T67 Sea-Level Changes from Minutes to Millennia
Sunday, 19 October 2014
1:00 PM - 5:00 PM
306
TOWARD A MORE AQUATIC FUTURE: RISING SEAS AND COASTAL STORMS IN NEW YORK CITY
Paper number: T67-5
Program: Technical Sessions
Time: 1:50 PM – 2:05 PM
Authors
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Vivien Gornitz Presenting AuthorColumbia University/NASA Goddard Institute for Space Studies, New York, NY
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Radley HortonColumbia University/ NASA Goddard Institute for Space Studies, New York, NY
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D.a. BaderColumbia University, New York, NY
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C. LittlePrinceton University, Princeton, NJ
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Cynthia RosenzweigColumbia University/NASA Goddard Institute for Space Studies, New York, NY
Abstract
Sea level rise (SLR) components include global thermal expansion and local dynamic ocean heights from AR5 IPCC 2013 CMIP5 RCP4.5 and 8.5 data, revised estimates of ice mass loss from glaciers and ice sheets, gravitational/rotational/isostatic “fingerprints”, glacial isostatic adjustments, and land water storage. The projections simulate future sea level for three time slices, using two representative concentration pathways and 24 GCM models. The SLR projections, closely linked to hydrodynamic surge models, yield improved estimates of future coastal flooding probabilities. Sea levels at the Battery, lower Manhattan could reach 20 and 76 cm by the 2050s, and 33 and 147 cm by the 2080s for the 10th and 90th percentiles, respectively. Assuming no change in storm characteristics, higher sea levels would sharply increase the frequency and intensity of coastal flooding. Flood heights for the 100-year storm (stillwater) would rise from 3.4 m in the 2000s to 3.8-4.9 m by the 2080s (10-90 percentile), above NAVD88. The annual chance of today’s 100-year flood would increase from 1 to 1.7-12.7 percent by the 2080s. Future sea levels would significantly increase the area potentially at risk to flooding.
Providing planners with a broad range of science-based potential outcomes informs decision-making on different types of climate change adaptation, including infrastructure, taking into account adaptation lifetime and uncertainty estimates.