Japan Geoscience Union Meeting 2015

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International Session (Poster)

Symbol P (Space and Planetary Sciences) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM07] Space Weather, Space Climate, and VarSITI

Tue. May 26, 2015 6:15 PM - 7:30 PM Convention Hall (2F)

Convener:*Ryuho Kataoka(National Institute of Polar Research), Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University), Yoshizumi Miyoshi(Solar-Terrestrial Environement Laboratory, Nagoya University), Toshifumi Shimizu(Institute of Space and Astronautical Science, JAXA), Ayumi Asai(Unit for Synergetic Studies of Space, Kyoto University), Hidekatsu Jin(National Institude of Information and Communications Technology), Tatsuhiko Sato(Japan Atomic Energy Agency), Kanya Kusano(Solar-Terrestrial Environment Laboratory, Nagoya University), Hiroko Miyahara(College of Art and Design, Musashino Art University), Takuji Nakamura(National Institute of Polar Research), Kazuo Shiokawa(Solar-Terrestrial Environment Laboratory, Nagoya University), Kiminori Itoh(Graduate School of Engineering, Yokohama National University)

6:15 PM - 7:30 PM

[PEM07-P07] Analyzing the influence of the solar wind on climate during 1900-20014 using correlation maps

*Kiminori ITOH1, Shoh KAWANO1 (1.Yokohama National University)

Keywords:solar wind, temperature, teleconnection pattern, Arctic Oscillation, Pacific Decadal Oscillation

We are examining the relation between geomagnetic disturbance indices (aa index, in particular) and surface temperatures as well as teleconnection patterns (Arctic Oscillation, Pacific Decadal Oscillation, etc.) by using correlation maps (spatial distribution of correlation coefficient) to investigate influence of the solar wind on climate.
Stratification based on the phase of the QBO (Quasi-biennial oscillation at equatorial stratosphere) is essentially important, but reliable data are available only after 1942. There is a report, however, showing QBO phases from 1900 which we utilized here although its reliability may not be very high.
We observed also for the period 1900-2014 that the correlation maps for the aa vs Ts are similar to those for the teleconnection pattern indices vs Ts (cf. Fig. 1). Thus, the solar wind appears to influence on the teleconnection patterns (hence on the climate) throughout the period from 1900. In addition, it was observed that the sign of the correlation changed at around 1930 at the singular spots where high correlation was persistently observed (high negative correlation at central Pacific regions, for instance).