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    Impact of Meteorological Factors on the Mesoscale Morphology of Cloud Streets during a Cold-Air Outbreak over the Western North Atlantic

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    1520-0469-JAS-D-22-0034.1.pdf
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    Author
    Chen, J.
    Wang, H.
    Li, X.
    Painemal, D.
    Sorooshian, A.
    Thornhill, K.L.
    Robinson, C.
    Shingler, T.
    Affiliation
    Department of Chemical and Environmental Engineering, University of Arizona
    Issue Date
    2022
    Keywords
    Cloud cover
    Cloud resolving models
    Clouds
    
    Metadata
    Show full item record
    Publisher
    American Meteorological Society
    Citation
    Chen, J., Wang, H., Li, X., Painemal, D., Sorooshian, A., Thornhill, K. L., Robinson, C., & Shingler, T. (2022). Impact of Meteorological Factors on the Mesoscale Morphology of Cloud Streets during a Cold-Air Outbreak over the Western North Atlantic. Journal of the Atmospheric Sciences, 79(11), 2863–2879.
    Journal
    Journal of the Atmospheric Sciences
    Rights
    Copyright © 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Postfrontal clouds (PFC) are ubiquitous in the marine boundary layer, and their morphology is essential to estimating the radiation budget in weather and climate models. Here we examine the roles of sea surface temperature (SST) and meteorological factors in controlling the mesoscale morphology and evolution of shallow clouds associated with a cold-air outbreak that occurred on 1 March 2020 during phase I of the Aerosol Cloud Meteorology Interactions over the Western Atlantic Experiment (ACTIVATE). Our results show that the simulated PFC structure and ambient conditions by the Weather Research and Forecasting (WRF) Model are generally consistent with observations from GOES-16 and dropsonde measurements. We also examine the thermodynamical and dynamical influences in the cloud mesoscale morphology using WRF sensitivity experiments driven by two meteorological forcing datasets with different domain-mean SST and spatial gradients, which lead to dissimilar values of hydrometeor water path and cloud core fraction. The SST from ERA5 leads to weaker stability and higher inversion height than the SST from FNL does. In addition, the use of large-scale meteorological forcings from ERA5 yields a distinctive time evolution of wind direction shear in the inner domain, which favors the formation and persistence of longer cloud rolls. Both factors contribute to a change in the time evolution of domain-mean water path and cloud core fraction of cloud streets. Our study takes advantage of the simulation driven by the differences between two large-scale forcing datasets to illustrate the importance of SST and wind direction shear in the cloud street morphology in a realistic scenario. © 2022 American Meteorological Society.
    Note
    6 month embargo; online publication: 20 October 2022
    ISSN
    0022-4928
    DOI
    10.1175/JAS-D-22-0034.1
    Version
    Final published version
    ae974a485f413a2113503eed53cd6c53
    10.1175/JAS-D-22-0034.1
    Scopus Count
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    UA Faculty Publications

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