Intercomparison between aerosol optical properties by a PREDE skyradiometer and CIMEL sunphotometer over Beijing, China

Che, Huizheng; Shi, Guangyu; Uchiyama, Akihiro; Yamazaki, Akihiro; Chen, H.; Goloub, Philippe; Zhang, X.

doi:10.5194/acp-8-3199-2008

Cited by 102 publications

(98 citation statements)

References 28 publications

(23 reference statements)

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“…These networks have been used to measure direct and diffuse solar radiation and derived aerosol optical properties for the purpose of aerosol radiative forcing studies (Dubovik et al, 2002;Kim et al, 2004). There has been a wealth of research on the optical properties of aerosols above the Jing-Jin-Ji region of China in recent years (Cheng et al, 2008;Che et al, 2008;Fan et al, 2009;Chen et al, 2013;Li et al, 2013;Xia et al, 2013), which has resulted in a comprehensive understanding of the aerosol optical properties of this region (Eck et al, 2005). These researches will help not only to uncover the regional climate effect of aerosol particles and the mechanism of pollution event formation, but also will allow managers to control air quality better in the future.…”

Section: Introductionmentioning

confidence: 99%

“…There are several well-known ground-based aerosol-monitoring networks that use sunphotometers such as the Aerosol Robotic Network-AERONET (Holben et al, 1998), PHOtométrie pour le Traitement Opérationnel de Normalisation Satellitaire (PHOTONS) (Goloub et al, 2008), AEROCAN (Bokoye et al, 2001), China Aerosol Remote Sensing Network (CARSNET) (Che et al, 2009a), and SKYNET network ). These networks have been used to measure direct and diffuse solar radiation and derived aerosol optical properties for the purpose of aerosol radiative forcing studies (Dubovik et al, 2002;Kim et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements

et al. 2014

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Abstract. In January 2013, North China Plain experienced several serious haze events. Cimel sunphotometer measurements at seven sites over rural, suburban and urban regions of North China Plain from 1 to 30 January 2013 were used to further our understanding of spatial-temporal variation of aerosol optical parameters and aerosol radiative forcing (ARF). It was found that Aerosol Optical Depth at 500 nm (AOD 500 nm ) during non-pollution periods at all stations was lower than 0.30 and increased significantly to greater than 1.00 as pollution events developed. The Angstrom exponent (Alpha) was larger than 0.80 for all stations most of the time. AOD 500 nm averages increased from north to south during both polluted and non-polluted periods on the three urban sites in Beijing. The fine mode AOD during pollution periods is about a factor of 2.5 times larger than that during the non-pollution period at urban sites but a factor of 5.0 at suburban and rural sites. The fine mode fraction of AOD 675 nm was higher than 80% for all sites during January 2013. The absorption AOD 675 nm at rural sites was only about 0.01 during pollution periods, while ∼ 0.03-0.07 and 0.01-0.03 during pollution and non-pollution periods at other sites, respectively. Single scattering albedo varied between 0.87 and 0.95 during January 2013 over North China Plain. The size distribution showed an obvious tri-peak pattern during the most serious period. The fine mode effective radius in the pollution period was about 0.01-0.08 µm larger than during nonpollution periods, while the coarse mode radius in pollution periods was about 0.06-0.38 µm less than that during nonpollution periods. The total, fine and coarse mode particle volumes varied by about 0.06-0.34 µm 3 , 0.03-0.23 µm 3 , and 0.03-0.10 µm 3 , respectively, throughout January 2013. During the most intense period (1-16 January), ARF at the surface exceeded −50 W m −2 , −180 W m −2 , and −200 W m −2 at rural, suburban, and urban sites, respectively. The ARF readings at the top of the atmosphere were approximately −30 W m −2 in rural and −40-60 W m −2 in urban areas.Published by Copernicus Publications on behalf of the European Geosciences Union. H. Che et al.: Column aerosol optical properties and aerosol radiative forcingPositive ARF at the top of the atmosphere at the Huimin suburban site was found to be different from others as a result of the high surface albedo due to snow cover.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements

et al. 2014

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“…It reflects the presence of large particles which are probably the residue of a dust event or the production of incomplete combustion. The bi-mode size distribution which we have observed is frequently found in the pollution case in Beijing city [9][10][11]. The corresponding AOD was 1.38, Angstrom exponent 1.08, LIDAR ratio 53.8sr and TDR 6.6%.…”

Section: Resultsmentioning

confidence: 79%

Aerosol Observation with Raman LIDAR in Beijing, China

Xie¹,

Zhou²,

Sugimoto³

et al. 2010

Journal of the Optical Society of Korea

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Aerosol observation with Raman LIDAR in NIES (National Institute for Environmental Studies, Japan) LIDAR network was conducted from 17 April to 12 June 2008 over Beijing, China. The aerosol optical properties derived from Raman LIDAR were compared with the retrieved data from sun photometer and sky radiometer observations in the Aerosol Robotic Network (AERONET). The comparison provided the complete knowledge of aerosol optical and physical properties in Beijing, especially in pollution and Asian dust events. The averaged aerosol optical depth (AOD) at 675 nm was 0.81 and the Angstrom exponent between 440 nm and 675 nm was 0.99 during experiment. The LIDAR derived AOD at 532 nm in the planetary boundary layer (PBL) was 0.48, which implied that half of the total AOD was contributed by the aerosol in PBL. The corresponding averaged LIDAR ratio and total depolarization ratio (TDR) were 48.5sr and 8.1%. The negative correlation between LIDAR ratio and TDR indicated the LIDAR ratio decreased with aerosol size because of the high TDR associated with nonspherical and large aerosols. The typical volume size distribution of the aerosol clearly demonstrated that the coarse mode radius located near 3 μm in dust case, a bi-mode with fine particle centered at 0.2 μm and coarse particle at 2 μm was the characteristic size distribution in the pollution and clean cases. The different size distributions of aerosol resulted in its different optical properties. The retrieved LIDAR ratio and TDR were 41.1sr and 19.5% for a dust event, 53.8sr and 6.6% for a pollution event as well as 57.3sr and 7.2% for a clean event.In conjunction with the observed surface wind field near the LIDAR site, most of the pollution aerosols were produced locally or transported from the southeast of Beijing, whereas the dust aerosols associated with the clean air mass were transported by the northwesterly or southwesterly winds.

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“…Estellés et al (2012) have compared columnar volume size distribution by SKYRAD and AERONET and found that on an average they differ by about 13 % for particle radius between 0.15 to 5 µm. Che et al (2008) have compared AOD and single scattering albedo (SSA) from Prede (SKYRAD) and CIMEL sun-photometer (AERONET) over Beijing, China and found that AODs between two instruments differed by less than 1.3 % and SSA differed by less than 4 %.…”

Section: Sky-radiometermentioning

confidence: 99%

Role of Coarse and Fine Mode Aerosols in MODIS AOD Retrieval: a case study over southern India

et al. 2014

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Abstract. In the present study we compare the MODIS (Moderate Resolution Imaging Spectroradiometer) derived aerosol optical depth (AOD) data with that obtained from operating sky-radiometer at a remote rural location in southern India (Gadanki, 13.45 • N, 79.18 • E) from April 2008 to March 2011. While the comparison between total (coarse mode + fine mode) AODs shows correlation coefficient (R) value of about 0.71 for Terra and 0.77 for Aqua, if one separates the AOD into fine and coarse mode, the comparison becomes very poor, particularly for fine mode with an R value of 0.44 for both Terra and Aqua. The coarse mode AOD derived from MODIS and sky-radiometer compare better with an R value of 0.74 for Terra and 0.66 for Aqua. The seasonal variation is also well captured by both ground-based and satellite measurements. It is shown that both the total AOD and fine mode AOD are significantly underestimated with slope of regression line 0.75 and 0.35 respectively, whereas the coarse mode AOD is overestimated with a slope value of 1.28 for Terra. Similar results are found for Aqua where the slope of the regression line for total AOD and fine mode AOD are 0.72 and 0.27 whereas 0.95 for coarse mode. The fine mode fraction derived from MODIS data is less than one-half of that derived from the sky-radiometer data. Based on these observations and comparison of single scattering albedo observed using sky-radiometer with that of MODIS aerosol models, we argue that the selection of aerosol types used in the MODIS retrieval algorithm may not be appropriate particularly in the case of southern India. Instead of selecting a moderately absorbing aerosol model (as being done currently in the MODIS retrieval) a more absorbing aerosol model could be a better fit for the fine mode aerosols, while reverse is true for the coarse mode aerosols, where instead of using "dust aerosols" which is relatively absorbing type, usage of coarse sea-salt particles which is less absorbing is more appropriate. However, not all the differences could be accounted based on aerosol model, other factors like errors in retrieval of surface reflectance may also be significant in causing underestimation of AOD by MODIS.

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Intercomparison between aerosol optical properties by a PREDE skyradiometer and CIMEL sunphotometer over Beijing, China

Cited by 102 publications

References 28 publications

Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements

Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements

Aerosol Observation with Raman LIDAR in Beijing, China

Role of Coarse and Fine Mode Aerosols in MODIS AOD Retrieval: a case study over southern India

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