Next Article in Journal
Evaluating Different Methods for Grass Nutrient Estimation from Canopy Hyperspectral Reflectance
Previous Article in Journal
Mapping Annual Precipitation across Mainland China in the Period 2001–2010 from TRMM3B43 Product Using Spatial Downscaling Approach
Open AccessArticle

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
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Remote Sens. 2015, 7(5), 5879-5900; https://doi.org/10.3390/rs70505879
Received: 24 November 2014 / Revised: 30 March 2015 / Accepted: 20 April 2015 / Published: 8 May 2015
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
Show Figures

Figure 1

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.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop