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Volumn 371, Issue 1991, 2013, Pages

A data-driven multi-cloud model for stochastic parametrization of deep convection

Author keywords

Climate; Conditional Markov Chains; Large Eddy Simulation; Stochastic Cellular Automata; Variability

Indexed keywords

CELLULAR AUTOMATA; DIGITAL STORAGE; LARGE EDDY SIMULATION; MARKOV PROCESSES; NATURAL CONVECTION; STOCHASTIC SYSTEMS; SYSTEMATIC ERRORS;

EID: 84876537495     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2012.0374     Document Type: Article
Times cited : (31)

References (29)
  • 1
    • 33745951199 scopus 로고    scopus 로고
    • Tropical intraseasonal variability in 14 ipcc ar4 climate models. Part i: Convective signals
    • (doi:10.1175/JCLI3735.1)
    • Lin J-L et al. 2006 Tropical intraseasonal variability in 14 IPCC AR4 climate models. Part I: convective signals. J. Clim. 19, 2665-2690. (doi:10.1175/JCLI3735.1)
    • (2006) J. Clim , vol.19 , pp. 2665-2690
    • Lin, J.-L.1
  • 2
    • 0033077602 scopus 로고    scopus 로고
    • Convectively coupled equatorial waves: Analysis of clouds and temperature in the wavenumber-frequency domain
    • doi:10.1175/1520-0469(1999) 056<0374:CCEWAO>2.0.CO;2)
    • Wheeler M, Kiladis GN. 1999 Convectively coupled equatorial waves: analysis of clouds and temperature in the wavenumber-frequency domain. J. Atmos. Sci. 56, 374-399. (doi:10.1175/1520-0469(1999)056<0374:CCEWAO>2.0.CO;2)
    • (1999) J. Atmos. Sci , vol.56 , pp. 374-399
    • Wheeler, M.1    Kiladis, G.N.2
  • 3
    • 23644435616 scopus 로고    scopus 로고
    • Madden-julian oscillation
    • (doi:10.1029/2004RG 000158)
    • Zhang C. 2005 Madden-Julian oscillation. Rev. Geophys. 43, RG2003. (doi:10.1029/2004RG 000158)
    • (2005) Rev. Geophys , vol.43
    • Zhang, C.1
  • 4
    • 0035086606 scopus 로고    scopus 로고
    • A nonlinear dynamical perspective on model error: A proposal for nonlocal stochastic-dynamic parametrization in weather and climate prediction models
    • (doi:10.1002/qj.49712757202)
    • Palmer TN. 2001 A nonlinear dynamical perspective on model error: a proposal for nonlocal stochastic-dynamic parametrization in weather and climate prediction models. Q. J. R. Meteorol. Soc. 127, 279-304. (doi:10.1002/qj. 49712757202)
    • (2001) Q. J. R. Meteorol. Soc , vol.127 , pp. 279-304
    • Palmer, T.N.1
  • 5
    • 31544461628 scopus 로고    scopus 로고
    • A kinetic energy backscatter algorithm for use in ensemble prediction systems
    • (doi:10.1256/qj.04.106)
    • Shutts GJ. 2005 A kinetic energy backscatter algorithm for use in ensemble prediction systems. Q. J. R. Meteorol. Soc. 131, 3079-3102. (doi:10.1256/qj.04.106)
    • (2005) Q. J. R. Meteorol. Soc , vol.131 , pp. 3079-3102
    • Shutts, G.J.1
  • 6
    • 45149100332 scopus 로고    scopus 로고
    • Impact of a quasistochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model
    • (doi101098/rsta20080033)
    • Berner J, Doblas-Reyes FJ, Palmer TN, Shutts G, Weisheimer A. 2008 Impact of a quasistochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model. Phil. Trans. R. Soc. A 366, 2559-2577. (doi:10.1098/rsta.2008.0033)
    • (2008) Phil. Trans. R. Soc. A , vol.366 , pp. 2559-2577
    • Berner, J.1    Doblas-Reyes, F.J.2    Palmer, T.N.3    Shutts, G.4    Weisheimer, A.5
  • 7
    • 77954694843 scopus 로고    scopus 로고
    • A stochastic multicloud model for tropical convection
    • Khouider B, Biello J, Majda AJ. 2010 A stochastic multicloud model for tropical convection. Commun. Math. Sci. 8, 187-216. (http://projecteuclid.org/ euclid.cms/1266935019)
    • (2010) Commun. Math. Sci , vol.8 , pp. 187-216
    • Khouider, B.1    Biello, J.2    Majda, A.J.3
  • 8
    • 84858255137 scopus 로고    scopus 로고
    • Using the stochastic multicloud model to improve tropical convective parameterization: A paradigm example
    • (doi:10.1175/JAS-D-11-0148.1)
    • Frenkel Y, Majda AJ, Khouider B. 2012 Using the stochastic multicloud model to improve tropical convective parameterization: a paradigm example. J. Atmos. Sci. 69, 1080-1105. (doi:10.1175/JAS-D-11-0148.1)
    • (2012) J. Atmos. Sci , vol.69 , pp. 1080-1105
    • Frenkel, Y.1    Majda, A.J.2    Khouider, B.3
  • 10
    • 38849155083 scopus 로고    scopus 로고
    • A stochastic parameterization for deep convection based on equilibrium statistics
    • (doi:10.1175/2007JAS2263.1)
    • Plant RS, Craig GC. 2008 A stochastic parameterization for deep convection based on equilibrium statistics. J. Atmos. Sci. 65, 87-105. (doi:10.1175/2007JAS2263.1)
    • (2008) J. Atmos. Sci , vol.65 , pp. 87-105
    • Plant, R.S.1    Craig, G.C.2
  • 11
    • 33646259476 scopus 로고    scopus 로고
    • A simple multicloud parametrization for convectively coupled tropical waves. I. Linear analysis
    • (doi:10.1175/JAS3677.1)
    • Khouider B, Majda AJ. 2006 A simple multicloud parametrization for convectively coupled tropical waves. I. Linear analysis. J. Atmos. Sci. 63, 1308-1323. (doi:10.1175/JAS3677.1)
    • (2006) J. Atmos. Sci , vol.63 , pp. 1308-1323
    • Khouider, B.1    Majda, A.J.2
  • 12
    • 0002718925 scopus 로고    scopus 로고
    • The large-scale part of tropical mesoscale convective system circulations: A linear vertical spectral band model
    • Mapes BE. 1998 The large-scale part of tropical mesoscale convective system circulations: a linear vertical spectral band model. J. Meteorol. Soc. Japan 76, 29-55. (https://www.jstage.jst.go.jp/article/jmsj1965/76/1/76-1-29/- pdf)
    • (1998) J. Meteorol. Soc. Japan , vol.76 , pp. 29-55
    • Mapes, B.E.1
  • 13
    • 79953193476 scopus 로고    scopus 로고
    • Themjo and convectively coupled waves in a coarse-resolution gcm with a simple multicloud parameterization
    • (doi:10.1175/2010JAS3443.1)
    • Khouider B, St-Cyr A, Majda AJ, Tribbia J. 2011 TheMJO and convectively coupled waves in a coarse-resolution GCM with a simple multicloud parameterization. J. Atmos. Sci. 68, 240-264. (doi:10.1175/2010JAS3443.1)
    • (2011) J. Atmos. Sci , vol.68 , pp. 240-264
    • Khouider, B.1    St-Cyr, A.2    Majda, A.J.3    Tribbia, J.4
  • 14
    • 51749115945 scopus 로고    scopus 로고
    • Subgrid-scale parametrization with conditional markov chains
    • (doi:10.1175/2008JAS2566.1)
    • Crommelin D, Vanden-Eijnden E. 2008 Subgrid-scale parametrization with conditional Markov chains. J. Atmos. Sci. 65, 2661-2675. (doi:10.1175/ 2008JAS2566.1)
    • (2008) J. Atmos. Sci , vol.65 , pp. 2661-2675
    • Crommelin, D.1    Vanden-Eijnden, E.2
  • 15
    • 84873405011 scopus 로고    scopus 로고
    • Stochastic parameterization of shallow cumulus convection estimated from high-resolution model data
    • (doi:101007/s00162-133-148 (doi:101007/s00012
    • Dorrestijn J, Crommelin DT, Siebesma AP, Jonker HJJ. 2012 Stochastic parameterization of shallow cumulus convection estimated from high-resolution model data. Theor. Comput. Fluid Dyn. 27, 133-148. (doi:10.1007/s00162-012-0281- y)
    • (2012) Theor. Comput. Fluid Dyn , vol.27 , pp. 133-148
    • Dorrestijn, J.1    Crommelin, D.T.2    Siebesma, A.P.3    Jonker, H.J.J.4
  • 16
    • 69849083375 scopus 로고    scopus 로고
    • What controls the transition from shallow to deep convection?
    • (doi:10.1175/2008JAS2945.1)
    • Wu C-M, Stevens B, Arakawa A. 2009 What controls the transition from shallow to deep convection? J. Atmos. Sci. 66, 1793-1806. (doi:10.1175/ 2008JAS2945.1)
    • (2009) J. Atmos. Sci , vol.66 , pp. 1793-1806
    • Wu, C.-M.1    Stevens, B.2    Arakawa, A.3
  • 17
    • 79954567650 scopus 로고    scopus 로고
    • Formulation of the dutch atmospheric large-eddy simulation (dales) and overview of its applications
    • (doi:105194/gmd-415-444 (doi:105194/gm3
    • Heus T et al. 2010 Formulation of the Dutch atmospheric large-eddy simulation (DALES) and overview of its applications. Geosci. Model Dev. 3, 415-444. (doi:10.5194/gmd-3-415-2010)
    • (2010) Geosci. Model Dev , vol.3 , pp. 415-444
    • Heus, T.1
  • 18
    • 84867951271 scopus 로고    scopus 로고
    • Influence of the subcloud layer on the development of a deep convective ensemble
    • (doi:10.1175/JAS-D-11-0317.1)
    • Böing SJ, Jonker HJJ, Siebesma AP, Grabowski W. 2012 Influence of the subcloud layer on the development of a deep convective ensemble. J. Atmos. Sci. 69, 2682-2698. (doi:10.1175/JAS-D-11-0317.1)
    • (2012) J. Atmos. Sci , vol.69 , pp. 2682-2698
    • Böing, S.J.1    Jonker, H.J.J.2    Siebesma, A.P.3    Grabowski, W.4
  • 19
    • 33749827492 scopus 로고    scopus 로고
    • The mesoscale convection life cycle: Building block or prototype for large-scale tropical waves?
    • (doi:10.1016/j.dynatmoce.2006.03.003)
    • Mapes B, Tulich S, Lin J, Zuidema P. 2006 The mesoscale convection life cycle: building block or prototype for large-scale tropical waves? Dyn. Atmos. Oceans 42, 3-29. (doi:10.1016/j.dynatmoce.2006.03.003)
    • (2006) Dyn. Atmos. Oceans , vol.42 , pp. 3-29
    • Mapes, B.1    Tulich, S.2    Lin, J.3    Zuidema, P.4
  • 20
    • 0142027827 scopus 로고    scopus 로고
    • Coarse grained stochastic models for tropical convection
    • (doi:10.1073/pnas.1634951100)
    • Khouider B, Majda AJ, Katsoulakis M. 2003 Coarse grained stochastic models for tropical convection. Proc. Natl Acad. Sci. USA 100, 11941-1194. (doi:10.1073/pnas.1634951100)
    • (2003) Proc. Natl Acad. Sci. USA , vol.100 , pp. 11941-11194
    • Khouider, B.1    Majda, A.J.2    Katsoulakis, M.3
  • 21
    • 0035390576 scopus 로고    scopus 로고
    • Organization of tropical convection in low vertical wind shears: The role of cold pools
    • (doi:10.1175/1520-0469(2001)058<1650: OOTCIL>2.0.CO;2)
    • Tompkins AM. 2001 Organization of tropical convection in low vertical wind shears: the role of cold pools. J. Atmos. Sci. 58, 1650-1672. (doi:10.1175/1520-0469(2001)058<1650: OOTCIL>2.0.CO;2)
    • (2001) J. Atmos. Sci , vol.58 , pp. 1650-1672
    • Tompkins, A.M.1
  • 22
    • 67349187387 scopus 로고    scopus 로고
    • Global climatology of convective available potential energy (cape) and convective inhibition (cin) in era-40 reanalysis
    • (doi101016/jatmosres200809.037)
    • Riemann-Campe K, Fraedrich K, Lunkeit F. 2009 Global climatology of convective available potential energy (CAPE) and convective inhibition (CIN) in ERA-40 reanalysis. Atmos. Res. 93, 534-545. (doi:10.1016/j.atmosres.2008.09.037)
    • (2009) Atmos. Res , vol.93 , pp. 534-545
    • Riemann-Campe, K.1    Fraedrich, K.2    Lunkeit, F.3
  • 23
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Berkeley, CA, 21 June-18 July 1965 and 27 December 1965-7 January 1966, Berkeley, CA: University of California Press
    • MacQueen JB. 1967 Some methods for classification and analysis of multivariate observations. In Proc. 5th Berkeley Symp. on Mathematical Statistics and Probability, Berkeley, CA, 21 June-18 July 1965 and 27 December 1965-7 January 1966, vol. 1, pp. 281-297. Berkeley, CA: University of California Press. (http://projecteuclid.org/euclid.bsmsp/1200512992).
    • (1967) Proc. 5th Berkeley Symp. on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.B.1
  • 24
    • 41949141213 scopus 로고    scopus 로고
    • Data clustering: Theory, algorithms, and applications
    • Alexandria, VA: American Statistical Association; and Philadelphia, PA: Society for Industrial and Applied Mathematics
    • Gan G, Ma C, Wu J. 2007 Data clustering: theory, algorithms, and applications. ASA-SIAM Series on Statistics and Applied Probability. Alexandria, VA: American Statistical Association; and Philadelphia, PA: Society for Industrial and Applied Mathematics.
    • (2007) ASA-SIAM Series on Statistics and Applied Probability
    • Gan, G.1    Ma, C.2    Wu, J.3
  • 25
    • 84969135721 scopus 로고    scopus 로고
    • K-means++: The advantages of careful seeding
    • New Orleans, LA, 7-9 January 2007, Philadelphia, PA: Society for Industrial and Applied Mathematics
    • Arthur D, Vassilvitskii S. 2007 K-means++: the advantages of careful seeding. In Proc. 18th Annu. ACM-SIAM Symp. on Discrete Algorithms (SODA'07), New Orleans, LA, 7-9 January 2007, pp. 1027-1035. Philadelphia, PA: Society for Industrial and Applied Mathematics.
    • (2007) Proc. 18th Annu. ACM-SIAM Symp. on Discrete Algorithms (SODA'07) , pp. 1027-1035
    • Arthur, D.1    Vassilvitskii, S.2
  • 26
    • 84857257021 scopus 로고    scopus 로고
    • Data-based stochastic subgrid-scale parametrization: An approach using cluster-weighted modelling
    • (doi:10.1098/rsta.2011.0384)
    • Kwasniok F. 2012 Data-based stochastic subgrid-scale parametrization: an approach using cluster-weighted modelling. Phil. Trans. R. Soc. A 370, 1061-1086. (doi:10.1098/rsta.2011.0384)
    • (2012) Phil. Trans. R. Soc. A , vol.370 , pp. 1061-1086
    • Kwasniok, F.1
  • 28
    • 4243311434 scopus 로고
    • Learning algorithm for modeling complex spatial dynamics
    • (doi:10.1103/PhysRevLett.63.1735)
    • Meyer TP, Richards FC, Packard NH. 1989 Learning algorithm for modeling complex spatial dynamics. Phys. Rev. Lett. 63, 1735-1738. (doi:10.1103/ PhysRevLett.63.1735)
    • (1989) Phys. Rev. Lett , vol.63 , pp. 1735-1738
    • Meyer, T.P.1    Richards, F.C.2    Packard, N.H.3
  • 29
    • 84855838601 scopus 로고    scopus 로고
    • Large-scale dynamical response to subgrid-scale organization provided by cellular automata
    • (doi:10.1175/JAS-D-10-05028.1)
    • Bengtsson L, Körnich H, Källén E, Svensson E. 2011 Large-scale dynamical response to subgrid-scale organization provided by cellular automata. J. Atmos. Sci. 68, 3132-3144. (doi:10.1175/JAS-D-10-05028.1)
    • (2011) J. Atmos. Sci , vol.68 , pp. 3132-3144
    • Bengtsson, L.1    Körnich, H.2    Källén, E.3    Svensson, E.4


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