News of Temperature & Moisture Sensors Thu, 07 Dec 2017 08:02:40 +0000 en-US hourly 1 of Temperature & Moisture Sensors 32 32 Visit Telops at The 2017 AGU Fall Meeting Thu, 07 Dec 2017 08:02:40 +0000 Continue reading →]]> 0 A Consumer’s Guide to Food Safety: Severe Storms & Hurricanes Wed, 06 Dec 2017 14:05:42 +0000 Continue reading →]]> 0 Tasca Resources Executes LWIR Imaging Technology Wed, 06 Dec 2017 08:06:28 +0000 Continue reading →]]> 0 Notorious climate skeptic under fire Tue, 05 Dec 2017 12:29:30 +0000 Continue reading →]]> 0 Professional Media Opt for High Definition Thermal Cameras Tue, 05 Dec 2017 08:05:37 +0000 Continue reading →]]> 0 E2S unique LED beacon for private fire systems and general signaling Mon, 04 Dec 2017 08:03:27 +0000 Continue reading →]]> 0 VAISALA’s OBSERVATION NETWORK MANAGER Sun, 03 Dec 2017 08:16:06 +0000 Continue reading →]]> 0 Using Targets for Infrared Measurement in Avionics Sat, 02 Dec 2017 08:05:00 +0000 Continue reading →]]> 0 Moisture in Paper Webs Fri, 01 Dec 2017 08:10:02 +0000 Paper converting is important in preparing paper manufactured from wood pulp at mills to be converted to usable paper products from note paper to paper cups, tags, tapes, labels and more.  Paper is the most widely used wrapping, writing, printing and packaging material in the world. Paper converters need to control moisture to maintain flatness […]

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In late October 2012, Hurricane Sandy took a sharp left turn into the coasts of New Jersey and New York, leading to 157 deaths, 51 square miles of flooding in New York City alone, and an estimated $50+ billion in damage (Bloomberg 2013; Kemp and Horton 2013). The name “Sandy” was retired, but risks to coastal cities for Sandy-like flooding remain. On the five-year anniversary of the storm, Climate Central has ranked the U.S. cities most vulnerable to major coastal floods using three different metrics:

1. The total population within the FEMA 100-year floodplain
2. The total population within the FEMA 100-year floodplain as augmented by sea level rise projections for the year 2050
3. The total high social vulnerability population within the same areas as group #2

Each analysis examined coastal cities with overall populations greater than 20,000. For the first one, we tabulated “at risk” population by overlaying 2010 Census block population counts against FEMA’s 100-year coastal floodplains (Crowell et al 2013) using methods adapted from Strauss et al (2012). FEMA 100-year coastal floodplains factor in storm surge, tides, and waves, and include all areas determined to have an at least one percent annual chance of flooding. Based on locations meeting these criteria and population density, New York City ranked first, with over 245,000 people at risk, followed by Miami and then Pembroke Pines, also in South Florida.

In our second analysis, we re-ranked cities based on which have the largest populations in the expanded areas that could be threatened in the year 2050 — due to sea level rise driven by climate change, plus nonclimatic factors such as local land subsidence. We determined these areas by using median local sea level rise projections for midcentury (Kopp et al 2014) under an unrestricted emissions scenario (“Representative Concentration Pathway 8.5”) to additively elevate the FEMA 100-year floodplain, and accordingly extend it as topography allows, following methods detailed in States at Risk: America’s Preparedness Report Card Technical Methodology. After this adjustment, New York City still had the greatest number of people on threatened land, followed by Hialeah, Florida and Miami. 36 cities in Florida placed in the top 50.

The top five cities with the greatest increase in population on land at risk when adding on sea level projections were New York City, with a difference exceeding 181,000, plus Hialeah, Boston, Fort Lauderdale, and The Hammocks, Florida.

The yellow, orange and red show areas at or below Sandy's peak flood elevation at The Battery.

Finally, we also ranked coastal cities by their “high social vulnerability” population within the areas delineated by our second analysis. High social vulnerability was determined using the Social Vulnerability Index developed by the Hazards and Vulnerability Research Institute, which incorporates 29 different socioeconomic variables to evaluate the ability of communities to prepare and respond to environmental hazards such as floods. New York City, Philadelphia, Houston, Baltimore, and Miami were ranked as the top five cities with the largest high social vulnerability populations within the future FEMA 100-year floodplain — and thus face a difficult double jeopardy over time.

Sea level rise is a key indicator and consequence of climate change.

To learn more about coastal cities at risk visit Climate Central’s States at Risk and Risk Finder.

Analysis by Scott Kulp, PhD and Benjamin Strauss, PhD. Dyonishia Nieves, Shari Bell, and Dan Rizza contributed to this report


Bloomberg, Michael. 2013. "A stronger, more resilient New York." City of New York, PlaNYC Report.

Crowell, Mark, Jonathan Westcott, Susan Phelps, Tucker Mahoney, Kevin Coulton, and Doug Bellomo. 2013. “Estimating the United States Population at Risk from Coastal Flood-Related Hazards.” In Coastal Hazards, edited by Charles W Finkl, 245–66. Springer. doi:10.1007/978-94-007-5234-4.

Kemp, Andrew C., and Benjamin P. Horton. 2013. "Contribution of relative sea‐level rise to historical hurricane flooding in New York City." Journal of Quaternary Science 28.6: 537-541.

Kopp, Robert E., Radley M. Horton, Christopher M. Little, Jerry X. Mitrovica, Michael Oppenheimer, D. J. Rasmussen, Benjamin H. Strauss, and Claudia Tebaldi. 2014. “Probabilistic 21st and 22nd Century Sea-Level Projections at a Global Network of Tide-Gauge Sites.” Earth’s Future 2 (8): 383–406. doi:10.1002/2014EF000239.

Strauss, Benjamin H, Remik Ziemlinski, Jeremy L Weiss, and Jonathan T Overpeck. 2012. “Tidally Adjusted Estimates of Topographic Vulnerability to Sea Level Rise and Flooding for the Contiguous United States.” Environmental Research Letters 7 (1). IOP Publishing: 014033. doi:10.1088/1748-9326/7/1/014033.

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