Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission

Atmospheric Chemistry and Physics

Volumn 7, Issue 21, 2007, Pages 5695-5710

  Arellano Jr , A F ^a   Raeder, K ^b   Anderson, J L ^b   Hess, P G ^a   Emmons, L K ^a   Edwards, D P ^a   Pflster, G G ^a   Campos, T L ^a   Sachse, G W ^c  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^c NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MODELING; CARBON MONOXIDE; DATA ASSIMILATION; KALMAN FILTER; PERFORMANCE ASSESSMENT; SATELLITE DATA; SOFTWARE; TROPOSPHERE;

EID: 36249007383     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-7-5695-2007     Document Type: Article

References (67)

1. Allen, D. J., Kasibhatla, P. S., Thompson, A. M., et al..: Transportinduced interannual variability of carbon monoxide determined using a chemistry and transport model, J. Geophys. Res., 101, 28 655-28 670, doi: 10.1029/96JD02984, 1996.
2. Anderson, J. L. and Anderson, S. L.: A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts, Mon. Weather Rev., 127, 2741-2758, 1999.
3. Anderson, J. L.: An ensemble adjustment Kalman Filter for data assimilation, Mon. Weather Rev., 129, 2884-2903, 2001.
4. Anderson, J. L.: Exploring the need for localization in ensemble data assimilation using an hierarchical ensemble filter, Physica D, 230, 99-11, doi:10.1016/j.physd.2006.02.011, 2007a.
5. Anderson, J. L.: An adaptive covariance inflation error correction algorithm, for ensemble filters, Tellus A, 59, 210-224, 2007b.
6. Arellano Jr., A. F., Kasibhatla, P. S, Giglio, L., et al.: Top-down estimates of global CO sources using MOPITT measurements, Geophys. Res. Lett., 31, L01104, doi:10.1029/2003GL018609, 2004.
7. Arellano, A. F. and Hess, P. G.: Sensitivity of top-down estimates of CO sources to GCTM transport, Geophys. Res. Lett., 33, L21807, doi:10.1029/ 2006GL027371, 2006.
8. Auger, L. and Tangborn, A. V.: A Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations, Mon. Weather Rev., 132, 1220-1237, 2004.
9. Bey, I., Jacob, D. J., Logan, J. A., and Yantosca, R. M.: Asian chemical outflow to the Pacific in spring: Origins, pathways, and budgets, J. Geophys. Res., 106, 23 097-23114, doi: 10.1029/2001JD000806, 2001.
10. Chai T., Carmichael, G. R., Sandu, A., et al.: Chemical data assimilation of Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft measurements, J. Geophys. Res., 111, D02301, doi:10.1029/2005JD005883, 2006.
11. Clerbaux, C., Hadji-Lazaro, J., Hauglustaine, D., et al.: Assimilation of carbon monoxide measured from satellite in a threedimensional chemistry-transport model, J. Geophys. Res., 106, 15385-15 394, doi:10.1029/2000JD900682, 2001.
12. Collins, W. D., Rasch, P. J., Eaton, B. E., et al.: Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX, J. Geophys. Res., 106, 7313-7336, doi:10.1029/2000JD900507, 2001.
13. Collins, W. D., Bitz, C. M., Blackmon, M. L., et al.: The Formulation and atmospheric simulation of the Community Atmosphere Model Version 3 (CAM3), J. Climate, 19(11), 2144-2161, 2006.
14. Dee, D. P.: Bias and data assimilation, Q. J. Roy. Meteor. Soc., 131(613), 3323-3343, 2005.
15. Deeter, M. N., Emmons, L. K., Edwards, D. P., et al.: Vertical resolution and information content of CO profiles retrieved by MOPITT, Geophys. Res. Lett., 31, L15112, doi:10.1029/2004GL020235, 2004.
16. Dethof, A. and Holm, E.: Ozone assimilation in the ERA-40 reanalysis project, Q. J. R. Meteor. Soc., 130, 2851-2872, 2004.
17. Eben, K., Juru, P., Resler, J., et al.: An ensemble Kalman filter for short-term forecasting of tropospheric ozone concentrations, Q. J. Roy. Meteor. Soc., 131, 3313-3322, 2005.
18. Elbern, H., Strunk, A., Schmidt, H., and Talagrand, O.: Emission rate and chemical state estimation by 4-dimensional variational inversion, Atmos. Chem. Phys., 7, 1-59, 2007, http://www.atmos-chem-phys.net/7/1/2007/.
19. Elbern, H. and Schmidt, H.: A four-dimensional variational chemistry data assimilation scheme for Eulerian chemistry transport modeling, J. Geophys. Res., 104,18583-18598, 1999.
20. Elbern, H., Schmidt, H., Talagrand, O., andEbel, A.: 4D-variational data assimilation with an adjoint air quality model for emission analysis, Environ. Modell. Software, 15, 539-548, 2000.
21. Emmons, L. K., Deeter, M. N., Gille, J. C., et al.: Validation of Measurements of Pollution in the Troposphere (MOPITT) CO retrievals with aircraft in situ profiles, J. Geophys. Res., 109, D03309, doi:10.1029/ 2003JD004101, 2004.
22. Emmons, L. K., Pfister, G. G., Edwards, D. P., et al.: Measurements of Pollution in the Troposphere (MOPITT) validation exercises during summer 2004 field campaigns over North America, J. Geophys. Res., 112, D12S02, doi:10.1029/2006JD007833, 2007.
23. Engelen, R. J. and McNally, A. P.: Estimating atmospheric CO2 from advanced infrared satellite radiances within an operational four-dimensional variational (4D-Var) data assimilation system.: Results and. validation, J. Geophys. Res., 110, D18305, doi:10.1029/2005JD005982, 2005.
24. Eskes, H. J., Van Velthoven, P. F. J., Valks, P. J. M., et al.: Assimilation of GOME total ozone satellite observations in a threedimensional tracer transport model, Q. J. Roy. Meteor. Soc., 129, 1663-1681, 2003.
25. Evensen, G.: Sequential data assimilation with a nonlinear quasigeostrophic model using Monte-Carlo methods to forecast error statistics, J. Geophys., Res., 99, 10 143-10 162, 1994.
26. Fisher, M. and Lary, D. J.: Lagrangian four-dimensional variational data assimilation of chemical species, Q. J. Roy. Meteor. Soc., 121, 1681-1704, 1995.
27. Frankenberg, C., Meirink, J. F., Bergamaschi, P., et al.: Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: Analysis of the years 2003 and 2004, J. Geophys. Res., 111, D07303, doi:10.1029/ 2005JD006235, 2006.
28. Gaspari, G. and Cohn, S. E.: Construction of correlation functions in two and three dimensions, Q. J. Roy. Meteor. Soc., 125, 723-758, 1999.
29. Giglio, L., Csiszar, I., and. Justice, C. O.: Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, J. Geophys. Res., 111, G020.16, doi: 10.1029/2005JG000142, 2006.
30. Granier, C., Müller, J.-F. , Pétron, G., et al.: A three-dimensional study of the global CO budget, Chemosphere, Global. Change Sci., 1, 255-261, 1999.
31. Hami.1.1, T. M., Whitaker, J., and Snyder, C.: Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter, Mon. Weather Rev., 129, 2776-2790, 2001.
32. Hanea, R. G., Velders, G. J. M., and Heemink, A.: Data assimilation of ground-level ozone in Europe with a Kalman filter and chemistry transport model, J. Geophys. Res., 109, D10302, doi:10.1029/2003JD004283, 2004.
33. Houtekamer, P. L. and Mitchell, H. L.: Data assimilation using an ensemble Kalman filter technique, Mon. Weather Rev., 126, 796-811, 1998.
34. Houtekamer, P. L., Mitchell, H. L., Pellerin, G., et al.: Atmospheric data assimilation with an ensemble Kalman filter: Results with real observations, Mon. Weather Rev., 133(3), 604-620, 2005.
35. Jaffe, D., Anderson, T., Covert, D., et al.: Transport of Asian air pollution to North America, Geophys. Res. Lett., 26(6), 711-714, doi:10.1029/1999GL900100, 1999.
36. Juckes, M. N. and Lawrence, B. N.: Data Assimilation for Reanalyses: potential gains from full use of post-analysis-time observations, Tellus A, 58(2), 171-178, 2006.
37. Khattatov, B. V., Lamarque, J.-F., Lyjak, L. V., et al.: Assimilation of satellite observations of long-lived chemical species in global chemistry transport models, J. Geophys. Res., 105(D23), 29 135-29 144, doi:10.1029/2000JD900466, 2000.
38. Lamarque, J.-F., Khattatov, B. V., Gille, J. C., and Brasseur, G. P.: Assimilation of Measurement of Air Pollution from space (MAPS) CO in a global three-dimensional model, J. Geophys. Res., 104(D21), 26209-26218, doi: 10.1029/1999JD900807, 1999.
39. Lamarque J.-F. and Gille, J. C.: Improving the modeling of error variance evolution in the assimilation of chemical species: Application to MOPITT data, Geophys. Res. Lett., 30(9), 1470, doi:10.1029/2003GL016994, 2003.
40. Lamarque, J.-E, Khattatov, B. V., and. Gille, J. C.: Constraining tropospheric ozone column through data assimilation, J. Geophys. Res., 107(D22), 4651, doi:10.1029/2001JD001249, 2002.
41. Lamarque, J.-F., Khattatov, B. V.Yudin, V., et al.: Application of a bias estimator for the improved assimilation of Measurements of Pollution in the Troposphere (MOPITT) carbon monoxide retrievals, J. Geophys. Res., 109, D16304, doi:10.1029/2003JD004466, 2004.
42. Lamarque J.-F., Kiehl, J. T., Hess, P. G., et al.: Response of a coupled chemistry climate model to changes in aerosol emissions: Global impact on the hydrological cycle and the tropospheric burdens of OH, ozone, and NOx, Geophys. Res. Lett., 32, L16809, doi:10.1029/2005GL023419, 2005.
43. Lary, D. J.: Data assimilation: a powerful tool for atmospheric chemistry, Philos. Trans. R. Soc. Lond. Ser. A. Math Phys., 357(1763), 3445-3457, 1999.
44. Lawrence, M. G., Hov, Ø., Beekmann, M., et al.: The Chemical. Weather, Environ. Chem., 2, 6-8, doi:10.1071/EN05014, 2005.
45. Levelt, P. F., Khattatov, B. V., Gille, J. C., et al.: Assimilation of MLS ozone measurements in the global three-dimensional chemistry transport model ROSE, Geophys. Res. Lett., 25(24), 4493-4496, doi:10.1029/1998GL900152, 1998.
46. Liang, Q., Jaeglé, L., Jaffe, D. A., et al.: Long-range transport of Asian pollution to the northeast Pacific: Seasonal variations and transport pathways of carbon monoxide, J. Geophys. Res., 109, D23S07, doi:10.1029/ 2003JD004402, 2004.
47. Logan, J. A., Prather, M. J., Wofsy, S. C., and McElroy, M. B.: Tropospheric chemistry: A global perspective, J. Geophys. Res., 86,7210-7254, 1981.
48. Lorenc, A. C.: The potential of the ensemble Kalman . Iter for NWP-a comparison with 4D-Var, Q. J. Roy. Meteor. Soc., 129, 3183-3203, 2003.
49. McLaughlin, D., O'Neill, A., Derber, J., and Kamachi, M.: Opportunities for enhanced collaboration within the data assimilation community, Q. J. Roy. Meteor. Soc., 131, 3683-3693, 2005.
50. Menard, R., Cohn, S. E., Chang, L.-P., and Lyster, P. M.: Assimilation of Stratospheric Chemical Tracer Observations Using a Kalman Filter, Part I: Formulation, Mon. Weather Rev., 128, 2654-2671, 2000.
51. Muller, J. R and T. Stavrakou, T.: Inversion of CO and NOx emissions using the adjoint of the IMAGES model, Atmos. Chem. Phys., 5, 1157-1186, 2005, http://www.atmos-chem-phys.net/5/l 157/2005/.
52. Novelu, P. C., Masarie, K. A., Lang, P. M., et al.: Reanalysis of tropospheric CO trends: Effects of the 1997-1998 wildfires, J. Geophys. Res., 108(D15), 4464, doi:10.1029/2002JD003031, 2003.
53. 2 surface fluxes from atmospheric trace gas observations, J. Geophys. Res., 110, D24304, doi:10.1029/2005JD006157, 2005.
54. Pétron, G., Granier, C., Khattatov, B., et al.: Monthly CO surface sources inventory based, on the 2000-2001 MOPITT satellite data, Geophys. Res. Lett., 31, L21107, doi:10.1029/2004GL020560, 2004.
55. Rabier, F.: Overview of global data assimilation developments in numerical weather-prediction centres, Q. J. Roy. Meteor. Soc., 131, 3215-3233, 2005.
56. Rasch, P. J., Coleman, D. B., Mahowald, N., et al.: Characteristics of atmospheric transport using three numerical formulations for atmospheric dynamics in a single GCM framework, J. Climate, 19(11), 2243-2266, 2006.
57. Rasch, P. J., Collins, W D., and Eaton, B. E.: Understanding the Indian Ocean Experiment (INDOEX) aerosol distributions with an aerosol assimilation, J. Geophys. Res., 106(D7), 7337-7356, doi: 10.1029/2000JD900508, 2001.
58. Rayner, P. J., Scholze, M., Knorr, W., et al.: Two decades of terrestrial carbon fluxes from a carbon cycle data assimilation system (CCDAS), Global Biogeochem. Cy., 19, GB2026, doi: 10.1029/2004GB002254, 2005.
59. Sandu, A., Constantinescu, E. M., Liao, W., et al.: Ensemblebased data assimilation for atmospheric chemical transport models, Lect. Notes in Comp. Sci., 3515, 648-655, 2005.
60. Sekiyama, T. T. and Shibata, K.: Predictability of Total Ozone Using a Global Three-Dimensional Chemical Transport Model Coupled with the MRI/JMA98 GCM, Mon. Weather Rev. 133(8), 2262-2274, 2005.
61. Stajner, I., Riishøjgaard, L. P., and Rood, R.: The GEOS ozone data assimilation system: specification of error statistics, Q. J. Roy. Meteor. Soc., 127, 1069-1094, 2001.
62. Tippett, M. K., Anderson, J. L., Bishop, C. H., et al.: Ensemble square root filters, Mon. Weather Rev., 13.1, 1485-1490, 2003.
63. Van Loon, M., Builtjes, P. J. H., and Segers, A.: Data assimilation of ozone in the atmospheric transport chemistry model LOTOS, Env. Mod. Softw., 15, 603-609, 2000.
64. van der Werf, G. R., Randerson, J. T., Giglio, L., et al.: Interannual variability in biomass burning emissions from 1997 to 2004, Atmos. Chem. Phys., 6, 3423-3441, 2006, http://www.atmos-chem-phys.net/6/3423/2006/.
65. Wang, K. Y., Lary, D. J., Shallcross, D. E., et al.: A review on the use of the adjoint method in four-dimensional atmosphericchemistry data assimilation, Q. J. Roy. Meteor. Soc., 127(576), 2181-2204, 2001.
66. Yienger, J. J., Galanter, M., Holloway, T. A., et al.: The episodic nature of air pollution transport from Asia to North America, J. Geophys. Res., 105(D22), 26931-26946, doi:10.1029/2000JD900309, 2000.
67. Yudin, V. A., Pétron, G., Lamarque, J.-F., et al.: Assimilation of the 2000-2001 CO MOPITT retrievals with optimized surface emissions, Geophys. Res. Lett., 31, L20105, doi:10.1029/2004GL021037, 2004.