...

• Mars retrieval of accumulated sea level and depth of 20 deg Isotherm from the ocean reanalysis for the 1st November 1982:

  retrieve,
  number=0,
  system=3,
  time=00:00:00,
  date=1982-11-01,
  section=h,
  levtype=dp,
  method=1,
  param=163.151/145.151,
  levelist=0,
  stream=ocea,
  expver=1,
  type=or,
  product=tacc,
  class=od

• Mars retrieval of an intantaneous zonal section of temperature along the equator, from the reanalysis, all 5 ensemble members:

  retrieve,
  number=0/1/2/3/4,
  system=3,
  time=00:00:00,
  date=1982-11-01,
  stream=ocea,
  section=z,
  latitude=0,
  levtype=dp,
  expver=1,
  method=1,
  class=od,
  product=inst,
  type=or,
  param=129.151

• Mars retrieval of an instantaneous meridional section of zonal velocity at 140W, from the realtime analysis. The user needs to indicate the closer model longitude:

  retrieve,
  longitude=220.078,
  number=0,
  system=3,
  time=00:00:00,
  date=1982-11-07,
  stream=ocea,
  section=m,
  levtype=dp,
  expver=1,
  method=1,
  type=or,
  product=inst,
  class=od,
  param=131.151

• Mars retrieval of timesies of averaged temperature in the upper 300m along the equator from the reanalysis, for the period 19870101-19870201:

  retrieve,
  number=0,
  system=3,
  time=00:00:00,
  date=1987-02-01,
  range=720,
  section=z,
  latitude=0,
  levtype=dp,
  method=1,
  param=164.151,
  levelist=0,
  stream=ocea,
  expver=1,
  product=tims,
  type=or,
  class=od

  
  

References and further literature

Ocean Analysis References:

Alves O., M. Balmaseda, D Anderson, T Stockdale, 2003, Sensitivity of dynamical seasonal forecasts to ocean initial conditions. Q. J. R. Meteorol. Soc.,130, 647-668. Also ECMWF Technical Memorandum 369.

Anderson, D. L. T., and M. Balmaseda, 2005: Overview of ocean models at ECMWF. ECMWF Seminar Proceedings. Seminar on Recent developments in numerical methods for atmospheric and ocean modelling, 6-10 September 2004, 103-111.

Anderson, D. L. T., T. Stockdale, M. Balmaseda, L. Ferranti, F. Vitart, P. Doblas-Reyes, R. Hagedorn, T. Jung, A. Vidard, A. Troccoli and T. Palmer, 2003: Comparison of the ECMWF seasonal forecast Systems 1 and 2, including the relative performance for the 1997/8 El Nino. ECMWF Technical Memorandum 404.

Anderson, D. L. T., T. Stockdale, M. Balmaseda, L. Ferranti, F. Vitart, F. Molteni, F. Doblas-Reyes, K. Mogensen and A. Vidard , 2006. Development of the ECMWF seasonal forecast System 3. ECMWF Technical Memorandum 503.

Balmaseda, M.A., 2004: Ocean data assimilation for seasonal forecasts. ECMWF Seminar Proceedings. Seminar on Recent developments in data assimilation for atmosphere and ocean, 8-12 September 2003, 301-326.

ECMWF Newsletter No. 105 ­ Autumn 2005.

Balmaseda, M.A., D. Dee, A. Vidard and D.L.T. Anderson, 2007: A Multivariate Treatment of Bias for Sequential Data Assimilation: Application to the Tropical Oceans. Q. J. R. Meteorol. Soc., 133, 167-179.

Balmaseda, M.A., A. Vidard and D.L.T. Anderson, 2007: The ECMWF System 3 Ocean Analysis System. ECMWF Technical Memorandum 408.

Bloom, S. C., Takacs, L. L., Da Silva, A. M. and Ledvina, D., 1996: Data assimilation using incremental analysis updates. Mon. Wea. Rev., 124, 1256-1271.

Burgers G., M.Balmaseda, F.Vossepoel, G.J.van Oldenborgh, P.J.van Leeuwen, 2002: Balanced ocean-data assimilation near the equator. J Phys Oceanogr, 32, 2509-2519.

Cooper, M.C. and K. Haines, 1996: Data assimilation with water property conservation, J. Geophys. Res 101, C1, 1059-1077

Ducet, N., P.-Y. Le Traon, and G. Reverdin, 2000: Global high resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2. J. Geophys. Res., 105, 19477-19498.

Haines K., J. Blower, J-P. Drecourt, C. Liu, A. Vidard, I. Astin, X. Zhou, 2006. Salinity Assimilation using S(T) relationships. Mon. Wea. Rev. Vol. 134, No. 3, pages 759-771.

Ingleby, B and M. Huddleston, 2007. Quality control of ocean temperature and salinity profiles - historical and real-time data. J. Mar. Sys., 65,158-175.

Le Traon, P.-Y., F. Nadal, and N. Ducet, 1998: An improved mapping method of multisatellite altimeter data. J. Atmos. Oceanic Technol., 15, 522-534.

Levitus S NODC (Levitus) World Ocean Atlas 1998 data provided by the NOAA-CIRES Climate Diagno09.03.2007 at http://www.cdc.noaa.gov/

McPhaden, M. J., A. J. Busalacchi, R. Cheney, J.-R. Donguy, K. S. Gage, D. Halpern, M. Ji, P. Julian, G. Meyers, G. T. Mitchum, P. P. Niiler, J. Picaut, R. W. Reynolds, N. Smith and K. Takeuchi, 1998: The Tropical Ocean-Global Atmosphere observing system: A decade of progress. Journal of Geophysical Research, 103, 14169-14240

van Oldenborgh G. J., M.A. Balmaseda, L. Ferranti, T.N. Stockdale, D.L.T. Anderson: 2005: Did the ECMWF Seasonal Forecast Model Outperform Statistical ENSO Forecast Models over the Last 15 Years? Journal of Climate, 18,No. 16, 3240-3249.

van Oldenborgh G. J., M.A. Balmaseda, L. Ferranti, T.N. Stockdale, D.L.T. Anderson: 2005. Evaluation of atmospheric fields from the ECMWF Seasonal Forecasts over a 15-year period. J. Clim., 18, No. 16, 3250-3269. See also corrections Vol 18,

Peters, H, Gregg, M C and Toole, J M, 1988: On the parameterization of equatorial turbulence. J. Geophys. Res., 93, 1199-1218.

Reynolds R., N Rayner, T Smith, D Stokes, W Wang 2002: An improved in situ and satellite SST analysis for climate. J Clim , 15, 1609-1625.

Serva09.03.200709.03.2007 Vianna and Stephen E. Zebiak 1998. A Pilot Research Moored Array in the Tropical Atlantic, Bulletin of the American Meteorological Society, 70, N10, October 1998. pp. 2019-2032.

Smith N., J Blomley, and G Meyers (1991) A univariate statistical interpolation scheme for subsurface thermal analyses in the tropical oceans. Prog in Oceanography,28, 219-256.


Stockdale T. N., D. L. T. Anderson, J. O. S Alves, and M. A. Balmaseda, 1998.09.03.2007-atmosphere model. Nature, 392, 370-373.

Stockdale, T.N., M. A. Balmaseda and A. Vidard, 2006: Tropical Atlantic SST prediction with coupled ocean-atmosphere GCMs. J. Climate, 19, No. 23, 6047-6061.

Troccoli A., M. Balmaseda, J. Schneider, J. Vialard and D. Anderson 2002, Salinity adjustments in thepresence of temperature data assimilation. Mon. Wea. Rev., 130, 89- 102.

Troccoli, A. and Kallberg, P., 2004. Precipitation correction in the ERA-40 reanalysis, ERA-40 Project Report Series, 13.

Uppala, S., and coauthors, 2005. The ERA-40 Reanalysis. Q. J. R. Meteorol. Soc.131,Part B, 2961-3012.

Vialard, J., Vitart, F., Balmaseda, M. A., Stockdale, T. N., and Anderson, D. L. T., 2005. An ensemble generation method for seasonal forecasting with an ocean-atmosphere coupled model. Mon. Wea. Rev., 131, 1379-1395. See also ECMWF Technical Memorandum No 417.

Vitart, F., 2005: Monthly Forecast and the summer 2003 heat wave over Europe: a case study. Atmospheric Science Letter, 6(2), 112-117.

Vitart, F., S. Woolnough, M.A. Balmaseda,2007: Prediction of the Madden-Julian Oscillation using a coupled GCM. Mon. Wea. Rev., In press.

Smith N., J Blomley, and G Meyers (1991) A univariate statistical interpolation scheme for subsurface thermal analyses in the tropical oceans. Prog in Oceanography,28, 219-256.

Wolff, J., E. Maier-Reimer and S. Legutke, 1997. The Hamburg Ocean Primitive Equation Model. Deutsches Klimarechenzentrum, Hamburg, Technical Report No. 13.

Woolnough, S. J., F. Vitart and M. A, Balmaseda, 2006: The role of the ocean in the Madden-Julian Oscillation: Sensitivity of an MJO forecast to ocean coupling. Q. J. R. Meteorol. Soc., 133,117-128.