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    A New Research Approach for Observing and Characterizing Land–Atmosphere Feedback

    Source: Bulletin of the American Meteorological Society:;2018:;volume 099:;issue 008::page 1639
    Author:
    Wulfmeyer, Volker
    ,
    Turner, David D.
    ,
    Baker, B.
    ,
    Banta, R.
    ,
    Behrendt, A.
    ,
    Bonin, T.
    ,
    Brewer, W. A.
    ,
    Buban, M.
    ,
    Choukulkar, A.
    ,
    Dumas, E.
    ,
    Hardesty, R. M.
    ,
    Heus, T.
    ,
    Ingwersen, J.
    ,
    Lange, D.
    ,
    Lee, T. R.
    ,
    Metzendorf, S.
    ,
    Muppa, S. K.
    ,
    Meyers, T.
    ,
    Newsom, R.
    ,
    Osman, M.
    ,
    Raasch, S.
    ,
    Santanello, J.
    ,
    Senff, C.
    ,
    Späth, F.
    ,
    Wagner, T.
    ,
    Weckwerth, T.
    DOI: 10.1175/BAMS-D-17-0009.1
    Publisher: American Meteorological Society
    Abstract: AbstractForecast errors with respect to wind, temperature, moisture, clouds, and precipitation largely correspond to the limited capability of current Earth system models to capture and simulate land?atmosphere feedback. To facilitate its realistic simulation in next-generation models, an improved process understanding of the related complex interactions is essential. To this end, accurate 3D observations of key variables in the land?atmosphere (L?A) system with high vertical and temporal resolution from the surface to the free troposphere are indispensable.Recently, we developed a synergy of innovative ground-based, scanning active remote sensing systems for 2D to 3D measurements of wind, temperature, and water vapor from the surface to the lower troposphere that is able to provide comprehensive datasets for characterizing L?A feedback independently of any model input. Several new applications are introduced, such as the mapping of surface momentum, sensible heat, and latent heat fluxes in heterogeneous terrain; the testing of Monin?Obukhov similarity theory and turbulence parameterizations; the direct measurement of entrainment fluxes; and the development of new flux-gradient relationships. An experimental design taking advantage of the sensors? synergy and advanced capabilities was realized for the first time during the Land Atmosphere Feedback Experiment (LAFE), conducted at the Atmospheric Radiation Measurement Program Southern Great Plains site in August 2017. The scientific goals and the strategy of achieving them with the LAFE dataset are introduced. We envision the initiation of innovative L?A feedback studies in different climate regions to improve weather forecast, climate, and Earth system models worldwide.
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      A New Research Approach for Observing and Characterizing Land–Atmosphere Feedback

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4261983
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    • Bulletin of the American Meteorological Society

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    contributor authorWulfmeyer, Volker
    contributor authorTurner, David D.
    contributor authorBaker, B.
    contributor authorBanta, R.
    contributor authorBehrendt, A.
    contributor authorBonin, T.
    contributor authorBrewer, W. A.
    contributor authorBuban, M.
    contributor authorChoukulkar, A.
    contributor authorDumas, E.
    contributor authorHardesty, R. M.
    contributor authorHeus, T.
    contributor authorIngwersen, J.
    contributor authorLange, D.
    contributor authorLee, T. R.
    contributor authorMetzendorf, S.
    contributor authorMuppa, S. K.
    contributor authorMeyers, T.
    contributor authorNewsom, R.
    contributor authorOsman, M.
    contributor authorRaasch, S.
    contributor authorSantanello, J.
    contributor authorSenff, C.
    contributor authorSpäth, F.
    contributor authorWagner, T.
    contributor authorWeckwerth, T.
    date accessioned2019-09-19T10:08:26Z
    date available2019-09-19T10:08:26Z
    date copyright2/12/2018 12:00:00 AM
    date issued2018
    identifier otherbams-d-17-0009.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261983
    description abstractAbstractForecast errors with respect to wind, temperature, moisture, clouds, and precipitation largely correspond to the limited capability of current Earth system models to capture and simulate land?atmosphere feedback. To facilitate its realistic simulation in next-generation models, an improved process understanding of the related complex interactions is essential. To this end, accurate 3D observations of key variables in the land?atmosphere (L?A) system with high vertical and temporal resolution from the surface to the free troposphere are indispensable.Recently, we developed a synergy of innovative ground-based, scanning active remote sensing systems for 2D to 3D measurements of wind, temperature, and water vapor from the surface to the lower troposphere that is able to provide comprehensive datasets for characterizing L?A feedback independently of any model input. Several new applications are introduced, such as the mapping of surface momentum, sensible heat, and latent heat fluxes in heterogeneous terrain; the testing of Monin?Obukhov similarity theory and turbulence parameterizations; the direct measurement of entrainment fluxes; and the development of new flux-gradient relationships. An experimental design taking advantage of the sensors? synergy and advanced capabilities was realized for the first time during the Land Atmosphere Feedback Experiment (LAFE), conducted at the Atmospheric Radiation Measurement Program Southern Great Plains site in August 2017. The scientific goals and the strategy of achieving them with the LAFE dataset are introduced. We envision the initiation of innovative L?A feedback studies in different climate regions to improve weather forecast, climate, and Earth system models worldwide.
    publisherAmerican Meteorological Society
    titleA New Research Approach for Observing and Characterizing Land–Atmosphere Feedback
    typeJournal Paper
    journal volume99
    journal issue8
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-17-0009.1
    journal fristpage1639
    journal lastpage1667
    treeBulletin of the American Meteorological Society:;2018:;volume 099:;issue 008
    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
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