Spatio-temporal characteristics of Agulhas leakage: a model inter-comparison study     

Holton  L.  Deshayes  J.  Backeberg  B. C.  Loveday  B. R.  Hermes  J. C.  Reason  C. J. C. 《Climate Dynamics》2017,48(7-8):2107-2121

Climate Dynamics - Investigating the variability of Agulhas leakage, the volume transport of water from the Indian Ocean to the South Atlantic Ocean, is highly relevant due to its potential...  相似文献   

Altimetry-derived tide model for improved tide and water level forecasting along the European continental shelf     

Hart-Davis  Michael G.  Laan  Stendert  Schwatke  Christian  Backeberg  Björn  Dettmering  Denise  Zijl  Firmijn  Verlaan  Martin  Passaro  Marcello  Seitz  Florian 《Ocean Dynamics》2023,73(8):475-491

Ocean Dynamics - With the continued rise in global mean sea level, operational predictions of tidal height and total water levels have become crucial for accurate estimations and understanding of...  相似文献   

Assimilating along-track SLA data using the EnOI in an eddy resolving model of the Agulhas system   总被引：1，自引：1，他引：0  

Björn C. Backeberg  François Counillon  Johnny A. Johannessen  Marie–Isabelle Pujol 《Ocean Dynamics》2014,64(8):1121-1136

The greater Agulhas Current is one of the most energetic current systems in the global ocean. It plays a fundamental role in determining the mean state and variability of the regional marine environment, affecting its resources and ecosystem, the regional weather and the global climate on a broad range of temporal and spatial scales. In the absence of a coherent in-situ and satellite-based observing system in the region, modelling and data assimilation techniques play a crucial role in both furthering the quantitative understanding and providing better forecasts of this complicated western boundary current system. In this study, we use a regional implementation of the Hybrid Coordinate Ocean Model and assimilate along-track satellite sea level anomaly (SLA) data using the Ensemble Optimal Interpolation (EnOI) data assimilation scheme. This study lays the foundation towards the development of a regional prediction system for the greater Agulhas Current system. Comparisons to independent in-situ drifter observations show that data assimilation reduces the error compared to a free model run over a 2-year period. Mesoscale features are placed in more consistent agreement with the drifter trajectories and surface velocity errors are reduced. While the model-based forecasts of surface velocities are not as accurate as persistence forecasts derived from satellite altimeter observations, the error calculated from the drifter measurements for eddy kinetic energy is significantly lower in the assimilation system compared to the persistence forecast. While the assimilation of along-track SLA data introduces a small bias in sea surface temperatures, the representation of water mass properties and deep current velocities in the Agulhas system is improved.  相似文献