16 October 2015 Comparing different methods to retrieve cloud top height from Meteosat satellite data
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Cloud parameters such as the Cloud Top Height (CTH), Cloud Top Temperature (CTT), emissivity, particle size and optical depth have always been matter of interest for the atmospheric community. Particularly the CTH provides information leading to better understand the cloud radiative effects. Although there are many meteorological satellites providing the CTH, there are other sensors, not devoted to this purpose, that give some information from which this crucial parameter can be estimated. In this contribution we will describe three different methodologies to retrieve the CTH. The first technique is based on stereo-vision algorithms and requires two different views of the same scene and does not need of extra atmospheric information. In the second one, brightness temperatures in two IR spectral bands are converted to real cloud temperature by means of the proposed algorithms. From the CTT, the CTH is estimated using temperature vertical profiles (measured or modeled). The third technique retrieves the CTH from the output parameters of post event simulations performed by a Numerical Weather Prediction (NWP) model that in this work will be the mesoscale model WRF (Weather Research Forecast). This article presents a preliminary work, in which the heights retrieved by the three methodologies applied to the geostationary satellite Meteosat 10 are compared with the heights given by MODIS sensor installed on the polar satellite AQUA. This promising results show that valuable information about CTH can be retrieved from Meteosat which provide high frequency and large scale data useful for weather and climate research.
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I. Tabone, I. Tabone, S. Briz, S. Briz, A. Anzalone, A. Anzalone, A. J. De Castro, A. J. De Castro, F. Lopez, F. Lopez, S. Ferrarese, S. Ferrarese, F. Isgrò, F. Isgrò, C. Cassardo, C. Cassardo, R. Cremonini, R. Cremonini, M. Bertaina, M. Bertaina, } "Comparing different methods to retrieve cloud top height from Meteosat satellite data", Proc. SPIE 9640, Remote Sensing of Clouds and the Atmosphere XX, 96400C (16 October 2015); doi: 10.1117/12.2195012; https://doi.org/10.1117/12.2195012

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