Observations of Antarctic precipitable water vapor and its response to the solar activity based on GPS sensing

Details Observations of Antarctic precipitable water vapor and its response to the solar activity based on GPS sensing Observations of Antarctic precipitable water vapor and its response to the solar activity based on GPS sensing

Aug 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008jastp..70.1419s&link_type=abstract

Journal of Atmospheric and Solar-Terrestrial Physics, Volume 70, Issue 11-12, p. 1419-1447.

Physics

3

Solar Events, Gps Meteorology, Pwv-Tec, Antarctica

Scientific paper

Predicting global climate change is a great challenge and must be based on a thorough understanding of how the climate system components behave. Precipitable water vapor (PWV) is one of the key components in determining and predicting the global climate system. It is well known that the local surface temperature and pressure have a direct influence on the production of PWV. However, the influence of solar activity on atmospheric dynamics and their physical mechanisms is still an open debate, where past studies are focused at mid-latitude regions. A new method of determining and quantifying the solar influence on PWV based on GPS observations to correlate the GPS PWV and total electron content (TEC) variations is proposed. Observed data from Scott Base (SBA) and McMurdo (MCM) stations from 2003 to 2005 have been used to study the response of PWV to solar activity. In the analysis, the effects of local conditions (wind speed and relative humidity) on the distribution of PWV are investigated. Results show significant correlation between PWV and solar activity for four geomagnetic storms, with correlation coefficients of 0.74, 0.77, 0.64 and 0.69, which are all significant at the 95% confidence level. There was no significant correlation between TEC and PWV changes during the absence of storms. On a monthly analysis, a strong relationship exists between PWV and TEC during storm-affected days, with correlation coefficients of 0.83 and 0.89 (99% confidence level) for SBA and MCM respectively. These indicate a statistically significant seasonal signal in the Antarctic region, which is very active (higher) during the summer and inactive (lower) for the winter periods.

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