Physics of auroral phenomena : proceedings of the 39th annual seminar, Apatity, 29 February-4 March, 2016 / [ed. board: N. V. Semenova, A. G. Yahnin]. - Апатиты : Издательство Кольского научного центра РАН, 2016. - 167 с. : ил., табл.
M. Klimenko et al. Boulder n 12 • x § A 10 —| Q' о v 8 4 ' 6—j— 120 18 — - 1 6 - N — 14 - pi 1? -i <- < 10 - 8 - 6 не--1 N 14 • X 2 n 12 - 130 Jeju 140 <F10.7> 150 160 120 P- -i — Г 130 140 <FI0.7 18 - 16 - X 14 -f - 1? - 2? 10 - 8 - 6 - Kaliningrad Q--'* 120 140 <F10.7> 150 160 n 9 ■ X S G 8 ' 120 130 140 <F 10.7> 120 130 140 <F 10.7> 150 160 18 lf> N X 14 Г‘ 1? £ 10 8 Irkutsk 0" —^ O ' 160 120 130 140 <FI0.7> 150 18 16 N 5 и A 12 «J ^ 10- V 8 - 6 Moscow- 120 -) 20 - Port Stanley - - О — N 16 — A 12 - ° ’....... ............... 1 • H ........ v 8 - 4 ....... 20 - j Pruhonice N 16 - s s n •••""’ A 12 - V ‘‘ ^ о О — — ~ ~ =® ~ V s _ < ; i | i | 1 | 4 ■ i ’ 1 1 1 1 | 4 " j 130 Rome 140 <F10.7> 150 p .- - 120 U0 140 <FI0.7> 150 160 Figure 2. Daytime NmF2 dependence on the solar activity at different stations obtained by linear regression of data (presented by circles) for January 19 (1) 2012, 2013, 2015 (dotted line); (2) 2012, 2013, 2014 (dashed line); (3) all years in the consideration (solid lines). Station Linear regression coefficients for 2012,2013,2015 Linear regression coefficients for 2012,2013, 2014 Linear regression coefficients for 2012-2015 bo b, bo b, bo b, Boulder 29.074 0.306 4.228 0.038 5.333 0.034 I-Cheon -20.889 0.239 3.006 0.046 3.992 0.043 Irkutsk -20.318 0.237 4.905 0.035 5.724 0.031 Jeju -11.711 0.172 1.942 0.062 2.549 0.059 Kaliningrad -21.387 0.236 1.143 0.053 2.277 0.049 Moscow -21.191 0.236 1.423 0.053 2.454 0.049 Port Stanley 15.742 -0.058 4.878 0.028 4.841 0.028 Pruhonice -31.981 0.322 1.789 0.049 3.316 0.043 Rome -27.076 0.284 0.024 0.064 1.279 0.060 Table 3. Linear regression coefficients for different time intervals Constructing linear regressions for different data sets and analyzing the geomagnetic activity behavior we made a preliminary conclusion about a positive impact of geomagnetic activity on the January daytime NmF2 values. For testing this preliminary conclusion we plan to construct double linear regression of <NmF2> from <FW1>2 7 and <Ap> 27 using more years in the data sets. A ckn ow led gm en ts. Authors express the huge gratitude for use of the ionospheric observational data obtained from the SPIDR website http://spidr.ngdc.noaa.gov/spidr/. The solar activity index was obtained from the University of Colorado Boulder website http://lasp.colorado.edu/lisird/tss/noaa_radio_flux.html. The geomagnetic indices were obtained from the website http://wdc.kugi.kyoto-u.ac.jp/. This investigations were performed with financial support of the Russian Foundation for Basic Research Grants No. 14-05-00578 and 15-35-20364. This work was partially 99
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