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9 results for “Hurricane Sandy”
High resolution WRF simulation of Hurricane Sandy (2012) wind during landfall
<p>A 96-hour high-resolution simulation of Hurricane Sandy was conducted using the Advanced Research version 3.3.1 of the Weather Research and Forecasting (WRF) model initialized at 1200 UTC 26 October 2012 (Johnsen et al., 2013) and using a horizontal resolution of 500 m. Domain size was 2,660x2,500 km with 150 vertical layers. The Yonsei University planetary boundary layer (PBL) scheme, the Noah land model, and the MM5 Monin-Obukhov similarity theory surface layer model were used. Cloud physics was modeled using WSM6 6-class microphysics with graupel. Convection parameterization was not used for this high-spatial-resolution simulation. National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) analyses were used for initialization and boundary conditions, with the latter updated every 6 hours.</p> <p>Data herein is a landfall-regime subset (Schiavone et al., 2016) of the full simulation. The spatial domain is 500x500 km containing the 50 lowest layers, with a time domain that spans the 12-hour period beginning at1200 UTC 29 October 2012 and with 3-hour time steps. Format is NetCDF containing detailed metadata. Three-dimensional meteorological field variables include the 3 wind components, potential temperature, water vapor mixing ratio, geopotential, and atmospheric pressure. Two-dimensional variables include horizontal wind components at 10 m AGL, potential temperature and water vapor mixing ratio at 2 m AGL, atmospheric pressure at the surface, terrain height, and the Coriolis sine latitude term, which is required to calculate potential vorticity.</p> <p>These WRF simulation data were used, along with WSR-88D Doppler radar data and surface wind observations, to demonstrate that roll vortices occurred in the atmospheric boundary layer over the landfall region during Hurricane Sandy's landfall period (Schiavone et al., 2020).</p>
Wave-like global economic ripple response to Hurricane Sandy - Data supplement
<p>This data set includes the raw data for the figures of the article "Wave-like global economic ripple response to Hurricane Sandy" (https://doi.org/10.1088/1748-9326/ac39c0).</p>
Data from: Quantifying human mobility perturbation and resilience in Hurricane Sandy
Human mobility is influenced by environmental change and natural disasters. Researchers have used trip distance distribution, radius of gyration of movements, and individuals' visited locations to understand and capture human mobility patterns and trajectories. However, our knowledge of human movements during natural disasters is limited owing to both a lack of empirical data and the low precision of available data. Here, we studied human mobility using high-resolution movement data from individuals in New York City during and for several days after Hurricane Sandy in 2012. We found the human movements followed truncated power-law distributions during and after Hurricane Sandy, although the β value was noticeably larger during the first 24 hours after the storm struck. Also, we examined two parameters: the center of mass and the radius of gyration of each individual's movements. We found that their values during perturbation states and steady states are highly correlated, suggesting human mobility data obtained in steady states can possibly predict the perturbation state. Our results demonstrate that human movement trajectories experienced significant perturbations during hurricanes, but also exhibited high resilience. We expect the study will stimulate future research on the perturbation and inherent resilience of human mobility under the influence of hurricanes. For example, mobility patterns in coastal urban areas could be examined as hurricanes approach, gain or dissipate in strength, and as the path of the storm changes. Understanding nuances of human mobility under the influence of such disasters will enable more effective evacuation, emergency response planning and development of strategies and policies to reduce fatality, injury, and economic loss.
Data from: Performance of social network sensors during Hurricane Sandy
Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow and derive early-warning sensors, thus improving emergency preparedness and response. Performance of the social networks sensor method, based on topological and behavioral properties derived from the "friendship paradox", is studied here for over 50 million Twitter messages posted before, during, and after Hurricane Sandy. We find that differences in users' network centrality effectively translate into moderate awareness advantage (up to 26 hours); and that geo-location of users within or outside of the hurricane-affected area plays a significant role in determining the scale of such an advantage. Emotional response appears to be universal regardless of the position in the network topology, and displays characteristic, easily detectable patterns, opening a possibility to implement a simple "sentiment sensing" technique that can detect and locate disasters.
Data from: Performance of social network sensors during Hurricane Sandy
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Data from: Quantifying human mobility perturbation and resilience in Hurricane Sandy
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Data from: Piping Plover population increase after Hurricane Sandy mediated by immigration and reproductive output
<p>Evaluating population-level responses to conservation action following large-scale disturbance can improve the efficacy of future habitat conservation measures. In October 2012, Hurricane Sandy storm surges cleared vegetation and opened inlets through the barrier islands, Fire Island and Westhampton Island, New York, creating Piping Plover (Charadrius melodus) habitat. Storm effects prompted an island-wide stabilization project, which had the potential to negatively affect novel Piping Plover habitat. Certain sections of Fire Island were designed to create and/or improve habitat (hereafter, restoration areas) to mitigate possible habitat loss or degradation. Since Piping Plovers in New York appear to be habitat-limited, we anticipated positive population growth following habitat creation. From 2013–2018, we captured and banded 152 adults and 353 chicks, and monitored 279 nests and 160 broods. We developed an integrated population model to assess demographic processes in response to hurricane created-habitat (2013–2018) and the creation of restoration areas (2015–2018). We observed positive population growth in three of five years, and overall growth through the period (λ =1.13). Immigration and reproductive output were correlated with population growth (r = 0.92 [95% CI = 0.22–0.98], and 0.84 [95% CI = -0.47–0.95], respectively). Compared to the rest of the study area, restoration areas had higher chick survival, and lower nest survival and after second year site fidelity. The result was population growth in restoration areas (λ =1.14) similar to the whole study area. In the short term, restoration areas seemed to mimic natural Piping Plover habitat. Vegetation removal, an important process in renewing natural Piping Plover habitat, likely will be necessary to maintain habitat suitability. Efforts to increase immigration of new breeding adults into the system, and to improve reproductive output, primarily by habitat creation or maintenance, are likely to have the greatest local effect on population growth.</p>
The Efficacy of a Brief Resilience Training Program for Hurricane Sandy Disaster Responders
ClinicalTrials.gov study NCT02417051. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Data from: Piping Plover population increase after Hurricane Sandy mediated by immigration and reproductive output
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