GOES 12 observations of convective storm variability and evolution during the Tropical Composition, Clouds and Climate Coupling Experiment field program

[1] This study characterizes convective clouds that occurred during the Tropical Composition, Clouds and Climate Coupling Experiment as observed within GOES imagery. Overshooting deep convective cloud tops (OT) that penetrate through the tropical tropopause layer and into the stratosphere are of particular interest in this study. The results show that there were clear differences in the areal coverage of anvil cloud, deep convection, and OT activity over land and water and also throughout the diurnal cycle. The offshore waters of Panama, northwest Colombia, and El Salvador were the most active regions for OT-producing convection. A cloud object tracking system is used to monitor the duration and areal coverage of convective cloud complexes as well as the time evolution of their cloud-top microphysical properties. The mean lifetime for these complexes is 5 hours, with some existing for longer than 16 hours. Deep convection is found within the anvil cloud during 60% of the storm lifetime and covered 24% of the anvil cloud. The cloud-top height and optical depth at the storm core followed a reasonable pattern, with maximum values occurring 20% into the storm lifetime. The values in the surrounding anvil cloud peaked at a relative age of 20%–50% before decreasing as the convective cloud complex decayed. Ice particle diameter decreased with distance from the core but generally increased with storm age. These results, which characterize the average convective system during the experiment, should be valuable for formulating and validating convective cloud process models.

[1]  A. Dessler The effect of deep, tropical convection on the tropical tropopause layer , 2002 .

[2]  Johannes Schmetz,et al.  Monitoring deep convection and convective overshooting with METEOSAT , 1997 .

[3]  Richard A. Kohrs,et al.  Over-Ocean Validation of the Global Convective Diagnostic , 2004 .

[4]  Dong L. Wu,et al.  Cloud ice: A climate model challenge with signs and expectations of progress , 2007 .

[5]  Patrick Minnis,et al.  Diurnal variability of regional cloud and clear-sky radiative parameters derived from GOES data. Part II : November 1978 cloud distributions. , 1984 .

[6]  Chidong Zhang Large-Scale Variability of Atmospheric Deep Convection in Relation to Sea Surface Temperature in the Tropics , 1993 .

[7]  Edward J. Zipser,et al.  Implications of the differences between daytime and nighttime CloudSat observations over the tropics , 2008 .

[8]  W. Rossow,et al.  Behavior of Deep Convective Clouds in the Tropical Pacific Deduced from ISCCP Radiances , 1990 .

[9]  P. Minnis,et al.  Evolution of a Florida Cirrus Anvil , 2005 .

[10]  J. Otkin,et al.  Objective Satellite-Based Detection of Overshooting Tops Using Infrared Window Channel Brightness Temperature Gradients , 2010 .

[11]  Vincenzo Levizzani,et al.  Multispectral, high-resolution satellite observations of plumes on top of convective storms , 1996 .

[12]  Pao K Wang,et al.  The thermodynamic structure atop a penetrating convective thunderstorm , 2007 .

[13]  V. Mitev,et al.  Unprecedented evidence for deep convection hydrating the tropical stratosphere , 2008 .

[14]  Patrick Minnis,et al.  Estimating the top altitude of optically thick ice clouds from thermal infrared satellite observations using CALIPSO data , 2008 .

[15]  R. Rabin,et al.  Indication of water vapor transport into the lower stratosphere above midlatitude convective storms: Meteosat Second Generation satellite observations and radiative transfer model simulations , 2008 .

[16]  M. McCormick,et al.  Stratospheric water vapor increases over the past half‐century , 2001 .

[17]  Tetsuya Theodore. Fujita,et al.  Principle of stereoscopic height computations and their applications to stratospheric cirrus over severe thunderstorms , 1982 .

[18]  D. Starr,et al.  The Relationship between Anvil Clouds and Convective Cells: A Case Study in South Florida during CRYSTAL-FACE , 2008 .

[19]  M. McCormick,et al.  A 6‐year climatology of cloud occurrence frequency from Stratospheric Aerosol and Gas Experiment II observations (1985–1990) , 1996 .

[20]  Steven Platnick,et al.  Evaluation of Cirrus Cloud Properties Derived from MODIS Data Using Cloud Properties Derived from Ground-Based Observations Collected at the ARM SGP Site , 2005 .

[21]  James D. Spinhirne,et al.  Aircraft overflight measurements of Midwest severe storms : implications on geosynchronous satellite interpretations , 1991 .

[22]  Robert M. Rabin,et al.  Multiscale storm identification and forecast , 2003 .

[23]  S. Oltmans,et al.  The increase in stratospheric water vapor from balloonborne, frostpoint hygrometer measurements at Washington, D.C., and Boulder, Colorado , 2000 .

[24]  John M. Wallace,et al.  Satellite-Inferred Morning-to-Evening Cloudiness Changes , 1980 .

[25]  Patrick Minnis,et al.  Comparison of GOES‐retrieved and in situ measurements of deep convective anvil cloud microphysical properties during the Tropical Composition, Cloud and Climate Coupling Experiment (TC4) , 2010 .

[26]  I. Laszlo,et al.  Detection of water vapor in the stratosphere over very high clouds in the tropics , 1993 .

[27]  Valliappa Lakshmanan,et al.  An Efficient , General-Purpose Technique to Identify Storm Cells in Geospatial Images , 2010 .

[28]  Andrew E. Dessler,et al.  Observations of deep convection in the tropics using the Tropical Rainfall Measuring Mission (TRMM) precipitation radar , 2002 .

[29]  Chuntao Liu Geographical and seasonal distribution of tropical tropopause thin clouds and their relation to deep convection and water vapor viewed from satellite measurements , 2006 .

[30]  Andrew J. Negri,et al.  Cloud-top structure of tornadic storms on 10 April 1979 from rapid scan and stereo satellite observations , 1982 .

[31]  Edward J. Zipser,et al.  Global distribution of convection penetrating the tropical tropopause , 2005 .

[32]  Robert F. Adler,et al.  Thunderstorm top structure observed by aircraft overflights with an infrared radiometer , 1983 .

[33]  G. Mace,et al.  Convective formation of pileus cloud near the tropopause , 2006 .

[34]  Steven Platnick,et al.  Planning, implementation, and first results of the Tropical Composition, Cloud and Climate Coupling Experiment (TC4) , 2010 .

[35]  J. A. Smith,et al.  Can overshooting convection dehydrate the tropical tropopause layer , 2007 .

[36]  Travis M. Smith,et al.  An Objective Method of Evaluating and Devising Storm-Tracking Algorithms , 2010 .

[37]  J. Pyle,et al.  Quantifying the imprint of a severe Hector thunderstorm during ACTIVE/SCOUT-O3 onto the water content in the upper troposphere/lower stratosphere , 2009 .

[38]  Pao K Wang,et al.  Moisture plumes above thunderstorm anvils and their contributions to cross-tropopause transport of water vapor in midlatitudes , 2003 .

[39]  Patrick Minnis,et al.  An evaluation of operational GOES‐derived single‐layer cloud top heights with ARSCL data over the ARM Southern Great Plains Site , 2008 .

[40]  A. Gettelman,et al.  Distribution and influence of convection in the tropical tropopause region , 2002 .

[41]  Takao Fujita,et al.  Impossibility criterion of being an ample divisor , 1982 .

[42]  Robert M. Rabin,et al.  Contribution of the MODIS instrument to observations of deep convective storms and stratospheric moisture detection in GOES and MSG imagery , 2007 .

[43]  Patrick Minnis,et al.  Evaluation of Satellite-Based Upper Troposphere Cloud Top Height Retrievals in Multilayer Cloud Conditions During TC4 , 2010 .

[44]  Bryan A. Baum,et al.  The Development of Midlatitude Cirrus Models for MODIS Using FIRE-I, FIRE-II, and ARM In Situ Data , 2002 .

[45]  Steven A. Ackerman,et al.  Global Satellite Observations of Negative Brightness Temperature Differences between 11 and 6.7 µm , 1996 .

[46]  Travis M. Smith,et al.  The Warning Decision Support System–Integrated Information , 2007 .