2017 ESIP Winter Meeting: Disaster Cluster Sessions

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Notes from 2017 Winter Meeting Disaster Sessions

Near Real Time Data for the Disasters Response User Community
2pm Disaster Cluster Session (Karen leading - Dave Jones remote)


Presentation & Discussion with David Green/NASA Applied Science for Disasters
Outcomes of NASA applied science efforts and 2016 workshop on low latency data needs

  • Addressing need for a timeline of disaster response efforts
  • Recent workshop on low latency datasets for time-sensitive applications (104 participants)
  • definitions of near realtime (low latency)
    • 0-1 hours (realtime)
    • < 3 hours (near realtime)
    • 3-24 hrs -
  • NASA ESD endeavors to provide low latency data when small cost
  • NASA ESD mission to provide non-real-time data may outweigh near-real-time
  • NASA Mission support for NRT is secondary and considered as needed
  • Created an inventory of NRT - lots of datasets. How to identify/search/discover, and usable
  • Earthdata.nasa.gov - useful for NRT if you know how to use the site, but not so much for others
  • Recommendations for discoverability were prepared
  • Establishing a Latency Working Group
  • focus on use cases - how to address response “workflows”
  • need for “hazard” datasets (maybe special processing for low-latency datasets)

Questions/Comments

  • Phil Beilin in CA clearinghouse - how to get involved with latency project?
  • GSFC (name?) - has similar ideas to help identify relevant datasets for types of event
  • David looking at how the DAACs can do a better job of providing disaster relevant data
  • Gary Foley EPA - working with anyone from EPA? - some on ecological hazards - need more links


Presentation by Maggie Glasscoe/JPL - Earthquake activities
Cascadia Rising 2016 - Exercise Timelines and Product Deliveries

  • Pre-defined events so timeline is known in advance - for purpose of exercise, but not reacting in realtime
  • FEMA national level exercise - M 9.0 quake in Cascade Subduction Zone
  • Upcoming Haywired 2017 (USGS) exercise
  • Timeline of the event - showing when various data sets are available
  • MSEL - master scenario event list - chronological order of events and injects that drive exercise play

Questions/Comments

  • Phil Bellin - cross-agency participation
  • David Green has the cluster been involved with exercises - participants, but not the cluster per se
  • David - emphasizing participation in exercises - recommended and useful, NASA has a south American exercise planned for later this year
  • (GSFC) will there be a call for participation in the exercise(s)? Funding available for staging or participating in exercises
  • Gary Fowler - can we get the data to the onscene coordinators? Important aspect.


Presentation by Tom Moran/AHC (All Hazards Consortium)
Fleet Response Working Group activities with ESIP

  • Coordination of utility outage response - between 30-120 responding organizations
  • using Storm Center’s GeoCollaborate application to help organize and expose the data for response
  • Testbed Project - getting response data to the participants
  • realtime weather/forecasts
  • state emergency declarations - must be in trucks to cross state lines
  • electric sector fleet movement info
  • live data updates from businesses - worked through liabilities
  • Open/closed status of private sector businesses (fuel, food, hotels, etc)
  • Dave Jones comments
  • evolved from ESIP testbed activity
  • leading to definition and identification of “trusted” data sources
  • need better ways to discover the datasets
  • need to address timeline issues discussed earlier
  • Improving Resiliency with better data - Data Driven Decision Making (3DM) - workshops
  • screen sharing approaches - leader/follower approach
  • private sector owns the technology and allows government participation
  • exploring NASA (and other) agency data that will be useful - in response to use cases
  • David Green comments
  • pick subset of decisions to address - e.g. Haiti earthquake was too complex with too many variables to be a good use case to get good results