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Remote Sens. 2015, 7(5), 5879-5900; doi:10.3390/rs70505879

Geostationary Satellite Observation of Precipitable Water Vapor Using an Empirical Orthogonal Function (EOF) based Reconstruction Technique over Eastern China

1
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
2
Center for Sustainability and Global Environment, Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, WI 53726, USA
3
GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
4
Hong Kong Observatory, Kowloon, Hong Kong
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Received: 24 November 2014 / Revised: 30 March 2015 / Accepted: 20 April 2015 / Published: 8 May 2015
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Abstract

Water vapor, as one of the most important greenhouse gases, is crucial for both climate and atmospheric studies. Considering the high spatial and temporal variations of water vapor, a timely and accurate retrieval of precipitable water vapor (PWV) is urgently needed, but has long been constrained by data availability. Our study derived the vertically integrated precipitable water vapor over eastern China using Multi-functional Transport Satellite (MTSAT) data, which is in geostationary orbit with high temporal resolution. The missing pixels caused by cloud contamination were reconstructed using an Empirical Orthogonal Function (EOF) decomposition method over both spatial and temporal dimensions. GPS meteorology data were used to validate the retrieval and the reconstructed results. The diurnal variation of PWV over eastern China was analyzed using harmonic analysis, which indicates that the reconstructed PWV data can depict the diurnal cycle of PWV caused by evapotranspiration and local thermal circulation. View Full-Text
Keywords: empirical orthogonal function; diurnal cycle; geostationary satellite; precipitable water vapor empirical orthogonal function; diurnal cycle; geostationary satellite; precipitable water vapor
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wong, M.S.; Jin, X.; Liu, Z.; Nichol, J.E.; Ye, S.; Jiang, P.; Chan, P.W. Geostationary Satellite Observation of Precipitable Water Vapor Using an Empirical Orthogonal Function (EOF) based Reconstruction Technique over Eastern China. Remote Sens. 2015, 7, 5879-5900.

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