Availability of precipitable water retrieval using split-window data

Makoto Kuji; Itaru Okada; Akihiro Uchiyama; Tamio Takamura

doi:10.1117/12.466537

16 June 2003 Availability of precipitable water retrieval using split-window data

Makoto Kuji, Itaru Okada, Akihiro Uchiyama, Tamio Takamura

Proceedings Volume 4895, Applications with Weather Satellites; (2003) https://doi.org/10.1117/12.466537
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Water vapor is one of the most significant green house effect gases. A monitoring of water vapor behavior with operational satellite is important to investigate the global changes. Water vapor usually exists at lower troposphere. However, precipitable water is a key property to comprehend the variation since sometimes humid air mass moves to the upper troposphere. Using split window channel data with optical sensors such as AVHRR and VISSR, several retrieval algorithm has been proposed and among them, transmittance ratio method has been often utilized. However, the approach is still controversial because some studies concluded it was available and others not. We investigated the availability of the method with split window channels' data of GMS-5/VISSR on a semi-continental scale. A calibration curve of the precipitable water with radiosonde observation had been made in course of the retrieval procedure. However, the calibration curve are hardly sensitive to the precipitable water. Numerical simulations were carried out for the possible condition, and it turned out that calibration was insensitive to precipitable water under some condition at all: larger water water variation for a given surface temperature range within a given region. The results of a feasibility study will be discussed.

Citation Download Citation

Makoto Kuji, Itaru Okada, Akihiro Uchiyama, and Tamio Takamura "Availability of precipitable water retrieval using split-window data", Proc. SPIE 4895, Applications with Weather Satellites, (16 June 2003); https://doi.org/10.1117/12.466537

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