A MITgcm/DART Ocean Analysis and Prediction System with Application to the Gulf of Mexico (original) (raw)

Near real-time assimilation and prediction in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS)

Dyn. Atmos. Oceans, 2009

In this paper, we present the feasibility of a prototype autonomous ship-board, near real-time assimilation and ensemble prediction system for the Intra-Americas Sea. Predicting an atmosphere or ocean state depends upon numerical models that contain uncertainties in their modeled physics, initial conditions, and model state errors. We use an advanced model, variational assimilation, and ensemble forecasting techniques to address each of these issues. Every 3 days, data from the previous week were assimilated via 4DVAR to ...

Improving the Ocean Initialization of Coupled Hurricane–Ocean Models Using Feature-Based Data Assimilation

Monthly Weather Review, 2008

Coupled hurricane–ocean forecast models require proper initialization of the ocean thermal structure. Here, a new feature-based (F-B) ocean initialization procedure in the GFDL/University of Rhode Island (URI) coupled hurricane prediction system is presented to account for spatial and temporal variability of mesoscale oceanic features in the Gulf of Mexico, including the Loop Current (LC), Loop Current eddies [i.e., warm-core rings (WCRs)], and cold-core rings (CCRs). Using only near-real-time satellite altimetry for the “SHA-assimilated” case, the LC, a single WCR, and a single CCR are assimilated into NAVOCEANO’s Global Digitized Environmental Model (GDEM) ocean temperature and salinity climatology along with satellite-derived daily sea surface temperature (SST) data from 15 September 2005 to produce a more realistic three-dimensional temperature field valid on the model initialization date (15 September 2005). For the “fully assimilated” case, both near-real-time altimetry and re...