Impacts of climate warming on atmospheric phase transition mechanisms

Varotsos, C.; Ghosh, S.

doi:10.1007/s00704-016-1951-2

Cited by 12 publications

(2 citation statements)

References 34 publications

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“…We use a sophisticated Lagrangian CPM with an explicit microphysical module allowing for the growth of aerosol solution droplets through water vapour condensation resulting in a size-resolved droplet spectrum (O'Dowd et al 1999;Pruppacher and Klett 1998). Both the curvature and the solution effects are included in the model along with corrections for the continuum approximation close to the droplet surface (Ghosh et al 2018;Varotsos and Ghosh 2017;Kolb et al 2010;Ghosh et al 2007;O'Dowd et al 1999). The CPM model runs have been initialised with temperature, pressure and relative humidity values below the cloud base and the vertical updraft velocity field.…”

Section: Modelling Aerosol Processing In a Multi-component Domainmentioning

confidence: 99%

On the microphysical processing of aged combustion aerosols impacting warm rain microphysics over Asian megacities

Gumber

Ghosh

Orr

et al. 2019

Theor Appl Climatol

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This paper delineates the process of activation of soot or black carbon particles into cloud droplets over Chennai, India (an Asian megacity). Archaic wood-fired cooking stove emissions from crowded shantytown settlements dispense copious amounts of carbonaceous particles into the city's atmosphere during morning and evening cooking periods. Traffic emissions also add considerably to the city's particulate matter loads. At other times, when these sources are reduced (e.g. during non-cooking periods), a pall of residual pollution hovers above the city. This study assesses this problem definitively through process modelling studies undertaken during a typical pre-monsoonal month (October) when the levels of pollution are very high. The novelty of this paper includes a clear quantification of the percentage of activated nuclei resulting from these sources using a sophisticated cloud chemical parcel model. The results show that 85% of the soot and black carbon particles are activated into very small low-lying cloud droplets within Chennai's boundary layer. We further show for the first time that the presence of these particles results in a slowing down of the auto-conversion process (cloud water to rain droplets). This study could serve as a pointer for other Asian Cities with a sizeable shantytown population in India and elsewhere.

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Section: Modelling Aerosol Processing In a Multi-component Domainmentioning

confidence: 99%

On the microphysical processing of aged combustion aerosols impacting warm rain microphysics over Asian megacities

Gumber

Ghosh

Orr

et al. 2019

Theor Appl Climatol

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“…Aerosol Optical Depth (AOD) is the vertical integral of the aerosol extinction coefficient from the ground to the top of the atmosphere, and it describes the effect of aerosol on light reduction (Michalsky et al, 2009). It is one of the most important parameters in atmospheric aerosol and aerosol remote sensing research (Andreae et al, 2005;Kolmonen et al, 2015;Varotsos and Ghosh, 2017). AOD also plays an important role in many aerosol-related fields, such as aerosol radiative forcing, atmospheric correction of remote sensing images, and monitoring of air quality (Kong et al, 2016;Ma et al, 2016;Mbienda et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Validation of Aerosol Products From Esa/Aatsr Over China and Aod Fusion Based on Uncertainties

Wen

Jin

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Aerosols play an important role in climate changes and environmental changes as well as on human health. ADV v3.11, ORAC v4.10, and SU v4.32 was three new versions of Advanced Along-Track Scanning Radiometer (AATSR) aerosol datasets which are published on Climate Change Initiative (CCI). In order to evaluate the accuracy of three AATSR aerosol optical depth (AOD) datasets, and to improve the spatial coverage and accuracy of AATSR AOD dataset, this study completed two works: the first part is validated the accuracy of three AOD datasets; the second part is fused three AATSR AOD datasets based on uncertainty of each dataset. After comparing with AERONET and CARSNET ground-based data over China, results show that the root-mean-square error (RMSE) for ADV v3.11, ORAC v4.10, SU v4.32 and fused AOD are 0.22, 0.17, 0.18, 0.17 respectively.

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On the importance of non-ideal sulphate processing of multi-component aerosol haze over urban areas

Gumber

Ghosh

Bera

et al. 2022

Meteorol Atmos Phys

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Impacts of climate warming on atmospheric phase transition mechanisms

Cited by 12 publications

References 34 publications

On the microphysical processing of aged combustion aerosols impacting warm rain microphysics over Asian megacities

On the microphysical processing of aged combustion aerosols impacting warm rain microphysics over Asian megacities

Validation of Aerosol Products From Esa/Aatsr Over China and Aod Fusion Based on Uncertainties

On the importance of non-ideal sulphate processing of multi-component aerosol haze over urban areas

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