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    Simulation of ENSO Teleconnections to Precipitation Extremes over the United States in the High-Resolution Version of E3SM

    Source: Journal of Climate:;2022:;volume( 035 ):;issue: 011::page 3371
    Author:
    Salil Mahajan
    ,
    Qi Tang
    ,
    Noel D. Keen
    ,
    Jean-Christophe Golaz
    ,
    Luke P. van Roekel
    DOI: 10.1175/JCLI-D-20-1011.1
    Publisher: American Meteorological Society
    Abstract: We evaluate the simulated teleconnection of El Niño–Southern Oscillation (ENSO) to winter season precipitation extremes over the United States in a long (98 years) 1950 control high-resolution version (HR; 25-km nominal atmosphere model horizontal resolution) of the U.S. Department of Energy’s (DOE) Energy Exascale Earth System Model version 1 (E3SMv1). The model bias and spatial pattern of ENSO teleconnections to mean and extreme precipitation in HR overall are similar to the low-resolution model’s (LR; 110 km) historical simulation (four-member ensemble, 1925–59). However, over the southeastern United States (SE-U.S.), HR produces stronger El Niño–associated extremes, reducing LR’s model bias. Both LR and HR produce weaker than observed increase in storm track activity during El Niño events there, but HR improves the ENSO-associated variability of moisture transport over SE-U.S. During El Niño, stronger vertical velocities in HR produce stronger large-scale precipitation, causing larger latent heating of the troposphere that pulls in more moisture from the Gulf of Mexico into the SE-U.S. This positive feedback also contributes to the stronger mean and extreme precipitation response in HR. Over the Pacific Northwest, LR’s bias of stronger than observed La Niña associated extremes is amplified in HR. Both models simulate stronger than observed moisture transport from the Pacific Ocean into the region during La Niña years. The amplified HR bias there is due to stronger orographically driven vertical updrafts that create stronger large-scale precipitation, despite weaker La Niña–induced storm track activity.
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      Simulation of ENSO Teleconnections to Precipitation Extremes over the United States in the High-Resolution Version of E3SM

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4290070
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    contributor authorSalil Mahajan
    contributor authorQi Tang
    contributor authorNoel D. Keen
    contributor authorJean-Christophe Golaz
    contributor authorLuke P. van Roekel
    date accessioned2023-04-12T18:41:12Z
    date available2023-04-12T18:41:12Z
    date copyright2022/06/01
    date issued2022
    identifier otherJCLI-D-20-1011.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290070
    description abstractWe evaluate the simulated teleconnection of El Niño–Southern Oscillation (ENSO) to winter season precipitation extremes over the United States in a long (98 years) 1950 control high-resolution version (HR; 25-km nominal atmosphere model horizontal resolution) of the U.S. Department of Energy’s (DOE) Energy Exascale Earth System Model version 1 (E3SMv1). The model bias and spatial pattern of ENSO teleconnections to mean and extreme precipitation in HR overall are similar to the low-resolution model’s (LR; 110 km) historical simulation (four-member ensemble, 1925–59). However, over the southeastern United States (SE-U.S.), HR produces stronger El Niño–associated extremes, reducing LR’s model bias. Both LR and HR produce weaker than observed increase in storm track activity during El Niño events there, but HR improves the ENSO-associated variability of moisture transport over SE-U.S. During El Niño, stronger vertical velocities in HR produce stronger large-scale precipitation, causing larger latent heating of the troposphere that pulls in more moisture from the Gulf of Mexico into the SE-U.S. This positive feedback also contributes to the stronger mean and extreme precipitation response in HR. Over the Pacific Northwest, LR’s bias of stronger than observed La Niña associated extremes is amplified in HR. Both models simulate stronger than observed moisture transport from the Pacific Ocean into the region during La Niña years. The amplified HR bias there is due to stronger orographically driven vertical updrafts that create stronger large-scale precipitation, despite weaker La Niña–induced storm track activity.
    publisherAmerican Meteorological Society
    titleSimulation of ENSO Teleconnections to Precipitation Extremes over the United States in the High-Resolution Version of E3SM
    typeJournal Paper
    journal volume35
    journal issue11
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-1011.1
    journal fristpage3371
    journal lastpage3393
    page3371–3393
    treeJournal of Climate:;2022:;volume( 035 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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