Pierre Lermusiaux, Pat Haley, Oleg Logoutov, N.K. YilmazDivision of Engineering and Applied Sciences, Harvard University

Ocean Data-Model AWACS, Working Meeting June 30, 2006

http://www.deas.harvard.edu/~pierrel

AWACS Progress to Date:Modeling Set-Up for Ocean Dynamics for SW06-AWACS

(Middle Atlantic Bight Shelfbreak Front – Hudson Canyon):

1. HU AWACS Research Goals and Objectives, Papers2. Tidal forcing3. Modeling and Data Domains, Bathymetry4. AWACS Web-Page, Group exchanges and Action items

Present Collaborators: Glen Gawarkiewicz

Phil AbbotKevin Heaney

C-S Chiu

Harvard AWACS Research Goal and Objectives

Goal: Improve modeling of ocean dynamics, and develop and evaluate new adaptive sampling and search methodologies, for the environments in which the main AWACS-06, -07 and -09 experiments will occur, using the re-configurable REMUS cluster and coupled data assimilation

Specific objectives are to (in blue, focus for today):i. Evaluate current methods and develop new algorithms for adaptive environmental-acoustic

sampling, search and coupled DA techniques (Stage 1), based on a re-configurable REMUS cluster and on idealized and realistic simulations (with NPS/OASIS/Duke)

ii. Research optimal REMUS configurations for the sampling of interactions of the oceanic mesoscale with inertial oscillations, internal tides and boundary layers (with WHOI/NPS/OASIS)

iii. Develop new adaptive ocean model parameterizations for specific AWACS-06, -07 and -09 processes, and compare these regional dynamics (with WHOI)

iv. Provide near real-time fields and uncertainties in AWACS-06, -07 and -09 experiments and, in the final 2 years, develop algorithms for fully-coupled physical-acoustical DA among relocatable nested 3D physical and 2D acoustical domains (with NPS)

v. Provide adaptive sampling guidance for array performance and surveillance (Stage 2), and link HU research with vehicle models and command and control

Manuscript Published, Accepted or Submitted(With AWACS Support)

Lermusiaux P.F.J., C.-S. Chiu, G.G. Gawarkiewicz, P. Abbot, A.R. Robinson, R.N. Miller, P.J. Haley, W.G. Leslie, S.J. Majumdar, A. Pang and F. Lekien, 2006. Quantifying Uncertainities in Ocean Predictions. Special issue of Oceanography on “Advances in Computational Oceanography”, Dr. Terri Paluszkiewicz and Dr. Scott Harper (Office of Naval Research), Editors. Eds., Vol. 19, 1, 92-105

Lermusiaux P.F.J., 2006. Uncertainty Estimation and Prediction for the Interdisciplinary Ocean. Special issue of the J. of Computational Physics on “Uncertainty Quantification”. James Glimm and George Karniadakis, Eds. In Press.

Lermusiaux P.F.J, 2006. Adaptive Sampling, Data Assimilation and Adaptive Modeling. Special issue of Physica D, on “Mathematical Issues and Challenges in Data Assimilation for Geophysical Systems: Interdisciplinary Perspectives”. Christopher K.R.T. Jones and Kayo Ide, Editors, Accepted with revisions.

N.K.Yilmaz, C. Evangelinos, P.F.J. Lermusiaux and N. Patrikalakis, 2006. Mixed Integer Linear Programming (MILP) Path Planning of AUVs for Adaptive Sampling. IEEE Ocean Engineering. Under review.

N.K.Yilmaz, P.F.J. Lermusiaux and N. Patrikalakis, 2006. Mixed Integer Linear Programming (MILP) Path Planning of AUVs for Adaptive Sampling: Part II. IEEE Ocean Engineering. Under review.

N.K.Yilmaz et al, 2006. Path Planning for Adaptive Sampling in the Ocean, Oceans06, In prep.

• Estimate barotropic tidal forcing (8 principal tidal constituents) via a shallow water model1. Take Global TPXO5 fields (Egbert, Bennett et al.)2. Regional OTIS inversion with high-resolution bathymetry

- Using TPX05 at open-boundary (forward model only)- Using tidal-gauges and TPX05 at open-boundary (generalized inverse)

3. Regional OTIS inversion with high-resolution bathymetry

• Input barotropic tidal forcing (velocities and phases) into ocean model HOPS and hierarchy of tidal parameterizations:i. Vertical tidal Reynolds stresses (diff., visc.) KT = α ||uT||2 and K=max(KS , KT)ii. Modification of bottom stress τ =CD ||uS+ uT || uS

iii.Horiz. momentum tidal Reyn. stresses Σω (Reyn. stresses averaged over own Tω)iv.Horiz. tidal advection of tracers ½ free surfacev. Forcing for free-surface HOPS full free surface

• HOPS dynamics leads to baroclinic tidal effects in response to barotropic tidal forcing

Modeling of Tidal Effects in HOPS

Shallow water equations in the frequency domain

New HU code implemented in Matlab

whereopen boundary forcing:

Inverse solution found as:

where

Reference: Egbert G.D. and S. Erofeeva (2002). Efficient Inverse Modeling of Barotropic Ocean Tides. J.Atm.Oc.Tech., Vol. 19, pp. 183-204.

Dynamic error covarianceAdjoint of dynamics

Observational error covariance

Tidal Inversion

Principal Lunar Semi-diurnal

Larger Lunar elliptic Semi-diurnal

Principal Solar Semi-Diurnal

Luni-Solar diurnal Diurnal

G1

G2

G3

G4

G5

G6

Harv

ard

Box

(100

kmx1

00km

)

ScanfishTrack

Preliminary Ocean Sampling Plans for AWACS/SW06Glider, Scanfish Track and HU High-Res Model

Old Model Domains overlaid on Bathymetry(NOAA soundings combined with Smith and Sandwell)

NEW Model Domains overlaid on Bathymetry(NOAA soundings combined with Smith and Sandwell)

NEW AWACS06 Domain overlaid on Bathymetry(NOAA soundings combined with Smith and Sandwell)

1

23

4

5

6

http://oceans.deas.harvard.edu/AWACS/index.html

AWACS: Harvard Web-PageAdaptive Sampling and Search Using Predictive Models with

Coupled Data Assimilation and Feedback

• Maintain access to ii) progress-to-date and ii) real-time information

• Convenient download of model outputs, plots, model files

• Could be a location where ocean data are downloaded and maintained (password protected)

• Allows exchange of information: e.g. adaptive sampling recommendations

** Data- Positions (lat, lon) of main observation sites- All info on data Web site(s)- Data formats- Atmos. forcings- Common data: bathymetry, etc

** Cross-disciplines communications- Keys: brief statements from each system component (ocean environment, acoustics, signal

processing, control, etc) on important key properties the adaptation needs to focus on.- What does each PI need from other PIs

** Common software: exchange information favor coordinations and avoid too many duplicate efforts (OA's, acoustic models, adaptive sampling schemes, etc).

** Experiment and Test plans- Carry out an adaptive survey and a fixed survey for the ocean simultaneously (separate

assets into 2 pools for data denials)- Utilization of multiple platforms and sensors may require formal cross-calibrations plans

(bio-fouling, salinity sensors, etc). One example is to force platforms to meet every so often in small groups at the same place to measure the same thing for a short period (e.g. 1 Remus, 1 ship CTD and 1 glider carry the same profile).

Group Action Items

** Data• Collect and analyze (OA) synoptic larger-scale coverage data sets (NMFS, Rutgers, etc)• Collect positions (lat, lon) of main observation sites• Continue to set-up AWACS WebPage• Collect Atmospheric forcing files• Finalize bathymetry

** Model set-up•Finalize barotropic tidal estimates•Finalize set-up of model domains, vertical grid coordinates and horizontal resolutions•Finalize initialization procedure•Run nested free-surface ocean model with latest 06 data

** Obtain description of main AWACS-06 •Routine sampling missions•Adaptive sampling missions

**Seek feedback from AWACS team on our progress

Harvard Action Items