Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/21737

Title: Validation of MODIS integrated water vapor product against reference GPS data at the Iberian Peninsula
Authors: Vaquero-Martínez, Javier
Antón, Manuel
Ortiz de Galisteo, José Pablo
Cachorro, Victoria E.
Costa, Maria João
Román, Roberto
Bennounah, Yasmine S.
Keywords: MODIS
Water vapor
validation
GPS
Satellite
Issue Date: Dec-2017
Publisher: Elsevier
Citation: Vaquero-Martínez, J., M. Antón, J. P. O. de Galisteo, V. E. Cachorro, M. J. Costa, Román, Y. S. Bennouna, 2017, Validation of MODIS integrated water vapor product against reference GPS data at the Iberian Peninsula. International Journal of Applied Earth Observation and Geoinformation. Volume 63, December 2017, Pages 214-221. https://doi.org/10.1016/j.jag.2017.07.008.
Abstract: In this work, the water vapor product from MODIS (MODerate-resolution Imaging Spectroradiometer) instrument, on-board Aqua and Terra satellites, is compared against GPS water vapor data from 21 stations in the Iberian Peninsula as reference. GPS water vapor data is obtained from ground-based receiver stations which measure the delay caused by water vapor in the GPS microwave signals. The study period extends from 2007 until 2012. Regression analysis in every GPS station show that MODIS overestimates low integrated water vapor (IWV) data and tends to underestimate high IWV data. R2 shows a fair agreement, between 0.38 and 0.71. Interquartile range (IQR) in every station is around 30–45%. The dependence on several parameters was also analyzed. IWV dependence showed that low IWV are highly overestimated by MODIS, with high IQR (low precision), sharply decreasing as IWV increases. Regarding dependence on solar zenith angle (SZA), performance of MODIS IWV data decreases between 50° and 90°, while night-time MODIS data (infrared) are quite stable. The seasonal cycles of IWV and SZA cause a seasonal dependence on MODIS performance. In summer and winter, MODIS IWV tends to overestimate the reference IWV value, while in spring and autumn the tendency is to underestimate. Low IWV from coastal stations is highly overestimated (∼60%) and quite imprecise (IQR around 60%). On the contrary, high IWV data show very little dependence along seasons. Cloud-fraction (CF) dependence was also studied, showing that clouds display a negligible impact on IWV over/underestimation. However, IQR increases with CF, except in night-time satellite values, which are quite stable.
URI: http://www.sciencedirect.com/science/article/pii/S0303243417301472
http://hdl.handle.net/10174/21737
Type: article
Appears in Collections:FIS - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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