The Stochastic Multi-cloud Model (SMCM) ConvectiveParameterizationin the CFSv2: Scopes and Opportunities

  • B. B. GoswamiEmail author
  • B. Khouider
  • R. Phani
  • Parthasarathi Mukhopadhyay
  • A. J. Majda
Part of the Springer Atmospheric Sciences book series (SPRINGERATMO)


A stochastic multi-cloud model (SMCM) convective parameterization is incorporated in the National Centers for Environmental Predictions’ Climate Forecast System version 2 (CFSV2). The resulting model is referred to here as CFSsmcm. Two 15-year-long climate simulations of the CFSsmcm, differing only by one SMCM parameter, namely, the mid-tropospheric dryness parameter, MTD0 are analyzed and interpreted here. This particular parameter is chosen because not only it plays a crucial role in the SMCM formulation, but also is observed to be critical for triggering tropical convection. In one case, we have used a single homogeneous MTD0 value for the entire globe and in the other run two different MTD0 values are used for land and ocean. The global precipitation climatology significantly improves in the inhomogeneous MTD0 case without significantly affecting the excellent performance of the CFSsmcm in terms of the intraseasonal and synoptic variability as documented in previous publications.


Stochastic Parameterization Convection Cloud 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • B. B. Goswami
    • 1
    Email author
  • B. Khouider
    • 1
  • R. Phani
    • 2
  • Parthasarathi Mukhopadhyay
    • 2
  • A. J. Majda
    • 3
    • 4
  1. 1.Department of Mathematics and StatisticsUniversity of VictoriaVictoriaCanada
  2. 2.Indian Institute of Tropical MeteorologyPuneIndia
  3. 3.Department of Mathematics and Center for Atmosphere and Ocean SciencesCourant Institute for Mathematical Sciences, New York UniversityNew York CityUSA
  4. 4.Center for Prototype Climate ModelsNew York University-Abu DhabiAbu DhabiUnited Arab Emirates

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