2016
DOI: 10.1175/jtech-d-15-0237.1
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Estimating Confidence Intervals around Relative Humidity Profiles from Satellite Observations: Application to the SAPHIR Sounder

Abstract: To cite this version:Hélène Brogniez, Renaud Fallourd, Cécile Mallet, Ramses Sivira, Christophe Dufour. Estimating confidence intervals around relative humidity profiles from satellite observations: Application to the SAPHIR sounder. Journal of Atmospheric and Oceanic Technology, American Meteorological Society, 2016, 33 (5) ABSTRACT A novel scheme for the estimation of layer-averaged relative humidity (RH) profiles from spaceborne observations in the 183.31-GHz line is presented. Named atmospheric relative h… Show more

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Cited by 20 publications
(35 citation statements)
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“…We use water vapor retrievals from a multivariate regression scheme that provides the parameters of conditional distributions chosen a priori (Brogniez et al 2016). Compared to the relative humidity estimation scheme described by Brogniez et al (2016), which relied on a normal (Gaussian) distribution, here a Beta distribution is used as its compact support and allowance for asymmetries about the mean are more favorable for describing the relative humidity.…”
Section: Saphir and Megha-tropiquesmentioning
confidence: 99%
See 1 more Smart Citation
“…We use water vapor retrievals from a multivariate regression scheme that provides the parameters of conditional distributions chosen a priori (Brogniez et al 2016). Compared to the relative humidity estimation scheme described by Brogniez et al (2016), which relied on a normal (Gaussian) distribution, here a Beta distribution is used as its compact support and allowance for asymmetries about the mean are more favorable for describing the relative humidity.…”
Section: Saphir and Megha-tropiquesmentioning
confidence: 99%
“…Compared to the relative humidity estimation scheme described by Brogniez et al (2016), which relied on a normal (Gaussian) distribution, here a Beta distribution is used as its compact support and allowance for asymmetries about the mean are more favorable for describing the relative humidity. The estimation of parameters also provides a characterization of the retrieval uncertainty for every observing pixel of SAPHIR.…”
Section: Saphir and Megha-tropiquesmentioning
confidence: 99%
“…Over the past decades, development of satellite sensors has resulted in multiple sources of meteorological datasets, such as precipitation [23,24], land surface temperature [25,26], relative humidity [27,28] etc., that provide more reliable estimations over un-gauged areas compared with other interpolation methods. However, their spatial resolutions (i.e., 0.25-0.5 • ) are still too coarse for hydrological simulation and environmental modeling when applied to local basins and regions.…”
Section: Downscaling Methodsmentioning
confidence: 99%
“…In this work, we used the layer-averaged RH (six layers distributed between 100 and 950 hPa) derived by Brogniez et al (2016), which is available for the period October 2011-present. In this study, the authors adopted a purely statistical technique to retrieve for each atmospheric layer the full distribution of RH from the space-borne observations of the upwelling radiation and training RH data derived from radiosonde profiles.…”
Section: Saphirmentioning
confidence: 99%
“…the surface emissivity, temperature profile, and a prior for RH profiles for brightness temperature simulations). Figure 1a shows an example for each atmospheric layer of the mean of the retrieved RH distribution, derived as detailed in Brogniez et al (2016).…”
Section: Saphirmentioning
confidence: 99%