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    Cloudnet

    Source: Bulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 006::page 883
    Author:
    Illingworth, A. J.
    ,
    Hogan, R. J.
    ,
    O'Connor, E. J.
    ,
    Bouniol, D.
    ,
    Delanoë, J.
    ,
    Pelon, J.
    ,
    Protat, A.
    ,
    Brooks, M. E.
    ,
    Gaussiat, N.
    ,
    Wilson, D. R.
    ,
    Donovan, D. P.
    ,
    Baltink, H. Klein
    ,
    van Zadelhoff, G-J.
    ,
    Eastment, J. D.
    ,
    Goddard, J. W. F.
    ,
    Wrench, C. L.
    ,
    Haeffelin, M.
    ,
    Krasnov, O. A.
    ,
    Russchenberg, H. W. J.
    ,
    Piriou, J-M.
    ,
    Vinit, F.
    ,
    Seifert, A.
    ,
    Tompkins, A. M.
    ,
    Willén, U.
    DOI: 10.1175/BAMS-88-6-883
    Publisher: American Meteorological Society
    Abstract: The Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there are few observations of the vertical profiles of the cloud properties that show whether or not they are successful. Cloud profiles derived from cloud radars, ceilometers, and dual-frequency microwave radiometers operated at three sites in France, Netherlands, and the United Kingdom for several years have been compared with the clouds in seven European models. The advantage of this continuous appraisal is that the feedback on how new versions of models are performing is provided in quasi?real time, as opposed to the much longer time scale needed for in-depth analysis of complex field studies. Here, two occasions are identified when the introduction of new versions of the ECMWF and Météo-France models leads to an immediate improvement in the representation of the clouds and also provides statistics on the performance of the seven models. The Cloudnet analysis scheme is currently being expanded to include sites outside Europe and further operational forecasting and climate models.
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      Cloudnet

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4215083
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    contributor authorIllingworth, A. J.
    contributor authorHogan, R. J.
    contributor authorO'Connor, E. J.
    contributor authorBouniol, D.
    contributor authorDelanoë, J.
    contributor authorPelon, J.
    contributor authorProtat, A.
    contributor authorBrooks, M. E.
    contributor authorGaussiat, N.
    contributor authorWilson, D. R.
    contributor authorDonovan, D. P.
    contributor authorBaltink, H. Klein
    contributor authorvan Zadelhoff, G-J.
    contributor authorEastment, J. D.
    contributor authorGoddard, J. W. F.
    contributor authorWrench, C. L.
    contributor authorHaeffelin, M.
    contributor authorKrasnov, O. A.
    contributor authorRusschenberg, H. W. J.
    contributor authorPiriou, J-M.
    contributor authorVinit, F.
    contributor authorSeifert, A.
    contributor authorTompkins, A. M.
    contributor authorWillén, U.
    date accessioned2017-06-09T16:43:26Z
    date available2017-06-09T16:43:26Z
    date copyright2007/06/01
    date issued2007
    identifier issn0003-0007
    identifier otherams-73015.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215083
    description abstractThe Cloudnet project aims to provide a systematic evaluation of clouds in forecast and climate models by comparing the model output with continuous ground-based observations of the vertical profiles of cloud properties. In the models, the properties of clouds are simplified and expressed in terms of the fraction of the model grid box, which is filled with cloud, together with the liquid and ice water content of the clouds. These models must get the clouds right if they are to correctly represent both their radiative properties and their key role in the production of precipitation, but there are few observations of the vertical profiles of the cloud properties that show whether or not they are successful. Cloud profiles derived from cloud radars, ceilometers, and dual-frequency microwave radiometers operated at three sites in France, Netherlands, and the United Kingdom for several years have been compared with the clouds in seven European models. The advantage of this continuous appraisal is that the feedback on how new versions of models are performing is provided in quasi?real time, as opposed to the much longer time scale needed for in-depth analysis of complex field studies. Here, two occasions are identified when the introduction of new versions of the ECMWF and Météo-France models leads to an immediate improvement in the representation of the clouds and also provides statistics on the performance of the seven models. The Cloudnet analysis scheme is currently being expanded to include sites outside Europe and further operational forecasting and climate models.
    publisherAmerican Meteorological Society
    titleCloudnet
    typeJournal Paper
    journal volume88
    journal issue6
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-88-6-883
    journal fristpage883
    journal lastpage898
    treeBulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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