That is available through a drat repository on GitHub. This package depends on data in a data package ( hurricaneexposuredata) To generate BibTex entries for the packages, you can use the citationįunction in R. hurricaneexposuredata: DataĬharacterizing Exposure to Hurricanes in United States Counties. R packageĪnderson B, Schumacher A, Crosson W, Al-Hamdan M, Yan M, Ferreri J,Ĭhen Z, Quiring S and Guikema S (2020). hurricaneexposure: Explore and MapĬounty-Level Hurricane Exposure in the United States. The two packages canĪnderson B, Yan M, Ferreri J, Crosson W, Al-Hamdan M, Schumacher AĪnd Eddelbuettel D (2020). Improved ways to measure tropical storm exposure. Used, as this will make your research project more reproducible, and theĭata will likely be updated as we get further years of data and find Particular, be sure to include the version of the packages that you ( hurricaneexposuredata) for research, please cite both packages. If you use this package and the data in the associated data package Identify all storms that brought wind of 34 knots or higher to User-specified thresholds (for example, the package allows the user to Identify all storms to which selected counties were exposed, based on Users can map exposures by county for a selected storm and can also The storm track) for counties in the eastern half of the United States. Number of storm hazards (e.g., wind, rain, flood events, distance from Understanding the scope and severity of storm effects helps inform the decisions FEMA and local emergency managers make as they assess damage and develop recovery strategies.This package allows users to explore and map data of county-levelĮxposures to Atlantic-basin tropical storms between 19 for a These images can help emergency response activities because they show, in near real-time the location and extent of damage in an area. Since its 1997 debut, data collected by “Gonzo” has been used to improve hurricane landfall and track forecasts by approximately 20%, saving countless lives and millions of dollars in emergency services costs.Īfter a storm, NOAA’s National Geodetic Survey (NGS) deploys a small, nimble aircraft with high resolution digital cameras and other critical technology to capture post-storm images. “Gonzo,” a small and fast Gulfstream aircraft flies at high altitudes to gather information about weather in the upper atmosphere, including systems which can steer hurricanes either toward a coastline or out to sea. In addition to Kermit and Miss Piggy, NOAA has additional aerial assets it deploys before and after a hurricane makes landfall. Data Helps Preparation, Response and Recovery Additionally, emergency managers use these forecasts to determine who should evacuate and when evacuations should happen. In turn, FEMA and state and local emergency managers use these forecasts to pre-position lifesaving and life-sustaining resources to communities in the storm’s path. This information is critical to the National Hurricane Center’s job of developing hurricane forecasts. Together, these systems allow forecasters and researchers to see the storm’s multiple layers and internal structures. The first radar system scans the storm horizontally, the second vertically. ![]() The planes also feature Doppler radar system on both the belly and tail of the aircraft. Kermit, Miss Piggy and Gonzo grace the nose of several NOAA hurricane hunter aircraft.
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