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AESOP: Assessing the Effects of Submesoscale Ocean Parameterizations. Scott Harper Code 322, Physical Oceanography Office of Naval Research firstname.lastname@example.org. Naval Requirements for Ocean Information.
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Code 322, Physical Oceanography
Office of Naval Research
The US Navy requires information about the ‘battlespace environment’ (BSE) on a variety of space and time scales, and would like predictions of the synoptic state of the BSE with up to a one week lead time.
While any particular application might require knowledge of only certain ocean characteristics on limited spatial scales, when one considers the breadth of Naval operations, the overall requirement can seem like “everything, anywhere.”
ASW (Anti-Submarine Warfare)
NSW (Naval Special Warfare)
MIW (Mine Warfare)
One goal of Code 32 is to fund the research necessary to address the future BSE knowledge requirements of the Navy, through a combination of 6.1, 6.2, and 6.3 funding dollars.
In 2003, the Processes and Prediction Division was re-organized to reduce the number of overall programs, formally eliminating ‘Remote Sensing’ and ‘High Latitude Dynamics’.
‘Ocean Optics’ and ‘Biology and Chemistry’ were combined to form the Optics and Biology program.
Marine Meteorology incorporated the atmospheric elements of the ‘Remote Sensing’ program
‘Physical Oceanography’, ‘Ocean Modeling and Prediction’, ‘High Latitude Dynamics’ and oceanographic elements of ‘Remote Sensing’ were consolidated into the new Physical Oceanography program.
The division now consists of four programs: Physical Oceanography, Marine Meteorology, Optics and Biology, and NOPP.
Three Major Thrust Areas:
• Boundary Layer Processes
Emphasis: Air/Sea interactions, mixed layer dynamics, bottom boundary-layer processes, flow interactions with topography, surface waves.
• Sub-Mesoscale Processes and Parameterization
Emphasis: frontal variability, internal waves, energy cascade processes, temperature/salinity spiciness, turbulence, mixing.
• Prediction Systems
Emphasis: nowcast and forecast modeling, assimilation, filtering, and adjoint methods, optimal and adaptive sampling, uncertainty.
We also consider the following two thrusts as areas of future growth:
Shallow water processes, highly nonlinear waves and internal waves, river plumes, estuaries.
Coupled ocean-acoustic modeling and transmission loss physics.
In addition to funding we have available through the PO core program, we look for other opportunities to support our efforts…
Note: our call for planning letters was delayed this year – the deadline for FY06 planning letters will likely be April 15th.
New Starts for FY06: (just decided - all details still tentative)
NOPP Projects(just a few examples):
New BAA: Assessment of Global Ocean Data Assimilation Experiment (GODAE) Boundary Conditions for Coastal Ocean Predictions
Proposals Due March 31st!
Special Program in Code 32 to explore the use of autonomous vehicles with cooperative behavior to sense and adapt to the environment to maximize detection of quiet submarines
Lateral Boundary ForcingA simple view of ocean prediction
A better ocean prediction may result from improvements in:
In this DRI, we are only trying to address the fidelity of the numerical models - and further, we’re only examining issues concerning the subgrid-scale (SGS) parameterizations.
For the resolution of the models we’re considering, the SGS physics are in the submesoscale
on the order of ( 50m – 5km)
“Oceanic general circulation models must parameterize the effect of subgrid-scale motions and generally do so with diffusion terms. The following questions then arise: do oceanic observations allow inferences about mixing and diffusion coefficients – if so, how do ‘observed’ coefficients compare with those used in numerical models; can mixing rates be predicted from an understanding of the processes involved; does it matter; and are the results of numerical models sensitive to the choice of the diffusion coefficients?”
- from a report on the 1989 ‘Aha Huiliko’a meeting
“The parameterization of small-scale processes in numerical models is a basic science issue. It will only be resolved as numerical modelers and small-scale observers collaborate, pooling their expertise and resources and providing essential cross checks for each other. The meeting in Honolulu was an attempt to stimulate such collaboration, and it is encouraging that many of the participants left the meeting with joint projects on their minds – in the best of the Aloha spirit.”
- conclusion of the 1989 ‘Aha Huiliko’a meeting report
Global HYCOM at 1/12° (7 km) res
Regional NCOM or HYCOM at 2-4km res
Coastal model (tbd) at 500m-1500m res
Global HYCOM at 1/25° (3.5 km) res
Regional model unnecessary
Coastal model (tbd) at 500m-1500m res
The need to assess the parameterizations that are being used in numerical models is more urgent than ever.
Turbulence Closure Schemes
One can estimate the local eddy viscosity that arises from shear, dissipation, and buoyancy using the local Reynolds stresses and vertical shear along with a generic length scale for turbulent motions.
Moral: Do not attempt to hide things which cannot be hid (?)
The Goat and the Goatherd
A goatherd had sought to bring back a stray goat to his flock. He whistled and sounded his horn in vain; the straggler paid no attention to the summons. At last the Goatherd threw a stone, breaking the goat’s horn. He begged the Goat not to tell his master. The Goat replied, "Why, you silly fellow, the horn will speak though I be silent."
Moral: Do not attempt to hide things which cannot be hid
The coordination bit is important not only for the UNOLS ship requests, but also because there are a number of opportunities for parallel work, interesting science, and perhaps most importantly, developing a more comprehensive data set for making parameterization assessments.
The assumption behind the CPT initiative at NSF was that the data exists to verify the parameterizations for their class of problems. I’m not convinced we have the data set required for ours – that’s what we might be trying to build.