Atmos. Chem. Phys., 10, 10273–10289, 2010 www.atmos-chem-phys.net/10/10273/2010/ doi:10.5194/acp-10-10273-2010 © Author(s) 2010. CC Attribution 3.0 License. Atmospheric Chemistry and Physics Dynamics of the Antarctic and Arctic mesosphere and lower thermosphere – Part 1: Mean winds D. J. Sandford1 , C. L. Beldon1 , R. E. Hibbins2 , and N. J. Mitchell1 1 Department 2 British of Electronic and Electrical Engineering, University of Bath, Bath, UK Antarctic Survey, Cambridge, UK Received: 15 June 2010 – Published in Atmos. Chem. Phys. Discuss.: 20 July 2010 Revised: 17 October 2010 – Accepted: 19 October 2010 – Published: 4 November 2010 Abstract. Zonal and meridional winds have been measured in the upper mesosphere and lower thermosphere at polar latitudes using two ground-based meteor radars. One radar is located at Rothera (68◦ S, 68◦ W) in the Antarctic and has been operational since February 2005. The second radar is located at Esrange (68◦ N, 21◦ E) in the Arctic and has been operational since October 1999. Both radars have produced relatively continuous measurements. Here we consider measurements made up to the end of 2009. Both radars are of similar design and at conjugate geographical latitudes, making the results directly comparable and thus allowing investigation of the differences in the mean winds of the Antarctic and Arctic regions. The data from each radar have been used to construct climatologies of monthly-mean zonal and meridional winds at heights between 80 and 100 km. Both Antarctic and Arctic data sets reveal seasonally varying zonal and meridional winds in which the broad pattern repeats from year to year. In particular, the zonal winds display a strong shear in summer associated with the upper part of the westward summertime zonal jet. The winds generally reverse to eastward flow at heights of ∼90 km. The zonal winds are eastward throughout the rest of the year. The meridional winds are generally equatorward over both sites, although brief episodes of poleward flow are often evident near the equinoxes and during winter. The strongest equatorward flows occur at heights of ∼90 km during summer. There are significant differences between the mean winds observed in the Antarctic and Arctic. In particular, the westward winds in summer are stronger and occur earlier in the season in the Antarctic compared with the Arctic. The eastward winds evident above the summertime zonal wind reversal are significantly stronger in the Arctic. The summertime equatorward flow in the Antarctic is slightly weaker, but occurs over a greater depth than is the case in the Arctic. Correspondence to: D. J. Sandford ([email protected]) Comparisons of these observations with those of the URAP and HWM-07 empirical models reveal a number of significant differences. In particular, the zonal winds observed in the Antarctic during wintertime are significantly weaker than those of URAP. However, the URAP zonal winds are a good match to the observations of the Arctic. Significant differences are evident between the observations and HWM-07. In particular, the strong wintertime zonal winds of the Arctic in HWM-07 are not evident in the observations and the summertime zonal winds in HWM-07 are systematically stronger than observed. The agreement with meridional winds is generally poor. There is a significant amount of inter-annual variability in the observed zonal and meridional winds. Particularly high variability is observed in the Arctic zonal winds in spring and is probably associated with stratospheric warmings. 1 Introduction The dynamics of the mesosphere and lower thermosphere (MLT) are dominated by atmospheric tides, planetary waves, and gravity waves, all of which are superimposed on a background flow, which can itself reach large speeds. These winds, waves and tides are all strongly coupled together. Gravity waves launched from the lower atmosphere dissipate and deposit their energy and momentum into the middle atmosphere. The momentum deposited influences the planetary-scale circulation of the stratosphere and largely drives the planetary-scale circulation of the mesosphere. The momentum deposition in the mesosphere acts to close the middle atmosphere zonal jets and actually reverses the direction of the summertime zonal jet, resulting in strong eastward flows at heights above ∼90 km. The momentum deposition also acts with the pressure gradient and Coriolis forces to produce a pole-to-pole meridional circulation. The vertical winds required by continuity considerations to sustain this Published by Copernicus Publications on behalf of the European Geosciences Union. 10274 meridional circulation result in an upwelling of air over the summer polar region and a corresponding downwelling of air in the winter polar region. The adiabatic cooing and heating resulting from this vertical motion acts to drive the atmosphere into states far removed from those of pure radiative equilibrium and leads to the well-known cold summer mesopause and the reversed pole-to-pole mesospheric temperature gradient (e.g., McIntyre, 1989; Lieberman, 1999; Holton et al., 2003). This means that there is a strong coupling between the wave dynamics of the mesosphere and the planetary scale circulation and temperature structure. Attempts to understand these coupling processes therefore require accurate determination of the background winds of the mesosphere. The general circulation and seasonal variability of the MLT at middle and low latitudes has been investigated by ground based radars and satellites. These studies have determined the general characteristics of the zonal and meridional winds of the MLT. In particular, strong zonal wind shears are evident in summer, in which the westward winds of the top of the middle atmosphere zonal jet reverse in the mesosphere to give eastward flows at heights above ∼90 km. Associated with this zonal wind reversal in summer is a region of strong equatorward flow in which the meridional winds at heights near 90 km can reach speeds in excess of 10 m s−1 . These meridional winds are important in the transport of chemical species (e.g., Plane et al., 1999; Smith, 2004). In contrast to the situation at middle and low latitudes, there have been relatively few studies of MLT region mean winds at polar latitudes. This is because of the relatively small number of ground based MLT radars deployed at polar latitudes. Nevertheless, in the Arctic MF and Meteor radars have been used to establish a limited number of simple climatologies of the zonal and meridional mean winds. These include the MF radar studies of Portnyagin et al. (1992, 1993, 2004); Dowdy et al. (2001, 2007a); Hall et al. (2003); Kishore et al. (2003) and the meteor radar studies of Hocking (2001); Mitchell et al. (2002); Hall et al. (2003). Similar to the Arctic there have been few studies made of the mean winds of the Antarctic MLT region. This is largely because of the difficulty in operating ground-based radars for extended intervals in Antarctica. Despite these difficulties, MF and meteor radars have been used to measure the seasonal variability of MLT region mean winds in the Antarctic in a limited number of studies (e.g., Portnyagin et al., 1992, 1993; Vincent, 1994; Dowdy et al., 2001, 2007a; Kishore et al., 2003; Hibbins et al., 2005; Baumgaertner et al., 2005; Merzlyakov et al., 2009). It is well known that there are significant differences in the mean winds and dynamics of the Arctic and Antarctic stratosphere. For example, the winds of the stratospheric polar vortex are known to be significantly stronger in the Antarctic through strong planetary wave activity (Holton et al., 2003). Another significant difference lies in the gravity wave fluxes of the two polar regions. The mountainous Atmos. Chem. Phys., 10, 10273–10289, 2010 D. J. Sandford et al.: Part 1: Mean winds region of the Antarctic peninsula and the southern Andes experience strong prevailing tropospheric westerlies. This generates a localised “hot spot” of intense gravity wave activity and gravity wave fluxes which has no parallel in the Arctic (Wu and Jiang, 2002; Alexander and Teitelbaum, 2007; Baumgaertner and McDonald, 2007). Despite there being significant stratospheric differences, the differences between the polar MLT regions remain poorly understood. Those studies that have attempted to quantify the differences between the mean winds of the two MLT regions include: Portnyagin et al. (1993), Dowdy et al. (2001, 2007a), Kishore et al. (2003). These studies generally revealed significant differences between the Antarctic and Arctic. The present study presents mean wind climatologies of the polar MLT region obtained using meteor wind radars located at Rothera (68◦ S, 68◦ W) in the Antarctic and Esrange (68◦ N, 21◦ E) in the Arctic. Datasets of 5 and 10 years are available from the two instruments, respectively, allowing a study of the inter-annual variability in the winds. These two radars are similar in design and are located at conjugate geographical latitudes in each polar region, allowing a comparison of observations free from biases caused by different techniques or small differences in latitude. The use of an identical technique is particularly important because there are known and significant biases between some of the most common techniques used for measuring MLT-region winds (e.g., Meteor and MF radar, Manson et al., 2004). A second companion study, part 2, will report the inter-hemispheric observations of the 12- and 24-h tides, in the MLT region, also using the same two systems. In Sect. 2 we present a description of the meteor radar data analysis and comparisons between meteor distributions from the two systems used in this study. Section 3 will consider the monthly-mean winds measured over the height range 80– 100 km and compare these with the results of the URAP and HWM-07 mean-wind models. In Sect. 4 we compare the results with those of other studies and review the interhemispheric differences of the observations. 2 Data analysis The first radar used in this study is located at Rothera Base (68◦ S, 68◦ W) on the Antarctic Peninsula. This system has been in continuous operation since its installation in February 2005. The second radar, similar in design to the Rothera radar, is located at Esrange (68◦ N, 21◦ E), near Kiruna in northern Sweden. This system has been in continuous operation since October 1999. Both radars are commercially-produced SKYiMET meteor-radar systems. Both radars use solid-state transmitters of 6 kW peak power and operate with a duty cycle of 15%, pulse repetition frequency of 2144 Hz and a radio frequency of 32.5 MHz. Crossed-element Yagi antennas are used for both transmitting and receiving. A single, www.atmos-chem-phys.net/10/10273/2010/ Younger, P. T., Astin, I., Sandford, D. J. and Mitchell, N. J.: The sporadic radiant and distribut 660 in the atmosphere as observed by VHF radar at Arctic, Antarctic and equatorial latitudes, A D. J. Sandford et al.: Part 1: Mean winds 2831-2841, 2009. 10275 AVERAGE NUMBER OF METEORS AVERAGE NUMBER OF METEORS 3-element antenna, acts as the transmitter and five separate ROTHERA − MEAN DAILY METEOR COUNT RATE 8000 2-element antennas as receivers. The radars operate in 7000 an all-sky configuration with the radiated power being 6000 largely independent of azimuth and maximum gain at ∼30◦ 5000 elevation. Only under-dense echoes are recorded. A detailed 4000 3000 description of the systems and data-processing technique 2000 used is given by Hocking et al. (2001). 1000 Typical meteor distributions will now be presented to com0 0 31 59 90 120 151 181 212 243 273 304 334 365 pare the difference between the performances of the two sysTIME (Day of Year) tems. Figure 1a and b presents the average number of me(a) teor echoes received per day by the radars over the course ESRANGE − MEAN DAILY METEOR COUNT RATE of a year. The data from Rothera are from February 2005 to 8000 April 2009. The data from Esrange are from October 1999 to 7000 April 2009. Both plots show the existence of an annual cycle, 6000 superimposed upon which brief episodes of higher meteor 5000 4000 counts are found during meteor showers. Examples of me3000 teor showers can be seen over Esrange in January (the Quad2000 rantids shower) and December (the Geminids shower). 1000 The highest meteor count rates, discounting showers, are 0 0 31 59 90 120 151 181 212 243 273 304 334 365 found during the summer solstice (days 355 over Rothera TIME (Day of Year) and days 172 over Esrange). Over both sites the count rates (b) minimise during spring. Daily meteor counts vary between ∼3000 and 7000 over Rothera and between ∼2000 and 5000 Fig. 1. Composite-year dailya)meteor counts (a) Rothera and wind radars Fig.count 1a-b.rate Composite meteor counts for the Rothera andfor b)the Esrange meteor over Esrange. The yearly-averaged meteor per day year (b) Esrange meteor wind radars (i.e., average number of meteors over Rothera is 4738 meteors, compared with that seen over results have been averaged over 7per years from to 2009. resultsover over about 4 ye detected day). The1999 Rothera resultsThe haveRothera been averaged Esrange which is 3465 meteors. The differences between the about 4 years from 2005 to 2009. The Esrange results over about 2009. arises from count rates recorded over Rothera andtoEsrange 7 years from 1999 to 2009. differences in the levels of radio interference at the two sites, small differences in the performance of the radars and differences in the strengths of the visible sporadic meteor raEsrange). This behaviour is again a consequence of the visdiants. The annual cycle of count rates is a consequence of ibility above the horizon of the astronomical sources of spothe visibility above the horizon of the astronomical sources radic meteor radiants. A more detailed examination of these of sporadic meteors (radiants) (e.g., Younger et al., 2009). variations is presented in Younger et al. (2009). Figure 2a and b presents the normalised diurnal variation The normalised distribution of meteor echoes with height of meteor counts in local time for Rothera and Esrange, reover Rothera and Esrange is presented in Fig. 4a and b. All spectively. A clear diurnal cycle is apparent. The diurnal cyrecorded meteors are used. The meteor counts over both sites cle over the two sites is almost identical. The highest meteor peak at a height of 90 km and have very similar distribucount rates occur in the early hours of the morning, at about tions. These distributions of meteor echoes determine the 06:00 LT and the lowest count rates occur in the late afterheights and times at which mesospheric winds can be calcunoon at about 18:00 LT. The ratio of maximum to minimum lated, since sufficient meteors must be present in a particular count rates over both sites is about 2:1. height-time interval to allow20 a robust determination of the An annual cycle in the diurnal distribution of meteor count winds. A minimum of 5 meteors were used for this deterrates is also observed. Figure 3a and b present monthly normination. Generally, this meant that sufficient meteors were malised hourly meteor counts between 00:00 and 24:00 LT available to calculate winds even during the low-count-rate for Rothera and Esrange, respectively. Data from all years part of the day in the outermost height gates. available are used and so the figures present composite years. Note that the Rothera year is shifted by six months to ease In routine calculation of mesospheric winds, the individual comparison with Esrange. The figure thus shows how the dimeteor echoes are sorted into six independent height gates urnal cycle in meteor count rates varies throughout the year. covering the ranges 78–83, 83–86, 86–89, 89–92, 92–95, In particular, the hour of day at which the greatest meteor and 95–100 km. A least-squares fitting was then used to count rates occurs changes from ∼07:00–08:00 LT in late fit to the azimuth and horizontal component of the drift vespring, summer and early autumn (November–March over locity to determine the zonal and meridional winds within Rothera and April–September over Esrange) to earlier in the a particular height gate. This fitting was performed for all day in the remainder of the year e.g., 03:00–06:00 LT (from meteors observed in each height gate using a two-hour winApril to October over Rothera and October to March over dow incremented through the data set in steps of one hour. www.atmos-chem-phys.net/10/10273/2010/ Atmos. Chem. Phys., 10, 10273–10289, 2010 NORMALISED METEOR COUNT NORMALISED METEOR COUNT 10276 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.8 0.7 0.6 0.5 D. J. Sandford et al.: Part 1: Mean winds 0.4 0.3 0.2 ROTHERA − DIURNAL DISTRIBUTION OF METEORS ESRANGE − DIURNAL DISTRIBUTION OF METEORS 0.11 0.9 0 0 0.8 2 4 6 8 10 12 14 TIME (LT Hours) 16 18 20 22 24 NORMALISED METEOR COUNT NORMALISED METEOR COUNT 0.11 0.7 0.6 (a) 0.5 0.4 0.3 0.9 0 0 0.8 2 4 6 8 10 12 14 TIME (LT Hours) 16 18 20 22 24 0.7 0.6 (b) 0.5 0.4 0.3 . 2a-b. Normalised diurnal variation in the meteor counts with respect to local time for the a) Rothera met 0.2 0.1 0.2 0.1 ar between 2005 and 2009 and b) Esrange meteor radar between 1999 and 2009. 0 0 2 4 6 8 10 12 14 TIME (LT Hours) 16 18 20 22 0 0 24 2 4 6 (a) 8 10 12 14 TIME (LT Hours) 16 18 20 22 24 (b) Fig. 2. Normalised diurnal variation in the meteor counts with respect to local time for the (a) Rothera meteor radar between 2005 and 2009 g. 2a-b. Normalised diurnal variation in 2009. the meteor counts with respect to local time for the a) Rothera met and (b) Esrange meteor radar between 1999 and ar between 2005 and 2009 and b) Esrange meteor radar between 1999 and 2009. 24 1 22 0.9 22 0.9 14 0.6 12 0.5 10 0.4 8 0.3 6 4 24 2 22 0 20 ROTHERA − DISTRIBUTION OF METEORS IN LOCAL TIME 0.2 S O N D J F TIME (Months) M A M J 0.8 TIME (LT Hours) 18 0.7 16 0.6 (a) 14 12 0.5 10 0.4 14 0.6 12 0.5 10 0.4 0.3 6 4 24 2 22 0 20 0.9 0 A 0.7 16 8 1 0.1 J 0.8 18 ESRANGE − DISTRIBUTION OF METEORS IN LOCAL TIME 0.2 1 0.1 0.9 0 J F M A M J J A TIME (Months) S O N D 0.8 18 0.7 16 0.6 (b) 14 12 0.5 10 0.4 NORMALISED METEOR COUNT 0.7 16 TIME (LT Hours) TIME (LT Hours) 18 20 TIME (LT Hours) 0.8 NORMALISED METEOR COUNT 20 NORMALISED METEOR COUNT ESRANGE − DISTRIBUTION OF METEORS IN LOCAL TIME 1 NORMALISED METEOR COUNT . 3a-b. ROTHERA − DISTRIBUTION OF METEORS IN LOCAL TIME 24 8 Fig. 3. Normalised diurnal variation in the meteor counts versus0.3month with8the peak hours of counts marked with the0.3white line, for the (a) 6 6 Rothera meteor radardiurnal between 2005 and 2009 andin (b) the Esrange meteor radar between versus 1999 and 2009. Normalised variation meteor counts month with 0.2the peak hours 0.2 4 4 2 0.1 2 0.1 0 0 0 of cou rked with the black line, for the a) Rothera meteor radar between 2005 and 2009 and b) Esrange met 0 J F M A M J J A S O N D For the available data, this method lead to ∼7.2% datagaps 3 Results TIME (Months) for the upperand and 2009. lower most height gates for Rothera and ar between 1999 ∼10.3% for Esrange. Errors in the resulting two-hour mean 3.1 Observations of mean winds over Rothera (a) (b) winds are typically only a few ms−1 . Because of the uneven and Esrange distribution of meteors with height, the height gates are assigned representative centres of 80.8, 84.6, 87.5, 90.4, 93.4 To investigate the behaviour of the background winds over g. 3a-b. and Normalised diurnaltovariation in the meteor counts versus monthwinds with peakforhours 97.1 km, corresponding the mean height recorded in the two sites, monthly-mean werethe calculated each of each height gate, calculated using the Esrange data. The height gate, using individual months of data. The monthlyrked with for the a) zonal Rothera meteor radar between and 2009 and b)between Esrange basethe datablack product line, is thus hourly spaced and meridional mean winds for each2005 year measured over Rothera winds in six height gates over each site. February 2005 and April 2009 are presented in Figs. 5a– ar between 1999 and 2009.ROTHERA − HEIGHT DISTRIBUTION OF METEORS ESRANGE DISTRIBUTION OF METEORS e 110 and 6a–e for− HEIGHT zonal and meridional winds, respectively. 110 In these figures the zero-wind line is marked with a heavy 105 105 dashed contour. Figures 5f and 6f present the standard devi100 100 ations of the monthly-mean winds measured each year, providing a simple quantification of inter-annual variability. The 95 95 reader should bear in mind that the use of monthly-mean 90 90 A S O N D J F TIME (Months) M A M J HEIGHT (km) HEIGHT (km) J 85 Atmos. Chem. Phys., 80 10, 10273–10289, 2010 85 ESRANGE − HEIGHT DISTRIBUTION OF METEORS 110 75 105 70 0 www.atmos-chem-phys.net/10/10273/2010/ 80 ROTHERA − HEIGHT DISTRIBUTION OF METEORS 110 75 0.2 0.4 0.6 NORMALISED METEOR COUNT 0.8 1 105 70 0 0.2 0.4 0.6 NORMALISED METEOR COUNT 0.8 1 cou met D. J. Sandford et al.: Part 1: Mean winds 10277 ESRANGE − HEIGHT DISTRIBUTION OF METEORS 110 105 105 100 100 95 95 HEIGHT (km) HEIGHT (km) ROTHERA − HEIGHT DISTRIBUTION OF METEORS 110 90 85 90 85 80 80 75 75 70 0 0.2 0.4 0.6 NORMALISED METEOR COUNT 0.8 1 70 0 (a) 0.2 0.4 0.6 NORMALISED METEOR COUNT 0.8 1 (b) 4. Normalised variation of meteor counts with height for the (a) Rothera meteor radar between 2005 and 2009 and (b) Esrange meteor Fig. 4a-b.Fig. Normalised variation of meteor counts with height for the a) Rothera meteor radar between 2005 a radar between 1999 and 2009. 2009 and b) Esrange meteor radar between 1999 and 2009. winds means that shorter-period fluctuations may be overlooked. Note that in this study, for Arctic results winter will refer to December–February, spring to March–May, summer to June–August and autumn to September–November. For the Antarctic, this is shifted by 6 months, so that winter refers to June–August, spring to September–November, summer to December–February and autumn to March–May. In the observed zonal winds over Rothera, the seasonal pattern is seen to repeat in general form from year to year. The most conspicuous features apparent are the strong summertime wind shears in December, January and February. This shear is the top of the westward summertime mesospheric jet. The strongest westward winds are observed in early summer (November–December) where the winds become as strong as −50 m s−1 in 2007 at heights near 80 km. At greater heights and as summer progresses the winds become increasingly eastward ultimately reaching flows as strong as ∼30 m s−1 at heights near 97 km in late summer (February–March). In contrast, the wintertime winds are generally more variable from year to year but are largely eastward at all heights. Maximum values of ∼20 m s−1 are frequently seen in August over Rothera. The zonal wind standard deviations of Fig. 5f reveal that the greatest variability of the monthly-mean zonal winds occurs at the end of spring during the build up to the strongest westward winds. In the meridional winds observed over Rothera, a seasonal pattern that repeats from year-to-year, is also evident, at least in summer. The most conspicuous feature is a period of equatorward flow during the summer, which generally occurs over all heights observed and reaches velocities of up to 14 m s−1 . However, the meridional winds in summer vary significantly from year-to-year. There is a generally tendency for the flow to be equatorward, particularly so in the upper heights observed. However, episodes of poleward flow do occur during the winter, especially at the lower heights observed. The www.atmos-chem-phys.net/10/10273/2010/ greatest variability during winter occurs at the upper heights. For example meridional winds reach more than 14 m s−1 equatorward above 94 km in July 2005, whereas at the same height and time in 2006 the winds are actually poleward and reach −6 m s−1 . In spring and autumn, the meridional flow is often near zero with a tendency for poleward in autumn and equatorward in spring. The variability is revealed in the 21meridional winds standard deviations of Fig. 6f, which suggest greatest variability occurs in the lower heights during summer (December) and the upper heights during the winter (July). A similar analysis for Esrange is presented in Figs. 7a–k and 8a–k, for zonal and meridional winds, respectively. The data cover the interval of between October 1999 and April 2009. For both zonal and meridional winds, a generally similar pattern is observed, with an annually-repeating seasonal cycle which looks superficially similar to that seen in the zonal winds over Rothera. However, a number of significant differences are apparent, which will be discussed below. Figures 7l and 8l present the standard deviations of the monthly-mean zonal and meridional winds. These latter figures indicate that the greatest level of inter-annual variability occurs in late winter and spring over Esrange and particularly at heights below ∼88 km. This high level of variability probably represents inter-annual differences arising from the mesospheric manifestation of stratospheric warmings. For the zonal winds, a generally similar pattern to Rothera is observed, with an annually repeating seasonal cycle which looks superficially similar to that seen in the zonal winds over Rothera. Again, strong shears are observed in summer. The strongest westward winds are observed in summer (June–August) where the winds reach speeds of ∼−30 m s−1 near 80 km. At greater heights the winds become eastward, reaching flows as strong as ∼35 m s−1 at heights near 96 km in late summer (August). The wintertime winds are generally Atmos. Chem. Phys., 10, 10273–10289, 2010 −20 10 84 −20 0 −30 −10 82 10 −30 80 −10 0 −20 86 −20 −30 −40 82 −50 −20 0 80−30 −20 −30 20 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 20 90 10 10 −10 88 0 20 86 HEIGHT HEIGHT(km) (km) −1 −1 WIND WINDSPEED SPEED(ms (ms ) ) HEIGHT (km) HEIGHT (km) 98 98 1020 96 20 10 96 10 20 94 10 10 94 20 0 92 92 0 90 10 20 1010 90 10 10 −10 88−10 20 −10 −20 10 88 0 0 −20 −10 86 86 −10 10 84 0 10 84 −10−30−40 82 0 −40 82 10 −30 10 80 −30 −30 −20 20 −30 0 80 Jan −20 Feb Mar Apr May Jun Jul Nov Dec −30 20 Aug Sep Oct−20 Jan Feb Mar Apr MayTIME Jun (Months) Jul Aug Sep Oct Nov Dec TIME (Months) (d) (a) 98 −20−40 −10 −30 −40 10 10 −10 −10 −30 80−30 0 20 −50−40 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) −50 −50 50 50 40 40 30 30 20 20 10 10 0 0 −10 −10 −20 −20 −30 −30 −40 −40 −50 −50 STD OF ZONAL MEAN WINDS OVER ROTHERA ZONAL MEAN WINDS OVER ROTHERA FOR 2007 6 98 20 10 98 6 420 2 2 96 4 10 10 0 96 4 94 20 10 94 92 92 4 4 4 6 90 10 −10 20 90 10 10 4 10 2 8 6−20 88 2 −10 2 0 4 −30 −10 20 4 88 0 4 86 86 10 10 84 −40 4 −20 2 84 8 2 4 824 6 82 4 10 10 80 −10 4−10−30 −40 80−30Jan Feb 0 Apr May 20 Jun Jul Aug Sep Oct Nov −50 Mar Dec Jan Feb Mar Apr MayTIME Jun(Months) Jul Aug Sep Oct Nov Dec TIME (Months) 14 50 12 40 30 10 20 810 60 −10 4 −20 2−30 −40 0 −50 (f) (c) STD OF ZONAL MEAN WINDS OVER ROTHERA 10 20 10 0 −20 84 ZONAL MEAN WINDS OVER ROTHERA FOR 2009 50 20 0 D. J. Sandford et al.: Part 1: Mean winds (e) (b) ZONAL MEAN WINDS OVER ROTHERA FOR 2008 −20 −30 −10 (c) ZONAL MEAN WINDS OVER ROTHERA FOR 2009 10 ZONAL MEAN WINDS OVER ROTHERA FOR 2006 20 10 50 50 40 40 30 30 20 20 10 10 0 0 −10 −10 −20 −20 −30 −30 −40 −40 −50 −50 −10 10 (b) 98 20 20 98 0 20 10 96 96 10 20 10 94 20 94 0 10 20 92 92 20 10 0−10 90 10 10 10 90 10 −20 −10 88 −10 10 0 0 88 86 −10 −30 86 10 84 20 −20 84 −20 0 20 82 −10 82 10 0−10 10 10 −30 −40 −40 −20 20 80 −30 80 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May TIME Jun (Months) Jul Aug Sep Oct Nov Dec TIME (Months) 10 10 20 10 82 −40 −30 10 (a) ZONAL MEAN WINDS OVER ROTHERA FOR 2008 ZONAL MEAN WINDS OVER ROTHERA FOR 2005 20 20 −10 0 10 84 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 98 −10 HEIGHT HEIGHT(km) (km) 10278 10 88 0 −1 WIND )) WINDSPEED SPEED(ms (ms−1 86 −10 −10 30 20 92 WIND SPEED (ms−1) −10 10 94 10 STANDARD DEVIATION (ms−1) WIND SPEED (ms−1) 0 88 30 10 10 50 6 98 14 6 4 STANDARD DEVIATION (ms−1) 0 10 0 20 90 HEIGHT (km) 10 10 92 WIND SPEED (ms−1) 10 90 20 10 94 −1 20 HEIGHT (km) HEIGHT (km) 30 0 10 92 WIND SPEED (ms ) 20 20 94 Fig. 5a-f. (a)-(e) Monthly-mean zonal winds measured by the Rothera meteor radar for individual years between 20 20 92 20 10 20 10 94 HEIGHT (km) HEIGHT (km) 94 30 WIND SPEED (ms−1) 10 10 96 40 10 30 20 20 92 10 0 96 2 4 2 92 10 4 2005 and 2009. (f) The standard deviation of all years of monthly-mean zonal winds. 90 10 88 −10 10 10 0−10 −20 −10 10 0 86 −30 84 20 −30 10 0−10 10 −10 −20 −20 20 82 0 −30 −40 −40 −20 20 80 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 90 20 10 10 10 88−10 0 86 −10 −20 20 0 −10 −20 84 10 −30 −10−30−40 0 −40 −40 82 −50 80 −30 −30 −20 20 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 10 (d) 12 4 94 HEIGHT (km) 40 WIND SPEED (ms−1) 0 20 10 96 90 4 4 88 4 4 86 8 6 2 2 2 4 8 6 6 4 4 10 84 −40 824 −50 80 4 2 8 2 4 2 6 4 0 4 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) (e) (f) Fig. 5. (a–e) Monthly-mean zonal winds measured by the Rothera meteor radar for individual years between 2005 and 2009. (f) The standard Fig. 5a-f. (a)-(e) zonal deviation of allMonthly-mean years of monthly-mean zonal winds winds. measured by the Rothera meteor radar for individual years between 2005 and 2009. (f) The standard deviation of all years of monthly-mean zonal winds. 0 8 8 4 0 −4 0 86 0 4 4 −8 −4 84 8 12 82 0 −8 −12 80 −12 4 90 88 12 0 8 0 86 0 8 0 0 −4 4 0 8 12 8 4 4 4 8 0 80 12 −4 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 20 20 16 16 12 12 8 84 −4 −8 −8 −12 04 −4 4 8 12 8280 −4 0 −8Jun Jul Aug 0Sep Oct Nov Dec 80 Jan Feb Mar Apr May −12 Jan Feb Mar Apr May TIME Jun (Months) Jul Aug Sep Oct Nov Dec TIME (Months) 4 0 98 98 96 96 94 −12 −12 −16 −16 −20 94 92 92 90 8 0 −20 80 −4 4 4 0 8 90 88 12 8 88 86 86 84 84 82 4 4 0 4 0 4 0 4 8 4 0 0 40 0−4 4 8 0 12 8 84 8 8 0 4 4 4 −4 0 8 0 0 4 8 4 82 80 −8 4 0 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 80 12 −4 Jan Feb Mar Apr MayTIME Jun (Months) Jul Aug Sep Oct Nov Dec TIME (Months) −20 −4 0 98 16 96 0 −4 −8 −4 −4 4 −4 −8 −12 −16 0 0 −20 −8 −4 −4 −8 −8 −12 −12 −16 −16 −20 STD OF MERIDIONAL MEAN WINDS OVER ROTHERA 8 4 MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2007 98 98 96 96 94 −4 8 0 4 94 92 92 90 4 8 612 12 0 4 −4 48 0 2 90 88 88 86 8 4 4 0 0 4 8 86 84 84 82 2 2 4 4 −4 4 −4 8 8 4 60 12 8 0 2 4 2 4 4 2 4 −4 82 0 80 0 Sep Oct Nov Dec −8 Jun Jul Aug −8 80 Jan Feb Mar Apr May −4 Jan Feb Mar Apr MayTIME Jun(Months) Jul Aug Sep Oct Nov Dec TIME (Months) −20 14 20 12 16 10 12 2 2 4 2 4−4 −8 2 −12 0−16 −20 (f) (c) MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2009 20 8 0 (e) (b) MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2008 8 4 4 0 4 84 82 8 4 0 4 8 86 −16 20 20 16 16 12 4 12 0 12 12 4 90 20 16 48 92 88 12 0 −4 (c) 0 −8−4 0 4 8 12 0 4 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2009 4 MERIDIONAL MEAN0 WINDS OVER ROTHERA FOR 2006 (d) (a) 9812 −8 −20 40 0−4 0 0 8684 4 8482 −4 4 82 HEIGHT (km) HEIGHT (km) 4 4 8 4 −16 −1 WIND SPEED (ms(ms ) −1) WIND SPEED HEIGHT (km) HEIGHT (km) 0 4 −4 0 9088 8886 120 0 −4 0 −4 8 94 (b) MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2008 0 9812 MERIDIONAL −4 MEAN WINDS OVER ROTHERA FOR 2005 4 12 4 8 9896 −8 4 9694 4 4 8 (a) 8 4 0 84 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 9492 9290 8 0 92 96 12 8 8 98 16 HEIGHT (km) HEIGHT (km) 88 4 4 94 20 −1 −1 WIND SPEED (ms(ms ) ) WIND SPEED 90 8 4 WIND SPEED (ms−1) 8 8 0 −4 MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2007 0 −8−4 STANDARD DEVIATION (ms−1) WIND SPEED (ms−1) 12 4 92 96 HEIGHT (km) 12 98 16 HEIGHT (km) −4 MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2006 20 −1 0 WIND SPEED (ms ) 4 94 HEIGHT (km) 12 4 8 96 WIND SPEED (ms−1) MERIDIONAL MEAN WINDS OVER ROTHERA FOR 2005 98 4 STD OF MERIDIONAL MEAN WINDS OVER ROTHERA 20 98 16 96 8 4 14 8 12 94 4 92 8 0 6 12 4 94 92 2 2 between 2005 and 2009. (f) The standard deviation of all years of monthly-mean meridional winds. 8 90 0 4 −4 4 8 12 0 88 0 4 86 84 82 80 4 −4 4 −4 −8 0 −12 4 0 4 −4 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 90 88 4 4 82 −20 80 4 4 8 0 −4 4 84 −16 4 4 0 86 Atmos. Chem. Phys., 10, 10273–10289, 2010 (d) 8 0 0 −8 −12 −4 0 4 4 −8 0 8 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) (e) 2 90 2 4 4 2 88 86 2 84 4 10 8 6 4 2 −16 82 2 −20 80 4 2 4 2 STANDARD DEVIATION (ms−1) 0 4 12 HEIGHT (km) 0 92 0 0 WIND SPEED (ms−1) HEIGHT (km) 94 12 HEIGHT (km) 4 −8 96 WIND SPEED (ms−1) Fig. 6. (a–e) Monthly-mean meridional winds measured by the Rothera meteor radar for individual years between 2005 and 2009. (f) The Fig. 6a-f. (a)-(e) Monthly-mean meridional winds measured by the Rothera meteor radar for individual years standard deviation of all years of monthly-mean meridional winds. 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) www.atmos-chem-phys.net/10/10273/2010/ (f) D. J. Sandford et al.: Part 1: Mean winds 10279 10 90 0 10 88 −10 86 20 −20 20 90 10 10 86 82 −40 82 −50 80 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) −30 −10 −30 −20 10 −10 10 −10 −20 10 84 −30 10 20 10 80 0 −10 0 −20 10 0 10 86 −40 82 −50 80 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) −10 −20 −10 −30 −20 0 HEIGHT (km) 92 88 10 −10 −10 −10 20 98 40 96 10 10 0 10 0 −10 86 2020 −20 84 82 50 0 10 80 −20 0 30 88 20 10 10 0 −20 −30 −20−10 0 50 98 40 96 −30 0 2010 −10 10 0 −10 −10 86 −20 10 40 30 20 10 −10 −20 0 −30 −10 98 40 96 94 30 10 10 −1 −50 80 (j) 0 −10 −20 20 84 82 10 20 86 −40 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 20 88 30 −30 30 10 40 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) (k) −50 0 (i) 50 10 −40 10 STD OF ZONAL MEAN WINDS OVER ESRANGE 96 9010 0 −10 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 98 0 10 0 10 84 40 10 10 20 86 50 0 50 0 88 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 10 10 90 80 10 −50 10 92 −50 10 −20 92 −40 10 −10 0 −20 94 80 −30 10 82 −20 ZONAL MEAN WINDS OVER ESRANGE FOR 2007 −50 −20 84 −10 10 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 82 −10 −20 86 80 10 10 −10 80 −40 HEIGHT (km) 20 0 −10 −50 82 20 92 88 84 −40 30 0 86 −30 WIND SPEED (ms ) HEIGHT (km) 10 40 90 10 10 0 10 −10 ZONAL MEAN WINDS OVER ESRANGE FOR 2009 30 10 94 20 10 10 (h) 30 20 −100 0 10 0 90 (g) 0 −10 30 20 0 0 88 82 20 ZONAL MEAN WINDS OVER ESRANGE FOR 2008 96 40 0 90 −40 30 92 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 98 20 20 50 92 84 −30 −20 20 10 10 30 (f) 94 HEIGHT (km) 10 −1 30 0 20 10 0 10 20 0 (e) 30 10 −30 ZONAL MEAN WINDS OVER ESRANGE FOR 2006 94 90 −20 0 94 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) WIND SPEED (ms ) −10 10 −10 −10 −30 (d) 96 0 −20 −10 ZONAL MEAN WINDS OVER ESRANGE FOR 2005 98 10 10 −10 0 96 10 10 84 98 40 20 20 88 50 30 10 0 90 −10 −20 ZONAL MEAN WINDS OVER ESRANGE FOR 2004 HEIGHT (km) 82 86 −50 6 14 6 4 6 2 4 94 HEIGHT (km) −10 88 0 10 10 30 92 0 −10 −40 −1 10 10 20 10 10 0 0 −10 88 10 −20 −30 80 10 −20 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) WIND SPEED (ms ) 0 10 0 10 20 90 −50 HEIGHT (km) 92 10 0 94 30 20 92 (c) 30 20 10 10 82 −1 96 20 90 40 10 84 −1 HEIGHT (km) 98 40 30 9410 86 50 50 30 −40 WIND SPEED (ms ) 10 HEIGHT (km) 40 10 −100 (b) 30 30 −10 0 ZONAL MEAN WINDS OVER ESRANGE FOR 2003 −1 20 10 0 4030 10 94 10 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) WIND SPEED (ms ) 10 −20 −20 (a) 96 −10 10 20 10 ZONAL MEAN WINDS OVER ESRANGE FOR 2002 98 30 0 10 0 0 0 84 96 10 20 −10 20 98 40 20 10 0 10 88 −30 10 30 92 84 80 10 0 50 WIND SPEED (ms−1) 92 94 20 0 WIND SPEED (ms−1) 20 10 92 4 2 12 2 2 10 4 4 8 90 2 8 6 88 6 4 86 82 −50 80 8 8 4 10 14 10 6 4 6 84 −40 6 2 6 6 2 STANDARD DEVIATION (ms−1) 30 ZONAL MEAN WINDS OVER ESRANGE FOR 2001 30 HEIGHT (km) 20 40 20 WIND SPEED (ms ) HEIGHT (km) 94 HEIGHT (km) 10 10 0 −1 96 WIND SPEED (ms−1) 98 40 WIND SPEED (ms−1) ZONAL MEAN WINDS OVER ESRANGE FOR 2000 50 96 WIND SPEED (ms ) ZONAL MEAN WINDS OVER ESRANGE FOR 1999 98 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) (l) Fig. 7. (a–k) Monthly-mean zonal winds measured by the Esrange meteor radar for individual years between 1999 and 2009. (l) The standard Fig. 7a-l. (a)-(k) Monthly-mean winds measured by the Esrange meteor radar for individual years bedeviation of all years of monthly-mean zonal zonal winds. tween 1999 and 2009. (l) The standard deviation of all years of monthly-mean zonal winds. www.atmos-chem-phys.net/10/10273/2010/ Atmos. Chem. Phys., 10, 10273–10289, 2010 10280 more variable from year to year but are largely eastward at all heights. Maximum values of ∼25 m s−1 are seen in January– February over Esrange. In the meridional winds observations over Esrange, again a seasonal pattern is observed. The most striking feature is the clearly defined region of equatorward flow found during the summer months (May to August). This flow varies in shape and strength, but maximises at heights between about 84 and 90 km in all years observed with speeds of up to 16 m s−1 . In late summer (July–August) the meridional winds reverse to give poleward flow above heights of about 94 km in all of the observed years. The standard deviations of Fig. 8l suggest that the equinox and wintertime flows are more variable. In some years, the winds are predominantly poleward, reaching speeds of up to 10 m s−1 (e.g., February 2001) and in contrast, in other years the winds are predominantly equatorward, reaching speeds of −10 m s−1 (e.g., February 2003). The focus of the present work is to determine the differences between the mean winds of the Antarctic and Arctic regions. We will therefore now turn our attention to a detailed comparisons of the monthly mean winds recorded over Rothera and Esrange. 3.2 Similarities and differences in the mean winds over Rothera and Esrange To investigate systematic differences between the winds of the Antarctic and Arctic, composite-year monthly-mean climatologies were constructed by averaging the data from all the individual years. Figures 9 and 10 present these composite years. Figure 9 presents the zonal-mean winds. The data from Rothera have been displaced by 6 months to help make seasonal comparisons. These figures show the behaviour of the mean winds with the inter-annual variability to some extent smoothed out. A Student’s t-test was employed to highlight the significance of the differences between the winds of the Arctic and Antarctic. Using a confidence limit of 95%, a number of significant differences are apparent between the winds. These include: 1. The westward summertime wind over Rothera is significantly stronger than that over Esrange. Further, the strongest westward winds occur approximately one month earlier over Rothera than over Esrange. For example, the strongest westward flow of ∼−40 m s−1 occurs over Rothera in November–December at the lowest heights, whereas the strongest westward winds over Esrange reach only ∼−25 m s−1 in June–July, which is slightly later in the season. Because the reversal to westward winds occurs at approximately the same point in the season over Rothera and Esrange, this means that the rate of change of zonal winds with time is greater over Rothera, since the strongest westward winds occur less than 2 months after the wind reversal, where Atmos. Chem. Phys., 10, 10273–10289, 2010 D. J. Sandford et al.: Part 1: Mean winds as over Esrange, the strongest winds occur more than 3 months after the reversal. Note that, in fact, the reversal to westward winds occurs slightly later in the season over Rothera than over Esrange, the differences generally amounting to less than 1 month (see Point 3 below). To illustrate this general point, if we consider the winds at a height of 80 km, the accelerations required to produce the strongest westward winds from the point at which the winds reverse into the summer circulation are: −24.6 m s−1 per month for Rothera and −9.5 m s−1 per month for Esrange. 2. The eastward summertime flow at the upper heights over Rothera is significantly weaker than that over Esrange. For example, the strongest eastward flow of more than 25 m s−1 occurs at the upper heights in a three-month interval over Esrange (June to August), whereas the eastward winds over Rothera only reach 25 m s−1 briefly in February. Further, the strongest eastward flows over Rothera are significantly weaker than over Esrange. Specifically, the strongest monthly-mean winds over Rothera reach only 25 m s−1 where as over Esrange it reaches more than 35 m s−1 . 3. The location of the zero-wind line shows that the summertime westward flow commences about one month later over Rothera than over Esrange (October over Rothera cf. late March over Esrange). 4. The zero wind line over Rothera does not reach higher than ∼95 km (which occurs in November). Examination of the individual years (Fig. 5a–e) shows that the winds never reverse to become westwards at the upper heights observed. In contrast, over Esrange the winds reverse to become westward at all heights in April/May. Examination of the individual years (Fig. 7a–k) shows that the winds reversed at all heights in eight of the nine years observed (2007 being the exception). 5. During autumn and winter, of the two polar regions, the composite-year winds generally agree to within about 5–10 m s−1 . However, it is noticeable that in late winter/early spring, differences are apparent at heights above about 90 km. In particular, in the Antarctic data in August–September the zonal winds exceed 20 m s−1 , whereas, in February–March in the Arctic, they are generally only 5–10 m s−1 . However, these differences were not found to be significant. Figure 10a and b presents a similar analysis for the meridional winds. During spring and late winter, the meridional winds are not significantly different. However, differences are apparent throughout the rest of the year, even though amplitudes are not as large as in the zonal case. The features include: www.atmos-chem-phys.net/10/10273/2010/ D. J. Sandford et al.: Part 1: Mean winds 10281 98 −8 16 96 88 −4 86 −8 −4 84 −8 82 −4 0 4 80 −12 90 82 −20 80 −4 −4 0 −12 −4 −8 −8 −4 0 0 −4 0 −8 −12 82 −8 −4 −8 −4 0 −8 0 −4 −8 −4 88 −12 −8 −4 −8 82 −8 −20 80 −4 0 −4 −4 −8 −12 −16 −4 −8 −12 −12 −8 −16 −12 92 90 0 0 −4 −8 −4 96 −4 0 −4 −4 0 0 0 −8 −8 92 −12 0 −4 0 −16 82 −20 80 12 −4 −4 4 88 0 86 82 −20 80 (j) 4 8 0 12 −4 −8 4 84 −16 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 8 8 12 −12 8 8 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) (k) 0 −4 −8 −4 −8 −4−8 −12 −12 −8−4 0 −4 −8 0 −16 0 −12 −16 −4 −20 4 STD OF MERIDIONAL MEAN WINDS OVER ESRANGE 12 −4 −12 −8 (i) 96 90 0 −8 4 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 98 92 16 −8 −4 8 −8 −4 84 16 04 −4 −4 −8 −12 20 0 −20 20 0 −4 86 0 4 −16 −4 −4 0 0 88 12 4 8 −4 −8 −8 90 8 94 4 0 −4 −16 94 96 −12 0 82 −12 98 −12 80 12 0 −8−12 0 12 98 −8 0 0 4 8 86 16 −8 −4 16 8 4 −4 −4 16 −4 −12 84 80 −4 −8 4 0 4 0 −8 −4 0 88 0 20 4 0 86 −12 HEIGHT (km) HEIGHT (km) −4 −12 86 20 4 90 20 12 0 −4 −8 −4 0 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2009 −4 0 90 88 −4 0 (h) 0 92 0 −8 −12 8 8 −16 −20 16 4 80−4 −4 −8 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) −20 12 −4 4 88 −8 −8 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2007 −4 0 0 −4 −4 92 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) −4 94 −4 8 4 84 −12 4 82 −16 8 82 −20 −4 −4 4 84 −16 4 WIND SPEED (ms−1) −8 0 (f) −4 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2008 0 −4 −8 −4 8 −12 −4 −12 −12 −4 −4 (g) 96 04 −8 0 −8 −4 −12 0 94 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 98 −4 −8 0 0 −8 −4 0 0 −12 −8 94 14 6 4 4 2 12 94 HEIGHT (km) −40 96 HEIGHT (km) 0 0 −8 −12 −8 96 4 −4 82 98 16 WIND SPEED (ms−1) −12 −8 84 80 98 16 HEIGHT (km) −4 −4 −4 20 8 0 0 −4 4 0 4 −4 −8 −12 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2006 −8 12 4 88 0 86 −4 0 −4 92 90 −4 −4 84 0 −4 0 −4 (e) −4 −4 20 4 86 −16 WIND SPEED (ms−1) HEIGHT (km) 94 80 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 84 0 −20 8 92 90 −8 −16 0 −4 86 82 12 −4 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2005 −12 −4 −8 4 4 −4 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2004 −4 0 (d) 96 8 12 8 −8 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 4 94 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 98 16 (c) 0 −4 20 −8 0 −8 −12 84 HEIGHT (km) 0 −8 84 80 4 −8 0 −4 0 4 90−4 0 88 −16 WIND SPEED (ms−1) −8 86 −8 96 HEIGHT (km) HEIGHT (km) 0 −4 −4 98 16 8 −4 92 −4 20 12 −8 88 4 4 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2003 0 WIND SPEED (ms−1) 0 −4 −8 −4 0 8 −4 92 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) −4 −8 90−4 −12 8 94 (b) −8 −12 −4 94 0 −8 −4 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2002 −8 0 0 (a) 96 4 0 0 4 −4 −8 −4 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) 98 4 −12 −4 86 −16 8 0 −8 88 84 12 0 −8 92 0 WIND SPEED (ms−1) 0 −4 94 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2001 WIND SPEED (ms−1) 4 0 4 6 92 90 10 4 2 4 8 2 6 88 4 6 86 −16 82 −20 80 4 2 846 6 2 2 2 8 6 4 4 STANDARD DEVIATION (ms−1) 8 −8 0 HEIGHT (km) −4 −4 0 −4 WIND SPEED (ms−1) 20 96 12 92 90 MERIDIONAL MEAN WINDS OVER ESRANGE FOR 2000 −12 4 −8 −16 98 −12 16 WIND SPEED (ms−1) HEIGHT (km) 94 20 WIND SPEED (ms−1) −12 −8 HEIGHT (km) −4 96 WIND SPEED (ms−1) MERIDIONAL MEAN WINDS OVER ESRANGE FOR 1999 98 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) (l) Fig. 8. (a–k) Monthly-mean meridional winds measured by the Esrange meteor radar for individual years between 1999 and 2009. (l) The Fig. 8a-l. (a)-(k) Monthly-mean meridional winds measured by the Esrange meteor radar for individual years standard deviation of all years of monthly-mean meridional winds. between 1999 and 2009. (l) The standard deviation of all years of monthly-mean meridional winds. www.atmos-chem-phys.net/10/10273/2010/ Atmos. Chem. Phys., 10, 10273–10289, 2010 10282 20 10 20 20 30 20 0 92 90 10 −10 −20 88 10 10 10 0 0 −10 86 −20 −10 0 −30 84 −30 82 10 80 −40 −20 −10 −30 WIND SPEED (ms−1) 10 20 94 HEIGHT (km) 50 40 96 −40 10 −50 0 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun TIME (Months) (a) ZONAL MEAN WINDS OVER ESRANGE 98 30 20 10 0 96 10 50 10 0 40 30 94 30 10 20 92 88 10 −10 10 0 −10 86 0 10 0 −10 −20 84 82 10 20 90 −30 WIND SPEED (ms−1) 2. Over Rothera this summertime flow is present over the entire height range observed. The greatest flow speeds exceed 10 m s−1 in December. In contrast, over Esrange the meridional flow in summer is more localised with a slightly stronger equatorward flow maximising at heights near 87 km (wind speeds exceed 12 m s−1 ). However, above this height, the winds actually reverse to become poleward at heights above 94 km during July and August. Examination of Fig. 8a–k, shows this region of poleward flow occurs over Esrange in each of the 9 summers observed, but no corresponding feature was seen over Rothera in any of the 5 summers observed. ZONAL MEAN WINDS OVER ROTHERA 98 HEIGHT (km) 1. Throughout most of the year the flow is equatorward and the strongest equatorward flow occurs during summer. Episodes of poleward flow occur in autumn and winter. However, there is a slight tendency for the strongest poleward flows to persist for longer after the summer solstice in the Arctic than the Antarctic. D. J. Sandford et al.: Part 1: Mean winds −20 −40 3. The standard deviation plot of Fig. 6f shows that −10 80 −50 10 −20 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec the greatest variability of the meridional winds over TIME (Months) Rothera occurs during winter (June–August). Simi(b) larly the standard deviation plot of Fig. 8l shows that the greatest variability over Esrange also occurs during winter (December to February).Fig. In 9a-b. fact, examina9. winds Monthly-mean winds by (a) the Rothera Monthly-meanFig. zonal measuredzonal by (a) the measured Rothera meteor radar between 2005 and meteor radar between 2005 and 2009 and (b) the Esrange meteor tion of Fig. 8a–k reveals that the monthly mean merid(b) the Esrange meteor radar between that(a) figure (a) has beeninshifted radar between1999 1999and and2009. 2009. Note Note that has been shifted time in time by ional winds can blow either poleward or equatorward in by six months (i.e.,(a) summers to aid comparisons. are to inaid thecomparisons centre of both and (b))are in the centre of different years. For example, strong wintertime pole-(i.e., Summers both (a and b)). ward flows are evident in 2001, 2004, 2006 and 2009. This year-to-year difference probably represents the behaviour of stationary planetary waves (see Sect. 4). We will now compare our observations and URAP at the latitude of Rothera (68◦ S) and Esrange (68◦ N). Figure 11a The meridional summertime jets over both sites occur siand b presents the monthly-mean zonal winds from URAP at multaneously with the strong shear in the zonal wind. The 68◦ S and 68◦ N, respectively. The figures are plotted such maximum equatorward meridional winds occur on or just bethat the summers are in the centre. low the zero-wind line in the zonal winds. Firstly, comparing these winds with those recorded by the 3.3 Comparison of mean winds with the UARS Rothera meteor radar (Fig. 9a), it can be seen that URAP repreference atmosphere project resents the summertime winds remarkably well. One difference which is apparent, however, is that the time in spring at The radar observations will now be compared with the URAP which the zonal winds reverse from eastward to westward, is (UARS Reference Atmosphere Project) empirical model. systematically different between the radar winds and URAP. URAP uses measurements from UARS (Upper Atmosphere In particular the reversal in URAP generally occurs in late Research Satellite). The data comprises zonal-mean winds September or early October at heights up to 90 km, whereas derived from HRDI (High Resolution Doppler Imager) meathe radar observations, show 25the reversal to occur approxisurements in the middle atmosphere made from January mately 2 weeks later, i.e. in mid to late October. The differ1992 to December 1995, supplemented by data from the UK ences noted above are evident in each of the 5 years of radar Met Office Stratospheric data assimilation system and other data. sources (e.g., Swinbank and Ortland, 2003). Note that the In contrast to the good agreement in summer, the eastHRDI instrument measures to latitudes of 72◦ , with the reward wintertime winds in URAP are significantly stronger gion between 40◦ S and 40◦ N being the highest sampled. than those observed over Rothera, often exceeding 30 m s−1 , This model contains the zonal mean zonal winds only. whereas over Rothera the winds are generally in the 10– 15 m s−1 range. Examination of the individual years of zonal winds over Rothera suggests that there are regular short- Atmos. Chem. Phys., 10, 10273–10289, 2010 www.atmos-chem-phys.net/10/10273/2010/ D. J. Sandford et al.: Part 1: Mean winds 10283 URAP ZONAL MEAN ZONAL WINDS AT 68S 0 4 92 8 8 96 12 94 8 4 4 4 0 88 4 0 −4 86 0 −8 84 −12 82 8 80 8 4 0 10 30 0 92 20 10 88 20 −10 20 −20 8430 −16 82 −20 80 0 30 −20 10 −4 16 96 12 94 0 4 −12 0 −8 −4 86 0 −12 −4 0 −8 −4 −8 −12 84−4 80 98 8 88 82 20 −12 0 HEIGHT (km) HEIGHT (km) 94 −8 −30 −40 −40 −30 −10 −20 0 20 −50 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun TIME (Months) WIND SPEED (ms−1) 0 −4 −10 −30 URAP ZONAL MEAN ZONAL WINDS AT 68N −4 −4 0 0 30 (a) 0 92 −4 90 10 86 MERIDIONAL MEAN WINDS OVER ESRANGE 96 0 −20 −10 (a) 0 10 30 90 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun TIME (Months) 98 40 20 30 20 40 30 20 92 10 90 88 50 10 10 0 −10 10 0 0 −10 86 −20 −20 84 −16 82 −20 80 10 −30 −10 10 0 −30−20−10 −1 90 16 WIND SPEED (ms ) HEIGHT (km) 94 50 20 −1 −4 98 HEIGHT (km) 96 0 WIND SPEED (ms−1) 4 WIND SPEED (ms ) MERIDIONAL MEAN WINDS OVER ROTHERA (Note: Colour Bar Reversed) 4 98 20 −40 −50 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TIME (Months) (b) (b) Fig. 2005 11.average The average winds empirical m Fig. 10. Monthly-mean meridional measured byThe (a) the Fig. 11a-b. longitudinally monthly-mean zonalmonthly-mean winds from zonal the URAP Monthly-mean meridional winds measured by (a)winds the Rothera meteor radar between and longitudinally 2009 Rothera meteor radar between 2005 and 2009 and (b) the Esrange from the URAP empirical model for an average year (a) for the ◦ ◦ S)S)and average year (a) for been the southern hemisphere (68 and northern hemisphere (68◦ N Esrange meteor radar between 2009.Note Note that figure has shifted in time by (68 Southern Hemisphere (b)(b) forfor the the Northern Hemisphere meteor radar between1999 1999 and and 2009. that (a) has been(a) shifted ◦ N). Note that (a) hasto been in time by six months to aid timehas bybeen six months andtothe bar hasfigure been reversed to aid (a) has blue been shifted in time byindicates six months aidshifted comparisons. nd the colourinbar reversed aidcolour comparisons. (i.e., The side of (68 the scale comparisons (i.e., the blue side of the scale indicates equatorward comparisons. lived episodes where the wintertime zonal winds do exceed 20 m s−1 . However, the strong and persistent westward winds of URAP are simply not observed over Rothera. The differences between our observations and URAP during the winter are generally in the order of 10–20 m s−1 . Secondly, we will now compare the observations and URAP at the latitude of Esrange (68◦ N). Figure 11b presents the monthly mean zonal winds from URAP at 68◦ N. Comparing these with the observations over Esrange (Fig. 9b), It can be seen that the agreement is generally quite good. However, there are again a number of significant differences. In contrast to the situation in the Antarctic, over Esrange the wintertime winds agree quite well and it is the summers which disagree. In particular, 26 in April/May the winds reverse to be westwards at all heights over Esrange, whereas in URAP, the winds above ∼92 km are always eastwards and never reverse. In fact, the individual years of radar observations presented in Fig. 7a–k, show this to be the case in 8 of the 9 early summers observed. Further, in the radar observations the zonal winds over Esrange reverse almost simultaneously at all heights in late March to the summertime westward flow. The height of the zero-wind line associated with the second summertime reversal from westward back to eastward winds is systematically lower by about 2 km in the observations over Esrange. A consequence of this is that, since the magnitude of the summertime wind shear is about the same in URAP and our radar observations, the eastward winds observed in the upper heights are stronger over Esrange than in URAP by about 10 m s−1 . In contrast to the Antarctic, the wintertime winds of URAP in the Arctic are of generally similar magnitude to those observed over Esrange; with differences being at most 5 m s−1 . The strong vertical structure of the zonal winds in summer allows an examination of the systematic differences between URAP and the radar data. The best agreement over Rothera (measured by minimising differences) occurs when 27 the URAP winds are assigned to a height 1.7 km lower than in the URAP climatology (or equivalently the Rothera winds are assigned to a height 1.7 km higher). Similarly, the best agreement over Esrange occurs when the URAP winds are assigned to a height 1.2 km lower than in the URAP climatology (or equivalently the Esrange winds are assigned to a height 1.2 km higher). This might indicate a systematic error in one or both of the data sets. However, it should be borne in mind, that the years of observation are different for flow and theflow red and sidethe indicates red sidepoleward.) indicates poleward). www.atmos-chem-phys.net/10/10273/2010/ Atmos. Chem. Phys., 10, 10273–10289, 2010 10284 HWM−07 ZONAL MEAN ZONAL WINDS AT 68S, 68W 40 30 20 10 92 10 90 10 88 0 0 −10 10 0 86 −10 −20 84 −30 −20 82 −10 0 80 20 −30 −20 −40 −50 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun TIME (Months) (a) HWM−07 ZONAL MEAN ZONAL WINDS AT 68N, 21E 10 40 50 30 40 HEIGHT (km) 94 20 10 20 90 88 30 20 92 40 20 30 30 10 10 0 WIND SPEED (ms−1) 96 Comparison of mean winds with the HWM-07 model 10 20 94 98 3.4 50 30 10 10 96 WIND SPEED (ms−1) 98 HEIGHT (km) the satellite and radar data sets and that the URAP winds are zonal averages rather than the local measurements of the radars. In summary, the summertime winds observed in the Antarctic agree very well with those of URAP, however, there are significant differences in winter with predicted winds sometime being twice as large as those observed. The springtime reversal is also ∼2 weeks later in the observations than the model. In the Arctic, it is the wintertime winds which agree quite well with differences being at most 5 m s−1 and the summers which disagree. The springtime reversal is observed at all heights over Esrange, but not above ∼92 km in the model. D. J. Sandford et al.: Part 1: Mean winds 0 −10 The second model against which we will compare our obser50 86 −20 20 50 vations is the provisional HWM-07 horizontal wind model 40 84 −30 −10 (Drob et al., 2008). This model succeeds the earlier HWM82 −40 0 30 20 10 93 model of Hedin et al. (1996). This latest version of HWM 80 40 −50 40 −10 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec is based on the previous version with the addition of an extenTIME (Months) sive set of new measurements from ground-based and space(b) based wind instruments. It contains both zonal and meridional components. Fig.zonal 12. Monthly-mean zonal winds from the HWM-07 Fig. 12a-b. Monthly-mean winds from the HWM-07 empirical modelempirical for an average yea Firstly we will consider the zonal winds of HWM-07 model for an average year (a) for the Southern Hemisphere (68◦ S) ◦ which are presented in Fig. 12a and b,southern for Antarctic and (68◦and hemisphere S) (b) andfor (b)thefor the northern hemisphere that figure (a) has Northern Hemisphere (68◦ N).(68 NoteN). thatNote (a) has been Arctic latitudes, respectively. The HWM-07 winds capture shifted in time by six months to aid comparisons. in time by six months to aid comparisons. some of the character of the meteor radar observations in summer in both the Antarctic and Arctic (Fig. 9a and b). However, significant differences are apparent. In particuobserved winds are generally in the range 5–15 m s−1 at all lar, in the Antarctic the spring reversal of the zonal winds heights, whereas the HWM-07 winds reach values exceeding from eastward to westward occurs about one month earlier 50 m s−1 below 90 km. in HWM-07, than observed, at heights below about 90 km. Secondly, we will consider the meridional winds of The summertime westward winds in HWM-07 are slightly HWM-07 which are presented in Fig. 13a and b for Antarcweaker than those observed by ∼10 m s−1 and the summertic and Arctic latitudes, respectively. In comparison to the time eastward winds are slightly stronger than those observed meteor-radar observations of Fig. 10a and b, it can be seen by more than 10 m s−1 . In the other seasons, the observed that there are significant differences. In the case of the winds and those of HWM-07 are generally in the range 10– Antarctic, the observations show poleward winds throughout 20 m s−1 . the year except in autumn and the lowest heights in winter. In contrast the HWM-07 winds are poleward except at the upIn contrast, the Arctic observations and HWM-07 winds per heights in summer and at the lower heights in winter. The (Figs. 9b and 12b) reveal striking differences. The summermagnitude of the poleward flows in HWM-07 is very much time westward winds of HWM-07 are significantly weaker stronger than the poleward flows observed. For example, the than observed. Further, the observed reversal in spring to observed winds reach only −4 m s−1 in the upper heights in westward flow which occurs at all heights during March is May, whereas the HWM-0728 winds reach −16 m s−1 at the missing from HWM-07, where the winds remain eastwards same height and time. The strongly equatorward flows of above ∼85 km. The summertime eastward winds in HWMHWM-07 are not evident in the observations at all. Further, 07 are significantly stronger than those observed. The obserthe deep region of equatorward flow occurring in summer in vations show the summertime eastward winds increasing in the observations occurs only in upper heights of HWM-07 strength at all heights until the end of August when the winds and the winds below ∼88 km are strongly poleward. abruptly decrease to values near 10 m s−1 . At the same time, the HWM-07 winds remain strong at the upper heights. In In the Arctic, large differences are also apparent. In parautumn and winter there is generally very poor agreement ticular, in spring, autumn and winter, HWM-07 includes between the observation and HWM-07. In particular, the regions of strong poleward flow, with speeds sometimes Atmos. Chem. Phys., 10, 10273–10289, 2010 www.atmos-chem-phys.net/10/10273/2010/ D. J. Sandford et al.: Part 1: Mean winds 10285 4 Discussion In this section we will consider our measurements of the winds of the Antarctic and Arctic MLT and consider how they relate to those reported in other studies and with the URAP and HWM-07 empirical models. We will then specifically consider our results in the context of those studies attempting to identify inter-hemispheric differences. There are a useful number of studies that report the winds of the Arctic MLT, a somewhat smaller number that report the winds in the Antarctic MLT and very few that compare the winds of both polar regions using measurements made by essentiallyidentical instruments. Studies of mean winds in the Antarctic MLT include those of Portnyagin et al. (1992, 1993, 2006), Vincent (1994), Dowdy et al. (2001, 2007a), Kishore et al. (2003), Hibbins et al. (2005), Merzlyakov et al. (2009). Here, we will not consider further the studies of Portnyagin et al. (1992), Merzlyakov et al. (2009) because they used meteor radars without height-finding capability and so reported winds that are www.atmos-chem-phys.net/10/10273/2010/ WIND SPEED (ms−1) WIND SPEED (ms−1) HEIGHT (km) HEIGHT (km) exceeding 12 m s−1 . In contrast, the observations from EsHWM−07 MERIDIONAL MEAN ZONAL WINDS AT 68S, 68W 0 −12−8 98 20 range reveal predominantly weak equatorward flow in these 16 96 −1 0 −16 −12 seasons. There is a region of poleward flow of ∼2 m s 12 94 −4 −4 4 in late winter over Esrange (February–March), but the cor−8 8 92 4 responding flow in HWM-07 is significantly stronger with 0 900 0 4 speeds greater than 8 m s−1 at heights below 88 km. The 88 4 −4 12 86 distinctive region of equatorward flow observed to peak in 12 −8 8 4 −4 84 June–July at heights of ∼86 km is also evident in HWM−12 8 0 −8 82 −16 07; although in the model peak wind speed occur about one 0 −4 80 −20 −16 4 month earlier than observed. In both cases the equatorward Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun −1 TIME (Months) wind speeds maximise at ∼12 m s . In summary, zonal HWM-07 winds capture some of the (a) features observed in summer of both regions. However, sigHWM−07 MERIDIONAL MEAN ZONAL WINDS AT 68N, 21E 16 12 9812 8 20 nificant differences are apparent. In the Antarctic, model 4 4 8 −4 0 16 −8 96 summertime westward winds are slightly weaker than ob12 12 94 served and eastward winds are slightly stronger. Below 0 8 92 ∼90 km the spring reversal occurs ∼1 month earlier in 4 −4 90 12 8 0 HWM-07. In the other seasons the amplitudes are in a similar 0 −4 4 8 88 4 −8 8 −12 −8 −4 range. In the Arctic, the differences are more striking. Model −4 0 86 −8 4 −4 −8 summertime westward winds are much weaker than observed 0 84 −12 4 and eastward winds are stronger. The spring reversal is ob82 −16 8 −4 12 80 −20 served to occur at all heights, but is missing in HWM-07. 20 12 0 16 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Also the autumn and winter agreement is generally very poor. TIME (Months) The meridional winds of HWM-07 do not agree well with (b) the observations. Antarctic observations show equatorward winds throughout most of the year, when the HWM-07 shows Fig.poleward 13a-b. Monthly-mean meridional winds from the HWM-07 model for an average yea Fig. 13. Monthly-mean meridional winds empirical from the HWM-07 emgenerally poleward winds. At times when flow is pirical model for an average ◦ year (a) ◦ for the location of Rothera in observed, it is much stronger in the model. In the Arctic fromin the southern hemisphere (68 S, location of Rothera 68 W) and (b) for the location of Esrange in the Southern Hemisphere (68◦ S, 68◦ W) and (b) for the location of autumn to spring the HWM-07 has regions of strong pole◦ ◦ ◦ E). Esrange in thefigure Northern Hemisphere (68◦ N, (a) and the co hemisphere (68 N, 21 E). Note that (a) has been shifted in 21 time byNote six that months ward flow, where the observations show weak equatorward has been shifted in time by six months and the colour bar has been been reversed to aid flow. The equatorward jet seen during summer is evident in comparisons. reversed to aid comparisons. both observations and the model, with similar amplitudes, however, the model peaks about one month earlier. averages across the meteor region, rather than revealing the vertical structure of the winds. Portnyagin et al. (1993, 2006), Vincent (1994), Dowdy et al. (2001, 2007a), Kishore et al. (2003), Hibbins et al. (2005) used selections of MF and Meteor radars at: Syowa (69◦ S, 40◦ E - MF), Molodezhnaya (68◦ S, 45◦ E - MWR), Mawson (67◦ S, 63◦ E - MF), Davis (69◦ S, 78◦ E - MF), Scott Base (78◦ S, 167◦ E - MF), MaMurdo (78◦ S, 166◦ E - MF) and Rothera (68◦ S, 292◦ E - MF) to measure zonal and meridional winds in the Antarctic MLT region. In general, the seasonal pattern of winds described in Sect. 3.1 agrees well with those reported in the above studies. However, there are a number of significant differences. In particular, in the zonal 29 winds, the strong wind shear evident over Rothera in summer that extends from 80–98 km is not observed above ∼92 km in any of the above results. For example, over Rothera, the summertime zonal winds reach speeds of up to 25 m s−1 in February at a height of about 97 km (Fig. 9a). In contrast, the zonal winds at the same height and time in the MF radar studies are generally in the range 5–10 m s−1 . These differences probably do not result from real differences in Atmos. Chem. Phys., 10, 10273–10289, 2010 10286 the zonal winds over different sites, but rather appear to be typical of differences reported when meteor- and MF-radar measurements are compared. These differences have been characterised by, e.g., Hocking and Thyaparan (1997), Manson et al. (2004). In general at heights above about 85–90 km MF radars record significantly weaker winds than meteor radars. Engler et al. (2008) estimated the winds measured by MF radar in the upper mesosphere to be too small by anywhere between 20– 40%. Similar results have been found by, e.g., Stubbs (1973), Cervera and Reid (1995), Hocking and Thyaparan (1997), Manson et al. (2004), Jacobi et al. (2009). The exact cause of these differences remains uncertain. The possibility of discrepancies highlight the importance of the meteor radar technique in measuring MLT winds above 85–90 km. Hibbins et al. (2005) used a combination of MF radar, falling sphere, radiosonde and model data to build up a climatology of zonal mean winds between 0 and 100 km above Rothera (67◦ S, 68◦ W). The MF radar is located at the same site as the MWR used here. In fact, the antennas of the MWR are actually located within those of the MF radar, making these radars the most co-located MF/MWR pair in the world. The Rothera MF-radar and falling-sphere data both showed that the maximum in the summertime westwards jet occurred much lower and earlier in the season than that observed at Andoya (69◦ N, 16◦ E), a similar latitude Northern Hemisphere site (Müllemann and Lübken, 2005). This difference was attributed to an atypically strong gravity-wave field over the Antarctic Peninsula and an interpretation supported by the height of the summertime zero-wind line which was observed to be around 87 km, somewhat lower than other similar latitude Southern Hemisphere sites (e.g., Portnyagin et al., 1993). In our study, the summer time zero-wind line is found to be around 95 km altitude, more in line with results reported elsewhere, and significantly different from the MF-radar results reported in Hibbins et al. (2005). We note, however, that the data used in Hibbins et al. (2005) were not contemporaneous with the observations reported here, and a subsequent analysis of the Rothera MF-radar data from 2005 onwards shows a much higher summer time zero-wind line more in line with the results presented here (not shown). It is interesting to note that the MF radar data used in Hibbins et al. (2005) were recorded almost exclusively during high solar activity, whereas the data presented here is recorded during the declining phase of solar cycle 23 and the deep solar minimum between cycles. However, whether the altitude of the summertime zero-wind line is directly related to changes in solar activity remains undetermined. Studies of mean winds in the Arctic MLT include those of Portnyagin et al. (1992, 1993, 2004, 2006), Hocking (2001), Dowdy et al. (2001, 2007a), Hall et al. (2003), Kishore et al. (2003). Again, we will not consider further the studies of Portnyagin et al. (1992) because they used meteor radar without height finding capability. Portnyagin et al. (1993, 2004, 2006), Hocking (2001), Dowdy et al. (2001, 2007a), Atmos. Chem. Phys., 10, 10273–10289, 2010 D. J. Sandford et al.: Part 1: Mean winds Hall et al. (2003), Kishore et al. (2003) used data from some or all of the following sites: Svalbard (78◦ N, 16◦ E– MR), Tromsø (70◦ N, 19◦ E–MF), Andenes (69◦ N, 19◦ E– MF), Kiruna (68◦ N, 20◦ E–MWR), Esrange (68◦ N, 21◦ E– MWR), Heiss Island (80◦ N, 58◦ E–MWR), Dickson Island (72◦ N, 80◦ E–MWR), Poker Flat (65◦ N, 213◦ E–MF), Resolute Bay (75◦ N, 265◦ E–MWR) to measure the zonal and meridional winds. The type of radar is indicated by MF (Medium Frequency) or MWR (Meteor Wind Radar). In general, the seasonal pattern of Arctic winds reported in Sect. 3.1 agrees well with those reported in the above studies. Again however, the strong wind shear towards the upper height gates >92 km evident in the MWR observations tends to be much larger than those of MF observations. For example, the zonal winds over Resolute Bay (Hocking, 2001) from the MWR reach values as large as 25 m s−1 and the MWR at Esrange, presented here, reaches wind speeds of >35 m s−1 . In contrast the zonal winds at the same height and time in the MF radar studies are generally in the range 5–10 m s−1 . Once more, these differences probably do not result from actual atmospheric differences, but are more likely to be a result of MWR/MF radar measurement uncertainties. A particular focus of this study has been to compare the winds of the Antarctic and Arctic MLT region. In Sect. 3.2, a number of similarities and significant differences have been identified in the winds of the two polar regions. The earlier inter-hemispheric studies of Portnyagin et al. (1993, 2006), Dowdy et al. (2001, 2007a), Kishore et al. (2003) also suggested significant differences between the Antarctic and Arctic MLT. The similarities are that firstly, both the Antarctic and Arctic stations measure the top of the summertime westward jet between 85 and 96 km and eastward winds throughout the rest of the year at these heights. Secondly, the meridional winds peak, with the strongest equatorward values at heights near 88 km. This maximum in the meridional winds is generally coincident in height with the reversal of the zonal winds (i.e., the zero-wind line). The main difference observed between the two hemispheres, is that in the Antarctic both the zonal and meridional winds reach their maximum values near the summer solstice. However, the strongest winds in the Arctic are delayed by ∼1 month compared to this. Dowdy et al. (2001) suggest that radiative effects are therefore stronger in the Antarctic and wave driving-effects are more important in the Arctic in determining the state of the summer polar MLT. Dowdy et al. (2007a) suggest that the equatorward flow near the summer mesopause (∼88 km), persists for longer in the Arctic than the Antarctic. This is also seen over Rothera and Esrange in Fig. 10a and b. Kishore et al. (2003) found that the wintertime zonal winds over Davis (69◦ S, 78◦ E) were nearly twice as large as those seen over Poker Flat (65◦ N, 147◦ W). However, their observations covered only 2 years of data and in the observations presented here there is a high degree of interannual variability in the zonal wintertime winds. Such www.atmos-chem-phys.net/10/10273/2010/ D. J. Sandford et al.: Part 1: Mean winds differences from year-to-year may thus not represent a climatological difference between the two polar regions. Alternatively, such differences may represent the contribution of stationary planetary wave. Kishore et al. (2003) also found that the Antarctic meridional winds were predominantly poleward throughout the year and the Arctic predominantly equatorward. In our observations, we find that both Arctic and Antarctic winds are predominantly equatorward. Again, the differences may arise because of stationary planetary waves and/or measurement biases between the MF-radar technique used by Kishore et al. and the meteor radar technique used here. The mean-wind standard deviation plots (Figs. 5f, 6f, 7l and 8l) indicate that inter-annual variability is greatest in different seasons in the two polar regions. The significantly greater level of variability evident in late winter/spring over Esrange compared to that over Rothera almost certainly reflects the major sudden stratospheric warming events that occur regularly in the Arctic, but are largely absent in the Antarctic (e.g., Hoffmann et al., 2007; Dowdy et al., 2007b). Planetary waves have been shown in modelling studies to exert a drag on the mean flow through Eliassen-Palm flux divergence (e.g., McLandress and McFarlane, 1993; Pogoreltsev, 1996). As stratospheric warmings are a disruption in the planetary wave field, they could lead to the differences observed. A possible explanation for the summertime variability over Rothera is because of the gravity wave activity which causes the reversal the zonal winds. Rothera is located on the Antarctic Peninsula and due to the relief of the land is known to be an area of intense gravity wave excitation and strong gravity wave momentum fluxes – at least in the troposphere and stratosphere (Alexander et al., 2008). Beldon and Mitchell (2009) also found significant inter-hemispheric differences in the mesopause region using the same two meteor radars. They found stronger Antarctic gravity-wave activity particularly in the spring compared with the Arctic. Variations in these fluxes could in turn result in significant variations in the momentum deposited in to the MLT, resulting in fluctuations in the zonal winds. Another possible explanation for the observed summmertime variability in the mesosphere over Rothera could come from planetary wave variability in the winter stratosphere of the northern hemisphere. Becker and Fritts (2006); Karlsson et al. (2009) both present modelling studies in which planetary-wave activity in the wintertime stratosphere causes variability in the mesopause of the opposite hemisphere through the shifting of the gravity-wave driven meridional circulation. Our results reveal that, overall, there is a better agreement between our observations and the zonal winds of URAP than is the case for HWM-07. The zonal URAP predictions fit the observations very well during the summertime. Wintertime winds, however, do not agree so well, in both URAP and particularly HWM-07. In the case of URAP, the differences are greatest in the Antarctic winter. In the case of HWM-07 it is the Arctic winds where the most significant www.atmos-chem-phys.net/10/10273/2010/ 10287 differences occur and the differences are significant throughout the year. There are two likely explanations of the wintertime differences. The first is the greater natural variability during this season, which probably includes significant contributions from stationary planetary waves. Stationary planetary waves will produce a longitudinally varying wind field. The observed winds may thus be somewhat different from the zonally-averaged winds of URAP. It should also be noted that these zonally-averaged winds could also contain a component of the migrating tides aliased onto them from the HRDI measurements, this could account for the differences observed since the semi-diurnal tide is known to have large amplitudes during winter. The Second is decadal scale variability in the circulation of the MLT. For example our Antarctic observations span the interval 2005–2009; whereas URAP is based on observations made between 1992 and 1995 (Such decadal scale variability has been suggested by, e.g., Portnyagin et al., 1993). In the case of the meridional winds there is generally poor agreement with HWM-07 and the strong poleward flows of the model are not observed. Finally, we note that Portnyagin et al. (1993) suggested that there are inter-annual trends in the polar winds. They reported that the zonal winds at ∼95 km in the Antarctic exhibited a trend of decreasing speed from 1968 to 1977. This was especially noticeable in July and January. This trend was not apparent in the Arctic. They also reported maxima in meridional winds occurring when the zonal winds are at a minimum (e.g., 1971 and 1982/83 from Portnyagin et al., 1993). Such long-term trends may, in part, account for some of the differences between our observations and the other observations and models discussed above, where the various studies used different years of observation. Merzlyakov et al. (2009) also reported trends in long-term mean-wind measurements in the Antarctic. They found that there was a tendency for the winter zonal winds to decrease in amplitude between 1970 and 2006. A similar trend was found in the summertime zonal winds between 1970 and 1990, however, they found an increasing trend after, between 1993 and 2005. We regard our Antarctic observations as being of too short in duration to make any meaningful estimate of trends in the mean winds. For the longer Arctic dataset, we carried out a linear regression analysis of the winds in each month and in each height gate (not shown). In this simple analysis, no significant tends in either the zonal or meridional winds were found. 5 Conclusions Meteor radars at Rothera (68◦ S, 68◦ W) and at Esrange (68◦ N, 21◦ E) have been used to measure winds in the Antarctic and Arctic mesosphere and lower thermosphere region at heights of 80 to 98 km. The inter-hemispheric comparisons suggest that there are some similarities as well as significant differences in both the zonal and meridional Atmos. Chem. Phys., 10, 10273–10289, 2010 10288 winds. The reversal of the zonal winds in summertime occurs about one month later over Rothera than over Esrange. The summertime wind shear is shifted between the two hemispheres giving stronger westward flow over Rothera and stronger eastward flow over Esrange but with very similar wind shear. The meridional winds over both sites show flow which is equatorward throughout most the year with significantly stronger equatorward flows during summer. Over Rothera the summertime jet is present over the entire height range, whereas over Esrange it is more localised in height. These differences in wind speeds and variability between the two polar regions may well originate from differences in the strength of gravity-wave driving of the mean flow and the behaviour of the Antarctic and Arctic stratospheric polar vortex, in particular sudden stratospheric warmings. Comparisons with URAP reveal a generally good agreement in the zonal winds, although significant differences exist in the Antarctic winter where URAP winds are noticeably stronger than observed. Comparisons with HWM-07 reveals significant differences in Arctic winter where HWM07 winds are much stronger than observed. The meridional winds of HWM-07 are significantly more poleward than observed. At least some of these differences may be due to stationary planetary waves producing a longitudinally varying wind field or may reflect decadal scale changes in the MLT circulation. Evaluating the magnitude of such effects represents an interesting and important area for future study. Acknowledgements. The authors would like to thank the teams who have working on the URAP and HWM models. This study was supported by the Science and Technology Facilities Council (STFC) of the UK. The Rothera Meteor Radar was funded under a Natural Environment Research Council (NERC) Antarctic Funding Initiative (AFI) Grant: AF15/38. Edited by: A. Baumgaertner References Alexander, M. J. and Teitelbaum, H.: Observation and analysis of a large amplitude mountain wave event over the Antarctic Peninsula, J. Geophys. Res., 112, D21103, doi:10.1029/2006JD008368, 2007. Alexander, M. J., Gille, J., Cavanaugh, C., Coffey, M., Craig, C., Eden, T., Francis, G., Halvorson, C., Hannigan, J., Khosravi, R., Kinnison, D., Lee, H., Massie, S., Nardi, B., Barnett, J., Hepplewhite, C., Lambert, A., and Dean, V.: Global estimates of gravity wave momentum flux from High Resolution Dynamics Limb Sounder observations, J. Geophys. Res., 113, D15S18, doi:10.1029/2007JD008807, 2008. Baumgaertner, A. J. G., McDonald, A. J., Fraser, G. J., and Plank, G. E.: Long-term observations of mean winds and tides in the upper mesosphere and lower thermosphere above Scott Base, Antarctica, J. Atmos. Sol.-Terr. Phys., 67(16), 1480–1496, 2005. Baumgaertner, A. J. G. and McDonald, A. J.: A gravity wave climatology for Antarctica compiled from Chal- Atmos. Chem. Phys., 10, 10273–10289, 2010 D. J. Sandford et al.: Part 1: Mean winds lenging Minisatellite Payload/Global Positioning System (CHAMP/GPS) radio occultations, J. Geophys. Res., 112, D05103, doi:10.1029/2006JD007504, 2007. Becker, E., and Fritts, D. C.: Enhanced gravity-wave activity and interhemispheric coupling during the MaCWAVE/MIDAS morthern summer program 2002, Ann. Geophys., 24, 1175–1188, 2006, http://www.ann-geophys.net/24/1175/2006/. Beldon, C. L., and Mitchell, N. J.: Gravity waves in the mesopause region observed by meteor radar, 2: Climatologies of gravity waves in the Antarctic and Arctic, J. Atmos. Sol.-Terr. Phys., 71, 875–884, 2009. Cervera, M. A. and Reid, I. M.: Comparison of simultaneous wind measurements using collocated VHF meteor radar and MF spaced antenna radar systems, Radio Sci., 30(4), 1245–1261, 1995. Dowdy, A. J., Vincent, R. A., Igarashi, K., Murayama, Y., and Murphy, D. J.: A comparison of mean winds and gravity wave activity in the northern and southern polar MLT, Geophys. Res. Lett., 28(8), 1475–1478, 2001. Dowdy, A. J., Vincent, R. A., Tsutsumi, M., Igarashi, K., Murayama, Y., Singer, W., and Murphy, D. J.: Polar mesosphere and lower thermosphere dynamics: 1. Mean wind and gravity wave climatologies, J. Geophys. Res., 112, D17104, doi:10.1029/2006JD008126, 2007a. Dowdy, A. J., Vincent, R. A., Tsutsumi, M., Igarashi, K., Murayama, Y., Singer, W., Murphy, D. J., and Riggin, D. M.: Polar mesosphere and lower thermosphere dynamics: 2. Response to sudden stratospheric warmings, J. Geophys. Res., 112, D17105, doi:10.1029/2006JD008127, 2007b. Drob, D. P., Emmert, J. T., Crowley, G., Piconem J. M., Shepherd, G. G., Skinner, W., Hays, P., Niciejewski, R. J., Larsen, M., She, C. Y., Meriwether, J. W., Hernandez, G., Jarvis, M. J., Sipler, D. P., Tepley, C. A., O’Brien, M. S., Bowman, J. R., Wu, Q., Murayama, Y., Kawamura, S., Reid, I. M., and Vincent, R. A.: An empirical model of the Earth’s horizontal wind fields: HWM07, J. Geophys. Res., 113, A12304, doi:10.1029/2008JA013668, 2008. Engler, N., Singer, W., Latteck, R., and Strelnikov, B.: Comparison of wind measurements in the troposphere and mesosphere by VHF/MF radars and in-situ techniques, Ann. Geophys., 26, 3693–3705, doi:10.5194/angeo-26-3693-2008, 2008. Hall, C. M., Aso, T., Manson, A. H., Meek, C. E., Nozawa, S., and Tsutsumi, M.: High-latitude mesospheric mean winds: a comparison between Tromsø (69◦ N) and Svalbard (78◦ N), J. Geophys. Res., 108(D19), 4598, doi:10.1029/2003JD003509, 2003. Hedin, A. E., Fleming, E. L., Manson, A. H., Schmidlin, F. J., Avery, S. K., Clark, R. R., Franke, S. J., Fraser, G. J., Tsuda, T., Vial, F., and Vincent, R. A.: Empirical wind model for the upper, middle and lower atmosphere, J. Atmos. Terr. Phys., 58(13), 1421–1447, 1996. Hibbins, R. E., Shanklin, J. D., Espy, P. J., Jarvis, M. J., Riggin, D. M., Fritts, D. C., and Lübken, F.-J.: Seasonal variations in the horizontal wind structure from 0–100 km above Rothera station, Antarctica (67◦ S, 68◦ W), Atmos. Chem. Phys., 5, 2973–2980, doi:10.5194/acp-5-2973-2005, 2005. Hocking, W. K. and Thyaparan, T.: Simultaneous and collocated observations of winds and tides by MF and meteor radars over London, Canada (43◦ N, 81◦ W), during 1994–1996, Radio. Sci., www.atmos-chem-phys.net/10/10273/2010/ D. J. Sandford et al.: Part 1: Mean winds 32(2), 833–865, 1997. Hocking, W. K., Fuller B., and Vandepeer, B.: Real-time determination of meteor-related parameters utilizing modem digital technology, J. Atmos. Sol.-Terr. Phys., 63, 155–169, 2001. Hocking, W. K.: Middle atmosphere dynamical studies at Resolute Bay over a full representative year: mean winds, tides, and special oscillations, Radio. Sci., 36(6), 1795–1822, 2001. Hoffmann, P., Singer, W., Keuer, D., Hocking, W. K., Kunze, M., and Murayama, Y.: Latitudinal and longitudinal variability of mesosphere winds and temperatures during stratospheric warming events, J. Atmos. Sol.-Terr. Phys., 69, 2355–2366, 2007. Holton, J. R., Curry, J. A., and Pyle, J. A.: Encyclopedia of Atmospheric Sciences, Volumes 1–6, Elsevier, 2003. Jacobi, C., Arras, C., Kürschner, D., Singer, W., Hoffmann, P., and Keuer, D.: Comparison of mesopause region meteor radar winds, medium frequency radar winds and low frequency drifts over Germany, Adv. Space Res., 43, 247–252, 2009. Karlsson, B., McLandress, C., and Shepherd, T. G.: Interhemispheric mesospheric coupling in a comprehensive middle atmosphere model, J. Atmos. Sol.-Terr. Phys., 71, 518-530, 2009. Kishore, P., Namboothiri, S. P., Igarashi, K., and Murayama, Y.: Further evidence of hemispheric differences in the MLT mean wind climatology: simultaneous MF radar observations at Poker Flat (65◦ N, 147◦ W) and Davis (69◦ S, 78◦ E), Geo. Res. Lett., 30(6), 1336, doi:10.1029/2002GL016750, 2003. Lieberman, R. S.: The gradient wind in the mesosphere and lower thermosphere, Earth Planets Space, 51, 751–761, 1999. Lübken, F. J., Müllemann, A., and Jarvis, M. J.: Temperatures and horizontal winds in the Antarctic summer mesopause, J. Geophys. Res., 109, D24112, doi:10.1029/2004JD005133, 2004. Manson, A. H., Meek, C. E., Hall, C. M., Nozawa, S., Mitchell, N. J., Pancheva, D., Singer, W., and Hoffmann, P.: Mesopause dynamics from the scandinavian triangle ofradars within the PSMOS-DATAR Project, Ann. Geophys., 22, 367– 386, doi:10.5194/angeo-22-367-2004, 2004. McIntyre, M. E.: On dynamics and transport near the polar mesopause in summer, J. Geophys. Res., 94(D12), 14617– 14628, 1989. McLandress, C., and McFarlane, N. A.: Interactions between Orographic Gravity Wave Drag and Forced Stationary Planetary Waves in the Winter Northern Hemisphere Middle Atmosphere, J. Atmos. Sci., 50, 1966-1990, 1993. Merzlyakov, E. G., Murphy, D. J., Vincent, R. A., and Portnyagin, Y. I.: Long-term tendencies in the MLT prevailing winds and tides over Antarctica as observed by radar at Molodezhnaya, Mawson and Davis, J. Atmos. Sol.-Terr. Phys., 71, 21–32, 2009. Mitchell, N. J., Pancheva, D., Middleton, H. R., and Hagan, M. E.: Mean winds and tides in the Arctic mesosphere and lower thermosphere, J. Geophys. Res., 107(A1), 1004, doi:10.1029/2001JA900127, 2002. Müllemann, A. and Lübken, F. J.: Horizontal winds in the mesosphere at high latitudes, Adv. Space Res., 35, 1890–1894, 2005. www.atmos-chem-phys.net/10/10273/2010/ 10289 Pogoreltsev, A.: Simulation of the influence of stationary planetary waves on the zonally averaged circulation of the mesosphere lower thermosphere region, J. Atmos. Terr. Phys., 58, 901–909, 1996. Portnyagin, Y. I., Forbes, J. M., Fraser, G. J., Vincent, R. A., Lysenko, I. A., and Makarov, N. M.: Dynamics of the Antarctic and Arctic mesosphere/lower thermosphere regions, Adv. Space Res., 12(10), 89–96, 1992. Portnyagin, Y. I., Forbes J. M., Fraser G. J., Vincent R. A., Avery S. K., Lysenko I. A., and Makarov N. A.: Dynamics of the Antarctic and Arctic mesosphere and lower thermosphere regions – I. The prevailing wind, J. Atmos. Terr. Phys., 55, 827– 841, 1993. Portnyagin, Y. I., Solovjova, T. V., Makarov, N. A., Merzlyakov, E. G., Manson, A. H., Meek, C. E., Hocking, W., Mitchell, N., Pancheva, D., Hoffmann, P., Singer, W., Murayama, Y., Igarashi, K., Forbes, J. M., Palo, S., Hall, C., and Nozawa, S.: Monthly mean climatology of the prevailing winds and tides in the Arctic mesosphere/lower thermosphere, Ann. Geophys., 22, 3395–3410, doi:10.5194/angeo-223395-2004, 2004. Portnyagin, Y. I., Merzlyakov, E. G., Solov’eva, T. V., and Makarov, N. A.: Interhemispheric distinctions in wind-regime parameters in the polar mesosphere-lower thermosphere, Izv. Atmos. Ocean. Phys., 42(1), 93–104, 2006. Plane, J. M. C., Cox, R. M., and Rollason, R. J.: Metallic layers in the mesopause and low thermosphere region, Adv. Space Res., 24, 1559–1570, 1999. Smith, A. K.: Physics and chemistry of the mesopause region, J. Atmos. Sol.-Terr. Phys., 66, 839–857, 2004. Stubbs, T. J.: The measurement of winds in the D-region of the ionosphere by the use of partially reflected radio waves, J. Atmos. Terr. Phys., 35, 909–919, 1973. Swinbank, R. and Ortland, D. A.: Compilation of wind data for the Upper Atmospheric Research Satellite (UARS) reference atmosphere project, J. Geophys. Res., 108(D19), 4615, doi:10.1029/2002JD003135, 2003. Vincent, R. A.: Gravity-wave motions in the mesosphere and lower thermosphere observed at Mawson, Antarctica, J. Atmos. Terr. Phys., 56(5), 593–602, 1994. Wu, D. L., and Jiang, J. H.: MLS observations of atmospheric gravity waves over Antarctica, J. Geophys. Res., 107(D24), 4773, doi:10.1029/2002JD002390, 2002. Younger, P. T., Astin, I., Sandford, D. J., and Mitchell, N. J.: The sporadic radiant and distribution of meteors in the atmosphere as observed by VHF radar at Arctic, Antarctic and equatorial latitudes, Ann. Geophys., 27, 2831–2841, doi:10.5194/angeo-272831-2009, 2009. Atmos. Chem. Phys., 10, 10273–10289, 2010
© Copyright 2026 Paperzz