||Ocean Observations to Improve Our Understanding, Modeling and Forecasting of Subseasonal-to-Seasonal Variability|
- A.C. Subramanian, M.A. Balmaseda, L. Centurioni, R. Chattopadhyay, B.D. Cornuelle, C. DeMott, M. Flatau, Y. Fujii, D. Gigliom S.T. Gille, T.M Hamill, H. Hendon, I. Hoteit, A. Kumar, J-H. Lee, A.J. Lucas, A. Mahadevan, A. Rydbeck, et. al., 2019
- Frontiers in Marine Science vol 6 doi:10.3389/fmars.2019.00427
Who are we?
NRL's Ocean Dynamics and Prediction Branch (NRL 7320) performs basic and applied
research in computer modeling of ocean hydro/thermodynamics (i.e., ocean
circulation and density structure), modeling of ice dynamics, computational
numerical techniques, data assimilation, and the analysis of satellite oceanographic
data as related to the development of modeling and data assimilation capabilities.
This branch translates the results of basic and applied research into accurate,
scientifically valid, environmental models and analyses and streamlines these models
into operational, data assimilative, nowcast/forecast systems. These systems cover
deep ocean basins, marginal and semi-enclosed seas, and coastal regions. Expanded
ocean physics included in such systems and areas for future branch research and
development include ocean tide and wave modeling as well as upper ocean processes.
Research in computational techniques includes the study of efficient solutions to
partial differential equations arising in oceanography with a special focus on
efficient utilitization of massively parallel processing technology. Our
nowcast/forecast and simulation systems have broad and direct application to
issues related to Naval operations (ASW, Search and Rescue, Amphibious Landing,
Mine and Special Warfare, Mission Planning, etc.), simulation and design of Global
(and Local) Ocean Observing Systems (GOOS), and many facets of Global and Climate
For more information about the Ocean Dynamics and Prediction Branch
A short video describing the work done at NRL's Oceanography Division can be seen by clicking HERE