Influence of Superparameterization and a Higher-Order Turbulence Closure on Rainfall Bias Over Amazonia in Community Atmosphere Model Version 5

Journal of Geophysical Research: Atmospheres

Volumn 122, Issue 18, 2017, Pages 9879-9902

  Zhang, Kai ^a   Fu, Rong ^a,b   Shaikh, Muhammad J ^a   Ghan, Steven ^c   Wang, Minghuai ^d   Leung, L Ruby ^c   Dickinson, Robert E ^a   Marengo, Jose ^e  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^d NANJING UNIVERSITY   (China)

^e Collaborative Innovation Center of Climate Change ^*  (Brazil)

Author keywords

Amazon; convective and cloud parameterizations; rainfall; superparameterization

Indexed keywords

AEROSOL; ATMOSPHERIC CONVECTION; ATMOSPHERIC MODELING; CLOUD MICROPHYSICS; CONVECTIVE CLOUD; PARAMETERIZATION; PRECIPITATION ASSESSMENT; RAINFALL; RELATIVE HUMIDITY; TROPOSPHERE; TURBULENCE;

AMAZONIA;

EID: 85030232005     PISSN: 2169897X     EISSN: 21698996     Source Type: Journal    
DOI: 10.1002/2017JD026576     Document Type: Article

References (70)

1. Ackerman, A. S., Kirkpatrick, M. P., Stevens, D. E., & Toon, O. B. (2004). The impact of humidity above stratiform clouds on indirect aerosol climate forcing. Nature, 432(7020), 1014–1017.
2. Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., … Bolvin, D. (2003). The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). Journal of Hydrometeorology, 4(6), 1147–1167.
3. Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A., Frank, G., Longo, K., & Silva-Dias, M. (2004). Smoking rain clouds over the Amazon. Science, 303(5662), 1337–1342.
4. Arakawa, A., & Konor, C. S. (2009). Unification of the anelastic and quasi-hydrostatic systems of equations. Monthly Weather Review, 137(2), 710–726.
5. Arakawa, A., & Wu, C.-M. (2013). A unified representation of deep moist convection in numerical modeling of the atmosphere. Part I. Journal of Atmospheric Science, 70(7), 1977–1992.
6. Arakawa, A., Jung, J.-H., & Wu, C.-M. (2011). Toward unification of the multiscale modeling of the atmosphere. Atmos. Chem. Phys., 11(8), 3731–3742.
7. Benedict, J. J., & Randall, D. A. (2009). Structure of the Madden–Julian oscillation in the superparameterized CAM. Journal of Atmospheric Science, 66(11), 3277–3296.
8. Bogenschutz, P. A., Gettelman, A., Morrison, H., Larson, V. E., Craig, C., & Schanen, D. P. (2013). Higher-order turbulence closure and its impact on climate simulations in the Community Atmosphere Model. Journal of Climatology, 26(23), 9655–9676.
9. Bretherton, C. S., & Park, S. (2009). A new moist turbulence parameterization in the Community Atmosphere Model. Journal of Climatology, 22(12), 3422–3448.
10. Chakraborty, S., Fu, R., Massie, S. T., & Stephens, G. (2016). Relative influence of meteorological conditions and aerosols on the lifetime of mesoscale convective systems. Proceedings of the National Academy of Sciences, 201601935
11. Collins, W. D., Rasch, P. J., Boville, B. A., Hack, J. J., McCaa, J. R., Williamson, D. L., … Lin, S. (2004). Description of the NCAR Community Atmosphere Model (CAM 3.0) (NCAR Tech. Note NCAR/TN-464+ STR, 226).
12. Cox, P. M., Betts, R., Collins, M., Harris, P., Huntingford, C., & Jones, C. (2004). Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Theoretical and Applied Climatology, 78(1–3), 137–156.
13. Dai, A., Giorgi, F., & Trenberth, K. E. (1999). Observed and model-simulated diurnal cycles of precipitation over the contiguous United States. Journal of Geophysical Research, 104(D6), 6377–6402.
14. Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., … Bauer, P. (2011). The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553–597.
15. DeMott, C. A., Stan, C., Randall, D. A., Kinter, J. L. III, & Khairoutdinov, M. (2011). The Asian monsoon in the superparameterized CCSM and its relationship to tropical wave activity. Journal of Climatology, 24(19), 5134–5156.
16. Derbyshire, S., Beau, I., Bechtold, P., Grandpeix, J. Y., Piriou, J. M., Redelsperger, J. L., & Soares, P. (2004). Sensitivity of moist convection to environmental humidity. Quarterly Journal of the Royal Meteorological Society, 130(604), 3055–3079.
17. Field, C. B., Behrenfeld, M. J., Randerson, J. T., & Falkowski, P. (1998). Primary production of the biosphere: Integrating terrestrial and oceanic components. Science, 281(5374), 237–240.
18. Friedlingstein, P., Cox, P., Betts, R., Bopp, L., Von Bloh, W., Brovkin, V., … Fung, I. (2006). Climate-carbon cycle feedback analysis: Results from the C4MIP model intercomparison. Journal of Climatology, 19(14), 3337–3353.
19. 2 emissions and implications for reaching climate targets. Nature Genetics, 7(10), 709–715.
20. Fu, R., Yin, L., Li, W., Arias, P. A., Dickinson, R. E., Huang, L., … Fisher, R. (2013). Increased dry-season length over southern Amazonia in recent decades and its implication for future climate projection. Proceedings of the National Academy of Sciences, 110(45), 18110–18115.
21. Gent, P. R., Danabasoglu, G., Donner, L. J., Holland, M. M., Hunke, E. C., Jayne, S. R., … Vertenstein, M. (2011). The community climate system model version 4. Journal of Climatology, 24(19), 4973–4991.
22. Gettelman, A., Morrison, H., & Ghan, S. J. (2008). A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part II: Single-column and global results. Journal of Climatology, 21(15), 3660–3679.
23. Golaz, J.-C., Larson, V. E., & Cotton, W. R. (2002). A PDF-based model for boundary layer clouds. Part I: Method and model description. Journal of Atmospheric Science, 59(24), 3540–3551.
24. Grabowski, W. W. (2001). Coupling cloud processes with the large-scale dynamics using the cloud-resolving convection parameterization (CRCP). Journal of Atmospheric Science, 58, 978–997.
25. Grabowski, W. W., & Moncrieff, M. (2004). Moisture–convection feedback in the tropics. Quarterly Journal of the Royal Meteorological Society, 130(604), 3081–3104.
26. Gustafson, W. I. Jr., Berg, L. K., Easter, R. C., & Ghan, S. J. (2008). The explicit-cloud parameterized-pollutant hybrid approach for aerosol–cloud interactions in multiscale modeling framework models: Tracer transport results. Environmental Research Letters, 3(2), 025005.
27. Holloway, C. E., & Neelin, J. D. (2009). Moisture vertical structure, column water vapor, and tropical deep convection. Journal of Atmospheric Science, 66(6), 1665–1683.
28. Khairoutdinov, M. F., & Randall, D. A. (2001). A cloud resolving model as a cloud parameterization in the NCAR Community Climate System Model: Preliminary results. Geophysical Research Letters, 28(18), 3617–3620.
29. Khairoutdinov, M. F., & Randall, D. A. (2003). Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities. Journal of Atmospheric Science, 60(4), 607–625.
30. Khairoutdinov, M., Randall, D., & DeMott, C. (2005). Simulations of the atmospheric general circulation using a cloud-resolving model as a superparameterization of physical processes. Journal of Atmospheric Science, 62(7), 2136–2154.
31. Khairoutdinov, M., DeMott, C., & Randall, D. (2008). Evaluation of the simulated interannual and subseasonal variability in an AMIP-style simulation using the CSU multiscale modeling framework. Journal of Climatology, 21(3), 413–431.
32. Kooperman, G. J., Pritchard, M. S., & Somerville, R. C. (2013). Robustness and sensitivities of central US summer convection in the super-parameterized CAM: Multi-model intercomparison with a new regional EOF index. Geophysical Research Letters, 40, 3287–3291. https://doi.org/10.1002/grl.50597
33. Kooperman, G. J., Pritchard, M. S., Burt, M. A., Branson, M. D., & Randall, D. A. (2016). Impacts of cloud superparameterization on projected daily rainfall intensity climate changes in multiple versions of the Community Earth System Model. Journal of Advances in Modeling Earth Systems, 8, 1727–1750.
34. Koren, I., Kaufman, Y. J., Remer, L. A., & Martins, J. V. (2004). Measurement of the effect of Amazon smoke on inhibition of cloud formation. Science, 303(5662), 1342–1345.
35. Koren, I., Martins, J. V., Remer, L. A., & Afargan, H. (2008). Smoke invigoration versus inhibition of clouds over the Amazon. Science, 321(5891), 946–949.
36. Krishnamurthy, V., & Stan, C. (2015). Simulation of the South American climate by a coupled model with super-parameterized convection. Climate Dynamics, 44(9–10), 2369–2382.
37. Kummerow, C., Simpson, J., Thiele, O., Barnes, W., Chang, A., Stocker, E., … Wentz, F. (2000). The status of the Tropical Rainfall Measuring Mission (TRMM) after two years in orbit. Journal of Applied Meteorology, 39(12), 1965–1982.
38. Larson, V. E., & Golaz, J.-C. (2005). Using probability density functions to derive consistent closure relationships among higher-order moments. Monthly Weather Review, 133(4), 1023–1042.
39. Larson, V. E., Schanen, D. P., Wang, M., Ovchinnikov, M., & Ghan, S. (2012). PDF parameterization of boundary layer clouds in models with horizontal grid spacings from 2 to 16 km. Monthly Weather Review, 140(1), 285–306.
40. Li, C., Jia, X., Ling, J., Zhou, W., & Zhang, C. (2009). Sensitivity of MJO simulations to diabatic heating profiles. Climate Dynamics, 32(2–3), 167–187.
41. Li, W., Fu, R., & Dickinson, R. E. (2006). Rainfall and its seasonality over the Amazon in the 21st century as assessed by the coupled models for the IPCC AR4. Journal of Geophysical Research, 111, D02111. https://doi.org/10.1029/2005JD006355
42. Lim, K. S. S., Fan, J., Leung, L. R., Ma, P. L., Singh, B., Zhao, C., … Song, X. (2014). Investigation of aerosol indirect effects using a cumulus microphysics parameterization in a regional climate model. Journal of Geophysical Research: Atmospheres, 119, 906–926. https://doi.org/10.1002/2013JD020958
43. Lin, J. C., Matsui, T., Pielke, R., & Kummerow, C. (2006). Effects of biomass-burning-derived aerosols on precipitation and clouds in the Amazon Basin: A satellite-based empirical study. Journal of Geophysical Research, 111, D19204. https://doi.org/10.1029/2005JD006884
44. Ling, J., & Zhang, C. (2013). Diabatic heating profiles in recent global reanalyses. Journal of Climatology, 26(10), 3307–3325.
45. Liu, X., Easter, R. C., Ghan, S. J., Zaveri, R., Rasch, P., Shi, X., … Vitt, F. (2012). Toward a minimal representation of aerosols in climate models: Description and evaluation in the Community Atmosphere Model CAM5. Geoscientific Model Development, 5(3), 709.
46. Martin, S., Artaxo, P., Machado, L., Manzi, A., Souza, R., Schumacher, C., … Calheiros, A. (2016). The Green Ocean Amazon experiment (GoAmazon2014/5) observes pollution affecting gases, aerosols, clouds, and rainfall over the rain forest. Bulletin of the American Meteorological Society, 98(5), 981–997.
47. McCrary, R. R., Randall, D. A., & Stan, C. (2014). Simulations of the West African monsoon with a superparameterized climate model. Part II: African easterly waves. Journal of Climatology, 27(22), 8323–8341.
48. Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., & Clough, S. A. (1997). Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. Journal of Geophysical Research, 102(D14), 16663–16682.
49. Morrison, H., & Gettelman, A. (2008). A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests. Journal of Climatology, 21(15), 3642–3659.
50. Neale, R. B., Richter, J. H., & Jochum, M. (2008). The impact of convection on ENSO: From a delayed oscillator to a series of events. Journal of Climatology, 21(22), 5904–5924.
51. Neale, R. B., Chen, C.-C., Gettelman, A., Lauritzen, P. H., Park, S., Williamson, D. L., … Lamarque, J.-F. (2010). Description of the NCAR Community Atmosphere Model (CAM 5.0) (NCAR Tech. Note NCAR/TN-486+ STR).
52. Park, S., & Bretherton, C. S. (2009). The University of Washington shallow convection and moist turbulence schemes and their impact on climate simulations with the Community Atmosphere Model. Journal of Climatology, 22(12), 3449–3469.
53. Park, S., Bretherton, C. S., & Rasch, P. J. (2014). Integrating cloud processes in the Community Atmosphere Model, version 5. Journal of Climatology, 27(18), 6821–6856.
54. Pritchard, M. S., Moncrieff, M. W., & Somerville, R. C. (2011). Orogenic propagating precipitation systems over the United States in a global climate model with embedded explicit convection. Journal of Atmospheric Science, 68(8), 1821–1840.
55. Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., … Kim, G.-K. (2011). MERRA: NASA's Modern-Era Retrospective Analysis for Research and Applications. Journal of Climatology, 24(14), 3624–3648.
56. Sato, T., Miura, H., Satoh, M., Takayabu, Y. N., & Wang, Y. (2009). Diurnal cycle of precipitation in the tropics simulated in a global cloud-resolving model. Journal of Climatology, 22(18), 4809–4826.
57. Song, X., Zhang, G. J., & Li, J.-L. (2012). Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Model CAM5. Journal of Climatology, 25(24), 8568–8590.
58. Tao, W.-K., Chern, J.-D., Atlas, R., Randall, D., Khairoutdinov, M., Li, J.-L., … Peters-Lidard, C. (2009). A multiscale modeling system: Developments, applications, and critical issues. Bulletin of the American Meteorological Society, 90(4), 515.
59. Vera, C., Silvestri, G., Liebmann, B., & González, P. (2006). Climate change scenarios for seasonal precipitation in South America from IPCC-AR4 models. Geophysical Research Letters, 33, L13707. https://doi.org/10.1029/2006GL025759
60. Waite, M. L., & Khouider, B. (2010). The deepening of tropical convection by congestus preconditioning. Journal of Atmospheric Science, 67(8), 2601–2615.
61. Wang, H., & Fu, R. (2002). Cross-equatorial flow and seasonal cycle of precipitation over South America. Journal of Climatology, 15, 1591–1608.
62. Wang, M., Ghan, S., Easter, R., Ovchinnikov, M., Liu, X., Kassianov, E., … Schanen, D. (2011a). The multi-scale aerosol-climate model PNNL-MMF: Model description and evaluations. Geoscientific Model Development, 4, 137–168.
63. Wang, M., Ghan, S., Ovchinnikov, M., Liu, X., Easter, R., Kassianov, E., … Morrison, H. (2011b). Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF. Atmos. Chem. Phys., 11(11), 5431.
64. Wang, M., Larson, V. E., Ghan, S., Ovchinnikov, M., Schanen, D. P., Xiao, H., … Guo, Z. (2015). A multiscale modeling framework model (superparameterized CAM5) with a higher-order turbulence closure: Model description and low-cloud simulations. Journal of Advances in Modeling Earth Systems., 7(2), 484–509.
65. Warner, T. T., Mapes, B. E., & Xu, M. (2003). Diurnal patterns of rainfall in northwestern South America. Part II: Model simulations. Monthly Weather Review, 131(5), 813–829.
66. Wendisch, M., Pöschl, U., Andreae, M. O., Machado, L. A., Albrecht, R., Schlager, H., … Afchine, A. (2016). ACRIDICON–CHUVA campaign: Studying tropical deep convective clouds and precipitation over Amazonia using the new German research aircraft HALO. Bulletin of the American Meteorological Society, 97(10), 1885–1908.
67. Yin, L., Fu, R., Shevliakova, E., & Dickinson, R. E. (2013). How well can CMIP5 simulate precipitation and its controlling processes over tropical South America? Climate Dynamics, 41(11–12), 3127–3143.
68. Zhang, G. J., & McFarlane, N. A. (1995). Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre general circulation model. Atmos. Ocean, 33(3), 407–446.
69. Zhang, K., Randel, W. J., & Fu, R. (2016). Relationships between outgoing longwave radiation and diabatic heating in reanalyses. Climate Dynamics, 1–19, 2911–2929. https://doi.org/10.1007/s00382-016-3501-0
70. Zhuang, Y., Fu, R., Marengo, J., & Wang, H. (2017). Seasonal variation of shallow-to-deep convection transition and its link to the environmental conditions over the Central Amazon. Journal of Geophysical Research: Atmospheres, 122, 2649–2666. https://doi.org/10.1002/2016JD025993