JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS08] [EE] 雲降水過程の統合的理解に向けて

2017年5月23日(火) 13:45 〜 15:15 ポスター会場 (国際展示場 7ホール)

コンビーナ:鈴木 健太郎(東京大学大気海洋研究所)、高薮 縁(東京大学 大気海洋研究所)、廣田 渚郎(University of Tokyo)、Tomoki Miyakawa(Atmosphere and Ocean Research Institute University of Tokyo)

[AAS08-P12] Remote Sensing of the Davao atmosphere using GNSS and radiosonde data for 2013-2015

Kristine Mae Rodriguez Carnicer1、*Maria Cecilia Dandan Galvez1Rui M.S. Fernandes2Edgar Amemita Vallar1 (1.Environment and RemoTe sensing ResearcH (EARTH) Laboratory, Physics Department, De La Salle University, Manila、2.Space and Earth Geodetic Analysis Laboratory (SEGAL), University of Beira Interior, Portugal)

キーワード:GNSS, Atmospheric Water vapor, rain events

One GNSS receiver installed at Davao University was utilized to obtain estimates of the atmospheric water vapor content in Davao City for the years 2013-2015. The datasets from the local radiosonde station was used to verify the measured GNSS-derived precipitable water vapor (PWV) and a significantly strong correlation (R=0.871) was calculated. The parameter water vapor weighted mean temperature, Tm is a significant factor in deriving PWV values from GNSS satellite data. A local Tm model utilizing the datasets from the Davao City radiosonde station was derived and validated by comparison to the global and regional models. Time series plots were made out of the calculated GNSS PWV values for the years 2013, 2014 and 2015 to test for any annual, seasonal and monthly variations. Results from analysis of variance (ANOVA) with post-hoc tests showed that significant differences were measured in the PWV means for the three years tested. There were also significant differences in the PWV averages for the dry and wet season as well as between the cool dry, hot dry and wet seasons. The results for the monthly variations agree well with the wet and dry seasons with the month of February (2013-2015) getting the lowest average monthly value of GNSS PWV and the months of May (2013, 2015) and June (2014) the highest. The temporal behavior of GNSS PWV was also evaluated for moderate to torrential rain events. It was shown that while moderate rain follows small variations in PWV, heavy torrential rains usually follow a peak in the PWV value with a time lag ranging from 2 – 8 hours.