A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area

Li Zhao-Liang, L. Jia, Z. Su, Wan Zhengming, Zhang Renhua

Research output: Contribution to journalArticleAcademicpeer-review

69 Citations (Scopus)

Abstract

This paper presents a new algorithm to determine quantitatively column water vapour content ( W ) directly from ATSR2 (Along-Track Scanner Radiometer) Split-Window radiance measurements. First, the Split-Window Covariance-Variance Ratio (SWCVR) method is reviewed. The assumptions made to derive this method are highlighted and its applicability is discussed. Then, an operational use of this method is developed and applied to several ATSR2 datasets. The water vapour contents retrieved using ATSR2 data from SGP'97 (USA), Barrax (Spain) and Cabauw (The Netherlands) are in good agreement with those measured by the quasi-simultaneous radiosonde. The mean and the standard deviation of their difference are 0.04 g cm -2 and 0.22 g cm -2 , respectively. It is shown that water vapour content derived from ATSR2 data using the proposed algorithm is accurate enough in most cases for surface temperature determination with a split-window technique using ATSR2 data and for atmospheric corrections in visible and near-infrared channels of ATSR2.
Original languageEnglish
Pages (from-to)5095-5117
JournalInternational Journal of Remote Sensing
Volume24
Issue number24
DOIs
Publication statusPublished - 2003

Keywords

  • avhrr data
  • radiance measurements
  • surface temperatures
  • noaa satellite
  • solar spectrum
  • vapor content
  • tiros-n
  • absorption
  • emissivity
  • oceans

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