A high-resolution, 1-year suite of 4D-Var OSSEs exploring the impact of XBT observations on state estimates of the East Australian Current ...

• Main Authors: Gwyther, David, Roughan, Moninya, Kerry, Colette, Keating, Shane
• Format: Dataset
• Language: English
• Published: UNSW Sydney 2022
• Subjects: East Australian Current; Regional Ocean Modelling System ROMS; Data Assimilation; Oceanography; FOS Earth and related environmental sciences; 370803 Physical oceanography; 190501 Climate change models; 180506 Oceanic processes excl. in the Antarctic and Southern Ocean; Antarctic; Southern Ocean; The Antarctic; Antarc*
• Online Access: https://dx.doi.org/10.26190/unsworks/24440; http://hdl.handle.net/1959.4/100733

This data is output from the Regional Ocean Modeling System (ROMS) simulations that comprise a suite of four 4D-Var Observing System Simulation Experiments (OSSEs) of the East Australian Current (EAC). The model has a horizontal resolution of 2.5-6 km in the cross shelf direction and 5 km in the along shelf direction, and 30 vertical s-levels. The model domain covers the southeastern Australia oceanic region from 25.1-41.5°S and 147.1-162.2°E, and the grid is orientated 20 degrees clockwise to be predominantly orientated alongshore. These experiments test the impact on the state estimate and representation of the EAC in the presence of subsurface temperature (XBT) observations. Each experiment has varying observation repeat frequencies: quarterly, monthly, fortnightly and weekly. This dataset contains the temperature variable (and associated coordinates and dimensions) for the period Jan 2012 to Jan 2013. All variables in the netcdf are described with metadata. Some data has been removed to reduce file size ... : The models (free-running and data assimilating) used to produce this output are described in Gwyther, D., Kerry, C., Roughan, M., and Keating, S. R. et al (2022) and Gwyther, D., Keating, S. R., Kerry, C., and Roughan, M. (submitted). The free-running simulation is similar to presented in https://doi.org/10.26190/TT1Q-NP46, while the data assimilating model is similar to that presented in: https://doi.org/10.26190/5ebe1f389dd87 ...