A GCM with cloud microphysics and its MJO simulation
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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
Benedict JJ, Randall DA (2009) Structure of the Madden–Julian oscillation in the superparameterized CAM. J Atmos Sci 66(11):3277–3296
Bonan GB (1996) Land surface model (LSM version 1.0) for ecological, hydrological, and atmospheric studies: technical description and user’s guide, NCAR Technical Note NCAR/TN-417+STR, p 1–159
Bryan GH, Morrison H (2012) Sensitivity of a simulated squall line to horizontal resolution and parameterization of microphysics. Mon Weather Rev 140(1):202–225
Bryan GH, Wyngaard JC, Fritsch JM (2003) Resolution requirements for the simulation of deep moist convection. Mon Weather Rev 131(10):2394–2416
DeMott CA, Randall DA, Khairoutdinov M (2007) Convective precipitation variability as a tool for general circulation model analysis. J Clim 20(1):91–112
Frierson DMW, Kim D, Kang I-S, Lee M-I, Lin J (2011) Structure of AGCM-simulated convectively coupled Kelvin waves and sensitivity to convective parameterization. J Atmos Sci 68:26–45
Grabowski WW, Wu X, Moncrieff MW, Hall WD (1998) Cloud-resolving modeling of cloud systems during phase III of GATE. Part II: effects of resolution and the third spatial dimension. J Atmos Sci 55(21):3264–3282
Holloway CE, Woolnough SJ, Lister GMS (2012) Precipitation distributions for explicit versus parametrized convection in a large-domain high-resolution tropical case study. Q J R Meteor Soc 138:1692–1708
Holloway CE, Woolnough SJ, Lister GMS (2013) The effects of explicit versus parameterized convection on the MJO in a large-domain high-resolution tropical case study. Part I: characterization of large-scale organization and propagation*. J Atmos Sci 70:1342–1369
Holloway CE, Woolnough SJ, Lister GMS (2015) The effects of explicit versus parameterized convection on the MJO in a large-domain high resolution tropical case study. Part II: processes leading to differences in MJO development. J Atmos Sci 72:2719–2743
Holtslag A, Boville B (1993) Local versus nonlocal boundary-layer diffusion in a global climate model. J Clim 6(10):1825–1842
Hung M-P, Lin J-L, Wang W, Kim D, Shinoda T, Weaver SJ (2013) MJO and convectively coupled equatorial waves simulated by CMIP5 climate models. J Clim 26:6185–6214
Iorio J, Duffy P, Govindasamy B, Thompson S, Khairoutdinov M, Randall D (2004) Effects of model resolution and subgrid-scale physics on the simulation of precipitation in the continental United States. Clim Dyn 23(3–4):243–258
Jung J-H, Arakawa A (2004) The resolution dependence of model physics: illustrations from nonhydrostatic model experiments. J Atmos Sci 61(1):88–102
Kang I-S, Liu F, Ahn M-S, Yang Y-M, Wang B (2013) Role of SST structure on convectively coupled Kelvin–Rossby waves and its implication on MJO formation. J Clim 26:5915–5930
Kang I-S, Yang Y-M, Tao W-K (2015) GCMs with implicit and explicit representation of cloud microphysics for simulation of extreme precipitation frequency. Clim Dyn 45:325–335
Kiladis GN, Straub KH, Haertel PT (2005) Zonal and vertical structure of the Madden–Julian oscillation. J Atmos Sci 62:2790–2809
Kim D, Kang I-S (2012) A bulk mass flux convection scheme for climate model: description and moisture sensitivity. Clim Dyn 38:411–429
Kim D et al (2014) Process-oriented MJO simulation diagnostic: moisture sensitivity of simulated convection. J Clim 27:5379–5395
Kodama C, Yamada Y, Noda AT, Kikuchi K, Kajikawa Y, Nasuno T, Tomita T, Yamaura T, Takahashi HG, Hara M, Kawatani Y, Satoh M, Sugi M (2015) A 20-year climatology of a NICAM AMIP-type simulation. J Meteor Soc Japan 93:393–424
Le Trent H, Li Z-X (1991) Sensitivity of an atmospheric general circulation model to prescribed SST changes: feedback effects associated with the simulation of cloud optical properties. Clim Dyn 5(3):175–187
Lee MI, Kang IS, Kim JK, Mapes BE (2001) Influence of cloud-radiation interaction on simulating tropical intraseasonal oscillation with an atmospheric general circulation model. J Geophys Res 106(14):219–233
Lee M-I, Suarez MJ, Kang I-S, Held IM, Kim D (2008) A moist benchmark calculation for the atmospheric general circulation models. J Clim 21:4934–4954
Lin S-J (2004) A “vertically Lagrangian” finite-volume dynamical core for global models. Mon Weather Rev 132(10):2293–2307
Lin Y-L, Farley RD, Orville HD (1983) Bulk parameterization of the snow field in a cloud model. J Clim Appl Meteorol 22(6):1065–1092
Lin Jia-Lin, Kiladis George N, Mapes Brian E, Weickmann Klaus M, Sperber Kenneth R, Lin Wuyin, Wheeler Matthew C, Schubert Siegfried D, Del Genio Anthony, Donner Leo J, Emori Seita, Gueremy Jean-Francois, Hourdin Frederic, Rasch Philip J, Roeckner Erich, Scinocca John F (2006) Tropical intraseasonal variability in 14 IPCC AR4 climate models. Part I: convective signals. J Clim 19:2665–2690
Martin ER, Schumacher C (2012) The relationship between tropical warm pool precipitation, sea surface temperature, and large-scale vertical motion in IPCC AR4 models. J Atmos Sci 69(1):185–194
Miura H, Satoh M, Nasuno T, Noda AT, Oouchi K (2007) A Madden–Julian oscillation event realistically simulated by a global cloud-resolving model. Science 318(5857):1763–1765
Miyakawa T, Satoh M, Miura H, Tomita H, Yashiro H, Noda AT, Yamada Y, Kodama C, Kimoto M, Yoneyama K (2014) Madden–Julian oscillation prediction skill of a new-generation global model. Nat Commun 5:3769
Moncrieff MW, Klinker E (1997) Organized convective systems in the tropical western Pacific as a process in general circulation models. Q J R Meteorol Soc 123:805–828
Nakajima T, Tsukamoto M, Tsushima Y, Numaguti A (1995) Modelling of the radiative processes in an AGCM. Clim Syst Dyn Model 3:104–123
Oouchi K, Noda AT, Satoh M, Miura H, Tomita H, Nasuno T, Iga S (2009) A simulated preconditioning of typhoon genesis controlled by a boreal summer Madden–Julian oscillation event in a global cloud-system-resolving model. SOLA 5:65–68
Pauluis O, Garner S (2006) Sensitivity of radiative-convective equilibrium simulations to horizontal resolution. J Atmos Sci 63(7):1910–1923
Rutledge SA, Hobbs PV (1983) The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones VIII: a model for the “seeder-feeder” process in warm-frontal rainbands. J Atmos Sci 40:1185–1206
Rutledge SA, Hobbs PV (1984) The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones XII: a diagnostic modeling study of precipitation development in narrow cold frontal rainbands. J Atmos Sci 41:2949–2972
Satoh M, Tomita H, Miura H, Iga S, Nasuno T (2005) Development of a global cloud resolving model—a multi-scale structure of tropical convections. J. Earth Simulator 3:11–19
Sperber KR (2003) Propagation and the vertical structure of the Madden–Julian oscillation. Mon Weather Rev 131:3018–3037
Takasuka D, Miyakawa T, Satoh M, Miura H (2015) Topographical effects on the internally produced MJO-like disturbances in an aqua-planet version of NICAM. SOLA 11:170–176
Tao W-K, Simpson J, Baker D, Braun S, Chou M-D, Ferrier B, Johnson D, Khain A, Lang S, Lynn B (2003) Microphysics, radiation and surface processes in the Goddard Cumulus Ensemble (GCE) model. Meteorol Atmos Phys 82(1):97–137
Tiedtke M (1984) Sensitivity of the time-mean large-scale flow to cumulus convection in the ECMWF model. Workshop on convection in large-scale numerical models, ECMWF, 28 November–1 December 1983, pp 297–316
Wang B, Ding Q, Fu X, Kang I-S, Jin K, Shukla J, Doblas-Reyes F (2005) Fundamental challenge in simulation and prediction of summer monsoon rainfall. Geophys Res Lett 32:L15711. doi: 10.1029/2005GL022734
Weisman ML, Skamarock WC, Klemp JB (1997) The resolution dependence of explicitly modeled convective systems. Mon Weather Rev 125(4):527–548
Yoshizaki M, Iga S, Satoh M (2012) Eastward propagating property of large-scale precipitation systems simulated in the coarse-resolution NICAM and an explanation of its formation. SOLA 8:21–24