Sensitivity analysis of a moist ID Eulerian cloud model using automatic differentiation

Monthly Weather Review

Volumn 127, Issue 9, 1999, Pages 2180-2196

  Park, Seon Ki ^a   Droegemeier, Kelvin K ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MODELING; STORM;

CLIMATE MODELING; CONVECTIVE SYSTEM; STORM;

EID: 0033384912     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0493(1999)127<2180:SAOAME>2.0.CO;2     Document Type: Article

References (32)

1. Bischof, C., A. Carle, G. Corliss, A. Griewank, and P. Hovland, 1992: ADIFOR-Generating derivative codes from Fortran programs. Sci. Program., l, 11-29.
2. _, G. D. Pusch, and R. Knoesel, 1996: Sensitivity analysis of the MMS weather model using automatic differentiation. Comput. Phys., 10, 605-612.
3. Blumen, W., 1972: Geostrophic adjustment. Rev. Geophys. Space Phys., 10, 485-528.
4. Cacuci, D. G., 1988: The forward and adjoint methods of sensitivity analysis. Uncertainty Analysis, Y. Ronen, Ed., CRC Press, 71144.
5. Carmichael, G. R., A. Sandu, and F. A. Potra, 1997: Sensitivity analysis for atmospheric chemistry models via automatic differentiation. Atmos. Environ., 31, 475-489.
6. Curie, M., and D. Jane, 1989: Sensitivity analysis of the 1-D convective cloud model outputs on the dynamical parameters. Theor. Appl. ClimawL. 40, 237-246.
7. _, and _, 1993: Predictive capabilities of a one-dimensional convective cloud model with forced lifting and a new entrainment formulation. J. Appl. Meteor., 32, 1733-1740.
8. Dickinson, R. P., and R. J. Gelinas, 1976: Sensitivity analysis of ordinary differential equation systems-A direct method. J. Comput. Phys., 21, 123-143.
9. Errico, R. M., and T. Vukicevic, 1992: Sensitivity analysis using an adjoint of the PSU-NCAR mesoscale model. Mon. Wea. Rev., 120, 1644-1660.
10. Ferrier, B. S., and R. A. Houze Jr., 1989: One-dimensional timedependent modeling of GATE cumulonimbus convection. J. At- - mos. Sci., 46, 330-352.
11. Goody, R., 1995: Principles of Atmospheric Physics and Chemistry. Oxford University Press, 324 pp.
12. Haitiner, G. J., and R. T. Williams, 1980: Numerical Prediction and Dynamic Meteorology. 2d ed. John Wiley and Sons, 477 pp.
13. Holton, J. R., 1992: An Introduction to Dynamic Meteorology. 3d ed. Academic Press, 507 pp.
14. Hwang, J.-T, E. P. Dougherty, S. Rabitz, and H. Rabitz, 1978: The Green function method of sensitivity analysis in chemical kinetics. J. Chem. Phys., 69, 5180-5191.
15. Ogura, Y., and T. Takahashi, I971: Numerical simulation of the life cycle of a thunderstorm cell. Mon. Wea. Rev., 99, 895-911.
16. _, and _, 1973: The development of warm rain in a cumulus model. J. Atmos. Sci., 30, 262-277.
17. Park, S. K., 1996: Sensitivity analysis of deep convective storms. Ph.D. thesis, University of Oklahoma, 245 pp. [Available from School of Meteorology, University of Oklahoma, Norman, OK 73019.]
18. _, and K. K. Droegemeier, 1995: On the use of automatic differentiation to assess parametric sensitivity in convective-scale variational data assimilation. Second Int. Symp. on Assimilation of Observations in Meteorology and Oceanography, Vol. 1, WMO/TD-No. 651, 111 -116.
19. _, and _, 1997: Validity of the tangent linear approximation in a moist convective cloud model. A/on. Wea. Rev., 125, 33203340.
20. _, C. Bischof, and T. Knauff, 1994: Sensitivity analysis of numerically-simulated convective storms using direct and adjoint methods. Preprints, 10th Conf. on Numerical Weather Prediction, Portland, OR, Amer. Meteor. Soc., 457-459.
21. Seigneur, C., T. W. Tesche, P. M. Roth, and L. E. Reid, 1981: Sensitivity of a complex urban air quality model to input data. J. Appl. Meteor., 20, 1020-1040.
22. Soong, S.-T, and Y. Ogura, 1973: A comparison between axisymmetric and slab-symmetric cumulus cloud models. J. Atmos. Sci., 30, 879-893.
23. Srivastava, R. C., 1985: A simple model of evaporatively driven downdrafl: Application to microburst downdraft. J. Almos. Sci., 42, 1004-1023.
24. _, 1987: A model of intense downdrafts driven by the melting and evaporation of precipitation. J. Atmos. Sci., 44, 1752-1773.
25. Sykes, J. F., J. L. Wilson, and R. W. Andrews, 1985: Sensitivity analysis for steady state groundwater flow using adjoint operators. Water Resour. Res., 21, 359-371.
26. Wang, J. Y. C., 1983: A quasi-one-dimensional, time-dependent and non-precipitating cumulus cloud model: On the bimodal distribution of cumulus cloud height. J. Atmos. Sci., 40, 651-664.
27. Wang, Z., K. K. Droegemeier, M. Xue, and S. K. Park, 1995: Sensitivity analysis of a 3-D compressible storm-scale model to input parameters. Second Int. Symp. on Assimilation of Observations in Meteorology and Oceanography, Vol. 1, WMO/TD-No. 651, 437-442.
28. Warner, T. T., and D. Keyser, 1984: Some practical insights into the relationship between initial state uncertainty and mesoscale predictability. Predictability of Fluid Motions, G. Holloway and B. J. West, Ed., American Institute of Physics Conference Proceedings, Vol. 106, 271-286.
29. Weinstein, A. I., 1970: A numerical model of cumulus dynamics and microphysics. J. Atmos. Sci., 27, 246-255.
30. Wisner, C., H. D. Orville, and C. Myers, 1972: A numerical model of a hail-bearing cloud. J. Atmos. Sci., 29, 1160-1181.
31. Worley, B. A., E. M. Oblow, F. G. Pin, R. E. Maerker, J. E. Horwedel, R. Q. Wright, and J. L. Lucius, 1987: Deterministic methods for sensitivity and uncertainty analysis in large-scale computer models. Proceedings of the Conference on Geostatistical, Sensitivity, and Uncertainty Methods for Ground-Water Flow and Radionuclide Transpart Modeling, B. E. Buxton, Ed., Battelle-Press, 135-154.
32. Young, K. C., 1993: Microphysical Processes in Clouds. Oxford University Press, 427 pp.