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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. (2020) submitted to Nature Communications. If you use any original data from this archive, please cite the&nbsp;study as:</p>\n\n<pre><code>B. H. Strauss, P. Orton, K. Bittermann, M. K. Buchanan, D. M. Gilford, R. E. Kopp, S. Kulp, C. Massey, H. de Moel, S. Vinogradov, 2020:\u00a0Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change. Nature Communications. (under review, Dec. 2020)</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, hydrodynamic simulations, 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>", 
    "license": {
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    "title": "Data Supporting: \"Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change\"", 
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      "title": "Nature Communications"
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    "references": [
      "Dangendorf, S., Hay, C., Calafat, F.M. et al. Persistent acceleration in global sea-level rise since the 1960s. Nat. Clim. Chang. 9, 705\u2013710 (2019). https://doi.org/10.1038/s41558-019-0531-8", 
      "Kopp, Robert. (2013). Does the mid-Atlantic United States sea level acceleration hot spot reflect ocean dynamic variability?. Geophysical Research Letters. 40. 10.1002/grl.50781"
    ], 
    "keywords": [
      "Sea Level Rise", 
      "Climate Change", 
      "Hurricane Sandy", 
      "Attribution", 
      "Semi-empirical Modeling", 
      "Damages", 
      "Hydrodynamic modeling", 
      "Flooding"
    ], 
    "publication_date": "2020-12-02", 
    "creators": [
      {
        "orcid": "0000-0003-2422-0887", 
        "affiliation": "Rutgers University, Climate Central", 
        "name": "Daniel M Gilford"
      }, 
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        "orcid": "0000-0003-1435-7943", 
        "affiliation": "Climate Central", 
        "name": "Scott Kulp"
      }, 
      {
        "affiliation": "Tufts University, Potsdam Institute", 
        "name": "Klaus Bittermann"
      }, 
      {
        "affiliation": "Climate Central", 
        "name": "Maya K. Buchanan"
      }, 
      {
        "orcid": "0000-0003-4016-9428", 
        "affiliation": "Rutgers University", 
        "name": "Robert Kopp"
      }, 
      {
        "affiliation": "USACE", 
        "name": "Chris Massey"
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      {
        "affiliation": "Vrije Universiteit", 
        "name": "Hans de Moel"
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        "affiliation": "Stevens Institute of Technology", 
        "name": "Philip Orton"
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        "orcid": "0000-0002-6856-6575", 
        "affiliation": "Climate Central", 
        "name": "Benjamin H. Strauss"
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        "affiliation": "Binera, Inc.; Stevens Institute of Technology", 
        "name": "Sergey Vinogradov"
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