IMG_3445%20large-X3

Brilliant composite image of 110 Perseids captured, using a Canon 5D at ISO1600, 20 seconds exposures and a Canon 50mm f/1.4 lens (set at f/2.2). Location: Balsam Provincial Park on the Kawartha Lakes. Image credit: Pierre Martin, Ottawa, Canada.

An interesting Perseids return occurred in 2015, leading up to the 2016 appearance of the stream when a significantly increased activity is expected due to the presence of multiple dust trails from e.g. 1076 and 1862. On 13 August 2015 increased activity has been observed over North America coinciding with the traditional Perseid maximum (ZHR 120 – 140 instead of 100). Another short peak was observed from Europe around 21h UT. It is possible that this was just the end of the increased activity over Asia around 18h39m UT which had been predicted by Jérémie Vaubaillon or otherwise, an earlier than expected appearance of the filament which was predicted for 12 August 2015 around 23h UT (Jenniskens, 2006). Unfortunately this could be confirmed neither by radio, nor by CAMS observations.

1       Introduction

In May and June 2015 I made a global analysis of the 2015 Lyrids (Miskotte, 2015). I used the data which had been submitted by many observers to the IMO. This was the first time that I made an analyses based on data not provided by Dutch Meteor Society observers. The result was rather satisfactory and I decided to repeat this work with the Perseid data for this year. I was aware that this would be a much bigger job to do than in the case of the Lyrids.

However, there will never be any real global analyses in the sense of a continuous 24/24 and 7/7 monitoring of the Perseids. There are always interruptions in the dataset, about 4 hours due to the Atlantic Ocean between Europe and America and another 8–10 hours due to the Pacific Ocean between America and Asia. Looking at the activity profile “on-the-fly” on the IMO website, we can see that this graph is based on 40000 reported Perseids[1]. After the appearance of eRadiant 2015-3 I started to collect the data. The results are presented in this article.

2       The observational data

The data has been collected observer by observer selecting and sorting the data in function of the limiting magnitude. This data can be consulted via a webpage, sorted on the date[2]. A hyperlink on the name of the observer allows accessing the observing report. Observations made with a limiting magnitude of less than +5.9 were ignored. These reports could be easily copied and pasted into an Excel spreadsheet and saved with the date and IMO code as filename. For instance the observations of Michel Vandeputte of 11-12 August were saved as 2015_08_11_12_VANMC. This way all the data could be stored in a chronologic way.

In the next step, the hourly rate data from these observations were copied into the spreadsheet for the ZHR computation. The magnitude distributions were stored separately with the average limiting magnitude in order to calculate the population index r. In total the data for about 27000 Perseids was copied into the ZHR spreadsheet, or 65% of the total number of the reported Perseids. The remaining 13000 Perseids were ignored due to too poor limiting magnitudes.

3       Determining the Cp

To obtain a reliable ZHR value we need some information about each individual observer as the number of meteors seen depends on the perception of each individual. This value is known as the perception coefficient Cp. This is a value which qualifies the alertness of the observer. To obtain these perception coefficients we compare the observed sporadic hourly rate for August, observed between 22h and 2h local time with the assumed sporadic hourly rate of 10 with a limiting magnitude of +6.5, valid for the standard observer. The observed hourly rates are corrected relative to the +6.5 limiting magnitude reference.

To obtain a reliable estimate of the coefficient Cp for an observer at least 15 observing periods should be used. Unfortunately many observers didn’t provide so many different observing periods. For all observers with at least 3 different observing periods, the sporadic hourly rate data was stored in the Cp spreadsheet in order to add past or future observational data for these observers in order to obtain a reliable Cp coefficient for them. This data can be used in future analyses with data from these observers. A new Cp determination will be done after 5 to 10 years for each observer as this may vary over a long period of time. From my own experience I know that my Cp coefficient was 1.4 in the 1980s, but remained constant at 1.2 in later years. In southern France this parameter is about 1.3 in my case.

This, together with the determination of the population index r and the ZHR calculation resulted in the conclusion that according to me we can distinguish four groups of observers:

Beginning observers

Sub group 1: Observers with both moderate magnitude estimates and moderate hourly counts, due to a lack of experience, fatigue or lack of concentration. This results in a large fluctuation in their ZHR-values, extreme r-values, extreme limiting magnitudes (too low or too high) and sometimes very deviant Cp values.

Subgroup 2: Observers with moderate magnitude estimates but with reliable hourly counts and a good concentration. These are suitable for both Cp and ZHR calculations.

Experienced observers

Subgroup 1: Observers who record significant numbers of major shower meteors, but taking also the minor meteor showers into account too. Taking into account more radiants for the shower classification, smaller numbers of meteors remain as sporadics, resulting in a too low Cp value and hence too high ZHRs. In general this group has very good magnitude distributions and counts for the major shower. This is good to calculate the ZHR, less favorable for the Cp. An obvious solution is to add the minor shower counts with the sporadics in order to have Cp values compatible with those for other observers. For a number of observers this was effectively applied and the resulting ZHRs were more in line with the average for all observers active at the same time.

Subgroup 2: Observers who distinguish only the major shower meteors and sporadics. This results in reliable Cp values and the ZHRs from this data compare very well. The data from these observers is most suitable for the calculation of the population index r, the perception coefficient Cp and the ZHRs.

Finally I obtained a long list of observers (Table 1), with their IMO code, their Cp value, the number of periods used to obtain the Cp value, the year and the country. In the ZHR spreadsheet only Cp values were applied if this perception coefficient was obtained from at least 15 observing periods. For observers with less than 15 periods available, a Cp = 1.0 has been assumed as best estimate, unless the number of periods could be extended with data from 2014. Classifying the observers within the four groups described above, led to the following conclusion:

Use only the most relevant data of observers for the calculation of the population index r and the ZHRs.

This means that for some observers in some cases only the counts have been selected for ZHR calculations and in some other cases only the magnitude distributions to calculate the population index.


Table 1 – The list of observers whose Perseid observations have been used in this analyses together with their perception coefficient Cp. (*) identifies the calculated Cp values while all other were assumed to be 1.0. (†) indicates that the calculated Cp value was replaced by 1.0 as the application of the calculated value resulted in systematic too high or too low ZHRs.

NameIMO codeCpYear(s)IntervalsCountry
Marina ArnautARNMA0.8*201523Serbia
Atieh Sadat AfzaliATIAF1.020151Iran
Ioan Alexandru BabiucBABIO1.020154Romania
Orlando Benítez SánchezBENOR1.1*201515Spain
Felix BettonvilBETFE1.020157Croatia
Martina BirosikovaBIRMA1.02014/201511Slovakia
Maja BjelanovicBJEMA0.6*201512Serbia
Ilija BogdanovicBOGIL0.7*201517Serbia
Ljubomir BrankovicBRALJ1.0*201536Serbia
Andreas BuchmannBUCAN1.1*20154Switzerland
Ivana BurmazovicBURIV0.9*201513Serbia
David BuzgoBUZDA1.7*201521Serbia
Matej CiganjCIGMA1.020152Croatia
Ilie CosovanuCOSIL1.020152Romania
Martin DanaDANMA4.4†20155Slovakia
Anja DjajicDJAAN1.020153Serbia
Audrius DubietisDUBAU1.3*2014/201515Lithuania
Jaroslaw DygosDYGJA0.6*201511Poland
Reza EnsandoostENSRE1.020151Iran
Frank EnzleinENZFR0.8*20158Germany
Branislav FaktorFAKBR1.020152Slovakia
Martin FuchsFUCMA1.6†20154Czech Republic
Fujie TangFUJTA1.020152China
Gang LiGANLI1.020153China
Kalina GeorgievaGEOKA1.020151Bulgaria
George GlibaGLIGE0.7*20156U.S.
Mitja GovediGOVMI1.0*201514Slovakia
Ljubica GrasicGRALJ1.020158Serbia
Shy HalatziHALSH1.5*20159Israel
Amir HasanzadehHASAM1.020154Iran
Robin HegenbarthHEGRO1.020153Germany
Hojatola Hekmat’zadeHEKHO1.020154Iran
Davood HemmatiHEMDA1.020151Iran
Carl HergenrotherHERCA1.2*20155U.S.
Lukas HrehaHRELU1.020152Slovakia
Milos IgrutinovicIGRMI1.020152Serbia
Stefan JackovicJACST1.0*201518Slovakia
Jovana JankovJANJO1.9*2014/201520Serbia
Jixia LiJIXLI2.5*20158China
Paul JonesJONPA1.020157U.S.
Jovana KabicKABJO1.020153Serbia
Javor KacKACJA0.8*201415Slovakia
Javor KacKACJA1.0*201536U.S.
Alzbeta KadlecovaKADAL1.4*20159Czech Republic
Georgiena KalevaKALGE2.6*20157Bulgaria
Václav Kala?KALVA1.4*20155Czech Republic
Jozef KarlikKARJO1.020158Slovakia
Jakub KazimirKAZJA1.020152Slovakia
Matus KepicKEPMA1.020152Slovakia
Zdenek KomarekKOMZD0.5*201512Slovakia
Dusanka KovacevicKOVDU1.020154Serbia
Roman KovalykKOVRO1.020151Italy
Jiří KubánekKUBJI1.020152Czech Republic
Peter van LeuterenLEUPE1.0200820The Netherlands
Anna LevinaLEVAN0.7*2014/201511Israel
Robert LunsfordLUNRO1.0*201516U.S.
Boris MajicMAJBO1.6*201513Serbia
Milica MaleticMALMI1.0*201525Serbia
Ivana MarjanovicMARIV0.9*201510Serbia
Pierre MartinMARPI1.0*2007?Canada
Mikhail MaslovMASMI1.020153Russia
naimeh masoumiMASNA1.020152Iran
Istvan MatisMATIS1.020158Romania
Alastair McBeathMCBAL1.020154England
Bruce McCurdyMCCBR1.020156Canada
Saeed MehdizadMEHSA1.020152Iran
Fabrizio MelandriMELFA1.020156Italy
Frederic MerlinMERFR1.020159France
Roman MihalovMIHRO1.020152Slovakia
Koen MiskotteMISKO1.3*201562France
Koen MiskotteMISKO1.2*1995?The Netherlands
Sirko MolauMOLSI0.6*201514Germany
Alexsandr MorozovMORAL1.020151Russia
Konstantin MorozovMORKO1.020152Belorussia
Yulia MoralyiskaMORYU1.020152Bulgaria
Maryam Mostafavi AlhosseiniMOSMA1.020152Iran
Maciek MyszkiewiczMYSMA1.0201511Poland
Sven NätherNÄTSV1.020152Germany
Sasa NedeljkovicNEDSA1.020153Serbia
Jos NijlandNIJJO1.620154The Netherlands
Adam NikicNIKAD1.0201512Serbia
Mohammad NilforoushanNILMO1.020155Iran
Vladimir ObradovicOBRVL1.1*201512Serbia
Liliya PachalovaPACLI1.020152Bulgaria
Parya AbouhamzehPARAB1.020152Iran
Igor ParnahajPARIG1.020152Slovakia
Debora PavelaPAVDE1.0201512Serbia
Dunja PavlovicPAVDU1.3*201527Serbia
Adam PazderkaPAZAD1.020153Czech Republic
Ludovit PopikPOPLU1.1*20157Slovakia
poriya momenPORMO1.020151Iran
Sasha ProkofyevPROSA1.020151Cyprus
Antonija RadulovicRADAN0.9*201516Serbia
Ella RatzRATEL1.020152Israel
Ina RendtelRENIN0.9*201520Scotland
Boris RoskoROSBO1.020152Slovakia
Terrence RossROSTE0.9201424U.S.
Terrence RossROSTE0.9*201539U.S.
Katerina RusevaRUSKA1.020151Bulgaria
Mirco SanerSANMI1.0201510Switzerland
Branislav SavicSAVBR1.1201411Serbia
Branislav SavicSAVBR1.1*201545Serbia
Alex ScholtenSCHAL0.7*20159Czech Republic
Matej SchwartzSCHMA1.020152Slovakia
Stefan SchmeizerSCHST0.7201410Romania
Stefan SchmeissnerSCHST0.62014/20155Romania
Ivan SergeySERIV1.020152Belorussia
Shi WeiSHIWE1.1*20156China
Shlomi EiniSHLEI1.020153Israel
Vesna SlavkovicSLAVE1.1*20157Serbia
Danica SpasicSPADA1.0*201515Serbia
Jelena SpegarSPEJE1.2*201524Serbia
Ivan StankovitsSTAIV1.5†201533Serbia
Anton StipekSTIAN1.020151Croatia
Wesley StoneSTOWE1.1*20158U.S.
Matej SustrSUSMA1.020151Slovakia
Miroslav TirpakTIRMI1.020152Slovakia
Snezana TodorovicTODSN0.8*2014/201529Serbia
Oliver ToskovicTOSOL1.020154Serbia
Michel VandeputteVANMC1.32003?Belgium
Michel VandeputteVANMC1.3*201562France
Bozhena VarbanovaVARBO1.8*20155Bulgaria
Valentin VelkovVELVA1.020157Bulgaria
Kristina VeljkovicVERKR0.5†201528U.S.
Frank WaechterWAEFR0.320158Germany
Sabine WaechterWAESA0.6201510Germany
Weiqiao ChenWEICH1.020152China
Oliver WuskWUSOL0.8*201522Germany
Xicheng TianXICTI1.020154China
Yasuhiro TonomuraYSTO1.020152China
Miroslav ZivanovicZIVMI1.3*201512Serbia

 

 


4       Calculating the population index r

The population index could be quickly obtained by copy and paste of data from the spreadsheet with magnitude distributions into the spreadsheet for the population index r calculation. Only magnitude distributions obtained with a limiting magnitude of +5.9 or better have been used for this purpose. The selected magnitude distributions are copied into a spreadsheet designed by Carl Johannink where all the magnitude distributions are converted automatically to the standard conditions with a limiting magnitude of +6.5.

One problem occurred with the selection of the magnitude distributions to be used or to be rejected. Some observers report excessive many bright meteors while others report nothing brighter than +1. This kind of issues with the observing data results in deviant r-values. In a discussion with Carl Johannink we reached a consensus how to deal with this kind of problems: The difference between the average limiting magnitude and the average magnitude of the observed Perseids should not be larger than 4.5 magnitude.

For instance we had an observer for the night of 12–13 August with an average limiting magnitude of 6.82, reporting a significant number of Perseids with an average magnitude of +0.64. With a difference of 6.18 magnitudes this is definitely an outlier which is not suitable for the determination of the population index r. This approach worked out very well although some tolerance must be observed as the Perseids display some more bright meteors during the maximum. Rejected observations were considered case by case if these could be used for the calculation of the r-value, taking into account the degree of experience of the observer as well as the average magnitude of the Perseids.

5       Calculating the ZHR

ZHRs are calculted in the DMS according to the method of Peter Jenniskens (Jenniskens, 1994; Miskotte and Johannink, 2005a; 2005b):

ZHR

where γ = 1.4 for the radiant elevation correction. When all data was entered into the ZHR spreadsheet, the calculated Cp’s were added as well as the computed results for the population index r. While entering the data, the following aspects were carefully checked:

  • The effective observing time Teff: for the nights 10–11, 11–12, 12–13 and 13–14 August only half hour counts have been used. Some observers reported shorter intervals and these have been combined where possible. Intervals of at least 0.40 hour and maximal 0.60 hour were used. E.g. an observing session as short as 0.35 hour in a night was ignored.
    For all other nights counts per hour have been used (0.75 until 1.5 hour).
  • Only observations obtained under a limiting magnitude LM of +5.90 or better have been used.
  • Observations with the radiant elevation h less than 25° were ignored.
  • Observations with an obstruction coefficient F larger than 1.1 were ignored.

At a next step the ZHR for each observer was considered using the Auto filter of Excel. The cause for extreme outliers was verified. In most cases this is just due to too high or too low limiting magnitudes, but in some cases the erroneous input of the geographical coordinates for the observing site resulted in deviant results. This happened for a single case. Real outliers were deleted.

6       The results: population index r

The results of the population index calculations are listed in Table 2. A total of 11819 Perseids have been used to compute the population index, the number of Perseids used per night or per period is listed in Table 2.

I have chosen to use the magnitude classes from –1 up to +5 to derive the r-values as most of the data was available for this magnitude range and moreover results were about the same as for a magnitude range of –2 up to +5.


Table 2 – Computed r values for the Perseids 2015.
The values in the column r[–1:+5] have been used for the ZHR calculation.

DateUntilλʘr[–2;+5]nPerr[–1;+5]nPer
20158 August23 UT135.8642.002291.96224
201510 August0 UT136.8632.361842.39181
201510 August10 UT137.2632.301542.27152
201511 August0 UT137.8222.146772.20662
201511 August10 UT138.222x2.12234
201512 August00 UT138.7822.3311722.441148
201512 August7 UT139.042x2.25116
201512 August9 UT139.1622.112172.13213
201512 August17 UT139.4622.321752.11174
201512 August19 UT139.542xx
201512 August21 UT139.6222.218352.30814
201512 August23 UT139.7022.176542.31635
201513 August1 UT139.7822.2517382.291704
201513 August3 UT139.8622.355392.49529
201513 August5 UT139.9422.062221.94219
201513 August7 UT140.0222.034392.05428
201513 August9 UT140.1022.017122.07693
201513 August11 UT140.1822.034992.02489
201513 August21 UT140.5822.348352.42814
201513 August23 UT140.6622.406542.42635
201514 August1 UT140.7422.704672.70463
201514 August3 UT140.8221.841671.95160
201514 August6 UT140.9421.881202.12113
201514 August10 UT141.1032.07731.9772
201514 August23 UT141.6232.063122.11305
201515 August23 UT142.5842.252122.29208
201516 August23,5 UT143.5652.071112.10109
201517 August23 UT144.504x2.79111
201519 August0 UT145.509x2.5392
201520 August0 UT146.4712.41702.3769
201521 August0 UT147.434xxx
201522 August0 UT148.3972.12562.3554

Figuur 1Figure 1 – Population index r for the Perseids 2015 obtained from the magnitude range [–1:+5]
for the period 134°–150° in solar longitude.

Figuur 2

Figure 2 – Close up at the r-values during the Perseid maximum.
The solar longitude correspondents to the time range 12 Aug. 10h UT to 13 Aug. 11h UT.

It is striking that the r-value is above the average value before the maximum, but the difference decreases towards the maximum. During the night of 12–13 August over Europe the r-value shows a lot of scatter. The r-value was rather low, at about 2.00 (dots near λʘ = 140°), during the traditional maximum above the Eastern part of America. American meteor observers from this region reported indeed an impressive Perseid display. After the maximum the r-values increase again. Figure 2 is a close up at the Perseid maximum. The decrease at λʘ = 139.9° has probably to do with the increased activity over America.

 

7       The results: the ZHR profile

Figuur 3

Figure 3 – The ZHR profile for the Perseids during the time interval of 6–24 August 2015.

When all the data was sorted and filtered in the ZHR spreadsheet, 14875 Perseids and 7249 sporadics were still taken into account. The data of the sporadic meteors has been used for the calculation of the perception coefficient Cp. Only 37% of the data reported to the IMO could be used. Most of the rejected data did not fit our selection criteria due to too low limiting magnitudes. 991 time intervals could be used for ZHR calculations and the result is displayed in Figure 3.

The peak value of the ZHR is remarkable high for a traditional Perseid maximum. These ZHRs are mainly based on data from two very experienced observers from the eastern part of North America. We’ll take a look at the Perseid maximum in detail. The profile shows how the Perseid ZHR increases from a ZHR of 10 at 6 August and decreases to a ZHR less than 5 around 24 August. After this date it becomes difficult to identify the rare Perseids among the sporadic activity.

11–12 August: Europe and North America

There is only one Asian observer who reported data with a limiting magnitude better than +5.9. The ZHRs vary strongly between 20 and 75 with an average of 50, but this data has not be included in this analyses as it is based on too few intervals.

Figuur 4

Figure 4 – The ZHR for the interval 11 August 21h UT – 12 August 11h UT.
The dotted line is the linear regression fit through these points.

Something that strikes immediately are the larger error bars in Figure 4 above the American continent, (139.0° < λʘ < 139.2°). This is due to the smaller numbers of observers and therefore smaller numbers of data. About 15 visual observers were active in America, but only 4 managed to deliver useable data. This is a pity as it was mainly due to the too poor limiting magnitude that these observers have no data included. Luckily these observers were all very experienced. Europe counts many more visual observers but this group includes beginning observers and casual observers who only watch some shower maximum activity. All this data is always screened on quality and any outliers are rejected.

Looking at the variation of the activity profile shown in Figure 4, we see that Europe starts with ZHRs of 50 – 60 followed by a decrease to 40 and again increasing to about 50 at the end of the night. When American observers get started the ZHR is at a level of 60 but the activity shows quite some scatter as if there were three sub-peaks of about 60 – 70.  There is some increasing trend visible too.

The population index r was about 2.44 for Europe (relatively more fainter meteors), while for America this was a bit lower, decreasing from 2.25 to 2.16.

12–13 August: Asia, Europe and North-America

Again the same situation repeats itself with the data from Asia as for 11 August. There is quite some good observational data available submitted by about 15 observers. Only 3 were selected with a limiting magnitude of +5.9 or better. It is a pity as this way it is not possible to monitor the activity profile continuously. The Asian observers reported counts with ZHRs between 85–110 with a single outlier of 50. Figure 5 shows the result for observations reported from Asia, Europe and North America for the time interval 139.4° < λʘ < 140.2°, corresponding with 12 August 16h UT and 13 August 12h UT.

Figuur 5

Figure 5 – The ZHR profile 12–13 August from 16h until 12h UT.
The ZHRs for Asia are based on data from only 3 observers.

 

12–13 August: A short peak in activity over Europe?

Figuur 6Figure 6 – The ZHR profile for 12–13 August for Europe alone.
No linear regression has been applied because of the likely sub maximum at the beginning of the night.

As described in the observing report of Michel Vandeputte (Vandeputte and Miskotte, 2016), the observers in the French Provence had the impression that at the start quite a bit bright Perseids were observed followed by a dip in the activity. Other observers shared this impression, e.g. Felix Bettonvil who observed in Croatia. A quick calculation for the data of MISKO and VANMC, both in the Provence, shows that the data by MISKO has a small peak combined with a lower r-value. No trace of any increased ZHR in the data of VANM, but also here we find a lower r-value. Unfortunately, the data of both observers could not be used because of the radiant elevation which was significant less than 25° during these observations.

Analyzing all available data with a radiant elevation higher than 25° also shows this peak. Also the CAMS data indicates that there was something going on at 21h – 22h UT, but nothing conclusive can be derived from this data when checking the orbital data (Johannink, 2016). Radio observations by Peter Bus do not show any peak (Bus, 2016).

Last but not least we take a look at the number of Perseids recorded with the All-sky camera of Koen Miskotte, a Canon 6D with a Canon EF 8-15 mm F 4.0 “L” zoom fish eye lens, installed at Revest du Bion. The camera was set at 8 mm (circular fish eye exposures of the entire sky), F 4.5, ISO 3200 and an exposure time of 29 seconds. These settings easily allow to capture Perseids of magnitude 0. The quality of the night sky remained unchanged during this period of time. The results are listed in Table 3.
Only the radiant elevation has been corrected to calculate the photographic ZHR. Also the apparent angular velocity would require some correction as meteors close to their radiant have a slower angular velocity and are easier to be captured.


Table 3 – The number of photographed Perseids with the All sky camera at Revest du Bion, france during the night 12–13 August 2015. Camera: Canon 6D, Optics: Canon EF 8–15 mm F 4.0.

Period UT

–6

–5–4–3–2–10Total

Photo ZHR

20:15-21:152

2

15 ± 7
21:15-22:1512314

11

40 ± 12
22:15-23:15

1

2324

12

33 ± 9
23:15-00:1511232

9

17 ± 6
00:15-01:153158

17

31 ± 7
01:15-02:1512145

13

17 ± 5
02:15-03:15226

10

10 ± 4
20:15-03:15

1

139141729

74


Figuur 7

Figure 7 – Combined ZHR profiles for visual data (blue dots) and photographic data (red suares).

Also the photographic ZHR profile shows a slight increased activity at the start. The photographic ZHR profile looks remarkably similar in shape as the visual one, except at the end of the night. Where the visual ZHR
increases, the photographic ZHR decreases and this can have two explanations. First of all by the fact that the visual population index r increased from 2.3 to 2.5 at the end of the night, hence a decrease in bright meteors that could be photographed, secondly there were more cirrus clouds at the sky towards the morning which may have reduced the chances to capture meteors photographically. Figure 7 shows the combined visual and photographic ZHR profiles.

Jérémie Vaubaillon made some theoretical modelling for meteoroids released from the parent body of the Perseids, 109P/Swift-Tuttle, indicating a possible increased activity expected on 12 August 2015 around 18h39m UT with a duration of a few hours (McBeath, 2014). This time is just a bit earlier than the observed increased activity.

The observing window around 18h39m UT coincides with the Asian data (Figure 5), which also suggest slightly higher ZHRs than what can be expected at that solar longitude. However this is data from no more than three observers for who no perception coefficient Cp could be calculated and about who nothing is known regarding the level of experience. Another possible explanation is that the filament which was expected on 12 August 2015 around 23h UT has occurred sooner than expected (Jenniskens, 2006).

Figuur 8b

Figure 8: composition of Perseïds captured on August 13, 2016 between 21-00 UT with the all sky camera at Revest du Bion. Camera: Canon 6D. Lens: Canon EF 8-15 mm F 4.0 fish eye lens. Image credit: Koen Miskotte

12–13 August: increased activity over North America!

The traditional maximum was expected on 13 August 2015 from 6h30m and 9h00m UT (McBeath, 2014). However the reports by observers at the eastern part of North America describe a fantastic meteor display starting as soon as it got dark. You may read the reports from two veteran meteor observers, Pierre Martin and George Gliba (Martin and Gliba, 2016). The ZHR calculations give ZHR values in the range of 120 – 140, decreasing to 80 – 90 at the end of the night. A traditional Perseid maximum has a typical ZHR around 100, hence the observed activity appears to be above the expected level. When it got dark over the western part of North America the activity was already less.

Figuur 8

Figure 9 – The ZHR profile for Northern America. A linear regression fit has been added as a dotted line to indicate the trend. According to IMO the maximum was expected during the interval of 140.0° < λʘ < 140.1°.

13–14 August: Europe and North America

A normal level of Perseid activity was recorded over Europe during this night. The ZHR decreased from about 80 to about 50 at the end of the night. This trend continued as seen from North America with ZHRs decreasing from about 55 to 35.

Figuur 10

Figure 10 – ZHR profile for the interval 13 August 20h UT until 14 August 12h UT.
A linear regression fit is added to indicate the trend.

8       Recommendation

It would be very helpful if meteor observers in North America and Asia could travel to dark sky locations for observing as too many do suffer from too poor limiting magnitudes. Further there is a structural shortage in visual observers in these regions; hence any initiative to encourage amateurs to report more visual meteor observations would be very welcome.

9       Conclusion

2015 produced a most interesting Perseid return, most promising in view of the 2016 display during which significant increased activity is expected due to the presence of multiple dust trails such as these of 1076 and 1862. An increased activity has been observed above North America around the traditional Perseid maximum (ZHR 120 – 140 instead of the expected 100). There are also strong indications for a short peak observed from Europe around 21h UT, possibly connected with the end of the increased activity above Asia around 18h39m UT, predicted by Jérémie Vaubaillon, or related to the earlier occurrence of the filament expected on 12 August at 23h UT (Jenniskens, 2006). Unfortunately no confirmations could be found in either radio data or in CAMS data.

Acknowledgment

The author wishes to thank all observers very much for their enormous efforts! Without them no analyses like this would be possible. Thanks also to Carl Johannink for the helpful spreadsheets and the useful discussions. Thanks to Paul Roggemans, Michel Vandeputte, Jaap van ‘t Leven and Peter Bus for their critical reading of this article. And a big thank you to Paul Roggemans for translating this article into English!

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