Analysis of the relationship between MODIS aerosol optical depth and particulate matter from 2006 to 2008

Tsai, T. C.; Jeng, Yung-Jyh; Chu, D. A.; Chen, Jen‐Ping; Chang, Shuenn-Chin

doi:10.1016/j.atmosenv.2009.10.006

Cited by 115 publications

(84 citation statements)

References 31 publications

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“…Moreover, it is accepted that aerosol vertical distribution and ambient humidity corrections can also improve the correlation between AOD and PM 2.5 (e.g. Kotchenruther et al, 1999;Tsai et al, 2011). In this regard, the simultaneous observation of AOD from the ground along with PM 2.5 , aerosol profiles and other environmental factors (e.g.…”

Section: Comparison With In Situ Pm 25 Measurementsmentioning

confidence: 99%

Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter

et al. 2013

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Abstract. With the increase in economic development over the past thirty years, many large cities in eastern and southwestern China are experiencing increased haze events and atmospheric pollution, causing significant impacts on the regional environment and even climate. However, knowledge on the aerosol physical and chemical properties in heavy haze conditions is still insufficient. In this study, two winter heavy haze events in Beijing that occurred in 2011 and 2012 were selected and investigated by using the ground-based remote sensing measurements. We used a CIMEL CE318 sunsky radiometer to retrieve haze aerosol optical, physical and chemical properties, including aerosol optical depth (AOD), size distribution, complex refractive indices and aerosol fractions identified as black carbon (BC), brown carbon (BrC), mineral dust (DU), ammonium sulfate-like (AS) components and aerosol water content (AW). The retrieval results from a total of five haze days showed that the aerosol loading and properties during the two winter haze events were comparable. Therefore, average heavy haze property parameters were drawn to present a research case for future studies. The average AOD is about 3.0 at 440 nm, and the Ångström exponent is 1.3 from 440 to 870 nm. The fine-mode AOD is 2.8 corresponding to a fine-mode fraction of 0.93. The coarse particles occupied a considerable volume fraction of the bimodal size distribution in winter haze events, with the mean particle radius of 0.21 and 2.9 µm for the fine and coarse modes respectively. The real part of the refractive indices exhibited a relatively flat spectral behavior with an average value of 1.48 from 440 to 1020 nm. The imaginary part showed spectral variation, with the value at 440 nm (about 0.013) higher than the other three wavelengths (about 0.008 at 675 nm). The aerosol composition retrieval results showed that volume fractions of BC, BrC, DU, AS and AW are 1, 2, 49, 15 and 33 %, respectively, on average for the investigated haze events. The preliminary uncertainty estimation and comparison of these remote sensing results with in situ BC and PM 2.5 measurements are also presented in the paper.

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Section: Comparison With In Situ Pm 25 Measurementsmentioning

confidence: 99%

Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter

et al. 2013

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“…Surface-based observations are too sparse to constrain the system, while current satellites are unable to retrieve aerosol concentrations. Instead, satellite retrievals of AOD are used to help constrain modeled AOD and the modeled relationship between AOD and surface-level PM (particulate matter) can then be used to estimate surface-level PM concentrations Liu et al, 2005;van Donkelaar et al, 2006;Schaap et al, 2009;Tsai et al, 2011). This approach is currently limited by the fact that AOD from polar-orbiting satellites produce retrievals only once per day (Kaufman et al, 1997;Diner et al, 2001) and current geostationary satellites lack "multi-spectral" aerosol data (Knapp et al, 2002;.…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

“…Although reasonable agreements between the observed and estimated PM concentrations were shown in Fig. 8, the conversion methods should be further developed in order to more accurately convert AOD to PM 10 (or PM 2.5 ) over East Asia, with the consideration of more factors, such as height of PBL, RH, and presence of dust and BB plumes in the free troposphere Engel-Cox et al, 2004;Liu et al, 2005;van Donkelaar et al, 2006;Choi et al, 2009;Schaap et al, 2009;Tsai et al, 2011).…”

Section: Long-range Transport Of Aerosols From China To Koreamentioning

confidence: 99%

New approach to monitor transboundary particulate pollution over Northeast Asia

et al. 2014

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Abstract.A new approach to more accurately monitor and evaluate transboundary particulate matter (PM) pollution is introduced based on aerosol optical products from Korea's Geostationary Ocean Color Imager (GOCI). The area studied is Northeast Asia (including eastern parts of China, the Korean peninsula and Japan), where GOCI has been monitoring since June 2010. The hourly multi-spectral aerosol optical data that were retrieved from GOCI sensor onboard geostationary satellite COMS (Communication, Ocean, and Meteorology Satellite) through the Yonsei aerosol retrieval algorithm were first presented and used in this study. The GOCI-retrieved aerosol optical data are integrated with estimated aerosol distributions from US EPA Models-3/CMAQ (Community Multi-scale Air Quality) v4.5.1 model simulations via data assimilation technique, thereby making the aerosol data spatially continuous and available even for cloud contamination cells. The assimilated aerosol optical data are utilized to provide quantitative estimates of transboundary PM pollution from China to the Korean peninsula and Japan. For the period of 1 April to 31 May, 2011 this analysis yields estimates that AOD as a proxy for PM 2.5 or PM 10 during long-range transport events increased by 117-265 % compared to background average AOD (aerosol optical depth) at the four AERONET sites in Korea, and average AOD increases of 121 % were found when averaged over the entire Korean peninsula. This paper demonstrates that the use of multi-spectral AOD retrievals from geostationary satellites can improve estimates of transboundary PM pollution. Such data will become more widely available later this decade when new sensors such as the GEMS (Geostationary Environment Monitoring Spectrometer) and GOCI-2 are scheduled to be launched.

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“…Thus, it is appealing to use remote sensing to supplement existing ground measurements where available or to infer ground concentrations of particles where absent. In fact, if at a given location urban aerosols are the dominant source of atmospheric turbidity, one would expect to find a relationship between aerosol optical depth (AOD or τ) and particulate matter (PM), as reported for many locations (e.g., EngelCox et al, 2004;Pelletier et al, 2007;Schaap et al, 2009;Boyouk et al, 2010;Tsai et al, 2011;Estellés et al, 2012). However, such a relationship is modulated by local emissions and meteorological conditions, as well as by the assumptions underlying the retrieval of AOD (e.g., Song et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Satellite Retrievals of Aerosol Optical Depth over a Subtropical Urban Area: The Role of Stratification and Surface Reflectance

Escribano

Gallardo

Rondanelli

et al. 2014

Aerosol Air Qual. Res.

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We explore the relationship between satellite retrievals of aerosol optical depth (AOD) and surface aerosol mass concentrations over a subtropical urban area, namely, Santiago, Chile (33.5°S, 70.6°W, 500 m.a.s.l.). We compare 11 years of AOD from the MODerate resolution Imaging Spectroradiometer (MODIS) with in situ particulate matter mass concentrations (PM). MODIS AOD reaches its maximum in summer and minimum in winter, the opposite of the annual cycle of surface PM. To improve our understanding of the relevant governing processes, we use a simple model that estimates the boundary layer (BL) AOD based on measured PM, relative humidity and BL height (BLH) as well as best estimates of aerosol composition, size distribution, and optical properties. Model results indicate that a weak annual AOD cycle is due to the opposite annual cycles in BLH and PM, which is largely supported by the Aerosol Robotic NETwork (AERONET) data collected in 2001 and 2002 in Santiago. We identify a possible bias linked to the operational estimate of surface reflectance that may lead to a spurious summer maximum in MODIS AOD over Santiago. This misfit in surface reflectance appears to affect not only Santiago but also a significant area of the semi-arid Southern South America. Sensitivity experiments with the simple model indicate an underestimate of simulated AOD as compared to AERONET data. This underestimate points to the possible role of residual aerosol layers in the AOD measured at the surface (not included in the simple model). Cirrus clouds appear not to play a significant role in explaining the MODIS AOD seasonality. The need for improved characterizations of aerosol properties and their temporal and spatial distribution in cities such as Santiago is emphasized.

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Analysis of the relationship between MODIS aerosol optical depth and particulate matter from 2006 to 2008

Cited by 115 publications

References 31 publications

Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter

Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter

New approach to monitor transboundary particulate pollution over Northeast Asia

Satellite Retrievals of Aerosol Optical Depth over a Subtropical Urban Area: The Role of Stratification and Surface Reflectance

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