Evaluation of stratocumulus cloud prediction in the Met Office forecast model during VOCALS-REx

Abstract. Observations in the subtropical southeast Pacific obtained during the VOCALS-REx field experiment are used to evaluate the representation of stratocumulus cloud in the Met Office forecast model and to identify key areas where model biases exist. Marked variations in the large scale structure of the cloud field were observed during the experiment on both day-to-day and on diurnal timescales. In the remote maritime region the model is shown to have a good representation of synoptically induced variability in both cloud cover and marine boundary layer depth. Satellite observations show a strong diurnal cycle in cloud fraction and liquid water path in the stratocumulus with enhanced clearances of the cloud deck along the Chilean and Peruvian coasts on certain days. The model accurately simulates the phase of the diurnal cycle but is unable to capture the coastal clearing of cloud. Observations along the 20° S latitude line show a gradual increase in the depth of the boundary layer away from the coast. This trend is well captured by the model (typical low bias of 200 m) although significant errors exist at the coast where the model marine boundary layer is too shallow and moist. Drizzle in the model responds to changes in liquid water path in a manner that is consistent with previous ship-borne observations in the region although the intensity of this drizzle is likely to be too high, particularly in the more polluted coastal region where higher cloud droplet number concentrations are typical. Another mode of variability in the cloud field that the model is unable to capture are regions of pockets of open cellular convection embedded in the overcast stratocumulus deck and an example of such a feature that was sampled during VOCALS-REx is shown.

[1]  S. Klein,et al.  The Seasonal Cycle of Low Stratiform Clouds , 1993 .

[2]  P. Kollias,et al.  Boundary Layer, Cloud, and Drizzle Variability in the Southeast Pacific Stratocumulus Regime , 2008 .

[3]  L. O'Neill,et al.  A regional real-time forecast of marine boundary layers during VOCALS-REx , 2010 .

[4]  R. Garreaud,et al.  The Low-Level Jet off the West Coast of Subtropical South America: Structure and Variability , 2005 .

[5]  J. Seinfeld,et al.  Aerosol and Cloud Microphysical Characteristics of Rifts and Gradients in Maritime Stratocumulus Clouds , 2006 .

[6]  A. P. Siebesma,et al.  Cloud representation in general‐circulation models over the northern Pacific Ocean: A EUROCS intercomparison study , 2004 .

[7]  N. B. Ingleby,et al.  The Met. Office global three‐dimensional variational data assimilation scheme , 2000 .

[8]  William R. Cotton,et al.  A Numerical Investigation of Several Factors Contributing to the Observed Variable Intensity of Deep Convection over South Florida , 1980 .

[9]  C. Bretherton,et al.  An aircraft case study of the spatial transition from closed to open mesoscale cellular convection over the Southeast Pacific , 2010 .

[10]  G. Martin,et al.  The Physical Properties of the Atmosphere in the New Hadley Centre Global Environmental Model (HadGEM1). Part I: Model Description and Global Climatology , 2006 .

[11]  Robert Wood,et al.  Understanding the Importance of Microphysics and Macrophysics for Warm Rain in Marine Low Clouds. Part II: Heuristic Models of Rain Formation , 2009 .

[12]  A. Slingo,et al.  Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model , 1996 .

[13]  B. Albrecht,et al.  Climatology of Surface Meteorology, Surface Fluxes, Cloud Fraction, and Radiative Forcing over the Southeast Pacific from Buoy Observations , 2009 .

[14]  Southeast pacific stratocumulus: high-frequency variability and mesoscale structures over San Félix Island , 2010 .

[15]  B. Shipway,et al.  Analytical estimation of cloud droplet nucleation based on an underlying aerosol population , 2010 .

[16]  Damian R. Wilson,et al.  A microphysically based precipitation scheme for the UK meteorological office unified model , 1999 .

[17]  D. Rahn,et al.  Marine boundary layer over the subtropical southeast Pacific during VOCALS-REx – Part 1: Mean structure and diurnal cycle , 2009 .

[18]  C. Bretherton,et al.  The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx): goals, platforms, and field operations , 2010 .

[19]  C. Bretherton,et al.  Open cellular structure in marine stratocumulus sheets , 2008 .

[20]  C. Bretherton,et al.  Southeast Pacific stratocumulus clouds, precipitation and boundary layer structure sampled along 20° S during VOCALS-REx , 2010 .

[21]  I. Sandu,et al.  Relationship between drizzle rate, liquid water path and droplet concentration at the scale of a stratocumulus cloud system , 2008 .

[22]  Sungsu Park,et al.  A single-column model intercomparison of a heavily drizzling stratocumulus-topped boundary layer , 2007 .

[23]  Damian R. Wilson,et al.  Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities , 2008 .

[24]  A. Slingo,et al.  Sensitivity of the Earth's radiation budget to changes in low clouds , 1990, Nature.

[25]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[26]  S. Nicholls,et al.  A Study of the Diurnal Variation of Stratocumulus Using A Multiple Mixed Layer Model , 2007 .

[27]  S. Bony,et al.  Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models , 2005 .

[28]  James J. Hack,et al.  Evaluation of Forecasted Southeast Pacific Stratocumulus in the NCAR, GFDL, and ECMWF Models , 2008 .

[29]  G. Martin,et al.  A New Boundary Layer Mixing Scheme. Part I: Scheme Description and Single-Column Model Tests , 2000 .

[30]  C. Bretherton,et al.  The PreVOCA experiment: Modeling the Lower Troposphere in the Southeast Pacific , 2009 .

[31]  C. Bretherton,et al.  POCKETS OF OPEN CELLS AND DRIZZLE IN MARINE STRATOCUMULUS , 2004 .

[32]  A. Staniforth,et al.  A new dynamical core for the Met Office's global and regional modelling of the atmosphere , 2005 .

[33]  R. Smith A scheme for predicting layer clouds and their water content in a general circulation model , 1990 .

[34]  A. Arakawa,et al.  Peruvian stratus clouds and the tropical Pacific circulation , 1996 .

[35]  C. Bretherton,et al.  Reflectivity and rain rate in and below drizzling stratocumulus , 2004 .

[36]  C. Bretherton,et al.  The Epic 2001 Stratocumulus Study , 2004 .

[37]  P. Zuidema,et al.  Stratocumulus Cloud-Top Height Estimates and Their Climatic Implications , 2009 .

[38]  Christopher W. O'Dell,et al.  Cloud Liquid Water Path from Satellite-Based Passive Microwave Observations: A New Climatology over the Global Oceans , 2008 .

[39]  Robert Wood,et al.  Drizzle in Stratiform Boundary Layer Clouds. Part II: Microphysical Aspects. , 2005 .

[40]  Hailong Wang,et al.  Modeling Mesoscale Cellular Structures and Drizzle in Marine Stratocumulus. Part I: Impact of Drizzle on the Formation and Evolution of Open Cells , 2009 .

[41]  D. Rahn,et al.  Marine boundary layer over the subtropical southeast Pacific during VOCALS-REx – Part 2: Synoptic variability , 2009 .

[42]  B. Shipway,et al.  A comparison of cloud‐resolving model simulations of trade wind cumulus with aircraft observations taken during RICO , 2007 .

[43]  A. Lock The sensitivity of a GCM's marine stratocumulus to cloud‐top entrainment , 2004 .

[44]  S. Twomey Pollution and the Planetary Albedo , 1974 .

[45]  C. Bretherton,et al.  South East Pacific atmospheric composition and variability sampled along 20° S during VOCALS-REx , 2011 .

[46]  A. Lock The Numerical Representation of Entrainment in Parameterizations of Boundary Layer Turbulent Mixing , 2001 .