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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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    "description": "<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>", 
    "contributors": [
      {
        "affiliation": "Massachusetts Institute of Technology", 
        "type": "Other", 
        "name": "Kerry Emanuel"
      }, 
      {
        "affiliation": "Massachusetts Institute of Technology", 
        "type": "Other", 
        "name": "Susan Solomon"
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    ], 
    "title": "Derived Data supporting \"On the Seasonal Cycles of Tropical Cyclone Potential Intensity\" (Gilford et al. 2017, JoC)", 
    "license": {
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    "journal": {
      "volume": "30", 
      "issue": "(2017)", 
      "pages": "6085\u20136096", 
      "title": "Journal of Climate"
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    "references": [
      "Daniel M. Gilford, Susan Solomon, and Kerry Emanuel, 2017: On the Seasonal Cycles of Tropical Cyclone Potential Intensity.\u00a0J. Climate,\u00a030, 6085\u20136096. doi:\u00a010.1175/JCLI-D-16-0827.1."
    ], 
    "keywords": [
      "tropical cylones", 
      "potential intensity", 
      "climate", 
      "climatology"
    ], 
    "publication_date": "2017-04-21", 
    "creators": [
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        "orcid": "0000-0003-2422-0887", 
        "affiliation": "Massachusetts Institute of Technology", 
        "name": "Daniel Gilford"
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    "notes": "This worked was supported by NASA Grant NNX14AK83H and NSF Grant AGS-1461517.", 
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