mine warfare databases rdml thomas j. wilson, iii oceanographer of the navy

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

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

Mine Warfare Databases

RDML Thomas J. Wilson, III

Oceanographer of the Navy

Page 2: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

Agenda

• Requirements

• Databases

• Applications

• Challenges.

.

Page 3: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 4: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

Strategic

Q-Routes, SLOCs, Ports

Operational

Tactical

Contingencies

MCM Data Collection

Battle Space Preparation(CVOAs, AOAs)

Incr

ease

d H

ostil

ities

Page 5: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 6: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 7: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 8: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 9: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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)

Page 10: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 11: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 12: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

Page 13: Mine Warfare Databases RDML Thomas J. Wilson, III Oceanographer of the Navy

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

+ =