Assimilation of drifter and satellite data in a model of the Northeastern Gulf of Mexico
نویسندگان
چکیده
Drifter and satellite data are assimilated into a circulation model that hindcasts near-surface currents in the Northeastern Gulf of Mexico. Experiments without assimilation, and using assimilation of drifter, satellite sea-surface height (SSH) and sea-surface temperature (SST) data, in various combinations, were conducted. Currents derived from these experiments were used to compute drifter trajectories that were compared against observations. Surface geostropic current fields, calculated from satellite SSH, were also used to generate drifter paths. Assimilation that used a combination of drifter and satellite data reproduced the drifter trajectories with position errors E30–80 km over a 10day period. Comparisons of the modeled currents with moored observations on the West Florida shelf show improvement when data assimilation is used, because of better simulation of deepwater processes (primarily the loop current). r 2004 Elsevier Ltd. All rights reserved.
منابع مشابه
Capabilities of data assimilation in correcting sea surface temperature in the Persian Gulf
Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...
متن کاملCapabilities of data assimilation in correcting sea surface temperature in the Persian Gulf
Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...
متن کاملOcean current estimation using a Multi-Model Ensemble Kalman Filter during the Grand Lagrangian Deployment experiment (GLAD)
In the summer and fall of 2012, during the GLAD experiment in the Gulf of Mexico, the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) used several ocean models to assist the deployment of more than 300 surface drifters. The Navy Coastal Ocean Model (NCOM) at 1 km and 3 km resolutions, the US Navy operational NCOM at 3 km resolution (AMSEAS), and two vers...
متن کاملهمجوشی دادههای موج در خلیج فارس با مدل طیفی ویوواچ3
The major problems in modeling of different oceanographic and meteorological parameters are limitations in numerical methods and human incomplete knowledge in physical processes involved. As a result, significant differences between the results of these models and in situ observations of these parameters might exist. One of the powerful solutions for decreasing the forecast errors in the models...
متن کاملImpact of Assimilating Ocean Velocity Observations Inferred from Lagrangian Drifter Data Using the NCOM-4DVAR*
Eulerian velocity fields are derived from 300 drifters released in the Gulf of Mexico by The Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) during the summer 2012 Grand Lagrangian Deployment (GLAD) experiment. These data are directly assimilated into the Navy Coastal Ocean Model (NCOM) four-dimensional variational data assimilation (4DVAR) analysis syst...
متن کامل