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Seasonal Variation in High Arctic Stratospheric Aerosols Observed by Lidar at Ny Ålesund, Svalbard between March 2014 and February 2018

Stratospheric aerosols over the high Arctic at Ny Ålesund, Svalbard (79°N, 12°E) were observed continuously for four years from March 2014 by a lidar system using the second harmonic wavelength (532 nm) of the Nd:YAG laser. Our observations reveal the seasonal features of stratospheric aerosols and the arrival of the smoke at the high Arctic from Canadian forest-fire in August 2017. We estimated the seasonal variation for three years before the Canadian forest-fire when there was no apparent volcanic effect. In the estimation, we removed polar stratospheric clouds by the threshold temperature of their formation. The seasonal variation for the three years is that the vertical profiles of the backscattering ratio take a maximum value of about 1.05−1.06 at altitudes between 13 and 16 km from December to March, and about 1.02−1.04 at altitudes between 17 and 20 km from April to November. These results are compared with the results observed at the low Arctic, northern Norway. We also present the increases in the backscattering ratio and the volume depolarization ratio from September to December 2017 caused by the smoke from the Canadian forest-fire. (Citation: Shiraishi, K., and T. Shibata, 2021: Seasonal variation in high arctic stratospheric aerosols observed by Lidar at Ny Ålesund, Svalbard between March 2014 and February 2018. SOLA, 17, 30−34, doi:10.2151/sola.2021-005.)


Introduction
Stratospheric aerosols play important roles in the radiative and chemical processes of the stratosphere. Many lidar-observational efforts at mid and low latitudes have therefore been devoted to characterize the seasonal and long-term variations of stratospheric aerosols in order to study these processes (e.g. Sakai et al. 2016;Khaykin et al. 2017). Over the Arctic, background stratospheric aerosols also work as a precursor in the formation of polar stratospheric clouds (PSC) which provide the surfaces for the heterogeneous reactions of the ozone depletion process (e.g. Lowe and MacKenzie 2008). Ground-based lidar systems operating in the high Arctic have been frequently applied to observe PSC (e.g. Shiraishi et al. 2003;Shiraishi 2010). Nevertheless, lidar observations of Arctic stratospheric aerosols throughout the year are quite limited since lidar observations of stratospheric aerosols are quite problematic in the summer midnight sun season. The only report to date of stratospheric observations throughout the year in the Arctic is by Langenback et al. (2019). They presented a seasonal variation of stratospheric aerosols over the Arctic for the first time by year-round lidar observations from 2014 to 2017 at a site in the low Arctic, northern Norway (69°N, 16°E). However, there has been no report on the seasonal variation of stratospheric aerosols over the high Arctic.
We performed continuous lidar observations of aerosols and clouds over the high Arctic at Ny Ålesund, Svalbard (79°N, 12°E) for four years from March 2014. The lidar system used for the observations was a Nd:YAG laser-based Mie scattering lidar designed mainly for observations of the troposphere. Shibata et al. (2018) reported the seasonal variation of tropospheric aerosols from March 2014 to December 2017 using this system. The lidar system is also partially useful for observations of stratospheric aerosols. In this letter, we present the results of continuous observations of stratospheric aerosols for four years from March 2014 to February 2018. Perturbations by PSC were observed for short periods during the winters. The perturbation caused by smoke from Canadian forest fires was observed for about half a year from September 2017. Because there were no apparent perturbations at other periods in these four years, we attempted to discover the seasonal variation of unperturbed stratospheric aerosols during this period by removing the effect of PSC by excluding the data points where the temperature was lower than the threshold temperature of PSC-formation. We present resulting seasonal variation of the lidar observed stratospheric aerosols over the high Arctic for these four years.

Data and method
The observation site of the stratospheric aerosols was at the high Arctic, Ny Ålesund, Svalbard (79°N, 12°E). The details of the lidar system and the observations have been described by Shibata et al. (2018). The background noise not only in darkness without the sun but also in the brightness of sun light was small enough for stratospheric lidar observations. An interference filter with narrow bandwidth (0.3 nm, FWHM) was used to eliminate noise due to scattered solar radiation. The data used for stratospheric analysis were taken at 532 nm by photon counting mode. We set the original vertical resolution of the profiles to 90 m and applied a running mean setting the final resolution to 810 m. The number of days when stratospheric aerosols were observed was 391 in the four years from March 2014 to February 2018. We used 4 hours of integrated observations to obtain one stratospheric vertical profile. The total number of profiles was 920.
The observed data were normalized with the Rayleigh backscattering coefficient of atmospheric molecules ( β R ) at altitudes higher than approximately 30 km. β R is proportional to the density of the atmospheric molecules, calculated from the ERA-Interim reanalysis data obtained by the European Centre for Medium-Range Weather Forecasts. The effect of absorption by ozone was also estimated in the calculation of β M . We used the distributions of the ozone obtained from ERA-Interim reanalysis data.
The backscattering coefficient of aerosols ( β M ) was calculated by using the Fernald's equation to correct the attenuation (Fernald 1984) assuming an extinction (σ M )-to-backscatter ( β M ) ratio of aerosols (so-called lidar ratio), σ M /β M , of fixed 30 sr. Kent and Hansen (1998) suggested a lidar ratio of 30 to 50 sr (increasing with altitude). Kar et al. (2019) suggested a lidar ratio lower than 40 sr for the polar stratosphere. Even if the actual lidar ratio is 50 sr, the assumed fixed lidar ratio (30 sr) introduces an error in R smaller than 0.005 at stratospheric AOT lower than 0.004. This quantity of error should not influence the results calculated in this letter.
In the following sections, the results are presented using the backscattering ratio

Seasonal Variation in High Arctic Stratospheric Aerosols Observed by Lidar at Ny Ålesund, Svalbard between March 2014 and February 2018
10 ppbv and 5 ppmv, respectively. We approximated T NAT as where z is the altitude in meter (see Fig. 2 of Shibata et al. 1999).
The temperature in December and January was frequently lower than T NAT or sometimes even lower than the frost point temperature, T ice (T ice  T NAT -7 (K), with the above mixing ratios), in the stratosphere over Ny Ålesund. Therefore, it is highly probable that the large values of R in December and January were caused by PSC when the temperature was lower than the threshold temperatures. Fig. 1b shows the contour plot of the monthly averaged profiles of R after excluding the data points where the temperature was lower than T NAT . The white area indicates no data point after exclusion. We can see how R changes with this exclusion by comparing Fig. 1a and Fig. 1b.

Discussion
The eruption of Kelud (8°S, 112°E) in February 2014 injected aerosols into the stratosphere (Kristiansen et al. 2015). The plume from the Kelud eruption was observed between 17 and 24 km in altitude at the Observatory Haute-Provence (OHP, 44°N, 6°E), France from Decemver 2014 to April 2015 (Khaykin et al. 2017), but was not clear at Tsukuba (36°N, 140°E), Japan (Sakai et al. 2016). These observations at two sites probably indicate that the plume was not globally uniform even one year after the eruption. We could not detect any volcanic aerosols over Ny Ålesund as there was no apparent increase in R in 2015 in Fig. 1a or even in individual profiles (not shown).
It has been reported that the wildfire in northwest Canada in and partly by the volume depolarization ratio where the subscripts R, M, S and P respectively indicate Rayleigh, Mie, perpendicular and parallel components of the backscattering coefficients (for details about VD see Shibata et al. 2018). R -1 = β M /β R is roughly proportional to the mixing ratio of aerosols.
Since the stratospheric aerosols are mainly composed of liquid sulfate solution, the VD of the background aerosols is small (smaller than about 0.005). The aerosol particles are non-spherical if VD is larger than about 0.005. The results are mainly presented with R in this letter, and VD is used only in limited cases since the signal to noise ratio of the perpendicular component in the stratosphere is not large enough in the season of the midnight sun.
Supplementary files provide the numerical data of Figs. 1 to 4. The values of the points out of range of the figures are given in these supplementary files.

Results
The crosses of Fig. 1a and sFig1 of supplemental files shows tropopause height according to the definition of the World Meteorological Organization and derived from temperature profiles observed by the balloon sounding at Ny Ålesund by the Alfred Wegener Institute at 12 UT on the days of the stratospheric aerosol observations. The average and standard deviation of the tropopause height on these days was 9.02 and 1.15 km, respectively. The tropopause height showed lowest values in spring, and highest in summer. The height was frequently more than 10 km, but never more than 12 km on the days of the observations throughout the four years.
The contour color plot of Fig. 1a shows the monthly averaged profiles of R. All the observed data points are included in the profiles of the monthly averaging. R during the three winters shows larger values. PSC was observed in the stratosphere when the temperature was a few degrees lower than the threshold temperature of nitric acid trihydrate (NAT), T NAT , approximated as below (Shibata et al. 1999;Shiraishi et al. 2003). We estimated T NAT by assuming that the mixing ratio of nitric acid and water vapor are Fig. 1. (a) The crosses show the tropopause height on the days of the lidar observations. The crosses are plotted when the tropopause altitude is higher than 10 km. The contour color plot shows the monthly averaged profiles of R. All the data points are included in the average. The shaded time-height areas include the data points where the temperature was lower than T NAT . These shaded areas may include PSC. Although low temperature (< T NAT ) was observed in December 2014, clear increase in R or VD was not identified. (b) The contour plot of the monthly averaged profiles of R after excluding the data points where the temperature is lower than T NAT .

(b) (a)
at OHP in August 2017. In our observations, it is difficult to ascertain whether there is an apparent increase of R in 2017 in the averaged profiles presented in Fig. 1a. However, as shown in the individual profiles of Fig. 3, we can see increases of R and VD from September 2017 to January 2018. Usually the values of VD in undisturbed stratosphere are less than 0.005. As we can see in Fig. 3, the profiles of VD show values larger than 0.005 from September 2017. Increased values of R were observed on 12 September 2017 and later at altitudes where VD increased. Narrower, ~1 km, vertical layers of R and VD were observed until the end of October 2017. Wider, > ~5 km, layers of up to 20 km in altitude was observed in November and December 2017. The observed characteristics of the smoke approximately agree with that observed over Europe (Baars et al. 2019). Figure 4 shows the contour plots of monthly variations in R by averaging for each month through the three years from March 2014 to February 2017 before the effects of the forest fire and after excluding the data points where the temperature was lower than T NAT . The largest R values lower than 12 km in altitude in summer is consistent with the summer maximum of the tropospheric aerosols (Shibata et al. 2018) when the tropopause height is usually more than 10 km ( Fig. 1a and sFig1). The vertical profile of R takes a maximum value of about 1.05−1.06 at altitudes between 13 and 16 km from December to March, and about 1.02−1.04 at altitudes between 17 and 20 km from April to November. These changes in the altitudes of the stratospheric R-maximum (Rmax) and the values of the Rmax are summarized by bold solid lines in Figs. 5a and 5b, respectively. The thin solid lines of Fig. 5a show the altitudes where R is (Rmax -1)/2, or the half mixing ratio of Rmax. We can find the altitudes of the half mixing ratio at the top side of the stratospheric aerosol layer for all months. However, we can find the altitudes only for a few months at the bottom side of the layer.
As was described in the introduction, there is only one report   Fig. 5a show the altitudes where R is (Rmax -1)/2. The stratospheric aerosol layer observed at both sites shows roughly similar seasonal variations in the altitude and value of Rmax. The altitude of Rmax is lower from January to March and higher from June to October at both sites. The altitudes at Ny Ålesund are about 5 km and a few km lower than at northern Norway in winter and in spring and summer respectively. The altitudes at both sites agree in fall. Rmax at both sites are roughly in agreement in winter. The Rmax at Ny Ålesund is about 0.02 smaller in other seasons. Stratospheric aerosols are treated as possible conservative tracers if they are not affected by extreme temperature fluctuations as for the case of PSC (e.g. McCormick and Wang 1987). The observed winter maximum of aerosols over both sites is consistent with the stratospheric active dynamical extratropical pumping in winter (Holton et al. 1995), and with the higher aerosol mixing ratios because the higher-mixing-ratio-aerosols at lower latitudes (Hitchman et al. 1994) are transported to higher latitudes in winter. In addition, the stratospheric dynamical subsidence of the polar vortex is effective in the high Arctic. Therefore, the dynamical transport process could cause the difference in the vertical profiles of R between the high and low Arctic. Numerical simulations in the future using a chemical transport model will help clarify the relationship between the dynamics and the vertical profiles. Shibata et al. (2018) normalized tropospheric lidar data by assuming R averaged between 12 and 15 km to be 1.10 by a preliminary estimation of R. The averaged R between 12 and 15 km is 1.040 by the more careful estimation used in this study. Their assumed value of 1.10 introduced about 6% overestimates in the tropospheric R, and about 10% overestimates in β M in the lower troposphere. If we use the value of 1.040 for the normalization of tropospheric observations in the high Arctic from 2014 to 2017, it results in a 3% relative error in R.

Conclusion
We have presented for the first time observations of the lidar observed stratospheric aerosols over the high Arctic on almost all clear days for four years. The stratosphere over the high Arctic was apparently free from volcanic aerosols and forest fire smoke from March 2014 to July 2017. The only significant aerosol perturbation was caused by PSC in the winters. We removed the effect of PSC by the threshold temperature of their formation. The observed Rmax of stratospheric aerosols after removal of PSC showed seasonal variation with maximum values of about 1.05− 1.06 in winter to spring and minimum values of about 1.02−1.04 in spring to fall. The altitude of Rmax is lowest between 13 and 16 km in winter and highest between 17 and 20 km in spring to fall. The altitude of Rmax shows approximately similar seasonal variation to the variation observed at the low Arctic, northern Norway. However, the altitude of Rmax at Ny Ålesund is several km lower than the altitude at the low Arctic in the seasons from winter to summer, and lowest at about 5 km in winter. The Rmax observed at the high Arctic agrees well with the wavelength converted Rmax at the low Arctic in winter, but is a few percent smaller in other seasons. sounding data. We thank the European Centre for Medium-Range Weather Forecasts for making available the ERA-Interim reanalysis data. This study was supported by the Japan Society for the Promotion of Science KAKENHI grants (25340020, 25257201 and 16H02702).