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Journal of Oceanography

, Volume 49, Issue 5, pp 551–558 | Cite as

A statistical method to get surface level air-temperature from satellite observations of precipitable water

  • Pankajakshan Thadathil
  • Akira Shikauchi
  • Yasuhiro Sugimori
  • Masahisa Kubota
Article

Abstract

Ten-day mean surface level air-temperature from SSMI precipitable water (SSMI-T a ) has been derived and compared with the temperature from two ocean data buoys (Buoy-T a ) of Japan Meteorological Agency (JMA) for a period of six months (July–December, 1988). Statistical relations between air-temperature and mixing ratio, using data from ocean data buoys are used to derive air-temperature from mixing ratio, obtained from SSMI precipitable water. For getting the mixing ratio from precipitable water, regional mixing ratio-precipitable water relations have been used, instead of global relation proposed by Liu (1986). The rms errors (standard deviation of the difference between SSMI-T a and Buoy-T a ) for two buoy locations are found to be 1.15 and 1.12°C, respectively. Surface level temperature for the two buoy locations are also derived using direct regression relation between Buoy-T a and precipitable water. The rms errors of the SSMI-T a , in this case are found to be reduced to 1.0°C.

Keywords

Standard Deviation Japan Statistical Method Water Relation Statistical Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Journal of the Oceanographic Society of Japan 1993

Authors and Affiliations

  • Pankajakshan Thadathil
    • 1
  • Akira Shikauchi
    • 1
  • Yasuhiro Sugimori
    • 1
  • Masahisa Kubota
    • 1
  1. 1.School of Marine Science and TechnologyTokai UniversityShimizu, ShizuokaJapan

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