Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/165412
Title: GPS-derived slant water vapor for cloud monitoring in Singapore
Authors: Heh, Ding Yu
Lee, Yee Hui
Biswas, Anik Naha
Koh, Liang Mong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Heh, D. Y., Lee, Y. H., Biswas, A. N. & Koh, L. M. (2022). GPS-derived slant water vapor for cloud monitoring in Singapore. Remote Sensing, 14(21), 5459-. https://dx.doi.org/10.3390/rs14215459
Project: EMA-EP006-SEETPRGC-001 
Journal: Remote Sensing 
Abstract: This paper presents a GPS-derived slant water vapor technique for cloud monitoring in Singapore. The normalized slant wet delay ((Formula presented.)) and slant water vapor ((Formula presented.)) are introduced. The suitability of the normalized (Formula presented.) over (Formula presented.) for cloud monitoring is demonstrated, as it is not very sensitive to the satellite elevation angle. For better illustration and representation of the spatial distribution of the normalized (Formula presented.), the skyplot is discretized into different cells based on the azimuth and elevation angles to produce the spatial plot. The spatial plots are analyzed for cloud monitoring and compared alongside the sky images. The results show that the spatial plots of normalized (Formula presented.) are generally consistent with the cloud formation observed in the sky images, hence demonstrating their usefulness for cloud monitoring. The probability distribution of the normalized (Formula presented.) associated with cloudy and clear sky conditions is also analyzed, which shows that the mean values of normalized (Formula presented.) associated with the former are higher. Finally, the time series of the normalized (Formula presented.) is explored in relation to the solar irradiance. It is shown that the time series and spatial plots of normalized (Formula presented.) are also consistent with the ratio of clear sky to measured irradiance.
URI: https://hdl.handle.net/10356/165412
ISSN: 2072-4292
DOI: 10.3390/rs14215459
Schools: School of Electrical and Electronic Engineering 
Research Centres: Energy Research Institute @ NTU (ERI@N) 
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
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