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    Improving the Simulation of Tropical Convective Cloud-Top Heights in CAM5 with CloudSat Observations

    Source: Journal of Climate:;2018:;volume 031:;issue 013::page 5189
    Author:
    Wang, Mingcheng
    ,
    Zhang, Guang J.
    DOI: 10.1175/JCLI-D-18-0027.1
    Publisher: American Meteorological Society
    Abstract: AbstractUsing 4 years of CloudSat data, the simulation of tropical convective cloud-top heights (CCTH) above 6 km simulated by the convection scheme in the Community Atmosphere Model, version 5 (CAM5), is evaluated. Compared to CloudSat observations, CAM5 underestimates CCTH by more than 2 km on average. Further analysis of model results suggests that the dilute CAPE calculation, which has been incorporated into the convective parameterization since CAM4, is a main factor restricting CCTH to much lower levels. After removing this restriction, more convective clouds develop into higher altitudes, although convective clouds with tops above 12 km are still underestimated significantly. The environmental conditions under which convection develops in CAM5 are compared with CloudSat observations for convection with similar CCTHs. It is shown that the model atmosphere is much more unstable compared to CloudSat observations, and there is too much entrainment in CAM5. Since CCTHs are closely associated with cloud radiative forcing, the impacts of CCTH on model simulation are further investigated. Results show that the change of CCTH has important impacts on cloud radiative forcing and precipitation. With increased CCTHs, there is more cloud radiative forcing in tropical Africa and the eastern Pacific, but less cloud radiative forcing in the western Pacific. The contribution to total convective precipitation from convection with cloud tops above 9 km is also increased substantially.
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      Improving the Simulation of Tropical Convective Cloud-Top Heights in CAM5 with CloudSat Observations

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    contributor authorWang, Mingcheng
    contributor authorZhang, Guang J.
    date accessioned2019-09-19T10:01:19Z
    date available2019-09-19T10:01:19Z
    date copyright4/13/2018 12:00:00 AM
    date issued2018
    identifier otherjcli-d-18-0027.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260670
    description abstractAbstractUsing 4 years of CloudSat data, the simulation of tropical convective cloud-top heights (CCTH) above 6 km simulated by the convection scheme in the Community Atmosphere Model, version 5 (CAM5), is evaluated. Compared to CloudSat observations, CAM5 underestimates CCTH by more than 2 km on average. Further analysis of model results suggests that the dilute CAPE calculation, which has been incorporated into the convective parameterization since CAM4, is a main factor restricting CCTH to much lower levels. After removing this restriction, more convective clouds develop into higher altitudes, although convective clouds with tops above 12 km are still underestimated significantly. The environmental conditions under which convection develops in CAM5 are compared with CloudSat observations for convection with similar CCTHs. It is shown that the model atmosphere is much more unstable compared to CloudSat observations, and there is too much entrainment in CAM5. Since CCTHs are closely associated with cloud radiative forcing, the impacts of CCTH on model simulation are further investigated. Results show that the change of CCTH has important impacts on cloud radiative forcing and precipitation. With increased CCTHs, there is more cloud radiative forcing in tropical Africa and the eastern Pacific, but less cloud radiative forcing in the western Pacific. The contribution to total convective precipitation from convection with cloud tops above 9 km is also increased substantially.
    publisherAmerican Meteorological Society
    titleImproving the Simulation of Tropical Convective Cloud-Top Heights in CAM5 with CloudSat Observations
    typeJournal Paper
    journal volume31
    journal issue13
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-18-0027.1
    journal fristpage5189
    journal lastpage5204
    treeJournal of Climate:;2018:;volume 031:;issue 013
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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