Marine aerosol properties over the Southern Ocean in relation to the wintertime meteorological conditions

Abstract

Given the vast expanse of oceans on our planet, marine aerosols (and sea salt in particular) play an important role in the climate system via multitude of direct and indirect effects. The efficacy of their net impact, however, depends strongly on the local meteorological conditions that influence their physical, optical and chemical properties. Understanding the coupling between aerosol properties and meteorological conditions is therefore important. It has been historically difficult to statistically quantify this coupling over larger oceanic areas due to the lack of suitable observations, leading to large uncertainties in the representation of aerosol processes in climate models. Perhaps no other region shows higher uncertainties in the representation of marine aerosols and their effects than the Southern Ocean. During winter the Southern Ocean boundary layer is dominated by sea salt emissions.

Here, using 10 years of austral winter period (June, July and August, 2007–2016) space-based aerosol profiling by CALIOP-CALIPSO in combination with meteorological reanalysis data, we investigated the sensitivity of marine aerosol properties over the Southern Ocean (40–65${}^{\circ }$ S) to various meteorological parameters, such as vertical relative humidity (RH), surface wind speed and sea surface temperature (SST) in terms of joint histograms. The sensitivity study is done for the climatological conditions and for the enhanced cyclonic and anticyclonic conditions in order to understand the impact of large-scale atmospheric circulation on the aerosol properties.

We find a clear demarcation in the 532 nm aerosol backscatter and extinction at RH around 60 %, irrespective of the state of the atmosphere. The backscatter and extinction increase at higher relative humidity as a function of surface wind speed. This is mainly because of the water uptake by the wind-driven sea salt aerosols at high RH near the ocean surface resulting in an increase in size, which is confirmed by the decreased depolarization for the wet aerosols. An increase in aerosol backscatter and extinction is observed during the anticyclonic conditions compared to cyclonic conditions for the higher wind speeds and relative humidity, mainly due to aerosols being confined to the boundary layer, and their proximity to the ocean surface facilitates the growth of the particles. We further find a very weak dependency of aerosol backscatter on SSTs at lower wind speeds. However, when the winds are stronger than about 12 m s${}^{-\mathrm{1}}$, the backscattering coefficient generally increases with SST.

When aerosol properties are investigated in terms of aerosol verticality and in relation to meteorological parameters, it is seen that the aerosol backscatter values in the free troposphere (pressure $<\mathrm{850}$ hPa) are much lower than in the boundary layer, irrespective of the RH and the three weather states. This indicates that the local emissions from the ocean surface make the dominant contribution to aerosol loads over the Southern Ocean. A clear separation of particulate depolarization is observed in the free and lower troposphere, more prominent in the climatological mean and the cyclonic states. For RH $>$ 60 %, low depolarization values are noticeable in the lower troposphere, which is an indication of the dominance of water-coated and mostly spherical sea salt particles. For RH $<$ 60 %, there are instances when the aerosol depolarization increases in the boundary layer; this is more prominent in the mean and anticyclonic cases, which can be associated with the presence of drier aerosol particles.

Based on the joint histograms investigated here, we provide third-degree polynomials to obtain aerosol extinction and backscatter as a function of wind speed and relative humidity. Additionally, backscattering coefficient is also expressed jointly in terms of wind speed and sea surface temperature. Furthermore, depolarization is expressed as a function of relative humidity. These fitting functions would be useful to test and improve the parameterizations of sea salt aerosols in the climate models.

We also note some limitations of our study. For example, interpreting the verticality of aerosol properties (especially depolarization) in relation to the meteorological conditions in the free and upper troposphere (pressure $<\mathrm{850}$ hPa) was challenging. Furthermore, we do not see any direct evidence of sudden crystallization (efflorescence), deliquescence or hysteresis effects of the aerosols. Observing such effects will likely require a targeted investigation of individual cases considering tracer transport, rather than the statistical sensitivity study that entails temporally and geographically averaged large data sets.

1 Introduction

Aerosols, irrespective of their phase, are defined as particles suspended in the air with lifetimes ranging from hours to decades. Atmospheric aerosols, both natural and anthropogenic, present themselves in multitude of sizes, shapes and chemical compositions. Oceanic sea salt and biogenic emissions, desert dust, and volcanic emissions constitute natural sources of aerosols. All others that are created as a result of human influence, directly or indirectly, such as industrialization, agriculture and forest fires are classified as aerosols derived from anthropogenic sources. Aerosols are very complex in nature and influence the Earth system through their impact on climate, environment and health. Aerosol research focusing on the nature of aerosols and their interactions has progressed significantly over the last decade, given their implications for the Earth's radiative balance. A recent study reports the global mean total effective aerosol radiative forcing to be in the range of $-$2.0 to $-$0.35 W m${}^{-\mathrm{2}}$ when constrained by observations, with estimates of aerosol–cloud interactions in the range of $-$2.65 to $-$0.07 W m${}^{-\mathrm{2}}$ .

Among the naturally occurring aerosols, oceans are the dominant source of such aerosols in the form of sea salt with total emission ranging from 1400 to 6800 Tg yr${}^{-\mathrm{1}}$ according to the IPCC Fifth Assessment Report (2013). Sea salt aerosols are highly hygroscopic in nature and play an important role in the chemistry of the marine atmosphere . As they are an important source of halogens, they are capable of altering the chemistry of several species such as ozone, nitrogen, bromine, etc., via heterogeneous reactions . The dependency of the hygroscopicity of sea salt aerosols on the ambient humidity means that they can impact the amount of radiation that is attenuated, thereby affecting the clear-sky radiative fluxes . In addition, they are very efficient CCN, thereby altering the cloud albedo, lifetime and eventually precipitation .

Pure sea salt contains 85 % salt. Mostly it consists primarily of NaCl and a mixture of one or more of other salts, such as Mg, K, Ca sulfates and traces of organic material. Since sea salt is highly hygroscopic, the ambient relative humidity (RH) determines their morphology and complex refractive index . In marine environments, RH can reach as high as 80 %–90 %. Deliquescence (the process of water absorption by sea salt particles until they are completely dissolved) and efflorescence (the process in which hydrated salts become drier and return to their crystalline structure) phase transformations of sea salt are more complex and depend on the RH values and the composition. As the RH increases, deliquescence occurs at about 76 % RH, which is termed as deliquescence RH (DRH). However, as RH decreases, the moist particle does not crystallize at DRH but at a much lower RH (values below 45 %) . This hysteresis effect has been studied in detail in the laboratory for different salts . Hygroscopic growth of inorganic sea salt is 8 %–15 % lower than that of NaCl . Sea salt particles come in a range of sizes, with dry sea salt aerosols being relatively small compared to those at high RH . The influence of RH on aerosol light scattering is evaluated by the scattering enhancement factor, which varies considerably depending on the size and type of aerosol and their transport pathway . The cloud radar at the Barbados Cloud Observatory, which is situated at the windward coast of Barbados (13.16${}^{\circ }$ N, 59.43${}^{\circ }$ W) is found to be well-suited as the propagation of the Intertropical Convergence Zone (ITCZ) to the Southern Hemisphere (SH) during Northern Hemisphere (NH) winter favors the transport of dust-laden air masses to South America, leaving this station solely under marine influence . One other location that is devoid of anthropogenic influence is the southern Indian Ocean, depending on the position of the Mascarene anticyclone . These are ideal conditions to explore the sea salt aerosols in detail in their natural environment. studied the linear depolarization ratios over Barbados and observed that there were periods with RH below 40 % for which the depolarization ratios significantly increased to 0.15 $\pm$ 0.03 (at 532 nm) compared to the laboratory measurement values of 0.08 $\pm$ 0.01 for sea salt crystals . This implies that the naturally occurring sea salt particles are not completely dry but are starting to crystallize. This can have an impact on the Earth's radiative budget.

Apart from the laboratory studies and in situ observations, numerous campaigns have been carried out to assess the size, morphology and composition of naturally occurring sea salt, for example, the ATom (Atmospheric Tomography mission) aircraft campaign , the ACE1 (First Aerosol Characterization Experiment) flight campaigns, and the PEMT-B (Pacific Exploratory Mission in the tropics) flight campaign . All of these campaigns were aimed at understanding the physical, chemical and optical properties of tropospheric marine aerosols under clean atmospheric conditions and their dependency on different synoptic states. It was observed that 26 % of the accumulation mode particles below 200 m were sea salt and that this fraction increases with wind speed by 11 % for wind speeds less than 4 m s${}^{-\mathrm{1}}$ and 20 % and 30 % at 4–8 and 8–12 m s${}^{-\mathrm{1}}$, respectively. The scattering coefficients of sea salt decrease to 87 % under dry conditions compared to 96 % at high relative humidities, and sea salt contributes to about 63 % of the total column AOD (aerosol optical depth) over the Southern Oceans .

Being one of the dominant aerosol types in the atmosphere, and considering the impact they can instill on the Earth's radiative balance, the role of the sea salt aerosols in the climate system can not be ignored. At the same time, due to their complex nature and high computational costs, the atmospheric flux of sea salt in the general circulation models is heavily parameterized based on existing campaign measurements. There are two main ways by which sea salt is released into the atmosphere; one by the bursting of air bubbles during whitecap formation and the other via the direct tearing of droplets from the top of breaking waves. These two processes release sea salt droplets of varying radii, with smaller droplets of the size range 0.25–8 $\mathrm{\mu }$m by the former mechanism and much larger droplets (10–20 $\mathrm{\mu }$m) by the latter . The generation of sea spray in the models is described by source functions that are factors of surface wind speed and/or water temperature and are based on field and/or laboratory data (e.g., ). considered ultrafine sea salt as it can have an impact on the CCN concentrations. However, a detailed review of these source functions revealed that the sea spray fluxes varied by several orders of magnitude for different size ranges and wind speeds . All of these parameterizations (and many more) have been evaluated extensively in the general circulation models . It was seen that the atmospheric sea salt concentrations were overestimated by 8 %–46 %, and the concentrations in precipitation were systematically underestimated by nearly 70 % over Europe, which can be attributed to the sensitivity to the meteorology used and also to uncertainties in processes such as deposition velocities and in-cloud scavenging ratio . obtained model bias reductions of nearly a factor of 2 for both cruise and station observations globally when an empirical source function depending on both wind speed and sea surface temperature was used. A recent work by suggested a new source function with an averaged 10 m wind speed ($u_{\mathrm{10}}$) dependency of $u_{\mathrm{10}}^{\mathrm{3.5}}$ and a temperature that produced sea salt spray emissions close to the observations. Many of these studies failed to accurately reproduce the aerosol optical depth. For example, the ACCMIP (Atmospheric Chemistry and Climate Model Intercomparison Project) models and other studies overestimated the winter AOD over the Southern Ocean because of the overestimation of the wind speed dependency introduced by the sea spray source function used in the model .

Given their dominance in the atmosphere, multitude of climate impacts, sensitivity to the local meteorology and poor representation in global climate models, it is important to continue to study and characterize sea salt aerosols under varying meteorological conditions. The oceanic area covers approximately 70 % of the Earth's surface, and since the majority of these water bodies are bounded by continents it is difficult to separate the naturally occurring sea salt aerosols from other natural or anthropogenic aerosols in order to study their characteristic physical and chemical properties in their natural habitat. However, one such area where the anthropogenic influence is relatively negligible is over the Southern Ocean. Using a combination of data from the active aerosol lidar in space and reanalysis, this study therefore investigates aerosol properties over the Southern Ocean in relation to the local meteorology. We chose the SH winter period over the Southern Ocean when solar radiation is at its minimum and dimethyl sulfide (DMS) emissions are negligible. This is also to make sure that we are predominantly dealing with sea salt aerosols without contamination via long-range transport or local sources. With the advancements in active lidar remote sensing, it is now feasible to study the optical properties of sea salt aerosols in great detail in their natural environment over larger spatial scales.

In particular, the answers to the following questions are sought.

• How sensitive are the backscatter, extinction and depolarization ratio to surface wind speed, relative humidity and sea surface temperature?

• How is the vertical distribution of aerosol properties impacted by the relative humidity?

• Do aerosol properties differ during the cyclonic and anticyclonic conditions?

This study will further the understanding of how deliquescent sea salt aerosols behave under varying humidities and how the optical properties of sea salt aerosols differ at different stages of growth.

2 Data and methods

2.1 Optical properties of aerosol particles

In this study, we make use of the vertical profiles of aerosol properties, such as extinction and backscattering coefficients and linear depolarization ratio, all retrieved from the CALIOP sensor data (flying on board the CALIPSO satellite). The extinction and backscattering coefficients can be used to obtain information on the vertical distribution of the aerosols. The extinction coefficient $k_{\mathrm{ext}}=\mathrm{d}I/\left(I\mathrm{d}s\right)$ expresses the relative attenuation of the spectral intensity $I$ of a beam of light along a path of length $\mathrm{d}s$ . In the simplest case of an ensemble of spheres characterized by their radii $r$ and extinction cross sections $C_{\mathrm{ext}}\left(r\right)$, it can be computed according to

1$$k_{\mathrm{ext}}=\int n\left(r\right)C_{\mathrm{ext}}\left(r\right)\mathrm{d}r,$$ where $n\left(r\right)\mathrm{d}r$ denotes the number volume density of particles in the radius interval $[r,r+\mathrm{d}r]$. Thus, $k_{\mathrm{ext}}$ contains information on both the number density and the size distribution of the particles. In the more general case of an ensemble of nonspherical particles of varying microphysical properties, Eq. () has to be generalized to an integral over particle sizes, orientations, shapes, and compositions. The backscattering coefficient $k_{\mathrm{bak}}$ is defined analogously, where the extinction cross section $C_{\mathrm{ext}}$ is replaced by the backscattering cross section $C_{\mathrm{bak}}$.

Extinction is the combined effect of absorption and scattering, i.e., $k_{\mathrm{ext}}=k_{\mathrm{abs}}+k_{\mathrm{sca}}$. Marine aerosols are only weakly absorbing, and thus $k_{\mathrm{ext}}$ is typically dominated by $k_{\mathrm{sca}}$. Note that the total scattering coefficient $k_{\mathrm{sca}}$ accounts for attenuation by scattering into all directions. Thus, $k_{\mathrm{sca}}$ is an integral radiative property, while $k_{\mathrm{bak}}$ is a differential radiative property that only depends on the radiative energy scattered into the exact backscattering direction.

The linear depolarization ratio ${\mathit{\delta }}_{\mathrm{l}}=I_{⟂}/I_{\parallel }$ expresses the ratio of perpendicular to parallel polarized intensities of scattered light. In lidar remote sensing, these intensities are measured in the backscatter direction, and the detected intensity $I_{\parallel }$ is taken to be parallel to the polarization of the emitted laser beam. For an ensemble of particles the linear backscattering depolarization ratio can be modeled according to 2$${\mathit{\delta }}_{\mathrm{l}}^{\mathrm{p}}={\left.{\displaystyle \frac{F_{\mathrm{11}}-F_{\mathrm{22}}}{F_{\mathrm{11}}-F_{\mathrm{22}}}}\right|}_{\mathrm{\Theta }=\mathrm{180}{}^{\circ }},$$ where $F_{ij}$ denote the elements of the $\mathrm{4}\times \mathrm{4}$ Mueller matrix (averaged over the ensemble of aerosols) evaluated at the backscattering angle $\mathrm{\Theta }=\mathrm{180}{}^{\circ }$. The Mueller matrix relates the four Stokes vector components of the scattered beam to those of the incident beam. It is part of the retrieval process to obtain ${\mathit{\delta }}_{\mathrm{l}}^{\mathrm{p}}$ of the aerosols from the measured depolarization ${\mathit{\delta }}_{\mathrm{l}}$, where the latter is also impacted by attenuation and backscattering by molecules.

The depolarization ratio ${\mathit{\delta }}_{\mathrm{l}}^{\mathrm{p}}$ varies between 0 and 1. If ${\mathit{\delta }}_{\mathrm{l}}^{\mathrm{p}}=\mathrm{0}$, then the linearly polarized incident beam will retain its polarization state when scattered by an angle $\mathrm{\Theta }=\mathrm{180}{}^{\circ }$. If ${\mathit{\delta }}_{\mathrm{l}}^{\mathrm{p}}=\mathrm{1}$, then the backscattered beam will be linearly polarized in the plane perpendicular to that of the incident polarization state. For spherically symmetric particles, ${\mathit{\delta }}_{\mathrm{l}}^{\mathrm{p}}=\mathrm{0}$; for nonspherical particles, ${\mathit{\delta }}_{\mathrm{l}}>\mathrm{0}$. Thus, this quantity is a sensitive indicator for the presence of nonspherical particles. For our purposes, this allows us to discriminate between dry, nonspherical sea-salt crystals and wet marine aerosol particles in which the salt core has become dissolved in a spherical coating of water. Modeling studies indeed suggest that the depolarization ratio of water-covered marine aerosols goes to zero as more and more liquid water is added to the aerosol particles .

2.2 Data

A combination of satellite-based observations and reanalysis data for June, July and August, i.e., during SH winter, and the 10-year period (2007–2016) is used for the evaluation. The study area is the latitude band between 40 and 65${}^{\circ }$ S. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) level 2, 5 km Standard Aerosol Profile product (version 4.20) is used to obtain information on the vertical profiles of aerosol optical properties . The analysis is purely based on these satellite observations and no modeling is performed. The original Algorithm Theoretical Basis Documents on how these retrievals were performed can be found using the following links: https://www-calipso.larc.nasa.gov/resources/pdfs/PC-SCI-202.Part1_v2-Overview.pdf (last access: 16 October 2006), https://www-calipso.larc.nasa.gov/resources/pdfs/PC-SCI-202_Part2_rev1x01.pdf (last access: 20 October 2005), and https://www-calipso.larc.nasa.gov/resources/pdfs/PC-SCI-202_Part4_v1.0.pdf (last access: 1 Febraury 2008).

We have used aerosol retrievals of backscatter, extinction, and depolarization provided from the most recent version 4 data products. A detailed overview of these data products is given in and at the following link: https://amt.copernicus.org/articles/special_issue903.html (last access: 27 November 2021).

The quality control and selection of CALIOP data are done as mentioned in Table .

Table 1

The selection criteria adopted in this study for the processing of CALIOP data.

Parameter or variable	Selection criteria or condition
Cloud–aerosol discrimination (CAD) score	CAD $\mathit{\geqq }-\mathrm{100}$ and CAD $\mathit{\leqq }-\mathrm{20}$
Extinction quality flag	0 (successful retrieval and no change in the initial lidar ratio)
Tropospheric AOD	$\mathit{\leqq }\mathrm{3.0}$
Land or ocean	Only open-ocean, sea-ice free profiles at least 50 km away from the ice edge
Height	$>\mathrm{500}$ hPa, lower-tropospheric aerosols
Ascending or descending orbital tracks	Only descending, nighttime tracks

The rationale behind these criteria is as follows. The CAD score between (and equal to) $-$100 and $-$20 makes sure that the aerosols are identified with relatively high confidence. The extinction quality flag of 0 ensures that the retrieval converges successfully and that there is no need to change the initial lidar ratio. We also investigated additional cases with extinction quality flags of 1 and 2, wherein the lidar ratio was adjusted, but their contribution was low (0.25 % and 0.6 % respectively) and did not make much difference to the overall statistics presented here. Since the focus here is primarily on sea salt aerosols, we investigate profiles only over the free open-ocean waters and analyzed only lower-tropospheric aerosols (pressure $>\mathrm{500}$ hPa), mainly to avoid upper-tropospheric aerosols that may be present due to the long range from the nearby land regions. In order to avoid potential contamination and aerosol misclassification in CALIOP-CALIPSO aerosol retrievals due to wind-blown snow and ice crystals, the data profiles over the sea ice and up to 50 km from the ice edge are not included in this analysis. We use only nighttime profiles from the descending CALIPSO tracks in order to avoid potential artifacts arising from poorer signal-to-noise ratio during daytime and because we are analyzing small changes in the depolarization. The total cloud cover over the Southern Ocean ranges from 75 % to 85 % depending on the winter months and region. However, not all clouds are optically thick, and the CALIOP lidar can see through the thin clouds. Here, we have therefore used all-sky retrievals. In this study, we were able to retrieve aerosol optical properties for nearly 40 %–50 % of the time.

Additionally, ERA5 reanalysis is used to get information on humidity and surface winds . We further use geopotential height information at 700 hPa from the Atmospheric Infrared Sounder (AIRS) on the Aqua satellite, which flies closely in time in the A-Train constellation of satellites on the same orbital track as that of CALIPSO. The algorithm theoretical basis document for the most recent version 7 level 2 and level 3 products can be found here: https://docserver.gesdisc.eosdis.nasa.gov/public/project/AIRS/L2_ATBD.pdf, last access: 7 August 2020. We further use the daily sea ice concentration information from the EUMETSAT's Satellite Application Facility for Ocean and Sea Ice .

Since the parameterizations of the sea salt flux to the atmosphere and the particles' water content are primarily a function of three meteorological parameters, i.e., surface wind speed, atmospheric relative humidity and sea surface temperature (SST), in this study, the extinction, backscatter and depolarization ratio at 532 nm of the marine aerosols are investigated in relation to these meteorological parameters. During winter months, the Southern Annular Mode (Antarctic Oscillation) plays an important role in driving meteorological variability in the southern high latitudes. The impact of these phases and the strengths of SAM can be geographical heterogeneous. When investigating the impact of SAM on aerosol properties, compiling statistics over the entire study area (40–65${}^{\circ }$ S) could therefore be either misleading or could dampen the potential signal (due to the presence of pockets of low and high pressure zones over the Southern Ocean). The signal of SAM is visible in the 700 hPa geopotential height (GPH) . We therefore computed the 25th and 75th percentile thresholds of GPH at each $\mathrm{1}\times \mathrm{1}$${}^{\circ }$ grid and used them to test if the aerosol properties respond to the two very different regimes, i.e., when the cyclonic and anticyclonic conditions prevail locally. The 700 hPa GPH distribution corresponding to both of these states and the climatological state is shown in Fig.  in the Appendix A. Southern oceans are predominantly a region of intense extratropical cyclonic activity. More than half of the winter cyclones have a structure that extends through to the lower atmospheric levels . Hence, the 25th percentile of GPH that corresponds to cyclonic conditions is representative of the mean state. We compiled and investigated the joint histograms of aerosol properties mentioned above when (a) the GPH is less than 25th percentile for cyclonic state and (b) the GPH is greater than 75th percentile for anticyclonic state, signalling these two opposite regimes. In other words, cyclonic and anticyclonic conditions are associated with the ascending and descending air masses, respectively.

3 Results and discussion

3.1 Aerosol properties in relation to wind speed and relative humidity

The 2D joint histograms of total aerosol backscattering coefficient at 532 nm as a function of surface wind speed and relative humidity are presented in Fig.  for three atmospheric states – mean state (Clim; Fig. 1a) and when ascending (P25; Fig. 1b) and descending (P75; Fig. 1c) air masses are encountered. The backscattering coefficient depends on both the number density and the size of the particles, as well as on the complex refractive index and shape of the particles.

A clear demarcation in the aerosol backscatter at RH $\sim \mathrm{60}$ % can be seen irrespective of the state of the atmosphere above which the backscatter increases. This is mainly because of the water uptake by the wind-driven sea salt aerosols at high RH near the ocean surface resulting in an increase in size. An increase in both the number concentration and the mean size of sea salt aerosols contribute to an increase in aerosol backscatter values ranging from 0.005–0.012 km${}^{-\mathrm{1}}$ sr${}^{-\mathrm{1}}$ at wind speeds below 14 m s${}^{-\mathrm{1}}$ to above 0.018 km${}^{-\mathrm{1}}$ sr${}^{-\mathrm{1}}$ (reaching as high as 0.025 km${}^{-\mathrm{1}}$ sr${}^{-\mathrm{1}}$) at wind speeds stronger than 14 m s${}^{-\mathrm{1}}$. For a drier atmosphere (when RH $<\mathrm{60}$ %), the dependency of backscatter on wind speed is negligible. A plausible reason is that such low humidities are mainly encountered at higher altitudes where the wind speed does not impact the emission of marine aerosol. In contrast, higher values of RH are found near the ocean surface where wind speed directly impacts the size and number density of emitted particles and thus the backscattering coefficient.

When comparing the ascending (P25) and descending (P75) air masses, an increase in aerosol backscatter is observed in descending air masses for high RH values. This is expected as the large-scale descent inhibits vertical mixing in the atmospheric column, thereby resulting in aerosols being confined to the boundary layer, and their proximity to the ocean surface facilitates the growth of the particles. This is seen more clearly in Fig. d, where the aerosol backscatter is expressed in terms of wind speed averaged over our study area. The mean state given by the black curve is very similar to when cyclonic conditions prevail (magenta curve). This is because the mean state is dominated by such weather systems during the SH winter months. At low and moderate wind speeds, all three curves are similar (i.e., Clim, P25 and P75). However, at higher wind speeds, elevated aerosol backscatter is observed during anticyclonic conditions or when descending air masses are encountered. This is because under such conditions emitted aerosols often remain close to the surface, where the air tends to be more humid, and thus the aerosols remain moist. During cyclonic conditions, aerosols in ascending air masses are more frequently exposed to drier air, resulting in evaporation and shrinking of the particles, which reduces the backscattering coefficient.

Figure 1

Total backscatter coefficient at 532 nm (km${}^{-\mathrm{1}}$ sr${}^{-\mathrm{1}}$) as a function of surface wind speed and relative humidity. (a) Climatological conditions (Clim), all aerosol profiles included, (b) ascending case, only when 700 hPa geopotential height is less than the 25th percentile (P25) and (c) descending case, only when 700 hPa geopotential height is greater than the 75th percentile (P75). (d) Expressed only as a function of wind speed (averaged over all relative humidities).

[Figure omitted. See PDF]

The aerosol extinction for the aforementioned three weather states are shown in Fig. . Aerosol extinction is a measure of attenuation of light by absorption and scattering. A gradual increase in the extinction coefficient with wind speed with values below 0.15 is observed for RH $>$ 60 % up to 14 m s${}^{-\mathrm{1}}$, beyond which there is an exponential increment. This can be clearly seen in Fig. d where aerosol extinction is expressed in terms of wind speed for the three cases. At stronger wind speeds (above 14 m s${}^{-\mathrm{1}}$), the extinction increases to values above 0.2 km${}^{-\mathrm{1}}$ for higher relative humidities (RH $>\mathrm{60}$ %). This is because higher wind speeds indicate more scattering sea salt particles in the atmosphere and large-sized particles, which goes hand in hand with the increased backscattering coefficients seen in the previous figure.

Figure 2

The same as in Fig.  but for the extinction coefficient (km${}^{-\mathrm{1}}$) at 532 nm.

[Figure omitted. See PDF]

The observed distribution of linear depolarization at 532 nm as a function of wind speed and relative humidity is shown in Fig. . As seen in aerosol extinction and backscatter parameters, a clear distinction at RH $\sim \mathrm{60}$ % is observed here too. At low RH, for RH less than 60 % the linear depolarization values are clearly higher, indicating a dominance of more non-spherical sea salt particles. Remarkably enough, the linear depolarization is not very sensitive to varying winds. Modeling studies suggest that the depolarization ratio of sea-salt particles is dependent on particle size . This size dependence would translate into a pronounced wind speed dependence, which is not evident in the observations. The high-depolarization cases are more likely from the free troposphere which are decoupled from the surface. It is also evident that there are more non-spherical particles when cyclonic conditions prevail compared to the climatological mean state and anticyclonic conditions. This is as expected since the aerosol particles tend to dry out in ascending air parcels as the RH decreases with height. As the RH increases (RH $>\mathrm{60}$ %), water uptake by hydrophilic sea salt particles and subsequent rounding results in lower depolarization values as can be seen in all the three cases. Lab and in situ measurements have shown that the efflorescence (crystallization) of sea salt occurs at a range of 46 %–58 % RH , and deliquescence (the onset of water absorption) occurs at RH around 70 %–75 % when the particle starts losing its crystalline structure and tends to be more spherical resulting in lower depolarization values. These RH numbers seem to agree well with what is seen over the Southern Oceans.

The dependency of linear depolarization on wind speed when the air parcel is classified as “wet” (solid lines) and “dry” (dashed lines) conditions based on relative humidity being above and below 60 %, respectively, is shown in Fig. d. This is shown for all three weather states. It is evident that the linear depolarization ratio is significantly higher in dry air masses, indicating the presence of more non-spherical particles compared to moist environments where the particles have a more spherical shape due to water uptake. In addition, lower depolarization ratios are observed in ascending air masses compared to descending air masses due to the fact that RH decreases as we move away from the surface. Over the southern oceans inversions in RH were not detected. A slight increase in depolarization ratios with wind speed is noticeable in moist environments.

Figure 3

The same as in Fig.  but for the particulate depolarization ratio (532 nm). In panel (d) depolarization is further classified into two categories based on the relative humidity, namely dry (RH $<\mathrm{60}$ %) shown as dashed lines and wet (RH $>\mathrm{60}$ %), shown as solid lines and is expressed as a function of surface wind speed.

[Figure omitted. See PDF]

3.2 Aerosol properties in relation to sea surface temperatures

Marine aerosol concentration in the atmosphere may also depend indirectly on the temperature by facilitating the evaporation of the sea salt bubbles if the bubbles are small in size or by accelerating the bursting process with an increase in temperature. Studies have shown that the nanometer-sized particle concentration decreases with increasing sea water temperature, and for particle sizes greater than 0.1 $\mathrm{\mu }$m, the particle concentration increases with increasing sea water temperature . Here, we analyze the optical properties of the marine aerosols over the southern oceans in relation to wind speed and sea surface temperature. The 532 nm aerosol backscatter and linear depolarization ratio are shown in Figs.  and , respectively, for the three weather states. In this case, we investigated only the three lowermost quality-controlled aerosol profile bins nearest to the surface as they are expected to be influenced most by the SST-driven emissions. In the upper layers of the atmosphere, the SST is unlikely to have a direct influence on the backscatter and extinction.

Figure 4

Total backscatter coefficient at 532 nm (km${}^{-\mathrm{1}}$ sr${}^{-\mathrm{1}}$) as a function of surface wind speed and temperature. (a) Climatological conditions, all aerosol profiles included; (b) ascending case, only when 700 hPa geopotential height is less than 25th percentile (P25); (c) descending case, only when 700 hPa geopotential height is greater than the 75th percentile (P75); and (d) expressed only as a function of temperature (averaged over all wind speeds.

[Figure omitted. See PDF]

Increased aerosol backscatter is observed at higher wind speeds in the climatological mean state and when cyclonic conditions are encountered. We see in Fig.  that under cyclonic (ascending, P25) conditions the aerosols depolarize more strongly than under anticyclonic (descending, P75) conditions. This indicates that even within the lowest three altitude bins considered in this figure the aerosols can partially dry out in ascending air parcels, resulting in higher values of the depolarization ratio. Accordingly, the loss of water reduces the particles' geometrical cross section, resulting in a decrease in their backscattering cross section as compared to descending aerosols (see Fig. ). However, a dependency on the SSTs is very weak for lower wind speeds in all three weather states. At wind speeds exceeding about 12 m s${}^{-\mathrm{1}}$, we observe that the backscattering coefficient generally increases with SST. This is consistent with increasing emissions of marine aerosols with increasing SST, as reported in . When averaged over all wind speeds, the initial 2.5${}^{\circ }$ increment (from 270 to 273 K) in the SST increases the aerosol backscatter coefficient by 30 %–40 % but remains a constant for warm SSTs (i.e., above 273 K) up until about 280 K, beyond which we again observe an increase in the backscattering coefficient. There may be several competing effects responsible for this rather complex behavior. Higher SST not only increases the number density of emitted particles but also favors the emission of particles with larger diameters . Both effects contribute to an increase in the backscattering coefficient. However, larger particles are also more likely to be re-deposited to the ocean surface, thus reducing the backscattering signal. This effect can be expected to be more efficient under descending conditions (P75), under which the particles are more confined to the surface, as well as heavier, because they are less likely to dry out. Indeed, we observe a decrease in the backscattering coefficient for descending (P75) conditions between 275–284 K. In the climatological case and under ascending conditions (P25), this effect only dampens the increase of the backscattering coefficient with SST, but it is not pronounced enough to result in a net decrease. Similar features are also seen in the linear depolarization ratio (Fig. ). The values increase when temperatures rise from 270–273 K and thereafter plateaus until 280 K. Under descending conditions (P75) the particles remain moist and mostly spherical. Accordingly, the depolarization is very low, around 0.045, and does not change with SST $>$ 273 K. Under ascending conditions, the particles partially dry out, resulting in depolarization ratios up to 0.075. This is much lower than the maximum values around 0.15 that we observed in Fig. , but recall that we are only considering the lowest three altitude bins here. At SST $>$ 278 K, the depolarization ratio drops under ascending conditions (P25). One possible hypothesis to explain this effect is that the size distribution of the emitted marine aerosol particles shifts to larger particle diameters with rising SST , but larger particles need more time to dry out. Thus, one would expect that, at least near the surface, higher values of SST can result in less depolarization under ascending conditions because evaporation of water in ascending air masses and production of nonspherical, depolarizing particles will be slower for large particles than for small particles.

Figure 5

The same as Fig.  but for the total linear depolarization ratio (532 nm) as a function of surface wind speed and temperature.

[Figure omitted. See PDF]

3.3 Verticality of aerosol properties in relation to relative humidity

The vertical distribution of backscatter coefficient as a function of RH is presented in Fig.  for climatological mean state and in ascending (P25) and descending (P75) air masses. In the case of P25 conditions, there are not many observations where RH is lower than 40 % in the lowermost troposphere as expected. Aerosol backscatter values in the free troposphere are much lower than in the boundary layer, irrespective of the RH and the three weather states. This indicates that local emissions from the ocean surface make the dominant contribution to aerosol loads over the Southern Ocean. We also see a pronounced dependence of backscattering on RH up to 850 hPa. Elevated values of RH entail a higher aerosol water content, hence larger mean aerosol radius, which results in higher values of the backscattering coefficient. This effect is very pronounced up to 850 hPa. In the free troposphere, no clear dependence of backscattering on RH can be seen. It is possible that the long-range transported aerosols above 850 hPa consists of a mixture of different aerosol species with varying water adsorption properties. But most importantly, the aerosol in the free troposphere is too tenuous, and the detected signal is too weak to discern a clear relation between RH and backscattering. It is also notable that for any fixed value of RH $>\mathrm{50}$ %, the aerosol layer near the surface has a higher vertical extent during cyclonic conditions (P25) than during anticyclonic conditions (P75), which is what we already mentioned in the discussion of Fig. . During cyclonic conditions, the lower atmospheric layers are significantly wetter, which increases the backscattering coefficients for reasons mentioned above.

Figure 6

The vertical structure of the total backscatter coefficient at 532 nm (km${}^{-\mathrm{1}}$ sr${}^{-\mathrm{1}}$) as a function of relative humidity: (a) climatological conditions, all aerosol profiles included; (b) ascending case, only when 700 hPa geopotential height is less than 25th percentile (P25); (c) descending case, only when 700 hPa geopotential height is greater than the 75th percentile (P75); and (d) expressed only as a function of relative humidity for two cases, i.e., free tropospheric aerosols (pressure $<\mathrm{850}$ hPa) and lower-tropospheric aerosols (pressure $>\mathrm{850}$ hPa).

[Figure omitted. See PDF]

The behavior of backscattering coefficients with RH in the free troposphere (above 850 hPa) and in the lower troposphere are shown in Fig. d. While there is only a gradual monotonous increase in the backscattering values relative to RH in the free troposphere, a significant increase is observed in the lower troposphere for relative humidities above 40 %. This is again an indication that the free troposphere may contain aerosols other than sea salt, which respond differently to changes in RH, while the lower troposphere is likely to be completely dominated by marine aerosol. Note that in the P25 case, there are very few observations available below 850 hPa where RHs are lower than 60 % leading to an artifact where there is a sudden increase in backscatter at the lower end. We focus now on the lower troposphere (solid lines) and values of RH $>\mathrm{50}$ %. At any given value of RH, we observe higher backscattering values for cyclonic (P25) than for anticyclonic conditions (P75). One possible explanation would be that elevated wind speeds with high aerosol emissions are more prevalent during cyclonic conditions.

The variability of aerosol extinction in the vertical in relation to RH evaluated as joint histograms is shown in Fig. . All the three weather states show similar features with varying magnitude. We clearly see two maxima in aerosol extinction – in the lower troposphere and in the upper troposphere, and the intensity of attenuation increases with increasing RH; this occurs more steeply in the lower troposphere. This indicates that the aerosol layer in the free troposphere has different hygroscopicity properties, which can be interpreted as another indication for the presence of long-range transported aerosols aloft that also contain aerosol species other than sea salt. This is further corroborated by the fact that the presence of aerosols in the free troposphere is evident in the extinction profiles but not in the backscattering profiles. This indicates that the aerosols in the free troposphere may be more strongly absorbing than typical marine aerosols. The increase in extinction with RH seen in the lower troposphere is similar to what is observed in aerosol backscatter. The sharp increase in attenuation occurs at 50 % RH and is associated with the presence of large aerosol particles. As expected, the extinction coefficient values are slightly lower in descending air masses compared to the cyclonic cases.

The extinction curves for varying relative humidities when partitioned into lower and free troposphere cases for the three weather states is shown in Fig. d. In the lower troposphere a steady increase in extinction and a sharp increase beyond 50 % RH is observed in all the cases. Extinction by marine aerosols is dominated by scattering. Thus, the extinction curves in the lower troposphere display a dependence on RH that is very similar to that of the backscattering curves in Fig. d. In the upper troposphere, the dependence of extinction on RH is much weaker, which we attribute to the presence of other, presumably less hygroscopic aerosol species. In contrast to the lower troposphere, the aerosol extinction is higher in the P75 case compared to the other two states in the free troposphere.

Figure 7

The same as in Fig.  but for the extinction coefficient (532 nm).

[Figure omitted. See PDF]

While backscatter coefficient and extinction coefficient are indicative of the presence of aerosols and their size, linear depolarization ratio gives information about the morphology of the aerosols, i.e., if the particles are spherical or nonspherical. Dry sea salt particles have shapes similar to cubes, which can have depolarization ratios up to but rarely exceeding 0.20 (see , and references therein). As more water is adsorbed, the particles become more spherical, and the salt core is partially or completely dissolved in the liquid coating. The depolarization ratio of homogeneous spheres is identically zero. Thus, the depolarization ratio should anti-correlate to the water content of the particles, which in turn depends on RH.

As seen in the earlier section, RH is one of the major factors that can impact the depolarization ratio of a particle. Here, we analyze the vertical distribution of this ratio as a function of RH for the three weather states (Fig. ). A clear separation is observed in the free and lower troposphere that is more prominent in the climatological mean and the cyclonic states. For RH $>\mathrm{60}$ %, low depolarization values are noticeable in the lower troposphere, which is an indication of the dominance of water-coated, mostly spherical sea salt particles. For RH $<\mathrm{60}$ %, there are instances when the aerosol depolarization increases in the boundary layer more prominently in the mean and anticyclonic cases, which can be associated with the presence of drier aerosol particles.

Figure 8

The same as in Fig.  but for the particulate depolarization ratio (532 nm).

[Figure omitted. See PDF]

As seen by comparison with Fig. , the region of high values of aerosol extinction in the upper troposphere coincides with high depolarization values irrespective of the RH values. Again, this indicates the presence of long-range transported aerosols of mixed composition, which evidently have water adsorption properties different from those of pure marine aerosols. However, the composition of these aerosols is unknown, and it may indeed be highly variable in space and time. It is therefore much more difficult to interpret this data. Figure d shows the depolarization ratio as a function of RH averaged over the geographic domain and the study period. High depolarization values at the lower end of the RH spectrum indicate the presence of non-spherical particles. For 40 % $<$ RH $<$ 100 % the depolarization in the lower troposphere is characterized by a steep but gradual decrease with increasing RH. This is true for all three weather states. However, we do not see any sudden changes in the depolarization ratio. One may have expected such changes at the efflorescence point or at the deliquescence point, at which pure sodium chloride could undergo rapid changes in water content and hence in shape. We can conclude that the decrease of the depolarization ratio with increasing RH in the lower troposphere is consistent with a change in sea salt morphology from nonspherical to spherical shape, which is caused by increased water adsorption with growing RH. However, our averaged data set does not display any evidence of sudden crystallization, deliquescence or hysteresis effects in water content. This does not rule out the existence of such effects, but discovering them will likely require a targeted investigation of individual cases rather than an analysis of temporally and geographically averaged large data sets. We note that for RH $<$ 35 % the P25 curve diverges from the climatological and the P75 curve. However, such low RH values during cyclonic conditions are rather rare. Thus, this part of the curve is based on fairly sparse data and may well be an artifact.

In Fig. , the vertical distribution of depolarization ratios is analyzed for two ranges of relative humidities that characterize drier and wetter atmospheric conditions over the southern oceans. The RH range between 20 % and 60 % is considered “dry” and when RH exceeds 60 % those air parcels are considered “wet”. The three curves show the three weather states. It can be clearly seen that the drier air masses always have substantially higher depolarization ratios in the lower atmospheric levels than the moist aerosols. However, this ratio decreases with height until 800 hPa and then increases. This behavior can also be seen in the color panels in Fig. . As mentioned earlier, we have two distinct aerosol layers, one marine aerosol layer near the surface and one mixed layer in the free troposphere. The region around 800 hPa marks the boundary between these layers that is characterized by low aerosol concentrations, which explains the minimum in the depolarization curve under dry conditions. By contrast, owing to the predominance of spherical shape, the wet aerosols have a low depolarization ratio despite their high concentration near the surface. Irrespective of the weather state, the ratio increases with height, indicating more non-spherical aerosols due to lack of moisture resulting from a decrease of RH in the vertical. The wet aerosols encountered during cyclonic conditions have higher depolarization ratios compared to those encountered during anticyclonic conditions. Again, above 800 hPa where we expect to find long-range transported mixed aerosol populations, the interpretation of the depolarization ratio and its dependence on the vertical coordinate and RH is rather elusive.

3.4 Fitting functions for the aerosol optical properties based on the observational analysis

Based on the analysis presented here, we propose simple statistical parameterizations for the aerosol optical properties as a function of the meteorological variables discussed here for climatological conditions. These statistical relationships can be used to evaluate the corresponding sea salt parameterization schemes used in climate models. For the aerosols below 850 hPa, optimal polynomials are fitted to express the dependency of aerosol backscatter and extinction on wind speed, relative humidity and temperature using the least squares approach. Equations (3) and (4) respectively define aerosol extinction and backscatter as a function of wind speed and relative humidity, whereas Eq. (5) defines aerosol backscatter as a function of wind speed and sea surface temperature. These parameterizations are as follows: $$\begin{array}{}\text{3}& {\displaystyle }\begin{array}{rl}{\mathrm{ext}}_{\mathrm{ws}}^{\mathrm{rh}}& =a\mathrm{3}\cdot {\mathrm{ws}}^{\mathrm{3}}+a\mathrm{2}\cdot {\mathrm{ws}}^{\mathrm{2}}+a\mathrm{1}\cdot \mathrm{ws}\\ & +b\mathrm{2}\cdot {\mathrm{rh}}^{\mathrm{2}}+b\mathrm{1}\cdot \mathrm{rh}+c,\end{array}\text{4}& {\displaystyle }\begin{array}{rl}{\mathrm{bak}}_{\mathrm{ws}}^{\mathrm{rh}}& =a\mathrm{3}\cdot {\mathrm{ws}}^{\mathrm{3}}+a\mathrm{2}\cdot {\mathrm{ws}}^{\mathrm{2}}+a\mathrm{1}\cdot \mathrm{ws}\\ & +b\mathrm{2}\cdot {\mathrm{rh}}^{\mathrm{2}}+b\mathrm{1}\cdot \mathrm{rh}+c,\end{array}\text{5}& {\displaystyle }\begin{array}{rl}{\mathrm{bak}}_{\mathrm{ws}}^T& =a\mathrm{3}\cdot {\mathrm{ws}}^{\mathrm{3}}+a\mathrm{2}\cdot {\mathrm{ws}}^{\mathrm{2}}+a\mathrm{1}\cdot \mathrm{ws}\\ & +b\mathrm{2}\cdot T^{\mathrm{2}}+b\mathrm{1}\cdot T+c,\end{array}\end{array}$$ where, ext, bak, ws, rh, and $T$ are aerosol extinction and backscatter (532 nm), wind speed (m s${}^{-\mathrm{1}}$), relative humidity (%), and sea surface temperature (K), respectively. The values of coefficients are provided in Table  below. Note that these dependencies are prepared for boundary layer aerosols (below 850 hPa), RH $>\mathrm{50}$ %, and ocean and ice-free surfaces.

Table 2

Coefficient values required for parameterizations shown in Eqs. (3)–(5).

Coefficient	ext${}_{\mathrm{ws}}^{\mathrm{rh}}$	bak${}_{\mathrm{ws}}^{\mathrm{rh}}$	bak${}_{\mathrm{ws}}^T$
$a\mathrm{3}$	$-$7.26389640e-06	$-$1.83516997e-08	3.34003672e-06
$a\mathrm{2}$	8.91368900e-04	2.65490114e-05	$-$2.05591699e-05
$a\mathrm{1}$	$-$6.77922228e-03	$-$2.02947001e-04	7.76695055e-05
$b\mathrm{2}$	$-$9.48527177e-05	$-$4.66224393e-06	$-$4.12577937e-06
$b\mathrm{1}$	1.47082752e-02	7.31508504e-04	2.39795430e-03
$c$	$-$4.54235227e-01	$-$2.43601733e-02	$-$3.43857316e-01

We further parameterized the dependency of aerosol depolarization on all the observed ranges of relative humidity. The depolarization decreases monotonically as the relative humidity increases. However, this decrease occurs in a stepwise function (Fig. ). Therefore, the following parameterization is proposed to represent this dependency. 6$${\mathit{\delta }}^{\mathrm{rh}}=a\cdot {\exp }^{-\left(b\mathrm{3}\cdot {\mathrm{rh}}^{\mathrm{3}}+b\mathrm{2}\cdot {\mathrm{rh}}^{\mathrm{2}}+b\mathrm{1}\cdot \mathrm{rh}\right)}+c,$$ where $a=\mathrm{1.15838914}e-\mathrm{1}$; $c=\mathrm{5.91111849}e-\mathrm{02}$; and $b\mathrm{3}$, $b\mathrm{2}$, and $b\mathrm{1}$ are 1.96280779e-05, $-$1.48341788e-03, and 4.13361512e-02, respectively.

4 Conclusions

A total of 70 % of the Earth's area is covered by water. Marine aerosols, especially sea salt, are therefore one of the dominant sources of the total aerosol load in the atmosphere. The significant climate implications of marine aerosols call for better understanding of their variability and coupling with local meteorological conditions. The Southern Ocean is unique in this context, as the boundary layer is relatively free from the influence of anthropogenic aerosols and dust (compared to the Northern Hemisphere oceans). During winter in the Southern Hemisphere, the influence of natural DMS emissions on the total aerosol load is also negligible over the Southern Ocean, allowing investigations of sea salt aerosols. Using 10 years of wintertime (June, July and August, 2007–2016) space-based profiling of aerosols by CALIOP-CALIPSO in combination with meteorological reanalysis data, we investigated the sensitivity of marine aerosol properties over the Southern Ocean to various meteorological parameters, such as relative humidity, near-surface wind speed and sea surface temperature in terms of joint histograms. The sensitivity study is done for the climatological conditions and during enhanced cyclonic (P25) and anticyclonic conditions (P75) in order to understand the impact of large-scale atmospheric circulation on aerosol properties. These conditions were defined based on the 700 hPa geopotential height being either below the 25th percentile (P25, cyclonic, ascending air masses) or above the 75th percentile (P75, anticyclonic, descending air masses).

The following conclusions are drawn based on this sensitivity analysis.

• a.

  A clear demarcation in the 532 nm aerosol backscatter and extinction at RH $\sim \mathrm{60}$ % can be seen irrespective of the state of the atmosphere. The backscatter and extinction increase at higher relative humidity as a function of wind speed. This is mainly because of the water uptake by the wind-driven sea salt aerosols at high RH near the ocean surface resulting in an increase in size, which is confirmed by the decreased depolarization for the wet aerosols.

• b.

  An increase in aerosol backscatter and extinction is observed during the anticyclonic conditions compared to cyclonic conditions for the higher wind speeds and relative humidity, mainly due to aerosols being confined to the boundary layer and because their proximity to the ocean surface facilitates the growth of the particles.

• c.

  At lower wind speeds, there is a very weak dependency of aerosol backscatter on SST. At wind speeds exceeding about 12 m s${}^{-\mathrm{1}}$, the backscattering coefficient generally increases with SST.

• d.

  When aerosol properties are investigated in terms of aerosol verticality and in relation to meteorological parameters, it is seen that the aerosol backscatter values in the free troposphere (pressure $<\mathrm{850}$ hPa) are much lower than in the boundary layer, irrespective of the RH and the three weather states. This indicates that the local emissions from the ocean surface make the dominant contribution to aerosol loads over the Southern Ocean.

• e.

  We see a pronounced dependence of backscattering on RH up to 850 hPa. Elevated values of RH entail a higher aerosol water content, and hence a larger mean aerosol radius, which results in higher values of the backscattering coefficient. This effect is very pronounced up to 850 hPa. In the free troposphere, no clear dependency of backscattering on RH can be seen.

• f.

  A clear separation of linear depolarization is observed in the free and lower troposphere. This is more prominent in the climatological mean and the cyclonic states. For RH $>\mathrm{60}$ %, low depolarization values are noticeable in the lower troposphere, which is an indication of the dominance of water-coated, mostly spherical sea salt particles. For RH $<\mathrm{60}$ %, there are instances when the aerosol depolarization increases in the boundary layer. This is more prominent in the mean and anticyclonic cases, which can be associated with the presence of drier aerosol particles. Under very dry conditions, the depolarization ratio of marine aerosols in the boundary layer can be as high as 0.16.

• g.

  Interpreting the verticality of aerosol properties (especially depolarization) in relation to the meteorological conditions in the free and upper troposphere (pressure $<\mathrm{850}$ hPa) is difficult and challenging in a statistical sense. The tracer transport studies are required to assess the contribution and mixing of anthropogenic and natural biomass burning pollutants in the free troposphere.

Figure 9

The vertical structure of depolarization ratio for two relative humidity groups when relative humidities are between 20 %–60 % (drier conditions, dashed lines) and between 60 %–100 % (wetter conditions, solid lines). The three colors show climatological, ascending (P25) and descending (P75) conditions.

[Figure omitted. See PDF]

This study elaborates on the relative importance of RH on the optical properties of sea salt over the southern oceans during SH winter months when other natural emissions and long-range transport of anthropogenic emissions are negligible. Although a handful of in situ measurements have been carried out using ship cruises and aircraft, this is the first study of its kind that has attempted a detailed mapping of the optical properties of sea salt in its natural environment on the basis of the three fundamental parameters that the emissions depend upon (RH, wind speed and sea surface temperature) and their vertical distribution purely from satellites. The generation of sea salt aerosols in the models is described in terms of source functions that depend on either one or more of the factors mentioned above for varying size ranges, and these are derived from lab, ship or aircraft measurements. These source functions are adapted depending on the model to get the emissions in the correct order so as to accurately estimate the total aerosol optical depth (for example, some models introduce a temperature dependency or alter the power factor so as to increase or decrease the wind speed dependency or include the super-micrometer-sized particles in the calculations). In addition, due to the high hygroscopicity of sea salt, the parameterization schemes simulate the emissions at 80 % RH . To introduce the variability of the water uptake by dry sea salt particles, recent models use hygroscopic growth factors at varying RH that are prescribed , are based on empirical equations or are explicitly calculated . The dependency of the aerosol optical properties on RH is of profound importance for climate forcing estimates, particularly in the case of sea salt as they can co-exist in both phases at the same time between 50 % and 70 % RH. This dependency also changes when sea salt particles are contaminated by other chemical species. In this context, the present study quantifies the variability in the sea salt aerosol optical properties on a range of observed relative humidities, surface temperatures and wind speeds over the Southern Ocean. We further provide the fitting functions for aerosol extinction and backscatter and depolarization ratio based on one or more of the meteorological parameters, such as wind speed, relative humidity and temperature, for naturally occurring sea salt, which can in turn help improve the source functions used in the sea salt parameterization schemes. Further insights are needed to map the behavior of the optical properties of sea salt when they are coated with other naturally occurring chemical components as is the case for the rest of the Earth's oceans.

Appendix A

Figure A1

The 700 hPa geopotential height distribution corresponding to the three cases (from a to c): ascending (P25), climatological and descending (P75) conditions.

[Figure omitted. See PDF]

Data availability

All data sets used here are publicly available. The links to the data sets are given below. The CALIPSO level 2 standard aerosol profile product (CAL_LID_L2_05kmAPro-Standard-V4-20) version 4.2, available at 5 km horizontal resolution, is used. The data are created by the NASA Langley Atmospheric Science Data Center (DAAC) and are accessible via https://asdc.larc.nasa.gov/project/CALIPSO/CAL_LID_L2_05kmAPro-Standard-V4-20_V4-20 (NASA/LARC/SD/ASDC, 2018). The AIRS satellite version 7 data set is used for the 700 hPa geopotential height and can be accessed via https://disc.gsfc.nasa.gov/datasets/ (last access: 11 September 2020). The data were processed at the Jet Propulsion Laboratory, California Institute of Technology (https://airs.jpl.nasa.gov/data/products/v7-L2-L3/, last access: 3 June 2021, Tian et al., 2020). The humidity and surface winds are taken from ERA5 reanalysis (10.1002/qj.3803; Hersbach et al., 2020) and are available at the Climate Data Store (CDS) via the following link: https://cds.climate.copernicus.eu/ (last access: 10 June 2021). The sea ice concentration from EUMETSAT's OSISAF 2017 is used and is available at https://osi-saf.eumetsat.int/products/osi-401-b (Tonboe et al., 2016).

Author contributions

MAT carried out the analysis and wrote the first draft of the manuscript. All authors contributed to the design of experiments, interpretation of the results and writing.

Competing interests

The contact author has declared that neither they nor their co-authors have any competing interests.

Disclaimer

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Acknowledgements

The authors acknowledge funding from the Swedish National Space Agency (project no. 126/19) provided for this study.

Financial support

This research has been supported by the Swedish National Space Agency (grant no. 126/19).

Review statement

This paper was edited by Jerome Brioude and reviewed by two anonymous referees.