Navy Modeling Activities

Presented by Erick Rogers“Ocean Dynamics and Prediction” Branch of the Oceanography Division of the Naval Research Laboratory

Forecasting Systems

Fleet Numerical (official forecasts) Naval Oceanographic Office (official) Naval Research Laboratory

(technology demonstrations, realtime but pre-operational products)

FNMOC (Fleet Numerical Meteorology and Oceanography Center) (Monterey, CA)

FNMOC wave models: limited to global and regional

Example FNMOC web page

FNMOC wave products

Example FNMOC product (output from global model)

FNMOC wave products

Example FNMOC web page (output from one regional model)

FNMOC wave products

Example FNMOC product (output from one regional model)

FNMOC meteorological products

Example FNMOC product (surface winds from one regional model)

NAVO (Naval Oceanographic Office)

NAVO wave models: (officially) limited to sub-regional and coastal applications

Example NAVO web page and graphic from a sub-regional application (SWAN)

The Naval Research Laboratory

• Navy’s corporate laboratory

• Three campuses:

• Washington DC

• Stennis Space Center, MS

• Monterey, CA

• Basic (6.1) through applied (6.2) research, technology transfer (6.4), technology demonstration

• Primary funding from ONR

• Compete internally for block funding from ONR (very competitive)

• Make up remainder with funding from SPAWAR (6.4) or direct proposals to ONR programs (also very competitive)

Circulation modeling at NRL

Example NRL realtime circulation model webpage (Global NCOM)

Circulation modeling at NRL

Example NRL realtime circulation model graphics (Global NCOM). Potential uses:• search and rescue • spill mitigation

NRL Oceanography Division, Waves Group

Richard A. Allard (6.4) – Transitions of technologies to operations; rapidly relocatable modeling systems; head of coastal oceanographic modeling Section

James D. Dykes (6.4) – Transitions; Forecast system development; Delft3d implementation/validation; hindcasting; parallel computing; meteorological modeling

Kacey L. Edwards (6.1, 6.2) – Phase-resolved modeling; Nearshore breaking and nonlinear interactions

Y. Larry Hsu (6.4) – Transitions; Delft3d implementations; Navy Standard Surf Model; Lagrangian swell modeling; model validation

Paul Hwang (6.1) – Physical Oceanography; basic processes theoretical research; gravity-capillary waves; air-sea interaction; airborne remote sensing of waves

James M. Kaihatu (6.1, 6.2) – Phase-resolved model development; nearshore breaking and nonlinear interactions; data assimilation; wave-induced circulation; AUVs

W. Erick Rogers (6.2, 6.4) – Phase-averaged model development/validation; global, regional, sub-regional applications; remote sensing applications; forecasting systems

Jay Veeramony (6.1, 6.2) – Phase-resolved model development; turbulence and vorticity; nonlinear interactions; surf zone processes; nearshore wave breaking

David Wang (6.1) – Physical Oceanography; ship-borne experiments; data processing; basic processes research; sea-swell separation; extreme waves; wavelet and HHT

NRL Oceanography Division, Waves Group: Model Suite

Global, regional wave applications WAVEWATCH-III WAM (phasing out)

Subregional, coastal wave applications SWAN STWAVE (phasing out)

Wave-induced circulation Delft3D 1D Surf Model (phasing out)

Research codes REF/DIF1, REF/DIF-S, REF/DIF-SNL Boussinesq models (time-domain and frequency

domain)

Coastal Storms Program (CSP) (Sponsor: NOAA)

NRL Washington/Oregon Wave Forecasting System

Example forecast: 1200 UTC June 17 2005

http://www7320.nrlssc.navy.mil/CNW/

CSP Wave forecasting system

2D Graphics: Wave height, mean direction, wind speed, direction

Forcing from NCEP regional model

WA/OR system is one of three systems created by NRL for NOAA. (Support to NRL ~30k/yr)

CSP Wave forecasting system

6 Computational Grids for the WA/OR System:• 1 outer grid• 1 shelf grid• 3 3rd level nest• 1 4th level nest

CSP Wave forecasting system

Mouseover to view• prior analyses• present analysis• forecasts

Example 2D Graphic

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

CSP Wave forecasting system

Wave forecasts for the Columbia River nest include water level and current forcing provided by the Oregon Graduate Institute (available as experimental product on ftp site)

CSP Wave forecasting system

CSP Wave forecasting system

Example current forcing for experimental Col. R. nest

Wave Climatologies

Climatologies (Jim Dykes)

Climatologies (Jim Dykes)

From global climatology database

Model Development, Validation, and Related Research

Example of research and model development: Wave Propagation Over Viscous Muds

Collaborators: Alexandru Sheremet, Louisiana State University

Jim Kaihatu, Erick Rogers, NRL-Stennis

Cassino Beach, Brazil

Less mud, more breaking

More mud, less breaking

Formula describing wave attenuation by viscous mud layer has been implemented and tested in SWAN wave model. (Validation forthcoming)

Spectrum from WW3(NW location)

Spectrum from WW3(SW location, used to force SWAN)

CDIP buoy(NW location)

This component not measured by nearby CDIP buoyshown here

Spurious swell component exists here also

Spurious swell from southwest exists in the boundary forcing from WW3 ENP model

Oct 22 – Nov 8: study of swell forcing

Investigations of Wave Model Error, first example

Model uses DIA, but spreading is not overpredicted in the mean

Advanced validation of wave models: validation of directional spreading

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QuikSCAT data within ±6 hours of analysis time

Gaps filled in by blending with operational NOGAPS analyses

Wind analysis for Jan. 21. 1500Z, 2003

Utilizing remote sensing to determine source of model error

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Utilizing remote sensing to determine source of model error

Winter 2001/2002

Utilizing remote sensing to determine source of model error

SWAN error comparison at gage 10 (= normalized rms error)

baseline: REF/DIF model (no diffusion) =0.17

Equal resolution (xy=200m) BSBT

=0.74 SORDUP

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Equivalent computation time BSBT (xy = 100 m)

=0.55 SORDUP (xy =

100m ) =0.26

SL1 (xy = 400 m ) =0.42

is a measure of relative erroris a measure of relative error

Investigations of Wave Model Error, second example

Evaluation of SWAN and WAVEWATCH3 for Hurricane Ivan (this is WW3)

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Wave measurements in the eye of Hurricane Ivan

The End

6.2 ONR / 6.4 SPAWAR

Objective: Develop a nowcasting system for nearshore waves and circulation which combines bathymetry melded from various sources (including on-scene UUVs) with a nearshore modeling system forced by an integrated ocean predictionsystem

Approach:

• Evaluate Delft3D nearshore modeling system and integrate it with forcing fromDIOPS regional modeling system• Develop standalone implementation of modeling system which allows localobservations to be input as forcing for real time nowcast• Develop methodologies to meld UUV bathymetry with historical data and provideestimate of error

Project Title: Development of an AUV-Fed NearshoreNowcasting System

Co-investigators:

• Jim Kaihatu, Richard Allard, Todd Holland (7440), Brian Bourgeois (7440)

Application to CJTFEX 2004

• DIOPS SWAN forcing Delft3D

• Delft3D set up in UUV operating areas

Delft3D forecast waves and currents every 6 hours Sig. Wave

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Bathymetry updated with UUV measurements

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6.2 ONR / 6.4 SPAWAR Project Title: Development of an AUV-Fed Nearshore Nowcasting System

Generational Improvement in Operational Forecasting Capability

Previous nearshore operational capability: Navy Standard Surf Model One-dimensional Overly constrained: breaking waves

longshore currents Delft3D system now embedded at

Mission Support Center Communicates with DIOPS MSC scientists trained on DIOPS and Delft3D

Example Development/Validation Project: Random Wave Forcing of Nearshore Circulation

Validation of the REFDIFS-SHORECIRC combination atDuck94.

Top panel is the model-predicted magnitude of the cross-shore velocity.[red is shoreward (to the left), blueis seaward (to the right)]

Bottom panel is the velocity profile of the current (solid lines) comparedto measurements (+).

6.2 ONR / 6.4 SPAWAR Project Title: Development of an AUV-Fed Nearshore Nowcasting System

Bathymetric Update

Delft3D

DIOPS

Matlab Graphics Output

Automatically run for forecast cycle

Bathymetric Interpolator by Holland, et al.

Delft3D

Bathymetric Update

Delft3D

Transport to scene

Matlab Graphics Output

Wave input based on local observations

DIOPS for Tides

Bathymetric Interpolator by Holland, et al.

Coupled DIOPS/Delft3D System Standalone Delft3D

WW3 Significant Wave Height SE Asia, SeptemberResolution: 1 deg spatial, 3 hr temp

James Dykes, NRL-SSC, provided original plots . NRL-SSC will build 10 yr WW3 data sets for selected enclosed basins, such as Persian Gulf, at .2 deg.

Still need longer time period and higher resolution in space and time.

Long Term Mean (1993-2002)

Anomaly 1999 (La Nina)Anomaly 1997 (El Nino)

Climatologies

Climatologies (Jim Dykes)Domain for Med Sea10-year runs 1992 – 2002 pending