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      Impact of climate change on New York City’s coastal flood hazard: Increasing flood heights from the preindustrial to 2300 CE

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          Significance

          We combine downscaled tropical cyclones, storm-surge models, and probabilistic sea-level rise projections to assess flood hazard associated with changing storm characteristics and sea-level rise in New York City from the preindustrial era to 2300. Compensation between increased storm intensity and offshore shifts in storm tracks causes minimal change in modeled storm-surge heights through 2300. However, projected sea-level rise leads to large increases in future overall flood heights associated with tropical cyclones in New York City. Consequently, flood height return periods that were ∼500 y during the preindustrial era have fallen to ∼25 y at present and are projected to fall to ∼5 y within the next three decades.

          Abstract

          The flood hazard in New York City depends on both storm surges and rising sea levels. We combine modeled storm surges with probabilistic sea-level rise projections to assess future coastal inundation in New York City from the preindustrial era through 2300 CE. The storm surges are derived from large sets of synthetic tropical cyclones, downscaled from RCP8.5 simulations from three CMIP5 models. The sea-level rise projections account for potential partial collapse of the Antarctic ice sheet in assessing future coastal inundation. CMIP5 models indicate that there will be minimal change in storm-surge heights from 2010 to 2100 or 2300, because the predicted strengthening of the strongest storms will be compensated by storm tracks moving offshore at the latitude of New York City. However, projected sea-level rise causes overall flood heights associated with tropical cyclones in New York City in coming centuries to increase greatly compared with preindustrial or modern flood heights. For the various sea-level rise scenarios we consider, the 1-in-500-y flood event increases from 3.4 m above mean tidal level during 1970–2005 to 4.0–5.1 m above mean tidal level by 2080–2100 and ranges from 5.0–15.4 m above mean tidal level by 2280–2300. Further, we find that the return period of a 2.25-m flood has decreased from ∼500 y before 1800 to ∼25 y during 1970–2005 and further decreases to ∼5 y by 2030–2045 in 95% of our simulations. The 2.25-m flood height is permanently exceeded by 2280–2300 for scenarios that include Antarctica’s potential partial collapse.

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            An Introduction to the Bootstrap

            Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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              RCP 8.5—A scenario of comparatively high greenhouse gas emissions

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                7 November 2017
                23 October 2017
                23 October 2017
                : 114
                : 45
                : 11861-11866
                Affiliations
                [1] aDepartment of Marine and Coastal Sciences, Rutgers University , New Brunswick, NJ 08901;
                [2] bInstitute of Earth, Ocean, and Atmospheric Sciences, Rutgers University , New Brunswick, NJ 08901;
                [3] cDepartment of Meteorology and Atmospheric Science, The Pennsylvania State University , University Park, PA 16802;
                [4] dEarth and Environmental Systems Institute, The Pennsylvania State University , University Park, PA 16802;
                [5] eDepartment of Earth, Atmospheric, and Planetary Sciences, Program in Atmospheres, Oceans, and Climate, Massachusetts Institute of Technology , Cambridge, MA 02913;
                [6] fDepartment of Earth and Planetary Sciences, Rutgers University , Piscataway, NJ 08854;
                [7] gDepartment of Civil and Environmental Engineering, Princeton University , Princeton, NJ 08544;
                [8] hDepartment of Geosciences, The Pennsylvania State University , University Park, PA 16802;
                [9] iAsian School of the Environment, Nanyang Technological University , Singapore 639798;
                [10] jEarth Observatory of Singapore, Nanyang Technological University , Singapore 639798;
                [11] kDepartment of Geosciences, University of Massachusetts Amherst , Amherst, MA 01003;
                [12] lDepartment of Geology and Geophysics, Woods Hole Oceanographic Institution , Woods Hole, MA 02543
                Author notes
                1To whom correspondence should be addressed. Email: ajgarner@ 123456marine.rutgers.edu .

                Edited by Chris Garrett, University of Victoria, Victoria, BC, Canada, and approved September 1, 2017 (received for review March 3, 2017)

                Author contributions: A.J.G., M.E.M., R.B.A., and J.P.D. designed research; A.J.G. performed research; K.A.E., R.E.K., N.L., B.P.H., R.M.D., and D.P. contributed new reagents/analytic tools; A.J.G. analyzed data; and A.J.G., M.E.M., K.A.E., R.E.K., N.L., R.B.A., B.P.H., R.M.D., and J.P.D. wrote the paper.

                Author information
                http://orcid.org/0000-0002-4994-9271
                http://orcid.org/0000-0003-4016-9428
                http://orcid.org/0000-0002-5571-1606
                Article
                201703568
                10.1073/pnas.1703568114
                5692530
                29078274
                319cda53-6f98-4460-8f10-74dfe9315130
                Copyright © 2017 the Author(s). Published by PNAS.

                This is an open access article distributed under the PNAS license.

                History
                Page count
                Pages: 6
                Funding
                Funded by: DOC | National Oceanic and Atmospheric Administration (NOAA) 100000192
                Award ID: 424-18 45GZ
                Funded by: DOC | National Oceanic and Atmospheric Administration (NOAA) 100000192
                Award ID: NA11OAR4310101
                Funded by: National Science Foundation (NSF) 100000001
                Award ID: OCE 1458904
                Funded by: National Science Foundation (NSF) 100000001
                Award ID: EAR 1520683
                Funded by: National Science Foundation (NSF) 100000001
                Award ID: EAR 1625150
                Funded by: Community Foundation of New Jersey and David and Arleen McGlade
                Award ID: N/A
                Categories
                Physical Sciences
                Earth, Atmospheric, and Planetary Sciences
                From the Cover

                tropical cyclones,flood height,new york city,sea-level rise,coastal flooding

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