2.1 Location, measurements, and database

As part of the ground segment of the CAIPEEX IV campaign, aerosol and PBL measurements have been taken since May 2017 at N.B. Navale Sinhgad College of Engineering in Solapur (17.70^∘ N, 75.85^∘ E; ≅490 $\mathrm{m}\mathrm{a}.\mathrm{m}.\mathrm{s}.\mathrm{l}.$), which is at the center of the rain-shadow region. The location is marked as a circle in Fig. 1 and is a semiarid region. The college site is 12 km away from Solapur, and the aerosol sampling laboratory is on the top (third) floor of the building, away from all local activities in the rural setting. Even though the sampling site is well isolated from the urban contamination, Solapur consists of numerous sugar and textile industries emissions, apart from the seasonal emissions from agricultural activities.

Details of instrumentation and data used for the present study are illustrated in Table 1. Aerosol sampling was carried out through separate PM_2.5 inlets, from about 2 m above the rooftop, connected with conductive tubing. CCN concentrations were measured at every second, using a continuous-flow streamwise temperature gradient CCN counter (CCN-100, DMT; Roberts and Nenes, 2005). Initially (June 2018) CCN were measured at five SSs (0.2 %, 0.4 %, 0.6 %, 0.8 %, and 1.0 %), and in July the CCN counter was calibrated again and the SS was set at 0.3 %, 0.5 %, 0.8 %, and 1.2 %. Calibrations were carried out both before and after the experiments using ammonium sulfate APs following Rose et al. (2008). The instrument was also factory calibrated before the campaign. During the calibration experiments, CCN efficiency spectra were recorded for different ΔT values. The activation diameter corresponding to 50 % CCN efficiency for each spectrum was taken as the critical dry diameter for the CCN activation of ammonium sulfate particles. The corresponding critical supersaturation was calculated with the activity parameterization Köhler model (AP3) mentioned in Rose et al. (2008). The calculated critical supersaturation was taken as the effective supersaturation at the given ΔT value.

Table 1Details of aerosol measurements used in the current study.

Download Print Version | Download XLSX

The CCN counter uses the fundamental principle of the difference in the diffusion rate of heat and water vapor. A fixed temperature gradient is maintained along the walls of the wetted cylindrical column inside the instrument in which the desired SS is generated depending on the temperature gradient and the flow rate. The APs are fed at a constant sheath to sample flow of (10:1) along the center line of the column, and the total flow rate was maintained at 500 vccm. The details of the working principle of the instrument are available in Roberts and Nenes (2005) and Lance et al. (2006). During June, each SS was maintained for 5 min, except for 0.2 % which was for 10 min. About 2 min of data during the SS transition was discarded to avoid the uncertainty in establishing the required SS during the transition. At 0.2 % SS (lowest set SS), about 4 min of initial data was discarded. Except for June, all the SSs were set for 7 min each, except for 0.3 % SS, which was maintained for 9 min. Here also, the initial 3–4 min of data were discarded to ensure the set SS conditions. Thus, one cycle of the complete set of SS took 30 min, and the cycle was repeated. APs were continuously exposed to the SS inside the column, and those having their critical SS less than that of the set SS inside the column were activated as liquid droplets and counted by the optical particle counter operated by a laser diode at 660 nm at the exit of the column. Since the CCN concentrations have always been less than 6000 cm⁻³, correction for water vapor depletion inside the column as suggested by Lathem and Nenes (2011) was not applied.

Size-segregated aerosol number concentration (NSD) from about 15 nm to about 685 nm, distributed among 107 size bins, was measured every 3 min using a scanning mobility particle sizer (SMPS; TSI Incorporated, model 3082). The setup consists of an electrostatic classifier, including a long differential mobility analyzer (LDMA; TSI Incorporated, model no. 3081), and a butanol-based condensation particle counter (CPC; TSI Incorporated, model no. 3772). Before entering the LDMA the APs are charged to a known charge distribution by a bipolar charger in the electrostatic classifier, and the charged APs were size segregated according to their electrical mobility (Wiedensohler, 1988; Wang and Flagan, 1990) in the DMA. The APs classified according to their sizes were counted by the CPC. The sheath and sample flow were maintained at 0.3 and 3 L min⁻¹, respectively. Multiple charge corrections and diffusion charge corrections were applied to the aerosol NSD data during the data inversion. APs were passed through a diffusion dryer before the classifier to prevent the high-humidity conditions.

Radiation absorption properties of APs at different wavelengths were measured using a dual-spot Aethalometer (AE33; Magee Scientific) at every minute. The Aethalometer operated at a flow rate of 2 LPM and measured the attenuation of light due to the APs deposited on a filter tape (Hansen et al., 1984) at seven different wavelengths – 370, 470, 520, 590, 660, 880, and 950 nm. From this, the absorption coefficient (σ_abs) is estimated from the rate of attenuation, filter spot area, and the flow rate (Weingartener et al., 2003). The new-generation AE33 compensates the loading effect and multiple scattering effects (Arnott et al., 2005) associated with the filter-based optical attenuation techniques (Drinovec et al., 2015).

The wavelength dependence of the absorption coefficient of aerosols is parameterized using the following equation:

where β is a constant and α_abs is the absorption Ångström exponent. The nature of the carbonaceous sources can be inferred from the value of α_abs. Humic-like substance (HULIS) and brown carbon produced from biomass burning have higher absorption at lower wavelength (ultraviolet and blue) regions (Gelencser et al., 2003). Hence, α_abs will be higher (∼2) for biomass-dominant sources, while fossil-fuel-dominant sources will have α_abs close to unity (Kirchstetter et al., 2004).

Ambient weather parameters such as temperature, pressure, wind speed, wind direction, relative humidity, and rainfall were also used in the present study from the automatic weather station (AWS) measurements located at the site. All the instruments operated during CAIPEEX were calibrated periodically, especially before and after the experiments. The uncertainty associated with all the measurement techniques used in the present study is <10 %. All the measurements having different sampling frequencies were averaged to hourly intervals for analysis and interpretation. Air mass pathways were investigated using Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model (Draxler and Rolph, 2014) available from the NOAA ARL READY website.

2.2 Meteorology

The air mass back trajectories for 5 d reaching 50 m above the site were examined using back-trajectory analysis and found that two distinct air masses reached the site during the observation period (1 June to 30 September 2018). These are classified as (a) continental (dry) and (b) marine (wet) and are shown in Fig. 1. Those days on which air masses were over the landmass and within 1 $\mathrm{km}\mathrm{a}.\mathrm{g}.\mathrm{l}.$ for minimum 3 d before reaching the site, and hence having a significant continental influence are segregated as continental, while those from the nearby marine atmosphere are classified as the marine and the corresponding period include the monsoon rainfall period over the site. The continental air mass consistently prevailed over the site during the first week of June (denoted as continental-1) and from 15 to 30 September (denoted as continental-2) of 2018. Marine air mass days consist of 8–12 and 15–31 July (denoted as marine-1) and 1–26 and 28–31 August (denoted as marine-2). Thus, the observations and findings throughout this paper are examined on the basis of this classification. From Fig. 1a it can also be seen that the air mass history for the continental classification is mostly within 1 km above the surface, indicating the chances for the influence of local aerosol sources.

Figure 1Air mass back trajectories with 5 d duration reaching 50 m above the site segregated to (a) continental and (b) marine. The color of the trajectories indicates the altitude of the air mass above ground level (a.g.l.).

The meteorological parameters observed at the site from the AWS measurements during these periods are shown in Fig. 2. Diurnal variation of temperature and relative humidity (RH) are shown in Fig. 2a and b, respectively. The temperature and RH values are distinctively different during continental-1 compared to other periods. Marine-1 and 2 periods experienced low temperatures and high RH throughout the day, while continental-2 had higher temperature and lower RH during noon and afternoon hours. The monthly mean temperature during the study periods of continental-1, marine-1, marine-2, and continental-2 were 29.5±3.6, 25.9±2.6, 25.4±2.8, and $\mathrm{27.1}\pm \mathrm{3.5}{}^{\circ }\mathrm{C}$, respectively. A dry spell existed during the continental-1 days when the maximum hourly mean temperature recorded was $\sim \mathrm{38}{}^{\circ }\mathrm{C}$. The maximum temperature at all the periods was observed at 15:00 and 16:00 Indian standard time (IST), and the lowest temperatures were observed before sunrise of the day. Intermittent rainfall happened during July and August, and a few heavy rainfall events occurred during these months. The aerosol–CCN measurements during heavy rainfall are not included in the analysis for interpretation (missing days in Table 1). From the wind rose diagram (Fig. 2c), it can be noted that the strong winds were blowing mostly from the western and southwestern part of the site during continental-1 and, in a few cases, winds were blowing from the northeasterly direction. Westerly and southwesterly winds were present during marine-1 and 2 conditions (Fig. 2d and e), while on the continental-2 days (Fig. 2f) mostly northeasterly winds were observed.

Figure 2Diurnal variation of (a) temperature and (b) relative humidity along with the standard deviation of the mean values. The wind rose diagrams from the co-located AWS measurements for (c) continental-1, (d) marine-1, (e) marine-2, and (f) continental-2 conditions.

Download

3.1 Overview of aerosol loading

The frequency distribution of BC mass loading and the mean values (and its standard deviation) during the observation days are shown in Fig. 3a with an aim to understand aerosol loading and the influence of anthropogenic activities. The distinct atmospheric conditions and the air mass history are evident in the BC mass loading at the site. Before the onset of monsoon, under the influence of continental air mass, the mean BC values were above 2000 ng m⁻³, which decreased to very low values (∼746 ng m⁻³) during the marine conditions. BC concentration was even higher than 4000 ng m⁻³ during the continental air mass, while in many cases values were almost 100 ng m⁻³ under marine conditions.

Apart from the near-surface measurements, the columnar aerosol optical depth (AOD) is examined using the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Aqua satellite at 550 nm. The AOD observed from MODIS during the continental air mass conditions along with the site (white star) is shown in panels (b) and (c) of Fig. 3. It can be seen that heavy aerosol loading (AOD>0.5) persisted around the rain-shadow regions and the Mumbai coast (northwest of the site) in addition to the high loading over the IGP. After the monsoon rainfall, the aerosol loading has reduced all over India as seen in Fig. 3c. Still, high aerosol loading (AOD>0.4) was observed around the observation site, IGP, and the northern part of the east coast.

Figure 3(a) Frequency distribution of BC mass concentration and its mean values for marine and continental conditions. Aerosol optical depth (AOD) at 550 nm observed from the Moderate Resolution Imaging Spectroradiometer (MODIS) for the (b) continental-1 and (c) continental-2 conditions. The Solapur site is indicated by the star in the spatial AOD maps.

BC can be considered as a proxy for the anthropogenic activities (Myhre et al., 2013; Lelieveld et al., 2019), and the BC loading over Solapur indicates that the anthropogenic influence is predominant during the continental air mass conditions. This observation is in line with the columnar aerosol observation from MODIS. Apart from fossil fuel combustion, biomass burning may also contribute to the carbonaceous APs that prevailed over the site. The fire counts observed from the MODIS (Collection 6 product obtained from https://earthdata.nasa.gov/firms, last access: 23 July 2019) may support this inference, which is given in the Appendix (Fig. A1). The high aerosol loading locations in Fig. 3 are associated with the numerous fire events which can be seen in Fig. A1. From another site in the rain-shadow region closer to the central part of India, namely Nagpur, Kompalli et al. (2014) reported a BC mass of $\sim \mathrm{2000}\mathrm{ng}{\mathrm{m}}^{-\mathrm{3}}$ before the monsoon, which is similar to the present study. From the long-term observations of BC from the northwestern part (Pune) of the current study, Safai et al. (2013) reported a mean BC mass of $\sim \mathrm{1200}\mathrm{ng}{\mathrm{m}}^{-\mathrm{3}}$ during the monsoon period. Both the high surface BC and total column aerosol loading observed before the monsoon indicate the significant anthropogenic influence on the total aerosol loading. The low BC values ($<\mathrm{1000}\mathrm{ng}{\mathrm{m}}^{-\mathrm{3}}$) during the marine conditions at Solapur represent a cleaner atmosphere, while $\sim \mathrm{1500}\mathrm{ng}{\mathrm{m}}^{-\mathrm{3}}$ BC was reported from a coastal location in peninsular India (Babu and Moorthy, 2002) during monsoon. About 50 % reduction (∼10 000 to 6000 ng m⁻³) in BC mass associated with the dominance of fossil fuel sources replacing the biomass during monsoon compared to the premonsoon values was reported by Vaishya et al. (2017) from a heavily polluted IGP site. The low BC loading during the marine conditions over Solapur is due to the wet scavenging of aerosols and the distinct air mass reaching the site, as well as due to the reduced local burning during the active monsoon conditions. The high AOD and BC observations identify Solapur as a polluted continental environment which is cleaner during active monsoon compared to the other periods.

3.2 CCN number concentrations and its variations

The mean CCN concentrations at different SS, known as the CCN–SS spectra, segregated according to the air mass conditions, are shown in Fig. 4. It can be seen that the CCN concentrations at all SS are higher during continental, compared to marine, conditions. The highest CCN concentration is observed during continental-1, which is in line with the surface BC loading and the total columnar aerosol loading. CCN spectra are similar for the marine conditions, except the slight difference at the lowest SS. CCN concentrations before the monsoon ranged from ∼1600 to 3600 cm⁻³ for 0.2 % to 1.0 % SS. Meanwhile, the CCN concentration was only ∼900 cm⁻³ during marine air mass – even at 1.2 % SS. Thus, a clear distinction is seen in the CCN concentrations between the marine and continental air mass conditions within the same ISM period.

The CCN concentration varies with SS, and its parameterization is very important for its applicability in climate models (Khvorostyanov and Curry, 2006). The measured CCN spectra are parameterized by Twomey's empirical fit relationship (Twomey, 1959, 1977), which is widely used due to its simplicity (Cohard et al., 1998) and is given as follows:

where C and k are the empirical fit parameters characterizing the spectra. It should be noted that the empirical fit parameter k is different from the effective hygroscopicity parameter-κ discussed by Petters and Kreidenweis (2007).

More than 90 % of cases in the current observations show a high correlation coefficient (R>0.95) with Twomey's empirical fit, except during continental-2 during which about 65 % of the cases only had high (>0.95) correlation coefficient with Twomey's fit. The spectra having a correlation coefficient of more than 0.95 with the empirical fit are only considered in the present study.

Hygroscopic or bigger particles have flat CCN spectra and low k values, while hydrophobic and ultrafine (UF) mode (<100 nm) APs will have steep CCN spectra and high k values (Hegg et al., 1991; Jefferson, 2010) as those particles need higher SS to activate as CCN. Thus, the empirical fit parameter “k” indicates the nature of the aerosol system towards CCN activation, and “C” indicates the CCN concentrations at 1.0 % SS. Generally, high C and k values are reported for the anthropogenic, while low values are reported for the natural/marine APs (Seinfeld and Pandis, 2016; Andreae, 2009). The highest k value (∼0.67) is observed during marine-2 and the minimum (∼0.52) during continental-1. As may be noted, bigger or hygroscopic (or both) particles which are CCN active were abundant during continental-1 compared to the marine conditions when fine or hydrophobic (or both) particles were predominant.

Figure 4Mean CCN concentrations (± SD) for different SS during continental and marine conditions. The power law fit k value of each spectrum is also given.

Download

CCN concentrations and the k values reported during the current study, along with a few other studies, are given in Table 2. Generally, most of the aerosol abundance measurements such as BC mass (Kompalli et al., 2014) and aerosol number concentration (Babu et al., 2016) showed the lowest seasonal mean value during ISM over the Indian region, mainly due to the wet removal of APs. The CCN concentration at semiarid Solapur before the onset of ISM is comparable to the values ($\sim \mathrm{2000}{\mathrm{cm}}^{-\mathrm{3}}$) observed over the arid northwestern region of India reported by Jayachandran et al. (2020). Interestingly, the CCN concentration at Solapur during the active marine conditions is the lowest among the values reported over the Indian subcontinent. The current values (∼350 cm⁻³) are comparable to those reported from Ponmudi (∼400 cm⁻³) at the southern part of the WG, and another site at WG, namely Mahabaleshwar ($\sim \mathrm{500}{\mathrm{cm}}^{-\mathrm{3}}$) at 0.2 % SS. From Table 2, very high values of CCN concentrations are reported from polluted urban environments. Very low CCN concentrations ($<\mathrm{300}{\mathrm{cm}}^{-\mathrm{3}}$ at 1 % SS) are reported from pristine environments like the Amazon (Pöhlker et al., 2016, 2018) and Alps (Juranyi et al., 2011). The mean CCN values observed at Solapur during ISM are comparable to those classified as “polluted marine” by Andreae (2009).

Table 2CCN and aerosol characteristics reported over various locations along with the present results (at 0.3 % SS). CCN reported for Thumba^@ 0.4  and Colorado^# 0.36 % SS, respectively.

Download Print Version | Download XLSX

Generally, an enhancement in k values is observed during the monsoon period, which is seen only during the marine-2 conditions in this study. In all other cases, the k values are comparable. Jayachandran et al. (2017, 2018) reported similar results for the monsoon period both at a coastal site and at a hill station in the WG. From the southern tip of India, Jayachandran et al. (2017) have shown the enhancement of k values (∼0.7) associated with wet scavenging and low k values (∼0.55) during no rainfall conditions within the same ISM period. The enhancement in k values (2 times) associated with the monsoon rainfall can be seen from Mahabaleshwar also (Table 2). Thus, the CCN concentrations at different SS at Solapur during ISM are low compared to those reported from other environments in India, while the CCN spectra show common characteristics to those values reported from WG and peninsular India.

Significant diurnal variations are seen in the PBL AP properties over the Indian subcontinent (Nair et al., 2007). Daytime high and nighttime low aerosol abundance characterized by anomalous high values just after sunrise, known as the fumigation peak (Prakash et al., 1992), is generally observed. This diurnal pattern is mostly due to the evolution of the PBL and due to local emissions (Nair et al., 2007; Kumar et al., 2015). As the CCN activation and its properties are highly heterogeneous, it is very important to know its variation in a day. The diurnal variations of CCN concentration at 0.3 % SS, segregated to air mass, are shown in Fig. 5a and b, respectively. The CCN variations in a day are similar during the marine conditions (Fig. 5a), while it differs before and after the monsoon rainfall. In general, CCN concentrations show a slight enhancement (more prominent during clean background–marine air mass) during daytime due to the anthropogenic activities. A rapid increase is seen just after sunrise in all the conditions, though it is weak in continental-2, due to the mixing of the nocturnal residual layer with the evolving PBL (fumigation peak). There is no vivid diurnal variation in CCN during continental-2. The diurnal variations of CN and BC concentrations for different periods are shown in Fig. 6. The diurnal variation of the CN concentration and BC mass concentration is more vivid than that of the CCN concentration. A clear bimodal variation is seen in both CN and BC diurnal variations during marine conditions. A sharp peak is seen in both CN and BC after sunrise (06:00–07:00 IST) and the next peak starts increasing from 15:00 IST and the maximum is at around 20:00 IST. The diurnal variations in CN and BC are less prominent during the marine, compared to those during the continental conditions. In both the conditions a small increase is seen in the CN concentration around the afternoon. The magnitude of the fumigation peak seen in BC during the continental conditions was more than twice the corresponding daytime average values. Another important observation is that the CN values were consistently higher during continental-2 throughout the day than continental-1, while the daytime BC mass was higher during continental-1 than 2. In contrast to the CCN, the BC had well-defined multiple peaks (morning and evening), indicating the contrasting aerosol source characteristics during the diurnal cycle. The well-mixed conditions during the late afternoon hours and the PBL evolution have a well-defined role in the reduction of concentrations during the daytime until new sources of aerosol are injected in to the atmosphere in the evening hours. The nighttime increase in BC could be due to the stable conditions and less vertical mixing. The role of the PBL in modulating regional aerosol characteristics will be dealt with in a separate study.

Figure 5Diurnal variation of CCN concentrations at 0.3 % SS during (a) marine and (b) continental conditions.

Download

Figure 6Diurnal variations of (a) CN and (b) BC concentrations during marine and continental conditions.

Download

A few studies reported the diurnal variations in CCN and its properties at coastal (Jayachandran et al., 2017), WG (Leena et al., 2016; Jayachandran et al., 2018), IGP (Patidar et al., 2012), central Himalayan (Gogoi et al., 2015), and eastern Himalayan (Roy et al., 2017) environments of the Indian subcontinent. Weak diurnal variations in CCN concentrations during ISM, similar to the present study but with opposite pattern, were reported from the southern coast by Jayachandran et al. (2017) and from WG by Leena et al., (2016). Day–night variations in the CCN concentrations can be due to the changes in aerosol sources, PBL dynamics, or both. Since the sky has generally been overcast during the ISM and hence a shallow moist PBL (Sandeep et al., 2014) prevails, the observed diurnal variations during marine conditions are mainly due to the diurnal variations in the source and sink processes. The bimodal diurnal pattern seen in BC mass concentration at Solapur is seen similar to the observations reported by Safai et al. (2007) over Pune. Apart from the fumigation process happening during sunrise, vehicular and biomass emissions also have a role in the peaks observed in a day. Thus, both local emissions and PBL dynamics contributed to the diurnal variations observed in the AP characteristics. The diurnal variations during the continental conditions indicate the consistently high AP background conditions. While the diurnal variations during the marine conditions indicate the significant presence of local AP sources.

3.3 CCN–CN association

The association of CCN concentration at 0.3 % SS with the concurrent total AP number concentration, CN (∼15–685 nm), is investigated separately for different conditions and is shown in Fig. 7. CCN concentration at 0.3 % during continental-1 is estimated from the measured CCN spectra. The role of the aerosol NSD is revealed through the color of the scatter which represents the geometrical mean diameter (GMD) of the corresponding AP system. It can be inferred from the figure that the relationship between CCN and CN is different for different conditions. A least-square linear fit forced through origin (as there is no CCN in the absence of CN) is made through the scatter.

The best linear relationship between the CCN at 0.3 % and CN concentrations is seen during continental-1, and the corresponding slope and correlation coefficient (R) of the fit are ∼0.56 and 0.98, respectively. The linear association weakens during the marine condition when the slope and correlation coefficient values of the fit reduce to ∼0.12 and 0.90, respectively. Even though under continental conditions the slope of the linear fit during continental-2 (∼0.28) reduces to the half of that measured during continental-1, the correlation coefficient value (R=0.94) also reduces. The relationship between CCN and CN during marine-2 is weaker than the continental, and only a few APs are activating as CCN. It can be seen that most of the scatter points which lie below the linear fit line and correspond to the higher (than the monthly mean) CN values have GMD less than 50 nm. Even though the number of cases is less, similar observations can be seen during the continental case too. The two points (black circle) corresponding to CN concentrations higher than 13 000 cm⁻³ have GMD less than 50 nm. These cases which reduce the CCN activation indicate the presence of a UF mode, probably due to the new particle formation (NPF) events. However, the presence of UF particles is not the only reason for less activation of CN as CCN in marine conditions as the scatter and the linear fit excluding the UF particles also have low correlation and slope values.

Figure 7Association between CCN (at 0.3 % SS) and CN concentrations segregated to (a) continental and (b) marine conditions. The color of the scatter indicates the concurrent geometrical mean diameter of the aerosol system. The least-square linear fit is also shown along with the fit parameters.

Download

During marine-2 (Fig. 7b), the CCN concentration at 0.3 % was not increasing beyond 600 cm⁻³ despite CN concentration increasing to $\sim \mathrm{7500}{\mathrm{cm}}^{-\mathrm{3}}$. This is indicative of a significant number of UF APs that require high SS for activation. Similar behavior of AP system towards CCN activation is observed at the eastern Himalayas (Roy et al., 2017). The drastic difference in CCN–CN association, similar to the present study, is also reported by Asmi et al. (2012) between winter and summer months at a high-altitude site in France. They have attributed the predominance of accumulation mode particles and fine-mode particles during winter and summer months, respectively, to the distinct CCN–CN association. From the central Himalayas, Dumka et al. (2015) have shown an increase in CCN–CN scatter during ISM due to the change in the aerosol physicochemical properties. The spread of the scatter between CN and CCN increased for polluted conditions (Jayachandran et al., 2020), which was attributed to the associated complex aerosol size distribution and mixing state. Thus, the CCN dependence on the CN population during the ISM shows a complex dependence on the aerosol size and mixing state.

3.4 CCN activation fraction

The fraction of APs acting as CCN at a given SS is known as the CCN activation fraction/ratio (AF) and is an important parameter for characterizing the CCN activity (Dusek et al., 2006; Andreae, 2009; Deng et al., 2013). The CCN AF values for all the SS segregated to different air mass history are shown in Fig. 8. During continental-1, more than 40 % of the APs are being activated as CCN at 0.2 % SS. Nevertheless, during marine-2, about 40 % of the particles only are activating as CCN even at 1.2 % SS, revealing the highly CCN inactive nature of the APs. During continental-2, the CCN AF values at all SS are between those of continental-1 and marine-2.

Figure 8Variation of CCN activation fraction at different SS during continental and marine (conditions). Vertical error bars indicate the standard error.

Download

The diurnal variations of k and AF (0.3 % SS) values are shown in Fig. 9. Unlike the continental conditions, the k values show a clear diurnal pattern during the marine conditions, similar to the case of CN and BC concentrations. The k values almost double after sunrise and decrease thereafter to reach the nighttime values by evening hours (16:00 IST) during marine conditions. Again, the k values peak at around 21:00 h IST. The enhancement in CCN and k values during daytime in marine airmass conditions indicates the influence of local anthropogenic aerosol sources in determining the CCN activation. As discussed in Fig. 8, the CCN AF values are very low throughout the day, with a slight increase during noon hours in marine-2 when the k values are low. In contrast, the AF values are consistently high throughout the day during continental-1. During continental-2, an increase in CCN AF (from ∼0.3 to 0.4) can be seen during the daytime.

It is well understood that the CCN characteristics are a function of aerosol size and composition. Hence it will be interesting to know the diurnal variations of the concurrent aerosol size and composition. In the absence of continuous aerosol composition measurements, the absorption Ångström exponent (α_abs), which is a proxy to identify the nature of the carbonaceous aerosols, is estimated, and its diurnal variation for different conditions is shown in Fig. 10a and b. The diurnal variation of the GMD for the corresponding periods is shown in Fig. 10c and d. The diurnal variations of α_abs are similar for the marine conditions, with the values peaking by sunrise (06:00–09:00 IST) and late evening hours (18:00–20:00 IST). Almost the same pattern is seen during continental-2 also but of different magnitudes. Meanwhile, there are no clear diurnal variations in α_abs during continental-1 observations similar to the diurnal variations of k and AF.

Figure 9Diurnal variations of k values (a and b), and CCN activation fraction (c and d), during marine and continental conditions. Vertical bars indicate the standard error values.

Download

Figure 10Diurnal variation of absorption Ångström exponent (a and b) and geometrical mean diameter (c and d) during continental and marine conditions. Error bars indicate the standard error associated with the mean values.

Download

The mean GMD values during the marine conditions decrease from 12:00 IST onwards and reach the minimum value (<60 nm) from 16:00 to 18:00 IST, which increases back to ∼72 nm by the midnight hours. Interestingly, a small dip in the GMD is observed during the fumigation peak (∼07:00 IST), which is associated with the sharp increase in α_abs values. The GMD values were consistently higher throughout the day during continental-1, in that the lowest mean value (∼79 nm) observed at the 14:00 IST is higher than the maximum mean GMD (∼78 nm) observed in a day (03:00 and 04:00 IST) during marine-2. The GMD during continental-2 depicts a clear diurnal variation, which is opposite to that observed during continental-1, with distinct high values during the daytime. Similar to marine-2, GMD decreases during the fumigation peak associated with a sharp increase in the α_abs values.

Even though the mean α_abs values are almost similar in all periods with comparatively higher (1.29±0.09) during continental-1 and lower during marine-2 (1.19±0.14), the values show diurnal variations systematic with aerosol abundance diurnal variations. The sudden sharp increase in the k values (Fig. 9a) during sunrise hours of marine-2 is associated with a similar enhancement in the α_abs values. The high k values (>0.8) during these hours are due to the organic aerosols inferred from α_abs values. Chung et al. (2012) have reported α_abs values above 1.6 for organic aerosols while Gyawali et al. (2009) have reported α_abs values above 1.4 for biomass smoke. The daytime enhancement (∼2 times) in CCN AF during continental-2 is exactly according to the daytime enhancement seen in the aerosol GMD. Interestingly, a similar association is not seen in other periods. Jayachandran et al. (2017) have reported a similar association between CCN AF and aerosol GMD diurnal pattern during ISM from a coastal site in southern peninsular India. Thus, the aerosol composition, especially the organic aerosols inferred from the high α_abs values, is playing a role in determining the CCN activation during the marine conditions, while the aerosol size is determining the CCN activation during the continental conditions.

In general, high AF is found for aged background aerosols, while freshly emitted polluted urban aerosols have low CCN efficiency (Andreae and Rosenfeld, 2008). CCN AF values reported from India and some relevant studies reported across the globe are mentioned in Table 2. The similarity seen in CCN concentration and k values is seen in CCN AF also between Solapur and Ponmudi during the ISM. At both the places, only a small fraction (15 %–20 %) of the ambient APs are activating as CCN at 0.3 % SS. As seen in the Table, high AF values are reported from the coastal location and the central Himalayas. The high CCN AF during the continental conditions at Solapur is similar to those reported during dry conditions in Nainital (Gogoi et al., 2015), where the high CCN AF was attributed to biomass burning. The low CCN AF observed at Solapur during marine conditions resulting from the wet scavenging is consistent with the values reported over the subcontinent during similar conditions, while the high CCN AF before and after monsoon rainfall is observed by several studies to resemble a biomass-burning-dominant polluted environment (Andreae, 2009).

As mentioned earlier and reported by several studies (Dusek et al., 2006; McFiggans et al., 2006), aerosol size plays a major role in determining the CCN activation ability of aerosols. It has been found that the UF particles were present during the monsoon conditions when CCN AF was very low (Fig. 8). Meanwhile, the presence of bigger particles is enhancing the CCN activation in other cases. To investigate the role of aerosol size in the observed CCN activity, the aerosol NSD during each condition is examined in detail.

3.5 Aerosol size distribution and critical activation diameter

The simultaneous and co-located aerosol size distribution observations and critical diameter are examined. The fraction of particles in the nucleation mode, Aitken mode, and accumulation mode is estimated and shown (in %) in Fig. 11a. Nucleation mode particles are those observed below 30 nm, Aitken mode particles are those from 30 to 100 nm, and accumulation mode particles are those beyond 100 nm (Ueda et al., 2016; Willis et al., 2016). The corresponding mean NSDs of APs along with the standard deviations for the study period are shown in panels (b), (c), and (d) of Fig. 11. The frequency of occurrence of the GMD for each period, along with the mean GMD values, is shown in Fig. 11e. As seen in the CCN characteristics, aerosol NSD also depicts distinct features prior to the marine (Fig. 11b), during marine (Fig. 11c), and after the marine air mass (Fig. 11d).

Figure 11(a) Fraction (in %) of nucleation mode, Aitken mode, and accumulation mode particles during the observation periods. Aerosol mean number size distribution (with standard deviations) during (b) continental-1, (c) marine-2, and (d) continental-2 conditions. The bars in the same plots indicate the frequency distribution of critical activation diameters at 0.3 % SS of the corresponding conditions (right axis). (e) Frequency distribution of the geometric mean diameter of the aerosol system during the observation periods.

Download

During continental-1, most of the distributions are monomodal, peaking around 80 nm, and the mean GMD during this period is ∼85 nm. In this period, the majority (∼55 %) of the APs were present in the Aitken mode and least (∼7 %) in the nucleation mode. During the continental-2 air mass conditions, a prominent presence of nucleation mode particles (15 %) was also seen (Fig. 11d). The consistent presence of such particles is seen as the spread of the distribution of the GMD in Fig. 11e. Unlike the continental air mass conditions, the aerosol size distributions are entirely different during the marine air mass under the monsoon rainfall as seen in Fig. 11c. Three modes are distinctly observed in Fig. 11c with two peaks below 100 nm. The mean GMD during this period is ∼69 nm with the frequency distribution spreading towards the lower size range. About 19 % of the total aerosols were found in the nucleation mode (<30 nm) during marine-2, and this feature continues in continental-2 also – even though the air mass history changes. The accumulation mode (30–100 nm) AP concentration diminished (only 31 %) during the marine air mass.

For a given aerosol NSD, the critical activation diameter (d_cri) serves as an important parameter for representing the CCN activity, along with the CCN activation fraction and the empirical fit parameter, namely k values. Assuming homogeneous composition, d_cri for a specific SS can be estimated by integrating the aerosol NSD from the higher to lower size until the integration becomes equal to the measured CCN number concentration at that SS (Furutani et al., 2008; Kammermann et al., 2010; Deng et al., 2011; Fang et al., 2016). The lower limit of the integration can be considered as the “apparent” critical activation diameter, as the ambient aerosol system can have both internal and external mixing states, and size-dependent composition. Comparing the d_cri for different conditions, the values were always less than 100 nm during continental-1; in contrast, the values were always greater than 100 nm during marine-2. The d_cri values were around 100 nm during continental-2. The mean (± SD) values of d_cri were 72±12 nm, 169±38 nm, and 121±20 nm for continental-1, marine-2, and continental-2 conditions, respectively.

Different factors such as heterogeneous sources (Kim et al., 2002; Morawska, 2002), local meteorology (Wehner and Wiedensohler, 2003; Du et al., 2018), long-range transport (Birmili et al., 2001), and cloud processing (Noble and Hudson, 2019) can influence and modify the NSD. The predominant (69 %) fine-particle (<100 nm) size distribution (bimodal) during marine air mass is similar to the two modes observed in the fine size range at the urban site, Kanpur (Bhattu and Tripathy, 2014), during the ISM. The GMD values and the corresponding CCN properties from the present study and other relevant studies are listed in Table 2. Lower AP concentration with low GMD (74 nm) was observed during the monsoon at an urban site by Kanawade et al. (2014) and at a background Himalayan site (86 nm) by Kompulla et al. (2009) over the Indian subcontinent. Similar to the present study, GMD was high before and after the monsoon period in both studies. From a high-altitude site in WG, Leena et al. (2016) have reported the lowest seasonal mean GMD of ∼77 nm during ISM. The enhancement of the smaller particles in the total aerosol system, causing the reduction of the GMD especially during monsoon as seen in the present study, is consistent with the previous studies (Babu et al., 2016). The mean GMD value observed over Solapur during ISM is the lowest (69 nm) reported value during a similar period over the Indian region.

Similar to the present observations, comparable accumulation and Aitken modes and a dominant accumulation mode were reported over the Amazon for wet and dry months, respectively by Pöhlker et al. (2016). The accumulation mode particles are associated with either aged biomass burning particles (Kalvitis et al., 2015) or condensation or coagulation of secondary organics and inorganic particles (Seinfeld and Pandis, 2016). Interestingly, low aerosol GMD values (<70 nm), similar to the present observations during marine air mass, were consistently observed near anthropogenic sources by Quinn et al. (2008). In the same study, they found bigger APs (GMD>70 nm) for observations carried out away from anthropogenic sources, which is similar to the present observations during the continental conditions. From the concurrent aerosol mass spectrometer measurements, they found that hydrocarbon-like organic aerosols (HOA) having mass spectrum characteristic of long-chain hydrocarbons from fresh diesel exhausts were responsible for the fine mode, while oxygenated organic aerosols and sulfates are responsible for the higher GMD. Hence the presence of freshly produced local fossil fuel combustion aerosols in the UF mode can be a reason for the low CCN activity during marine-2 in the present study. During the marine condition, most of the bigger APs, which are potential CCN, are either washed out by wet scavenging or already activated as cloud droplets. Hence the measured APs are devoid of CCN active particles which are clearly seen from the aerosol NSD during the relevant period (Fig. 11). Thus, the low CCN activation fraction during the marine conditions is due to those CCN active particles missing near the surface.

Since the CCN activity depends mainly on the aerosol size and chemical composition (Dusek et al., 2006; McFiggans et al., 2006), d_cri estimated from concurrent aerosol NSD and CCN measurements can be considered as a proxy for the variations in the chemical composition of the aerosol system. As the aerosol size distribution and chemical composition are intrinsically associated with each other, any shift in the physical size distribution is mostly associated with the change in the aerosol composition arising mainly due to the change in the sources or due to different processes such as aging, coating, or scavenging, except for externally mixed systems (Crosbie et al., 2015). Quinn et al. (2008) have correlated the d_cri with the HOA mass and found that HOA can explain about 40 % of the variance in the d_cri. They have reported 70–90 nm and higher values (>90 nm) as the d_cri for marine and inland regions, respectively, at 0.44 % SS. For anthropogenic and marine environments, Furutani et al. (2008) have reported d_cri values of 70–110 and 50–60 nm, respectively, at 0.6 % SS. The d_cri values observed during continental conditions at Solapur are similar to the values observed at a tropical monsoon climate region by Fang et al. (2016) under urban influence. The d_cri values during marine-2 are higher than the corresponding values reported from the polluted North China Plain by Deng et al. (2011). From an urban site, Burkart et al. (2011) have reported an average value of ∼169 nm for d_cri at 0.5 % SS. Freshly emitted carbonaceous combustion particles can have large d_cri values up to ∼350 nm, even at a high SS (0.7 %; Hitzenberger et al., 2003). The d_cri can exhibit much lower values than theoretically estimated ones in the presence of partially or fully soluble particles as their slight presence can greatly enhance the CCN activity of insoluble particles such as BC and dust (Dusek et al., 2006; Begue et al., 2015). The sharp distinction in the d_cri values and aerosol NSD between different atmospheric/air mass conditions within the same season in the present study indicates the difference in the aerosol composition.

3.6 Relationship between aerosol absorption and CCN properties

The aerosol composition plays an important role associated with the changes in the aerosol NSD due to the meteorological processes and active source and sink mechanisms prevailing during the monsoon conditions. The significant influence of aerosol composition in determining the CCN activity at lower SS which is more probable in the real atmosphere is demonstrated in many studies (Cubison et al., 2008; Kammermann et al., 2010; Bhattu et al., 2015; Jayachandran et al., 2017). In this aspect, the role of carbonaceous aerosols in determining the CCN activation is investigated.

The association of CCN concentration at 0.3 % SS and absorption coefficient at 550 nm, segregated for different periods, is shown in Fig. 12. The association between aerosol absorption and CCN concentration is generally low but moderate during the continental air mass and very weak during the marine air mass. The better association between the CCN concentration and absorption properties may be due to (i) absorbing APs acting as CCN or (ii) aerosol species co-emitted with the absorbing APs activating as CCN. The higher slope and better association observed during continental-1 indicate that the low k, high AF values, and the high association between CCN and CN during the period are due to the major contribution of carbonaceous aerosols towards CCN activation. It can be due to the co-emitted organics enhancing the CCN efficiency of the aerosol system, due to the aged carbonaceous aerosols activating as CCN, or due to the combination of both. The enhancement in the accumulation mode aerosols supports this observation as oxygenated organic aerosols and sulfates are found in the accumulation mode (O'Dowd et al., 1997; Quinn et al., 2008). During marine air mass, there is no clear association between aerosol absorption and CCN and fewer APs are activated as CCN. It indicates that there is a change in the source/sink and nature of CCN during marine/wet and continental/dry conditions.

Carbonaceous aerosols form a major source of CCN concentration and thereby contribute to the indirect effect of aerosols (Novakov and Penner, 1993). Anthropogenic carbonaceous aerosols cause an indirect effect of −0.9 W m⁻², while sulfates cause only −0.4 W m⁻² (Lohmann et al., 2000). Spracklen et al. (2011) have shown through simulations that about 60 % of the global CCN concentration is from carbonaceous sources. Various processes such as aging, coating, and mixing can enhance the water activity of BC (Lammel and Novakov, 1995; Kuwata et al., 2009), which is hydrophobic when freshly emitted. Mixing with hydrophilic substances like inorganic salts can also enhance the CCN activity of carbonaceous aerosols (Dusek et al., 2006). Thus, the better correlation observed between CCN and aerosol absorption and the associated high CCN efficiency during the continental conditions indicates the significant role of carbonaceous aerosols in CCN activation at Solapur. Jayachandran et al. (2018) illustrated the close association of CCN with aerosol absorption properties (better than the present study) from WG and the lack of association between the parameters at a coastal site during the monsoon conditions. Enhancement in CCN concentration along with an increase in the aerosol absorption coefficient was observed at the central Himalayas (Gogoi et al., 2015). In general, carbonaceous aerosols have a significant role in CCN concentration during continental conditions.

Figure 12Association between CCN (at 0.3 % SS) and absorption coefficient (at 550 nm) for (a) continental-1 (b) continental-2, (c) marine-1, and (d) marine-2 conditions. The color of the scatter indicates the concurrent absorption Ångström exponent values. The least-square linear fit is also shown along with the fit parameters.

Download

As the very low AF is observed along with the enhancement in the nucleation mode particles and depletion of Aitken particles after the onset of ISM over the study region, the chemical characteristics of Aitken, and accumulation mode particles, are investigated. Most of the studies from different parts of the globe have reported about the high hygroscopicity of accumulation mode particles and lower hygroscopicity for the Aitken mode particles (Paramonov et al., 2013, 2015). From the long-term observations from the Amazon, Pöhlker et al. (2016) have concluded that organics predominantly present in the Aitken mode reduce the hygroscopicity, while the dominance of inorganics in the accumulation mode enhances the aerosol hygroscopicity – which was in line with other studies (Gunthe et al., 2009; Pöhlker et al., 2012).

Table 3The linear fit parameters between BC mass and Aitken/accumulation mode particle concentration under different loading and air mass conditions.

Download Print Version | Download XLSX

The CCN concentration exhibited an association with the absorption coefficient during the continental air mass compared with the marine air mass conditions. The reduced CCN efficiency due to the presence of Aitken or UF mode has already been discussed. To ascertain the contribution of the carbonaceous APs to the NSD, the association of BC with Aitken mode particles and accumulation mode particles are examined under high and low aerosol loading conditions and shown in Fig. 13. Since the BC loading was mostly (>99 % cases) less than 2500 ng m⁻³ during marine-2, cases above this value are taken as polluted (p, high loading) in the continental air mass. A least-square linear fit is also made and the corresponding parameters are shown in Table 3. Under similar BC loading (low), Aitken mode APs are better associated with BC with a higher slope (m=0.68) during marine-2, while the accumulation mode APs showed a similar correlation with BC during low loading and the lowest slope during marine-2. The Aitken mode APs showed better association with BC during continental-2 under the high BC loading conditions. Except during continental-2, the accumulation mode APs were more associated with BC compared to Aitken mode APs. These all indicate that BC or the co-emitted APs from carbonaceous combustion sources were predominant in Aitken mode during marine-2 and polluted continental-2 conditions. In all other cases, the carbonaceous combustion APs contributed to the accumulation mode.

Figure 13Association of BC mass concentration with Aitken (a, b) and accumulation (c, d) mode particles segregated for different air mass and loading conditions. The least-square linear fit lines are also shown.

Download

The association of BC with the accumulation mode particles and the association of CCN with absorption coefficients during continental-1 along with high CCN AF indicate that the aged, large hygroscopic particles from carbonaceous combustion sources were present prior to the monsoon at the location. The strong convective conditions existing during this period over the region can take the APs to high altitudes where they can absorb radiation and may lead to semidirect effects. The association of BC with accumulation mode APs during continental conditions suggests that the carbonaceous APs existing in this size range can act as CCN. From the eastern coast of India, Kompalli et al. (2020) have reported highly coated larger BC particles (>110 nm) in dry conditions under the continental influence, while nascent BC particles (∼80 nm) with less coating were found during ISM due to wet scavenging. This finding is in line with the current marine-2 observations. The enhanced fine-particle concentration having better association with BC mass concentration during continental-2 underlines the possibility of freshly emitted carbonaceous aerosols reducing the CCN AF. The association of BC mass and accumulation mode aerosol number concentration also points to the possibility of inorganic aerosols like sulfate, co-emitted along with BC from carbonaceous combustion sources, enhancing the CCN activity of APs in continental conditions. Hence, the role of carbonaceous APs in modulating both cloud microphysics and dynamics needs to be investigated in detail. However, the current investigation could not address these probable aspects.

3.7 CCN closure

To understand the role of the size and composition of aerosols in CCN activity, CCN closure studies have been carried out by many investigators (Brokehuizen et al., 2006; Lance et al., 2009; Juranyi et al., 2011; Bhattu and Tripathy, 2015; Crosbie et al., 2015; Jayachandran et al., 2017) at different environments, leading to the better understanding of the CCN activation from APs. CCN concentration at the rain-shadow region under different air mass conditions is estimated and validated with the measured CCN concentrations. The CCN concentrations are estimated by (i) assuming accumulation mode aerosols are activating as CCN, (ii) applying the mean “apparent” critical diameter, and (iii) assuming the aerosol composition as ammonium sulfate ((NH₄)₂SO₄) and comparing with the observations. The scatter between the CCN concentration at 0.3 % SS estimated and the corresponding measured CCN concentrations segregated according to marine and continental conditions are shown in Fig. 14.

CCN are generally approximated as APs above 100 nm (accumulation mode) in many studies when there are no concurrent CCN measurements (e.g., Andreae, 2009). Still, it is a rough approximation due to the nonlinear dependence of CCN activation of APs, and this assumption is examined in Fig. 14a and b. The variations in accumulation mode APs are correlated well (R>0.95) with the CCN concentration in all the conditions. Interestingly, under the same conditions (continental) the accumulation mode APs have different CCN activation efficiency and are underestimated (m=0.64) during continental-1 and overestimated (m=1.26) during continental-2. But during marine-2 the linear fit of the scatter shows that the estimated CCN concentration is almost twice that of the measured concentration when the accumulation mode particles are considered to be CCN active.

Rather than taking an assumed value (100 nm) as the critical activation diameter, the mean of the measured critical diameter (d_cri) is used to estimate the CCN concentration and is shown in panels (c) and (d) of Fig. 14. The mean d_cri for 0.3% SS of ∼70, ∼165, and ∼120 nm is used for estimating CCN during continental-1, marine-2, and continental-2 conditions, respectively. The estimated and the measured CCN concentration correlate well during the continental conditions with a high correlation coefficient (R=0.97) and almost unit slope. From Fig. 14c, it can be seen that most of the points lie along the diagonal 1:1 line irrespective of the number concentrations and GMD values.

The CCN concentration at 0.3 % SS at different conditions is estimated (Fig. 14e and f) by assuming an inorganic composition of (NH₄)₂SO₄ as an ideal scenario. The methodology used for the estimation is given in the Appendix. In all the conditions, CCN concentrations were overestimated by this approach, indicating that the ambient aerosol system has a lesser hygroscopicity (κ) than that of (NH₄)₂SO₄. The highest overestimation (m=3.38) is observed during marine-2. During continental-1, the maximum correlation coefficient (R=0.98) is obtained, and the slope is also nearer to the unity (m=1.13). However, for the continental-2 conditions, the CCN concentrations are overestimated (almost twice) when (NH₄)₂SO₄ composition is assumed. These observations confirm that the nearly monomodal aerosol NSD observed during continental-1 is more similar to an aged continental aerosol system that has similar hygroscopicity to sulfate aerosols. This observation has to be considered along with the association of BC with accumulation mode aerosols (Fig. 13c). The AP system observed during marine conditions is much less hygroscopic, and the multiple size modes observed in the smaller size range indicate a heterogeneous composition in a complex mixing state during the wet conditions.

Figure 14Scatter between estimated and measured CCN concentration at 0.3 % SS for continental and marine conditions with the color indicating the GMD. CCN estimated (a, b) as particles above 100 nm, (c, d) from critical activation diameter, and (e, f) using aerosol NSD and ammonium sulfate composition. Linear fit and the parameters are also shown. The broken lines indicate the unit slope (m=1) line.

Download

Comparing the three approaches used to estimate the CCN concentrations, using a sharp size cut for estimating CCN concentrations, suits all the cases well. However, there is a variation in the AP composition in the continental air mass before and after the monsoon rainfall that is reflected in the distinct CCN efficiency of the accumulation mode between these periods. The aged aerosol system prior to the monsoon resembles a sulfate aerosol composition with a very high CCN activation efficiency and low k values. During continental-2, all the accumulation mode APs are not participating in the CCN activation (Fig. 14a), and the assumption of (NH₄)₂SO₄ composition nearly doubles the estimated CCN concentrations. When comparing the aerosol NSD in continental conditions, there is a depletion of Aitken mode particles and an enhancement in nucleation mode particles during continental-2. Similar to the different AF between continental 1 and 2, Pöhlker et al. (2016) have shown high CCN AF in the absence of nucleation mode.

This study is similar to the CCN closure reported by Crosbie et al. (2015) for North American monsoon conditions. The complex meteorological pattern, including the monsoon showers and regional aerosol production (both primary and secondary), causes large variability in the aerosol NSD as seen in Fig. 11. The lower hygroscopicity of the accumulation mode aerosols during the marine air mass is revealed in Fig. 14b. The least closure is obtained while assuming a uniform internal mixture of hygroscopic inorganic composition. These all point to the highly complex mixture of the size-dependent composition of the prevailing aerosol system during monsoon conditions. Studies (Cubison et al., 2008; Ervens et al., 2010) have highlighted the need for size-resolved composition information for estimating the CCN concentration for freshly emitted APs near to the sources. Thus even though the nucleation mode APs present during the period hinder the CCN activity, the presence of bigger particles in the same period is not supporting the CCN activation. It indicates that, apart from the size of the aerosols, the composition/mixing state of the aerosol system during marine-2 also influences the CCN efficiency. From the aerosol optical properties (Fig. 10a), it is seen that the low CCN AF and high k value is associated with the enhancement of the organics at the site. These organics observed after sunrise hours during marine conditions may be limiting the CCN activation of the aerosols. The quantification and classification of these species are essential for addressing the effect of aerosols on clouds in the rain-shadow region, especially during the monsoon.