby Reid et al. (2012). Advancement of the MJO from phase 3 to 6 with accompanying cyclogenesis during the cruise period strengthened flow patterns in the SCS/ES that modulated aerosol life cycle. TC inflow arms of significant convection sometimes span from Sumatra to Luzon, resulting in very low particle concentrations (minimum condensation nuclei CN < 150 cm −3 , non-sea-salt PM 2.5 < 1 µg m −3 ). However, elevated carbon monoxide levels were occasionally observed suggesting passage of polluted air masses whose aerosol particles had been rained out. Conversely, two drier periods occurred with higher aerosol particle concentrations originating from Borneo and Southern Sumatra (CN > 3000 cm −3 and non-sea-salt PM 2.5 10-25 µg m −3 ). These cases corresponded with two different mechanisms of convection suppression: lower free-tropospheric dry-air intrusion from the Indian Ocean, and large-scale TC-induced subsidence. Veering vertical wind shear also resulted in aerosol transport into this region being mainly in the marine boundary layer (MBL), although lower free troposphere transport was possible on the western sides of Sumatra and Borneo. At the hourly time scale, particle concentrations were observed to be modulated by integer factors through convection and associated cold pools. Geostationary satellite observations suggest that convection often takes the form of squall lines, which are bowed up to 500 km across the monsoonal flow and 50 km wide. These squall lines, initiated by cold pools from large thunderstorms and likely sustained by a veering vertical wind shear and aforementioned mid-troposphere dr...

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Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Cited by 289 publications

References 484 publications

Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia

Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia

Estimating the global abundance of ground level presence of particulate matter (PM2.5)

Observations of the temporal variability in aerosol properties and their relationships to meteorology in the summer monsoonal South China Sea/East Sea: the scale-dependent role of monsoonal flows, the Madden–Julian Oscillation, tropical cyclones, squall lines and cold pools

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