Sarops+EDS by liaoxiuli

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									              SAROPS
                EDS
      Environmental Data Server
                 .

Richard Schaefer
Art Allen
United States Coast Guard – Office of
Search & Rescue


Eoin Howlett
ASA
        USCG
Area of Responsibility
    Search & Rescue Problem
   Create a SAR case when alerted
   Gather data, estimate uncertainties
   Use model to determine search area
   Estimate resource availability and
    capability
   Plan the next search
   Promulgate the search plan
   Perform the search plan
   Evaluate the completed search
   Repeat above until survivors are found
    and rescued
               Coast Guard Wide

                                            Lives Lost

               Lives   Before       After       Total    Unaccounted
FY    Cases
               Saved    CG           CG                      for
                                .
‘03   31,562   5,104    409         246         655         481


’04   32,517   5,555    502         277         779         676


’05   29,780   5,648    521         320         841         606

’06   28,316   5,260    476         310         786         667
              CG Wide

1) 3 searches / day = ~ 1000 / yr
2) 3 persons lost / day = ~ 1000 / yr
3) Costs $10k/hr to search
  • $10k/hr x ~1000 x ~ 3 hr = ~ $30M
4) Value of Statistical Life = $3M
  • 1000 x $3M = ~ $3B
            CG Wide

1) Assume 100 persons involved / yr
  with sub-optimal search areas
2) Assume 22% POS now “typical”
3) 22 save/100 vs. 48/100 vs. 67/100
4) Save 26 to 45 additional persons / yr
  • ($ 78M – $135M VSL)
       USCG Data Parameters
 Oceanographic                    Purpose:
                                  Search and Rescue Planning
 Purpose:                         Water level - tides and
 Search Object Drift and          meteorological
 survival prediction parameters   Wave - Direction (sea/swell)
            Sea
Currents- -Sea Surface
 Currents                         Wave - Maximum height
 Surface/Subsurface               Wave - Peak period (sea/swell)
 Turbulent dispersion             Wave - Significant height
 coefficient                      (sea/swell)
 Turbulent kinetic energy         White cap probability
                                  Ice Cover
 Turbulent velocity variance
                                  Ice Type
 Temperature - Sea                Ice Thickness
 Surface/Subsurface
                                  Salinity
 River discharge                  Turbidity
       USCG Data Parameters
Atmospheric                      Dew point temperature
                                 Wind chill
Purpose:
                                 Icing potential
Search and Rescue Planning
                                 Precipitation type/rate
Surface Wind Speed (10m)
Surface Wind speed / gusts       Relative humidity
Wind stress                      Atmospheric pressure
                                 Visibility
Wind turbulent kinetic energy
                                 Ceiling altitude
Surface air temperature          Total Cloud Cover
Air temperature daily max/min    Cloud Layers
                                 Winds aloft (Altitudes of 5000 ft
Area forecast information
                                 and greater)
Most recent summary of current   Icing/Freezing layer
conditions
                                 Electromagnetic refractive index
Weather Type                     (ERI)
 SAROPS EDS Data Server
•Access to global/regional current and wind data

• Data from NOAA, NAVY, USCG, Regional
Associations, Universities and commercial
providers
•Observation Data (NDBC buoys, satellite,
drifters, Sea Surface Radar, etc.)
•Operational Forecast Model Data
•Seasonal data
•Tidal databases (harmonic databases)
•Aggregation, Objective Analysis Tools
    Example EDS Data Sources
   Winds
    • FNMOC NOGAPS
    • FNMOC COAMPS
    • NOAA NCEP NAM
    • NOAA NCEP GFS
    • NDBC Buoys
    • Regional Models (e.g GLERL)
    Other… NWS – NDFD, commercial

   Currents
    • NAVO Global NCOM
    • NOAA NCEP HYCOM
    • ADCIRC
    • CODAR
    • Regional Models (e.g. GLERL)
    Other… Satellite Data (AOML), commercial
                   EDS Services

Global Product   Coastal Product   Aggregated Product   Regional Product




  SLDMB’s                                                    Surface Radar
                       EDS Services

Global Product      Coastal Product    Aggregated Product   Regional Product




  SLDMB’s                                                        Surface Radar




             NAVY Global NCOM Served
             via EDS Data Service
                         EDS Services

Global Product        Coastal Product   Aggregated Product   Regional Product




  SLDMB’s                                                         Surface Radar




            Tidal AdCIRC served
            via EDS Data Service
                       EDS Services

Global Product      Coastal Product   Aggregated Product   Regional Product




  SLDMB’s                                                       Surface Radar




            Global NCOM and ADCIRC
            via EDS Aggregation
            Service
                         EDS Services

Global Product       Coastal Product     Aggregated Product   Regional Product




  SLDMB’s                                                          Surface Radar




            Great Lakes Regional Model
                   EDS Services

Global Product   Coastal Product   Aggregated Product    Regional Product




                                        Aggregation of
                                        short and long
  SLDMB’s                               range CODAR           Surface Radar
                   EDS Services

Global Product   Coastal Product   Aggregated Product   Regional Product




                                                         Objective Analysis
                                                         on Drifting Buoy
  SLDMB’s                                                Data
                                                              Surface Radar
EDS connected to Web Client




               Access to EDS global/regional current
               data via browser
                         Architecture
       SAROPS Client                SAROPS Client                        Web Client




                                           Internet




          Web Service XML Request                     NetCDF Data

•Data Service                      COASTMAP Web
                                      Services
•Spatial Aggregation Service
•Temporal Aggregation Service                                                         Winds
•Objective Analysis
                                                                                      Currents
                                                                                      Drifters
                           Environmental                 COASTMAP
                             Database                   Catalog Server

                                                           Catalog                    Weather
               Data Needs
   Good Data, readily available, timely,
    quality-controlled, and validated!
   Global coverage, offshore data as well
    as high resolution coastal data
   Observation data connected to model
    data
   Available in a standard format from a
    fast server
   Measures of Uncertainty/Error
   Live Archive of nowcast and forecast
    (3 months)
   Implementation Issues
•Need for conventions! And metadata! And
Catalogs!
•Too much converting and duplicating data…….
•Not all NetCDF/GRIB (OPeNDAP) sources are
equal
•Specifying geospatial coordinates and "time" in
the formats commonly used (NetCDF, GRIB)
•Consistent metocean data formats and
distribution methods allows for the use of
disparate data for a variety of activities
•Important to integrate different tools and data
(Interoperability), web services enables that.

								
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