The Bluelink ocean data assimilation system (BODAS)

Abstract Bluelink is Australia’s contribution to the Global Ocean Data Assimilation Experiment (GODAE). The goals of GODAE include the development and application of eddy-resolving, data assimilating ocean forecast systems. In this paper, we describe several aspects of the Bluelink effort that are motivated by this goal. One of the main innovations of Bluelink is the development of the Bluelink ocean data assimilation system (BODAS). The initial test-bed for BODAS is the Bluelink ReANalysis (BRAN), a multi-year model integration with data assimilation. The Bluelink model is a global ocean general circulation model that is eddy-resolving in the Australian region. Observations that are assimilated into BRAN include satellite altimetry, sea-surface temperature and in situ temperature and salinity data from Argo, XBT, TAO and other sources. BODAS is an ensemble optimal interpolation system that uses an ensemble of intraseasonal anomalies from a free running model to estimate the background error covariances (BECs). The ensemble-based BECs are multivariate and inhomogeneous and are shown to reflect the length-scales, the anisotropy and the covariability of mesoscale oceanic processes. We evaluate the performance of BODAS and BRAN (version 1.5), spanning the period January 2003 to June 2006, by comparing reanalyzed fields to a range of satellite-derived and in situ observations. Specifically, we demonstrate that BRAN realistically reproduces the mesoscale circulation around Australia, representing both the broad-scale circulation and, in many instances, the relatively small-scale mesoscale features. Quantitatively, we show that reanalyzed fields in the region around Australia are typically within 6–12 cm of withheld altimetric observations, within 0.5–0.9° of observed sea-surface temperature and within 4–7 cm of observed coastal sea-level. Comparisons with Argo profiles and surface drifting buoys show that BRAN fields are within 1° of observed sub-surface temperature, within 0.15 psu of observed sub-surface salinity and within 0.2 m s−1 of near-surface currents. We identify initialisation as a key area in which the Bluelink system could be improved.

[1]  Stephen M. Griffies,et al.  Biharmonic Friction with a Smagorinsky-Like Viscosity for Use in Large-Scale Eddy-Permitting Ocean Models , 2000 .

[2]  C. Nilsson,et al.  The formation and evolution of East Australian current warm-core eddies , 1980 .

[3]  G. Meyers,et al.  Do Eddies Play a Role in the Momentum Balance of the Leeuwin Current , 2005 .

[4]  Scott A. Condie,et al.  The 5500‐km‐long boundary flow off western and southern Australia , 2004 .

[5]  Thomas M. Smith,et al.  Improved Global Sea Surface Temperature Analyses Using Optimum Interpolation , 1994 .

[6]  Michele M. Rienecker,et al.  Operational oceanography and prediction – a GODAE perspective , 2001 .

[7]  A. Moore Linear Equatorial Wave Mode Initialization in a Model of the Tropical Pacific Ocean: An Initialization Scheme for Tropical Ocean Models , 1990 .

[8]  P. Houtekamer,et al.  A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .

[9]  Peter R. Oke,et al.  Impacts of localisation in the EnKF and EnOI: experiments with a small model , 2007 .

[10]  S. Griffies,et al.  A Technical Guide to MOM4 , 2004 .

[11]  J. Cummings,et al.  Operational multivariate ocean data assimilation , 2005 .

[12]  J. Wilkin,et al.  Ocean Interpolation by Four-Dimensional Weighted Least Squares—Application to the Waters around Australasia , 2002 .

[13]  Lawrence L. Takacs,et al.  Data Assimilation Using Incremental Analysis Updates , 1996 .

[14]  D. Griffin,et al.  Evidence of a large seasonal coastal upwelling system along the southern shelf of Australia , 2004 .

[15]  Peter R. Oke,et al.  BLUElink> Development of Operational Oceanography and Servicing in Australia , 2007, J. Res. Pract. Inf. Technol..

[16]  Lance M. Leslie,et al.  Improved Hurricane Track Forecasting from the Continuous Assimilation of High Quality Satellite Wind Data , 1998 .

[17]  Jean-Michel Brankart,et al.  Implementation of a multivariate data assimilation scheme for isopycnic coordinate ocean models: Application to a 1993–1996 hindcast of the North Atlantic Ocean circulation , 2003 .

[18]  Jacques Verron,et al.  A singular evolutive extended Kalman filter for data assimilation in oceanography , 1998 .

[19]  P. Oke,et al.  Implications of the Form of the Ensemble Transformation in the Ensemble Square Root Filters , 2008 .

[20]  Peter R. Oke,et al.  Representation Error of Oceanic Observations for Data Assimilation , 2008 .

[21]  Peter Lynch,et al.  Initialization of the HIRLAM Model Using a Digital Filter , 1992 .

[22]  P. K. Kundu,et al.  Ekman Veering Observed near the Ocean Bottom , 1976 .

[23]  Richard G. Forbes,et al.  Assessment of the FOAM global data assimilation system for real-time operational ocean forecasting , 2000 .

[24]  J. S. Godfrey,et al.  The Separation of the East Australian Current , 1980 .

[25]  Jens Schröter,et al.  Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments , 2005 .

[26]  S. Cohn,et al.  Ooce Note Series on Global Modeling and Data Assimilation Construction of Correlation Functions in Two and Three Dimensions and Convolution Covariance Functions , 2022 .

[27]  P. Oke,et al.  Impact of Argo, SST, and altimeter data on an eddy‐resolving ocean reanalysis , 2007 .

[28]  Peter R. Oke,et al.  Assimilation of surface velocity data into a primitive equation coastal ocean model , 2002 .

[29]  James A. Carton,et al.  A Simple Ocean Data Assimilation Analysis of the Global Upper Ocean 1950–95. Part I: Methodology , 2000 .

[30]  Keith Haines,et al.  Altimetric assimilation with water property conservation , 1996 .

[31]  Randy Showstack,et al.  World Ocean Database , 2009 .

[32]  Geir Evensen,et al.  The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .

[33]  A. H. Murphy,et al.  Equitable Skill Scores for Categorical Forecasts , 1992 .

[34]  P. Oke,et al.  Eddy-resolving ocean circulation in the Asian Australian region inferred from an ocean reanalysis effort , 2008 .

[35]  J. Allen Upwelling circulation on the Oregon continental shelf , 1995 .

[36]  Antonio J. Busalacchi,et al.  The Tropical Ocean‐Global Atmosphere observing system: A decade of progress , 1998 .

[37]  H. Hurlburt,et al.  An operational Eddy resolving 1/16° global ocean nowcast/forecast system , 2003 .

[38]  Jean-Michel Brankart,et al.  Incremental Analysis Update Implementation into a Sequential Ocean Data Assimilation System , 2006 .

[39]  P. A. Newberger,et al.  Downwelling Circulation on the Oregon Continental Shelf. Part I: Response to Idealized Forcing , 1995 .

[40]  Dake Chen,et al.  A Hybrid Vertical Mixing Scheme and Its Application to Tropical Ocean Models , 1994 .

[41]  Gilles Reverdin,et al.  Global high-resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2 , 2000 .

[42]  N. R. Smith,et al.  The Global Ocean Data Assimilation Experiment , 2000 .

[43]  D. Nychka Data Assimilation” , 2006 .

[44]  R. Daley Atmospheric Data Analysis , 1991 .

[45]  J. Whitaker,et al.  Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter , 2001 .

[46]  Thierry Penduff,et al.  A four-year eddy-permitting assimilation of sea-surface temperature and altimetric data in the South Atlantic Ocean , 2002 .

[47]  Jean-Michel Brankart,et al.  Assimilation of sea-surface temperature and altimetric observations during 1992–1993 into an eddy permitting primitive equation model of the North Atlantic Ocean , 2003 .

[48]  H. Ichikawa,et al.  Operational Data Assimilation System for the Kuroshio South of Japan: Reanalysis and Validation , 2004 .

[49]  Adrian Hines,et al.  Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact , 2007 .

[50]  H. Etienne,et al.  Multivariate assimilation in MERCATOR project: New statistical parameters from forecast error estimation , 2007 .

[51]  E.,et al.  Data assimilation in operational ocean forecasting systems: the MERCATOR and MERSEA developments , 2005 .

[52]  A. Troccoli,et al.  Use of the Temperature Salinity Relation in a Data Assimilation Context , 1999 .

[53]  Peter R. Oke,et al.  Ensemble data assimilation for an eddy‐resolving ocean model of the Australian region , 2005 .

[54]  P. Houtekamer,et al.  Ensemble size, balance, and model-error representation in an ensemble Kalman filter , 2002 .

[55]  Gilles Larnicol,et al.  Combining Argo and remote-sensing data to estimate the ocean three-dimensional temperature fields—a first approach based on simulated observations , 2004 .

[56]  Janet Sprintall,et al.  Evidence of the barrier layer in the surface layer of the tropics , 1992 .

[57]  Peter Jan van Leeuwen,et al.  Balanced Ocean-Data Assimilation near the Equator , 2002 .

[58]  R. Lewis Seasonal upwelling along the south-eastern coastline of South Australia , 1981 .

[59]  James A. Carton,et al.  A Simple Ocean Data Assimilation Analysis of the Global Upper Ocean 1950-95. Part II: Results , 2000 .

[60]  Charlie N. Barron,et al.  The Modular Ocean Data Assimilation System (MODAS) , 2002 .

[61]  Remy Baraille,et al.  The HYCOM (HYbrid Coordinate Ocean Model) data assimilative system , 2007 .

[62]  M. Balmaseda,et al.  Initialization of Seasonal Forecasts Assimilating Sea Level and Temperature Observations , 2001 .