An evaluation of deep convective mixing in the Goddard Chemical Transport Model using International Satellite Cloud Climatology Project cloud parameters

The simulation of deep convective mixing in the Goddard Chemical Transport Model (GCTM) is evaluated by comparing 1990-1992 distributions of upper tropospheric convective mass flux and cloud top pressure from the Goddard Earth Observing System data assimilation system (GEOS-1 DAS) with deep convective cloud fields from the International Satellite Cloud Climatology Project (ISCCP). Deep convective mixing in the GCTM is calculated using convective information from the GEOS-1 DAS. Therefore errors introduced when deep convection is parameterized in the GEOS-1 DAS affect the distribution of trace gases in the GCTM. The location of deep convective mixing in the tropics is fairly well simulated, although its north-south extent is overestimated by >5°. The frequency of deep convective mixing also appears to be overestimated in the tropics, resulting in GCTM-calculated upper tropospheric concentrations of carbon monoxide in the tropics that are larger and less variable than those observed. The spatial extent of deep convective mixing in the subtropics is overestimated at several locations including the Caribbean throughout the year and the South Pacific Convergence Zone during June-August. The extent of deep convection is underestimated over midlatitude marine storm tracks. DAS-calculated cloud top pressures differ from ISCCP cloud top pressures by less than one-half a GCTM layer (35 hPa) at most longitudes in the tropics; however, cloud top pressures are overestimated by more than 35 hPa (i.e., the vertical extent of deep convection is underestimated) over wintertime midlatitude storm tracks and the Indian Ocean and underestimated by more than 35 hPa at locations that include the Gulf of Mexico during December-February and central South America during June-August.

[1]  J. Lelieveld,et al.  Influences of cloud photochemical processes on tropospheric ozone , 1990, Nature.

[2]  A. Arakawa,et al.  Inclusion of Rainwater Budget and Convective Downdrafts in the Arakawa-Schubert Cumulus Parameterization , 1997 .

[3]  Richard B. Rood,et al.  Vertical transport by convective clouds: Comparisons of three modeling approaches , 1995 .

[4]  S. Moorthi,et al.  Relaxed Arakawa-Schubert - A parameterization of moist convection for general circulation models , 1992 .

[5]  J. Fishman,et al.  NASA GTE TRACE A experiment (September–October 1992): Overview , 1996 .

[6]  Anne M. Thompson,et al.  Convective transport of biomass burning emissions over Brazil during TRACE A , 1996 .

[7]  James Pfaendtner,et al.  Inclusion of Special Sensor Microwave/imager (SSM/I) Total Precipitable Water Estimates into the GEOS-1 Data Assimilation System , 1995 .

[8]  Leo J. Donner,et al.  A Cumulus Parameterization Including Mass Fluxes, Vertical Momentum Dynamics, and Mesoscale Effects , 1993 .

[9]  D. Jacob,et al.  Effect of aqueous phase cloud chemistry on tropospheric ozone , 1997 .

[10]  Shian‐Jiann Lin,et al.  Multidimensional Flux-Form Semi-Lagrangian Transport Schemes , 1996 .

[11]  N. Mahowald,et al.  Cumulus parameterizations in chemical transport models , 1995 .

[12]  Andrea Molod,et al.  The climatology of parameterized physical processes in the GEOS-1 GCM and their impact on the GEOS-1 data assimilation system , 1996 .

[13]  Richard B. Rood,et al.  Three-dimensional radon 222 calculations using assimilated meteorological data and a convective mixing algorithm , 1996 .

[14]  Shian-Jiann Lin,et al.  Transport-induced interannual variability of carbon monoxide determined using a chemistry and transport model , 1996 .

[15]  D. Rind,et al.  Comparison between SAGE II and ISCCP high‐level clouds: 2. Locating cloud tops , 1995 .

[16]  M. Suárez,et al.  Technical Report Series on Global Modeling and Data Assimilation, Volume 10: Dynamical Aspects of Climate Simulations Using the GEOS General Circulation Model , 1996 .

[17]  Arthur P. Mizzi,et al.  Impact Of Cumulus Initialization on the Spinup of Precipitation Forecasts in the Tropics , 1992 .

[18]  Andrea Molod,et al.  Technical report series on global modeling and data assimilation. Volume 1: Documentation of the Goddard Earth Observing System (GEOS) General Circulation Model, version 1 , 1994 .

[19]  W. Rossow,et al.  The International Satellite Cloud Climatology Project (ISCCP): The First Project of the World Climate Research Programme , 1983 .

[20]  Richard B. Rood,et al.  An assimilated dataset for Earth science applications , 1993 .

[21]  N. Lau,et al.  A Satellite View of the Synoptic-Scale Organization of Cloud Properties in Midlatitude and Tropical Circulation Systems , 1995 .