Cloud-scale model intercomparison of chemical constituent transport in deep convection

Atmospheric Chemistry and Physics

Volumn 7, Issue 18, 2007, Pages 4709-4731

  Barth, M C ^a   Kim, S W ^a,j   Wang, C ^b   Pickering, K E ^c,k   Ott, L E ^c,k   Stenchikov, G ^d   Leriche, M ^e   Cautenet, S ^e   Pinty, J P ^e   Barthe, Ch ^e   Mari, C ^e   Helsdon, J H ^f   Farley, R D ^f   Fridlind, A M ^g,l   Ackerman, A S ^g,l   Spiridonov, V ^h   Telenta, B ⁱ  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d RUTGERS UNIVERSITY   (United States)

^e CNRS   (France)

^f SOUTH DAKOTA SCHOOL OF MINES AND TECHNOLOGY   (United States)

^g NASA AMES RESEARCH CENTER   (United States)

^h Rep Institute of Hydrometeorology   (Macedonia)

ⁱ SENES Consultant Ltd   (Canada)

^j UNIVERSITY OF COLORADO   (United States)

^k NASA GODDARD SPACE FLIGHT CENTER   (United States)

^l NASA GODDARD INSTITUTE FOR SPACE STUDIES   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; ATMOSPHERIC CHEMISTRY; ATMOSPHERIC CONVECTION; ATMOSPHERIC MODELING; CARBON MONOXIDE; COMPARATIVE STUDY; MIXING RATIO; NITRIC OXIDE; PHOTOLYSIS; SCAVENGING (CHEMISTRY); TRACE GAS; TROPOSPHERE; WET DEPOSITION;

EID: 34548794858     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-7-4709-2007     Document Type: Article

References (92)

1. Ackerman, A. S., Toon, O. B., and Hobbs, P. V.: A model for particle microphysics, turbulent mixing, and radiative-transfer in the stratocumulus-topped marine boundary-layer and comparisons with measurements, J. Atmos. Sci., 52, 1204-1236, 1995.
2. Allen, D. J., Douglass, A. R., and Rood, R. B.: Applications of a monotonic upstream transport scheme to three-dimensional constituent transport calculations, Mon. Weather Rev., 119, 2456-2464, 1991.
3. Arakawa, A.: Computational design for long term integration of the equations of motion: Two-dimensional incompressible flow, J. Comput. Phys., 1, 119-143, 1966.
4. Arteta, J., Cautenet, S., Taghavi, M., and Audiffren, N.: Impact of two chemistry mechanisms fully coupled with mesoscale model on the atmospheric pollutants distribution, Atmos. Environ., 40, 7983-8001, 2006.
5. Audiffren, N., Renard, M., Buisson, E., and Chaumerliac, N.: Deviations from the Henry's law equilibrium, during cloud events: A numerical approach of the mass transfer between phases and its specific numerical effects, Atmos. Res., 49, 139-161, 1998.
6. Barth, M. C., Stuart, A. L., and Skamarock, W. C.: Numerical simulations of the July 10 STERAO/Deep Convection storm.: Redistribution of soluble tracers, J. Geophys. Res., 106, 12381-12400, 2001.
7. Barth, M. C., Hess, P. G., and Madronich, S.: Effect of marine boundary layer clouds on tropospheric chemistry as analyzed in a regional, chemistry transport model, J. Geophys. Res., 107, 4126, doi:10.1029/2001JD000468, 2002.
8. Barth, M. C., Kim, S.-W., Skamarock, W. C., Stuart, A. L., Pickering, K. E., and Ott, L. E.: Simulations of the redistribution of formaldehyde, formic acid, and peroxides in the July 10, 1996 STERAO deep convection storm, J. Geophys. Res., 112, D13310, doi:10.1029/2006JD008046, 2007.
9. Barthe, C., Molinie, G., and Pinty, J.-P.: Description and first results of an explicit electrical scheme in a 3D cloud resolving model, Atmos. Res., 76, 95-113, 2005.
10. x in an explicit electrical scheme tested in a Stratosphere-Troposphere Experiment: Radiation, Aerosols, and Ozone case study, J. Geophys. Res., 112, D04302, doi:10.1029/2006JD007402, 2007.
11. Bott, A.: A positive definite advection scheme obtained by nonlinear renormalization of the advective fluxes, Mon. Weather Rev., 117, 1006-1015, 1989.
12. Bott, A.: The monotone area-preserving flux-form advection algorithm: Reducing the time-splitting error in two-dimensional flow fields, Mon. Weather Rev., 121, 2637-2641, 1993.
13. Clark, T. L.: A small-scale dynamic model using a terrain-following coordinate transformation, J. Comput. Phys., 24, 186-215, 1977.
14. Clark, T. L.: Numerical, simulations with a three-dimensional cloud model: Lateral boundary condition experiments and multicellular severe storm simulations, J. Atmos. Sci., 36, 2191-22.15, 1979.
15. Clark, T. L. and Farley, R. D.: Severe downslope windstorm calculations in two and three spatial dimensions using anelastic interactive grid nesting: A possible mechanism for gustiness, J. Atmos. Sci.., 41, 329-350, 1984.
16. Clark, T. L. and Hall, W. D.: Multi-domain simulations of the time dependent Navier Stokes equation: Benchmark error analyses of nesting procedures, J. Comp Phys., 92, 456-481, 1991.
17. Cohan, D. S., Schultz, M. G., Jacob, D. J., Heikes, B. G., Blake, D. R.: Convective injection and photochemical decay of peroxides in the tropical upper troposphere: Methyl iodide as a tracer of marine convection, J. Geophys. Res., 104, 5717-5724, 1999.
18. Cotton, W. R., Pielke Sr., R. A., Walko, R. L, Liston, G. E., Tremback, C. J., Jiang, H., McAnelly, R. L., Harrington, J. Y., Nicholls, M. E., Carrio, G. G., and McFadden, J. P.: RAMS 2001: Current status and future directions, Meteorol. Atmos. Phys., 82, 5-29, 2003.
19. Deardorff, J. W.: The development of boundary layer turbulence models for use in studying the severe storm, environment, Proceedings of the SESAME Opening Meeting, Boulder, NOAAERL, p. 251-264, 1975.
20. x in an individual thunderstorm, during STERAO-A, J. Geophys. Res., 105, 11601-11616, 2000.
21. x and its impact on tropospheric ozone production: A 3-D modeling study of a STERAO-A thunderstorm, J. Geophys. Res., 110, D14303, doi:10.1029/2004JD005556, 2005.
22. Dye, J. E., Ridley, B. A., Baumann, K., Skamarock, W. C., Barth, M. C., Venticinque, M., Defer, E., Blanchet, P., Thery, C., Laroche, P., Hubler, G., Parrish, D. D., Ryerson, T., Trainer, M., Frost, G., Holloway, J. S., Fehsenfeld, F. C., Tuck, A., Matejka, T., Bartels, D., Rutledge, S. A., Lang, T., Stith, J., and Zerr, R.: An Overview of the STERAO-Deep Convection Experiment with Results for the 10 July Storm, J. Geophys. Res., 105, 10023-10045, 2000.
23. Ekman, A., Wang, C., Ström, J., and Wilson, J.: Explicit simulation of aerosol, physics in a cloud-resolving model: A sensitivity study based on an observed convective cloud, Atmos. Chem. Phys., 4, 773-791, 2004, http://www.atm.os-chem-phys.net/4/773/2004/.
24. Ekman, A., Wang, C., Ström, J., and Krejci, R.: Explicit simulation of aerosol physics in a cloud-resolving model: Aerosol transport and processing in the free troposphere, J. Atmos. Sci.., 63, 682-696, 2006.
25. Fridlind, A. M., Ackerman, A. S., Jensen, E. J., Heymsfield, A. J., Poellot, M. R., Stevens, D. E., Wang, D., Miloshevich, L. M., Baumgardner, D., R. Lawson, P., Wilson, J. C., Flagan, R. C., Seinfeld, J. H., Jonsson, H. H., VanReken, T. M., Varutbangkul, V., and Rissman, T. A.: Evidence for the predominance of midtropospheric aerosols as subtropical anvil cloud nuclei, Science, 304, 718-722, doi:10.1126/science. 1094947, 2004.
26. Fu, Q. and Liou, K. N.: Parameterization of the radiative properties of cirrus clouds, J. Atmos. Sci., 50, 2008-2025, 1993.
27. Grabowski, W. W.: Sixth WMO International Cloud Modeling Workshop, B. Am. Meteor. Soc., 87, 639-642, 2006.
28. Helsdon Jr., J. H. and Farley, R. D.: A numerical modeling study of a Montana thunderstorm, 2, Model results vs. observations involving electrical aspects, J. Geophys. Res., 92, 5661-5675, 1987.
29. Helsdon Jr., J. H., Wu, G., and Farley, R. D.: An intracloud lightning parameterization scheme for a storm electrification model, J. Geophys. Res., 97, 5865-5884, 1992.
30. Helsdon Jr., J. H., Wojcik, W. A., and Farley, R. D.: An examination of thunderstorm charging mechanisms using a two-dimensional storm electrification model, J. Geophys. Res., 106, 1165-1192, 2001.
31. Helsdon Jr., J. H., Gattaleeradapan, S., Farley, R. D., and Waits, C. C.: An examination of the convective charging hypothesis: charge structure, electric fields, and Maxwell currents, J. Geophys. Res., 107(D22), 4630, doi:10.1029/2001JD001495, 2002.
32. Hindmarsh, A. C.: ODEPACK, A systematized collection of ODE solvers, in Scientific Computing, edited by: Stepleman, R. S., IMACS/North Holland Publishing Company, New York, 55-64, 1983.
33. Houze Jr., R. A.: Cloud Dynamics, Academic Press, San Diego, 573 pp, 1993.
34. Jacobson, M. Z.: Computation of global photochemistry with SMVGEAR-II, Atmos. Environ., 29, 2541-2546, 1995.
35. x in the upper troposphere over the United States, Geophys. Res. Lett., 25, 1705-1708, 1998.
36. Jensen E. J., Ackerman, A. S., Stevens, D. E., Toon, O. B., and Minnis, P.: Spreading and growth of contrails in a sheared environment, J. Geophys. Res., 103, 31557-31567, 1998.
37. Kessler, E.: On the distribution and continuity of water substance in atmospheric circulations, Meteorol. Monogr., 10(32), 84 pp., 1969.
38. Klemp, J. B. and Wilhelmson, R. B.: Simulation of 3-dimensional convective storm dynamics, J. Atmos. Sci., 35, 1070-1096, 1978a.
39. Klemp, J. B. and Wilhelmson, R. B.: Simulations of right- and leftmoving storms produced through storm, splitting, J. Atmos. Sci., 35, 1097-1110, 1978b.
40. Lafore, J.-P., Stein, J., Asencio, N., Bougeault, P., Ducrocq, V., Duron, J., Fischer, C., Héreil, P., Mascart, P., Masson, V., Pinty, J.-P., Redelsperger, J.-L., Richard, E., and Vilà-Guerau de Arellano, J.: The Meso-NH Atmospheric Simulation System. Part I: Adiabatic formulation and control simulations, Ann. Geophys., 16, 90-109, 1998, http://www.ann-geophys.net/16/90/ 1998/.
41. Lawrence, M. and Rasch, P. J.: Tracer transport in deep convective updrafts: Plume ensemble versus bulk formulations, J. Atmos. Sci., 62, 2880-2894, 2005.
42. Leriche, M., Cautenet, S., Barth, M., and Chaumerliac, N.: Modelling of the July 10 STERAO storm with the RAMS model: Chemical species redistribution including gas phase and aqueous phase chemistry, in: Air Pollution Modeling and Its Application XVIII, edited by: Borrego, C. and Renner, E., pp. 433-442, Elsevier, Amsterdam, The Netherlands, 2007.
43. Lipps, F. B. and Hemler, R. S.: Numerical simulations of deep tropical, convection associated with, large-scale convergence, J. Atmos. Sci., 43, 1796-1816, 1986.
44. Lin, Y-L, Farley, R. D., and Orville, H. D.: Bulk parameterization of the snow field in a cloud model, J. Clim. Appl. Meteorol., 22, 1065-1092, 1983.
45. MacGorman, D. R. and Rust, W. D.: The Electrical Nature of Storms, Oxford University Press, 422 pp., 1998.
46. Madronich, S.: Photodissociation in the atmosphere: 1. Actinic fluxes and the effects of ground reflections and clouds, J. Geophys. Res., 92, 9740-9752, 1987.
47. Madronich S. and Flocke, S.: The role of solar radiation in atmospheric chemistry, in: Handbook of Environmental Chemistry, edited by: Boule, P., 1-26, Springer, New York, 1999.
48. Meyers, M. P., Walko, R. L., Harrington, J. Y., and Cotton, W. R.: New RAMS cloud microphysics parameterization. Part II: The two moment scheme, Atmos. Res., 45, 3-39, 1997.
49. Ovtchinnikov, M. and Ghan, S. J.: Parallel simulations of aerosol influence on clouds using cloud-resolving and single-column models, J. Geophys. Res., 110, D15S10, doi:10.1029/2004JD005088, 2005.
50. Pickering, K. E., Thompson, A. M., Wang, Y. S., Tao, W. K., McNamara, D. P., Kirchhoff, V. W. J. H., Heikes, B. G., Sachse, G. W., Bradshaw, J. D., Gregory, G. L., and Blake, D. R.: Convective transport of biomass burning emissions over Brazil, during TRACE A, J. Geophys. Res., 101, 23 993-24012, 1996.
51. x for use in regional and global chemical transport models, J. Geophys. Res., 103, 31 203-31212, 1998.
52. Pinty, J.-P. and Jabouilie, P.: A mixed-phase cloud parameterization for use in a mesoscale non-hydrostatic model: Simulations of a squall line and of orographic precipitation, in: Conf. On Cloud Physics, Everett, WA, Amer. Meteorol. Soc., 217-220, 1998.
53. Popp, P. J. Gao, R. S., Marcy, T. P., Fahey, D. W., Hudson, P. K., Thompson, T. L., Kärcher, B., Ridley, B. A., Weinheimer, A. J., Knapp, D. J., Montzka, D. D., Baumgardner, D., Garrett, T. J., Weinstock, E. M., Smith, J. B., Sayres, D. S., Pittman, J. V., Dhaniyala, S., Bui, T. P., and Mahoney, M. J.: Nitric acid uptake on subtropical cirrus cloud particles, J. Geophys. Res., 109, D06302, doi:10.1029/2003JD004255, 2004.
54. Price, C. and Rind, D.: A simple lightning parameterization for calculating global lightning distributions, J. Geophys. Res., 97, 9919-9933, 1992.
55. x from lightning 1. Global distribution based on lightning physics, J. Geophys. Res., 102, 5929-5941, 1997.
56. 3 to 12 km altitude during the summer monsoon season over New Mexico, J. Geophys. Res., 99, 25 519-25 534, 1994.
57. Rutledge, S. A., Hegg, D. A., and Hobbs, P. V.: A numerical model for sulfur and nitrogen scavenging in narrow cold-frontal rainbands, 1, Model description and discussion of microphysical fields, J. Geophys. Res., 91, 14385-14402, 1986.
58. Schwartz, S. E.: Mass-transport considerations pertinent to aqueous phase reactions of gases in liquid-water clouds, in: Chemistry of Multiphase Atmospheric Systems, edited by: Jaeschke, W., Springer-Verlag, New York, 415-471, 1986.
59. Seinfeld, J. H.: Atmospheric Chemistry and Physics of Air Pollution, John Wiley & Sons, New York, 768 pp, 1986.
60. Seifert A. and Weisman, M.: A comparison of bulk microphysical, schemes for cloud resolving NWP, in: Proceedings of the 6th WRF/15th MM5 Users' Workshop, Boulder, Colorado, http://www.mmm.ucar.edu/wrf/users/works.hops/ WS2005/abstracts/Session6/2-Seifert.pdf, 2005.
61. Skamarock, W C., Powers, J., Barth, M. C., Dye, J. E., Matejka, T., Bartels, D., Baumann, K., Stith, J., Parrish, D. D., and Hubler, G.: Numerical simulations of the 10 July STERAO/Deep Convection Experiment convective system.: Kinematics and transport, J. Geophys. Res., 105, 19973-19990, 2000.
62. x in a continental thunderstorm, J. Geophys. Res., 108(D10), 4305, doi10.1029/2002JD002163, 2003.
63. Skamarock, W. C, Klemp, J. B., Dudhia, J., Gill, D., Barker, D., Wang, W., and Powers, J. G.: A description of the Advanced Research WRF Version 2., Technical Note NCAR/TN-468+STR, NCAR, Boulder, Colorado, 2005.
64. Smolarkiewicz, P. K.: A full multidimensional positive definite advection transport algorithm, with small implicit diffusion, J. Comput. Phys., 65, 325-363, 1984.
65. Smolarkiewicz, P. K. and Clark, T. L.: The multidimensional positive definite advection transport algorithm. Further development and applications, J. Comput. Phys., 67, 394-439, 1986.
66. Smolarkiewicz, P. K. and Grabowski, W. W.: The multidimensional positive advection transport algorithm: Nonoscillatory option, J. Comp. Phys., 86, 355-375, 1990.
67. Snow, J. A., Heikes, B. G., Shen, H., O'Sullivan, D. W., Fried, A., and Walega, J.: Hydrogen peroxide, methyl hydroperoxide, and formaldehyde over North America and the North Atlantic, J. Geophys. Res., 112, D12S07, doi:10.1029/2006JD007746, 2007.
68. Soong, S.-T. and Ogura, Y.: Response of trade wind cumuli to largescale processes, J. Atmos. Sci., 37, 2035-2050, 1980.
69. Spiridonov, V. and Curie, M.: A three-dimensional numerical simulation of sulfate transport and redistribution, Can. J. Phys., 81, 1067-1094, 2003.
70. Spiridonov, V. and Curie, M.: The relative importance of scavenging, oxidation, and ice-phase processes in the production and wet deposition of sulfate, J. Atmos. Sci., 62, 2118-2135, 2005.
71. Stenchikov, G., Dickerson, R., Pickering, K., Ellis, W., Doddridge, B., Kondragunta, S., Poulida, O., Scala, J., and Tao, W. K.: Stratosphere- troposphere exchange in a midlatitude mesoscale convective complex. 2. Numerical simulations, J. Geophys. Res., 101, 6837-6851, 1996.
72. Stevens D. E. and Bretherton C. S.: A forward-in-time advection scheme and adaptive multilevel flow solver for nearly incompressible atmospheric flow, J. Comp. Phys., 129, 284-295, 1996.
73. Stickler, A., Fischer, H., Williams, J., de Reus, M., Sander, R., Lawrence, M. G., Crowley, J. N., and Lelieveld, J.: Influence of summertime deep convection on formaldehyde in the middle and upper troposphere over Europe, J. Geophys. Res., Ill, D14308, doi:10.1029/2005JD007001, 2006.
74. Taghavi, M., Cautenet, S., and Foret, G.: Simulation of ozone production in a complex circulation region using nested grids, Atmos. Chem. Phys., 4, 825-838, 2004, http://www.atmos-chem-phys.net/4/825/2004/.
75. Tao, W.-K. and Simpson, J.: Goddard Cumulus Ensemble model. Part I: Model description, TAO, 4, 35-72, 1993.
76. Tao, W.-K., Simpson, J., Baker, D., Braun, S., Chou, M.-D., Ferrier, B., Johnson, D., Khain, A., Lang, S., Lynn, B., Shie, C.-L., Starr, D., Sui, C.-H., Wang, Y., and Wetzel, P.: Microphysics, radiation, and surface processes in the Goddard Cumulus Ensemble (GCE) model, Meteorol. Atmos. Phys., 82, 97-137, 2001.
77. Taylor, G. R.: Sulfate production and deposition in midlatitude continental cumulus clouds. Part II: Chemistry model formulation and sensitivity analysis, J. Atmos. Sci., 46, 1991-2007, 1989.
78. Tost, H., Jockel, P., and Lelieveld, J.: Influence of different convection parameterizations in a GCM, Atmos. Chem.. Phys., 6, 5475-5493, 2006, http://www.atmos-chem-phys.net/6/5475/2006/.
79. Tripoli, G. J. and Cotton, W. R.: The use of ice-liquid water potential temperature as a thermodynamical variable in deep atmospheric models, Mon. Weather Rev., 109, 1094-1102, 1981.
80. Tripoli, G. J. and Cotton, W. R.: The Colorado State University three-dimensional cloud/mesoscale model - 1982, Part II: An ice phase parameterization, J. Rech. Atmos., 16, 295-320, 1982.
81. Wang, C.: A modeling study on the response of tropical deep convection to the increase of CCN concentration. 1. Dynamics and microphysics, J. Geophys. Res., 110, D21211, doi:10.1029/2004JD005720, 2005a.
82. Wang, C: A modeling study on the response of tropical, deep convection to the increase of CCN concentration. 2. Radiation and chemistry, J. Geophys. Res., 110, D22204, doi: 10.1029/2005JD005829, 2005b.
83. Wang, C. and Chang, J.: Three-dimensional numerical model of cloud dynamics, microphysics, and chemistry 1. Concepts and formulation, J. Geophys. Res., 98(D8), 14827-14844, 1993a.
84. Wang, C. and Chang, J.: A three-dimensional numerical model of cloud dynamics, microphysics, and chemistry 3. Redistribution of pollutants, J. Geophys. Res., 98(D9), 16787-16798, 1993b.
85. Wang, C. and Chang, J.: A three-dimensional numerical model of cloud dynamics, microphysics, and chemistry 4. Cloud chemistry and precipitation chemistry, J. Geophys. Res., 98(D9), 16799-16 808, 1993c.
86. Wang, C. and Crutzen, P. J.: Impact of a simulated severe local storm on the redistribution of sulfur dioxide, J. Geophys. Res., 100(D6), 11357-11367, 1995.
87. Wang, C. and Prinn, R.: On the roles of deep convective clouds in tropospheric chemistry, J. Geophys. Res., 105(D17), 22269-22298, 2000.
88. Wang, C., Prinn, R. G., and Sokolov, A.: A global interactive chemistry and climate model: Formulation and testing, J. Geophys. Res., 103(D3), 3399-3418, 1998a.
89. Wang, Y., DeDilva, A. W., Goldenbaum, G. C., and Dickerson, R. R.: Nitric oxide production by simulated lightning: Dependence on current, energy, and pressure, J. Geophys. Res., 103(D15), 19149-19160, doi:10.1029/98JD01356, 1998b.
90. Wicker, L. J. and Skamarock, W. C.: Time-splitting methods for elastic models using forward time schemes, Mon. Weather Rev., 130, 2088-2097, 2002.
91. Xie, S, Xu, K.-M., Cederwall, R. T., Bechtold, P., Genio, A. D. D., Klein, S. A., Cripe, D. G., Ghan, S. J., Gregory, D., Iacobellis, S. F., Krueger, S. K., Lohmann, U., Petch, J. C., Randall, D. A., et al.: Intercomparison and evaluation of cumulus parametrizations under summertime midlatitude continental conditions, Q. J. Roy. Meteor. Soc., 128, 1095-1135, 2002.
92. x using an explicit lightning scheme: 2. Three-dimensional simulation and expanded chemistry. J. Geophys. Res., 108(D18), 4580, doi:10.1029/2002JD003225, 2003.