Sherwood, S. C., Chae, J. - H., Minnis, P. & McGill, M. M., Underestimation
of deep convective cloud tops by thermal imagery.
The response to global warming
of deep convective clouds is also a substantial source of uncertainty in projections since current models predict different responses of these clouds.
Not exact matches
We suspect that water, the constituent
of Saturn's
deepest cloud deck, can suppress convection in the lighter hydrogen atmosphere for a period
of decades, until finally buoyancy wins out and a large
convective outburst ensues.
Microphysical effects determine macrophysical response for aerosol impacts on
deep convective clouds, Proc Natl Acad Sci U S A, Early Edition online the week
of November 11 - 15, 2013, DOI: 10.1073 / pnas.1316830110.
What kind
of cloud cover do you get: high / mid / low /
deep convective?
The data obtained included the first comprehensive measurements
of aerosols and
cloud particles throughout the atmospheric column during the evolution
of multiple
deep convective storm systems.
The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag,
convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase
clouds ● Shallow and
deep convection: stochasticity, scale - awareness, organization, grey zone issues ●
Clouds and circulation feedbacks: boundary - layer
clouds, CFMIP, cirrus ● Microphysics and aerosol -
cloud interactions: microphysical observations, parameterization, process studies on aerosol -
cloud interactions ● Radiation: circulation coupling; interaction between radiation and
clouds ● Land - atmosphere interactions: Role
of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge
of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role
of convective scale models; ensembles; relevant challenges for model development
«We found that aerosol indirect effect on
deep convective cloud systems could lead to enhanced regional convergence and a strong top -
of - atmosphere warming.»
In high
clouds, such as cirrus, cirrostratus, and
deep convective clouds, there is some evidence that dust particles over wetter regions south
of the desert provide surfaces for ice crystals to form around.