Cluster Analysis of Downscaled and Explicitly Simulated North Atlantic Tropical Cyclone Tracks
- Univ. of Wisconsin, Madison, WI (United States). Space Science and Engineering Center
- Columbia Univ., Palisades, NY (United States). Lamont-Doherty Earth Observatory
- National Oceanic and Atmospheric Administration (NOAA), Asheville, NC (United States). National Climatic Data Center (NCDC)
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Univ. of Melbourne (Australia). School of Earth
- Columbia Univ., New York, NY (United States). Center for Climate Systems; NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States). Global Modeling and Assimilation Office, and Goddard Earth Sciences Technology and Research/I.M. Systems Group
- Florida State Univ., Tallahassee, FL (United States)
- NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States). Global Modeling and Assimilation Office, and Goddard Earth Sciences Technology and Research/I.M. Systems Group
- Texas A & M Univ., College Station, TX (United States)
- Met Office Hadley Centre, Devon (United Kingdom)
- Istituto Nazionale di Geofisica e Vulcanologia, Bologna (Italy); Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce (Italy)
- Columbia Univ., New York, NY (United States). Dept. of Applied Physics and Applied Mathematics
- Univ. of Reading, Reading (United Kingdom). National Centre for Atmospheric Science, Dept. of Meteorology
- National Oceanic and Atmospheric Administration (NOAA), College Park, MD (United States). National Weather Service (NWS), National Centers for Environmental Prediction (NCEP), Climate Prediction Center
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
- National Oceanic and Atmospheric Administration (NOAA), Princeton, NJ (United States). Geophysical Fluid Dynamics Lab. (GFDL)
A realistic representation of the North Atlantic tropical cyclone tracks is crucial as it allows, for example, explaining potential changes in U.S. landfalling systems. Here, the authors present a tentative study that examines the ability of recent climate models to represent North Atlantic tropical cyclone tracks. Tracks from two types of climate models are evaluated: explicit tracks are obtained from tropical cyclones simulated in regional or global climate models with moderate to high horizontal resolution (1°–0.25°), and downscaled tracks are obtained using a downscaling technique with large-scale environmental fields from a subset of these models. Here, for both configurations, tracks are objectively separated into four groups using a cluster technique, leading to a zonal and a meridional separation of the tracks. The meridional separation largely captures the separation between deep tropical and subtropical, hybrid or baroclinic cyclones, while the zonal separation segregates Gulf of Mexico and Cape Verde storms. The properties of the tracks’ seasonality, intensity, and power dissipation index in each cluster are documented for both configurations. The authors’ results show that, except for the seasonality, the downscaled tracks better capture the observed characteristics of the clusters. The authors also use three different idealized scenarios to examine the possible future changes of tropical cyclone tracks under 1) warming sea surface temperature, 2) increasing carbon dioxide, and 3) a combination of the two. The response to each scenario is highly variable depending on the simulation considered. Lastly, the authors examine the role of each cluster in these future changes and find no preponderant contribution of any single cluster over the others.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); National Oceanic and Atmospheric Administration (NOAA)
- Grant/Contract Number:
- AC02-05CH11231; NA11OAR4310093; AGS1143959; NNX09AK34G
- OSTI ID:
- 1407300
- Journal Information:
- Journal of Climate, Vol. 28, Issue 4; ISSN 0894-8755
- Publisher:
- American Meteorological SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Similar Records
High-Resolution Modeling to Assess Tropical Cyclone Activity in Future Climate Regimes
Diagnosing United States hurricane landfall risk: An alternative to count-based methodologies: Diagnosing U.S. Hurricane Landfall Risk