2018/07/11 by Kiminori Itoh, Shinya Matsuo, Itoh, Kiminori +7
Computer Science · Environmental Science · #Atmospheric aerosols and clouds #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Physical sciences #Geophysics (physics.geo-ph) #Solar Radiation and Photovoltaics
paper · pdf · doi:10.48550/arxiv.1807.03976
openalex publication_date 2018/07/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Evaluating the magnitude of natural climate variations is important because it can greatly affect future climate policies. As an example, we examine the influence of changes in solar activity (solar wind in particular) on surface temperatures (Ts) and major teleconnection patterns such as the Arctic Oscillation and Pacific Decadal Oscillation. We compared correlation maps (spatial distribution of correlation coefficient) for a combination of Ts and a geomagnetic index (aa, an indicator of solar wind strength) and a combination of Ts and the teleconnection patterns. The phase of the quasi-biennial oscillation of the equatorial zonal wind and magnitude of sunspot number were considered. As a result, we found that the influence of the solar wind is as strong as that of the teleconnection patterns and hence, the former appears to affect the climate via the latter. It was also found that both the solar wind and ultraviolet change should be considered to explain the influence of solar activity variability, i.e., a multi-pathway scheme is necessary.