Space weather relation with air temperature and atmospheric pressure in Kaunas

Solar activity in the form of geomagnetic activity and other space weathers conditions affect the Earth’s middle and upper atmosphere. It is possible that space weather conditions affect the air temperature (T) and atmospheric pressure (AP) in Lithuania. The main goal of this research is to analyze...

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Bibliographic Details
Main Authors: Kiznys, Deividas, Venclovienė, Jonė
Format: Conference Object
Language:English
Published: 2018
Subjects:
Online Access:http://vdu.lvb.lt/VDU:ELABAPDB31412308&prefLang=en_US
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Summary:Solar activity in the form of geomagnetic activity and other space weathers conditions affect the Earth’s middle and upper atmosphere. It is possible that space weather conditions affect the air temperature (T) and atmospheric pressure (AP) in Lithuania. The main goal of this research is to analyze relations between North Atlantic Oscillation (NAO), space weather and meteorological parameters. In this research, we analyzed Kaunas meteorological parameters of the 2006-2016 period. Data analysis was performed using multivariate linear regression. Associations between T, AP, NAO index (NAOI), and space weather variables are presented as regression coefficients β in the multivariate model per increase of 1 for NAOI, 100km/s for solar wind speed (SW), 10000K for plasma temperature (PT), 1nT for interplanetary magnetic field vector axis (Bz and By), 1n/cc for proton density. Proton flow > 10 MeV (PF10), solar activity index F10.7 and Kp index also were used. Data used in this research were collected from open source websites (wunderground.com, omniweb.gsfc.nasa.gov). During winter, daily mean and minimal air temperature associated with NAOI on the same day (respectively, β = 1.09; p = .002 and β = 1.13; p = .006), NAOI 2 days after (respectively, β = 1.5; p < .001 and β = 1.86; p < .001), and solar wind speed (respectively, β = 0.4, p = .006, β = 0.4, p = .018). Atmospheric pressure negatively correlated with F10.7 with lag of 1-2 days (β = -.05; p < .001). During spring, mean daily T was associated with Dst with a lag of 2 day (β = .02; p = .048) and with By on the same day (β = -.1; p = .032). Minimal daily T was negatively associated with PF10>50 (β = -3.22; p = .012) and positively with NAOI with lag of 2 days (β = 1.3; p = .012). NAOI was associated with an increased mean of AP (β = 1.78; p = .011). Maximal AP is positively correlated with lag of 2 days (β = .28; p = .004). [.]