A statistical method to get surface level air-temperature from satellite observations of precipitable water |
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| Authors: | Pankajakshan Thadathil Akira Shikauchi Yasuhiro Sugimori Masahisa Kubota |
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| Institution: | (1) School of Marine Science and Technology, Tokai University, 424 Shimizu, Shizuoka, Japan;(2) Present address: National Institute of Oceanography, Dona Paula, Goa, India |
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| 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. |
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| Keywords: | |
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