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    Dusty Atmospheric Rivers: Characteristics and Origins

    Source: Journal of Climate:;2020:;volume( 33 ):;issue: 022::page 9749
    Author:
    Voss, Kara K.;Evan, Amato T.;Prather, Kimbery A.;Ralph, F. Martin
    DOI: 10.1175/JCLI-D-20-0059.1
    Publisher: American Meteorological Society
    Abstract: Atmospheric rivers (AR) are narrow bands of strong horizontal transport of water vapor in the midlatitudes that can cause extreme precipitation, which contributes to beneficial water supply and sometimes flooding. The precipitation productivity of an AR is affected by microphysical processes, including the influence of aerosols. Earlier case studies have shown that some ARs over the North Pacific Ocean contain dust from Africa and Asia that can strongly influence precipitation by acting as ice nuclei. This paper explores how commonly dust and ARs occur together, or in close proximity. A “dust score” is introduced to characterize the dustiness of the environment associated with ARs by using satellite-based observations. This method is applied to days on which one or more ARs made landfall along the west coast of the United States between 2001 and 2018. The dust score is used to describe the seasonality and year-to-year variability of dusty-environment ARs. Dusty ARs occur primarily in the early spring (March–April), and dust is preferentially found within the warm sector of AR-associated extratropical cyclones and is also enhanced in the cold sector. Year-to-year variability in dust score is dependent more on year-to-year variability in dust than on the frequency of AR days. This year-to-year variability is also strongly related to correlations between the frequency of ARs and the dustiness of the northeastern Pacific, motivating additional investigation into potential dynamical association between dust and ARs.
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      Dusty Atmospheric Rivers: Characteristics and Origins

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    contributor authorVoss, Kara K.;Evan, Amato T.;Prather, Kimbery A.;Ralph, F. Martin
    date accessioned2022-01-30T17:59:09Z
    date available2022-01-30T17:59:09Z
    date copyright10/14/2020 12:00:00 AM
    date issued2020
    identifier issn0894-8755
    identifier otherjclid200059.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264302
    description abstractAtmospheric rivers (AR) are narrow bands of strong horizontal transport of water vapor in the midlatitudes that can cause extreme precipitation, which contributes to beneficial water supply and sometimes flooding. The precipitation productivity of an AR is affected by microphysical processes, including the influence of aerosols. Earlier case studies have shown that some ARs over the North Pacific Ocean contain dust from Africa and Asia that can strongly influence precipitation by acting as ice nuclei. This paper explores how commonly dust and ARs occur together, or in close proximity. A “dust score” is introduced to characterize the dustiness of the environment associated with ARs by using satellite-based observations. This method is applied to days on which one or more ARs made landfall along the west coast of the United States between 2001 and 2018. The dust score is used to describe the seasonality and year-to-year variability of dusty-environment ARs. Dusty ARs occur primarily in the early spring (March–April), and dust is preferentially found within the warm sector of AR-associated extratropical cyclones and is also enhanced in the cold sector. Year-to-year variability in dust score is dependent more on year-to-year variability in dust than on the frequency of AR days. This year-to-year variability is also strongly related to correlations between the frequency of ARs and the dustiness of the northeastern Pacific, motivating additional investigation into potential dynamical association between dust and ARs.
    publisherAmerican Meteorological Society
    titleDusty Atmospheric Rivers: Characteristics and Origins
    typeJournal Paper
    journal volume33
    journal issue22
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-0059.1
    journal fristpage9749
    journal lastpage9762
    treeJournal of Climate:;2020:;volume( 33 ):;issue: 022
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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