Literature DB >> 29576993

New Insights about Cloud Vertical Structure from CloudSat and CALIPSO observations.

Lazaros Oreopoulos1, Nayeong Cho2,1, Dongmin Lee3,1.   

Abstract

Active cloud observations from A-Train's CloudSat and CALIPSO satellites offer new opportunities to examine the vertical structure of hydrometeor layers. We use the 2B-CLDCLASS-LIDAR merged CloudSat-CALIPSO product to examine global aspects of hydrometeor vertical stratification. We group the data into major Cloud Vertical Structure (CVS) classes based on our interpretation of how clouds in three standard atmospheric layers overlap, and provide their global frequency of occurrence. The two most frequent CVS classes are single-layer (per our definition) low and high clouds which represent ~53% of cloudy skies, followed by high clouds overlying low clouds, and vertically extensive clouds that occupy near-contiguously a large portion of the troposphere. The prevalence of these configurations changes seasonally and geographically, between daytime and nighttime, and between continents and oceans. The radiative effects of the CVS classes reveal the major radiative warmers and coolers from the perspective of the planet as a whole, the surface, and the atmosphere. Single-layer low clouds dominate planetary and atmospheric cooling, and thermal infrared surface warming. We also investigate the consistency between passive and active views of clouds by providing the CVS breakdowns of MODIS cloud regimes for spatiotemporally coincident MODIS-Aqua (also on the A-Train) and CloudSat-CALIPSO daytime observations. When the analysis is expanded for a more in-depth look at the most heterogeneous of the MODIS cloud regimes, it ultimately confirms previous interpretations of their makeup that did not have the benefit of collocated active observations.

Year:  2017        PMID: 29576993      PMCID: PMC5863737          DOI: 10.1002/2017JD026629

Source DB:  PubMed          Journal:  J Geophys Res Atmos        ISSN: 2169-897X            Impact factor:   4.261


  2 in total

1.  Contrasting the co-variability of daytime cloud and precipitation over tropical land and ocean.

Authors:  Daeho Jin; Lazaros Oreopoulos; Dongmin Lee; Nayeong Cho; Jackson Tan
Journal:  Atmos Chem Phys       Date:  2018-03-02       Impact factor: 6.133

2.  Combining In Situ and Satellite Observations to Understand the Vertical Structure of Tropical Anvil Cloud Microphysical Properties During the TC4 Experiment.

Authors:  Qing Yue; Jonathan H Jiang; Andrew Heymsfield; Kuo-Nan Liou; Yu Gu; Arushi Sinha
Journal:  Earth Space Sci       Date:  2020-04-05       Impact factor: 2.900

  2 in total

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