The 2017 Atlantic hurricane season was one of the most catastrophic ever.  Hurricanes Harvey, Irma, and Maria devastated parts of the regions they hit.  CUAHSI is hosting community data from 2017 Hurricanes Harvey, Irma and Maria to encourage collaborative research to better understand and plan for similar events in the future.  Hurricane Harvey produced the largest consecutive 5-day precipitation total ever recorded in the United States. Over 50 inches of rain fell in some places. Flooding and associated damage in the greater Houston area was extensive, with the storm extending across Texas and neighboring states.  Shortly after Harvey struck, Hurricane Irma cut across the Caribbean, Florida, and nearby states, also causing widespread devastation and flooding. This was followed by Hurricane Maria that devastated Puerto Rico.  In the days following these events, basic questions about flood inundation depths, extents, and impacts could not be answered because we currently lack the ability to collect important data and the ability to assimilate available data into decision relevant information.

Collections of data from these hurricanes have been established within the CUAHSI HydroShare community data repository to make them easily accessible for research. HydroShare is the archival system for results from this project. Curated research products published in HydroShare are citable for use in peer-reviewed journal articles, conference presentations and proceedings, and other formal publications. 

Hurricane Data can be accessed in HydroShare by searching one of the keywords Harvey2017, Irma2017, Maria 2017.  You can also join the CUAHSI 2017 Hurricane Data Community group in Hydroshare to see all the data shared with this group. Curated collections of data are in the following HydroShare resources: 

Hurricane Harvey Collection 

Hurricane Irma Collection

Hurricane Maria Collection 

  • Project Details

    This page describes the collections for hurricanes Harvey and Irma established through a U.S. National Science Foundation RAPID grant (Proposal Number: 1761673).  A separate grant Proposal Number 1810647 has established the collection for hurricane Maria. 

    These collections serve as a clearing house and go to point for Harvey and Irma hydrologic data and models to foster collaborative research to better understand these events, and to facilitate re-use of the data by multiple researchers.

    The data is intended to support evaluation and improvement of operational models as well as advances in research models of the hydrologic impacts of hurricanes.  They will also support methods for data assimilation to refine forecasts and better serve emergency response needs and allow for advancement in coupling of upland flood and tidal surge models.  Additionally, the diversity and scale of data represented provide a challenging use case to drive ongoing development and innovation in HydroShare cyberinfrastructure, addressing and responding to community needs.

  • Project Objectives

    The objective of the project was to assemble, document, and archive data from hurricanes Harvey and Irma within HydroShare to make them easily accessible for the broad hydrologic science community. The following specific objectives guided the work:

    1. Create a community repository for hydrologic data from Hurricanes Harvey and Irma
    2. Assemble, document, and archive hydrologic data from these hurricanes in Hydroshare
    3. Advance computer and information systems technology for the organization, integration and analysis of diverse data types from multiple sources
    4. Create a definitive and authoritative source of data that can be used for future hydrology, modeling, and forecasting case studies.
  • Contact / Get Involved

    Please contact with questions. 

    To share data you have for any of these hurricanes, add it to HydroShare, and use one of the keywords, Harvey2017, Irma2017, Maria2017 to associate it with these events.  

    You may formally publish your data in HydroShare which assigns it a citable digital object identifier. It will be reviewed for completeness by CUAHSI. Join the CUAHSI 2017 Hurricane Data Community group in Hydroshare and share your data with this group to make it visible to group members.  If you would like your data to be added to one of the curated collections above, contact  CUAHSI will then forward the request to the collection curators.  

  • Contributors
    • David Arctur, University of Texas at Austin
    • David Tarboton, Utah State University
    • Christina Bandaragoda, University of Washington
    • David Maidment, University of Texas at Austin 
    • Ray Idaszak, RENCI, University of North Carolina at Chapel Hill
    • Liza Brazil, CUAHSI
    • Martin Seul, CUAHSI
    • Tony Castronova, CUAHSI
    • Erika Boghici, University of Texas at Austin