Hurricane Irma 2017 Collection

Quick Start
This is a collection of flood datasets to support hydrologic research for Hurricane Irma in Florida-Georgia, August-September 2017. The best way to start exploring this collection is by opening the Hurricane Irma 2017 Story Map [http://arcg.is/PSOKH]. It has separate tabs for the different content categories, and links to the relevant HydroShare resources within this collection.
For more information on this hurricane archive project, as well as links to Hurricanes Harvey and Maria data archives, see the CUAHSI public page on the Hurricane 2017 Archives. [1]

More Details
This is the root collection resource for management of hydrologic and related data collected during Hurricane Irma, primarily in Florida, Georgia, and neighboring states within the storm's wind swath. This collection holds numerous composite resources comprising streamflow forecasts, inundation polygons and depth grids, flooding impacts, elevation grids, high water marks, and numerous other related information sources. Building outlines (polygons) for the affected states are also provided, to help understand storm impacts.

The data providers for this collection are the NOAA National Weather Service, NOAA National Hurricane Center, NOAA National Water Center, FEMA, 9-1-1 emergency communications agencies, and many others.

User-contributed resources from 2017 US Hurricanes may also be shared with The CUAHSI 2017 Hurricane Data Community group [2] to make them accessible to interested researchers, Anyone may join this group.

This collection has been produced by work on a US National Science Foundation RAPID Award "Archiving and Enabling Community Access to Data from Recent US Hurricanes" [4].

References
[1] CUAHSI Projects > Hurricane 2017 Archives [https://www.cuahsi.org/projects/hurricanes-2017-data-archive ]
[2] CUAHSI 2017 Hurricane Data Community group [https://www.hydroshare.org/group/41]
[3] Hurricane Irma 2017 Archive Story Map [http://arcg.is/PSOKH]
[4] NSF RAPID Grant [https://nsf.gov/awardsearch/showAward?AWD_ID=1761673]