Dataset Open Access

Data Supporting: "Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change"

Daniel M. Gilford; Scott Kulp; Klaus Bittermann; Maya K. Buchanan; Robert Kopp; Chris Massey; Hans de Moel; Philip Orton; Benjamin H. Strauss; Sergey Vinogradov


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{
  "description": "<p>Code supporting Strauss et al. (2021) published in&nbsp;Nature Communications. If you use any original data from this archive, please cite the&nbsp;study as:</p>\n\n<pre><code>Strauss, B.H., Orton, P.M., Bittermann, K. et al. Economic damages from Hurricane Sandy attributable to sea level rise caused by anthropogenic climate change. Nat Commun 12, 2720 (2021). https://doi.org/10.1038/s41467-021-22838-1</code></pre>\n\n<p>If you have any questions or comments, please contact Daniel Gilford at dgilford@climatecentral.org</p>\n\n<p>Included are Input, Output, and Source&nbsp;files (compressed) used in the publication; data files are primarily in <strong>txt</strong>, <strong>csv</strong>,&nbsp;<strong>xlsx</strong>,&nbsp;and <strong>mat</strong>&nbsp;formats. In the absence of a MATLAB license,&nbsp;<strong>mat</strong>&nbsp;files may be read with open access software such as <a href=\"https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html\">SciPy</a>.&nbsp;Code supporting this publication may be found at&nbsp;<a href=\"https://github.com/climatecentral/cc_sandy_matlab\">https://github.com/climatecentral/cc_sandy_matlab</a>.</p>\n\n<p><em>Archived Data Short&nbsp;Descriptions:</em></p>\n\n<ul>\n\t<li><strong>INPUT</strong> -- Input semi-empirical model, hydrodynamic,&nbsp;and observational data files used to create distributions/analyses in this study.\n\n\t<ul>\n\t\t<li><strong>8518750_meantrend.csv</strong>: The Battery, NY monthly mean sea levels and trends/uncertainty, accessed from&nbsp;https://tidesandcurrents.noaa.gov/sltrends/sltrends_station.shtml?id=8518750 on&nbsp;29 July 2020.</li>\n\t\t<li><strong>cmip5.zip</strong>: CMIP5 semi-empirical model analyses for each individual model and scenarios (historical and counterfactual), and index files for reference.</li>\n\t\t<li><strong>hadcrut.zip</strong>: HadCRUT4&nbsp;semi-empirical model analyses for each individual HadCRUT4 scenario (historical and counterfactuals)</li>\n\t\t<li><strong>Dangendorf2019_GMSL.txt</strong>: Monthly mean global mean sea level rise from <a href=\"https://www.nature.com/articles/s41558-019-0531-8\">Dangendorf et al. (2019)</a>.</li>\n\t\t<li>Also included are datum information, block damages (<strong>/damage/</strong> directory), hydrodynamic simulations (<strong>/simulations_july_2016/ </strong>directory),&nbsp; and additional&nbsp;auxiliary&nbsp;files required to run the accompanying repository analyses.</li>\n\t</ul>\n\t</li>\n\t<li><strong>OUTPUT</strong>&nbsp;-- Code outputs&nbsp;supporting this publication\n\t<ul>\n\t\t<li><strong>fig1_data.mat</strong>: Quick access source data file which may be used to recreate Fig. 1 in the manuscript</li>\n\t\t<li><strong>SEanalysis.mat</strong>: The full output semi-empirical model analyses in this study</li>\n\t\t<li><strong>summary_samps.mat</strong>: Summary/ensemble analyses in this study</li>\n\t</ul>\n\t</li>\n\t<li><strong>SOURCE</strong> -- Individual source data files for each Figure (1, 2, 3a-b), Table (1-2), Supplementary Figure (S1-4), and Supplementary Table (S1-6) in this study.\n\t<ul>\n\t\t<li>Included is a <strong>readme.txt</strong>&nbsp;with full descriptions of source data files.</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>We acknowledge funding from NSF grant ICER-1663807, NASA grant 80NSSC17K0698,&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Rutgers University, Climate Central", 
      "@id": "https://orcid.org/0000-0003-2422-0887", 
      "@type": "Person", 
      "name": "Daniel M. Gilford"
    }, 
    {
      "affiliation": "Climate Central", 
      "@id": "https://orcid.org/0000-0003-1435-7943", 
      "@type": "Person", 
      "name": "Scott Kulp"
    }, 
    {
      "affiliation": "Tufts University, Potsdam Institute", 
      "@type": "Person", 
      "name": "Klaus Bittermann"
    }, 
    {
      "affiliation": "Climate Central", 
      "@type": "Person", 
      "name": "Maya K. Buchanan"
    }, 
    {
      "affiliation": "Rutgers University", 
      "@id": "https://orcid.org/0000-0003-4016-9428", 
      "@type": "Person", 
      "name": "Robert Kopp"
    }, 
    {
      "affiliation": "USACE", 
      "@type": "Person", 
      "name": "Chris Massey"
    }, 
    {
      "affiliation": "Vrije Universiteit", 
      "@type": "Person", 
      "name": "Hans de Moel"
    }, 
    {
      "affiliation": "Stevens Institute of Technology", 
      "@type": "Person", 
      "name": "Philip Orton"
    }, 
    {
      "affiliation": "Climate Central", 
      "@id": "https://orcid.org/0000-0002-6856-6575", 
      "@type": "Person", 
      "name": "Benjamin H. Strauss"
    }, 
    {
      "affiliation": "Binera, Inc.; Stevens Institute of Technology", 
      "@type": "Person", 
      "name": "Sergey Vinogradov"
    }
  ], 
  "url": "https://zenodo.org/record/4543662", 
  "datePublished": "2020-12-02", 
  "version": "1.2.1", 
  "keywords": [
    "Sea Level Rise", 
    "Climate Change", 
    "Hurricane Sandy", 
    "Attribution", 
    "Semi-empirical Modeling", 
    "Damages", 
    "Hydrodynamic modeling", 
    "Flooding"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
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      "contentUrl": "https://zenodo.org/api/files/d17a0084-10de-4e87-aaed-4c968abe74af/INPUT_v1.2.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/d17a0084-10de-4e87-aaed-4c968abe74af/OUTPUT.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/d17a0084-10de-4e87-aaed-4c968abe74af/SOURCE.zip", 
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      "@type": "DataDownload"
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  ], 
  "identifier": "https://doi.org/10.5281/zenodo.4543662", 
  "@id": "https://doi.org/10.5281/zenodo.4543662", 
  "@type": "Dataset", 
  "name": "Data Supporting: \"Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change\""
}
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