Analysis of meteorological variables in the Australasian region using ground- and space-based GPS techniques

Yuriy Kuleshov, Suelynn Choy, Erjiang Frank Fu, Fabrice Chane-Ming, Yuei An Liou, Alexander G. Pavelyev

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Results of analysis of meteorological variables (temperature and moisture) in the Australasian region using the global positioning system (GPS) radio occultation (RO) and GPS ground-based observations verified with in situ radiosonde (RS) data are presented. The potential of using ground-based GPS observations for retrieving column integrated precipitable water vapour (PWV) over the Australian continent has been demonstrated using the Australian ground-based GPS reference stations network. Using data from the 15 ground-based GPS stations, the state of the atmosphere over Victoria during a significant weather event, the March 2010 Melbourne storm, has been investigated, and it has been shown that the GPS observations has potential for monitoring the movement of a weather front that has sharp moisture contrast. Temperature and moisture variability in the atmosphere over various climatic regions (the Indian and the Pacific Oceans, the Antarctic and Australia) has been examined using satellite-based GPS RO and in situ RS observations. Investigating recent atmospheric temperature trends over Antarctica, the time series of the collocated GPS RO and RS data were examined, and strong cooling in the lower stratosphere and warming through the troposphere over Antarctica has been identified, in agreement with outputs of climate models. With further expansion of the Global Navigation Satellite Systems (GNSS) system, it is expected that GNSS satellite- and ground-based measurements would be able to provide an order of magnitude larger amount of data which in turn could significantly advance weather forecasting services, climate monitoring and analysis in the Australasian region.

Original languageEnglish
Pages (from-to)276-289
Number of pages14
JournalAtmospheric Research
Volume176-177
DOIs
StatePublished - 1 Jul 2016

Keywords

  • Climate
  • Meteorology
  • Moisture
  • Remote sensing
  • Temperature

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