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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    <dct:title>Data Supporting: "Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change"</dct:title>
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    <dcat:keyword>Sea Level Rise</dcat:keyword>
    <dcat:keyword>Climate Change</dcat:keyword>
    <dcat:keyword>Hurricane Sandy</dcat:keyword>
    <dcat:keyword>Attribution</dcat:keyword>
    <dcat:keyword>Semi-empirical Modeling</dcat:keyword>
    <dcat:keyword>Damages</dcat:keyword>
    <dcat:keyword>Hydrodynamic modeling</dcat:keyword>
    <dcat:keyword>Flooding</dcat:keyword>
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    <dct:description>&lt;p&gt;Code supporting Strauss et al. (2021) published in&amp;nbsp;Nature Communications. If you use any original data from this archive, please cite the&amp;nbsp;study as:&lt;/p&gt; &lt;pre&gt;&lt;code&gt;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&lt;/code&gt;&lt;/pre&gt; &lt;p&gt;If you have any questions or comments, please contact Daniel Gilford at dgilford@climatecentral.org&lt;/p&gt; &lt;p&gt;Included are Input, Output, and Source&amp;nbsp;files (compressed) used in the publication; data files are primarily in &lt;strong&gt;txt&lt;/strong&gt;, &lt;strong&gt;csv&lt;/strong&gt;,&amp;nbsp;&lt;strong&gt;xlsx&lt;/strong&gt;,&amp;nbsp;and &lt;strong&gt;mat&lt;/strong&gt;&amp;nbsp;formats. In the absence of a MATLAB license,&amp;nbsp;&lt;strong&gt;mat&lt;/strong&gt;&amp;nbsp;files may be read with open access software such as &lt;a href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html"&gt;SciPy&lt;/a&gt;.&amp;nbsp;Code supporting this publication may be found at&amp;nbsp;&lt;a href="https://github.com/climatecentral/cc_sandy_matlab"&gt;https://github.com/climatecentral/cc_sandy_matlab&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;&lt;em&gt;Archived Data Short&amp;nbsp;Descriptions:&lt;/em&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;INPUT&lt;/strong&gt; -- Input semi-empirical model, hydrodynamic,&amp;nbsp;and observational data files used to create distributions/analyses in this study. &lt;ul&gt; &lt;li&gt;&lt;strong&gt;8518750_meantrend.csv&lt;/strong&gt;: The Battery, NY monthly mean sea levels and trends/uncertainty, accessed from&amp;nbsp;https://tidesandcurrents.noaa.gov/sltrends/sltrends_station.shtml?id=8518750 on&amp;nbsp;29 July 2020.&lt;/li&gt; &lt;li&gt;&lt;strong&gt;cmip5.zip&lt;/strong&gt;: CMIP5 semi-empirical model analyses for each individual model and scenarios (historical and counterfactual), and index files for reference.&lt;/li&gt; &lt;li&gt;&lt;strong&gt;hadcrut.zip&lt;/strong&gt;: HadCRUT4&amp;nbsp;semi-empirical model analyses for each individual HadCRUT4 scenario (historical and counterfactuals)&lt;/li&gt; &lt;li&gt;&lt;strong&gt;Dangendorf2019_GMSL.txt&lt;/strong&gt;: Monthly mean global mean sea level rise from &lt;a href="https://www.nature.com/articles/s41558-019-0531-8"&gt;Dangendorf et al. (2019)&lt;/a&gt;.&lt;/li&gt; &lt;li&gt;Also included are datum information, block damages (&lt;strong&gt;/damage/&lt;/strong&gt; directory), hydrodynamic simulations (&lt;strong&gt;/simulations_july_2016/ &lt;/strong&gt;directory),&amp;nbsp; and additional&amp;nbsp;auxiliary&amp;nbsp;files required to run the accompanying repository analyses.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;&lt;strong&gt;OUTPUT&lt;/strong&gt;&amp;nbsp;-- Code outputs&amp;nbsp;supporting this publication &lt;ul&gt; &lt;li&gt;&lt;strong&gt;fig1_data.mat&lt;/strong&gt;: Quick access source data file which may be used to recreate Fig. 1 in the manuscript&lt;/li&gt; &lt;li&gt;&lt;strong&gt;SEanalysis.mat&lt;/strong&gt;: The full output semi-empirical model analyses in this study&lt;/li&gt; &lt;li&gt;&lt;strong&gt;summary_samps.mat&lt;/strong&gt;: Summary/ensemble analyses in this study&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;&lt;strong&gt;SOURCE&lt;/strong&gt; -- 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. &lt;ul&gt; &lt;li&gt;Included is a &lt;strong&gt;readme.txt&lt;/strong&gt;&amp;nbsp;with full descriptions of source data files.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;We acknowledge funding from NSF grant ICER-1663807, NASA grant 80NSSC17K0698,&amp;nbsp;&lt;/p&gt;</dct:description>
    <dct:description>v1.2.1 corrects Table S6 units/description in readme file (in SOURCE)</dct:description>
    <dct:description>{"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"]}</dct:description>
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