The Effect of Environmental Conditions on Tropical Deep Convective Systems Observed from the TRMM Satellite

This study uses measurements of radiation and cloud properties taken between January and August 1998 by three Tropical Rainfall Measuring Mission (TRMM) instruments, the Clouds and the Earth's Radiant Energy System (CERES) scanner, the TRMM Microwave Imager (TMI), and the Visible and InfraRed Scanner (VIRS), to evaluate the variations of tropical deep convective systems (DCS) with sea surface temperature (SST) and precipitation. This study finds that DCS precipitation efficiency increases with SST at a rate of approx. 2%/K. Despite increasing rainfall efficiency, the cloud areal coverage rises with SST at a rate of about 7%/K in the warm tropical seas. There, the boundary layer moisture supply for deep convection and the moisture transported to the upper troposphere for cirrus-anvil cloud formation increase by approx. 6.3%/K and approx. 4.0%/K, respectively. The changes in cloud formation efficiency, along with the increased transport of moisture available for cloud formation, likely contribute to the large rate of increasing DCS areal coverage. Although no direct observations are available, the increase of cloud formation efficiency with rising SST is deduced indirectly from measurements of changes in the ratio of DCS ice water path and boundary layer water vapor amount with SST. Besides the cloud areal coverage, DCS cluster effective sizes also increase with precipitation. Furthermore, other cloud properties, such as cloud total water and ice water paths, increase with SST. These changes in DCS properties will produce a negative radiative feedback for the earth's climate system due to strong reflection of shortwave radiation by the DCS. These results significantly differ from some previous hypothesized dehydration scenarios for warmer climates, and have great potential in testing current cloud-system resolving models and convective parameterizations of general circulation models.

[1]  Brian E. Mapes,et al.  Gregarious Tropical Convection , 1993 .

[2]  V. Ramanathan,et al.  Thermodynamic regulation of ocean warming by cirrus clouds deduced from observations of the 1987 El Niño , 1991, Nature.

[3]  A. Tompkins.  On the Relationship between Tropical Convection and Sea Surface Temperature , 2001 .

[4]  P. Minnis,et al.  Estimates of cloud vertical structure and water amount over tropical oceans using VIRS and TMI data , 2003 .

[5]  D. F. Young,et al.  Examination of New CERES Data for Evidence of Tropical Iris Feedback , 2002 .

[6]  Anthony D. Del Genio,et al.  Climatic Properties of Tropical Precipitating Convection under Varying Environmental Conditions , 2002 .

[7]  Patrick Minnis,et al.  Estimation of water cloud properties from satellite microwave , 1998 .

[8]  Dong-Bin Shin,et al.  The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors , 2001 .

[9]  D. F. Young,et al.  New CERES Data Examined for Evidence of Tropical Iris Feedback , 2002 .

[10]  B. Ferrier,et al.  Sensitivity of Tropical West Pacific Oceanic Squall Lines to Tropospheric Wind and Moisture Profiles , 2000 .

[11]  Patrick Minnis,et al.  Comparison of cloud liquid water paths derived from in situ and microwave radiometer data taken during the SHEBA/FIREACE , 2001 .

[12]  R. Lindzen,et al.  Does The Earth Have an Adaptive Infrared Iris , 2013 .

[13]  W. Tao,et al.  Factors Responsible for Precipitation Efficiencies in Midlatitude and Tropical Squall Simulations , 1996 .

[14]  D. F. Young,et al.  Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System Instrument on the Tropical Rainfall Measuring Mission Satellite. Part II; Validation , 2003 .

[15]  H. Grassl,et al.  Water vapour in the atmospheric boundary layer over oceans from SSM/I measurements , 1993 .

[16]  A. Genio,et al.  The Temperature Dependence of the Liquid Water Path of Low Clouds in the Southern Great Plains , 2000 .

[17]  V. Ramanathan,et al.  Aerosols, Climate, and the Hydrological Cycle , 2001, Science.

[18]  Q. Fu,et al.  Tropical cirrus and water vapor: an effective Earth infrared iris feedback? , 2001 .

[19]  Peter S. Ray,et al.  Rainfall Morphology in Florida Convergence Zones: A Numerical Study , 2001 .

[20]  B. Wielicki,et al.  The Iris Hypothesis: A Negative or Positive Cloud Feedback?. , 2002 .

[21]  J. Wallace.  Effect of deep convection on the regulation of tropical sea surface temperature , 1992, Nature.

[22]  Jacques Testud,et al.  Estimate of Precipitation from the Dual-Beam Airborne Radars in TOGA COARE. Part II: Precipitation Efficiency in the 9 February 1993 MCS , 2000 .

[23]  W. Rossow,et al.  Life Cycle Variations of Mesoscale Convective Systems over the Americas , 1998 .

[24]  M. Chong,et al.  A Tropical Squall Line Observed during the COPT 81 Experiment in West Africa. Part II: Water Budget , 1989 .

[25]  Bing Lin,et al.  Seasonal Variation of Liquid and Ice Water Path in Nonprecipitating Clouds over Oceans , 1996 .

[26]  E. F. Bradley,et al.  Bulk parameterization of air‐sea fluxes for Tropical Ocean‐Global Atmosphere Coupled‐Ocean Atmosphere Response Experiment , 1996 .

[27]  R. Hemler,et al.  Numerical simulation of deep tropical convection associated with large-scale convergence , 1986 .

[28]  M. Yao,et al.  Cumulus Microphysics and Climate Sensitivity , 2005 .

[29]  Ka-Ming Lau,et al.  Warm rain processes over tropical oceans and climate implications , 2003 .

[30]  D. Hartmann,et al.  Large-Scale Effects on the Regulation of Tropical Sea Surface Temperature , 1993 .

[31]  Bruce A. Wielicki,et al.  Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System Instrument on the Tropical Rainfall Measuring Mission Satellite. Part II; Validation , 2003 .

[32]  W. Liu,et al.  Cirrus-cloud thermostat for tropical sea surface temperatures tested using satellite data , 1992, Nature.

[33]  James C. Fankhauser,et al.  Estimates of Thunderstorm Precipitation Efficiency from Field Measurements in CCOPE , 1988 .

[34]  M. Chong,et al.  A Tropical Squall Line Observed during the COPT 81 Experiment in West Africa. Part III: Heat and Moisture Budgets , 1990 .

[35]  Ronald M. Welch,et al.  CERES cloud properties derived from multispectral VIRS data , 1999, Remote Sensing.

[36]  Yan Chen,et al.  Global cloud database from VIRS and MODIS for CERES , 2003, SPIE Asia-Pacific Remote Sensing.

[37]  Patrick Minnis,et al.  Cloud liquid water path variations with temperature observed during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment , 2003 .

[38]  Junye Chen,et al.  Evidence for Strengthening of the Tropical General Circulation in the 1990s , 2002, Science.

[39]  F. Bréon,et al.  Aerosol Effect on Cloud Droplet Size Monitored from Satellite , 2002, Science.

[40]  W. Rossow,et al.  Precipitation water path and rainfall rate estimates over oceans using special sensor microwave imager and International Satellite Cloud Climatology Project data , 1997 .

[41]  Y. Sud,et al.  Microphysics of Clouds with the Relaxed Arakawa–Schubert Scheme (McRAS). Part I: Design and Evaluation with GATE Phase III Data , 1999 .

[42]  J. Gamache,et al.  Water Budget of a Mesoscale Convective System in the Tropics , 1983 .

[43]  Joseph B. Klemp,et al.  The Dependence of Numerically Simulated Convective Storms on Vertical Wind Shear and Buoyancy , 1982 .

[44]  George Tselioudis,et al.  Global Patterns of Cloud Optical Thickness Variation with Temperature and the Implications for Climate Change. , 1992 .

[45]  Peter Schlüssel,et al.  Evaluation of Satellite-Derived Latent Heat Fluxes , 1997 .

[46]  G. Stephens.  Cloud Feedbacks in the Climate System: A Critical Review , 2005 .

[47]  Roscoe R. Braham,et al.  THE WATER AND ENERGY BUDGETS OF THE THUNDERSTORM AND THEIR RELATION TO THUNDERSTORM DEVELOPMENT , 1952 .

[48]  Thomas M. Smith,et al.  Improved Global Sea Surface Temperature Analyses Using Optimum Interpolation , 1994 .

[49]  Patrick Minnis,et al.  Estimation of water cloud properties from satellite microwave, infrared and visible measurements in oceanic environments: 1. Microwave brightness temperature simulations , 1998 .

[50]  J. Simpson,et al.  The Atmospheric Energy Budget and Large-Scale Precipitation Efficiency of Convective Systems during TOGA COARE, GATE, SCSMEX, and ARM: Cloud-Resolving Model Simulations , 2004 .

[51]  D. Hartmann,et al.  NO EVIDENCE FOR IRIS , 2002 .