1
Sodankylä Kilpisjärvi Kiruna Tromsø Inves&ga&ng the contribu&on of high-energy precipita&on during pulsa&ng aurora: KAIRA and op&cal data comparison A. Kero 1 , M. Grandin 1,2 , N. Partamies 3 , D. McKay 1,4 , A. Kozlovsky 1 , and D. Whiter 5 1 Sodankylä Geophysical Observatory, University of Oulu, Sodankylä, Finland 2 Université de Toulouse, UPS-OMP, IRAP, Toulouse, France 3 University Centre in Svalbard / Birkeland Centre for Space Science, Longyearbyen, Norway 4 STFC Rutherford Appleton Laboratory, Didcot, United Kingdom 5 Space Environment Physics, University of Southampton, Southampton, United Kingdom Contact: maxime.grandin@oulu.fi SM43B-2498 Kilpisjärvi Atmospheric Imaging Riometer Array (KAIRA) Introduction ASC image on 26.02.2014 at 02:15:00 UT 100 200 300 400 500 Pixel number 50 100 150 200 250 300 350 400 450 500 Pixel number F V MZ The LBA array (foreground) and the HBA array (background) on a sunny winter day. Photo by D. McKay. Figure 2 – Two KAIRA beams mapped on an all-sky camera image. Beams are noted V (ver&cal) and F (field- aligned); MZ indicates the magne&c zenith. Figure 1 – Map of the area. The instruments used in this study are located in Kilpisjärvi, on Finnish territory, just next to the border with Norway. The scien&fic observatory in Kilpisjärvi, with the dome containing the all-sky camera. The background features the Saana fell, sacred to the Sámi people. Photo by T. Raita. Pulsating aurora is among the clearest examples of the high temporal and spatial variability of particle precipitation into the ionosphere. This work studies the possible contribution of high- energy particle precipitation during a pulsating aurora event over Kilpisjärvi (L = 5.9). It is based on the comparison of optical data and cosmic noise absorption (CNA) data. The optical data consists of all-sky camera images of the auroral blue-line emission (427.8 nm), and the CNA data at 30 MHz was obtained from an experiment of the Kilpisjärvi Atmospheric Imaging Riometer Array (KAIRA), used here as a multi-beam riometer. 02:00 02:05 02:10 02:15 02:20 02:25 02:30 02:35 UT 100 200 300 400 500 600 700 800 900 1000 ASC data (R) Beam V 0.2 0.4 0.6 0.8 1 1.2 200 400 600 800 1000 ASC data (R) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 CNA @29.9 MHz (dB) Correlation coefficient: 0.909 02:00 02:05 02:10 02:15 02:20 02:25 02:30 02:35 UT 100 200 300 400 500 600 700 800 900 1000 Beam F 0.2 0.4 0.6 0.8 1 1.2 CNA @29.9 MHz (dB) 200 400 600 800 1000 ASC data (R) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 CNA @29.9 MHz (dB) Correlation coefficient: 0.923 CNA and Optical Data Correlation Figure 3 – (top) Time series of the op4cal and CNA data during the 26 February 2014 pulsa&ng aurora event. (bohom) Correla&on between CNA and op&cal data sets. -10 -5 0 5 10 15 20 Time relative to zero epoch (s) -150 -100 -50 0 50 100 Filtered ASC data (R) Beam V -10 -5 0 5 10 15 20 Time relative to zero epoch (s) -0.06 -0.04 -0.02 0 0.02 0.04 Filtered KAIRA data (dB) -10 -5 0 5 10 15 20 Time relative to zero epoch (s) -150 -100 -50 0 50 100 Beam F -10 -5 0 5 10 15 20 Time relative to zero epoch (s) -0.06 -0.04 -0.02 0 0.02 0.04 KAIRA consists of two arrays: – High-band antenna (HBA) array 110–270 MHz, 48 “tile” antennas – Low-band antenna (LBA) array 10–80 MHz, 48 “inverted-V” aerials It is based on the LOFAR (Low- Frequency Array) International Telescope technology. Optical data: weighted average of pixel values within KAIRA beam. Time resolution: 2 s for optical data; 1 s for KAIRA data. Event date: 26 February 2014, 02:00 UT (~05:00 magnetic local time). Pulsations in CNA? Superposed Epoch Analysis Discussion References McKay-Bukowski, D., J. Vierinen, I. I. Virtanen, R. Fallows, M. Postila, et al. (2015), IEEE Trans. Geosci. Remote Sens., 53(3), 1440–1451, doi:10.1109/TGRS.2014.2342252. Verronen, P. T., A. Seppälä, M. A. Clilverd, C. J. Rodger, E. Kyrölä, et al. (2005), J. Geophys. Res. Space Physics, 110(9), A09S32, doi:10.1029/2004JA010932. ... and, (hopefully) Grandin, M., A. Kero, N. Partamies, D. McKay, A. Kozlovsky, and D. Whiter (2017), Observation of pulsating aurora signatures in cosmic noise absorption data (submitted). Acknowledgements This work was supported by the International Space Science Institute (ISSI) in Bern, Switzerland. The Kilpisjärvi all-sky camera images were obtained from the MIRACLE database (http://space.fmi.fi/MIRACLE/). The authors thank all the people contributing to the annual operation, maintenance and calibration of the MIRACLE cameras. The KAIRA data come from the Sodankylä Geophysical Observatory database (http://www.sgo.fi). KAIRA was funded by the University of Oulu and the FP7 European Regional Development Fund and is operated by Sodankylä Geophysical Observatory. Conclusion 02:05 02:06 02:07 UT 500 600 700 800 900 ASC (R) Beam V 02:05 02:06 02:07 UT -100 0 100 200 Filtered ASC (R) 02:09 02:10 02:11 UT 500 600 700 800 900 Beam F 02:09 02:10 02:11 UT -100 0 100 200 0.3 0.4 0.5 0.6 0.7 -0.1 -0.05 0 0.05 0.3 0.4 0.5 0.6 0.7 KAIRA (dB) -0.1 -0.05 0 0.05 Filtered KAIRA (dB) Figure 4 – Time series of the data during pulsa&on &me intervals. (top) Original op4cal data and original KAIRA data. (bohom) High-pass-filtered op4cal and KAIRA data. Black stars indicate the chosen zero epochs for the superposed epoch analysis (see Figure 5). Figure 5 – Superposed epoch analysis of the filtered ASC and CNA data during pulsa&ons. (median values; upper and lower quar4les). The Sodankylä Ion-Neutral Chemistry (SIC) Model For each beam, a data subset exhibiting clear optical pulsations was chosen (Figure 4, top). Pulsations are also clearly visible in the CNA data, following the optical ones! Optical and CNA data were high-pass filtered, to remove background value and fluctuations with periods longer than 30 s. The zero epochs were defined as the local minima before optical pulsations (stars in Fig. 4). More details on KAIRA in McKay-Bukowski et al. [2015] (open access) KAIRA is a multi-purpose radar, applicable to: – multi-beam, multi-frequency riometry; – bistatic incoherent scatter radar observations (with Tromsø VHF); – interplanetary scintillation; – all-sky interferometric riometry; – radio astronomy; – solar radio emission studies... Can we trust that the fluctuations in CNA indeed match the optical pulsations? Pulsation periods: ~12+ s (beam V) ~10 s (beam F) Spread suggests irregular periods Pulsations with similar periods in CNA, even in beam F! The SIC model is a middle atmosphere and D-region 1-dimensional model, which resolves the concentrations of: – 36 positive ions; – 27 negative ions; – 13 neutral species. It considers more than 400 chemical reactions, and ionization sources include solar UV, X-rays, electron and proton precipitation, and galactic cosmic rays. Vertical transport is included, and SIC can be run either in static or dynamic mode. More details on the SIC model in Verronen et al. [2005] The main findings from this comparison between CNA data from KAIRA and optical data are: – CNA and optical data show a very high (>0.9) correlation; Pulsation signatures can be seen in CNA; – Pulsation periods are irregular, even within a same patch. CNA at frequency ω is given in dB by In practice, A dB is proportional to the total electron density in the D region. SIC model simulations estimated the recombination time at 60–90 km altitude to be of the order of 40–60 s. Approximating the N e decay as exponential, during a ~8 s pulsation “off ” time, the CNA decrease is expected to be of about 15%, which is consistent with observations (Fig. 4, beam V). More detailed simulations with the SIC model reproduced ~0.1 dB oscillations in CNA by modulating with 10 s period the precipitation flux estimated based on incoherent scatter radar (EISCAT) measurements during the event. It was in addition found that modulating only the low-energy part of the flux (ionizing down to ~100 km) only creates ~0.01 dB oscillations in CNA.

SM43B-2498 Inves&gang the contribu&on of high-energy ...chamos.fmi.fi/presentations/Kero_AGU2016_PA_poster.pdf · The optical data consists of all-sky camera images of the auroral

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Page 1: SM43B-2498 Inves&gang the contribu&on of high-energy ...chamos.fmi.fi/presentations/Kero_AGU2016_PA_poster.pdf · The optical data consists of all-sky camera images of the auroral

Sodankylä

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Inves&ga&ngthecontribu&onofhigh-energyprecipita&onduringpulsa&ngaurora:KAIRAandop&caldatacomparison

A.Kero1,M.Grandin1,2,N.Partamies3,D.McKay1,4,A.Kozlovsky1,andD.Whiter51SodankyläGeophysicalObservatory,UniversityofOulu,Sodankylä,Finland2UniversitédeToulouse,UPS-OMP,IRAP,Toulouse,France3UniversityCentreinSvalbard/BirkelandCentreforSpaceScience,Longyearbyen,Norway4STFCRutherfordAppletonLaboratory,Didcot,UnitedKingdom5SpaceEnvironmentPhysics,UniversityofSouthampton,Southampton,UnitedKingdom

Contact:[email protected]

SM43B-2498

Kilpisjärvi Atmospheric Imaging Riometer Array (KAIRA)

Introduction

ASC image on 26.02.2014 at 02:15:00 UT

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The LBA array (foreground) and the HBA array (background) on asunnywinterday.PhotobyD.McKay.

Figure2–TwoKAIRAbeamsmappedonanall-sky camera image.Beams are noted V(ver&cal)andF (field-aligned);MZindicatesthemagne&czenith.

Figure1–Mapofthearea. The instrumentsused in this study arelocated in Kilpisjärvi,on Finnish territory,justnexttotheborderwithNorway.

Thescien&ficobservatoryinKilpisjärvi,with the dome containing the all-skycamera. The background features theSaanafell,sacredtotheSámipeople.PhotobyT.Raita.

Pulsating aurora is among the clearest examples of the high temporal and spatial variability of particle precipitation into the ionosphere. This work studies the possible contribution of high-energy particle precipitation during a pulsating aurora event over Kilpisjärvi (L = 5.9). It is based on the comparison of optical data and cosmic noise absorption (CNA) data. The optical data consists of all-sky camera images of the auroral blue-line emission (427.8 nm), and the CNA data at 30 MHz was obtained from an experiment of the Kilpisjärvi Atmospheric Imaging Riometer Array (KAIRA), used here as a multi-beam riometer.

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CNA and Optical Data Correlation

Figure3–(top)Timeseriesoftheop4calandCNAdataduringthe26February2014pulsa&ngauroraevent.(bohom)Correla&onbetweenCNAandop&caldatasets.

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KAIRA consists of two arrays: – High-band antenna (HBA) array

110–270 MHz, 48 “tile” antennas – Low-band antenna (LBA) array 10–80 MHz, 48 “inverted-V” aerials

It is based on the LOFAR (Low-Frequency Array) International Telescope technology.

Optical data: weighted average of pixel values within KAIRA beam. Time resolution: 2 s for optical data; 1 s for KAIRA data. Event date: 26 February 2014, 02:00 UT (~05:00 magnetic local time).

Pulsations in CNA?

Superposed Epoch Analysis

Discussion

References McKay-Bukowski, D., J. Vierinen, I. I. Virtanen, R. Fallows, M. Postila, et al. (2015), IEEE Trans. Geosci. Remote Sens., 53(3), 1440–1451, doi:10.1109/TGRS.2014.2342252. Verronen, P. T., A. Seppälä, M. A. Clilverd, C. J. Rodger, E. Kyrölä, et al. (2005), J. Geophys. Res. Space Physics, 110(9), A09S32, doi:10.1029/2004JA010932.

... and, (hopefully) Grandin, M., A. Kero, N. Partamies, D. McKay, A. Kozlovsky, and D.  Whiter (2017), Observation of pulsating aurora signatures in cosmic noise absorption data (submitted).

Acknowledgements This work was supported by the International Space Science Institute (ISSI) in Bern, Switzerland. The Kilpisjärvi all-sky camera images were obtained from the MIRACLE database (http://space.fmi.fi/MIRACLE/). The authors thank all the people contributing to the annual operation, maintenance and calibration of the MIRACLE cameras. The KAIRA data come from the Sodankylä Geophysical Observatory database (http://www.sgo.fi). KAIRA was funded by the University of Oulu and the FP7 European Regional Development Fund and is operated by Sodankylä Geophysical Observatory.

Conclusion

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Figure 4 – Time series of the data during pulsa&on &meintervals.(top)Originalop4caldataandoriginalKAIRAdata.(bohom) High-pass-filtered op4cal and KAIRA data. Blackstars indicate the chosen zero epochs for the superposedepochanalysis(seeFigure5).

Figure 5 – Superposed epoch analysis of the filteredASCandCNAdataduringpulsa&ons. (median values;upperandlowerquar4les).

The Sodankylä Ion-Neutral Chemistry (SIC) Model

For each beam, a data subset exhibiting clear optical pulsations was chosen (Figure 4, top). Pulsations are also clearly visible in the CNA data, following the optical ones!

Optical and CNA data were high-pass filtered, to remove background value and fluctuations with periods longer than 30 s. The zero epochs were defined as the local minima before optical pulsations (stars in Fig. 4).

More details on KAIRA in McKay-Bukowski et al. [2015] (open access)

🤗

KAIRA is a multi-purpose radar, applicable to: – multi-beam, multi-frequency

riometry; – bistatic incoherent scatter radar

observations (with Tromsø VHF); – interplanetary scintillation; – all-sky interferometric riometry; – radio astronomy; – solar radio emission studies...

Can we trust that the fluctuations in CNA indeed match the optical pulsations? 🤔

Pulsation periods: ~12+ s (beam V) ~10 s (beam F) Spread suggests irregular periods

Pulsations with similar

periods in CNA, even in beam F!

😱

The SIC model is a middle atmosphere and D-region 1-dimensional model, which resolves the concentrations of: – 36 positive ions; – 27 negative ions; – 13 neutral species. It considers more than 400 chemical reactions, and ionization sources include solar UV, X-rays, electron and proton precipitation, and galactic cosmic rays. Vertical transport is included, and SIC can be run either in static or dynamic mode.

More details on the SIC model in Verronen et al. [2005]

The main findings from this comparison between CNA data from KAIRA and optical data are:   – CNA and optical data show a very high (>0.9) correlation;   – Pulsation signatures can be seen in CNA;   – Pulsation periods are irregular, even within a same patch.

CNA at frequency ω is given in dB by

In practice, AdB is proportional to the total electron density in the D region. SIC model simulations estimated the recombination time at 60–90  km altitude to be of the order of 40–60 s. Approximating the Ne decay as exponential, during a ~8 s pulsation “off ” time, the CNA decrease is expected to be of about 15%, which is consistent with observations (Fig. 4, beam V). More detailed simulations with the SIC model reproduced ~0.1 dB oscillations in CNA by modulating with 10 s period the precipitation flux estimated based on incoherent scatter radar (EISCAT) measurements during the event. It was in addition found that modulating only the low-energy part of the flux (ionizing down to ~100 km) only creates ~0.01 dB oscillations in CNA.

🤗