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Derived Data supporting "On the Seasonal Cycles of Tropical Cyclone Potential Intensity" (Gilford et al. 2017, JoC)

Daniel Gilford


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3820627", 
  "container_title": "Journal of Climate", 
  "title": "Derived Data supporting \"On the Seasonal Cycles of Tropical Cyclone Potential Intensity\" (Gilford et al. 2017, JoC)", 
  "issued": {
    "date-parts": [
      [
        2017, 
        4, 
        21
      ]
    ]
  }, 
  "abstract": "<p>Derived monthly mean tropical cyclone potential intensities (and associated variables) using the Bister and Emanuel 2002 PI algorithm,&nbsp;ftp://texmex.mit.edu/pub/emanuel/TCMAX; from MERRA2 (averaged over 1980-2016) and ERA-I data&nbsp;(averaged over 1980-2013), on 2.5x2.5 degree grids and with the&nbsp;ERA-I land-sea mask already applied. This data supported the publication of Gilford et al. (2017, JoC). When using this data, please include the citation:</p>\n\n<p>Daniel M. Gilford, Susan Solomon, and Kerry Emanuel, 2017: On the Seasonal Cycles of Tropical Cyclone Potential Intensity.&nbsp;<em>J. Climate,&nbsp;</em><strong>30</strong>, 6085&ndash;6096. doi:&nbsp;<a href=\"http://journals.ametsoc.org/doi/10.1175/JCLI-D-16-0827.1\">10.1175/JCLI-D-16-0827.1</a>.</p>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "family": "Daniel Gilford"
    }
  ], 
  "page": "6085\u20136096", 
  "volume": "30", 
  "note": "This worked was supported by NASA Grant NNX14AK83H and NSF Grant AGS-1461517.", 
  "type": "dataset", 
  "issue": "(2017)", 
  "id": "3820627"
}
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