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    Near-Future Prediction of Tropical Cyclone Activity over the North Atlantic

    Source: Journal of Climate:;2017:;volume( 030 ):;issue: 021::page 8795
    Author:
    Choi, Woosuk;Ho, Chang-Hoi;Park, Doo-Sun R.;Kim, Jinwon;Chan, Johnny C. L.
    DOI: 10.1175/JCLI-D-17-0206.1
    Publisher: American Meteorological Society
    Abstract: AbstractPrediction of tropical cyclone (TC) activity is essential to better prepare for and mitigate TC-induced disasters. Although many studies have attempted to predict TC activity on various time scales, very few have focused on near-future predictions. Here a decrease in seasonal TC activity over the North Atlantic (NA) for 2016?30 is shown using a track-pattern-based TC prediction model. The TC model is forced by long-term coupled simulations initialized using reanalysis data. Unfavorable conditions for TC development including strengthened vertical wind shear, enhanced low-level anticyclonic flow, and cooled sea surface temperature (SST) over the tropical NA are found in the simulations. Most of the environmental changes are attributable to cooling of the NA basinwide SST (NASST) and more frequent El Niño episodes in the near future. The consistent NASST warming trend in the projections from phase 5 of the Coupled Model Intercomparison Project (CMIP5) suggests that natural variability is more dominant than anthropogenic forcing over the NA in the near-future period.
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      Near-Future Prediction of Tropical Cyclone Activity over the North Atlantic

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4246251
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    contributor authorChoi, Woosuk;Ho, Chang-Hoi;Park, Doo-Sun R.;Kim, Jinwon;Chan, Johnny C. L.
    date accessioned2018-01-03T11:01:44Z
    date available2018-01-03T11:01:44Z
    date copyright8/4/2017 12:00:00 AM
    date issued2017
    identifier otherjcli-d-17-0206.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246251
    description abstractAbstractPrediction of tropical cyclone (TC) activity is essential to better prepare for and mitigate TC-induced disasters. Although many studies have attempted to predict TC activity on various time scales, very few have focused on near-future predictions. Here a decrease in seasonal TC activity over the North Atlantic (NA) for 2016?30 is shown using a track-pattern-based TC prediction model. The TC model is forced by long-term coupled simulations initialized using reanalysis data. Unfavorable conditions for TC development including strengthened vertical wind shear, enhanced low-level anticyclonic flow, and cooled sea surface temperature (SST) over the tropical NA are found in the simulations. Most of the environmental changes are attributable to cooling of the NA basinwide SST (NASST) and more frequent El Niño episodes in the near future. The consistent NASST warming trend in the projections from phase 5 of the Coupled Model Intercomparison Project (CMIP5) suggests that natural variability is more dominant than anthropogenic forcing over the NA in the near-future period.
    publisherAmerican Meteorological Society
    titleNear-Future Prediction of Tropical Cyclone Activity over the North Atlantic
    typeJournal Paper
    journal volume30
    journal issue21
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-17-0206.1
    journal fristpage8795
    journal lastpage8809
    treeJournal of Climate:;2017:;volume( 030 ):;issue: 021
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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