GOSAT TANSO FTS TIR band calibration: a five year review

Gero, P. Jonathan; Knuteson, Robert O.; Shiomi, Kei; Kataoka, Fumie; Revercomb, Henry E.; Tobin, David C.; Taylor, Joe K.; Best, F. A.

doi:10.1117/12.2069327

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“…Simultaneous studies showed that the slicing estimates the CTH to be lower (higher) especially for optically thick clouds if the negative (positive) systematic biases are included for entire channels (not shown in figure). Gero et al (2014) reported that TIR spectra from GOSAT have a slight bias compared with the Atmospheric Infrared Sounder (AIRS) and the Infrared Atmospheric Sounding Interferometer (IASI). Especially the comparison with IASI in the cold region revealed large errors.…”

Section: Discussionmentioning

confidence: 99%

A development of cloud top height retrieval using thermal infrared spectra observed with GOSAT and comparison with CALIPSO data

et al. 2016

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Abstract. An algorithm based on CO 2 slicing, which has been used for cirrus cloud detection using thermal infrared data, was developed for high-resolution radiance spectra from satellites. The channels were reconstructed based on sensitivity height information of the original spectral channels to reduce the effects of measurement errors. Selection of the reconstructed channel pairs was optimized for several atmospheric profile patterns using simultaneous studies assuming a cloudy sky. That algorithm was applied to data by the Greenhouse gases Observing SATellite (GOSAT). Results were compared with those obtained from the space-borne lidar instrument on-board CloudAerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). Monthly mean cloud amounts from the slicing generally agreed with those from CALIPSO observations despite some differences caused by surface temperature biases, optically very thin cirrus, multilayer structures of clouds, extremely low cloud tops, and specific atmospheric conditions. Comparison of coincident data showed good agreement, except for some cases, and revealed that the improved slicing method is more accurate than the traditional slicing method. Results also imply that improved slicing can detect lowlevel clouds with cloud top heights as low as approximately 1.5 km.

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Section: Discussionmentioning

confidence: 99%