Simulation and Prediction of Category 4 and 5 Hurricanes in the High-Resolution GFDL HiFLOR Coupled Climate Model*
-
- Hiroyuki Murakami
- NOAA/Geophysical Fluid Dynamics Laboratory, and Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey
-
- Gabriel A. Vecchi
- NOAA/Geophysical Fluid Dynamics Laboratory, and Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey
-
- Seth Underwood
- Engility, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
-
- Thomas L. Delworth
- NOAA/Geophysical Fluid Dynamics Laboratory, and Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey
-
- Andrew T. Wittenberg
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
-
- Whit G. Anderson
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
-
- Jan-Huey Chen
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
-
- Richard G. Gudgel
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
-
- Lucas M. Harris
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
-
- Shian-Jiann Lin
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
-
- Fanrong Zeng
- NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
書誌事項
- 公開日
- 2015-12-01
- DOI
-
- 10.1175/jcli-d-15-0216.1
- 公開者
- American Meteorological Society
この論文をさがす
説明
<jats:title>Abstract</jats:title> <jats:p>A 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.</jats:p>
収録刊行物
-
- Journal of Climate
-
Journal of Climate 28 (23), 9058-9079, 2015-12-01
American Meteorological Society
