Preprints
https://doi.org/10.5194/egusphere-2026-534
https://doi.org/10.5194/egusphere-2026-534
29 Apr 2026
 | 29 Apr 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Ocean Model Analysis and Prediction System version 4.1i (OceanMAPSv4p1i)

Prasanth Divakaran, Pavel Sakov, Gary B. Brassington, and Xinmei Huang

Abstract. The Ocean Model Analysis and Prediction System (OceanMAPS) is a short-range, near-global, eddy-resolving ocean forecasting system developed at the Bureau of Meteorology. OceanMAPS runs daily, producing 7-day forecasts of 3D prognostic fields of ocean currents, temperature, salinity and sea level anomalies (SLA’s). OceanMAPS is based on MOM5 ocean general circulation model and uses EnKF-C software for data assimilation. Consistent with the previous version of OceanMAPS, version v4p1i (OceanMAPSv4p1i), is based on a hybrid Ensemble Kalman Filter with 48 dynamic and 144 static members. However, OceanMAPSv4p1i employs a 1-day analysis cycle in place of the 3-day cycle in OceanMAPSv4p0i. OceanMAPSv4p1i utilises an asynchronous data assimilation of observations, including Sea Surface Temperature (SST; 2-hourly), SLA (12-hourly), and temperature and salinity profiles (daily). OceanMAPSv4p1i produces better performance in forecast skill and mean absolute error scores in Sea Level Anomaly, Sea Surface Temperature and subsurface Temperature. Improvements gained are greater in surface fields, such as sea level anomaly and sea surface temperature, which have less persistence and a greater tendency. A reduction of ~10 % in SST errors and a ~7–8 % reduction in SLA errors is demonstrated in forecast stats. OceanMAPSv4p1i forecasts also better represent mesoscale ocean eddies.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Prasanth Divakaran, Pavel Sakov, Gary B. Brassington, and Xinmei Huang

Status: open (until 24 Jun 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Prasanth Divakaran, Pavel Sakov, Gary B. Brassington, and Xinmei Huang
Prasanth Divakaran, Pavel Sakov, Gary B. Brassington, and Xinmei Huang
Metrics will be available soon.
Latest update: 30 Apr 2026
Download
Short summary
The Ocean Forecast System (OceanMAPS), based on EnKF data assimilation at the Australian Bureau of Meteorology, has been upgraded by introducing a one-day BRT and NRT analysis cycle in place of the previous version's 3-day single BRT analysis cycle. This design change reduces the overall latency of the analysis. Use of NRT analysis average as forecast initial condition significantly improved mesoscale ocean eddy representation and reduced forecast errors.
Share