發(fā)布時間：2018-06-24 16:17

  本文選題：對流層延遲 + 可降水量��； 參考：《大地測量與地球動力學(xué)》2017年08期

【摘要】：利用臺灣桃園(TWTF)站氣象數(shù)據(jù)和對流層延遲數(shù)據(jù)開展可降水量和對流層延遲序列的相關(guān)性分析,顯示兩者存在顯著正相關(guān)特性。利用回歸分析建立季節(jié)和全年轉(zhuǎn)換模型,并利用各季節(jié)降水和無降水期間的數(shù)據(jù)對模型進(jìn)行檢驗(yàn)。結(jié)果顯示,各季節(jié)GNSS可降水量與線性回歸可降水量的RMS值小于1.5mm,最大誤差不超過3.3mm,滿足GNSS氣象學(xué)的基本要求。
[Abstract]:Based on the meteorological data and tropospheric delay data of Taiwan Taoyuan (TWTF) station, the correlation analysis of precipitable water and tropospheric delay series shows that there is a significant positive correlation between them. The seasonal and annual transition models were established by regression analysis, and the models were tested by the data of precipitation and non-precipitation periods. The results show that the RMS values of GNSS precipitable water and linear regression precipitable water are less than 1.5 mm and the maximum error is less than 3.3 mm, which meets the basic requirements of GNSS meteorology.
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本文編號：2062127