Remote sensing of total precipitable water over the South China Sea from multi-channel infrared data of FY-4A/AGRI

Jian-jun Shi; Shi-zhi Yang; Lu Han; Wen-qiang Lu

doi:10.1117/12.2563291

17 April 2020 Remote sensing of total precipitable water over the South China Sea from multi-channel infrared data of FY-4A/AGRI

Jian-jun Shi, Shi-zhi Yang, Lu Han, Wen-qiang Lu

Author Affiliations +

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 114551W (2020) https://doi.org/10.1117/12.2563291
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

A new empirical formula is established to retrieve Total Precipitable Water(TPW) over South China Sea by using multichannel infrared data of Advanced Geostationary Radiation Imager(AGRI). The new formula has a better result compared with other split-window statistical retrieval technique. The preliminary verification results show that the retrieval results is good correlated with AIRS L2 V6 TPW products with root mean square error of 0.6 cm and with mean relative error of 4.7%. Finally, 227 sets of bank-based sounding data are used to verify the retrieval results for the whole year from March 2018 to April 2019. The determination coefficient is 0.7063 and the root mean square error is 0.63 cm. The results show that the proposed statistical retrieval formula is suitable for multi-channel infrared data of FY-4A/AGRI to retrieve the TPW over the South China Sea.

Citation Download Citation

Jian-jun Shi, Shi-zhi Yang, Lu Han, and Wen-qiang Lu "Remote sensing of total precipitable water over the South China Sea from multi-channel infrared data of FY-4A/AGRI", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 114551W (17 April 2020); https://doi.org/10.1117/12.2563291

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KEYWORDS

Infrared radiation

MODIS

Satellites

Remote sensing

Infrared imaging

Transmittance

Spatial resolution

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