Aerosols optical properties in dynamic atmosphere in the northwestern part of the Indian Himalaya: A comparative study from ground and satellite based observations

Guleria, Raj Paul; Kuniyal, Jagdish Chandra; Rawat, P. S.; Thakur, Harinder Kumar; Sharma, Manum; Sharma, Nand Lal; Singh, Mahavir; Chand, Kesar; Sharma, Priyanka; Thakur, Ajay Kumar; Dhyani, P. P.; Bhuyan, Pradip Kumar

doi:10.1016/j.atmosres.2011.04.018

Cited by 36 publications

(27 citation statements)

References 66 publications

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“…It is found that air masses originate from five primary pathways, each exhibits with different characteristics within our measurements: (1) air masses originating from Africa‐Arabia‐Middle East, which are rich in coarse‐mode aerosols; (2) air masses from southern Arabian Sea and northern Indian Ocean, featuring a significant maritime component; (3) air masses from IGP, which are mainly composed of anthropogenic aerosols; (4) air masses from BoB and Southeast Asia that are enriched in biomass burning during the dry season; and (5) local air masses dominated by urban‐industrial aerosols. Similar source regions, transport pathways, and aerosol particle properties have been identified by air‐mass trajectories at several locations in India [e.g., Pathak et al , ; Guleria et al , ; Kumar et al , ; Beegum et al , ].…”

Section: Resultsmentioning

confidence: 52%

“…(3) air masses from IGP, which are mainly composed of anthropogenic aerosols; (4) air masses from BoB and Southeast Asia that are enriched in biomass burning during the dry season; and (5) local air masses dominated by urban-industrial aerosols. Similar source regions, transport pathways, and aerosol particle properties have been identified by air-mass trajectories at several locations in India [e.g., Pathak et al, 2012;Guleria et al, 2012;Kumar et al, 2012;Beegum et al, 2012].…”

Section: Aerosol Sources and Transportmentioning

confidence: 56%

“…However, it can vary significantly in the local and regional scales. Systematic measurements have been carried out over several locations namely Dibrugarh (27.3°N, 4.5°E) [ Pathak et al ., ], Minicoy (8.3°N, 73.04°E) [ Vinoj et al ], Nainital (29.23°N, 79.41°E) [ Dumka et al , ], Kathmandu (27.67°N, 85.31°E) [ Ramana et al , ], Kullu Valley (31.9°N, 77.11°E) [ Guleria et al , ], Delhi (28.63°N, 77.17°E) [ Srivastava et al , ], Kanpur (26.47°N, 80.33°E) [ Misra et al , ], Ahmedabad (23.03°N, 72.55°E) [ Ganguly et al , ], Pune (18.53°N, 73.85°E) [ Devara et al , ], Visakhapatnam (17.7°N, 83.3°E) [ Niranjan et al , , ], Bangalore (13.0°N, 77.0°E) [ Babu et al ., ], eastern coastal India and Bay of Bengal [ Moorthy et al , ], and Maldives (5.0°N, 73.5°E) [ Eck et al , ] to examine the aerosol particle properties. Results from these studies reflect the large variation in surface, columnar, and vertical aerosol particle characteristics specific to the region.…”

Section: Introductionmentioning

confidence: 99%

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Seasonal variation of surface and vertical profile of aerosol properties over a tropical urban station Hyderabad, India

et al. 2013

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[1] One year measurement of vertical profiles of volume backscatter and extinction coefficient, aerosol optical depth (AOD), mass concentration of black carbon (BC) and composite aerosol along with thermodynamic structure of the atmosphere has been carried out over an urban tropical location of Hyderabad(17.47 N, 78.58 E), India, during April 2009 to March 2010. The mean mixing layer height (MLH) exhibits large seasonality exceeding 4 km in pre-monsoon period whereas in winter it comes down tõ 1.5 km with an annual mean value of 2.35 AE 1.02 km. Surface BC mass fraction (F BC ) shows marked seasonal variation from winter (13 AE 1.9%), pre-monsoon (8.19 AE 2.16%), monsoon (7.3 AE 1.8%) to post-monsoon (11.8 AE 0.18%). The profiles of volume backscatter and extinction coefficients reveal presence of elevated aerosol layers from 2 to 4 km and strong oscillations during pre-monsoon (March-May) and monsoon (June-September) seasons, respectively, while in post-monsoon (October-November) and winter (December-February), the aerosols are well within the lower boundary layer and also exhibit a drastic decrease with increasing altitude. These elevated aerosol layers and vertical distribution appear to be closely linked to the thermodynamic structure of the atmosphere. The aerosol optical properties in conjunction with air mass back trajectory analysis indicate that the observed elevated aerosol layers during pre-monsoon and monsoon could contain significant fraction of coarse mode particles with a mix of dust and marine aerosols. Further analysis reveals that the aerosols within atmospheric boundary layer (ABL) dominate the column aerosol loading with ABL-AOD contributing tõ 77.7 AE 17.0%, with significant seasonal variation from winter (86.2 AE 13.1%), premonsoon (76.6 AE 12.8%), monsoon (54.2 AE 15.6%) to post monsoon (80.8 AE 14.8%). Seasonal variation of ABL-AOD and BC mass fraction follows similar pattern in the ABL indicating that BC may be an important contributor to the ABL aerosol loading.

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Section: Resultsmentioning

confidence: 52%

Section: Aerosol Sources and Transportmentioning

confidence: 56%

Section: Introductionmentioning

confidence: 99%

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Seasonal variation of surface and vertical profile of aerosol properties over a tropical urban station Hyderabad, India

et al. 2013

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“…from October to June over the northern parts of India. In contrast, the IGP experiences an enhanced convective and turbulent boundary layer and witnesses a large influx of westerly wind driven dust-laden air masses during the premonsoon/summer season (April-June) [20][21] . Figure 3 shows satellite derived mean AOD 550 at 550 nm over three different locations of IGPs i.e.…”

Section: Daily Variability Of Aerosolsmentioning

confidence: 93%

Dynamical characteristics of atmospheric aerosols over IG region

2016

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The dynamical characteristics of atmospheric aerosols over the Indo-Gangetic (IG) region are primarily dependent on the geographical settings and meteorological conditions. Detailed analysis of multi satellite data and ground observations have been carried out over three different cities i.e. Kanpur, Greater Noida and Amritsar during 2010-2013. Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) terra daily global grid product with spatial resolution of 1° × 1° shows the mean AOD at 500 nm wavelength value of 0.73, 0.70 and 0.67 with the standard deviation of 0.43, 0.39 and 0.36 respectively over Amritsar, Greater Noida and Kanpur. Our detailed analysis shows characteristic behavior of aerosols from west to east in the IG region depending upon the proximity of desert regions of Arabia. We have observed large influx of dusts from the Thar desert and Arabia peninsula during pre-monsoon season (April-June), highly affecting Amritsar which is close to the desert region.

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“…Due to larger variations in light scattering caused by changes in fine-mode aerosols (Schuster et al, 2006), the monthly variability of AOD 440 is more intense than that at 936 nm, ranging from as low as ~0.3 (March 2010) to as high as ~1.4 (November 2012). More or less similar pattern of the spectral AOD variation has been found over Delhi (Lodhi et al, 2013), Hyderabad (Sinha et al, 2012), Ahmedabad (Ganguly et al, 2006), Dibrugarh (Gogoi et al, 2009), Kullu valley (Guleria et al, 2011), Varanasi (Tiwari and Singh, 2013), Pune (Dani et al, 2012), Bangalore (Vinoj et al, 2004), among many others.…”

Section: Severe Aerosol Loading Over Greater Noidamentioning

confidence: 95%

Seasonal Variability of Atmospheric Aerosol Parameters over Greater Noida Using Ground Sunphotometer Observations

Sharma

Kaskaoutis

Singh

et al. 2014

Aerosol Air Qual. Res.

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Atmospheric aerosols over northern India are subject of significant temporal and spatial variability and many studies have been carried out to investigate their physico-chemical and optical properties. The present work emphasizes on examining the aerosol optical properties and types over Greater Noida, Delhi region, using ground-based sun photometer data during the period 2010-2012. The analysis reveals a relatively high mean aerosol optical depth at 500 nm (AOD 500 = 0.82 ± 0.39), associated with a moderate Angstrom exponent α 440-870 of 0.95 ± 0.37. Both parameters, exhibit significant daily, monthly and seasonal variability with higher values of AOD 500 during post-monsoon (0.98 ± 0.50) and winter (0.87 ± 0.35) seasons associated with high α values (> 1.1) suggesting significant urban and biomass-burning contribution. On monthly basis, the highest AOD is found during July and November and the lowest one in the transition months of March and September. The aerosol-type discrimination via the relationship AOD vs. α shows a clear dominance of urban/industrial and biomass-burning aerosols during post-monsoon and winter in fractions of 74.5% and 72%, respectively, while aerosols of desert-dust characteristics were most frequent in pre-monsoon (41.7%) and monsoon (21%) seasons. In general, the analysis shows a rather well-mixed aerosol type under very turbid atmosphere, which is associated with the long range transport of pollutants through the westerly winds from the Thar desert and biomass burning in the western parts of India.

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Aerosols optical properties in dynamic atmosphere in the northwestern part of the Indian Himalaya: A comparative study from ground and satellite based observations

Cited by 36 publications

References 66 publications

Seasonal variation of surface and vertical profile of aerosol properties over a tropical urban station Hyderabad, India

Seasonal variation of surface and vertical profile of aerosol properties over a tropical urban station Hyderabad, India

Dynamical characteristics of atmospheric aerosols over IG region

Seasonal Variability of Atmospheric Aerosol Parameters over Greater Noida Using Ground Sunphotometer Observations

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