Skip to main content
Have a personal or library account? Click to login
On the observability of chemical and physical aerosol properties by optical observations: Inverse modelling with variational data assimilation Cover

On the observability of chemical and physical aerosol properties by optical observations: Inverse modelling with variational data assimilation

By:   
Open Access
|Jan 2009

References

  1. Andersson , C. , Langner , J. and Bergstrom , R . 2007 . Interannual variation and trends in air pollution over Europe due to climate variability during 1958-2001 simulated with a regional CTM coupled to the ERA40 reanalysis . Tellus 59B , 77 98 .
  2. Benedetti , A. and Fisher , M . 2007 . Background error statistics for aerosols . Q. J. R. MeteoroL Soc . 133 , 391 405 .
  3. Berre , L . 2000 . Estimation of synoptic and mesoscale forecast error covariances in a limited-area model . Mon. Wea. Rev . 128 , 644 667 .
  4. Collins , W. D. , Rasch , P. J. , Eaton , B. E. , Khattatov , B. V. and Lamarque , J.F. 2001. Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX. J. Geophys. Res . 106 , 7313 7336.
  5. Constantinescu , E. M. , Sandu , A. , Chai , T. and Carmichael , G. R . 2007a . Ensemble-based chemical data assimilation. I: General approach . Q. J. Roy. Meteorol. Soc . 133 , 1229 1243 .
  6. Constantinescu , E. M. , Sandu , A. , Chai , T. and Carmichael , G. R . 2007b . Ensemble-based chemical data assimilation. II: Covariance localiza-tion . Q. J. Roy. MeteoroL Soc . 133 , 1245 1256 .
  7. Dockery , D. , Pope , C. , XU , X. , Spengler , J. , Ware , J. , et al, 1993. An association between air-pollution and mortality in 6 United-States cities. N. Engl. J. Med. 329(24), 1753 1759.
  8. Dusek , U. , Frank , G. P. , Hildebrandt , L. , Curtius , J. , Schneider , J. , et al, 2006. Size matters more than chemistry for cloud-nucleation ability of aerosol particles. Science 312, 1375 1378.
  9. Elbern , H. and Schmidt , H . 1999. A four-dimensional variational chem-istry data assimilation scheme for Eulerian chemistry transport mod-eling. J. Geophys. Res . 104 , 18583 18598.
  10. Elbern , H. and Schmidt , H . 2001 . Ozone episode analysis by four-dimensional variational chemistry data assimilation . J. Geophys. Res . 106 , 3569 3590 .
  11. Elbern , H. , Schmidt , H. and Ebel , A. 1997. Variational data assimilation for tropospheric chemistry modeling. J. Geophys. Res . 102 , 15967-15 985.
  12. Elbern , H. , Schmidt , H. , Talagrand , O. and Ebel , A. 2000. 4D-variational data assimilation with and adjoint air quality model for emission analysis. Environ. Model. Software 15, 539 548.
  13. Elbern , H. , Strunk , A. , Schmidt , H. and Talagrand , O. 2007. Emission rate and chemical state estimation by 4-dimensional variational inver-sion. Atmos. Chem. Phys. 7, 3749 3769.
  14. Eleftheriadis , K. , Colbeck , I. , Housiadas , C. , Lazaridis , M. , Mihalopou-los , N. , et al, 2006. Size distribution, composition and origin of the submicron aerosol in the marine boundary layer during the eastern mediterranean SUB-AERO experiment. Atmos. Env. 40, 6245 6260.
  15. Evensen , G . 2007. Data Assimilation — the Ensemble Kalman Filter Springer , Berlin.
  16. Foltescu , V , Pryor , S. C. and Bennet , C . 2005 . Sea salt generation, dispersion and removal on the regional scale . Atmos. Environ . 39 , 2123 2133 .
  17. Forster , R , Ramaswamy , V. , Artaxo , P.R. Betts , T. B. , Fahey , D. , et al, 2007. Changes in atmospheric constituents and in radiative forcing. In: Climate Change 2007 : The Physical Science Basis , (eds. S. Solomon , D. Qin , M. Manning , Z. Chen , M. Marquis , K. Averyt , M. Tignor and H. Miller ), Contribution of Working Group Ito the Fourth Assessment Report of the Intergovernmetal Panel on Climate Change, Cambridge University Press , Cambridge.
  18. Gustafsson , N. , Berre , L. , Hörnquist , S. , Huang , X.-Y. , Lindskog , M. , et al, 2001 . Three-dimensional variational data assimilation for a lim-ited area model part I: General formulation and the background error constraint . Tellus 53A , 425 446 .
  19. Harrison , R. and Yin , J . 2000 . Particulate matter in the atmosphere: which particle properties are important for its effects on health? Sci. Total Environ . 249 ( 1-3 ), 85 101 .
  20. Hess , M. , Koepke , P. and Schuh , I . 1998 . Optical properties of aerosols and clouds: The software package OPAC . Bull. Am. Met. Soc . 79 , 831 844 .
  21. Jacobson , M. Z . 2001 . Global direct radiative forcing due to multicom-ponent anthropogenic and natural aerosols . J. Geophys. Res . 106 , 1551 1568 .
  22. Jazwinslci , A. H . 2007 . Stochastic Processes and Filtering Theory . Dover , Mineola .
  23. Kahnert , F. M . 2004 . Reproducing the optical properties of fine desert dust aerosols using ensembles of simple model particles . J. Quant. Spectrosc. Radiat. Transfer 85 , 231 249 .
  24. Kahnert , M . 2008 . Variational data analysis of aerosol species in a re-gional CTM: Background error covariance constraint and aerosol op-tical observation operators . Tellus 60B , 753 770 .
  25. Kahnert , M. and Kylling , A . 2004 . Radiance and flux simulations for mineral dust aerosols: Assessing the error due to using spher-ical or spheroidal model particles . J. Geophys. Res . 109 , D09203 , 10.1029/2003JD004318 , errata: doi: 10.1029/2004JD005311 .
  26. Kahnert , M. and Nousiainen , T . 2006 . Uncertainties in measured and modelled asymmetry parameters of mineral dust aerosols . J. Quant. Spectrosc. Radiat. Transfer 100 , 173 178 .
  27. Kahnert , M. , Nousiainen , T. and Veihelmann , B . 2005. Spherical and spheroidal model particles as an error source in aerosol climate forcing and radiance computations: A case study for feldspar aerosols. J. Geophys. Res . 110. 10.1029/2004JD005558 .
  28. Kahnert , M. , Nousiainen , T. and Räisdnen , P . 2007 . Mie simulations as an error source in mineral aerosol radiative forcing calculations . Q. J. R. Met. Soc . 133 , 299 307 .
  29. Lohmann , U. and Lesins , G . 2002 . Stronger constraints on the anthro-pogenic indirect aerosol effect . Science 298 , 1012 1014 .
  30. Matta , E. , Facchini , M. , Decesari , S. , Mircea , M. , Cavalli , F. , et al, 2003 . Mass closure on the chemical species in size-segregated atmospheric aerosol collected in an urban area of the Po Valley, Italy . Atmos. Chem. Phys . 3 , 623 637 .
  31. McFiggans , G. , Artaxo , P. , Baltensperger , U. , Coe , H. , Facchini , M. C , et al, 2006. The effect of physical and chemical aerosol properties on warm cloud droplet activation. Atmos. Chem. Phys. 6, 2593 2649.
  32. Mishchenko , M. I. , Cairns , B. , Kopp , G. , Schueler , C. , Fafaul , B. A. , et al, 2007. Accurate monitoring of terrestrial aerosols and total solar irradiance: Introducing the Glory mission. Bull. Am. Met. Soc. 88, 677 691.
  33. Myhre , G. and Stordal , E 2001 . Global sensitivity experiments of the ra-diative forcing due to mineral aerosols . J. Geophys. Res . 106 , 18193 18204 .
  34. Nousiainen , T. , Kahnert , M. and Veihelmann , B . 2006 . Light scatter-ing modeling of small feldspar aerosol particles using polyhedral prisms and spheroids . J. Quant. Spectrosc. Radiat. Transfer 101 , 471 487 .
  35. Parrish , D. F. and Derber , J. C . 1992 . The National Meteorological Centre's spectral statistical interpolation analysis system . Mon. Wea. Rev . 120 , 1747 1763 .
  36. Penner , J. E. , Dong , X. and Chen , Y . 2004 . Observational evidence of a change in radiative forcing due to the indirect aerosol effect . Nature 427 , 231 234 .
  37. Pope , C. A. , Ezzati , M. and Dockery , D. W . 2009 . Fine-particulate air pollution and life expectancy in the United States . N. Engl. J. Med . 360 ( 4 ), 376 386 .
  38. Robertson , L. , Langner , J. and Enghardt , M. 1999. An Eulerian limited-area atmospheric transport model. J. AppL MeteoroL 38 , 190 210. Rosenfeld, D. 2006. Aerosols, clouds, and climate. Science 312, 1323 1324.
  39. Sandu , A. , Liao , W. , Henze , D. K. , Carmichael G. R. and Seinfeld , J. H . 2005 . Inverse modeling of aerosol dynamics using adjoints: Theoretical and numerical considerations . Aerosol Sci. TechnoL 39 ), 677 694 .
  40. Schulz , E M. , Stamnes , K. and Stamnes , J. J . 1998 . Modeling the radia-tive transfer properties of media containing particles of moderately and highly elongated shape . Geophys. Res. Lett . 25 , 4481 4484 .
  41. Schulz , FM. , Stamnes , K. and Stamnes , J. J . 1999 . Shape-dependence of the optical properties in size-shape distributions of randomly oriented prolate spheroids, including highly elongated shapes . J. Geophys. Res . 104 , 9413 9421 .
  42. Sokolilc , I. N. and Toon , O. B. 1999. Incorporation of mineralogical composition into models of the radiative properties of mineral aerosols from UV to IR wavelengths. J. Geophys. Res . 104 , 9423 9444.
  43. Stier , R , Seinfeld , J. H. , Kinne , S. and Boucher , O. 2007. Aerosol absorption and radiative forcing. Atmos. Chem. Phys. 7, 5237 5261.
  44. Veihelmann , B. , Nousiainen , T. , Kahnert , M. and van der Zande , W. 2006. Light scattering by small feldspar particles simulated using the Gaussian random sphere geometry. J. Quant. Spectrosc. Radiat. Transfer 100(1-3), 393 405.
Language: English
Page range: 747 - 755
Submitted on: Mar 26, 2009
Accepted on: Jul 2, 2009
Published on: Jan 1, 2009
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2009 Michael Kahnert, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.