2020
DOI: 10.5194/acp-20-7307-2020
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Cloud condensation nuclei characteristics during the Indian summer monsoon over a rain-shadow region

Abstract: Abstract. Continuous aerosol and cloud condensation nuclei (CCN) measurements carried out at the ground observational facility situated in the rain-shadow region of the Indian subcontinent are illustrated. These observations were part of the Cloud Aerosol Interaction Precipitation Enhancement Experiment (CAIPEEX) during the Indian summer monsoon season (June to September) of 2018. Observations are classified as dry–continental (monsoon break) and wet–marine (monsoon active) according to the air mass history. C… Show more

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Cited by 11 publications
(4 citation statements)
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“…Previous studies have suggested that differences in air masses will lead to spatiotemporal differences in CCN activation ability and aerosol optical properties (e.g., Xu et al, 2020;Jayachandran et al, 2020b). To better understand air mass sources and aerosol transport pathways over the measurement area, 72-hour air mass back trajectories for all N CCN profiles at 0.5, 1.5, 2.5, and 3.5 km are analyzed using the NOAA Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model (Stein et al, 2015).…”
Section: Air Mass Sourcesmentioning
confidence: 99%
“…Previous studies have suggested that differences in air masses will lead to spatiotemporal differences in CCN activation ability and aerosol optical properties (e.g., Xu et al, 2020;Jayachandran et al, 2020b). To better understand air mass sources and aerosol transport pathways over the measurement area, 72-hour air mass back trajectories for all N CCN profiles at 0.5, 1.5, 2.5, and 3.5 km are analyzed using the NOAA Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model (Stein et al, 2015).…”
Section: Air Mass Sourcesmentioning
confidence: 99%
“…With a view to furthering the above understanding of the spatial and vertical variation in CCN characteristics and the changes with respect to the monsoon activity, we have examined the CCN spectra (variation of CCN concentration as a function of supersaturation) using the measured data. It is well established that the ability of an aerosol to be CCN is a function of both the hygroscopicity and size distribution of aerosols (Twomey and Wojciechowski, 1969;Hegg et al, 1991;Khain, 2009;Jefferson, 2010). Following Twomey (1959) and Cohard et al (1998), we have parameterized the CCN spectra using a power-law relation.…”
Section: Ccn Spectramentioning
confidence: 99%
“…Lower values of k imply quick activation of CN even at low SS and are generally associated with more hygroscopic and coarse-mode aerosols (such as sea spray). On the other hand, higher values of k mean more activation only at higher SS, typical of less hygroscopic and fine-mode anthropogenic aerosols (Hegg et al, 1991;Jefferson, 2010). The altitude variation of k will have implications for aerosol-cloud interaction through hygroscopicity and size distribution of aerosols (for example, Raga and Jonas, 1995).…”
Section: Ccn Spectramentioning
confidence: 99%
“…Besides the significant difference in spatial, also the temporal variations of aerosol activation characteristics are essential for NCCN prediction (Andreae and Rosenfeld, 2008). Most of the observations lasted 1-2 months or even less; they mainly focused on the effects of short-term weather processes or pollution events on aerosol particle activation, such as the effects of the summer monsoon (Jayachandran et al, 2017(Jayachandran et al, , 2020, wet removal (Croft et al, 2009), NPF events (Dusek et al, 2010;Wu et al, 2015), biomass burning (Rose et al, 2010), and aerosol particle aging as well as oxidation processes (Zhang et al, 2016(Zhang et al, , 2017. The long-term CCN concentration measurements (of at least one full year) are still rarely reported, resulting in insufficient knowledge concerning the seasonal and annual cycles of aerosol particle activation, which are also critical for model predictions and evaluations.…”
Section: Introductionmentioning
confidence: 99%