Tracer assimilation

Geophysical Monograph Series

Volumn 114, Issue , 1999, Pages 67-79

  Ménard, Richard ^a,b  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0003452409     PISSN: 00658448     EISSN: 23288779     Source Type: Book Series    
DOI: 10.1029/GM114p0067     Document Type: Chapter

References (23)

1. Cohn, S.E., Dynamics of short-term univariate forecast error covariances. Mon. Wea. Rev., 121, 3123-3148, 1993.
2. Cohn, S.E., An introduction to estimation theory. Special issue dedicated to Data Assimilation in Meteorology and Oceanography: Theory and Practice. J. Meteor. Soc. Japan, 75, 257-288, 1997.
3. Cohn, S.E., and R. Todling, Approximate data assimilation schemes for stable and unstable dynamics. J. Meteor. Soc. Japan, 74, 63-75, 1996.
4. Cohn, S.E., A. da Silva, J. Guo, M. Sienkiewicz, and D. Lamich, Assessing the effects of data selection with the DAO Physical-space Statistical Analysis System. Mon. Wea. Rev., 126, 2913-2926, 1998.
5. Courtier, P., Dual formulation of four-dimensional variational assimilation. Q. J. R. Meteorol. Soc., 123, 2449-2461, 1997.
6. Courtier, P., E. Andersson, W. Heckley, J. Pailleux, D. Vasiljevic, M. Hamrud, A. Hollingsworth, F. Rabier, and M. Fisher, The ECMWF implementation of the threedimensional variational assimilation (3D-Var). Part 1: Formulation. Q. J. R. Meteorol. Soc., 124, 1998.
7. Daley, R., Atmospheric Data Analysis. 457 pp., Cambridge University Press, New York, 1991.
8. Daley, R., Recovery of the one and two dimensional windfields from chemical constituent observations using the constituent transport equation and an extended Kalman filter. Meteorol. Atmos. Phys., 60, 119-136, 1996.
9. DAO, Algorithm Theoretical Basis Document Version 1.01, Data Assimilation Office, NASA’s Goddard Space Flight Center. Available on-line at http://dao.gsfc.nasa.gov, 1996.
10. Dee, D.P., A simple scheme for tuning forecast error covariance parameters. Proc. Workshop on Variational Assimilation, with special Emphasis on Three-dimensional Aspects, Reading, U.K., European Centre for MediumRange Weather Forecast, 191-205, 1992.
11. Dee, D.P., and A. daSilva, Maximum-likelihood estimation of forecast and observation error covariance parameters. Part 1: Methodology. Mon. Wea. Rev., 127, 1822-1834, 1999.
12. Gaspari, G., and S.E. Cohn, Construction of correlation functions in two and three dimensions. Q. J. R. Meteoral. Soc., 125, 723-757, 1999.
13. Horn, R.A., and C.R. Johnson, Matrix Analysis. 561 pp., Cambridge University Press, New York, 1985.
14. Menard, R., S.E. Cohn, L.-P. Chang, and P.M. Lyster, Stratospheric assimilation of chemical tracer observations using a Kalman filter. Part 1: Formulation. Mon. Wea. Rev., In press, 1999.
15. 2 validated results and analysis of variance and correlation dynamics. Mon. Wea. Rev., In press, 1999.
16. 3 tracer spectra in the stratospheric surf zone. J. Geophys. Res., 102, 24,001-24,004, 1997.
17. Riishojgaard, L.P., On four-dimensional variational assimilation of ozone data in weather prediction models. Q. J. R. Meterol. Soc., 122, 1545-1571, 1996.
18. Segers, A.J., A.W. Heemink, M. Verlaan, and M. van Loon, Nonlinear Kalman filters for atmospheric chemistry models, this volume, 1999, American Geophysical Union.
19. Todling, R., Estimation theory and atmospheric data assimilation, this volume, 1999, American Geophysical Union.
20. Wahba, G., Spline Models for Observational Data. 169 pp., CBMS-NSF Regional Conference Series in Applied Mathematics, Philadelphia, 1990.
21. Wahba, G., D.R. Johnson, F. Gao, and J. Gong, Adaptive tuning of numerical weather prediction models: Randomized GCV in three- and four-dimensional data assimilation. Mon. Wea. Rev., 129, 3358-3369, 1995.
22. Yaglom, A.M., Correlation Theory of Stationary and related Random Functions. Volume I: Basic Results. 526 pp., Springer Verlag, New York, 1986.
23. Zhang, X.-F., Data assimilation in air pollution modeling. Ph.D. Thesis, 170 pp., Del£ University of Technology, The Netherlands, 1996.