LMDZ5B: the atmospheric component of the IPSL climate model with revisited parameterizations for clouds and convection View Full Text


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Article Info

DATE

2012-04-28

AUTHORS

Frédéric Hourdin, Jean-Yves Grandpeix, Catherine Rio, Sandrine Bony, Arnaud Jam, Frédérique Cheruy, Nicolas Rochetin, Laurent Fairhead, Abderrahmane Idelkadi, Ionela Musat, Jean-Louis Dufresne, Alain Lahellec, Marie-Pierre Lefebvre, Romain Roehrig

ABSTRACT

Based on a decade of research on cloud processes, a new version of the LMDZ atmospheric general circulation model has been developed that corresponds to a complete recasting of the parameterization of turbulence, convection and clouds. This LMDZ5B version includes a mass-flux representation of the thermal plumes or rolls of the convective boundary layer, coupled to a bi-Gaussian statistical cloud scheme, as well as a parameterization of the cold pools generated below cumulonimbus by re-evaporation of convective precipitation. The triggering and closure of deep convection are now controlled by lifting processes in the sub-cloud layer. An available lifting energy and lifting power are provided both by the thermal plumes and by the spread of cold pools. The individual parameterizations were carefully validated against the results of explicit high resolution simulations. Here we present the work done to go from those new concepts and developments to a full 3D atmospheric model, used in particular for climate change projections with the IPSL-CM5B coupled model. Based on a series of sensitivity experiments, we document the differences with the previous LMDZ5A version distinguishing the role of parameterization changes from that of model tuning. Improvements found previously in single-column simulations of case studies are confirmed in the 3D model: (1) the convective boundary layer and cumulus clouds are better represented and (2) the diurnal cycle of convective rainfall over continents is delayed by several hours, solving a longstanding problem in climate modeling. The variability of tropical rainfall is also larger in LMDZ5B at intraseasonal time-scales. Significant biases of the LMDZ5A model however remain, or are even sometimes amplified. The paper emphasizes the importance of parameterization improvements and model tuning in the frame of climate change studies as well as the new paradigm that represents the improvement of 3D climate models under the control of single-column case studies simulations. More... »

PAGES

2193-2222

References to SciGraph publications

  • 2005-04-27. Polar amplification of surface warming on an aquaplanet in “ghost forcing” experiments without sea ice feedbacks in CLIMATE DYNAMICS
  • 1993. A Cumulus Representation Based on the Episodic Mixing Model: The Importance of Mixing and Microphysics in Predicting Humidity in THE REPRESENTATION OF CUMULUS CONVECTION IN NUMERICAL MODELS
  • 1988. Parameterization of Condensation and Associated Clouds in Models for Weather Prediction and General Circulation Simulation in PHYSICALLY-BASED MODELLING AND SIMULATION OF CLIMATE AND CLIMATIC CHANGE
  • 2009-05-19. A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction in BOUNDARY-LAYER METEOROLOGY
  • 2006-08-08. The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection in CLIMATE DYNAMICS
  • 2006-02-04. On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles in CLIMATE DYNAMICS
  • 2009-12-11. Resolved Versus Parametrized Boundary-Layer Plumes. Part I: A Parametrization-Oriented Conditional Sampling in Large-Eddy Simulations in BOUNDARY-LAYER METEOROLOGY
  • 2012-12-21. Resolved Versus Parametrized Boundary-Layer Plumes. Part III: Derivation of a Statistical Scheme for Cumulus Clouds in BOUNDARY-LAYER METEOROLOGY
  • 1996-05. A methodology study of the validation of clouds in GCMs using ISCCP satellite observations in CLIMATE DYNAMICS
  • 2010-03-05. Resolved Versus Parametrized Boundary-Layer Plumes. Part II: Continuous Formulations of Mixing Rates for Mass-Flux Schemes in BOUNDARY-LAYER METEOROLOGY
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    16 schema:description Based on a decade of research on cloud processes, a new version of the LMDZ atmospheric general circulation model has been developed that corresponds to a complete recasting of the parameterization of turbulence, convection and clouds. This LMDZ5B version includes a mass-flux representation of the thermal plumes or rolls of the convective boundary layer, coupled to a bi-Gaussian statistical cloud scheme, as well as a parameterization of the cold pools generated below cumulonimbus by re-evaporation of convective precipitation. The triggering and closure of deep convection are now controlled by lifting processes in the sub-cloud layer. An available lifting energy and lifting power are provided both by the thermal plumes and by the spread of cold pools. The individual parameterizations were carefully validated against the results of explicit high resolution simulations. Here we present the work done to go from those new concepts and developments to a full 3D atmospheric model, used in particular for climate change projections with the IPSL-CM5B coupled model. Based on a series of sensitivity experiments, we document the differences with the previous LMDZ5A version distinguishing the role of parameterization changes from that of model tuning. Improvements found previously in single-column simulations of case studies are confirmed in the 3D model: (1) the convective boundary layer and cumulus clouds are better represented and (2) the diurnal cycle of convective rainfall over continents is delayed by several hours, solving a longstanding problem in climate modeling. The variability of tropical rainfall is also larger in LMDZ5B at intraseasonal time-scales. Significant biases of the LMDZ5A model however remain, or are even sometimes amplified. The paper emphasizes the importance of parameterization improvements and model tuning in the frame of climate change studies as well as the new paradigm that represents the improvement of 3D climate models under the control of single-column case studies simulations.
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