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Title: Characteristics of tropical cyclones in high‐resolution models in the present climate

Abstract

© 2014. The Authors. The global characteristics of tropical cyclones (TCs) simulated by several climate models are analyzed and compared with observations. The global climate models were forced by the same sea surface temperature (SST) fields in two types of experiments, using climatological SST and interannually varying SST. TC tracks and intensities are derived from each model's output fields by the group who ran that model, using their own preferred tracking scheme; the study considers the combination of model and tracking scheme as a single modeling system, and compares the properties derived from the different systems. Overall, the observed geographic distribution of global TC frequency was reasonably well reproduced. As expected, with the exception of one model, intensities of the simulated TC were lower than in observations, to a degree that varies considerably across models. Key Points: Multimodel comparison of tropical cyclone activity in global climate models Geographic distribution of the TC activity is similar to observed Most models produce tropical cyclones weaker than observed

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [12];  [13];  [6];  [14];  [15];  [2]
  1. Department of Applied Physics and Applied Mathematics Columbia University New York New York USA
  2. Lamont‐Doherty Earth Observatory Columbia University Palisades New York USA
  3. Department of Applied Physics and Applied Mathematics Columbia University New York New York USA, Lamont‐Doherty Earth Observatory Columbia University Palisades New York USA, Department of Earth and Environmental Sciences Columbia University New York New York USA
  4. Center for Climate System Research, Columbia University New York New York USA, NASA Goddard Institute for Space Studies New York New York USA
  5. Lamont‐Doherty Earth Observatory Columbia University Palisades New York USA, Now at Department of Atmospheric Sciences University of Washington Seattle Washington USA
  6. NOAA/NWS/NCEP Climate Prediction Center College Park Maryland USA
  7. Center for Ocean Atmospheric Prediction Studies, Florida State University Tallahassee Florida USA
  8. NASA Goddard Space Flight Center, GMAO GreenBelt Maryland USA, Goddard Earth Sciences Technology and Research/I.M. Systems Group Greenbelt Maryland USA
  9. International Pacific Research Center, University of Hawaii at Manoa Honolulu Hawaii USA
  10. National Center for Atmospheric Research Boulder Colorado USA
  11. Met Office, Hadley Center Devon UK
  12. Istituto Nazionale di Geofisica e Vulcanologia Bologna Italy, Centro Euro‐Mediterraneosui Cambiamenti Climatici Bologna Italy
  13. NCAS‐Climate, University of Reading Reading UK
  14. Lawrence Berkeley National Laboratory Berkeley California USA
  15. NOAA Geophysical Fluid Dynamics Laboratory Princeton New Jersey USA
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1237126
Alternate Identifier(s):
OSTI ID: 1213530; OSTI ID: 1237127; OSTI ID: 1407223
Grant/Contract Number:  
AC02-05CH11231; AGS-1143959; NASA NNX09AK34
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 6 Journal Issue: 4; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES

Citation Formats

Shaevitz, Daniel A., Camargo, Suzana J., Sobel, Adam H., Jonas, Jeffrey A., Kim, Daehyun, Kumar, Arun, LaRow, Timothy E., Lim, Young‐Kwon, Murakami, Hiroyuki, Reed, Kevin A., Roberts, Malcolm J., Scoccimarro, Enrico, Vidale, Pier Luigi, Wang, Hui, Wehner, Michael F., Zhao, Ming, and Henderson, Naomi. Characteristics of tropical cyclones in high‐resolution models in the present climate. United States: N. p., 2014. Web. doi:10.1002/2014MS000372.
Shaevitz, Daniel A., Camargo, Suzana J., Sobel, Adam H., Jonas, Jeffrey A., Kim, Daehyun, Kumar, Arun, LaRow, Timothy E., Lim, Young‐Kwon, Murakami, Hiroyuki, Reed, Kevin A., Roberts, Malcolm J., Scoccimarro, Enrico, Vidale, Pier Luigi, Wang, Hui, Wehner, Michael F., Zhao, Ming, & Henderson, Naomi. Characteristics of tropical cyclones in high‐resolution models in the present climate. United States. https://doi.org/10.1002/2014MS000372
Shaevitz, Daniel A., Camargo, Suzana J., Sobel, Adam H., Jonas, Jeffrey A., Kim, Daehyun, Kumar, Arun, LaRow, Timothy E., Lim, Young‐Kwon, Murakami, Hiroyuki, Reed, Kevin A., Roberts, Malcolm J., Scoccimarro, Enrico, Vidale, Pier Luigi, Wang, Hui, Wehner, Michael F., Zhao, Ming, and Henderson, Naomi. 2014. "Characteristics of tropical cyclones in high‐resolution models in the present climate". United States. https://doi.org/10.1002/2014MS000372.
@article{osti_1237126,
title = {Characteristics of tropical cyclones in high‐resolution models in the present climate},
author = {Shaevitz, Daniel A. and Camargo, Suzana J. and Sobel, Adam H. and Jonas, Jeffrey A. and Kim, Daehyun and Kumar, Arun and LaRow, Timothy E. and Lim, Young‐Kwon and Murakami, Hiroyuki and Reed, Kevin A. and Roberts, Malcolm J. and Scoccimarro, Enrico and Vidale, Pier Luigi and Wang, Hui and Wehner, Michael F. and Zhao, Ming and Henderson, Naomi},
abstractNote = {© 2014. The Authors. The global characteristics of tropical cyclones (TCs) simulated by several climate models are analyzed and compared with observations. The global climate models were forced by the same sea surface temperature (SST) fields in two types of experiments, using climatological SST and interannually varying SST. TC tracks and intensities are derived from each model's output fields by the group who ran that model, using their own preferred tracking scheme; the study considers the combination of model and tracking scheme as a single modeling system, and compares the properties derived from the different systems. Overall, the observed geographic distribution of global TC frequency was reasonably well reproduced. As expected, with the exception of one model, intensities of the simulated TC were lower than in observations, to a degree that varies considerably across models. Key Points: Multimodel comparison of tropical cyclone activity in global climate models Geographic distribution of the TC activity is similar to observed Most models produce tropical cyclones weaker than observed},
doi = {10.1002/2014MS000372},
url = {https://www.osti.gov/biblio/1237126}, journal = {Journal of Advances in Modeling Earth Systems},
issn = {1942-2466},
number = 4,
volume = 6,
place = {United States},
year = {Fri Dec 05 00:00:00 EST 2014},
month = {Fri Dec 05 00:00:00 EST 2014}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at https://doi.org/10.1002/2014MS000372

Citation Metrics:
Cited by: 97 works
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