Site Specific Aerosol Optical Thickness Characteristics over Mysore

Ganesh, K. E.; Umesh, T. K.; Narasimhamurthy, B.

doi:10.4209/aaqr.2008.07.0016

Cited by 12 publications

(4 citation statements)

References 17 publications

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“…Temporal variation of AODs at all wavelengths is investigated for all clear sky days. A factor which gives amount by which FN-AODs differ from AN-AODs called fractional asymmetry factor (AF) and is calculated on monthly and annual basis using formula (Ganesh et al 2008) as follows:…”

Section: Methodsmentioning

confidence: 99%

Atmospheric aerosol characteristics retrieved using ground based solar extinction studies at Mohal in the Kullu valley of northwestern Himalayan region, India

Sharma¹,

Kuniyal

Singh

et al. 2012

J Earth Syst Sci

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Aerosol parameters are measured using a ground-based Multi-wavelength Radiometer (MWR) at Mohal (31.90 • N, 77.11 • E, 1154 m amsl) in the Kullu valley during clear sky days of a seasonal year. The study shows that the values of spectral aerosol optical depths (AODs) at 500 nm and theÅngstrom turbidity coefficient 'β' (a measure of columnar loading in atmosphere) are high (0.41 ± 0.03, 0.27 ± 0.01) in summer, moderate (0.30 ± 0.03, 0.15 ± 0.03) in monsoon, low (0.19 ± 0.02, 0.08 ± 0.01) in winter and lowest (0.18 ± 0.01, 0.07 ± 0.01) in autumn, respectively. TheÅngstrom wavelength exponent 'α' (indicator of the fraction of accumulation-mode particles to coarse-mode particles) has an opposite trend having lowest value (0.64 ± 0.06) in summer, low (0.99 ± 0.10) in monsoon, moderate (1.20 ± 0.15) in winter and highest value (1.52 ± 0.03) in autumn. The annual mean value of AOD at 500 nm, 'α' and 'β' are 0.24 ± 0.01, 1.06 ± 0.09 and 0.14 ± 0.01, respectively. The fractional asymmetry factor is more negative in summer due to enhanced tourists' arrival and also in autumn months due to the monthlong International Kullu Dussehra fair. The AOD values given by MWR and satellite-based moderate resolution imaging spectro-radiometer have good correlation of 0.76, 0.92 and 0.97 on diurnal, monthly and seasonal basis, respectively. The AODs at 500 nm as well as 'β' are found to be highly correlated, while 'α' is found to be strongly anti-correlated with temperature and wind speed suggesting high AODs and turbidity but low concentration of fine particles during hot and windy days. With wind direction, the AOD and 'β' are found to be strongly anti-correlated, while 'α' is strongly correlated.

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Section: Methodsmentioning

confidence: 99%

Atmospheric aerosol characteristics retrieved using ground based solar extinction studies at Mohal in the Kullu valley of northwestern Himalayan region, India

Sharma¹,

Kuniyal

Singh

et al. 2012

J Earth Syst Sci

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“…The optical depth due to Rayleigh scattering is subtracted from the total optical depth to obtain AOD, neglecting the optical depth from other processes such as O 3 and NO 2 absorption species. Additional details of the instrument, data analysis and calibration measurements used in the present study have been published elsewhere (Devara et al, 2001;Morys et al, 2001;Ichoku et al, 2002;Ganesh et al, 2008;Rama Gopal et al, 2015). Real time measurements of the BC aerosol mass concentration have been carried out using an Aethalometer (Magee Scientific Company, Berkley, CA, USA) online monitor with a temporal resolution of 5 min during the study period.…”

Section: Instrumentation and Site Descriptionmentioning

confidence: 98%

Direct radiative forcing properties of atmospheric aerosols over semi-arid region, Anantapur in India

Kalluri

Gugamsetty

Nagireddy

et al. 2016

Science of The Total Environment

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“…The signals from the photodiodes are processed in series. However, with 20 conversions per second, the results can be treated as if the photodiodes were read simultaneously [11].…”

Section: Microtop IImentioning

confidence: 99%

Atmospheric Aerosols Monitoring: Ground and Satellite-Based Instruments

Verma¹,

Prakash²,

Soni³

et al. 2019

Advances in Environmental Monitoring and Assessment

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Aerosols are submicron particles suspended in the atmosphere which affect Earth's energy balance directly by scattering and absorbing the of solar radiation. In addition, they can indirectly affect radiation balance by changing the micro-physical and optical properties of the cloud. The difficulties in accessing the contribution of aerosols to radiative balance are caused partly due to incomplete knowledge of spatiotemporal variabilities in physicochemical and optical properties of aerosols on regional to global scale. Several state-of-the-art instrumentation techniques for ground-based measurements and satellite remote sensing technologies have been developed in past three decades to monitor physicochemical and optical properties of aerosols for a better understanding of radiative balance and feedback mechanisms. Satellite retrievals of moderate resolution imaging spectroradiometer (MODIS), ozone monitoring instrument (OMI), multi-angle imaging spectroradiometer (MISR) are used for this purpose. Ground-based measurements of aerosol properties provide a basis for validation of atmospheric correction procedures and can be used for validation of aerosol models used in atmospheric correction algorithms. This chapter describes in details about the widely used ground-and satellitebased remote sensing instruments for aerosol monitoring.

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Site Specific Aerosol Optical Thickness Characteristics over Mysore

Cited by 12 publications

References 17 publications

Atmospheric aerosol characteristics retrieved using ground based solar extinction studies at Mohal in the Kullu valley of northwestern Himalayan region, India

Atmospheric aerosol characteristics retrieved using ground based solar extinction studies at Mohal in the Kullu valley of northwestern Himalayan region, India

Direct radiative forcing properties of atmospheric aerosols over semi-arid region, Anantapur in India

Atmospheric Aerosols Monitoring: Ground and Satellite-Based Instruments

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