Meteor showers in review
Introduction
A working list of meteor showers is maintained at the International Astronomical Union's Meteor Data Center (Jopek and Kanuchova, in this issue). At the time of writing, 701 proposed showers are catalogued, of which 112 meteor showers are certain to exist. Of those, only 32 have known parent bodies. Efforts are underway to identify more (e.g., Kholshevnikov et al., 2016; Micheli et al., 2016).
It is important to better document these showers, and search for more, because meteor showers provide a unique record of past comet activity. They document the meteoroid stream dynamics that will result ultimately in replenishing the zodiacal dust cloud. For reviews, see Jenniskens, 2006, Jenniskens, 2015a, Jenniskens, 2016b) and Williams and Jopek (2014).
Fundamental questions remain. Comet disruptions are the main mass-loss mechanism of comets contributing to meteoroid streams and the zodiacal cloud (Jenniskens, 2008a, Jenniskens, 2008b, Nesvorny et al., 2010, Nesvorny et al., 2011, Yang and Ishiguro, 2015, Ye et al., 2015b), but what are the velocity dispersions that result from that? On what timescale do comets disrupt? When did individual streams form? What are the long-term dynamical and physical processes that form the zodiacal cloud? Even the collisional lifetime of meteoroids is uncertain (Jenniskens et al., 2016c).
To find answers to these questions, meteoroid streams at Earth need to be charted and modeled to explain all observed shower features. With each triangulated meteor that provides entry speed and approach direction (the radiant), a new dot is placed on a map that gradually brings out the meteor showers. The showers are best recognized after removing the Earth's motion, by subtracting the solar longitude from the ecliptic longitude of the radiant to calculate sun-centered ecliptic coordinates (Fig. 1).
It is also important to map these showers at different particle sizes. There are striking differences between maps derived from radar and optical observations, which provide clues to the forces and disintegration mechanisms at work. Water vapor drag during ejection and the Poynting-Robertson drag, for example, are particle size dependent.
Since the last Meteoroids meeting in Poznan in 2013, a large number of newly detected meteor showers have been reported. Several exceptional meteor showers have occurred. Progress has been made in understanding meteoroid stream evolution and the dynamics of the sporadic background. A few more parent bodies have been identified. Many questions remain. This review will highlight some of the advances, present some new results regarding long-lasting showers, and reflect on outstanding problems.
Section snippets
Methods: the meteor shower sky at different meteoroid sizes
At peak visual magnitudes brighter than −12, roughly corresponding to masses above ~10 kg and diameters above 20 cm, meteors are mostly due to the impact of asteroidal matter (Borovicka et al., 2015). Less than 100 of such fireball trajectories have been published. In addition, satellite-derived data has been released that pertain to meter-class impacts (Brown et al., 2016). Based on some orbit pairings, newly discovered meteoroid streams have been proposed and linked to near-Earth asteroids,
Results: the newly identified wandering showers
Fig. 1 illustrates the sad state of affairs ten years ago, when many proposed meteor showers were based only on alignments of a handful of meteoroid orbits (e.g., Jenniskens, 2006; Campbell-Brown and Jones, 2006). That has changed dramatically as a result of the new video-based and radar-based orbit surveys.
When I plotted up the 820,000 video-generated orbits from the main video surveys in sun-centered ecliptic coordinates, in 5° intervals of solar longitude (e.g., Fig. 3), the resulting movie
Results: Meteor shower outbursts
The meteoroid orbit surveys also detect meteor outbursts. In contrast to the evolved streams, these are meteor showers, or shower components, from streams so little evolved (and spatially or temporally confined) that they do not return annually. They often represent dust released only one or a few orbits back in time, or are due to older dust trapped in mean-motion resonances. Some meteor outbursts can be predicted. Many such predictions are listed in Jenniskens (2006). Recent predictions were
Discussion of meteoroid stream dynamics
Answers to some of the fundamental questions that were posed in the beginning of this review were obtained from a systematic analysis of CMOR and CAMS data. By searching for meteoroid streams in the orbit of known dormant comets, Ye et al., 2016a, Ye et al., 2016b) determined that 2.0+/−1.7% of the near Earth Object population is composed of dormant comets that in recent years created a detectable meteoroid stream. This suggests that the dormancy rate among active comets is at least 10−5 per
Showers on other planets
The close encounter of comet C/2013 A1 (Siding Spring) to Mars on October 19, 2014 (Vaubaillon et al., 2014; Ye et al., 2014; Ye and Hui, 2014; Moorhead et al., 2014) resulted in the detection of a metal atom layer high in the Martian atmosphere causing strong airglow in the metal ion line of Mg+(Schneider et al., 2015). The airglow emission was detected in part because such glow is absent in the upper atmosphere of Mars in normal years. Sadly, efforts to image meteor showers directly from
Conclusions and future work
Much work is ahead to explain the observed features of meteoroid streams. The status of meteoroid stream modeling is still in its infancy. Many models fail to explain even the most basic features of the observed meteor showers. Dynamical models of the zodiacal cloud also still need to address fundamental issues, such as the short semi-major axis of radar-detected apex-source meteors and the nature of the toroidal complex.
The future for data collection and monitoring of meteor showers is looking
Acknowledgments
I thank the referees for their constructive comments. I am also grateful for the large international team of observers that over the years have build and operated the CAMS camera network to provide the data presented here. This work is supported by the NASA NEOO Program (NNX14-AR92G).
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Deep machine learning for meteor monitoring: Advances with transfer learning and gradient-weighted class activation mapping
2023, Planetary and Space ScienceModeling the meteoroid streams of comet C/1861 G1 (Thatcher), Lyrids
2021, Planetary and Space ScienceCitation Excerpt :It has been performed by many authors using various models, e.g. (Abedin et al., 2015, 2017, 2018; Babadzhanov et al., 2015a,b; Babadzhanov et al., 2017; Egal et al., 2019; Ishiguro et al., 2015; Jopek and Williams, 2013 ; Kornoš et al., 2015; Kováčová et al., 2020;Matlovič et al., 2020; Lyytinen and Jenniskens, 2003; Rudawska and Vaubaillon, 2015; Rudawska et al., 2016; Šegon et al., 2014a,b, 2017). We remind also the review articles on meteor showers, which were published by Jenniskens (2006, 2017), and a review chapter by Vaubaillon et al. (2019) on modeling the meteoroid streams and search for their parent bodies recently published in the book “Meteoroids: Sources of Meteors on Earth and Beyond” (Ryabova et al., 2019). The relationship of the comet C/1861 G1 to the April Lyrid meteoroid stream was proposed by E. Weiss as early as 1867 (Galle, 1867; Besley, 1899), and since then has been confirmed by many authors e.g. (Denning, 1878; Kirkwood, 1881; Hindley, 1969; Katasev and Kulikova, 1981; Lindblad and Porubcan, 1991; Porubčan and Kornoš, 2008).
Modeling the meteoroid streams of comets C/1894 G1 (Gale) and C/1936 O1 (Kaho-Kozik-Lis)
2021, Planetary and Space ScienceCitation Excerpt :A search for new parent bodies is, due to the continuous massive increase in reporting new meteor showers (Jenniskens et al., 2020), highly desirable and is being performed by many authors using various models, e.g. (Abedin et al., 2015, 2017, 2018; Babadzhanov et al., 2015a, b; Babadzhanov et al., 2017; Egal et al., 2019; Ishiguro et al., 2015; Jopek and Williams, 2013; Babadzhanov et al., 2017; Kornoš et al., 2015; Kováčová et al., 2020; Matlovič et al., 2020; Lyytinen and Jenniskens, 2003; Rudawska and Vaubaillon, 2015; Rudawska et al., 2016; Šegon et al., 2014a, b, 2017). Review articles on meteor showers were published by Jenniskens (2006, 2017), and a review chapter by Vaubaillon et al. (2019) on modeling the meteoroid streams and search for their parent bodies was, recently, published in the book “Meteoroids: Sources of Meteors on Earth and Beyond” (Ryabova et al., 2019). In this paper, we present our stream modeling of another two periodic comets, which has not yet been examined for these purposes: C/1894 G1 (Gale) and C/1936 O1 (Kaho-Kozik-Lis).
Relationship between radar cross section and optical magnitude based on radar and optical simultaneous observations of faint meteors
2020, Planetary and Space ScienceLuminosity function of faint sporadic meteors measured with a wide-field CMOS mosaic camera Tomo-e PM
2019, Planetary and Space ScienceMeteor showers from active asteroids and dormant comets in near-Earth space: A review
2018, Planetary and Space ScienceCitation Excerpt :A lot of exciting advancements have been made since the review of Jenniskens (2008). Four large video surveys have since been built or greatly expanded, providing almost 1 million new video meteoroid orbits compared to less than 80,000 ten years ago (Jenniskens, 2017). Video networks specifically aiming at meteorite recovery have been built or greatly expanded (Bland et al., 2012; Madiedo et al., 2014b; Colas et al., 2016), enhancing our chances of recovering meteorites from slow showers such as the Geminids and the Taurids (Madiedo et al., 2013, 2014a).