Long-term trends and Gleissberg cycles in aurora borealis records
Transcription
Long-term trends and Gleissberg cycles in aurora borealis records
Solar Physics DOI: 10.1007/•••••-•••-•••-••••-• Long-term trends and Gleissberg cycles in aurora borealis records (1600–2015) M. Vázquez1,2 · J.M. Vaquero3 · M.C. Gallego4 · T. Roca Cortés1,2 · P.L. Pallé1,2 c Springer •••• Abstract The long-term spatial and temporal variation of aurora borealis events from 1600 to the present were studied using catalogues and other records of these phenomena. Geographic and geomagnetic coordinates were assigned to approximately 45 000 auroral events with more than 160 000 observations. They were analysed separately for three large-scale areas: (i) Europe and North Africa, (ii) North America, and (iii) Asia. Variations in the cumulative numbers of auroral events with latitude (in both geographic and geomagnetic coordinates) were used to discriminate between the two main solar sources: coronal mass ejections and high-speed streams from coronal holes. We find significant longterm variations in the space-time distribution of auroras. We mainly identify these with four Gleissberg solar activity cycles whose overall characteristics we examine. The Asian observations are crucial in this context, and therefore merit further studies and verifications. Keywords: Solar activity, Solar cycles, Geomagnetic storm, Aurora borealis 1. Introduction During the last few decades a network of ground- and space-based instruments has monitored in detail the interaction (compression and magnetic reconnection) between the solar wind and the Earth’s magnetosphere (see Saiz et al., 2013). Especial care has been devoted to the transient events (geomagnetic storms), that configure the space weather. The process behind these events has three main phases: (i) the solar sources of energetic particles – flares, coronal mass 1 Instituto de Astrofı́sica de Canarias, 38200 La Laguna, Spain. email: mva@iac.es 2 Departamento de Astrofı́sica, Universidad de La Laguna, 38205 La Laguna, Spain. 3 Departamento de Fı́sica, Universidad de Extremadura, Avda. Santa Teresa de Jornet 38, 06800, Mérida, Spain. email: jvaquero@unex.es 4 Departamento de Fı́sica, Universidad de Extremadura, 06071 Badajoz, Spain. email: maricruz@unex.es SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 1 Vázquez et al. ejections (CMEs) and coronal holes; (ii) the interplanetary magnetic field (IMF) configuring the heliosphere; and (iii) the consequences of the impact on the terrestrial magnetosphere and atmosphere which may give rise to a geomagnetic solar storm, generally favoured by a southward polarity of the IMF. Close correlations between the three phases have been found (e.g., Tsurutani et al., 1997; Kamide and Maltsev, 2007; Richardson and Cane, 2012; Lockwood and Owens, 2014). Auroras are a manifestation of this process in the Earth’s atmosphere. Since they are easily visible without instruments and occupy a large angular extent of the sky, their occurrence can be tracked over several centuries on the basis of not only scientific observations but also popular reports. See Chapman (1970), Siscoe (1980), Silverman (1992), Feldstein et al. (2014), and Akasofu (2015) for reviews, and the monographs of Eather (1980), Akasofu (2009), and Vaquero and Vázquez (2009). Frequency of aurora occurrence can be used as a proxy to study the past behaviour of solar activity. These proxies have a longer coverage than sunspots and geomagnetic indices, and a better time resolution than provided by cosmogenic isotopes (14 C, 10 Be). The main disadvantage of using auroras as a proxy of solar activity is their dependence on the conditions of the IMF and the inhomogenity of the records, both in space and time. One must also take into account the warning of Riley et al. (2015) that ”if no aurora was reported, it may or may not mean that none occurred”. The same applies to sunspots, meaning that these parameters lead to underestimates of the geomagnetic activity. The visibility of auroras is limited to ring-shaped regions around the geomagnetic poles – the auroral ovals – centred at around 65 degrees magnetic latitude in each hemisphere (Feldstein, 1963). Viewed from space, auroras are diffuse oval rings of light around the geomagnetic poles. Under the impact of a solar storm, the auroral ovals undergo broadening, particularly on the night side. All of the great auroral expansions have been associated with intense values of the interplanetary magnetic field (Sheeley and Howard, 1980). The variation of the radius of the auroral oval in response to solar wind changes has been studied by Milan et al. (2009). Low-latitude auroras are very rare, and are clearly associated with strong geomagnetic storms produced by solar coronal mass ejections. They are generally red and diffuse, resulting primarily from an enhancement of the 630.0 nm [O i] emission due to bombardment by soft electrons (<100 eV) (Tinsley et al., 1986). The typical altitude for a low-latitude aurora is 250 – 400 km (Roach et al., 1960; Brekke and Broms, 2013). A similar phenomenon, which shares the same energy source, is that of stable auroral red arcs, observed mainly during the recovery phase of geomagnetic storms (Rassoul et al., 1993; Nakazawa, Okada and Shiokawa, 2004). In this context, we should also remark that low-latitude auroras have been observed too during periods of weak to moderate geomagnetic activity. Silverman (2003), considering US auroral data from 1880 to 1940, has shown that some of the auroral phenomena occurred under conditions of quiet or moderate magnetic activity and at low latitudes. He used the term “sporadic aurora” for this type of auroral phenomenon. As another example, Willis, Stephenson, and Fang (2007) SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 2 Aurora Borealis compiled 42 Chinese and Japanese auroral observations during the period 1840 – 1911, and found that at least 29 of the 42 observations (i.e., 69%) occurred at times of weak to moderate geomagnetic activity. See also Vaquero, Trigo and Gallego (2007) and Vaquero, Gallego and Dominguez-Castro (2013) for records from the Iberian Peninsula and Mexico, respectively. The visual sensitivity thresholds of the green and red radiation of the auroras are between one and ten kilorayleighs, which means that only those auroras coming from moderate and strong geomagnetic storms will be visible and therefore come to form part of our sample (Schröder, Shefov, and Treder, 2004). It is clear that the meteorological conditions also play a role, although a cloud-free sky is not necessary. Fritz (1873) produced the first graph showing the geographical distribution of auroral frequencies, measured in nights per year. The values ranged from a minimum in the Mediterranean area to a maximum at a magnetic latitude of 67 degrees. According to Livesey (1991), the zone with the greatest aurora borealis probability passes across northern Norway, over to Iceland, south of Greenland, and over to the south of Hudson Bay in North America. In previous articles (Vázquez, Vaquero and Curto, 2006; Vázquez and Vaquero, 2010; Vázquez, Vaquero and Gallego, 2014), we started with studies of low-latitude events available in the Spanish documentary sources. In Vázquez, Vaquero and Gallego (2014), we began on the task of constructing a global catalogue showing the results for the period 1705 – 1905. We applied a method to discriminate between the solar sources of the auroras based on the variation with latitude. Low- and mid-latitude auroras are well correlated with the solar cycle, indicating a CME source. On the contrary, high-latitude auroras are anticorrelated with the 11-yr cycle, pointing to a source in the high-speed streams coming from coronal holes. The critical geomagnetic latitude separating these two sources was found to be located at around 61 degrees. In the present communication, our intention is to update this catalogue and to extend the coverage to the period 1600 – 2015, thus including several discontinuities in solar activity. Our main challenge now is to provide a 3D map (geographic/geomagnetic coordinates plus time) of the auroral activity in the past, when auroral observations constitute the only information available about heliospheric activity. So far as we know, it is the first time that this task has been attempted, because previous work has mainly been based on the number of auroras and/or on limited regions of the Northern Hemisphere. Our final challenge will be to investigate the main characteristics of the last Gleissberg cycles of auroral activity, including the Maunder Minimum. In short, we are interested in the space climate during the last 415 years. 2. The auroral catalogue: general characteristics For the present work, we selected the geographical coordinates of every site at which an aurora had been visible. This allowed geographic coordinates to be ascribed to each observation. If necessary, a selection was made from the existing sample to give the broadest coverage in both longitude and latitude. When more SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 3 Vázquez et al. data were available for an auroral event, all of them were included, combining the different sources, except that very close sites were only represented by one record. Indeed, in general, we tried to exclude from our catalogue any multiplicity due to sites that are near together, say, differing by less than one degree in position. Figure 1 shows the histogram of the number of observations per auroral event. Broadly speaking, the more powerful the event, the more observing sites there were per day. 0.5 Relative Frequency 0.4 0.3 0.2 0.1 0.0 0 2 4 Number of Sites per Day 6 8 Figure 1. Histogram of the number of available observations per auroral event. Those events with more than seven observations are included together under the number 7. Blue: Europe and North Africa. Red: North America. The number of nights in the period studied (1600 – 2015) was approximately 125 000 (400 years)1 . Therefore we have a coverage of approximately 35% of the available nights. The available data for the Northern Hemisphere were divided into three continental domains corresponding to Europe (and North Africa), North America, and Asia. Table 1 lists the numbers of observations and auroral events for each of these continental domains. The first sources of data for the earliest centuries of our sample were the catalogue of Fritz (1873) and the archives of S. Silverman2 . Fritz’s North American data are mainly based on the earlier catalogues of Lovering (1866) and Loomis 1 We have excluded those summer days in high latitudes, where the aurora borealis cannot be seen. 2 These include: (i) the Catalog of Ancient Auroral Observations, 666 BCE to 1951; (ii) the Auroral Notations from the Canadian Monthly Weather Review; (iii) the New England Auroral SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 4 Aurora Borealis Table 1. Total number of auroral events and observations in the three domains of our sample. ZONE EUROPE NORTH AMERICA ASIA Auroral events Number of observations 39 612 32 600 1 195 80 132 79 752 2 321 (1860, 1861). They are complemented for the later phase of the 19th century with data from Greeley (1881). For Europe, the Fritz data were complemented with additional values for high latitudes from Rubenson (1882) and Tromholt3 (1898). Particularly relevant are the Greenland observations contained in the Fritz catalogue and the Silverman archives (see Stauning, 2011). For the rare low latitude observations, we also included data for the Iberian Peninsula4 and the Canary Islands (Vázquez and Vaquero, 2010). Some of the early Arctic expeditions in Canada and Alaska did not keep an appropriate record of the aurorae boreales that were observed5 . On the contrary, only a few cases of low-latitude events have escaped detection, and events of that type have often been described in historical reports and/or scientific papers. The data sample is clearly inhomogeneous in both space and time. This reflects not only meteorological variations but also the difficulties of access to some regions with the consequent low population density. This is especially notable for Asia, where large areas are practically unpopulated. For North America, there are many temporal gaps up to 1746, and, after that, no data are available for the years 1754, 1755, 1756, 1766, 1799, 1810, or 1812. There is a remarkable contribution for the entire period studied from numerous forts (more than 60) located along the borders of the expanding settlement of the western and northern territories. Therefore, we assume that an aggregated data set, as is the present case, would give the same result as an integrated data set (see Silverman, 1985). Indeed, this is an approach that we have to take in order to handle the extended period of time we are trying to cover. For the 20th and 21st centuries, we have included many other sources (see Tables 2 and 3). A non-negligible part of our data comes from popular media of different types, such as newspapers and, in the last decades, internet resources. Observations (1720 – 1998); and (iv) the Daily Auroral Reports Southeastern Canada and Northeastern US (1848 – 1853). 3 For a biography of S. Tromholt see Moss and Stauning (2012). 4 These include published data from Vaquero, Gallego, and Garcı́a (2003), Vaquero and Trigo (2005), Aragonès Valls and Orgaz Gargallo (2010), and Vaquero et al. (2010). 5 ”This phenomenon having been described by many authors, some of whom have exhausted the powers of language in the elegance of their representations, renders it unnecessary for me to attempt any general description of this interesting spectacle.” W. Scoresby (1820) The Arctic Regions, Vol. I p.416. See also C.I. Jackson (2013) The Voyage of David Craigie to Davis Strait and Baffin Bay (1818), The Journal of the Hakluyt Society. SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 5 Vázquez et al. Table 2. Catalogues used for the auroras observed in Europe. BAA stands for British Astronomical Association, and WDCA for World Data Center for Aurora, Japan. The Observatories Year Books, containing auroral observations, were published by the Meteorological Office. The archives of S. Silverman are available at http://spdf.sci.gsfc.nasa.gov/pub/data/aaa historical aurora/ Reference Start-End Observations Fritz (1873) Link (1964) Angot (1897) BAA WDCA, Japan Space Weather 1600–1874 1600–1700 CONTINENTAL REGIONAL Sweden Norway Finland (all-sky) Finland Denmark Netherlands Hungary Croatia Iberia Germany United Kingdom LOCAL Berlin Sunderland, UK Stroud, UK Canary Islands 1970–2008 1957–1974 2000– Rubenson (1882) Tromholt (1898) Nevanlinna and Pulkkinen (2001) Finnish Aurora Observers Lassen and Laursen (1968) Visser (1942) Réthly and Berkes (1963) Lisac and Marki (1998) Aragonès Valls and Orgaz Gargallo (2010) Schröder (1966) Polarlicht Archive Obs. Year Book 1716–1877 1973–1997 2000– 1960–1966 1732–1940 1523–1960 1737–1991 1700– 1882–1956 1938– 1923–1964 Kassner (1941) N/A (1902) Harrison (2005) Vázquez and Vaquero (2010) 1707–1770 1860–1900 1771–1805 1770–2003 For publications with an especial emphasis on low-latitude aurora observations, see Gartlein and Moore (1951), Tinsley et al. (1986), Vallance Jones (1992), and Shiokawa, Ogawa and Kamide (2005). Figure 2 shows the locations of auroral observations, on a Mercator projection, of the Northern Hemisphere. The map clearly mimics the distribution of the human population in the Northern Hemisphere6 . Tables 4 and 5 list the regions where most auroral events were reported for Europe and North America, respectively. The number of sites is clearly low for Eastern Europe, as it also was for Asia. For the Asian data we used data from the sources listed in Table 6. We shall discuss these events in detail later in the paper. 6 See one of the pictures of Earth at Night. SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 6 Aurora Borealis Table 3. Catalogues used for the auroras observed in North America. BAA stands for British Astronomical Association and WDCA for World Data Center for Aurora, Japan. Reference Start-End Observations Fritz (1873) Greeley (1881) Silverman BAA WDCA Different Reports Space Weather 1600–1874 1873–1879 1970–2008 1957– 1600–2015 2000– Broughton (2002) Mende et al. (2008) Vestine (1944) 1769–1821 1997–2015 1932–1933 Lueders (1984) Bond et al. (1889) Barnard (1902) Barnard (1909) Stetson and Brooks (1942) Silverman and Blanchard (1983) Milton (1969) Milton (1962) 1859–1884 1840–1888 1897–1902 1902–1909 1885–1940 1883–1931 1953–1961 CONTINENTAL REGIONAL Canada THEMIS/GAIA Keograms Polar Years LOCAL Washburn Observatory Harvard Observatory Yerkes Observatory Blue Hill Jericho, Vermont Edmonton Table 4. Regions and countries where auroras were most frequently observed in Europe. Balkans includes the following present countries: Slovenia, Croatia, Bosnia-Herzegovina, Serbia, and Montenegro. Central Europe: Austria, Czech Republic, Slovakia, and Hungary. Black Sea: Bulgaria, Romania, and Turkey. Finally, Macaronesia includes the archipelagos of the Azores, Madeira, and the Canary Islands. Greenland Fennoscandia Iceland Germany BeNeLux Central Europe Poland Arctic Islands Iberian Peninsula Baltic States Balkans Macaronesia Malta 9589 9079 4787 2643 1710 655 523 342 155 54 52 14 3 Scotland and North Sea Islands Southern Scandinavia England and Wales European Russia France Ireland Italy Switzerland West Atlantic (ships) Greece Black Sea North Africa 9047 8487 2956 1825 1244 516 481 215 134 49 26 13 SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 7 Vázquez et al. Table 5. States (US), provinces and territories (Canada) in which auroras were most frequently observed in North America. New England includes Massachusetts, Maine, New Hampshire, Vermont, Connecticut, and Rhode Island. New England Quebec and Eastern Canada Manitoba Alberta New York Saskatchewan Northwest Territories Nunavut Michigan Ohio Virginia Wyoming Illinois Indiana Colorado California North Carolina Texas Kentucky South Carolina New Mexico Arizona Eastern Atlantic Florida Mexico 6818 4896 4191 3926 2575 2343 2155 1220 1043 898 727 544 516 449 278 194 109 94 57 50 39 37 32 32 16 Ontario North Dakota Alaska Montana Wisconsin Minnesota British Columbia South Dakota Iowa Pennsylvania Washington State Nebraska Missouri Idaho Kansas Oregon Nevada Tennessee Arkansas Utah Alabama Oklahoma Western Pacific Caribbean Sea Hawaii 5882 4900 4106 3043 2437 2196 1474 1134 951 763 552 526 523 309 266 104 95 91 53 41 36 33 10 24 2 Table 6. Catalogues used for the auroras observed in Asia. WDCA stands for World Data Center for Aurora, Japan. Reference Start-End Observations Fritz (1873) Silverman Different Reports 1600–1874 CONTINENTAL REGIONAL Korea Korea Arab Countries China, Korea, and Japan China and Japan Siberia Xu, Pankenier and Jiang (2000) Lee et al. (2004) Basurah (2004) Yau, Stephenson and Willis (1995) Willis, Stephenson and Fang (2007) Willis, Henwood, Stephenson (2009) Willis et al. (2005) WDCA 1600–2015 1600–1662 1105–1779 –1770 1840–1911 1957–2004 –1910 1957–1962 SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 8 Aurora Borealis Figure 2. Sites, indicated by black bullets, where auroras were visible at least once in the Northern Hemisphere during the period studied: 1600 – 2015. The Mercator projection exaggerates the areas close to the geographic pole. The histograms of the latitude distributions for Europe and North America (Figure 3) both suggest a bimodal distribution, with the maxima at middle or at high latitudes for North America and Europe, respectively. The expected trend would be more auroral events observed at high latitudes, but in the case of North America the histograms clearly reflect the slowly progressing settlement of the northern areas. Examples are the northern US states of Oregon and Idaho which present relatively few reports due to this population effect. Also, access to southern data was delayed until these regions (Louisiana, Florida, Texas, New Mexico) were annexed by the USA. A search of 18th century sources in Spanish documents would therefore be interesting for this region. The latitude distribution of the European records shows more discontinuities, reflecting the existence of interior seas (North, Baltic, Mediterranean, etc.). We checked the relationship between the auroral observations in these catalogues and moonlight, since an aurora should be easier to observe when there is little moonlight during the night. In particular, the light of the full Moon would impede the observation of weak auroras. Therefore, we expected relatively more (fewer) reported auroras when there was a new (full) Moon. Indeed, we found that there was a clear decline in observed events with increasing brightness of the Moon. 3. Latitudinal Variation: Solar Source of the Auroras As stated in the introduction, the IMF (also called Heliospheric Magnetic Field, HMF) forms a link between the magnetic flux at the top of the solar atmosphere (open magnetic flux, OMF) and the Earth’s environment (Owens and Forsyth, 2013; Lockwood, 2013). This connection can be distorted temporally mainly by two agents, giving rise to auroras, among other effects. i) Coronal mass ejections, CME: They are transient phenomena linked to large-scale reorganizations, reconnection, of the magnetic field in closed configurations (active regions). They consist of a massive burst of solar ionized particles SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 9 Vázquez et al. Figure 3. Histograms (independently normalized) of geographic latitudes for Europe, North America, and Asia using the different catalogues. threaded with magnetic field lines, ejected from the Sun over the course of a few hours. The CME rate closely follows the solar cycle, expressed by the sunspot number (Webb and Howard, 1994; Robbrecht, Berghmans and Van der Linden, 2009) and the Gnevyshev double peak (Gnevyshev, 1967; Feminella and Storini, 1997), but the main physical parameters of CMEs lag the sunspot number by 1–2 years (Gonzalez et al., 1990; Du, 2012). ii) High-speed streams: Large-scale magnetic regions in the solar atmosphere have field lines open outwards to the interplanetary medium, the so-called coronal holes (CH). Long-lived coronal holes are sources of high-speed streans in the solar wind, and are related to recurrent geomagnetic activity (Krieger, Timothy and Roelof, 1973). Low-latitude CHs occur more frequently in the declining phase of the sunspot cycle (Verbanac et al., 2011). Figure 4 shows the temporal variation of estimates of the sunspot number (Clette et al., 2014) and open magnetic field (Solanki, Schüssler and Fligge, 2000). Usoskin et al. (2002) carried out simulations of the variations of the OMF with a model based on the emergence and decay rates of active regions (Solanki, Schüssler, and Fligge, 2002). That model fits other proxies of solar activity, such as the 10 Be records in ice cores, reasonably well. There is a clear maximum at SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 10 Aurora Borealis the beginning of 17th century, followed by the Maunder Minimum (no yearly data are available; see however Owens, Usoskin and Lockwood, 2012), and the rapid increase in the 18th century (Alanko-Huotari et al., 2007). This behaviour will be studied in the next section in detail with our auroral observations. Figure 4. Temporal variation of the open magnetic field (solid lines) and the Sunspot Number (courtesy: M. Schüssler). The Sunspot Number values before the Maunder Minimum are from Usoskin, Mursula and Kovaltsov (2003) and Vaquero et al. (2011). Siscoe (1980) discriminated between auroras that are visible north and south of 54 degrees using Scandinavian records, noting that the southern data tracked the 11-year solar cycle more clearly. The Greenland observations confirmed that, at high latitudes, the aurora maximum coincides with the sunspot cycle minimum7 , and confirmed in many later publications. Bravo and Otaola (1990) studied the location of solar coronal holes and their influence on the auroral records. They found that the number of auroras is positively correlated with polar coronal holes that reach solar latitudes below 60 degrees. Verbanac et al. (2011) found that high-speed streams originating in equatorial coronal holes are the main driver of geomagnetic activity in the declining phase of the solar cycle. In order to differentiate between the distinct solar sources, we plotted the cumulative values, NLat,j , of the number of auroras visible for each 1.5 degree wide latitude band. These values were computed using the formula NLat,i = X nLat,j . (1) The increase found is almost exponential. We took the resulting curve to consist of three segments, to each of which we made straight-line fits. The intersection of the three segments could represent the boundaries between different solar sources of the auroral event. The three pairs of plots of Figure 5 show the results for Europe, North America, and Asia, respectively. 7 This is based on calculations made by S. Tromholt analysing the observations made in Greenland by M. Kleinsmidt at Godthaab (cited in Lemström, 1886, pp. 40-41). SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 11 Vázquez et al. The low-latitude segment would represent the auroras produced by strong solar storms, with the northern limit at 49 degrees in Europe and 39 degrees in North America. This would define the so-called low-latitude auroras. The middle segment corresponds to auroral events produced by CMEs of medium strength. In the upper latitude segment, the predominant role is played by the fast streams from coronal holes. In this case, the variation of the geographic latitude plays only a minor role. The limits are approximately 66 degrees for Europe and 44 degrees for North America. One must take into account that high-latitude auroras also occur when CMEs hit the Earth during an episode of northward polarity of the IMF (Cumnock, 2005; Cumnock et al., 2009). Figure 5. Cumulative values of the number of auroras visible per 1.5 degrees latitude bin (see the text for explanation). Top panel: Europe and North Africa. Middle panel: North America. Bottom panel: Asia. The panels on the right are plots on a logarithmic scale. The latitude distribution is flat-topped at high latitudes (low activity) and with a linear decrease towards low-latitude auroras (high activity). Hapgood (2011) reported a similar behaviour for the occurrence frequency of the geomagnetic index aa, typical of a power-law distribution. A parabolic shape SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 12 Aurora Borealis gives a suitable fit to the data, with most of the shoulder being avoided in the calculation: log N = (−6.0 ± 0.3) + (0.29 ± 0.01)φ − (0.0019 ± 0.0001)φ2 EU ROP E (2) log N = (−8.6 ± 1.1) + (0.48 ± 0.05)φ − (0.004 ± 0.0006)φ2 N ORT HAM ERICA (3) log N = (−0.9 ± 0.5) + (0.10 ± 0.02)φ − (0.0007 ± 0.0002)φ2 ASIA (4) where φ is the geographic latitude in degrees. 4. Temporal Variation The 11-yr cycle was the first hint of solar variability of magnetic origin (Schwabe, 1844). There followed the suggestion that longer cycles might exist (Gleissberg, 1939, 1944, 1967) with quasi-periodicities in the range 80–120 years. In the present study, we are mainly interested in time scales longer than the 11-yr solar cycle. The existence of variability of the solar activity at these scales (100–1000 yr) has been interpreted in terms of chaotic fluctuations of the solar dynamo, and is identified as a phase catastrophe of the 11-yr cycle in the records (Kremliovsky, 1994; Choudhuri and Karak, 2012; Pipin, 2014). Different proxies have been used to study the past solar activity. The Sunspot Number has clearly been the most often used. Another is based on the anticorrelation of solar activity with the galactic cosmic ray flux, and thus with the abundance of cosmogenic isotopes stored in different terrestrial reservoirs. For reviews concerning the long-term variation of solar activity, see Usoskin (2013). Using different proxies, Peristykh and Damon (2003) and Ma (2009) have found a persistence of the Gleissberg cycle over 7000 and 12 000 years, respectively. Usoskin et al. (2004) have reconstructed the Sunspot Number from 10 Be records, finding a 600 yr periodicity together with the Gleissberg cycle. Hanslmeier et al. (2013) found that various solar proxies are affected by different non-solar factors, and reflect only the solar activity at long-term scales (> 80 yr). Following estimations of cosmic ray intensities based on 10 Be measurements, McCracken et al. (2013a) suggested the existence of great stability in the Gleissberg cycles (87 yr and multiples). In a later paper (McCracken et al., 2013b), they determined the timing of 26 Grand Minima with an average duration of 50-100 years (see also Usoskin, Solanki and Kovaltsov, 2007). The following are some of the recent findings that particularly stand out. McCracken (2007) shows that the level of the HMF has increased from 1500 to the onset of the present century, with maxima occurring in 1735, 1780, 1850, and 1950. Based on nitrate concentrations measured in ice cores, McCracken et al. (2001) indicate the existence of well-defined maxima of solar proton events SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 13 Vázquez et al. reaching the Earth for the years 1610, 1710, 1790, 1870, and 1950. And Traversi et al. (2012) detected Gleissberg cycles in their measurements of nitrate contents in an Antarctic ice core to study the solar variability during the Holocene, thus providing an independent test of their long-term existence. However, this result has been disputed by several authors (Wolff et al., 2012; Duderstadt et al., 2014), who showed that nitrate cannot be a reliable tracer of solar energetic particle (SEP) events. On the other hand, Traversi et al. (2012) have indicated that the use of nitrate is useful to trace the variability of Galactic Cosmic Rays (GCR), detecting Gleissberg cycles in their measurements of nitrate contents in an Antarctic ice core and studying the solar variability during the Holocene. Therefore, they provide an independent test of their long-term existence. The solar equatorial rotation rate and its latitude variation are related to the level of magnetic activity (Balthasar, Vázquez, Wöhl, 1986; Casas, Vaquero and Vázquez, 2006). For past times, it has been determined from sunspot drawings made in different epochs. Javaraiah, Bertello and Ulrich (2005) have detected changes in the latitudinal rotation gradient with a periodicity close to 80 years, similar to the length of a Gleissberg cycle. Mouradian (2013) has suggested that the sunspot rotation rates show a 54.7 yr periodicity, putting forward the view that this should be the parameter that defines a long-term cycle, with the Gleissberg cycle being just a harmonic (109.4 years). The analysis of different auroral catalogues shows a quasi-80-year periodicity – the Gleissberg cycle (Hansteen, 1831; Siscoe, 1980; Feynman and Fougere, 1984). Feynman and Ruzmaikin (2014) confirm that the extremes of the auroral distribution are consistent with a Gleissberg cycle, also reflected in the Sunspot Number but differing in phase. Riley (2012) has studied the problem from another perspective, estimating that a Carrington-like event has a 10 percent chance to occur in a decade, and implying a 100-yr periodicity in the low latitude records. Yermolaev et al. (2013) suggests that a Carrington-1859 storm is observed only once every ∼ 500 years. Figure 6 gives an overview of the temporal and latitudinal variation of the auroral observations recorded in our sample. Additional information is provided by Figure 7 with plots of the yearly number of auroras in our catalogue. Both figures reflect the population effects commented on in previous sections. However, our main interest lies in the long-term variation of solar activity, and for this purpose we divide our sample into the seven subperiods discussed in the following subsections. 4.1. The Maunder Minimum (1645-1715) Some decades after the discovery of the 11-yr cycle in sunspot records (Schwabe, 1844), Spörer (1889) and Maunder (1894) reported the existence of a period in the second half of the 17th century when sunspot activity was markedly reduced – the Maunder Minimum (hereafter, MM). Eighty years later, in a seminal paper, Eddy (1976) revived the topic, bringing new proofs and associating the episode with the Little Ice Age. Gleissberg, Dambolt and Schove (1979), Schröder (1988), and Schlamminger (1990) reported auroral observations which confirmed that the heliosphere during SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 14 Aurora Borealis Figure 6. Temporal and latitudinal variation of aurora borealis events visible during the last four centuries as reported in different archives (see Table 2) in (top) Europe and North Africa, (middle) North America, and (bottom) Asia. this period presented the 11-yr periodicity. The same behaviour was found by Nesme-Ribes and Ribes (1993) based on sunspot observations for 1660-1719, although they detected a strong north-south asymmetry in the sunspot locations (see also Vaquero, Nogales and Sánchez-Bajo, 2015). Other studies have discussed the 11-yr period during the MM (Beer, Tobias and Weis, 1998; Usoskin, Mursula and Kovaltsov, 2001). Recently, Vaquero et al. (2015) have proposed that the solar cycle was shorter during the MM (approximately 9 years). SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 15 Vázquez et al. Figure 7. Annual aurora borealis number. Auroral events occurred during this period when no sunspots were present on the solar disk (Leftus, 2000). Owens and Lockwood (2012) calculated that the CME rate during this episode was similar to that of the two recent solar minima. More recently, Zolotova and Ponyavin (2015) proposed on the basis of sunspot data that the MM seems to be an ordinary Gleissberg Minimum with a depressed 11-yr periodicity. This was contested however by Usoskin et al. (2015) arguing that solar activity during the MM was very low, although the exact level is still unclear. The presence of a strong red flash during two eclipses in 1706 and 1715 that occurred in the MM would require a substantially high solar magnetic field strength (Foukal and Eddy, 2007). Riley et al. (2015) used a magnetohydrodynamics model with the pertinent observational constraints, finding that the configuration of the corona at the recovery after the deep Maunder minimum was not typical of Schwabe or Gleissberg Minima. In an analysis of sunspot drawings, Casas, Vaquero and Vázquez (2006) found an anomaly in the solar rotation during the deep MM compared to determinations made before and after this episode. According to Sokoloff (2004), the transition to the deep minimum was abrupt, while the end was fairly gradual. However, Vaquero et al. (2011) revised the sunspot numbers around 1640 and found that the transition to the deep minimum was also gradual. For the period before the MM, Leftus (2000) found that there were peaks in the sunspot number in 1614, 1624, and 1639 (see Figure 4). A recent analysis of historical sunspot data by Vaquero et al. (2015) indicates SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 16 Aurora Borealis the existence of sunspot number peaks also in the deep minimum, namely in 1655–1657, possibly 1666, 1675, 1684, and 1705. In the auroral records of the present study (Figure 8), one can see relatively strong activity in the first decades of the 17th century, followed by the Maunder episode which presents a 20-year quasi-periodicity until its end, similar to the dominant cycle that Usoskin et al. (2001) found with clusters of sunspot occurrences. Figure 8. Annual aurora borealis numbers during the 17th century in our records. Europe and North America (dashed line) and the total of Europe, North America, and Asia (solid line). The lack of auroras visible at high and low latitudes in our data, does not allow any clear statement to be made about the consideration of the MM as a Grand Minimum or just a Gleissberg Minimum. In this context, the Asian data are essential, but, as will be seen below, they are still highly controversial with regard to their reliability. 4.2. The 18th century rise in solar activity (1715-1800) 4.2.1. The rise in solar activity After the MM, with the clear rise in solar activity, the works of Halley (1716) and Mairan (1733) marked the beginning of modern studies of auroras, in which there was a dramatic increase in the number of aurora reports. The middle panel of Figure 6 reflects the paucity of North American data during the 18th century, especially at high latitudes. As the settlement of the western regions progressed, there was a concomitant increase in the number of reports. The New England records are, however, relatively frequent over the SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 17 Vázquez et al. whole period. The bottom panel of that figure reflects how few data we were able to find for auroral observations in Asia. The strongest auroral event during this interval occurred on 18 January 1770 (Vázquez, Vaquero and Curto, 2006; Schröder, 2010). It was visible in North Africa. Also remarkable in the same year were the events of 16-18 September (Willis and Stephenson, 1996), observed in China and Japan and also visible at low latitudes in Europe (Vázquez and Vaquero, 2010). 4.2.2. The lost cycle A 15-yr cycle (Schwabe Cycle Number 4) took place at the end of this period of rise in solar activity (1790 approximately). Usoskin, Mursula and Kovaltsov (2001) proposed that in fact there existed two cycles in this period. Later, Usoskin et al. (2009) constructed butterfly diagrams for the period, finding that high-latitude sunspots were present in 1793, an indicator of the start of a new cycle. A recent Bayesian analysis of 10 Be records (Karoff et al., 2015) seems to support this hypothesis. Our records (Figure 9) show first the standard Cycle 4 and then an extended decay tail with a hint of a secondary maximum (see also the records of Krivský and Pejml, 1988, and Legrand and Simon, 1987). However, it is still unclear whether it was a new cycle or just a burst of activity (Zolotova and Ponyavin, 2011). Other factors could also have played a role in the decrease of observations. For example, the eruption of the Laki volcano in Iceland (1783–1784) emitted much dust into the European (Thordarson and Self, 2003) and South American (Trigo, Vaquero and Stothers, 2010) skies. 4.3. The Dalton Minimum (1790–1830) Named after John Dalton (1766–1844) who kept a meteorological journal for 57 years, including aurora borealis observations (Dalton, 1873), the Dalton Minimum in sunspot numbers also corresponded to a reduction in the number of auroras observed (Silverman, 1992; Broughton, 2002; Vaquero, Gallego and Garcia, 2003), as is clearly confirmed in our European data. (We remedied the lack of high-latitude records in the Fritz catalogue by including the Scandinavian observations of Tromholt and Rubenson.) The auroras observed in Barcelona in 1811 and 1812 are remarkable, and call for detailed confirmation. 4.4. The new 19th century rise in solar activity The 19th century period of a rise in solar activity is full of strong auroral events, including the famous Carrington aurora (1859, 28 August and 2 September), a paradigm of solar-terrestrial relationships (Kimpball, 1960; Cliver and Svalgaard, 2004; Silverman, 2006; Cliver and Dietrich, 2013). Some years later, there occurred the events of 24 January 1870 and 4 February 1872 (Silverman, 2008). Taken together, these represent the highest peak of auroral activity in our sample. Observations of high-latitude auroras were favoured by the organization of the first International Polar Year campaign (from 1881 to 1884), producing SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 18 Aurora Borealis Figure 9. Annual aurora borealis number at the end of the 18th century in Europe and North Africa. an accumulation of recorded high-latitude events that is visible in our plots. See Raspopov, Kuz’min, and Kharin (2007) and Barr and Lüdecke (2010) for descriptions of the various International Years that are related in some way with auroral observations. Uberoi (2011) reports an auroral observation of the 1872 event in Aden, at 12 degrees north geographic latitude8 . That this would imply a geomagnetic latitude of only 2 degrees raises severe doubts about the observation’s reliability. We have therefore excluded it from our records9. 4.5. The Gleissberg Minimum of solar activity (1880–1910) At around the turn of the 19th to the 20th century, the level of auroral activity again decreased, a fact that has already been remarked on in previous studies. The records of the geomagnetic index aa show a clear minimum at around 1901. Brown (1976) detected a minimum of the Gleissberg cycle at the end of Cycle 13, around 1902. Since Solar Cycle 14 (1902 – 1913), the geomagnetic activity has lagged behind the sunspot number, but before that date the lag seems to have been less notable (Love, 2011). Lockwood and Owens (2014) found that, during the minima of 8 Published in the Times of India with the remark ”The aurora was brilliant in the extreme”. 9 The same attitude was taken to an observation of the 1859 event at St George of Mina (now in Ghana) at 5 degrees north geographic latitude, contained in the Fritz catalogue. SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 19 Vázquez et al. 11-year Schwabe cycles at around 1879 and 1901, the average solar wind was exceptionally low, implying that the Earth remained within the streamer belt of slow solar wind flow for extended periods. Balthasar, Vázquez and Wöhl (1986) in analysing sunspot records detected a decline in the solar rotation in around 1902 between Schwabe Cycles 13 and 14, bringing to mind the recent proposal by Mouradian (2013) of the importance of this parameter for the long-term behaviour of the solar dynamo. 4.6. The 20th century Particularly remarkable is the marked drop in the quantity of data for the period 1960-1980 in all three samples. An explanation could be the changing way that theories about auroras were developed. For many centuries, auroras were mainly regarded as an atmospheric phenomenon, with reports by laymen being later incorporated into the meteorological record. There was a gradual growth of awareness of their connection with solar activity and geomagnetic perturbations (Maunder, 1905). Routine observations were abandoned, and interest in them shifted to geophysicists studying the physics of isolated events (Legrand and Simon, 1987). Odenwald (2007) studied the yearly number of aurora reports appearing in newspapers. He found a sharp reduction after 1960, probably a result of the coming of the “space age” and the popularization of television. Nonetheless, this effect was partially compensated by the various auroral observation campaigns organized in the framework of the International Geophysical Year (IGY). These campaigns mostly affected the period 1957–1960, and they had a certain clear bias towards high-latitude sites10 . In the 1990s the diffusion of digital images over the Internet led to a new increase in observations. Moreover, all-sky imaging programs were started, such as those corresponding the GAIA and THEMIS consortia (Mende et al., 2008). In order to allow a certain normalization with older data, we have taken especial care to select only strong events so as to make the digital images comparable with the photographic and visual observations of the past. The start of this period is marked by the strong auroral events of 25 September 1909 (Silverman, 1995) and 14-15 May 1921 (Silverman and Cliver, 2001). A later outstanding event is that of 25 January 1938 which was widely reported in the press (Barlow, 1938). Also remarkable is the strong activity of Cycle 19, peaking as the maximum of a long-term cycle in 1957, just at the start of the aforementioned IGY campaigns, The CME of 4 August 1972 also merits particular comment because it had the appropriate parameters for it to become a superstorm similar to that of the Carrington 1859 event (see Gonzalez et al., 2011, for references), but in auroral records of our catalogue it was only visible as a moderate event. The polarity of the IMF was directed northwards, thus avoiding a massive input of particles towards low-latitude sites. This is a good illustration of why many parameters must combine to produce a super-event. 10 These data are stored at the World Scientific Center for Aurora, Japan. SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 20 Aurora Borealis The aurora of 13 March 1989 (Shirochkov et al., 2015) marked an inflection point in public interest in space weather studies and their technological influences. The well-known blackout of Quebec and nearby areas has been studied in detail (Boteler, 2001; Hapgood, 2011) and popularised in the press. More recently, in Schwabe Cycle 23, there occurred the so-called “Halloween” period of strong solar activity, with two phases of activity in October and November of 2003 (Kane, 2005). The first phase was concentrated in the days between 19 October and 12 November. Spacecraft as distant as Ulysses, Cassini and Voyager 2, were able to detect the enhancements of solar particles, corresponding to distinct CMEs, at different heliocentric distances (Burlaga et al., 2005; Lario et al., 2005). In the second phase, an event on 20 November was associated with a large geomagnetic storm (Karavaev et al., 2009) produced by a halo CME. What made this event special, however, was the high IMF and its strong southward component (Gopalswamy et al., 2005; Srivastava et al., 2009). The duration of the solar wind–magnetosphere interaction was very long – 13 hours (Srivastava, 2005). The corresponding aurora was observed at very low latitudes (Vázquez and Vaquero, 2010). For mid-latitude observations in Asia see Mikhalev et al. (2004). 4.7. The recent minimum (2006–2009) The last minimum of solar activity, between Cycles 23 and 24, has attracted the attention of solar astronomers due to its extended duration and the low values of solar irradiance measured during this interval (Fröhlich, 2013) . According to McCracken and Beer (2014), the measured levels of cosmic rays are incompatible with the existence of a Grand Minimum in the present times. Rather, they reflect a minimum of the Gleissberg cycle. Echer, Tsurutani and Gonzalez (2011) showed that the low levels of solar and geomagnetic activity are similar to the previous Gleissberg minimum at the beginning of the 20th century. The present Cycle 24 is characterized by a small amplitude, typical of the extended phase of a Gleissberg Minimum. However, strong auroral events could yet occur in this cycle. Indeed, the weak sunspot activity for Cycle 24 is not seen in the CME occurrence of the same period (Jian, Russell and Luhmann, 2011). Gibson et al. (2011) remark that during this episode the Earth was periodically impacted by high-speed streams originating from long-lived coronal holes, which suggests an unusual configuration of the large-scale solar magnetic field, at least compared with the previous cycle. Based on an analysis of nitrate records in ice cores, Barnard et al. (2012) suggest that a return to low levels of solar activity will indeed lead to a decrease in the auroral frequency, but also to an increase in the average fluence per auroral event. This calls to mind the sporadic low-latitude auroras occurring in relatively quiet periods. Helioseismic measurements with different ground- and space-based instruments (Broomhall et al., 2009; Salabert et al., 2011; Jain, Tripathy and Hill, 2011) indicate changes in the frequencies of acoustic p-modes during the extended minimum, interpreted as changes in the magnetic field deep in the convection zone, including a possible role for a deep-seated relic magnetic field in the solar interior. SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 21 Vázquez et al. Auroral records of our catalogue show some features typical of a Gleissberg Minimum. However, it would be premature to reach any conclusion in this respect given the duration of these episodes. One needs to wait and continue observing, keeping in mind that the geomagnetic effects of solar activity usually lag the sunspot number. In summary, our sample can be divided into four long-term Gleissberg cycles. We cannot conclude whether or not the MM corresponds to one of them due to the scarcity of low-latitude auroras in the first part of the 17th century. Figure 10 plots the values of the annual minimum latitudes for the auroral events for Europe and North Africa regions with a better observational coverage. Figure 10. Annual values of the minimum geographic latitudes of auroral events for Europe and North Africa (solid lines) and North America (dashed lines). 5. The Geomagnetic Latitude Since the frequency of auroras is related to distance from the magnetic pole, it is more appropriate to plot the observations vs. magnetic latitude. 5.1. Model of the geomagnetic field We computed the temporal evolution of the geomagnetic latitude for every observing location during the entire period of our study. It is common to define within the main geomagnetic field the geomagnetic latitude φ according to the SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 22 Aurora Borealis expression tan φ = (tan I)/2 (see Buforn, Pro, and Udı́as, 2012). We obtained the magnetic inclination (I) from the global geomagnetic model gufm1 (Jackson, Jonkers, and Walker, 2000). This model is based on observational data of the intensity of the geomagnetic field during the last centuries. The validity of this model for the last four centuries has been verified by Pavón-Carrasco et al. (2014) by comparison with archaeomagnetic data. As an example, Figure 11 represents the pairs of geomagnetic and geographic latitudes for all the available data. In the plots, we have differentiated the results calculated with the well-known IGRF (International Geomagnetic Reference Field) model, valid for the period from 1900 to the present (De Santis, 2007). Figure 11. Plots of geographic vs. geomagnetic latitudes for all the available data, subdivided into the three subsamples. Black asterisks: gufm1 model (1600-1989). Red asterisks: the IGRF model (1989-2015). SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 23 Vázquez et al. 5.2. Latitude variation Figure 12 shows the results of the geomagnetic latitude of auroral occurrence for Europe, North America, and Asia. One observes the Dalton Minimum between the two high-activity episodes. However, the low geomagnetic latitudes during the 18th century are mainly covered by Asian data. Two episodes with highlatitude auroras occur in 1820 and 1840 close to the minimum phase of the corresponding solar cycles. An unusual aurora was visible close to the geomagnetic North Pole (Fort Conger) on 17 November 1882. These observations were made by the expedition commanded by A.W. Greeley from July 1882 to August 1883 in the framework of the activities of the First Polar Year (Taylor, 1981). In this context, Singh et al. (2012) have recently studied the characteristics of high-latitude storms above the classical auroral oval. Figure 12. Temporal and geomagnetic latitude distribution of the auroral event observations: (black diamonds) Europe and North Africa; (red squares) North America; (red triangles) Asia. Figure 13 shows the histograms of the geomagnetic latitudes for the three continental areas. There stands out the major contribution of the otherwise sparse Asian data to the low geomagnetic latitudes. These observations mainly correspond to a group of exceptionally strong aurora events occurring around the maximum of one of the strongest cycles of the 19th century, 1872 (see Figure 8). We repeated the calculation of the cumulative number of auroral events, but now for the geomagnetic latitudes. The results (Figure 14) show the behaviour to be similar for the two continents of Europe plus North Africa and North America, although there are relatively few high geomagnetic latitude observations in the North American sample (Canada and Alaska). Liritzis and Petropoulos (1987) SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 24 Aurora Borealis Figure 13. Histogram of the geomagnetic latitudes. (Top) Europe and North Africa; (middle) North America; (bottom) Asia. already noted that there is a marked change at a geomagnetic latitude of 57 – 58 degrees. Although there are too few Asian data to be significant, they are included for the sake of comparison, especially in the low-latitude range. As with the geographic latitudes, we fitted parabolas to the three subsamples. For Europe, the results were practically identical to those for the geographic latitudes. They differed slightly for North America. We excluded the Asian data due to the relatively smaller number of observations. log N = (−4.6 ± 0.7) + (0.23 ± 0.03)φmag − (0.0013 ± 0.0003)φ2mag Europe (5) log N = (−3.1 ± 1.1) + (0.16 ± 0.02)φmag − (0.0007 ± 0.0002)φ2mag N orthAmerica (6) where φmag is the geomagnetic latitude. 5.3. The Gleissberg cycles Schove (1955) was probably the first to date the extremes of the last Gleissberg cycles, confirming the existence of a 78-yr periodicity at least since 200 BCE. Feynman and Silverman (1980), using only records from Sweden and New England, also detected low values of auroral activity during the different Gleissberg Minima. Garcia and Mouradian (1998) calculated the maxima and minima of Gleissberg cycles after 1750 using sunspot records, and following the same method as Gleissberg (1960). They were able to study a complete Gleissberg SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 25 Vázquez et al. Figure 14. Cumulative values of the number of auroras below a certain minimum geomagnetic latitude. (♦) European and N. African sample; (∗) North American sample; (△) Asian data. Left panel: normal scale. Right panel: logarithmic scale. cycle (from the Dalton Minimum to the 20th century Minimum), the decay of the previous cycle, and the peak of the present cycle with the maximum at around 1957. Figure 15 shows the annual variation of the minimum latitude reached by auroral events. The Gleissberg cycle also presents a double peak. The dates of the secondary maxima have been studied by Hoyt and Schatten (1997). Gonzalez et al. (2011) suggested that extreme events can be expected to occur at the rate of about one per century, with a tendency to appear close to the secondary maximum in the descending phase of the Gleissberg cycle. Table 7 summarizes the main parameters of these cycles based on our records. We could also have included a Gleissberg Cycle number 0, elapsing from the Spörer Minimum (year 1570) to the MM, but the auroral data are very limited both spatially and temporally. In principle, one might explain the 1848-1872 interval as the maximum of an approximately 200-year cycle (so-called Suess cycle) of auroral activity (Suess, 1980). Silverman (1995) set a minimum geomagnetic latitude of 15 degrees at which auroras can be observed. This is surpassed by the observations during this supermaximum. Ogurtsov et al. (2002) studied two proxies of solar activity – sunspot number and cosmogenic isotopes – and found that the Gleissberg cycle has a frequency band with a double structure consisting of periods of 50–80 yr and 90–140 yr, whereas the Suess (or de Vries) cycle only presents one period of approximately 210 yr. SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 26 Aurora Borealis Figure 15. Annual variation of the minimum geomagnetic latitude of auroral events. Solid line, absolute minimum values for North America and Europe plus North Africa. Triangles, values for Asia. Table 7. Overall characteristics of the four Gleissberg cycles (GC) in our sample. The dates are taken from Gonzalez et al (2011). SMAX stands for secondary maximum and GMLmin for the minimum value of the geomagnetic latitude during the corresponding period. SNMAx indicates the maximum value of the annual sunspot number, and N is the number of auroras in the corresponding Gleissberg cycle for Europe and North Africa. GC Start Maximum I 1700 1770 II 1810 1839 III 1910 IV 2009 SMAX End GMLmin (time) SNMax (time) N 1809 15 154.4 (1778) 8516 1870 1909 8 (1859) 139.0 (1870) 13 765 1958 1980 2009 18 190.2 (1957) 15 085 – – 34 .. Figure 16 displays variations of the cumulative numbers of auroras as a function of geographic and geomagnetic latitude of three Gleissberg cycles. Due to the different amounts of data available in each cycle, we have normalized the number N of auroras to the maximum value of each cycle. 6. Conclusions We have presented here the first analysis of a catalogue that aims to summarize most of the available visual aurora borealis observations from 1600 to the present day. To this end, latitudes were assigned to more than 160 000 auroral observations. For the analysis, we divided the Northern Hemisphere into three large SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 27 Vázquez et al. Figure 16. Global Variation with the geographic (upper plot) and geomagnetic (bottom plot) latitudes of the cumulative number of auroras for the Gleissberg Cycles I (solid lines), II (dashed lines), and III (dashed-dotted lines). Data: Europe and North Africa. continental areas corresponding to Europe (plus North Africa), North America, and Asia. The sample had numerous spatial and temporal gaps. This was particularly evident in the North American data due to the progressive European occupation of large areas beyond the original New England states. There are some evident gaps in our catalogue. We have commented on them throughout this communication. The gaps correspond mainly to high and low latitudes in North America for the 17th and 18th centuries, and to many practically uninhabited places in Asia. Trying to fill these gaps would therefore be unlikely, apart from finding and adding some isolated data. In this respect, one can say in synthesis that the spatial and temporal distribution of auroral observation data is affected at least as much by the population effect as by the purely geomagnetic effect. We re-applied a method developed in Vázquez, Vaquero and Gallego (2014) to separate the contribution of the different solar sources of auroral events. It is based on the different slopes of the cumulative numbers of auroral events per latitude bin. The low-latitude segment mainly corresponded to strong CMEs taking place around the solar cycle maxima. The mid-latitude segment corresponded to standard CMEs, and the high-latitude segment to high-speed streams of solar wind originating from coronal holes. The limit between these last two sources lies in a narrow belt between 64 and 67 degrees geomagnetic latitude. One must bear in mind that the geoeffectiveness of such transitory solar events depends SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 28 Aurora Borealis critically on the level of the IMF and its orientation with respect to the Earth’s magnetosphere. The three subsamples of our catalogue presented the same trend in the cumulative number of auroral events vs. geomagnetic latitude. Only a few events deviated from this behaviour. They corresponded to Gleissberg cycle maxima. As indicated above, the spatial distribution of the available data is clearly determined by the populations living at high-latitude sites. These populations were clearly greater in Europe than in North America. The same may apply to the low-latitude sites in the two continents. The result may have been to mask the expected better correlation of the auroral parameters with the geomagnetic than with the geographic latitude. Apart from the population effect, the occurrence of specific auroral events of great strength is driven by chance (see the different cases discussed in Section 4), but with a notable dependence on the amplitude of the corresponding 11-yr cycle. However, the long-term behaviour of the auroral activity is clearly driven by a deterministic process (whether chaotic or not), and particularly by the phase of the Gleissberg cycle. In other words, there are some short extreme events inserted into a slowly varying background, and these events are attributable to high-speed streams from coronal holes. The geomagnetic component due to the slow solar wind (see Legrand and Simon, 1987, for a classification) is not reflected in our sample, because any auroras it might produce are very faint. The observations of low-latitude auroras in Asia are very puzzling. They can be divided into two groups. First , there are the MM observations at relatively low geomagnetic latitudes (Willis and Stephenson, 2000). Zhang (1985) noted that 23 times more auroral observations were reported in Korea during the 15071749 period than in China. The author proposed that they were Stable Auroral Red Arcs, visible at the edge of the auroral oval, although Kozyra, Nagy and Slater (1997) argue to the contrary. Nonetheless, by itself, this assumption cannot explain the southward extension of the Korean observations, especially during the MM. More recently, Willis and Davis (2015) have presented new evidence for recurrent auroral activity in 1625 and 1626, a time prior to the MM, evidence that is fully compatible with other activity indicators (see Figure 4). Whatever the case, the very low latitude observations in India and Arabia for the 1872 super-event are well documented. A possible factor to consider is the geomagnetic model we have been using because it is at the edge of its range of reliability for the 17th century. Even so, any errors that result cannot be so large. Willis and Stephenson (2000) give a range of geomagnetic latitudes for Asia of 25-38 degrees, similar to our determinations. In this regard, those same authors (Willis and Stephenson, 2002) report that the Korean observations during the 17th century were seen in a southerly direction. Oguti and Egeland (1995) commented that, given its low geomagnetic latitude, Korea should not have seen auroral activity in the last 1000 years. Second , there are observations at very low geomagnetic latitudes during the 19th century super-events, visible as a separate group in the overall histogram. In this case, however, the observations seem to be very reliable. The aim with this first communication using the whole catalogue has been to present the long-term characteristics of the last Gleissberg cycles – really crucial SOLA: VVGTP2015v8.tex; 6 January 2016; 14:42; p. 29 Vázquez et al. to understanding the space climate. It will be followed by others analysing in detail the spatial and temporal oscillatory patterns, and the potential of such analyses to contribute to the reconstruction of past heliospheric activity. Finally, we would like to invite readers to contact the authors in a case that they have information on auroral observations at sites and/or at times not included in this paper. The complete catalogue is still in progress and will be stored in a World Data Center at the end of the project, including also data of aurora australis. Colleagues interested in this preliminary version of our catalogue are invited to contact the lead author. Acknowledgements The authors wish to express their gratitude to Sam Silverman who undertook the immense task of collecting thousands of auroral reports around the world and making them available to the scientific community. Some well-known auroral catalogues (Fritz, Angot) used for this study are from Jack Eddy’s Compilation of Auroral Catalogues and were obtained from the Research Data Archive (RDA), which is maintained by the Computational and Information Systems Laboratory (CISL) at the National Center for Atmospheric Research (NCAR). NCAR is sponsored by the National Science Foundation (NSF). The original data are available from the RDA (dss.ucar.edu) with dataset number ds836.0. 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