Enhanced ocean temperature forecast skills through 3-D super-ensemble multi-model fusion

Geophysical Research Letters

Volumn 37, Issue 19, 2010, Pages

  Lenartz, F ^a,b   Mourre, B ^a   Barth, A ^b   Beckers, J M ^b   Vandenbulcke, L ^b   Rixen, M ^a  

^a NATO UNDERSEA RESEARCH CENTRE   (Italy)

^b UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING;

BIAS REDUCTION; CAL/VAL; INDIVIDUAL MODELS; MULTI-MODEL; MULTI-MODEL FUSION; NON-INTRUSIVE; OCEAN TEMPERATURE; OPERATIONAL FORECASTING; POSTPROCESSING METHODS; PREDICTIVE PERFORMANCE; ROOT MEAN SQUARES; THREE-DIMENSIONAL MODEL; VARYING MODELS;

THREE DIMENSIONAL;

FORECASTING METHOD; KALMAN FILTER; MARINE ENVIRONMENT; PERFORMANCE ASSESSMENT; SEA SURFACE TEMPERATURE; SPATIAL VARIATION; THREE-DIMENSIONAL MODELING;

LIGURIAN SEA; MEDITERRANEAN SEA;

EID: 77958478378     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010GL044591     Document Type: Article

References (11)

1. Galmarini, S., et al. (2004), Ensemble dispersion forecasting-Part II: Application and evaluation, Atmos. Environ., 38(28), 4619-4632, doi:10.1016/ j.atmosenv.2004.05.031.
2. Jolliff, J. K., J. Kindle, I. Shulman, B. Penta, M. Friedrichs, R. Helber, and R. Arnone (2009), Summary diagrams for coupled hydrodynamic- ecosystem model skill assessment, J. Mar. Syst, 176, 64-82.
3. Krishnamurti, T. N., C. M. Kishtawal, T. E. LaRow, D. R. Bachiochi, Z. Zhang, C. E. Williford, S. Gadgil, and S. Surendran (1999), Improved weather and seasonal climate forecasts from multimodel superensemble, Science, 285(5433), 1548-1550, doi:10.1126/science.285.5433.1548.
4. Lenartz, F., J.-M. Beckers, J. Chiggiato, B. Mourre, C. Troupin, L. Vandenbulcke, and M. Rixen (2010), Super-ensemble techniques applied to wave forecast: Performance and limitations, Ocean Sci., 6, 595-604, doi:10.5194/os-6-595-2010.
5. Lermusiaux, P. F. J., et al. (2006), Quantifying uncertainties in ocean predictions, Oceanography, 19, 92-105.
6. Logutov, O. G., and A. R. Robinson (2005), Multi-model fusion and error parameter estimation, Q. J. R. Meteorol. Soc, 131, 3397-3408.
7. Rixen, M., and E. Ferreira-Coelho (2006), Operational prediction of acoustic properties in the ocean using multi-model statistics, Ocean Modell., 11(3-4), 428-440, doi:10.1016/j.ocemod.2005.02.002.
8. Rixen, M., and E. Ferreira-Coelho (2007), Operational surface drift prediction using linear and non-linear hyper-ensemble statistics on atmospheric and ocean models, J. Mar. Syst., 65(1-4), 105-121, doi:10.1016/j. jmarsys.2004.12.005.
9. Rixen, M., et al. (2009), Improved ocean prediction skill and reduced uncertainty in the coastal region from multi-model superensembles, J. Mar. Syst., 78, S282-S289, doi:10.1016/j.jmarsys.2009.01.014.
10. Stark, J., C. Donlon, M. Martin, and M. McCulloch (2007), OSTIA : An operational, high resolution, real time, global sea surface temperature analysis system, paper presented at Oceans '07: Marine challenges: Coastline to deep sea, IEEE, Aberdeen, Scotland.
11. Vandenbulcke, L., et al. (2009), Super-ensemble techniques: Application to surface drift prediction, Prog. Oceanogr., 82(3), 149-167, doi:10.1016/j. pocean.2009.06.002.