DOI: 10.5281/zenodo.4543662
title: Data Supporting: "Economic Damages from Hurricane Sandy Attributable to Sea Level Rise Caused by Anthropogenic Climate Change"

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