Geostationary satellite observation of precipitable water vapor using an Empirical Orthogonal Function (EOF) based reconstruction technique over eastern China

Man Sing Wong, Xiaomeng Jin, Zhizhao Liu, Janet Elizabeth Nichol, Shirong Ye, Peng Jiang, Pak Wai Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


Water vapor, as one of the most important greenhouse gases, is crucial for both climate and atmospheric studies. Considering the high spatial and temporal variations of water vapor, a timely and accurate retrieval of precipitable water vapor (PWV) is urgently needed, but has long been constrained by data availability. Our study derived the vertically integrated precipitable water vapor over eastern China using Multi-functional Transport Satellite (MTSAT) data, which is in geostationary orbit with high temporal resolution. The missing pixels caused by cloud contamination were reconstructed using an Empirical Orthogonal Function (EOF) decomposition method over both spatial and temporal dimensions. GPS meteorology data were used to validate the retrieval and the reconstructed results. The diurnal variation of PWV over eastern China was analyzed using harmonic analysis, which indicates that the reconstructed PWV data can depict the diurnal cycle of PWV caused by evapotranspiration and local thermal circulation.
Original languageEnglish
Pages (from-to)5879-5900
Number of pages22
JournalRemote Sensing
Issue number5
Publication statusPublished - 1 Jan 2015


  • Diurnal cycle
  • Empirical orthogonal function
  • Geostationary satellite
  • Precipitable water vapor

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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