Ensemble member generation for sequential data assimilation

Remote Sensing of Environment

Volumn 112, Issue 4, 2008, Pages 1421-1433

  Turner, M R J ^a   Walker, J P ^a   Oke, P R ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b CSIRO   (Australia)

Author keywords

Ensemble filtering; Ensemble member generation; Hydrodynamic modelling; Remote sensing; Sequential data assimilation; SST

Indexed keywords

ERROR ANALYSIS; KALMAN FILTERS; MATHEMATICAL MODELS; NONLINEAR ANALYSIS; REMOTE SENSING;

ENSEMBLE MEMBER GENERATION; SEQUENTIAL DATA ASSIMILATION;

DATA ACQUISITION;

DATA ASSIMILATION; ERROR ANALYSIS; FILTER; FORECASTING METHOD; GUIDELINE; HYDRODYNAMICS; KALMAN FILTER; PERTURBATION; REMOTE SENSING; SEA SURFACE TEMPERATURE;

EID: 40649083024     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.02.042     Document Type: Article

References (27)

1. Anderson J.L., and Anderson S.L. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Monthly Weather Review 127 (1999) 2741-2758
2. Blumberg A.F., and Mellor G.L. A description of a three-dimensional coastal ocean circulation model. In: Heaps N.S. (Ed). Three-dimensional coastal ocean models (1987), American Geophysical Union 1-16
3. Brusdal K., Brankart J.M., Halberstadt G., Evensen G., Brasseur P., van Leeuwen P.J., et al. A demonstration of ensemble-based assimilation methods with a layered OGCM from the perspective of operational ocean forecasting systems. Journal of Marine Systems 40-41 (2003) 253-289
4. Evensen G. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. Journal of Geophysical Research-Oceans 99 C5 (1994) 10143-10162
5. Evensen G. The Ensemble Kalman Filter: Theoretical formulation and practical implementation. Ocean Dynamics 53 (2003) 343-367
6. Evensen G. Sampling strategies and square root analysis schemes for the EnKF. Ocean Dynamics 54 (2004) 539-560
7. Evensen G., and van Leeuwen P.J. Assimilation of geosat altimeter data for the Agulhas Current using the ensemble Kalman filter with a quasigeostrophic model. Monthly Weather Review 124 1 (1996) 85-96
8. Gill A.E. Atmosphere-ocean dynamics (1982), Academic Press Inc., New York 297-322
9. Hamill, T.H., Ensemble-based data assimilation: A review, Unpublished manuscript, University of Colorado and NOAA-CIRES Climate Diagnostics Centre, 2002.
10. Herzfeld M., Waring J., Parslow J., Margvelashvili N., Sakov P., and Andrewartha J. MECO-model for estuaries and coastal oceans V4.0 scientific manual. Ed. 1 (2002, October), CSIRO Marine Research, Hobart
11. Houtekamer P.L., and Mitchell H.L. Data assimilation using an ensemble Kalman filter technique. Monthly Weather Review 126 3 (1998) 796-811
12. Houtekamer P.L., and Mitchell H.L. A sequential ensemble Klaman filter for atmospheric data assimilation. Monthly Weather Review 129 1 (2001) 123-137
13. Keppenne C.L. Data assimilation into a primitive-equation model with a parallel ensemble Kalman filter. Monthly Weather Review 128 (2000) 1971-1981
14. Miller R.N., and Ehret L.L. Ensemble generation for models of multimodal systems. Monthly Weather Review 130 9 (2002) 2313-2333
15. Mitchell H.L., and Houtekamer P.L. An adaptive ensemble Kalman filter. Monthly Weather Review 128 2 (2000) 416-433
16. Molteni F., Buizza R., Palmer T.N., and Petroliagis T. The ECMWF ensemble prediction system: Methodology and validation. Quarterly Journal of the Royal Meteorological Society 122 529 (1996) 73-119
17. Nalli N.R., and Smith W.L. Improved remote sensing of sea surface skin temperature using a physical retrieval method. Journal of Geophysical Research 103 C5 (1998) 10527-10542
18. Natvik L.J., and Evensen G. Assimilation of ocean colour data into a biochemical model of the North Atlantic - Part 1. Data assimilation experiments. Journal of Marine Systems 40-41 (2003) 127-153
19. Pham D.T. Stochastic methods for sequential data assimilation in strongly nonlinear systems. Monthly Weather Review 129 (2001) 1194-1207
20. Reichle R.H., McLaughlin D.B., and Entekhabi D. Hydrologic data assimilation with the ensemble Kalman filter. Monthly Weather Review 130 1 (2002) 103-114
21. Reichle R.H., Walker J.P., Koster R.D., and Hauser P.R. Extended versus ensemble Kalman filtering for land data assimilation. Journal of Hydrometeorology 3 (2002) 728-740
22. Robert, C., & Alves, O. Tropical pacific ocean model error covariance from Monte-Carlo simulations, to be submitted as a BMRC Research Report, Bureau of Meteorology Research Centre, Melbourne, Australia 25 August 2003.
23. Toth Z., and Kalnay E. Ensemble forecasting at NMC: The generation of perturbations. Bulletin of the American Meteorological Society 74 12 (1993) 2317-2330
24. Toth Z., and Kalnay E. Ensemble forecasting at NCEP and the breeding method. Monthly Weather Review 125 12 (1997) 3297-3319
25. Walker S.J., Waring J.R., Herzfeld M., and Sakov P. MECO user manual (2002), CSIRO Marine Research, Hobart
26. Zillman J.W. Study of some aspects of the radiation and heat budgets of the southern hemisphere oceans, Bureau of Meteorology, Department of the Interior. Meteorological Study Vol. 26 (1972, August)
27. Zupanski M., Fletcher S.J., Navon I.M., Uzunoglu B., Heikes R.P., Randall D.A., et al. Initiation of ensemble data assimilation. Tellus 58A (2006) 159-170