Performance of a local ensemble transform Kalman filter for the analysis of atmospheric circulation and distribution of long-lived tracers under idealized conditions

Journal of Geophysical Research Atmospheres

Volumn 114, Issue 19, 2009, Pages

  Miyazaki, Kazuyuki ^a  

^a JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERICS; CLIMATOLOGY; CONTROL THEORY; COVARIANCE MATRIX; DATA PROCESSING; ERRORS; KALMAN FILTERS; SIMULATORS; SULFUR COMPOUNDS; THREE DIMENSIONAL; TROPOSPHERE; WEATHER FORECASTING;

ATMOSPHERIC CIRCULATION; ATMOSPHERIC CONDITIONS; ATMOSPHERIC TRANSPORT; ATMOSPHERIC TRANSPORT MODEL; BACKGROUND ERRORS; DATA ASSIMILATION SYSTEMS; EDDY MIXING; FORECAST MODEL; FREE TROPOSPHERE; GENERAL CIRCULATION MODEL; HIGH QUALITY; METEOROLOGICAL ANALYSIS; METEOROLOGICAL FIELDS; MODEL ERRORS; OPTIMAL DATA; SURFACE FLUX; TRACER CONCENTRATION; TRACER TRANSPORT; TRANSPORT MODELS; VARIATIONAL ANALYSIS; WIND FIELD;

ATMOSPHERIC MOVEMENTS;

ATMOSPHERIC CIRCULATION; ENSEMBLE FORECASTING; KALMAN FILTER; PERFORMANCE ASSESSMENT; SENSITIVITY ANALYSIS; STRATOSPHERE; SURFACE FLUX; TRACER; TROPOSPHERE;

EID: 72049120716     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009jd011892     Document Type: Article

References (60)

1. 2O airmass simulated by the CCSR/ NIES nudging CTM and observed by ILAS in 1997, J. Meteorol. Soc. Jpn., 80, 451-463.
2. Anderson, J. L. (2001), An ensemble adjustment Kalman filter for data assimilation, Mon. Weather Rev., 129, 2884-2903.
3. Arellano, A. F., K. Raeder, J. Anderson, P. Hess, L. Emmons, D. Edwards, G. Pfister, T. Campos, and G. Sachse (2007), Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission, Atmos. Chem. Phys., 7, 5695-5710. (Pubitemid 350136900)
4. Austin, J., et al. (2003), Uncertainties and assessments of chemistry-climate models of the stratosphere, Atmos. Chem. Phys., 3, 1-27.
5. Bregman, B., E. Meijer, and R. Scheele (2006), Key aspects of stratospheric tracer modeling using assimilated winds, Atmos. Chem. Phys., 12. 4529-4543.
6. Burgers, G., P. J. van Leeuwen, and G. Evensen (1998), On the analysis scheme in the ensemble Kalman filter, Mon. Weather Rev, 126, 1719-1724.
7. Cagnazzo, C, E. Manzini, M. A. Giorgetta, P. M. De, F. Forster, and J. J. Morcrette (2007), Impact of an improved shortwave radiation scheme in the MAECHAM5 general circulation model, Atmos. Chem. Phys., 7, 2503-2515.
8. Chai, T., G. R. Carmichael, A. Sandu, Y. Tang, and D. D. Daescu (2006), Chemical data assimilation of Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft measurements, J. Geophys. Res., 111, D02301, doi:10.1029/2005JD005883.
9. Chipperfield, M. P. (2006), New version of the TOMCAT/SLIMCAT offline chemical transport model: Intercomparison of stratospheric tracerex-periments, Q. J. R. Meteorol. Soc., 132, 1179-1203.
10. Cohn, S. E., A. da Silva, J. Guo, M. Sienkiewicz, and C. Lamich (1998), Assessing the effects of data selection with the DAO Physical-Space Statistical Analysis System, Mon. Weather Rev, 126, 2913-2926.
11. Constantinescu, E. M., A. Sandu, T. Chai, and G. R. Carmichael (2007a), Ensemble-based chemical data assimilation I: General approach, Q. J. R. Meteorol. Soc, 133, 1229-1243. (Pubitemid 47316571)
12. Constantinescu, E. M., A. Sandu, T. Chai, and G. R. Carmichael (2007b), Ensemble-based chemical data assimilation II: Covariance localization, Q. J. R. Meteorol Soc, 133, 1245-1256. (Pubitemid 47316572)
13. Constantinescu, E. M., A. Sandu, T. Chai, and G. R. Carmichael (2007c), Assessment of ensemble-based chemical data assimilation in an idealized setting, Atmos. Environ., 41, 18-36. (Pubitemid 44854618)
14. Courtier, P., and O. Talagrand (1990), Variational assimilation of meteorological observations with direct and adjoint shallow-water equations, Tellus, Ser. A, 42, 531-549.
15. Coy, L., D. R. Allen, S. D. Eckermann, J. P. McCormack, I. Stajner, and T. F. Hogan (2007), Effects of model chemistry and data biases on stratospheric ozone assimilation, Atmos. Chem. Phys., 7, 2917-2935.
16. Dee, D. P. (2005), Bias and data assimilation, Q. J. R. Meteorol Soc. 131, 3323-3343.
17. Douglass, A. R., M. R. Schoeberl, R. B. Rood, and S. Pawson (2003), Evaluation of transport in the lower tropical stratosphere in a global chemistry and transport model, J. Geophys. Res., 108(D9), 4259, doi: 10.1029/ 2002JD002696.
18. Elbern, H., and H. Schmidt (2001), Ozone episode analysis by four- dimensional variational chemistry data assimilation, J. Geophvs. Res., 106, 3569-3590.
19. Elbern, H., H. Schmidt, and A. Ebel (1997), Variational data assimilation for troposphericchemistry modeling, J. Geophys. Res., 102, 15,967-15,985.
20. Elbern, H., A. Stank, H. Schmidt, and O. Talagrand (2007), Emission rate and chemical state estimation by 4-dimensional variational inversion, Atmos. Chem. Phys., 7, 3749-3769.
21. Errera, Q., F. Daerden, S. Chabrillat, J. C. Lambert, W. A. Lahoz, S. Viscardy, S. Bonjean, and D. Fonteyn (2008), 4D-Var assimilation of MIPAS chemical observations: Ozone and nitrogen dioxide analyses, Atmos. Chem. Phys., 8, 6169-6187.
22. Evensen, G. (1994), Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, J. Geophys. Res., 99, 10,143-10,162.
23. Evensen, G. (2003), The ensemble Kalman filter: Theoretical formulation and practical implementation, Ocean Dyn., 53, 343-367.
24. Geer, A. J., et al. (2006), The ASSET intercomparison of ozone analyses: Method and first results, Atmos. Chem. Phys., 6, 5445-5474.
25. 2 inversion intercomparison: J. Annual mean control results and sensitivity to transport and prior flux information, Tellus, Ser. B, 55, 555-579.
26. Hoffman, R. N., and E. Kalnay (1983), Lagged average forecasting: An alternative to Monte Carlo forecasting, Tellus, Ser. A, 35, 100-118.
27. Hoke, J. E., and R. A. Anthes (1976), The initialization of numerical models by a dynamic initialization technique, Mon. Weather Rev., 104, 1551-1556.
28. Houtekamer, P. L., and H. L. Mitchell (1998), Data assimilation using an ensemble Kalman filter technique, Mon. Weather Rev., 126, 796-811.
29. Houtekamer, P. L., H. L. Mitchell, G. Pellerin, M. Buehner, M. Charron, L. Spacek, and B. Hansen (2005), Atmospheric data assimilation with an ensemble Kalman filter: Results with real observations, Mon. Weather Rev., 133, 604-620.
30. Hunt, B. R., E. J. Kostelich, and I. Szunyogh (2007), Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter, Physica D, 230, 112-126.
31. Jeuken, A., P. Siegmund, L. Heijboer, J. Feichter, and K. Bengtsson (1996), On the potential of assimilating meteorological analyses in a global climate model for the purposes of model validation, J. Geophvs. Res., 101, 16,939-16,950.
32. Kalnay, E., H. Li, T. Miyoshi, S. C. Yang, and J. Ballabrera-Poy (2007), 4-D-Var or ensemble Kalman filter?, Tellus, Ser A, 59, 758-773.
33. Kanamitsu, M., W. Ebisuzaki, J. Woollen, S.-K. Yang, J. J. Hnilo, M. Fiorino, and G. L. Potter (2002), NCEP-DOE AM1P-I1 reanalysis (R-2), Bull. Am. Meteorol. Soc., 83, 1631-1643.
34. Khattatov, B. V., J.-F. Lamarque, L. V. Lyjak, R. Menard, P. F. Levelt, X. X. Tie, G. P. Brasseur, and J. C. Gille (2000), Assimilation of satellite observations of long-lived chemical species in global chemistry transport models, J. Geophys. Res., 105, 29,135-29,144.
35. Kinnison, D. E., et al. (2007), Sensitivity of chemical tracers to meteorological parameters in the MOZART-3 chemical transport model, J. Geophys. Res., 112, D20302, doi:10.1029/2006JD007879. (Pubitemid 350285723)
36. Lahoz, W. A., Q. Errera, R. Swinbank, and D. Fonteyn (2007), Data assimilation of stratospheric constituents: A review, Atmos. Chem. Phys., 7, 5745-5773. (Pubitemid 350159160)
37. Lorenc. A. C. (1986), Analysis methods for numerical weather prediction, Q. J. R. Meteorol. Soc., 112, 1177-1194.
38. Lorenc, A. C. (2003), The potential of the ensemble Kalman filter for NWP-A comparison with 4D-Var, Q. J. R. Meteorol. Soc., 129, 3183-3203.
39. Miyazaki, K., and T. Iwasaki (2005), Diagnosis of meridional ozone transport based on mass weighted isentropic zonal means, J. Atmos. Sci., 63, 1192-1208.
40. Miyazaki, K., T. Iwasaki, K. Shibata, M. Deushi, and T. Sekiyama (2005), The impact of changing meteorological variables to be assimilated into GCM on ozone simulation with MRI CTM, J. Meteorol. Soc. Jpn., 83, 909-918.
41. Miyazaki, K., P. K. Patra, M. Takigawa, T. Iwasaki, and T. Nakazawa (2008), Global-scale transport of carbon dioxide in the troposphere, J. Geophys. Res., 113, D15301, doi: 10.1029/2007JD009557.
42. Miyoshi, T. (2005), Ensemble Kalman filter experiments with a primitive- equation global model, doctoral dissertation, 197 pp., Univ. of Md., College Park.
43. Miyoshi, T., S. Yamane, and T. Enomoto (2007), The AFES-LETKF experimental ensemble reanalysis: ALERA, SOLA, 3, 45-48.
44. Monge-Sanz, B. VI. M. P. Chipperfield, A. J. Simmons, and S. Uppala (2007), Mean age of air and transport in a CTM: Comparison of different ECMWF analyses, Geophys. Res. Lett, 34, L04801, doi:10.1029/2006GL028515. (Pubitemid 47272082)
45. Numaguti, A., M. Takahashi, T. Nakajima, and A. Sumi (1995), Development of an atmospheric general circulation model, in Reports of a New Program for Creative Basic Research Studies, pp. 1 -27, Cent, for Clim. Syst. Res., Tokyo.
46. Ott, E., B. R. Hunt, I. Szunyogh, A. V. Zimin, E. J. Kostelich, M. Corazza, E. Kalnay, D. J. Patil, and J. A. Yorke (2004), A local ensemble Kalman filter for atmospheric data assimilation, Tellus, Ser. A, 56, 415-428.
47. 2 inverse modeling, Global Biogeochem. Cycles, 19, GB4013, doi:10.1029/2004GB002257. (Pubitemid 43280676)
48. Pawson, S., et al. (2000), The GCM-Reality Intercomparison Project for SPARC (GRIPS): Scientific issues and initial results, Bull. Am. Meteorol. Soc, 81, 781-796.
49. Polavarapu, S., T. G. Shepherd, Y. Rochon, and S. Ren (2005), Some challenges of middle atmosphere data assimilation, Q. J. R. Meteorol. Soc, 131, 3513-3527.
50. Rood, R. (2005), Assimilation of stratospheric meteorological and constituent observations: A review, SPARC Newsl., 25, 31-37. (Available at http://www.atmosp.physics.utoronto.ca/SPARC/Newsletter25.pdf)
51. Scheele, M. P., P. C. Siegmund, and P. F. J. van Velthoven (2005), Stratospheric age of air computedwith trajectories based on various 3D-Var and 4D-Var data sets, Atmos. Chem. Phys., 5, 1-7.
52. Schoeberl, M. R., A. R. Douglass, Z. Zhu, and S. Pawson (2003), A comparison of the lower stratospheric age spectra derived from a global circulation model and two data assimilation systems, J. Geophys. Res., 108(D3), 4113, doi:10.1029/2002JD002652.
53. Stensrud, D. J., and J.-W. Bao (1992), Behaviors of variational and nudging assimilation techniques with a chaotic low-order model, Mon. Weather Rev, 120, 3016-3028.
54. Szunyogh, I., E. J. Kostelich, G. Gyarmati, D. J. Patil, B. R. Hunt, E. Kalnay, E. Ott, and J. A. Yorke (2005), Assessing a local ensemble Kalman filter: Perfect model experiments with the NCEP global model, Tellus, Ser. A, 57, 528-545.
55. Szunyogh, I., E. J. Kostelich, G. Gyarmati, E. Kalnay, B. R. Hunt, E. Ott, E. A. Satterfield, and J. A. Yorke (2008), A local ensemble transform Kalman filter data assimilation system for the NCEP global model, Tellus, Ser. A, 60, 113-130.
56. Tan, W. W., M. A. Geller, S. Pawson, and A. da Silva (2004), A case study of excessive subtropical transport in the stratosphere of a data assimilation system, J. Geophys. Res., 109, D11102, doi:10.1029/2003JD004057. (Pubitemid 39103532)
57. Telford, P. J., P. Braesicke, O. Morgenstern, and J. A. Pyle (2008), Technical note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701-1712.
58. van Aalst, M. K., et al. (2004), Trace gas transport in the 1999/2000 Arctic winter: Comparison of nudged GCM runs with observations, Atmos. Chem. Phys., 4,81-93.
59. van Noije, T. P. C, H. J. Eskes, M. van Weele, and P. van Velthoven (2004), Implications of the enhanced Brewer-Dobson circulation in ERA-40 for the stratosphere-troposphere exchange of ozone in global chemistry- transport models, J. Geophys, Res., 109, D19308. doi:10.1029/2004JD004586. (Pubitemid 40005278)
60. Wargan, K., I. Stajner, S. Pawson, R. B. Rood, and W.-W. Tan (2005), Assimilation of ozone data from the Michelson Interferometer for Passive Atmospheric Sounding, Q. J. R. Meteorol. Soe, 131, 2713-2734.