Changes in Sea-Level Pressure over South Korea Associated with High-Speed Solar Wind Events

TL;DR

This study investigates the response of South Korea's daily sea-level pressure to high-speed solar wind events, revealing a significant correlation and a measurable pressure deviation following such solar activity.

Contribution

It provides the first statistical evidence of sea-level pressure response to high-speed solar wind events in South Korea, with detailed analysis of the timing and correlation.

Findings

Peak pressure deviation occurs at day +1 after solar wind event

Positive deviation of +2.5 hPa in sea-level pressure

Strong correlation coefficients (~0.81-0.84) with solar wind speed and magnetic field variables

Abstract

We explore a possibility that the daily sea-level pressure (SLP) over South Korea responds to the high-speed solar wind event. This is of interest in two aspects: First, if there is a statistical association this can be another piece of evidence showing that various meteorological observables indeed respond to variations in the interplanetary environment. Second, this can be a very crucial observational constraint since most models proposed so far are expected to preferentially work in higher latitude regions than the low latitude region studied here. We have examined daily solar wind speed ${\rm V}$, daily SLP difference ${\rm \Delta SLP}$, and daily ${\rm \log(BV^{2})}$ using the superposed epoch analysis in which the key date is set such that the daily solar wind speed exceeds 800 ${\rm kms^{-1}}$. We find that the daily ${\rm \Delta SLP}$ averaged out of 12 events reaches its peak at day +1 and gradually decreases back to its normal level. The amount of positive deviation of ${\rm \Delta SLP}$ is +2.5 hPa. The duration of deviation is a few days. We also find that ${\rm \Delta SLP}$ is well correlated with both the speed of solar wind and ${\rm \log(BV^{2})}$. The obtained linear correlation coefficients and chance probabilities with one-day lag for two cases are $r \simeq 0.81$ with $P> 99.9%$, and $r \simeq 0.84$ with $P> 99.9%$, respectively. We conclude by briefly discussing future direction to pursue.