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    Object-Based Evaluation of MERRA Cloud Physical Properties and Radiative Fluxes during the 1998 El Niño–La Niña Transition

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 021::page 7313
    Author:
    Posselt, Derek J.
    ,
    Jongeward, Andrew R.
    ,
    Hsu, Chuan-Yuan
    ,
    Potter, Gerald L.
    DOI: 10.1175/JCLI-D-11-00724.1
    Publisher: American Meteorological Society
    Abstract: he Modern-Era Retrospective Analysis for Research and Application (MERRA) is a reanalysis designed to produce an improved representation of the Earth?s hydrologic cycle. This study examines the representation of deep convective clouds in MERRA, comparing analyzed liquid and ice clouds with deep convective cloud objects observed by instruments on the Tropical Rainfall Measuring Mission satellite. Results show that MERRA contains deep convective cloud in 98.1% of the observed cases. MERRA-derived probability density functions (PDFs) of cloud properties have a similar form as the observed PDFs and exhibit a similar trend with changes in object size. Total water path, optical depth, and outgoing shortwave radiation (OSR) in MERRA are found to match the cloud object observations quite well; however, there appears to be a bias toward higher-than-observed cloud tops in the MERRA. The reanalysis fits the observations most closely for the largest class of convective systems, with performance generally decreasing with a transition to smaller convective systems. Comparisons of simulated total water path, optical depth, and OSR are found to be highly sensitive to the assumed subgrid distribution of condensate and indicate the need for caution when interpreting model-data comparisons that require disaggregation of grid-scale cloud to satellite pixel scales.
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      Object-Based Evaluation of MERRA Cloud Physical Properties and Radiative Fluxes during the 1998 El Niño–La Niña Transition

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4222094
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    contributor authorPosselt, Derek J.
    contributor authorJongeward, Andrew R.
    contributor authorHsu, Chuan-Yuan
    contributor authorPotter, Gerald L.
    date accessioned2017-06-09T17:05:48Z
    date available2017-06-09T17:05:48Z
    date copyright2012/11/01
    date issued2012
    identifier issn0894-8755
    identifier otherams-79326.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222094
    description abstracthe Modern-Era Retrospective Analysis for Research and Application (MERRA) is a reanalysis designed to produce an improved representation of the Earth?s hydrologic cycle. This study examines the representation of deep convective clouds in MERRA, comparing analyzed liquid and ice clouds with deep convective cloud objects observed by instruments on the Tropical Rainfall Measuring Mission satellite. Results show that MERRA contains deep convective cloud in 98.1% of the observed cases. MERRA-derived probability density functions (PDFs) of cloud properties have a similar form as the observed PDFs and exhibit a similar trend with changes in object size. Total water path, optical depth, and outgoing shortwave radiation (OSR) in MERRA are found to match the cloud object observations quite well; however, there appears to be a bias toward higher-than-observed cloud tops in the MERRA. The reanalysis fits the observations most closely for the largest class of convective systems, with performance generally decreasing with a transition to smaller convective systems. Comparisons of simulated total water path, optical depth, and OSR are found to be highly sensitive to the assumed subgrid distribution of condensate and indicate the need for caution when interpreting model-data comparisons that require disaggregation of grid-scale cloud to satellite pixel scales.
    publisherAmerican Meteorological Society
    titleObject-Based Evaluation of MERRA Cloud Physical Properties and Radiative Fluxes during the 1998 El Niño–La Niña Transition
    typeJournal Paper
    journal volume25
    journal issue21
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-11-00724.1
    journal fristpage7313
    journal lastpage7327
    treeJournal of Climate:;2012:;volume( 025 ):;issue: 021
    contenttypeFulltext
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