Aerosol radiative forcing controls: Results from an Indian table-top mining region

Latha, R.; Murthy, B. S.; Kumar, Manoj; Lipi, Kumari; Jyotsna, S.

doi:10.1016/j.atmosenv.2013.09.035

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…Surface temperature is taken as 300°K. Sensitivity of aerosol radiative forcing to changes in typical temperature and moisture profiles (from tropical to mid-latitude winter or summer) mentioned in SBDART is reported to be insignificant (Latha et al, 2013). Exponential decrease of aerosol concentration is assumed.…”

Section: Methodsmentioning

confidence: 99%

“…AOD based on satellite data is also higher over Varanasi in comparison to Ranchi, follows more reduction of incoming solar energy which is directly proportional to AOD. Earlier studies Latha et al, 2013) have shown the importance of SSA, the ratio of scattering coefficient to extinction coefficient, which is crucially affected by absorbing aerosols (mainly BC), in increasing the aerosol radiative forcing. Since BC is higher in Varanasi, effective SSA also may be lower, increasing the effective radiation cutoff.…”

Section: Bc Radiative Forcingmentioning

confidence: 99%

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Absorbing Aerosols, Possible Implication to Crop Yield - A Comparison between IGB Stations

Latha

Murthy

Lipi³

et al. 2017

Aerosol Air Qual. Res.

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The current study compares black carbon radiative effects at the densely populated plain station, Varanasi and the lesser populated plateau station Ranchi with large forest cover but with numerous open coal mines. While the measured average black carbon mass density (BC) reduces from February to March at Ranchi following an increase in convective mixing, it is observed to increase by 150% from February to March in Varanasi, as transport from northeast forest fires increases. It is observed that absorption due to black carbon of non-fossil fuel origin is prevalent throughout the day, in Varanasi, while this contribution is most significant during post sunset hours in Ranchi. Radiative forcing, estimated hourly using chemical model (to derive BC-aod) and radiative transfer model, indicates that at least 5% of the incoming radiation is always cutoff during any time of the day in Varanasi while this is about 4% in Ranchi. BC effectively causes an apparent delayed sunrise by reducing the incoming radiation on the plains of Indo Gangetic Basin (IGB) by up to 25% at the daybreak. An estimate of crop loss due to cut off in radiation, using an empirical formula for crop yield as a function of radiation, indicates a possible loss of more than a quintal per hectare considering anthesis (February) and maturity (March) periods for the winter wheat in both the IGB stations with consistently higher losses in Varanasi.

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Section: Methodsmentioning

confidence: 99%

Section: Bc Radiative Forcingmentioning

confidence: 99%

Absorbing Aerosols, Possible Implication to Crop Yield - A Comparison between IGB Stations

Latha

Murthy

Lipi³

et al. 2017

Aerosol Air Qual. Res.

Self Cite

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“…Aerosols, through scattering and absorption of solar radiation, affect the earth‐atmosphere system directly through various pathways, namely, (1) reduce the incident radiative flux at the surface [ Pathak et al , ; Latha et al , ; Singh et al , ; Stanhill and Cohen, ], (2) heat the atmosphere through absorption by absorbing aerosols [ Sreekanth et al , ], (3) increase photosynthesis by enhancing diffuse radiation and increase transpiration [ Wild et al , ; Wang et al , ], and (4) alter atmospheric stability, surface energy balance, convection and clouds, etc [ Ramanathan and Ramana , ]. Aerosol radiative forcing (RF) is a measure of change in net solar radiative flux (in specific wavelength range; shortwave and longwave) caused by aerosols (net radiation with aerosols − net radiation without aerosols) under clear sky conditions at any level (including at surface/bottom and TOA) in the atmosphere.…”

Section: Results and Analysismentioning

confidence: 99%

“…We compared solar fluxes at surface with that simulated by SBDART. A comparison of simulated and observed hourly fluxes for 4 completely clear sky days representing 1 day in each season exhibits a correlation coefficient of 0.98 with a bias of 7.7 Wm −2 [ Latha et al , ]. Monthly RF is obtained using monthly mean aerosol optical properties in SBDART.…”

Section: Results and Analysismentioning

confidence: 99%

“…Optical properties of BC aerosols can be derived using OPAC [ Hess et al , ] with input of BC concentrations and other meteorological data (relative humidity, mixed‐layer depth). BC mass concentration alone is input into the model as “soot” by ignoring all other components to obtain BC optical properties as described by Latha et al [] while modifying the meteorological parameters suitably. OPAC‐derived AOD BC has certain assumption that it is obtained by neglecting all other components and is limited to respond to particles with radius up to 1000 nm.…”

Section: Observational Data Screening Methodology and Satellite Datamentioning

confidence: 99%

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Temporal variation of “solar dimming” induced by composite and carbonaceous aerosols: Observations from mineral‐rich eastern Indian region

et al. 2014

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Composite and carbonaceous aerosol radiative forcing (RF) over Ranchi (23.5°N, 85.3°E) in eastern India at monthly and seasonal scales during February 2011 to January 2012 is derived from mean optical properties obtained from Sun-sky radiometer and a radiative transfer model. Ranchi is located on the Chotanagpur plateau at 650 m above mean sea level; the region is unique with dense open active mines, a source of mineral aerosols with opposing optical properties such as coal and limestone. Diurnal mean composite aerosol RF at the surface, in the spectral band 0.3-3.0 μm increases from winter (December, January, February) to premonsoon (March, April, May) with maximum (À65 Wm

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Evaluating the variability, transport and periodicity of particulate matter over smart city Bhubaneswar, a tropical coastal station of eastern India

et al. 2019

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Air pollution has become a matter of concern over Indian mega-cities. In the present study, we analyse the variation of particulate matter (PM) (PM 10 and PM 2.5) over Bhubaneswar (20.18°N, 85.50°E, 45 above MSL), which is a coastal Indian station, and the state capital of Odisha. Variation of meteorological parameters (i.e. air temperature, humidity, wind speed, and wind direction) over the station shows low winds originating and transported mainly from land areas during post-monsoon and winter, and from the Bay of Bengal during pre-monsoon and monsoon seasons. The site, in general, has evident diurnal variations of meteorological parameters and PM, other than monsoon season. In addition to surface observations at the site, 48-h back trajectory calculation by HYSPLIT model and the study employs potential source contribution function analysis for precise identification of the transported pollution areas for different seasons.

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Aerosol radiative forcing controls: Results from an Indian table-top mining region

Cited by 7 publications

References 17 publications

Absorbing Aerosols, Possible Implication to Crop Yield - A Comparison between IGB Stations

Absorbing Aerosols, Possible Implication to Crop Yield - A Comparison between IGB Stations

Temporal variation of “solar dimming” induced by composite and carbonaceous aerosols: Observations from mineral‐rich eastern Indian region

Evaluating the variability, transport and periodicity of particulate matter over smart city Bhubaneswar, a tropical coastal station of eastern India

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