Computational Oceanography: Regional Ocean Modeling, Data Assimilation and Prediction
TITLE:
Computational Oceanography: Regional Ocean Modeling, Data Assimilation and Prediction
DATE:
Friday, December 5th, 2014
TIME:
3:30 PM
LOCATION:
GMCS 214
SPEAKER:
Dr. Yi Chao.
Joint Institute for Regional Earth System Science and Engineering at UCLA
ABSTRACT:
This talk will present experiences and lessons learned during the development of a regional 3-dimensional ocean nowcast/forecast system. The model is based on the Regional Ocean Modeling System (ROMS) with multi-domain nested configurations. A multi-scale 3-dimensional variational (3DVAR) data assimilation scheme is used to assimilate both in situ (e.g., gliders) and remotely sensed data from both satellite and land-based platforms (e.g., high-frequency radars). For the ROMS assimilation system, the spatial resolution for the most inner domain is typically 1 km, comparable to the highest resolution satellite sea surface temperature and HF radar current observations. An ensemble modeling methodology has been tested to estimate the forecast uncertainties. Preliminary results coupling the regional circulation model with biogeochemistry/ecosystem/fishery models will be presented. Several demonstration cases over the coastal oceans in Alaska Prince William Sound, California and Gulf of Mexico are described. Examples of using ROMS forecasts in support of decision-making by the U.S. Coast Guard during Search and Rescue operations will be discussed.
HOST:
Dr. Jose Castillo
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