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Mine Warfare Databases

Mine Warfare Databases. RDML Thomas J. Wilson, III Oceanographer of the Navy. Agenda. Requirements Databases Applications Challenges. Strategic Collection Requirements Process. CMWC/ FLEETS. CNO N096. CFFC. Validates/Prioritizes Survey Requirements for execution.

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Mine Warfare Databases

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  1. Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

  2. Agenda • Requirements • Databases • Applications • Challenges . .

  3. Strategic Collection Requirements Process CMWC/ FLEETS CNO N096 CFFC • Validates/Prioritizes Survey Requirements for execution • Generates strategic MIW Requirements for • Q-Routes, SLOCs, CVOAs, AOAs, Ports COMNAVMETOCCOM NAVOCEANO • Prepares survey/production plan

  4. MCM Data Collection Tactical Contingencies Increased Hostilities Operational Battle Space Preparation (CVOAs, AOAs) Strategic Q-Routes, SLOCs, Ports

  5. 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

  6. Nominal Refresh Requirements Arabian Gulf Analysis: -- Strong Currents -- Heavy Vessel Traffic -- Sediment Deposition 3 yrs 8 yrs 3 yrs Q-route location can minimize refresh requirements

  7. Database Ownership Maintained by: Data Sets: MEDAL Databases: Tactical Areas, Assets, Contacts, Plans Clearance Evaluations, Risk Assessments Fleet Users Tactical MCM Bathymetry, Bottom Characteristics Water Currents, & Water Properties NAVO Environment Hunt & Sweep parameters & related performance (Py data) System Performance CSS Contact data and related imagery (if available) CMWC/NAVO Contact Survey Areas, Contacts, Notes, Worksheets, plans, etc. Everything of a specific operation Mine Threat Environment

  8. Winter Summer 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

  9. 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)

  10. Plans Application to Tactical Planning GCCS-M MEDAL Segment Environmental Folders • Bathymetry • Bottom Characteristics • Water Currents • Physical Properties (SVP) • Acoustics (minesweeping) • Magnetics (minesweeping) • Atmospherics • Bottom Features Route Survey Contacts MCM Plans Directory Environment MCM Plan Tracks Mine Threat Transparent, Pre-Built, A/B Worksheets Percent Clearance UCPLN Equipment Time UCPLN Module

  11. Environmental Databases Drive Tactics and Timelines Side Scan Sonar Imagery Must ASSUME Without “a priori” information “B1” Actual MIW Bottom Types B1 B2 B3 B2 B3 B1 Clearance Level Realistic Time/Risk Assessment A3 A2 Time Change Detection/Accurate Characterization results in up to 45% Reduction in Clearance Timeline

  12. 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

  13. B3 B1 A1 Challenges • Data collection in forward areas • Improved Database Management • Allied Cooperation and Data Exchange • Digital High Resolution Databases… … Analog Tactics: + = Q-Route Survey Log (Pre-1996) Digital Imagery Doctrinal Bottom Types

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