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NHC Data in GIS Formats



Data & Products

Please note these GIS datasets are provided as a convenience to users. Support for these data may not always be available or timely in nature. Please provide your feedback and need for NWS GIS data in this National Weather Service GIS Survey. For issues directly related to the datasets below, please contact us.



As of Wed, 18 Jan 2017 20:31:07 UTC  

Atlantic Eastern Pacific Archive
Advisory Forecast Track, Cone of Uncertainty,
and Watches/Warnings


Lines: metadata sample
Point: metadata sample
Cone: metadata sample
Watch/Warning: metadata sample
No current data
No current data
Advisory Wind Field

Surface Wind Field: metadata sample
Forecast Wind Radii: metadata sample
No current data
No current data
Preliminary Best Track

Cumulative Wind Swath: metadata sample
Track: metadata sample
Points: metadata sample
Wind Radii: metadata sample
No current data
No current data
Graphical Tropical Weather Outlook

metadata sample
Outlook areas (if any):   [shp] Atlantic
E Pacific
Wind Speed Probabilities

Points: 34 knot metadata sample
Polygons: 34 knot metadata sample
No current data

GRIB1 and GRIB2 data:  via HTTP  via FTP
Probabilistic Storm Surge‡*

metadata sample
No current data

GRIB2: via FTP
N/A
Potential Storm Surge Flooding (Inundation)
metadata sample
download instructions
interactive example with sample downloads
No current data
N/A
Breakpoints

metadata sample (updated for 2015)
2015 update:  [shp]  [kmz]  Interactive Map View
Storm Surge Communication Points

metadata sample (updated for 2015)
2015 update:  [shp]  [kmz]  Interactive Map N/A: New in 2015
XML logo GIS Data RSS Feed
description
Atlantic GIS Eastern Pacific GIS N/A
Active KML Feed (Google Earth)
description
All Tropical Cyclones: [kmz]

 Dataset in shapefile format only (delivered as a .zip file)
 Dataset in shapefile and kml/kmz formats
* Probabilistic Storm Surge is available when U.S. Hurricane Watches/Warnings are in effect

 Wind Speed Probabilities (WSP)

This dataset is available in shapefile and kml/kmz formats.

The wind speed probabilities data also can be found through the National Digital Forecast Database (NDFD) at the following locations:

Forecast Days GRIB2 Download Locations (HTTP & FTP)
1-3 http://weather.noaa.gov/pub/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.nhemi/VP.001-003/
ftp://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.nhemi/VP.001-003/
4+ http://weather.noaa.gov/pub/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.nhemi/VP.004-007/
ftp://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.nhemi/VP.004-007/

Technical information on accessing and using NDFD elements can be found at http://ndfd.weather.gov/technical.htm.

Additional Resources

Please provide your feedback and need for NWS GIS data in this National Weather Service GIS Survey. To see other National Weather Service data available in GIS formats, please visit www.weather.gov/gis.

The NOAA Ocean Service's nowCOAST project provides real-time links to many of these GIS datasets via WMS. More information on accessing these data is available here.

NOAA's Coastal Services Center maintains a detailed online interactive mapping tool called Historical Hurricane Tracks at www.csc.noaa.gov/hurricanes. This tool offers users the ability to search and display global tropical cyclone data. The information can also be downloaded in widely-used GIS data formats.

When using the Historical Hurricane Tracks tool, the left side bar allows you to query storms by their location, name, year, etc. Search options can easily be refineed for the storm (or storms) that are of interest to the user. Please note that the Historical Hurricane Tracks interface will not contain data for the current season until the storms have had their entire datasets analyzed. For example, the 2011 season should be online by early 2012.

Another good source of vulnerability maps and GIS data is NOAA's Digital Coast. This website provides data required by coastal resource management professionals, as well as the tools, training, and information needed to turn these data into useful information.

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