The characteristics of key analysis errors. Part II: The importance of the PV corrections and the impact of balance

Monthly Weather Review

Volumn 135, Issue 2, 2007, Pages 267-280

  Caron, Jean François ^a,b   Yau, M K ^a   Laroche, Stéphane ^b   Zwack, Peter ^c  

^a MCGILL UNIVERSITY   (Canada)

^b ENVIRONMENT CANADA   (Canada)

^c UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; METEOROLOGY; VORTICITY;

KEY ANALYSIS ERROR; POTENTIAL VORTICITY INVERSION TECHNIQUE;

WEATHER FORECASTING;

ALGORITHM; ERROR ANALYSIS; WEATHER FORECASTING;

EID: 33847387679     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3286.1     Document Type: Article

References (27)

1. Arbogast, P., 1998: Sensitivity to potential vorticity. Quart. J. Roy. Meteor. Soc., 124, 1605-1615.
2. Caron, J.-F., M. K. Yau, S. Laroche, and P. Zwack, 2007: The characteristics of key analysis errors. Part I: Dynamical balance and comparison with observations. Mon. Wea. Rev., 135, 249-266.
3. Charney, J., 1955: The use of the primitive equations of motion in numerical prediction. Tellus, 7, 22-26.
4. Daley, R., 1979: The application of normal mode initialization to an operational forecast model. Atmos.-Ocean, 17, 97-124.
5. Davis, C. A., and K. A. Emanuel, 1991: Potential vorticity diagnostics of cyclogenesis. Mon. Wea. Rev., 119, 1929-1953.
6. Davis, C. A., E. D. Grell, and M. A. Shapiro, 1996: The balanced dynamical nature of a rapidly intensifying oceanic cyclone. Mon. Wea. Rev., 124, 3-26.
7. Ertel, H., 1942: Ein neuer hydrodynamisher wirbelastz. Meteor. Z., 59, 271-281.
8. Farrell, B. F., 1989: Optimal excitation of baroclinic waves. J. Atmos. Sci., 46, 1193-1206.
9. Fillion, L., H. Herschel, L. Mitchell, H. Ritchie, and A. Staniforth, 1995: The impact of a digital filter finalization technique in a global data assimilation system. Tellus, 47A, 304-323.
10. Gauthier, P., C. Charette, L. Fillion, P. Koclas, and S. Laroche, 1999: Implementation of a 3D variational data assimilation system at the Canadian Meteorological Centre. Part I: The global analysis. Atmos.-Ocean, 37, 103-156.
11. Hakim, G. J., 2005: Vertical structure of midlatitude analysis and forecast errors. Mon. Wea. Rev., 133, 567-578.
12. Haltiner, G. J., and R. T. Williams, 1980: Numerical Prediction and Dynamical Meteorology. 2d ed. John Wiley and Sons, 477 pp.
13. Hoskins, B. J., M. E. McIntyre, and A. W. Robertson, 1985: On the use and significance of isentropic potential vorticity maps. Quart. J. Roy. Meteor. Soc., 111, 877-946.
14. Houghton, D. D., W. H. Campbell, and N. D. Reynolds, 1981: Isolation of the gravity-inertial motion component in a nonlinear atmospheric model. Mon. Wea. Rev., 109, 2118-2130.
15. Isaksen, L., M. Fisher, E. Andersson, and J. Barkmeijer, 2005: The structure and realism of sensitivity perturbations and their interpretation as "key analysis errors." Quart. J. Roy. Meteor. Soc., 131, 3053-3078.
16. Joly, A., 1995: The stability of steady fronts and the adjoint model: Nonmodal frontal waves. J. Atmos. Sci., 52, 3082-3108.
17. Klinker, E., F. Rabier, and R. Gelaro, 1998: Estimation of key analysis errors using the adjoint technique. Quart. J. Roy. Meteor. Soc., 124, 1909-1933.
18. Laroche, S., M. Tanguay, A. Zadra, and J. Morneau, 2002: Use of adjoint sensitivity to diagnose the CMC global analysis performance. Atmos.-Ocean, 40, 423-443.
19. Leith, C. E., 1980: Nonlinear normal mode initialization and quasi-geostrophic theory. J. Atmos. Sci., 37, 958-968.
20. Machenhauer, B., 1977: On the dynamics of gravity wave oscillation in a shallow water model with application to normal mode initialization. Beitr. Phys. Atmos., 50, 253-271.
21. Moore, J. T., and W. A. Abeling, 1988: A diagnosis of unbalanced flow in the upper levels during the AVE-SESAME I period. Mon. Wea. Rev., 116, 2425-2436.
22. Morgan, M. C., and J. W. Nielsen-Gammon, 1998: Using tropopause maps to diagnose midlatitude weather systems. Mon. Wea. Rev., 126, 2555-2579.
23. Pires, C., R. Vautard, and O. Talagrand, 1996: On extending the limits of variational assimilation in nonlinear chaotic system. Tellus, 48A, 96-121.
24. Tanguay, M., P. Bartello, and P. Gauthier, 1995: Four-dimensional data assimilation with a wide range of scales. Tellus, 47A, 974-997.
25. Taylor, K. E., 2001: Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res., 106, 7183-7192.
26. Van Tuyl, A. H., and J. A. Young, 1982: Numerical simulation of nonlinear jet streak adjustment. Mon. Wea. Rev., 110, 2038-2054.
27. Zhang, F., S. E. Koch, C. A. Davis, and M. L. Kaplan, 2000: A survey of unbalanced flow diagnostics and their application. Adv. Atmos. Sci., 17, 165-183.