Influence of physical processes on the tangent-linear approximation

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 51, Issue 2, 1999, Pages 147-166

  Mahfouf, Jean François ^a  

^a EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HYDRODYNAMICS;

EID: 0032768050     PISSN: 02806495     EISSN: None     Source Type: Journal    
DOI: 10.3402/tellusa.v51i2.12312     Document Type: Article

References (38)

1. Beljaars, A. C. M. 1991. Numerical schemes for parameterizations. In: ECMWF Seminar on Numerical methods in atmospheric models, pp. 1-42. Shinfield Park, Reading, UK, ECMWF. 9-13 September 1994.
2. Beljaars, A. C. M. 1995. The impact of some aspects of the boundary layer scheme in the ECMWF model. In: ECMWF Seminar on Parametrization of sub-grid scale physical processes pp. 125-161. Shinfield Park, Reading, UK, ECMWF. 5-9 September 1994.
3. Betts, A. K. 1997. The parametrization of deep convection: a review. In: ECMWF Workshop on new insights and approaches to convective parametrization, pp. 166-188. Shinfield Park, Reading, UK, ECMWF. 4-7 November 1996.
4. Betts, A. K. and M. J. Miller, 1993. The Betts-Miller scheme, pp. 107-121. American Meteorological Society, eds. K. A. Emanuel and D. J. Raymond. Meteorological Monographs 24, no. 46. Ch. 9. In: The Representation of cumulus convection in numerical models of the atmosphere.
5. Blackadar, A. K. 1962. The vertical distribution of wind and turbulent exchange in a neutral atmosphere. J. Geophys. Res. 67, 3095-3102.
6. Buizza, R. 1994. Sensitivity of optimal unstable structures. Quart. J. Roy. Meteor. Soc. 120, 429-451.
7. Chevallier, F., F. Cheruy, N. A. Scott and A. Chedin, 1998. A neural network approach for a fast and accurate computation of longwave radiative budget. J. Appl. Meteor., in press.
8. Chou, C. and J. D. Neelin, 1996. Linearization of a longwave radiation scheme for intermediate tropical atmospheric model. J. Geophys. Res. 101D, 15129-15146.
9. Courtier, P., J.-N. Thépaut, and A. Holingsworth, 1994. A strategy for operational implementation of 4D-Var using an incremental approach. Quart. J. Roy. Meteor. Soc. 120, 1367-1387.
10. Ehrendorfer, M., R. M. Errico and K. D. Reader, 1998. Singular-vector perturbation growth in a primitive-equation model with moist physics. J. Atmos. Sci., in press.
11. Errico, R. M. and K. D. Reader, 1998. An examination of the accuracy of the linearization of a mesoscale model with moist physics Quart. J. Roy. Meteor. Soc., in press.
12. Errico, R. M., T. Vukicevic, and K. Reader, 1993. Examination of the accuracy of a tangent linear model. Tellus 45A, 462-477.
13. Fillion, L. and R. Errico, 1997. Variational assimilation of precipitation data using moist-convective parametrization schemes: a 1DVAR study. Mon. Weather Rev. 125, 2917-2942.
14. Gregory, D. and M. Miller, 1989. A numerical study of the parametrization of deep tropical convection. Quart. J. Roy. Met. Soc. 115, 1209-1241.
15. Janiskova, M., J.-N. Thépaut and J.-F. Geleyn, 1998. Simplified and regular physical parametrizations for incremental four-dimensional variational assimilation. Mon. Weather Rev., in press.
16. Lott, F. and M. J. Miller, 1997. A new subgrid-scale drag parametrization : Its formulation and testing. Quart. J. Roy. Meteor. Soc. 123, 101-127.
17. Louis, J.-F., M. Tiedtke and J.-F. Geleyn, 1992. A short history of the operational PBL parametrization at ECMWF. In: ECMWF Workshop on Boundary layer parametrization, pages 59-79, Shinfield Park, Reading, UK, ECMWF. November 1981.
18. Mahfouf, J.-F., R. Buizza and R. M. Errico, 1996. Strategy for including physical processes in the ECMWF variational data assimilation system. In: ECMWF Workshop on Non-linear aspects of data assimilation, pp. 595-632. Shinfield Park, Reading, U.K., ECMWF. 9-11 September 1996.
19. Molteni, F., R. Buizza, T. N. Palmer and T. Petroliagis, 1996. The ECMWF Ensemble Prediction System : methodology and validation. Quart. J. Roy. Meteor. Soc. 122, 73-119.
20. Morcrette, J.-J. 1990. Impact of changes to the radiation transfer parametrization plus cloud optical properties in the ECMWF model. Mon. Weather Rev. 118, 847-783.
21. Rabier, F., E. Klinker, P. Courtier and A. Hollingsworth, 1996. Sensitivity of forecast errors to initial conditions. Quart. J. Roy. Meteor. Soc. 122, 121-150.
22. Rabier, F., J.-F. Mahfouf, M. Fisher, H. Jarvinen, A. Simmons, E. Andersson, F. Bouttier, P. Courtier, M. Hamrud, J. Haseler, A. Hollingsworth, L. Isaksen, E. Klinker, S. Saarinen, C. Temperton, J.-N. Thépaut, P. Undén and D. Vasiljević, 1997. Recent experimentation on 4D-Var and first results from a simplified Kalman filter. Technical report 240, ECMWF, Shinfield Park, Reading, U.K. ECMWF Tech. Memo.
23. Rabier F., J.-N. Thépaut and P. Courtier, 1998. Extended assimilation and forecast experiments with a four-dimensional variational assimilation system. Quart. J. Roy. Meteor. Soc. 124, 1861-1887.
24. Slingo, J. M. 1987. The development and verifications of a cloud prediction scheme of the ECMWF model. Quart. J. Roy. Meteor. Soc. 113, 899-927.
25. Thépaut, J.-N. and P. Courtier, 1991. Four dimensional variational assimilation using the adjoint of a multi-level primitive equation model. Quart. J. Roy. Meteor. Soc. 117, 1225-1254.
26. Thuburn, J. 1994. Stratospheric modelling within UGAMP. In. ECMWF Workshop on Stratosphere and numerical weather prediction, pp. 193-212. Shinfield Park, Reading, U.K., ECMWF. 15-17 November 1993.
27. Tiedtke, M. 1989. A comprehensive mass-flux scheme for cumulus parametrization in large-scale models. Mon. Weather Rev. 117, 1779-1800.
28. Tiedtke, M. 1993. Representation of clouds in large-scale models. Mon. Weather Rev. 121, 3040-3061.
29. Tsuyuki, T. 1996a. Variational data assimilation in the tropics using precipitation data. Part I: Column Model. Meteor. and Atmos. Phys 60, 87-104.
30. Tsuyuki, T. 1996b. Variational data assimilation in the tropics using precipitation data. Part II: 3D Model. Mon. Weather Rev. 3124, 2545-2561.
31. Verlinde, J. and W. R. Cotton, 1993. Fitting microphysical observations of nonsteady convective clouds to a numerical model: An application of the adjoint technique of data assimilation to a kinematic model. Mon. Weather Rev. 121, 2776-2793.
32. Viterbo, P. and A. C. M. Beljaars, 1995. An improved land surface parametrization scheme in the ECMWF model and its validation. J. Climate 8, 2716-2748.
33. Vukicevic, T. and R. M. Errico, 1993. Linearization and adjoint of parametrized moist diabatic processes. Tellus 45A, 493-510.
34. Xu, Q. 1996. Generalized adjoint for physical processes with parametrized discontinuities. Part I: basic issues and heuristic examples. J. Atmos. Sci. 53, 1123-1142.
35. Zou, X. 1997. Tangent-linear and adjoint of 'on-off' processes and their feasibility for use in 4-dimensional variational data assimilation. Tellus 49A, 3-31.
36. Zou, X., I. M. Navon and J. G. Sela, 1993. Variational data assimilation with moist threshold processes using the NMC spectral model. Tellus 45A, 370-387.
37. Zupanski, D. 1993. The effects of discontinuities in the Betts-Miller cumulus convection scheme on four-dimensional variational data assimilation. Tellus 45A, 511-524.
38. Zupanski, D. and F. Mesinger, 1995. Four-dimensional variational assimilation of precipitation data. Mon. Weather Rev. 123, 1112-1127.