Simulation and Prediction of Category 4 and 5 Hurricanes in the High-Resolution GFDL HiFLOR Coupled Climate ModelSource: Journal of Climate:;2015:;volume( 028 ):;issue: 023::page 9058Author:Murakami, Hiroyuki
,
Vecchi, Gabriel A.
,
Underwood, Seth
,
Delworth, Thomas L.
,
Wittenberg, Andrew T.
,
Anderson, Whit G.
,
Chen, Jan-Huey
,
Gudgel, Richard G.
,
Harris, Lucas M.
,
Lin, Shian-Jiann
,
Zeng, Fanrong
DOI: 10.1175/JCLI-D-15-0216.1Publisher: American Meteorological Society
Abstract: new high-resolution Geophysical Fluid Dynamics Laboratory (GFDL) coupled model [the High-Resolution Forecast-Oriented Low Ocean Resolution (FLOR) model (HiFLOR)] has been developed and used to investigate potential skill in simulation and prediction of tropical cyclone (TC) activity. HiFLOR comprises high-resolution (~25-km mesh) atmosphere and land components and a more moderate-resolution (~100-km mesh) sea ice and ocean component. HiFLOR was developed from FLOR by decreasing the horizontal grid spacing of the atmospheric component from 50 to 25 km, while leaving most of the subgrid-scale physical parameterizations unchanged. Compared with FLOR, HiFLOR yields a more realistic simulation of the structure, global distribution, and seasonal and interannual variations of TCs, as well as a comparable simulation of storm-induced cold wakes and TC-genesis modulation induced by the Madden?Julian oscillation (MJO). Moreover, HiFLOR is able to simulate and predict extremely intense TCs (Saffir?Simpson hurricane categories 4 and 5) and their interannual variations, which represents the first time a global coupled model has been able to simulate such extremely intense TCs in a multicentury simulation, sea surface temperature restoring simulations, and retrospective seasonal predictions.
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contributor author | Murakami, Hiroyuki | |
contributor author | Vecchi, Gabriel A. | |
contributor author | Underwood, Seth | |
contributor author | Delworth, Thomas L. | |
contributor author | Wittenberg, Andrew T. | |
contributor author | Anderson, Whit G. | |
contributor author | Chen, Jan-Huey | |
contributor author | Gudgel, Richard G. | |
contributor author | Harris, Lucas M. | |
contributor author | Lin, Shian-Jiann | |
contributor author | Zeng, Fanrong | |
date accessioned | 2017-06-09T17:12:22Z | |
date available | 2017-06-09T17:12:22Z | |
date copyright | 2015/12/01 | |
date issued | 2015 | |
identifier issn | 0894-8755 | |
identifier other | ams-81068.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4224030 | |
description abstract | new high-resolution Geophysical Fluid Dynamics Laboratory (GFDL) coupled model [the High-Resolution Forecast-Oriented Low Ocean Resolution (FLOR) model (HiFLOR)] has been developed and used to investigate potential skill in simulation and prediction of tropical cyclone (TC) activity. HiFLOR comprises high-resolution (~25-km mesh) atmosphere and land components and a more moderate-resolution (~100-km mesh) sea ice and ocean component. HiFLOR was developed from FLOR by decreasing the horizontal grid spacing of the atmospheric component from 50 to 25 km, while leaving most of the subgrid-scale physical parameterizations unchanged. Compared with FLOR, HiFLOR yields a more realistic simulation of the structure, global distribution, and seasonal and interannual variations of TCs, as well as a comparable simulation of storm-induced cold wakes and TC-genesis modulation induced by the Madden?Julian oscillation (MJO). Moreover, HiFLOR is able to simulate and predict extremely intense TCs (Saffir?Simpson hurricane categories 4 and 5) and their interannual variations, which represents the first time a global coupled model has been able to simulate such extremely intense TCs in a multicentury simulation, sea surface temperature restoring simulations, and retrospective seasonal predictions. | |
publisher | American Meteorological Society | |
title | Simulation and Prediction of Category 4 and 5 Hurricanes in the High-Resolution GFDL HiFLOR Coupled Climate Model | |
type | Journal Paper | |
journal volume | 28 | |
journal issue | 23 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-15-0216.1 | |
journal fristpage | 9058 | |
journal lastpage | 9079 | |
tree | Journal of Climate:;2015:;volume( 028 ):;issue: 023 | |
contenttype | Fulltext |