Skip to main navigation Skip to search Skip to main content

基于北斗/GNSS的中国-中南半岛地区大气水汽气候特征及同降水的相关分析

Translated title of the contribution: Atmospheric water vapor climatological characteristics over Indo-China region based on BeiDou/GNSS and relationships with precipitation
  • Chuang Shi
  • , Weixing Zhang*
  • , Yunchang Cao
  • , Yidong Lou
  • , Hong Liang
  • , Lei Fan
  • , C. Satirapod
  • , C. Trakolkul
  • *Corresponding author for this work
  • Wuhan University
  • China Meteorological Administration
  • Chulalongkorn University

Research output: Contribution to journalArticlepeer-review

Abstract

The historical BeiDou/GNSS observations from 2006 to 2016 at stations over Indo-China region were reprocessed with consistent models and strategies. Precipitable water vapor (PWV) products were then retrieved, and were used to study the atmospheric water vapor climatological characteristics over Indo-China region, including the average PWV, PWV annual amplitudes and PWV semi-annual amplitudes. The climatological characteristics of the PWV are found to be mainly affected by the station latitude, station altitude and the monsoon system in this region. Relationship between PWV and precipitation were explored in the study region. A clear correlation is found and the correlation coefficient (R) generally decreases with the station latitude where R can reach 0.8 in Yunnan Province while decrease to about 0.2 in the southern Thailand region close to the equator. In addition, PWV and precipitation monthly anomaly also show weak positive correlation in this region with R of about 0.2~0.4.

Translated title of the contributionAtmospheric water vapor climatological characteristics over Indo-China region based on BeiDou/GNSS and relationships with precipitation
Original languageChinese (Traditional)
Pages (from-to)1112-1119
Number of pages8
JournalCehui Xuebao/Acta Geodaetica et Cartographica Sinica
Volume49
Issue number9
DOIs
StatePublished - 1 Sep 2020

Fingerprint

Dive into the research topics of 'Atmospheric water vapor climatological characteristics over Indo-China region based on BeiDou/GNSS and relationships with precipitation'. Together they form a unique fingerprint.

Cite this