Journal topic
Atmos. Chem. Phys., 20, 771–786, 2020
https://doi.org/10.5194/acp-20-771-2020
Atmos. Chem. Phys., 20, 771–786, 2020
https://doi.org/10.5194/acp-20-771-2020

Research article 22 Jan 2020

Research article | 22 Jan 2020

# Natural sea-salt emissions moderate the climate forcing of anthropogenic nitrate

Natural sea-salt emissions moderate the climate forcing of anthropogenic nitrate
Ying Chen1,2,3,9, Yafang Cheng2, Nan Ma4,2,3,1, Chao Wei3, Liang Ran5, Ralf Wolke6, Johannes Größ1, Qiaoqiao Wang4, Andrea Pozzer7, Hugo A. C. Denier van der Gon8, Gerald Spindler10, Jos Lelieveld7,11, Ina Tegen6, Hang Su3, and Alfred Wiedensohler1 Ying Chen et al.
• 1Department Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig, Germany
• 2Minerva Research Group, Max Planck Institute for Chemistry, Mainz, Germany
• 3Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
• 4Center for Pollution and Climate Change Research (APCC), Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
• 5Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
• 6Modelling of Atmospheric Processes, Leibniz Institute for Tropospheric Research, Leipzig, Germany
• 7Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
• 8TNO, Department of Climate, Air and Sustainability, Princetonlaan 6, Utrecht, the Netherlands
• 9Lancaster Environment Centre, Lancaster University, Lancaster, UK
• 10Atmospheric Chemistry Department, Leibniz Institute for Tropospheric Research, Leipzig, Germany
• 11The Cyprus Institute, Nicosia, Cyprus

Correspondence: Yafang Cheng (yafang.cheng@mpic.de) and Ying Chen (chen@tropos.de)

Abstract

Natural sea-salt aerosols, when interacting with anthropogenic emissions, can enhance the formation of particulate nitrate. This enhancement has been suggested to increase the direct radiative forcing of nitrate, called the “mass-enhancement effect”. Through a size-resolved dynamic mass transfer modeling approach, we show that interactions with sea salt shift the nitrate from sub- to super-micron-sized particles (“redistribution effect”), and hence this lowers its efficiency for light extinction and reduces its lifetime. The redistribution effect overwhelms the mass-enhancement effect and significantly moderates nitrate cooling; e.g., the nitrate-associated aerosol optical depth can be reduced by 10 %–20 % over European polluted regions during a typical sea-salt event, in contrast to an increase by ∼10 % when only accounting for the mass-enhancement effect. Global model simulations indicate significant redistribution over coastal and offshore regions worldwide. Our study suggests a strong buffering by natural sea-salt aerosols that reduces the climate forcing of anthropogenic nitrate, which had been expected to dominate the aerosol cooling by the end of the century. Comprehensive considerations of this redistribution effect foster better understandings of climate change and nitrogen deposition.

1 Introduction

Particulate nitrate (${\mathrm{NO}}_{\mathrm{3}}^{-}$) is one of the most important anthropogenic aerosol components that exerts a climate cooling effect (IPCC, 2013; Haywood and Schulz, 2007). On a global scale, its average direct radiative forcing (DRF) has been estimated to span over a relatively wide range from −0.08 to −0.19 W m−2 (Liao et al., 2004; Liao and Seinfeld, 2005; IPCC, 2013; Xu and Penner, 2012; Haywood and Schulz, 2007; Myhre et al., 2013; Forster et al., 2007; Adams et al., 2001; Bauer et al., 2007; Jacobson, 2001; Streets et al., 2013; van Dorland et al., 1997). It is projected to reach up to about −0.4 to −1.3 W m−2 and dominate the aerosol cooling by the end of the century (Adams et al., 2001; Bellouin et al., 2011; Hauglustaine et al., 2014). Although the gaseous precursors of nitrate, e.g., NOx (NO+NO2) and HNO3, are mainly of anthropogenic origin, globally about 35 %–50 % of the nitrate mass is associated with natural sea-salt aerosol (Xu and Penner, 2012; Myhre et al., 2006). This is because sea-salt aerosol can be transported over industrialized regions, interacts with anthropogenic precursors of nitrate and enhances the total nitrate column loading in the atmosphere through heterogeneous uptake of HNO3 and its precursors (Liao et al., 2004; Liao and Seinfeld, 2005; Seinfeld and Pandis, 2006; Xu and Penner, 2012; Ravishankara, 1997; Lowe et al., 2015). Such sea-salt-induced nitrate mass increase is believed to strengthen the DRF and climate cooling of nitrate (Liao and Seinfeld, 2005), called the “mass-enhancement effect”.

However, not only the mass concentration but also the particle mass size distribution (PMSD) is essential for evaluating the direct radiative forcing of nitrate (DRFnitrate) (IPCC, 2013; Murphy et al., 1998; Kok et al., 2017). Besides leading to the increase of total nitrate mass, interactions with sea-salt aerosol also have a “redistribution effect” on nitrate PMSD, which shifts nitrate from sub- to super-micron sizes (e.g., Chen et al., 2016a; see also Fig. 1). Because sea-salt aerosol is mainly present as super-micron (coarse) particles (Murphy et al., 1998; O'Dowd et al., 1997; Ravishankara, 1997), chemical equilibrium favors the formation of thermodynamically stable sodium nitrate in the coarse mode, which inhibits the formation of semivolatile ammonium nitrate in the submicron size (fine mode) through competitive consumption of gaseous precursors and change in the gas–particle equilibrium (Chen et al., 2016a; Zaveri et al., 2008; Myhre et al., 2006). Compared to the fine particles, coarse particles have a significantly lower extinction efficiency in the visible part of the spectrum (IPCC, 2013; Murphy et al., 1998); the sea-salt-induced redistribution effect thus tends to weaken DRFnitrate, which counteracts the mass-enhancement effect. The competition between these two effects will ultimately determine the net impact of sea-salt aerosol on anthropogenic DRFnitrate. To the best of our knowledge, this sea-salt-induced redistribution effect is neglected in most global models, due to the computationally expensive calculations of fully dynamic mass transfer between size-resolved particulate nitrate (Adams et al., 2001; Myhre et al., 2006); for more details, see the Supplement Sect. S1.

Figure 1Concept of the redistribution effect induced by sea-salt aerosol.

To explore the competition between the sea-salt-induced mass-enhancement effect and redistribution effect and the impact of the redistribution process on the nitrate cooling of climate, we conducted a series of sensitivity studies with and without sea-salt aerosol emission for a typical sea-salt event over Europe and North America, using a regional atmospheric chemistry model (WRF-Chem) with a fully dynamic mass transfer approach (Zaveri et al., 2008); see “Data and methods” for details. A 1-year simulation with the EMAC (ECHAM5/MESSy Atmospheric Chemistry) model is used to demonstrate the importance of the redistribution effect on a global scale (Jöckel et al., 2010).

2 Data and methods

## 2.1 Observations

The HOPE campaign (HD(CP)2 Observational Prototype Experiment, Macke et al., 2017) was carried out during 10–20 September 2013 at Melpitz, Germany (51.53 N, 12.93 E; 86 m a.s.l.). Melpitz represents the regional background of central Europe (Spindler et al., 2012), with flat surrounding topography over an area of hundreds of square kilometers, ranging 100–250 m a.s.l.

Size-segregated measurements of particle composition were carried out on 13 and 18 September, which represent the continental period and marine period, respectively (see back-trajectories in Fig. S1 in the Supplement). A five-stage Berner impactor (Hauke, Austria, 0.05–0.14, 0.14–0.42, 0.42–1.2, 1.2–3.5 and 3.5–10 µm; Berner and Luerzer, 1980) was operated to segregate particles onto ring-like prebaked (350 C) aluminum foils with a sampling period of 24 h (00:00–24:00, local time) for detailed chemical analyses (Spindler et al., 2012). The isokinetic inlet for particles with an aerosol dynamic diameter smaller than 10 µm was installed 6 m above the ground. To compare with modeling results, we use the sum of the particle mass at stage 1–3 (PM1.2, aerosol dynamic diameter smaller than 1.2 µm) to represent fine-mode particles and the sum of the mass at stages 4–5 (PM1.2–10, aerosol dynamic diameter smaller between 1.2 and 10 µm) to represent coarse-mode particles. The gravimetric mass of the preheated aluminum foils was weighted before and after the sampling process, by a microbalance (UMT-2, Mettler-Toledo, Switzerland). Before each weighting, the aluminum foils were equilibrated for at least 72 h in a strictly controlled environment with a temperature of 20±1C and a relative humidity of 50±5 %. After an aqueous extraction of foil aliquots, the main water-soluble cations (Na+, ${\mathrm{NH}}_{\mathrm{4}}^{+}$, K+, Mg2+ and Ca2+) were quantified by standard ion chromatography (Neusüß et al., 2000). Likewise, capillary electrophoresis (Neusüß et al., 2000) was carried out to quantify the anions (${\mathrm{NO}}_{\mathrm{3}}^{-}$, ${\mathrm{SO}}_{\mathrm{4}}^{\mathrm{2}-}$ and Cl). A carbon analyzer (Behr Labor-Technik, Germany) was used to separate and measure the sampled organic and elemental carbon with a two-step thermographic method (modified VDI method 2465 part-2; Spindler et al., 2012). Organic carbon was vaporized at 650 C for 8 min under N2 and catalytically converted to CO2; the remaining elemental carbon was combusted for another 8 min with O2 at 650 C. Generated CO2 was then quantitatively determined using a nondispersive infrared detector.

Figure 2Model results of mass concentration of each chemical compound in eight size bins at Melpitz. The results shown here are averaged during 17 September 2013 when marine air masses started approaching Melpitz. Sodium is used as an indicator of sea-salt aerosol. (a) Result of the “Case_SeasaltOff” simulation (without sea-salt emission). (b) Result of the “Case_SeasaltOn” simulation (with sea-salt emission). The differences between particulate nitrate mass concentration (Δ[${\mathrm{NO}}_{\mathrm{3}}^{-}$]) in each size bin are marked.

## 2.2 Model description

We performed regional model simulations with the “online coupled” air quality model Weather Research and Forecasting with Chemistry model (WRF-Chem V3.5.1; Grell et al., 2005). WRF-Chem enables more detailed investigation of aerosol–radiation interaction over specific regions at higher horizontal resolution compared with global models, and it has been broadly used for investigating aerosol radiative forcing in previous studies (e.g., Archer-Nicholls et al., 2019; Fast et al., 2006; Saide et al., 2012; Gao et al., 2018; Yao et al., 2017; Huang et al., 2015). To investigate the impact of redistribution effect on PMSD and climate effect of nitrate, the fully dynamic aerosol module MOSAIC (Zaveri et al., 2008) was utilized with eight discrete size bins (39–78, 78–156, 156–312, 312–625, 625–1250 nm, 1.25–2.5, 2.5–5, 5–10 µm; see also Fig. 2), with the online coupled CBMZ (Carbon-Bond Mechanism version Z) gas chemistry scheme (Zaveri and Peters, 1999). In MOSAIC, NaCl reacts irreversibly with nitric acid with its equilibrium surface vapor pressure of zero; a gas–particle partitioning approach ASTEM (Adaptive Step Time-Split Euler Method) is coupled with a thermodynamic module (MESA-MTEM, Multicomponent Equilibrium Solver for Aerosols – Multicomponent Taylor Expansion Method) to dynamically calculate the equilibrium vapor pressure and condensation rate of semivolatile ammonium nitrate; details are given in the Sect. 4 of Zaveri et al. (2008). We note that heterogeneous hydrolysis of N2O5 with NaCl is an important chemical pathway of particulate nitrate in coarse mode during nighttime (Bertram and Thornton, 2009; Archer-Nicholls et al., 2014). This process may enhance the redistribution effect; however, it is not considered in this study. The sea-salt emissions computed with the modified Gong scheme (Gong, 2003) were reduced to 10 % in the “Case_SeasaltOn” simulation , because a previous study (Chen et al., 2016a) has shown that the original Gong scheme overestimates the sea-salt mass concentrations by a factor of ∼10 over the coastal regions of Europe using the WRF-Chem model. We note that although the mass of coarse sea-salt particles is certainly overestimated, it might not necessarily indicate overestimation in fine sea-salt particles related to their minor contribution to the total mass. The sea-salt emission was turned off in the “Case_SeasaltOff” simulation. We calculate the DRF and aerosol optical depth of anthropogenic nitrate at the top of the atmosphere for both sea-salt emission cases, based on the difference in the net incoming radiative flux with and without the anthropogenically emitted gas-phase precursor NOx (IPCC, 2013; Xu and Penner, 2012). Only the model results during daytime (07:00–16:00, local time) and under clear-sky condition (cloud optical depth equals to zero) were used for the analyses of DRF in this study.

WRF-Chem calculated aerosol optical depth (AOD) and direct radiative effect of total aerosols based on the internal mixture assumption and taking the hygroscopicity into account. In order to calculate the light extinction coefficient and optical depth for individual aerosol species, we performed the following off-line calculation. The AOD of each species is calculated by integrating light extinction coefficient (σex) over all vertical layers. The σex of sea salt (NaCl) and particulate nitrate were calculated with Mie theory, based on their PMSD. Different from the WRF-Chem calculation of total aerosol AOD, an external mixture was assumed for nitrate and sea-salt particles when calculating their respective contributions on σex or AOD. Hygroscopic growth was also considered, following the κ-Köhler theory (Köhler, 1936; Petters and Kreidenweis, 2007).

## 2.3 European simulation

The European simulations focus on the HOPE-Melpitz campaign period of 10–20 September 2013, during which a sea-salt event that influenced most of Europe was captured. The simulations are defined by two nested domains with horizontal resolutions of 54 and 18 km and 39 vertical layers with model top at 50 hPa. The coarse domain (D01) covers the North Sea, the European continent and the northern part of Africa; the inner domain (D02) covers most of the North Sea and the European continent (Fig. S2). The European anthropogenic emission inventories are provided by TNO (https://www.tno.nl, last access: 17 January 2020), from the AQMEII project (Air Quality Model Evaluation International Initiative) for PM2.5, PM2.5–10, NOx, SO2, CO, NH3 and nonmethane volatile organic compounds (Pouliot et al., 2012; Chen et al., 2018b), and from the EUCAARI project (European Integrated project on Aerosol, Cloud, Climate, and Air Quality Interactions) for particulate organic carbon and elemental carbon (Kulmala et al., 2011). The inventories are with a spatial resolution of $\mathrm{1}/\mathrm{8}{}^{\circ }×\mathrm{1}/\mathrm{16}{}^{\circ }$ longitude–latitude. We excluded the point source emissions of elemental carbon in the EUCAARI inventory over Germany since a previous study (Chen et al., 2016b) reported large uncertainty for them. More details about emissions and meteorological and chemical initial and boundary conditions can be found in Sect. S2. Detailed information about the model configuration is given in Table 1.

Table 1Configurations of WRF-Chem.

In the European Case_SeasaltOn simulation (with sea-salt emission), modeled [Na+] showed good agreement with measurements over coastal regions from the European Monitoring and Evaluation Programme (EMEP, https://www.emep.int, last access: 17 January 2020), with a factor (and correlation coefficient) of 0.85 (0.67), 1.16 (0.80) and 0.83 (0.87) for Bilthoven, Kollumerwaard and Vredepeel (Fig. S3), respectively. Compared with ground-based measurements at Melpitz and radio-sounding measurements across Europe, the meteorological conditions were well captured by the model (Chen et al., 2016a). Vertical structures of potential temperature and wind speed were realistically reproduced, with correlation coefficients between simulation and measurement results of ∼0.9 over coastal, German lowland (Melpitz) and northern Polish regions (Chen et al., 2016a). In line with previous studies (Xu and Penner, 2012; Li et al., 2013), the modeled AOD agreed reasonably well with the AERONET observations ( AErosol RObotic NETwork, http://aeronet.gsfc.nasa.gov, last access: 17 January 2020). The spatial distribution of AOD can be generally captured by the model (R=0.64), although the model may overestimate AOD by a geometric mean bias of 70 % (see Sect. S3 for details).

## 2.4 North America and global simulations

To investigate the significance of the redistribution effect in a broader spatial scale, we also conducted WRF-Chem simulations over North America, where high concentrations of nitrate were usually observed. We focus on the period of 10–17 January 2015, when strong continental outflow interacted with marine air masses over the Gulf of Mexico. The North American domain covers the US, the Gulf of Mexico and parts of the Pacific and Atlantic oceans, with a horizontal resolution of 36 km. In addition, a 1-year simulation with global model (EMAC) was carried out for analysis of the potential impact of redistribution effect on a global scale. Although the fully dynamic mass transfer between particle sizes is not considered in EMAC (four size modes rather than eight size bins as applied in the WRF-Chem model), we adopt a parameterization derived from WRF-Chem simulations to estimate the potential impact (details given in Sect. 3.5). More details of EMAC model and its aerosol module are described in our previous work (Pozzer et al., 2012; Klingmüller et al., 2014; Pringle et al., 2010). The global simulation was run at T106L31 resolution, corresponding to a quadratic Gaussian grid of approximately $\mathrm{1.1}{}^{\circ }×\mathrm{1.1}{}^{\circ }$ (in latitude and longitude) and with 31 levels in the troposphere. The global emission inventory EDGAR (V4.3, 2010, https://edgar.jrc.ec.europa.eu, last access: 17 January 2020) was used in the North American and global simulations.

3 Results and discussion

## 3.1 Sea-salt-induced redistribution effect

Marine air masses frequently influence, up to 90 % of the days in a year, central Europe (Birmili et al., 2001; Fig. 2). The interaction between anthropogenic pollutants and sea-salt aerosol commonly happens in the atmosphere. In this study, we performed a series of numerical sensitivity experiments during a typical sea-salt transport event from 10 to 20 September 2013 during the HOPE-Melpitz campaign. During the campaign, central Europe was dominated by continental air masses before 15 September. Subsequently, marine air masses started traveling over land on 17 September, and sea-salt aerosol originating from the North Sea and the Baltic Sea was transported to northern Poland and dominated central Europe on 19 September (Fig. 3). Sea salt is emitted into the marine planetary boundary layer (PBL) with a mass concentration dominated by coarse particles, usually with a short lifetime and a limited transport range. Previous studies showed that the special PBL thermodynamic structure over coastal regions (Ding et al., 2004) can bring sea salt from the marine PBL to the continental free troposphere, and therefore prolonging its lifetime and favoring long-range transport (see the Fig. 11 of Chen et al., 2016a). Afterwards, the sea salt aloft could be mixed down to the surface layer by the fully developed PBL (Chen et al., 2009, 2016a) and interact with anthropogenic nitrate. Therefore, this transport mechanism broadens the sea-salt-induced redistribution effect on nitrate to a larger spatial scale.

Figure 3Surface sodium mass concentration over Europe domain at 12:00 local time (LT) on 19 September 2013. The 10 m wind is indicated by the gray arrows. The results are based on Case_SeasaltOn. Westerland, Waldhof, Zingst, Bilthoven, Kollumerwaard, Vredepeel, Melpitz, central Europe and northern Poland regions are marked.

Figure 4Observed and simulated mass fraction of particulate nitrate in fine and coarse modes at Melpitz, Germany. (a) Observation based on the Berner impactor measurements. (b) WRF-Chem Case_SeasaltOn simulation, i.e., with sea-salt emission. (c) WRF-Chem Case_SeasaltOff simulation, i.e., without sea-salt emission. The results are grouped into continental (black bar) and marine (red bar) air mass types. According to the size-cuts of the Berner impactor, the size ranges of the fine- and coarse-mode particles are defined as PM1.2 (particles with an aerodynamic diameter smaller than 1.2 µm) and PM1.2–10 (particles with an aerodynamic diameter larger than 1.2 µm and smaller than 10 µm), respectively.

As shown in Fig. 4a and b, the Case_SeasaltOn simulation successfully reproduces the redistribution effect of nitrate when the dominating air mass changed from a continental to marine type at the central Europe background site Melpitz. Measurements and model results both show an ∼10 times increase of sodium concentration ([Na+], indicator of sea-salt aerosol) in the coarse mode when marine air masses approached (Fig. S4). While the nitrate mass fraction in the coarse mode was enhanced by a factor of ∼5.5, its concentration ([${\mathrm{NO}}_{\mathrm{3}}^{-}$]) in the fine mode was lowered by ∼20 % (Fig. 4b). A clear redistribution of particulate nitrate from fine to coarse mode is found when introducing sea salt in Case_SeasaltOn, with negligible changes in other particulate species except sea salt (Fig. 2). Conversely, without introducing sea-salt aerosol, Case_SeasaltOff did not capture the redistribution effect, and the nitrate mass in the fine mode (∼97 %) dominated in both continental and marine air masses (Fig. 4c).

## 3.2 Moderation of nitrate cooling by the redistribution effect

Figure 5 shows the strong impact of the redistribution effect on nitrate cooling when a marine air mass transported further inland and predominated over Europe on 19 September. Although sea-salt aerosol leads to an overall enhancement of nitrate column loading (∼1 mg m−2, Fig. S5) compared to Case_SeasaltOff, the nitrate-associated aerosol optical depth (AODnitrate) decreases significantly over the relatively polluted continental regions (Fig. 5a), leading to a strongly weakened cooling effect of nitrate in those regions (positive change in DRFnitrate in Fig. 5b). We find that the regions of reduced AODnitrate co-locate with the regions of reduced fine mode [${\mathrm{NO}}_{\mathrm{3}}^{-}$] (bluish colored areas in Fig. 5a and c). Over a large area of the European continent, the redistribution effect shifts the nitrate PMSD from the fine to the coarse mode (Fig. 5c, d), resulting in much less efficient light scattering of nitrate aerosol with a reduced cooling effect. The box with a solid black frame in Fig. 5 marks a region in northern Poland, where sea-salt aerosol strongly interacted with anthropogenic precursors of nitrate during the studied sea-salt event. In this region, the redistribution effect leads to a decrease in column nitrate loading in the fine mode by ∼2.9 mg m−2 (Fig. 5c) accompanied by an increase of ∼3.7 mg m−2 in the coarse mode due to the mass-enhancement effect (Fig. 5d). Consequently, anthropogenic AODnitrate is significantly reduced by up to ∼30 % with an average reduction of ∼22 % (∼0.05 in absolute AOD value, Fig. 5a), despite a ∼0.8 mg m−2 net increase in total nitrate loading. This results in a 5 %–70 % reduction in nitrate cooling, on average by ∼26 % (Fig. 5b). Our results demonstrate that the sea-salt-induced redistribution effect overwhelms the mass-enhancement effect over polluted regions, thus moderating the anthropogenic nitrate cooling.

Figure 5Influence of sea salt on the abundance and direct radiative forcing of nitrate. (a) Differences (Case_SeasaltOn – Case_ SeasaltOff) between simulations with and without sea-salt emission in aerosol optical depth (ΔAODnitrate), (b) direct radiative forcing (ΔDRFnitrate), and column loading of nitrate (ΔNitrate) for the (c) fine- and (d) coarse-mode particles, during daytime, i.e., 07:00–16:00 local time (LT) on 19 September 2013. The northern Poland and Mediterranean regions are marked by boxes with solid and dashed black frames, respectively.

Figure 6Sensitivity of aerosol optical depth (ΔAOD) as a function of sodium mass concentration ([Na+]). Differences between Case_SeasaltOff and sensitivity cases (sea-salt emission with different scaling factors) for different aerosol components, i.e., nitrate (ΔAODnitrate) and sea salt (ΔAODNaCl): ΔAOD (sensitivity case – Case_SeasaltOff) versus [Na+] over northern Poland (a) and Mediterranean regions (b), respectively. The model results shown here are averages over a sea-salt event during daytime (07:00–16:00 LT) on 19 September 2013. The results of surface [${\mathrm{NO}}_{\mathrm{3}}^{-}$] are indicated by the dashed green line. Here, the Case_SeasaltOff is the reference case and Case_SeasaltOn is marked. Note: ΔAOD${}_{\mathrm{nitrate}}^{\ast }$ (dashed pink line) indicates the ΔAOD of nitrate calculated by reallocating nitrate mass into different size bins according to the normalized nitrate particle mass size distribution simulated in Case_SeasaltOff (i.e., without redistribution effect). (c) The measured [Na+] at different sites over Sweden as a function of coast distance, as well as in Germany (marked in Fig. 3) and the US. The box-and-whisker plots of the references marked (1)–(8) indicate the median, mean (black dot), 25th percentile, 75th percentile, maximum and minimum. The error bar of reference no. (9) indicates the range. The dashed blue line of reference no. (10) indicates the statistically empirical function of [Na+] with distance from coast, based on the network measurements of 16 sites in Sweden.

The resulting decrease of nitrate cooling is nonlinear with respect to the sea-salt aerosol loading due to the competition between sea-salt-induced mass-enhancement effect and redistribution effect. To investigate the net impact of this competition, we performed a series of sensitivity simulations with different sea-salt aerosol emission scaling factors (0, 0.5, 1, 2, 3, 4, 5, 6, 8 and 10, the ones with scaling factors of 0 and 1 being our Case_SeasaltOff and Case_SeasaltOn, respectively). As a surrogate of aerosol DRF, the AOD of nitrate and sea-salt aerosol was calculated offline based on the simulated PMSD (see “Data and methods”). Over the region in northern Poland (box with solid frame in Fig. 5), total [${\mathrm{NO}}_{\mathrm{3}}^{-}$] (green dashed line in Fig. 6a) increased continuously as a function of [Na+], which is in line with previous estimates and clearly shows the mass-enhancement effect (Liao and Seinfeld, 2005). However, the redistribution effect overwhelms the mass-enhancement effect in this region, and the AODnitrate drops significantly by ∼29 % (red solid line in Fig. 6a) when the scaling factor of sea-salt aerosol is 1 (Case_SeasaltOn). Note that this is slightly higher than the average ∼22 % from the online calculation, due to the difference in aerosol mixing state, i.e., internal mixing of aerosol compositions in the online calculation and external mixing in the off-line calculation. The reduction in AODnitrate reaches a maximum of ∼50 % (∼0.09 in absolute AOD value) when [Na+] is ∼2.5µg m−3 or higher, which is a level of sea-salt aerosol that has been often observed in central Europe (Fig. 6c; Gustafsson and Franzén, 2000; Neumann et al., 2016; Gantt et al., 2015). A similar net reduction in AODnitrate is also found for central Europe (marked in Fig. 3), where the overall moderation is ∼13 % compared to Case_SeasaltOff (Fig. S6a). To further demonstrate the influence of the redistribution effect on nitrate cooling, we calculate the ΔAODnitrate by reallocating nitrate mass into different size bins according to the normalized nitrate PMSD simulated in Case_SeasaltOff, i.e., by neglecting the redistribution effect (ΔAOD${}_{\mathrm{nitrate}}^{\ast },$ pink dashed line in Fig. 6a). A distinct opposite trend, of increasing AOD${}_{\mathrm{nitrate}}^{\ast }$ with increasing [${\mathrm{NO}}_{\mathrm{3}}^{-}$] (green dashed line), would result when the redistribution effect was neglected. For example, instead of a decrease by 29 %, the AOD${}_{\mathrm{nitrate}}^{\ast }$ over the region of northern Poland increases by ∼8 % from the Case_SeasaltOff to Case_SeasaltOn simulation.

It is noteworthy that the increasing rate of [${\mathrm{NO}}_{\mathrm{3}}^{-}$] decreases as [Na+] further increases. There is even a slight decrease of [${\mathrm{NO}}_{\mathrm{3}}^{-}$] when [Na+] exceeds ∼5µg m−3 (Fig. 6a). This is mostly due to the consumption of nitrate precursor and stronger deposition of particulate nitrate by redistribution toward larger particles sizes and, thus, shorter lifetimes. The lifetime of nitrate particles can be shortened from about a week to 1 d by shifting from the fine to the coarse mode (Croft et al., 2014; Chen et al., 2016b) further moderating the nitrate cooling effect. Moreover, coarse-mode nitrate associated with highly hygroscopic sea salt enhances its water uptake (Chen et al., 2018a) and cloud condensation nuclei activation (Xu and Penner, 2012; Wang and Chen, 2019), increasing its deposition and scavenging rate Itahashi et al. (2016) reported that oxidized nitrogen deposition can be enhanced by 1.6–2.2 times over ocean regions in East Asia by including sea-salt-associated nitrate. Liao and Seinfeld (2005) implied a similar enhancement for sulfate deposition associated with sea salt and dust, which resulted in a decrease in sulfate concentrations in downwind regions. Our study implies the enhancement of nitrate deposition. As one can see in Fig. 6a, nitrate concentration (green dashed line) firstly increases with increasing sea salt and then slightly declines when the amount of sea salt (represented by sodium) exceeds a certain level. An inflection point is observed when the sodium concentration approached 5.5 µg m−3 (sea-salt emission factor of 8); the nitrate starts to decrease as sodium further increases (sea-salt emission factor of 10). The enhancement of nitrate deposition should be the reason of this phenomenon. To demonstrate this, we conducted a sensitivity simulation with aerosol dry deposition turned off. We found that nitrate concentration kept increasing from 10.91 to 11.02 µg m−3 when sea-salt emission factors increased from 8 to 10, instead of showing a decreasing trend as in the simulations with aerosol dry deposition turned on. This indicates an enhanced deposition of nitrate by interaction with sea salt, which shortens nitrate lifetime and can further reduce nitrate cooling.

## 3.3 Competition between redistribution effect and mass-enhancement effect

As a result of competition between the sea-salt-induced redistribution effect and mass-enhancement effect, a clear spatial inhomogeneity can be found in Fig. 5. The redistribution effect decreases AODnitrate over the polluted continental regions, while the mass-enhancement effect increases AODnitrate mostly over marine areas (Fig. 5a), although the absolute enhancement is rather small due to the low [${\mathrm{NO}}_{\mathrm{3}}^{-}$] in this environment. For example, over the Mediterranean Sea (marked by the box with a dashed black frame in Fig. 5), the AODnitrate increases by ∼0.01 and the cooling effect of nitrate is amplified by ∼0.54 W m−2 (negligible without introducing sea-salt aerosol). A sensitivity study also shows a monotonic increase of AODnitrate with [Na+] over the Mediterranean Sea (Fig. 6b), indicating a dominant role of the mass-enhancement effect over regions with limited anthropogenic influence.

Thus, abundant sea-salt aerosol and pre-existing fine-mode nitrate (as if there was no sea-salt aerosol influence in Case_SeasaltOff) favor an efficient redistribution effect that reduces AODnitrate and moderates nitrate cooling. To compare the relative importance of the sea-salt-induced redistribution effect and mass-enhancement effect on anthropogenic nitrate cooling, we conducted statistical analysis of the molar ratio between fine nitrate in Case_SeasaltOff and total sodium in Case_SeasaltOn (called RNS, RNS = $\left[{\mathrm{NO}}_{\mathrm{3}}^{-}\right]/\left[{\mathrm{Na}}^{+}\right]$ in mol mol−1) with relation to the percentage change in nitrate AOD (surrogate of DRFnitrate) between the two cases, i.e., (AODnitrate Case_SeasaltOn – AODnitrate Case_SeasaltOff)/AODnitrate Case_SeasaltOn. We found that the redistribution effect tends to be strong enough to overwhelm the mass-enhancement effect when the RNS value is in the range of about 1 to 30, corresponding to ∼70 % of the data points in the European domain, as detailed in the Supplement (Fig. 7c and Sect. S4). Note that only the surface concentrations were used for calculating the RNS, because fine-mode ammonium nitrate is mostly limited in the surface layer because emissions of NH3 are in the surface layer. The sea salt (or sodium) aloft during the transport process (as discussed in Sect. 3.1) did not exert the redistribution effect before being mixed down to the surface layer, and it should not be included in the analysis. Therefore, we carried out a statistical analysis with surface nitrate and sodium concentrations to draw a more robust conclusion. When the redistribution effect is sufficiently strong, the net reduction in AODnitrate may even counteract the AOD enhancement contributed by the additional sea-salt aerosol loading and lead to an overall reduction in total AOD in many regions in Europe (Fig. S6b and Sect. S5).

Figure 7Intensity of the redistribution effect as a function of molar ratio between surface fine nitrate and total sodium (RNS) over the European domain. (a) The intensity of the redistribution effect is calculated as the difference in percentage between AODnitrate and AOD${}_{\mathrm{nitrate}}^{\ast }$ in Case_SeasaltOn; (b) the intensity of mass-enhancement effect. The black dots indicate the mean values; the upper and lower error bars indicate the 75th and 25th percentiles, respectively; (c) the net effect of mass-enhancement and redistribution effects; the color indicates the frequency distribution (i.e., how many counts) of the hourly model results over the entire European domain during 16–20 September 2013. The coverage of model results between the two dashed light-blue lines is ∼70 %.

## 3.4 The redistribution effect over Europe

Due to the frequent interactions between sea-salt aerosol and polluted air masses (Myhre et al., 2006; Xu and Penner, 2012), the moderation of nitrate cooling is expected to be common over Europe, where the lower atmosphere is characterized by RNS values between 1 and 30 (Fig. 7). As discussed above (Figs. 6a and S6), considerable moderation is expected over inland and central Europe, where [Na+] > 2.5 µg m−3 is observed frequently (Gustafsson and Franzén, 2000, also see Fig. 6c). Such moderation could be even more relevant over coastal and continental outflow regions of North America and Southeast Asia (discussed in the next section), where high loadings of nitrate were observed and found to be significantly associated with sea-salt aerosol (30 %–90 % of total nitrate) (Xu and Penner, 2012).

To quantify the possible overestimation of nitrate radiative forcing when only the sea-salt-induced mass-enhancement effect was treated but not the redistribution effect, a similar statistical analysis (Fig. 7a) is conducted for the percentage change in nitrate AOD between the AODnitrate in Case_SeasaltOn and the corresponding AOD${}_{\mathrm{nitrate}}^{\ast }$, i.e., (AODnitrate – AOD${}_{\mathrm{nitrate}}^{\ast }$)/AODnitrate. As described before, AODnitrate stands for the case where both mass-enhancement and redistribution effects have been accounted for Case_SeasaltOn, while only the mass-enhancement effect is accounted for in AOD${}_{\mathrm{nitrate}}^{\ast }$. Figure. 7b shows that the AOD${}_{\mathrm{nitrate}}^{\ast }$ could increase by 5 %–30 % when introducing sea salt and only the mass-enhancement effect is considered. Conversely, the statistics show that the redistribution effect tends to significantly reduce the nitrate AOD by 10 %–20 % when there is abundant sea salt interacting with anthropogenic nitrate (RNS < ∼30, Fig. 7a). Note that this estimation of percentage reduction in AODnitrate is robust (may be slightly conservative), despite the overestimation of particulate nitrate over Europe (Sect. S6). The uncertainty in deposition parameterizations could be one reason of this overestimation, as suggested by the overestimation of sea-salt particles as well (Chen et al., 2016a) and the underestimation of nitrogen deposition over Europe in many models (Vivanco et al., 2017). The upper limit of our result is comparable to a previous estimate of 25 % reduction in AODnitrate by sea-salt aerosol on a global scale by Myhre et al. (2006). They evaluated a similar redistribution effect of sea-salt aerosol. But the simplifications of the mass transfer between fine and coarse modes may lead to overestimation of the reduction (Sect. S1). The redistribution effect becomes rather weak (limited within 10 %) as RNS further increased (RNS > ∼30) when marine air masses are transported further inland.

Figure 8Influence of sea-salt aerosol on the abundance and direct radiative forcing of nitrate (similar to Fig. 5). (a) Differences (Case_ SeasaltOn – Case_SeasaltOff) between simulations with and without sea-salt emission in aerosol optical depth (ΔAODnitrate), (b) direct radiative forcing (ΔDRFnitrate) and column loading of nitrate (ΔNitrate) for the (c) fine- and (d) coarse-mode particles. The modeled results shown here are averaged during daytime over the North American domain, i.e., 16:00–22:00 (UTC) on 10–17 January 2015.

## 3.5 The redistribution effect over North America and on a global scale

An additional simulation over North America confirms our findings. Similarly, as over Europe, the sea-salt-induced redistribution effect predominates and reduces AODnitrate over industrialized and outflow regions of the North American domain (Fig. 8). Generally, a similar reduction in AODnitrate is found over North America due to the sea-salt-induced redistribution effect. A monotonous decrease (increase) of column fine (coarse) nitrate loading is observed all over North America and oceanic regions (Fig. 8c and d). This sea-salt-induced redistribution effect overwhelms the mass-enhancement effect over most regions and, thus, reduces AODnitrate (Fig. 8a) and cooling effect of nitrate especially over the Gulf of Mexico (Fig. 8b), although the total nitrate column loading increases significantly (Fig. S7). This is because the high concentration of nitrate in the continental outflow from North America and Central America strongly interacts with sea salt over the Gulf of Mexico (Xu and Penner, 2012).

The statistical analysis of the redistribution effect over North America (Fig. 9a) shows a similar pattern as over Europe (Fig. 7a), and a first-order approximation (R2 > 90 %) is derived from the European and North American results of the WRF-Chem model to parameterize the relationship between RNS and the changes in AODnitrate associated with the redistribution effect (Fig. 9b). In general, the impact of the redistribution effect on AODnitrate decreases as RNS increases. Only considering the mass-enhancement effect but ignoring the redistribution effect may lead to an overestimation of AODnitrate by about 20 % when RNS < 1, by about 10 %–20 % when 1≤ RNS ≤30 and by less than ∼10 % when RNS > 30.

Figure 9Intensity of redistribution effect as a function of molar ratio between surface fine nitrate and total sodium (RNS). (a) The intensity of the redistribution effect over the North American domain, similar to Fig. 7a, is calculated as the difference in percentage between AODnitrate and AOD${}_{\mathrm{nitrate}}^{\ast }$ in Case_SeasaltOn. AOD${}_{\mathrm{nitrate}}^{\ast }$ indicates the AODnitrate calculated by reallocating nitrate mass into different size bins according to the normalized nitrate particle mass size distribution simulated in Case_SeasaltOff (i.e., without redistribution effect). The black dots indicate the mean values; the upper and lower error bars indicate the 75th and 25th percentiles, respectively. The color indicates the frequency distribution (i.e., how many counts) of the hourly model results over the entire North American domain during 10–17 January 2015. (b) The median possibility of the percentage change in AODnitrate as a function (first-order approximation) of RNS.

Figure 10The global distribution of annual mean AODnitrate (a), RNS (b) and reduction in AODnitrate associated with the redistribution effect (c). The results of (a) and (b) are simulated with the EMAC model; the results of (c) are estimated from the first-order approximation in Fig. 9b.

On a global scale, the potential influence of the redistribution effect on AODnitrate is estimated by using the above first-order approximation combined with a 1-year RNS simulation with the EMAC (Klingmüller et al., 2014; Pringle et al., 2010) chemistry–climate model (Fig. 10). The global distributions of percentage changes in AODnitrate and surface nitrate concentration are given in Fig. S8. In line with the WRF-Chem results, a significant redistribution effect is expected over North America and Europe, especially over the coastal regions with high nitrate loading and RNS values around 1 (Fig. 10b). As shown in Fig. 10c, the impact over Europe is stronger than over North America. The oceanic influence dominates over western Europe, whereas over North America the predominantly more continental air masses (Kottek et al., 2006) may be a possible reason of this. It leads to less interactions of sea salt with anthropogenic nitrate in North America and more significant reduction in AODnitrate over Europe. This result is consistent with a previous study (Myhre et al., 2006). Nevertheless, it is still possible that sea salt is transported (May et al., 2018) further inland over North America and impacts AODnitrate there. The coastal and offshore regions of Asia with 11≤ RNS ≤30 may experience strong reductions of AODnitrate, where the redistribution effect is expected to overwhelm the mass-enhancement effect, such as coastal and outflow regions of China. The influence of sea-salt aerosol becomes negligible over inland Asia where the marine air mass influence is small (RNS > 30). For the open sea regions with RNS < 0.01 (white background), the nitrate climate effect is not important, due to a very limited nitrate loading contributing to AODnitrate (Fig. 10a).

4 Summary and discussion

The interaction between natural sea-salt aerosols and anthropogenic nitrate leads to the redistribution effect, which can shift the particulate nitrate from sub- to super-micron sizes. This effect lowers its mass light extinction efficiency and shortens its lifetime. This redistribution effect can significantly moderate nitrate cooling.

The interaction between natural sea-salt aerosols and anthropogenic nitrate happens frequently over Europe (up to 90 % of the days in a year). We performed a series of sensitivity studies during a typical sea-salt event over Europe, using the WRF-Chem model with a fully dynamic aerosol mass transfer treatment coupled online. The redistribution effect of nitrate is observed by field measurements and well captured by the Case_SeasaltOn simulation. Over the highly polluted northern Poland region, our sensitivity modeling results show that the redistribution effect can reduce AODnitrate by about 20 %–30 %, or even up to ∼50 % when the sea-salt event is sufficiently strong. Conversely, if we only consider the increase of nitrate mass by introducing sea salt (mass-enhancement effect) and ignore the redistribution effect, nitrate AOD could increase by ∼8 % or even up to ∼30 % in a strong sea-salt event. We propose a single parameter, RNS ($\left[{\mathrm{NO}}_{\mathrm{3}}^{-}\right]/\left[{\mathrm{Na}}^{+}\right]$ in mol mol−1), to describe the competition between the sea-salt-induced redistribution effect and the mass-enhancement effect. In general, (1) the sea-salt-induced mass-enhancement effect is dominant over oceanic regions and tends to increase AODnitrate; the dominance of mass-enhancement effect could take place when RNS is lower than 1; (2) the sea-salt-induced redistribution effect on nitrate PMSD can decrease AODnitrate by about 10 %–20 % and overwhelm the mass-enhancement effect, resulting in a net reduction in AODnitrate; this could take place when RNS is in the range between 1 and 30; and (3) the influence of sea-salt aerosol is not significant when RNS is higher than 30. These findings are further confirmed by the sensitivity simulations over North America. The impact of the redistribution effect on a global scale is estimated using global simulation of RNS. A significant redistribution effect is expected over Europe, the Gulf of Mexico, Eastern Asia and coastal and offshore regions worldwide, resulting in a reduction in AODnitrate by about 10 %–20 %. This study demonstrates the suppression of AOD and DRF of particulate nitrate by the redistribution effect. In addition, the redistribution effect may also reduce the number of cloud condensation nuclei (CCN) by lowering the nitrate concentration in fine particles, which are the main contributors to CCN number. The hygroscopicity of coarse sea-salt particles could also be reduced by associating with nitrate, which might suppress cloud droplet activation (Xu and Penner, 2012). Further studies are needed to investigate the influences of the redistribution effect on aerosol–cloud interactions and indirect radiative forcing.

5 Implication

This study highlights the impact of the redistribution effect on moderating nitrate cooling and altering the nitrogen deposition efficiency by interacting with natural sea-salt aerosols (Fig. 1). A similar redistribution effect may apply to the heterogeneous reaction and consumption of gaseous organic compounds and sulfuric and nitric acids on natural desert dust (Usher et al., 2003; Ponczek and George, 2018; Dupart et al., 2012; Ravishankara, 1997), although nonvolatile particulate sulfate does not shift from fine to the coarse-mode aerosols. Uptake of acids by dust particles can shorten their lifetimes and reduce their radiative forcing (Liao and Seinfeld, 2005; Harris et al., 2013; Karydis et al., 2016; Abdelkader et al., 2015), which could be significant over inland areas where sea-salt aerosol is lacking. All these previous studies imply the possibility that natural particles (sea-salt aerosol and very likely dust as well) moderate the DRF of anthropogenic aerosols and alter the nitrogen and sulfur deposition efficiency. We highlight the importance of further study of the interactions between natural and anthropogenic aerosols. More comprehensive modeling studies with fully dynamic aerosol mass transfer treatments are needed for improving the assessment of aerosol climate effect accounting for the redistribution effect on a global scale.

Data availability
Data availability.

WRF-Chem model code is openly available from https://www2.acom.ucar.edu (NCAR/UCAR, 2020). FINN fire emissions is openly available for download from http://bai.acom.ucar.edu/Data/fire/ (Wiedinmyer et al., 2011). NCEP FNL operational model global tropospheric analyses (ds083.2) is openly available from https://rda.ucar.edu/data/ds083.2/ (NCEP/National Weather Service/NOAA/U.S. Department of Commerce, 2000), and sea surface temperature data is openly available from https://polar.ncep.noaa.gov/sst/ (NCEP SST, 2019). AERONET and aerosol observational datasets are openly available for download from the websites https://aeronet.gsfc.nasa.gov/ (AERONET, 2020) and http://ebas.nilu.no/default.aspx (EBAS, 2020). The European emission inventory is available from the AQMEII project (http://aqmeii.jrc.ec.europa.eu/, AQMEII, 2020) and EUCAARI project (https://www.atm.helsinki.fi/eucaari/?q=node/3, EUCAARI, 2020). The global emission inventory is available from the EDGAR project (http://edgar.jrc.ec.europa.eu, EDGAR, 2020). The results of the EMAC global model are available from https://doi.org/10.17635/lancaster/researchdata/297 (Chen et al., 2020).

Supplement
Supplement.

Author contributions
Author contributions.

YaC led the study. YaC and YiC conceived and designed the study. YiC performed the WRF-Chem model simulations and processed the data. NM supported the optical calculation. CW supported the kinetic part of the model simulation and result analyses. AP and JL provided the EMAC global simulation. GS carried out the aerosol chemical composition observations at Melpitz. YiC, YaC and HS interpreted the results. All co-authors discussed the results. YiC and YaC wrote the article with inputs from all co-authors.

Competing interests
Competing interests.

The authors declare that they have no conflict of interest.

Acknowledgements
Acknowledgements.

We thank Konrad Müller (TROPOS) for his contribution to the aerosol composition measurements. Yafang Cheng would also like to thank the Minerva Program of MPG.

Financial support
Financial support.

This research has been supported by the German Federal Ministry of Education and Research (grant no. 01LK1212C), the National Natural Science Foundation of China (91644218), the National Key R&D Program of China (2017YFC0210104) and Guangdong Innovative and Entrepreneurial Research Team Program (2016ZT06N263).

Open Access Fund of the Leibniz Association.

Review statement
Review statement.

This paper was edited by Pedro Jimenez-Guerrero and reviewed by Daniel Neumann and one anonymous referee.

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