mine warfare databases rdml thomas j. wilson, iii oceanographer of the navy
TRANSCRIPT
Mine Warfare Databases
RDML Thomas J. Wilson, III
Oceanographer of the Navy
Agenda
• Requirements
• Databases
• Applications
• Challenges.
.
Strategic Collection Requirements Process
• Prepares survey/production plan
CMWC/ FLEETSCFFCCNO N096
COMNAVMETOCCOM
NAVOCEANO
• Validates/Prioritizes Survey Requirements for execution
• Generates strategic MIW Requirements for
Q-Routes, SLOCs, CVOAs, AOAs, Ports
Strategic
Q-Routes, SLOCs, Ports
Operational
Tactical
Contingencies
MCM Data Collection
Battle Space Preparation(CVOAs, AOAs)
Incr
ease
d H
ostil
ities
MIW Survey Requirements
• CENTCOM– Total Survey miles : 620 nm– 90% Complete
• PACOM – Total Survey Miles: 458 nm– < 5% (Survey ops ongoing)
• NORTHCOM– Total Survey Miles: 1700 nm– 95% Complete
• EUCOM – Total Survey Miles: 3500 nm– NATO Survey Routes
3 yrs
8 yrs 3 yrs
Nominal Refresh Requirements
Arabian Gulf Analysis: -- Strong Currents -- Heavy Vessel Traffic -- Sediment Deposition
Q-route location can minimize refresh requirements
Database OwnershipDatabase Ownership
Hunt & Sweep parameters & related performance (Py data)
Bathymetry, Bottom CharacteristicsWater Currents, & Water Properties
Maintained by:Maintained by: Data Sets: Data Sets:Maintained by:Maintained by: Data Sets: Data Sets:
Contact data and related imagery (if available)
Areas, Contacts, Notes, Worksheets, plans, etc. Everything of a specific
operation
Tactical Areas, Assets, Contacts, Plans Clearance Evaluations, Risk
Assessments
MEDAL Databases:
Tactical MCM
Environment
System Performance
Contact Survey
Environment
Fleet Users
NAVO
CSS
CMWC/NAVO
Mine Threat
Environmental Databases
• Temperature/Salinity/SSP– 8 Million Profiles World-Wide. Used for SQQ-32 Performance Prediction
• Currents– Provinced Current Speed by Season.– Major Forcing Functions Which Effect Current
Speed Used for EOD & MNV Deployment
• Optics– ~ 400,000 Profiles Optical Profiles World-Wide Used for Optical Systems (AQS-24, MNV) and
Emerging Organic LIDAR (ALMDS, RAMICS, AQS-20A)
• Bathymetry– Worldwide varying resolutions Used to define Mineable Waters and Sensor
Allocation
Summer
Winter
Database Resolution
Element: Resolution*• Acoustic Imagery: < 10 cm• Bathymetry: 20 m/2% depth• Bottom Sediments : 100 m/0.003mm• Bottom Roughness: 100 m/ < 10 cm• Bottom Clutter: 100 m/ 3 per NM• Mine Burial: 100 m• SVPs: Per collection plan• Currents 100m/0.5kt• Optics: TBD
(* NWP 3-15)
Application to Tactical Planning
Environmental Folders
–Bathymetry
–Bottom Characteristics
–Water Currents
–Physical Properties (SVP)
–Acoustics (minesweeping)
–Magnetics (minesweeping)
–Atmospherics
–Bottom Features
Route Survey Contacts
Transparent,Pre-Built,
A/B Worksheets
Tracks
PercentClearance
Time
PlansMCM Plans Directory
Equipment
Mine Threat
Environment
UCPLN
UCPLN Module
MCM Plan
GCCS-M MEDAL Segment
Environmental Databases Drive Tactics and Timelines
““B1”B1”
B3B3
B2B2
B1B1
A3A3
A2A2
Must ASSUME Without “a priori” information
Actual MIW Bottom Types
Side Scan Sonar ImagerySide Scan Sonar Imagery
B1B2 B3
Time
Cle
ara
nce L
evel
Realistic Time/Risk Assessment
Change Detection/Accurate Characterization results in up to 45% Reduction in Clearance Timeline
Operation Iraqi Freedom Take-aways
• Revised Tactics from Sweeping to Hunting based on initial AN/AQS-14 data/Diver Reports
•Increase Percent clearance from ~50% to 80% and ~ 4:1 timeline reduction
• Through-the-Sensor (AN/AQS-14) tactical data collection was critical for safe navigation of humanitarian/supply ships into Umm Qasr
Challenges• Data collection in forward areas• Improved Database Management• Allied Cooperation and Data Exchange• Digital High Resolution Databases…
… Analog Tactics:
UNCLASSIFIED
UNCLASSIFIED
UNCLASSIFIEDUNCLASSIFIED
Master Contact DatabaseGeneration
B3B3
A1A1
B1B1
Q-Route Survey Log (Pre-1996)
Digital Imagery Doctrinal Bottom Types
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