Frequency, intensity, and sensitivity to sea surface temperature of North Atlantic tropical cyclones in best-track and simulated data
Name
Emanuel_Frequency, intensity.pdf
Size
729.51 KB
Format
Adobe PDF
Checksum (MD5)
a99d1dac1481b7d42d657a4bf697af40
Author(s) • • •
Strazzo, Sarah
Elsner, James B.
Trepanier, Jill C.
Emanuel, Kerry Andrew
Date Issued
July 2013
Journal
Journal of Advances in Modeling Earth Systems
Publisher
American Geophysical Union (AGU)
Citation
Strazzo, Sarah, James B. Elsner, Jill C. Trepanier, and Kerry A. Emanuel. “Frequency, Intensity, and Sensitivity to Sea Surface Temperature of North Atlantic Tropical Cyclones in Best-Track and Simulated Data.” J. Adv. Model. Earth Syst. 5, no. 3 (July 2013): 500–509. Copyright © 2013 American Geophysical Union
Version
Final published version
Abstract
Synthetic hurricane track data generated from a downscaling approach are compared to best-track (observed) data to analyze differences in regional frequency, intensity, and sensitivity of limiting intensity to sea surface temperature (SST). Overall, the spatial distributions of observed and simulated hurricane counts match well, although there are relatively fewer synthetic storms in the eastern quarter of the basin. Additionally, regions of intense synthetic hurricanes tend to coincide with regions of intense observed hurricanes. The sensitivity of limiting hurricane intensity to SST computed from synthetic data is slightly lower than sensitivity computed from observed data (5.5 ± 1.31 m s[superscript −1] (standard error, SE) and 8.6 ± 1.57 m s[superscript −1] (SE), respectively); however, the synthetic data produce sensitivity values that are much closer to the observed values than those obtained from two global climate models (GCMs) in a previous study. Despite a close match in the magnitude of basin wide sensitivities, the spatial variability of sensitivities do not match. These values tend to be highest in the western portion of the basin for the observed data, while the opposite is true for the synthetic data.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1002/jame.20036