Convective Precipitation Variability as a Tool for General Circulation Model Analysis

Abstract Precipitation variability is analyzed in two versions of the Community Atmospheric Model (CAM), the standard model, CAM, and a “multiscale modeling framework” (MMF), in which the cumulus parameterization has been replaced with a cloud-resolving model. Probability distribution functions (PDFs) of daily mean rainfall in three geographic locations [the Amazon Basin and western Pacific in December–February (DJF) and the North American Great Plains in June–August (JJA)] indicate that the CAM produces too much light–moderate rainfall (10 ∼ 20 mm day−1), and not enough heavy rainfall, compared to observations. The MMF underestimates rain contributions from the lightest rainfall rates but correctly simulates more intense rainfall events. These differences are not always apparent in seasonal mean rainfall totals. Analysis of 3–6-hourly rainfall and sounding data in the same locations reveals that the CAM produces moderately intense rainfall as soon as the boundary layer energizes. Precipitation is also co...

[1]  J. Janowiak,et al.  A Gridded Hourly Precipitation Data Base for the United States , 1996 .

[2]  N. McFarlane,et al.  Sensitivity of Climate Simulations to the Parameterization of Cumulus Convection in the Canadian Climate Centre General Circulation Model , 1995, Data, Models and Analysis.

[3]  P. Webster,et al.  TOGA COARE: The Coupled Ocean-Atmosphere Response Experiment. , 1992 .

[4]  D. Easterling,et al.  Trends in Intense Precipitation in the Climate Record , 2005 .

[5]  K. Trenberth,et al.  The Diurnal Cycle and Its Depiction in the Community Climate System Model , 2004 .

[6]  Kevin E. Trenberth,et al.  Observed and model‐simulated diurnal cycles of precipitation over the contiguous United States , 1999 .

[7]  Mariana Vertenstein,et al.  Effects of land use change on North American climate: impact of surface datasets and model biogeophysics , 2004 .

[8]  PATH TO NEXRAD: Doppler Radar Development at the National Severe Storms Laboratory , 2005 .

[9]  M. Garstang,et al.  Cloud and rain processes in a biosphere-atmosphere interaction context in the Amazon Region , 2002 .

[10]  J. R. Porter,et al.  Meteorological Considerations Used in Planning the NEXRAD Network , 1989 .

[11]  D. Randall,et al.  Effects of model resolution and subgrid-scale physics on the simulation of precipitation in the continental United States , 2004 .

[12]  R. Dickinson,et al.  The land surface climatology of the community land model coupled to the NCAR community climate model , 2002 .

[13]  L. Donner,et al.  The Frequency of Extreme Rain Events in Satellite Rain-Rate Estimates and an Atmospheric General Circulation Model , 2007 .

[14]  Thomas M. Smith,et al.  An Improved In Situ and Satellite SST Analysis for Climate , 2002 .

[15]  P. Rasch,et al.  Description of the NCAR community climate model (CCM2), June 1993. Technical note , 1993 .

[16]  Richard H. Johnson,et al.  Corrected TOGA COARE Sounding Humidity Data: Impact on Diagnosed Properties of Convection and Climate over the Warm Pool , 2003 .

[17]  R. Dickinson,et al.  Comparison of precipitation observed over the Continental United States to that simulated by a climate model , 1996 .

[18]  W. Collins,et al.  Description of the NCAR Community Atmosphere Model (CAM 3.0) , 2004 .

[19]  Minghua Zhang,et al.  Constrained Variational Analysis of Sounding Data Based on Column-Integrated Budgets of Mass, Heat, Moisture, and Momentum: Approach and Application to ARM Measurements. , 1997 .

[20]  George N. Kiladis,et al.  Submonthly Convective Variability over South America and the South Atlantic Convergence Zone , 1999 .

[21]  A. Dai Global Precipitation and Thunderstorm Frequencies. Part I: Seasonal and Interannual Variations , 2001 .

[22]  A. Arakawa,et al.  Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I , 1974 .

[23]  D. Randall,et al.  Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities , 2003 .

[24]  J. Susskind,et al.  Global Precipitation at One-Degree Daily Resolution from Multisatellite Observations , 2001 .

[25]  Thomas R. Karl,et al.  Secular Trends of Precipitation Amount, Frequency, and Intensity in the United States , 1998 .

[26]  M. H. Zhang,et al.  Objective Analysis of ARM IOP Data: Method and Sensitivity , 1999 .

[27]  Sandra E. Yuter,et al.  Large-Scale Meteorology and Deep Convection during TRMM KWAJEX* , 2004 .

[28]  D. Randall,et al.  Simulations of the Atmospheric General Circulation Using a Cloud-Resolving Model as a Superparameterization of Physical Processes , 2005 .

[29]  F. Zwiers,et al.  Intercomparison of Near-Surface Temperature and Precipitation Extremes in AMIP-2 Simulations, Reanalyses, and Observations , 2005 .

[30]  W. Grabowski Coupling Cloud Processes with the Large-Scale Dynamics Using the Cloud-Resolving Convection Parameterization (CRCP) , 2001 .

[31]  S. Solomon,et al.  How Often Does It Rain , 2006 .

[32]  D. Starr,et al.  On Quality Control Procedures Being Adopted for TRMM LBA and KWAJEX Soundings Data Sets , 2001 .

[33]  K. Trenberth,et al.  The changing character of precipitation , 2003 .

[34]  Ziad S. Haddad,et al.  The TRMM 'Day-1' Radar/Radiometer Combined Rain-Profiling Algorithm , 1997 .

[35]  Richard H. Johnson,et al.  Rainfall and Radiative Heating Rates from TOGA COARE Atmospheric Budgets , 2000 .

[36]  W. Petersen,et al.  TRMM Observations of Intraseasonal Variability in Convective Regimes over the Amazon , 2002 .

[37]  Response of Climate Simulation to a New Convective Parameterization in the National Center for Atmospheric Research Community Climate Model (CCM3) , 1998 .

[38]  D. Randall,et al.  A cloud resolving model as a cloud parameterization in the NCAR Community Climate System Model: Preliminary results , 2001 .