Demonstrating the complementarity of observations in an operational ocean forecasting system

Quarterly Journal of the Royal Meteorological Society

Volumn 140, Issue 683, 2014, Pages 2037-2049

  Lea, D J ^a   Martin, M J ^a   Oke, P R ^b  

^a MET OFFICE   (United Kingdom)

^b CSIRO   (Australia)

Author keywords

Data assimilation; GODAE oceanview; Observing; Ocean; OSE

Indexed keywords

FORECASTING; GEODETIC SATELLITES; METEOROLOGICAL INSTRUMENTS; SURFACE WATERS;

DATA ASSIMILATION; GODAE OCEANVIEW; OBSERVING; OBSERVING SYSTEM EXPERIMENTS; OCEAN; OCEAN OBSERVING SYSTEMS; SEA SURFACE TEMPERATURE (SST); SURFACE MIXED LAYERS;

OCEANOGRAPHY;

EID: 84908881992     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.2281     Document Type: Article

References (26)

1. Argo Science Team. 1998. 'On the design and implementation of Argo: An initial plan for a global array of profiling floats'. ICPO report 21, GODAE report 5. Met Office: Exeter, UK.
2. Balmaseda M, Anderson D, Vidard A. 2007a. Impact of Argo on analyses of the global ocean. Geophys. Res. Lett. 34: L16 605, doi: 10.1029/2007GL030452.
3. Balmaseda MA, Dee DP, Vidard A, Anderson DLT. 2007b. A multivariate treatment of bias for sequential data assimilation: Application to the tropical oceans. Q. J. R. Meteorol. Soc. 133: 167-179.
4. Bell MJ, Martin MJ, Nichols NK. 2004. Assimilation of data into an ocean model with systematic errors near the Equator. Q. J. R. Meteorol. Soc. 130: 873-893.
5. Bell MJ, Lefebvre M, Le Traon PY, Smith N, Wilmer-Becker K. 2010. GODAE: The global ocean data assimilation experiment. Oceanography 22: 14-21.
6. Blockley EW, Martin MJ, Hyder P. 2012. Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys. Ocean Sci. 8: 551-565, doi: 10.5194/os-8-551-2012.
7. Cardinali C, Pezzuli S, Andersson E. 2004. Influence matrix diagnostic of a data assimilation system. Q. J. R. Meteorol. Soc. 130: 2767-2786.
8. Chapnik B, Desroziers G, Rabier F, Talagrand O. 2006. Diagnosis and tuning of observational error in a quasi-operational data assimilation setting. Q. J. R. Meteorol. Soc. 132: 543-565, doi: 10.1256/qj.04.102.
9. Cooper M, Haines K. 1996. Altimetric assimilation with water property conservation. J. Geophys. Res. 101: 1059-1077.
10. Desroziers G, Berre L, Chapnik B, Poli P. 2005. Diagnosis of observation, background and analysis-error statistics in observation space. Q. J. R. Meteorol. Soc. 131: 3385-3396, doi: 10.1256/qj.05.108.
11. Ingleby NB, Huddleston M. 2007. Quality control of ocean temperature and salinity profiles -historical and real-time data. J. Marine Syst. 65: 158-175.
12. Ingleby NB, Lorenc AC. 1997. Bayesian quality control using multivariate normal distributions. Q. J. R. Meteorol. Soc. 119: 1195-1225.
13. Lea DJ. 2012. 'Observation impact statements for operational ocean forecasting'. Weather Science Technical report 568. Met Office: Exeter, UK.
14. Lea DJ, Drecourt JP, Haines K, Martin MJ. 2008. Ocean altimeter assimilation with observational- and model-bias correction. Q. J. R. Meteorol. Soc. 134: 1761-1774, doi: 10.1002/qj.320.
15. Lorenc AC, Bell RS, MacPherson B. 1991. The Met Office analysis correction data assimilation scheme. Q. J. R. Meteorol. Soc. 117: 59-89.
16. Madec G. 2008. NEMO Ocean Engine. Note du Pôle de Modélisation No 27. Institut Pierre-Simon Laplace: Paris, France.
17. Martin MJ, Hines A, Bell MJ. 2007. Data assimilation in the FOAM operational short-range ocean forecasting system: A description of the scheme and its impact. Q. J. R. Meteorol. Soc. 133: 981-995.
18. Mogensen K, Balmaseda M, Weaver A, Martin M, Vidard A. 2009. NEMOVAR: A variational data assimilation system for the NEMO ocean model. ECMWF Newslett. 120: 17-21.
19. Moore AM, Arango HG, Broquet G, Edwards C, Veneziani M, Powell B, Foley D, Doyle JD, Costa D, Robinson P. 2011. The Regional Ocean Modeling System (ROMS) four-dimensional variational data assimilation systems. Part III -observation impact and observation sensitivity in the California Current System. Prog. Oceanogr. 91: 74-94.
20. Oke PR, Schiller A. 2007. Impact of Argo, SST, and altimeter data on an eddy-resolving ocean reanalysis. Geophys. Res. Lett. 34: L19601, doi: 10.1029/2007GL031549.
21. Rio MH, Guinehut S, Larnicol G. 2011. New CNES-CLS09 global mean dynamic topography computed from the combination of GRACE data, altimetry, and in situ measurements. J. Geophys. Res. 116: C07018, doi: 10.1029/2010JC006505.
22. Rodgers CD. 2000. Inverse Methods for Atmospheric Sounding Theory and Practice. World Scientific Publishing: London, UK.
23. Smith N, Lefebvre M. 1997. 'The Global Ocean Data Assimilation Experiment (GODAE)'. In Monitoring the Oceans in the 2000s: An Integrated Approach. International Symposium, 15-17 October. Biarritz, France.
24. Storkey D, Blockley EW, Furner R, Guiavarc'h C, Lea DJ, Martin MJ, Barciela RM, Hines A, Hyder P, Siddorn JR. 2010. Forecasting the ocean state using NEMO: The new FOAM system. J. Oper. Oceanogr. 3: 3-15.
25. Todling R. 2013. Comparing two approaches for assessing observation impact. Mon. Weather Rev. 141: 1484-1505, doi: 10.1175/MWR-D-12-00100.1.
26. Vidard A, Anderson DLT, Balmaseda MA. 2007. Impact of ocean observation systems on ocean analysis and seasonal forecasts. Mon. Weather Rev. 135: 409-429, doi: 10.1175/MWR3310.1.