Presentation on theme: "IOOS / SURA Operational Panel Art Allen US COAST GUARD CG-5341 OFFICE OF SEARCH AND RESCUE 860-271-2747."— Presentation transcript:
IOOS / SURA Operational Panel Art Allen US COAST GUARD CG-5341 OFFICE OF SEARCH AND RESCUE Arthur.A.Allen@uscg.mil 860-271-2747
Of potential coastal modeling testbed activities; what 1– 2 year activities or products, would be most helpful to my operational mission?
Of potential coastal modeling testbed activities; what >2 year activities or products, would be most helpful to my operational mission?
Specific IOOS/SURA Testbed activities/ products; that are particularly useful (or not) to my operational mission?
USCG SAR Mission Environmental Data Challenges AOI (Area of Interest) dedicated to us by case – Cant predefine areal extend to model Reach back in time to start of incident. – Require archiving of now-cast fields AOR (Area of Responsibility) huge and extends offshore and into bays and harbors – No single product can provide this coverage Immediate access to data – Wait times of 10s of seconds, not minutes! 51 Operational Center, 1000 SAR controllers – Not oceanographers nor meteorologists
USCG SAR IT Challenges 0-2 years (growing to burst?) 30 sources of modeled currents & 6 sources of data based currents & 19 sources of winds & Resolution (file size) of the products Parameters used (SST, waves, shoreline, Met, 3- D…) All coming into EDS, archived, converted to NetCDF for immediate (<10 sec) access – unsustainable? Tools needed to compare current data to modeled currents, to select among the choices.
USCG SAR IT Challenges >2 years Ensemble products – By USCG or for the USCG? Modeled products (currents) Uncertainty – Provided by modelers? – Determined by USCGs data sources? Archived now-casts fields? – By whom? USCG (now), modelers, IOOS, Cloud? – How far back? Access on demand (pass through requests) to ?
What I like 1.A big Cyber Structure investment to tackle problems similar to my own. 2.A developing awareness of end user issues. 3.Developing cooperation among modelers 4.Inundation Modeling for Inland SAR