Skip to content

Advertisement

Open Access

Lidar returns from the upper atmosphere of Kamchatka for 2008 to 2014 observations

  • Vasily V Bychkov1Email author,
  • Yuri А Nepomnyashchiy1,
  • Andrey S Perezhogin1 and
  • Boris M Shevtsov1
Earth, Planets and Space201466:150

https://doi.org/10.1186/s40623-014-0150-6

Received: 30 March 2014

Accepted: 29 October 2014

Published: 14 November 2014

Abstract

The correlation of lidar returns at a wavelength of 532 nm at altitudes of 150 to 300 km is investigated with the parameters of the night ionospheric F2 layer. Moreover, the role of excited ions of the nitrogen atoms in the formation of lidar signals is discussed.

Keywords

LidarElectron ContentLidar SignalLidar ReturnPassband Width

Findings

Introduction

In charged particle precipitations, lidar signal at a wavelength of 532 nm correlates with the critical frequency of the ionospheric F2 layer (Bychkov and Shevtsov [2012]). This signal can be attributed to the resonant fluorescence of excited ions of atoms or molecules. In the present work, candidates for this role are considered among the components of ionospheric plasma.

Resonant fluorescence has been used in previous research to detect metal vapors at altitudes of about 100 km. Collins et al. ([2006]) reported the occurrence of resonant scattering on N2+ ions at altitudes of about 300 km. Considering that the density of N+ exceeds that of N2+ at altitudes of 200 to 300 km and that dipole N+ transitions lie within the spectral band of the second harmonic of Nd:YAG laser radiation, the possibility exists for detection of this radiation scattering in the ionospheric F2 layer.

An analysis of lidar and radar measurements recorded in Kamchatka in 2008 to 2014 revealed a number of cases of correlation of lidar signals at a wavelength of 532 nm with the electron content in the ionospheric F2 layer. New observations are presented in the present study, and the possible mechanisms of lidar return signal formation in the upper atmosphere in charged particle precipitations are discussed.

Equipment

Data obtained with a lidar and an ionosonde in Village Paratunka, Kamchatka (52.9° N, 158° E) are presented in the work. A Brilliant B Nd:YAG laser (Brilliant B, Quantel, France) with a pulse repetition frequency of 10 Hz was used with an energy per pulse of the second harmonic of 0.4 J. The distance between the receiver and transmitter axes was equal to 510 cm. The mirror of the receiving telescope had a diameter of 60 cm and a field of view of 0.1 to 1 mrad. To avoid intense photomultiplier tube (PMT) illumination by signals from the near field zone, the PMT was electronically locked by pulse at a duration of 140 μs. The signal was recorded with a step of 10 μs during 4 ms after triggering of the laser pulse, which corresponded to a sensing range of 21 to 600 km with a step of 1.5 km. The signal was accumulated for 15 min and was then averaged over 9,000 laser pulses. The background signal was averaged over 400 measurements from 20 to 24 ms after every laser pulse. A Hamamatsu H8259-01 PMT and a Hamamatsu M8784 (Hamamatsu Photonics, Hamamatsu City, Japan) photon counter were used in the receiving system. Optical filters with a passband width at the half maximum of 1 and 3 nm were used. The lidar and the ionosonde were synchronized using global positioning system (GPS).

The uncertainties in the measurements were estimated. The noise was the dark current of PMT plus the night sky background. The average dark current of PMT was 20/s. The counting time for the 200 to 300 km layer was (2/3) ms. We recorded 9,000 laser impulses per 15 min and 20(2/3)9 = 120 impulses of the dark current. The night sky background was negligible in comparison with the dark current when the moon was absent and the optical filter had a passband width at the half maximum of 1 nm. The strong night sky background was not considered. The average lidar signal without precipitation was about 100 impulses. The dispersion was equal to the average for the Poisson process. Therefore, the relative uncertainties in the measurements, i.e., the total standard deviation of dark current and lidar signal per average lidar signal, were (120 + 100)^0.5/100 = 0.15. The ratios of signal per noise were about 2 and 1 with and without precipitation, respectively.

Results of 2008 observations

Figure 1a,b shows the results obtained on 28 March 2008 (Bychkov and Shevtsov [2012]).
Figure 1
Figure 1

Critical frequency of the ionospheric F2 layer and lidar signal. (a) Critical frequency of the ionospheric F2 layer (foF2) and (b) lidar signal S = N − Nf summed for altitudes of 200 to 300 km, where N is the total number of detected impulses and Nf is the noise level. The middle curve shows the average signal, and the upper and lower curves illustrate the total standard deviations.

At night from 13:00 until 14:30 UT, an increase in critical frequency was observed in the F2 layer. A rise of the same shape was simultaneously observed for the lidar signal. The geomagnetic disturbance observed after the storm with a maximum on 26 March was recorded on the same night. The local geomagnetic K-indices were equal to four during the observation period. The ionosonde registered sporadic E (Es) layers of corpuscular type at altitudes of 130 to 150 km with critical frequencies (foEs) of 1.5 to 1.6 MHz.

An analogous case was observed on 10 November 2008 (Bychkov et al. [2014]), that included a high foEs of 4 to 5 MHz. The occurrence of the corpuscular layer specifies the precipitation of charged particles. The quiet geomagnetic conditions retained in the beginning of November were characteristic for this day. The data of Kamchatka (Paratunka) Geomagnetic Observatory indicate that the K-indices values did not exceed one on 10 November.

Figure 2a,b shows the results obtained on 6 September 2008.
Figure 2
Figure 2

Critical frequency of the ionospheric F2 layer and lidar signals. (a) Critical frequency of the ionospheric F2 layer (foF2) and (b) lidar signals summed for altitudes of 150 to 200 km and 200 to 300 km.

The coefficient of correlation between signals from layers 200 to 300 km and 150 to 200 km was 0.83. For altitudes above 100 km, the correlation of signals from different layers is not typical. Analogous results were obtained on the preceding day, 5 September 2008 (Bychkov and Shevtsov [2012]).

The lidar signals correlated with the F2 critical values (foF2) on 5 and 6 September 2008, after the maximum geomagnetic disturbance (Кр = 6) on 4 September. Kamchatka ionosonde data indicate that the night Es layers were observed on 5 and 6 September at altitudes 100 to 114 km.

Observations in 2014

In April to May 2014, lidar observations were performed with a YG-982E laser that operated at the wavelength of the second harmonic of 532 nm with an energy per pulse of 1.0 to 1.1 J. The signal from the receiver was divided into two halves and was fed to two PMTs through optical filters with passbands at half maxima of 1 and 3 nm, respectively, and identical transmittances of T >65% to estimate the spectral width of the signal.

Figure 3а,b shows the results obtained on 14 May 2014.
Figure 3
Figure 3

Critical frequency of the ionospheric F2 layer and lidar signals with the indicated degree of filtration. (a) Critical frequency of the ionospheric F2 layer (foF2) and (b) lidar signals with the indicated degree of filtration summed for altitudes of 200 to 300 km.

On that day, Es layers were observed at 11:15, 12:30, and 12:45 UT with foEs of 2, 1.8, and 1.55 MHz, respectively. At night, all observed Es layers were corpuscular type. Maxima of lidar return signals were observed at those times (Figure 3b), as were local increases in foF2 (Figure 3а).

Good agreement of signals recorded by the receivers with narrow and wide optical filters is shown in Figure 3b, which indicates that the lidar signal frequency had not shifted and that the signal itself had a maximum spectral width of 1 nm.

Discussion of results

A correlation of lidar return signals from altitudes of 200 to 300 km with the electron content of the plasma was observed during the precipitation of soft electrons in the ionosphere at hundreds of electron-volts (eV) to kiloelectron-volts (keV). Detection of this effect required good weather and an absence of the moon. We were able to perform observations in precipitations two to five times annually during 2008 to 2013.

The correlation of the lidar signal with the electron content of the plasma suggests that laser radiation is scattered on ions. Moreover, the unshifted signal frequency indicates the resonant character of the scattering.

The second harmonic of the Nd:YAG laser has a wavelength range 532.08 ± 0.07 nm, within which lie the lines of dipole transitions of ions of the nitrogen atom (NIST ASD [1978]; Table 1).
Table 1

Lines of ions of the nitrogen atom within the band of the second harmonic of the Nd:YAG laser

  

Wavelength in air (nm)

Aki

Lower level

Term

J

Upper level

Term

J

(s−1)

1

NII

532.0202

4.20e +07

2s2p2(4P)3p

5

2

2s2p2(4P)3d

5P

1

2

NIII

532.087

5.68e +07

2s2p(3P°)3p

2D

5/2

2s2p(3P°)3d

2 F°

7/2

3

NII

532.0958

2.52e +07

2s2p2(4P)3p

5

1

2s2p2(4P)3d

5P

2

The first of these lines lies in the edge of the band at 532.08 ± 0.07 nm, and two others fall into its center. All three transitions can apply for the role of resonant scatterer; however, the first will be excited less effectively than the third, and the density of NIII will be significantly lower than that of NII. Therefore, we considered only the third transition.

At altitudes of 200 to 300 km, the atomic oxygen prevailed. The O+ density was estimated from the electron density in the nighttime F2 layer of the ionosphere as 104 cm−3. The N + density is about 1% of the O+ density (Richards [2011]), which makes 102 cm−3.

The excited states are characterized by the principal quantum number n and the angular momentum L. States for which n, L <100 are referred to as discrete states. For larger values, the spectrum of states can be considered as continuous.

This statement follows from the estimate 2Ry/n3 ~ G1(n + 1)/2, where Ry is the Rydberg constant and G1 is the width of the first level. The left-hand side of this relationship shows the energy difference between the neighboring levels, and the right-hand side shows the total width of the level n. The width of the level increases with arithmetic progression such that n increases and becomes comparable with the distance between the neighboring levels.

The estimate gives n ~ 100. Considering that L ~ n, the number of discrete excited states can be estimated as nL ~ (100)2. Then, the number density of the excited ions N +* in the state corresponding to row 3 of Table 1 can be estimated as N +* = 10−4N + = 10−2 cm−3 = 104 m−3.

The resonant scattering cross section can be estimated as the square of the wavelength, which gives σ = 0.25 × 10−12 m2. Then, the scattering coefficient k = σ N +* = 0.25 × 10−8 m−1.

The layer with the thickness l = 100 km will scatter kl = 0.25 × 10−3 photons of their total number in the laser shot. The pulse energy was approximately 0.5 J, and the number of included photons was approximately 1019. According to the ratio of the emission line width of the ion to the width of the laser line, the fraction of resonant photons was approximately 1/30. Hence, 0.25 × 1016/(4 π × 30) photons will be scattered into the unit solid angle per pulse.

The scattering region was located approximately 250 km from the lidar, and the aperture area of the telescope was 0.36 m2. The solid field-of-view angle of the photon detector was approximately equal to 0.36/4 π × 6.25 × 1010. Hence, 0.25 × 0.36 × 1016/(4 π)2 × 187.5 × 1010 ≈ 3 photons will arrive on the detector per laser shot.

Considering a PMT quantum efficiency of 0.1 and 9 × 103 laser pulse shots for 15 min, we obtain 2.7 × 103 photon counts for 15 min. Considering the losses in the atmosphere and in the receiving system of the lidar, the order of this value is in agreement with the 100 to 300 measured photons shown in Figures 1, 2 and 3.

In summary, we can conclude that scattering of laser radiation with a wavelength of 532 nm in the upper atmosphere is caused by excited nitrogen ions. As shown in Figures 1, 2 and 3, the scattering increases by a factor of 2 to 3 in soft electron precipitations.

Declarations

Acknowledgements

This work was supported in part by the Project No. 12-I-OFN-16 of the Far Eastern Branch of the Russian Academy of Sciences and by the Russian Foundation for Basic Research, Grant No. 13-05-01036а.

Authors’ Affiliations

(1)
Institute of Cosmophysical Research and Radio Wave Propagation of the Far Eastern Branch of the Russian Academy of Sciences, Village Paratunka, Kamchatka Krai, Moscow, Russia

References

  1. Bychkov VV, Shevtsov BM: Dynamics of lidar reflections of the Kamchatka upper atmosphere and its connection with phenomena in the ionosphere. Geomagnetism Aeronomy 2012, 52: 797–804. 10.1134/S0016793212060047View ArticleGoogle Scholar
  2. Bychkov VV, Nepomnyashchiy YA, Perezhogin AS, Shevtsov BM, Polekh NM: Lidar returns from the upper atmosphere of Kamchatka according to observations in 2008. Atmos Oceanic Opt 2014, 27: 297–302. 10.1134/S1024856014040058View ArticleGoogle Scholar
  3. Collins RL, Su L, Lummerzheim D, Doe RA: Investigating the auroral thermosphere with N2+ lidar. Characterising the Ionosphere (РР. 2–1–2–14). Meeting Proceedings RTO-MP-IST-056, Paper 2 RTO, Neuilly-sur-Seine, France; 2006. Available at [https://www.cso.nato.int/pubs/rdp.asp?RDP=RTO-MP-IST-056] https://www.cso.nato.int/pubs/rdp.asp?RDP=RTO-MP-IST-056 Available at https://www.cso.nato.int/pubs/rdp.asp?RDP=RTO-MP-IST-056Google Scholar
  4. NIST ASD (1978), . Online: March 1995, [http://physics.nist.gov/PhysRefData/ASD/lines_form.html]
  5. Richards PG (2011) Reexamination of ionospheric photochemistry. JGR:, doi:10.1029/2011JA016613Google Scholar

Copyright

© Bychkov et al.; licensee Springer. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

Advertisement