Advertisement

Ocean Data Assimilation: A Coastal Application

  • Xiaodong Hong
  • James A. Cummings
  • Paul J. Martin
  • James D. Doyle

Abstract

The Navy Coupled Ocean Data Assimilation (NCODA) system is applied to a period during the Autonomous Ocean Sampling Network II (AOSN II) field campaign conducted in the Monterey Bay area in August 2003. The multivariate analysis of NCODA is cycled with the Navy Coastal Ocean Model (NCOM) in a sequential, incremental, update cycle. In addition to the operational data obtained from the Global Ocean Data Assimilation Experiment (GODAE) server, which included satellite observations of sea-surface temperature (SST) and sea-surface height and insitu surface and sub-surface observations of temperature and salinity, high-density data from aircraft SST observations and high-frequency data from buoys used for the AOSN II field experiment are also assimilated. The results from data assimilative and non-assimilative runs are compared with and verified against observations. Bias and root-mean-square errors of temperature indicate that forecast skill from the data assimilative run exceeds errors from the persistence and the non-assimilative runs. The seasonal thermocline is better represented and the warm bias for both upwelling and relaxation periods is significant reduced.

Keywords

Data Assimilation Forecast Skill Relaxation Period Upwelled Cold Water Upwelling Period 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Banta RM, Olivier LD, Levinson DH (1993) Evolution of the Monterey Bay sea-breeze layer as observed by pulsed Doppler lidar. J Atmos Sci 50: 3959–3982CrossRefGoogle Scholar
  2. Bishop CH, Toth Z (1999) Ensemble transformation and adaptive observations. J Atmos Sci 56: 1748–1765CrossRefGoogle Scholar
  3. Bishop CH, Etherton BJ, Majumdar SJ (2001) Adaptive sampling with the ensemble Kalman Filter, I: Theoretical aspects. Mon Weather Rev 129: 420–436CrossRefGoogle Scholar
  4. Chavez F (2003a) M1 Mooring Hydrography and Meteorology Data 2002–2003, Autonomuos Ocean Sampling Network (AOSN) 2003 Field Experiment, Monterey Bay Aquarium Research Institute. Retrieved January 2008 from http://aosn.mbari.orgGoogle Scholar
  5. Chavez F (2003b) M2 Mooring Hydrography and Meteorology Data 2003–2004, Autonomuos Ocean Sampling Network (AOSN) 2003 Field Experiment, Monterey Bay Aquarium Research Institute. Retrieved January 2008 from http://aosn.mbari.orgGoogle Scholar
  6. Chelton DB, deSzoeke RA, Schlax G (1998) Geographical variability of the first baroclinic Rossby radius of deformation. J Phys Oceanogr 28: 433–460Google Scholar
  7. Cummings JA (2005) Operational multivariate ocean data assimilation. Q. J. R. Meteorol Soc 131: 3583–3604CrossRefGoogle Scholar
  8. Cummings JA (2006) The NRL real-time ocean data quality control system. NRL Technical NoteGoogle Scholar
  9. Daley R (1991) Atmospheric data analysis. Cambridge University Press, Cambridge, UKGoogle Scholar
  10. Doyle JD, Jiang Q, Chao Y, Farrara J (2008) High-resolution atmospheric modeling over the Monterey Bay during AOSN II. (To appear Deep Sea Research)Google Scholar
  11. Fox DN, Teague WJ, Barron CN, Carnes MR, Lee CM (2002) The modular ocean data assimilation system. J Atmos Ocean Technol 19:240–252CrossRefGoogle Scholar
  12. Haddock SHD, Ryan JP, Herren CM, Brewster J, Orrico CM, and Conlin D (2003) Hydrographic and bioluminescent towfish data from the research vessel Point Sur, Aug. 2003, Autonomuos Ocean Sampling Network (AOSN) 2003 Field Experiment, Monterey Bay Aquarium Research Institute. Retrieved January 2008 from http://aosn.mbari.orgGoogle Scholar
  13. Hodur RM (1997) The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Mon Wea Rev 125: 1414–1430CrossRefGoogle Scholar
  14. Hodur RM, Hong X, Doyle JD, Pullen JD, Cummings J, Martin PJ, Rennick MA (2002) The Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Oceanography 15(1): 88–89Google Scholar
  15. Hong X, and Bishop CH (2005) COAMPS ocean ensemble forecast system. Presented on the 17th Conference on Numerical Weather Prediction, Washington, DC, 1–5 August 2005. http://ams.confex.com/ams/WAFNWP34BC/techprogram/paper_94771.htm. Accessed 15 December} 2007Google Scholar
  16. Hong X, and Bishop CH (2006) COAMPS ocean ensemble forecast and adaptive sampling system. Presented on the 2006 Ocean Sciences Meeting, Honolulu, Hawaii, 20-24 February 2006. http://www.agu.org/meetings/os06/cd/. Accessed 15 December 2007Google Scholar
  17. Hong X, Hodur RM, Martin P (2008) Numerical simulation of deep-water convection in the Gulf of Lion. Pure Appl Geophys 164: 2101–2116CrossRefGoogle Scholar
  18. Jerlov NG (1976) Marine optics, Elsevier, 231 ppGoogle Scholar
  19. Kelly KA (1985) The influence of winds and topography on the sea surface temperature patterns over the northern California slope. J Geophys Res 90: 11783–11798CrossRefGoogle Scholar
  20. Kondo J (1975) Air-sea bulk transfer coefficients in diabatic conditions. Boundary-Layer Met 9: 91–112CrossRefGoogle Scholar
  21. Martin PJ (2000) Description of the Navy Coastal Ocean Model Version 1.0. Naval Research Laboratory, NRL/FR/7322—00-9962, 1–42Google Scholar
  22. Martin PJ, and Hodur RM (2003) Mean COAMPS air-sea fluxes over the Mediterranean during 1999 report. Naval Research Laboratory, Stennis Space Center, MississippiGoogle Scholar
  23. Paduan J, and Lipphardt B (2003) Coastal Ocean Dynamics Applications Radar (CODAR) Data 2003, Autonomuos Ocean Sampling Network (AOSN) 2003 Field Experiment, Monterey Bay Aquarium Research Institute. Retrieved January 2008 from http://aosn.mbari.orgGoogle Scholar
  24. Pickett MH, and Paduan JD (2003) Ekman transport and pumping in the California Current based on the U.S. Navy’s high-resolution atmospheric model (COAMPS). J Geophys Res 108 (C10): 3327–3337CrossRefGoogle Scholar
  25. Pullen J, Doyle JD, Hodur R, Ogston A, Book JW, Perkins H, and Signell R (2003) Coupled ocean-atmosphere nested modeling of the Adriatic Sea during winter and spring 2001. J Geophys Res v108, C10, 3320, doi:10.1029/2003JC001780CrossRefGoogle Scholar
  26. Ramp S (2003) Sea surface remote sensing and atmospheric meteorology from the twin otter aircraft, Aug./Sept. 2003, Autonomuos Ocean Sampling Network (AOSN) 2003 Field Experiment, Monterey Bay Aquarium Research Institute. Retrieved January 2008 from http://aosn.mbari.orgGoogle Scholar
  27. Ramp SR, Paduan JD, Shulman I, Kindle J, Bahr FL, Chavez F (2005) Observation of upwelling and relaxation events in the northern Monterey Bay during August 2000. J Geophys Res v110, C07013, doi: 10.1029/2004JC002538CrossRefGoogle Scholar
  28. Rosenfeld LK, Schwing FB, Garfield N, and Tracy DE (1994) Bifurcated flow from an upwelling center: a cold water source for Monterey Bay. Cont Shelf Res 14: 931–964CrossRefGoogle Scholar
  29. Shulman I, Kindle J, Martin P, deRada S, Doyle J, Penta B, Anderson S, Chavez F, Paduan J, and Ramp S (2007) Modeling of upwelling/relaxation events with the Navy Coastal Ocean Model. J Geophys Res v112, C06023, doi:10.1029/2006JC003946Google Scholar
  30. Tseng Y.-H. and Breaker LC (2007) Nonhydrostatic simulations of the regional circulation in the Monterey Bay area. J Geophys Res v112, C12017, doi:10.1029/2007JC004093CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Xiaodong Hong
    • 1
  • James A. Cummings
  • Paul J. Martin
  • James D. Doyle
  1. 1.Marine Meteorology DivisionNaval Research LaboratoryMontereyUSA

Personalised recommendations