Dynamical features of GPS PWV variation associated with lightning activity
Autor: | Mohd Alauddin Mohd Ali, Ja’afar Adnan, Wayan Suparta |
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Rok vydání: | 2016 |
Předmět: |
010504 meteorology & atmospheric sciences
Precipitable water Meteorology business.industry 010502 geochemistry & geophysics Atmospheric sciences GPS signals 01 natural sciences Lightning Troposphere Warm front Global Positioning System General Earth and Planetary Sciences Environmental science Relative humidity business Water vapor 0105 earth and related environmental sciences |
Zdroj: | International Journal of Remote Sensing. 37:1376-1390 |
ISSN: | 1366-5901 0143-1161 |
DOI: | 10.1080/01431161.2016.1151571 |
Popis: | Water vapour is one component that causes spatial and temporal fluctuations in the lower atmosphere, which, in turn, introduce time delays into the global positioning system GPS signal. These delays can be exploited to estimate the precipitable water vapour PWV, which is beneficial for meteorological applications. Because the vertical transfer of warm air to the troposphere triggers instability and atmospheric charges, lightning phenomena can fundamentally affect the GPS signals through changes in water vapour. From this hypothesis, GPS-derived PWV data have been proposed as a tool for monitoring lightning activity. In this paper, the variation of PWV in days with lightning at four selected stations in Peninsular Malaysia during the past two inter-monsoon events in May and November 2009 was observed. To verify the response, a peak alignment method was proposed with regard to the lightning with more than 100 discharge events and lightning days from 07:00 to 20:00 LT. A total of 66 lightning series were assessed, and PWV was observed to increase by approximately 2.46 mm and decrease by 4.16 mm before and after the peak point, respectively, when compared to fair-weather conditions. Approximately 62% of the lightning start times were concentrated within a period of less than 1 h before or after the PWV reached a maximum peak, 24% were observed between 1–2 h, and 14% started after 2 h. This trend implies that the use of GPS PWV data was more consistent and robust for the detection of lightning activity compared to the use of surface temperature and relative humidity data. |
Databáze: | OpenAIRE |
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