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    REMO Cloud Modeling: Improvements and Validation with ISCCP DX Data

    Source: Journal of Applied Meteorology:;2001:;volume( 040 ):;issue: 003::page 389
    Author:
    Zhang, Ying
    ,
    Rockel, Burkhardt
    ,
    Stuhlmann, Rolf
    ,
    Hollmann, Rainer
    ,
    Karstens, Ute
    DOI: 10.1175/1520-0450(2001)040<0389:RCMIAV>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The grid-scale cloud properties of the Regional-Scale Model (REMO) are compared with the cloud retrievals derived from the International Satellite Cloud Climatology Project (ISCCP) ?DX? datasets for the Baltic Sea Experiment region in March of 1994. For the uppermost cloud layer, the layer seen by a satellite instrument, the original REMO cloud scheme gives an ice cloud cover amount of about 90%, and the water cloud cover is close to zero. As compared with ISCCP, this result is an overestimation of ice clouds by up to 60% and underestimation of water clouds by up to 40%. To improve the REMO cloud results, a sensitivity study is carried out that shows that ice heterogeneous nucleation is the most influential process in the REMO cloud scheme. Cloud properties derived from the new REMO cloud scheme show that the amount of grid-scale ice clouds has decreased by about 40% and that of grid-scale water clouds has increased by about 20% in comparison with the old version. When compared with the ISCCP cloud retrievals, the new cloud scheme shows a general improvement, but the amount of ice clouds is still up to 20% higher, and that of water clouds can still be underestimated by about 20%. The total cloud cover for the month of March is reduced to 80%, the same amount as derived from the ISCCP retrievals. In addition, REMO cloud-top heights as compared with ISCCP retrieval and the REMO precipitation as compared with ground observations have also improved in the new version of REMO.
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      REMO Cloud Modeling: Improvements and Validation with ISCCP DX Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4148355
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    • Journal of Applied Meteorology

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    contributor authorZhang, Ying
    contributor authorRockel, Burkhardt
    contributor authorStuhlmann, Rolf
    contributor authorHollmann, Rainer
    contributor authorKarstens, Ute
    date accessioned2017-06-09T14:07:44Z
    date available2017-06-09T14:07:44Z
    date copyright2001/03/01
    date issued2001
    identifier issn0894-8763
    identifier otherams-12959.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148355
    description abstractThe grid-scale cloud properties of the Regional-Scale Model (REMO) are compared with the cloud retrievals derived from the International Satellite Cloud Climatology Project (ISCCP) ?DX? datasets for the Baltic Sea Experiment region in March of 1994. For the uppermost cloud layer, the layer seen by a satellite instrument, the original REMO cloud scheme gives an ice cloud cover amount of about 90%, and the water cloud cover is close to zero. As compared with ISCCP, this result is an overestimation of ice clouds by up to 60% and underestimation of water clouds by up to 40%. To improve the REMO cloud results, a sensitivity study is carried out that shows that ice heterogeneous nucleation is the most influential process in the REMO cloud scheme. Cloud properties derived from the new REMO cloud scheme show that the amount of grid-scale ice clouds has decreased by about 40% and that of grid-scale water clouds has increased by about 20% in comparison with the old version. When compared with the ISCCP cloud retrievals, the new cloud scheme shows a general improvement, but the amount of ice clouds is still up to 20% higher, and that of water clouds can still be underestimated by about 20%. The total cloud cover for the month of March is reduced to 80%, the same amount as derived from the ISCCP retrievals. In addition, REMO cloud-top heights as compared with ISCCP retrieval and the REMO precipitation as compared with ground observations have also improved in the new version of REMO.
    publisherAmerican Meteorological Society
    titleREMO Cloud Modeling: Improvements and Validation with ISCCP DX Data
    typeJournal Paper
    journal volume40
    journal issue3
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(2001)040<0389:RCMIAV>2.0.CO;2
    journal fristpage389
    journal lastpage408
    treeJournal of Applied Meteorology:;2001:;volume( 040 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian