Testing Parameterizations of Submesoscale Ocean Variability: Resolutions and Power Spectra
Abstract
The long-term goal is to develop a framework for evaluating the performance of subgrid scale parameterizations in ocean models with explicitly resolved mesoscales and to apply this framework to Monterey Bay simulations. The objective is to design a system for testing submesoscale parameterization of the ocean models with realistic littoral settings; to apply the framework to the conditions of Monterey Bay and to perform the simulations of the AESOP field experiment period, when extensive observations are available; to summarize the results of model-model and model-data comparisons in the form of conclusions and recommendations with regards to the fidelity of various submesoscale parameterizations, their optimal settings, and their effectiveness in terms of their impacts on the resolved-scale ocean variability; to estimate spectral distributions of ocean variability and energy transfer between different scales; compare results with other (theoretical and observational) estimates; investigate the scalability of submesoscale parameterizations, and the role which these parameterizations play in setting up the spectral properties of the solution.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2007
- Accession Number
- ADA573375
Entities
People
- Alexey Kaplan
- Enrique N. Curchitser
- Huei-ping Huang
- William G. Large
Organizations
- Columbia University