NDLI: Validation of Multilayered Cloud Properties using A-Train Satellite Measurements

Content Provider	IEEE Xplore Digital Library
Author	Yuhong Yi Minnis, P. Jianping Huang Sun-Mack, S. Yan Chen Ayers, K.
Copyright Year	2008
Description	Author affiliation: NASA Langley Res. Center, Hampton, VA (Minnis, P.) \|\| SSAI, Hampton, VA (Yuhong Yi; Sun-Mack, S.; Yan Chen; Ayers, K.) \|\| Coll. of Atmos. Sci., Lanzhou Univ., Lanzhou (Jianping Huang)
Abstract	Multilayered clouds are a common, very important component in the atmosphere, affecting both the radiation budget and hydrological cycles. Accurate characterization of the vertical and horizontal distribution of clouds and their properties is essential for simulating the role of clouds in weather and climate models. Several passive remote sensing methods for retrieving multilayered cloud properties have been developed, but have been difficult to validate due to the lack of observations from active sensors. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite and CloudSat launched in 2006 provide rich information about the vertical structure of clouds. In this study, the Aqua Moderate-Resolution Imaging Spectroradiometer (MODIS) cloud properties derived for the Clouds and the Earth's Radiant Energy System (CERES) Project merged with CALIPSO and CloudSat profile data are used to study an example set of multilayered clouds. Assuming that the lower-layer cloud properties (such as height, temperature, optical depth and liquid water path) are obtained from CloudSat, the properties of the upper cloud layer are retrieved from the multilayer cloud retrieval system (MCRS) and then validated using of the observations from CALIPSO and CloudSat.
File Size	882042
File Format	PDF
ISBN	9781424428076
DOI	10.1109/IGARSS.2008.4780157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clouds Satellites Atmospheric modeling Atmospheric measurements Hydrologic measurements Atmosphere Remote sensing Laser radar MODIS Earth CO2-Slicing Multilayered CERES MODIS CALIPSO CloudSat MCRS
Content Type	Text
Resource Type	Article

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