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    Observed versus GCM-Generated Local Tropical Cyclone Frequency: Comparisons Using a Spatial Lattice

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 021::page 8257
    Author:
    Strazzo, Sarah
    ,
    Elsner, James B.
    ,
    LaRow, Timothy
    ,
    Halperin, Daniel J.
    ,
    Zhao, Ming
    DOI: 10.1175/JCLI-D-12-00808.1
    Publisher: American Meteorological Society
    Abstract: f broad scientific and public interest is the reliability of global climate models (GCMs) to simulate future regional and local tropical cyclone (TC) occurrences. Atmospheric GCMs are now able to generate vortices resembling actual TCs, but questions remain about their fidelity to observed TCs. Here the authors demonstrate a spatial lattice approach for comparing actual with simulated TC occurrences regionally using observed TCs from the International Best Track Archive for Climate Stewardship (IBTrACS) dataset and GCM-generated TCs from the Geophysical Fluid Dynamics Laboratory (GFDL) High Resolution Atmospheric Model (HiRAM) and Florida State University (FSU) Center for Ocean?Atmospheric Prediction Studies (COAPS) model over the common period 1982?2008. Results show that the spatial distribution of TCs generated by the GFDL model compares well with observations globally, although there are areas of over- and underprediction, particularly in parts of the Pacific Ocean. Difference maps using the spatial lattice highlight these discrepancies. Additionally, comparisons focusing on the North Atlantic Ocean basin are made. Results confirm a large area of overprediction by the FSU COAPS model in the south-central portion of the basin. Relevant to projections of future U.S. hurricane activity is the fact that both models underpredict TC activity in the Gulf of Mexico.
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      Observed versus GCM-Generated Local Tropical Cyclone Frequency: Comparisons Using a Spatial Lattice

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    contributor authorStrazzo, Sarah
    contributor authorElsner, James B.
    contributor authorLaRow, Timothy
    contributor authorHalperin, Daniel J.
    contributor authorZhao, Ming
    date accessioned2017-06-09T17:07:59Z
    date available2017-06-09T17:07:59Z
    date copyright2013/11/01
    date issued2013
    identifier issn0894-8755
    identifier otherams-79875.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222703
    description abstractf broad scientific and public interest is the reliability of global climate models (GCMs) to simulate future regional and local tropical cyclone (TC) occurrences. Atmospheric GCMs are now able to generate vortices resembling actual TCs, but questions remain about their fidelity to observed TCs. Here the authors demonstrate a spatial lattice approach for comparing actual with simulated TC occurrences regionally using observed TCs from the International Best Track Archive for Climate Stewardship (IBTrACS) dataset and GCM-generated TCs from the Geophysical Fluid Dynamics Laboratory (GFDL) High Resolution Atmospheric Model (HiRAM) and Florida State University (FSU) Center for Ocean?Atmospheric Prediction Studies (COAPS) model over the common period 1982?2008. Results show that the spatial distribution of TCs generated by the GFDL model compares well with observations globally, although there are areas of over- and underprediction, particularly in parts of the Pacific Ocean. Difference maps using the spatial lattice highlight these discrepancies. Additionally, comparisons focusing on the North Atlantic Ocean basin are made. Results confirm a large area of overprediction by the FSU COAPS model in the south-central portion of the basin. Relevant to projections of future U.S. hurricane activity is the fact that both models underpredict TC activity in the Gulf of Mexico.
    publisherAmerican Meteorological Society
    titleObserved versus GCM-Generated Local Tropical Cyclone Frequency: Comparisons Using a Spatial Lattice
    typeJournal Paper
    journal volume26
    journal issue21
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-12-00808.1
    journal fristpage8257
    journal lastpage8268
    treeJournal of Climate:;2013:;volume( 026 ):;issue: 021
    contenttypeFulltext
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