Heymsfield A. J., A. Bansemer, S. Y. Matrosov and L. Tian (February 2008): The 94 - GHz radar dim band: Relevance to
ice cloud properties and CloudSat.
«Information content of visible and midinfrared radiances for retrieving tropical
ice cloud properties.»
Not exact matches
«Dust particles have been shown to be efficient
ice nuclei, which may influence the monsoon by changing
clouds»
properties,» Jin said.
«Probability density function,» a statistical representation of the likelihood of something occurring at any point in time, was used to examine
cloud properties, including vertical motion, liquid and
ice water content, and the conditions of
cloud particle growth, including how
ice crystals grow at the expense of liquid droplets.
In one sentence: Researchers at Pacific Northwest National Laboratory found that when miniscule particles of airborne dust, thought to be a perfect landing site for water vapor, are modified by pollution, they change
cloud properties via
ice crystal number concentration and
ice water content.
Scientists are working to understand their underlying processes, such as which particle surface
properties encourage or discourage
ice formation, called nucleation, so they can accurately simulate how, where, and when
clouds are formed.
Taking a closer look at the
properties of water droplets and
ice crystals within
clouds, the team found that pollution resulted in smaller droplets and
ice crystals, regardless of location.
The ICESat mission provided multi-year elevation data needed to determine
ice sheet mass balance as well as
cloud property information.
Four other instruments on board the aircraft measure the physical
properties of droplets and
ice crystals in high monsoon and cirrus
clouds.
The model variables that are evaluated against all sorts of observations and measurements range from solar radiation and precipitation rates, air and sea surface temperatures,
cloud properties and distributions, winds, river runoff, ocean currents,
ice cover, albedos, even the maximum soil depth reached by plant roots (seriously!).
While the amounts and distribution of water vapor and
clouds are feedbacks, the intrinsic
properties are «externally - imposed» by the physics, as is the case with snow and
ice, etc..
Jackson, R.C., G.M. McFarquhar, A. Fridlind, and R. Atlas, 2015: The dependence of cirrus gamma size distributions expressed as volumes in N0 - λ - μ phase space and bulk
cloud properties on environmental conditions: Results from Small
Ice Particles in Cirrus Experiment (SPARTICUS).
«Derivation of physical and optical
properties of mid-latitude cirrus
ice crystals for a size - resolved
cloud microphysics model.»
Since arctic
clouds are known to exert a significant influence on atmospheric radiation and may play a role in observed arctic warming, the ARM - ACME V campaign will also address populations of liquid droplets and
ice crystals to help characterize the
properties of
cloud layers.
One can't arbitrarily choose feedbacks for water vapor,
ice / albedo,
clouds, etc., without looking to see how these phenomena are actually behaving — e.g., what are the radiative
properties of water vapor, how is relative humidity changing, what is happening to low
cloud cover, high
cloud cover, and the high / low
cloud ratios, etc.?.
The most significant changes in the new D - series
cloud datasets are: 1) revised radiance calibrations to remove spurious changes in the long - term record, 2) increased cirrus detection sensitivity over land, 3) increased low - level
cloud detection sensitivity in polar regions, 4) reduced biases in cirrus
cloud properties using an
ice crystal microphysics model in place of a liquid droplet microphysics model, and 5) increased detail about the variations of
cloud properties.
«While we have hypotheses about how the radiative
properties may be affected within a single
cloud,» Anna Possner explains, «we are limited in our understanding of how the presence of
ice crystals impacts the areal coverage and reflective
properties on the scale of an entire
cloud field.»
Based on the understanding of both the physical processes that control key climate feedbacks (see Section 8.6.3), and also the origin of inter-model differences in the simulation of feedbacks (see Section 8.6.2), the following climate characteristics appear to be particularly important: (i) for the water vapour and lapse rate feedbacks, the response of upper - tropospheric RH and lapse rate to interannual or decadal changes in climate; (ii) for
cloud feedbacks, the response of boundary - layer
clouds and anvil
clouds to a change in surface or atmospheric conditions and the change in
cloud radiative
properties associated with a change in extratropical synoptic weather systems; (iii) for snow albedo feedbacks, the relationship between surface air temperature and snow melt over northern land areas during spring and (iv) for sea
ice feedbacks, the simulation of sea
ice thickness.
Observed and simulated
cloud properties will be considered within the context of the aerosol and meteorological environment over the West Antarctic
Ice Sheet using ancillary AWARE, reanalysis and satellite measurements.
Aerosols may influence climate in several ways: directly through scattering and absorbing radiation (see Aerosol — radiation interaction) and indirectly by acting as
cloud condensation nuclei or
ice nuclei, modifying the optical
properties and lifetime of
clouds (see Aerosol —
cloud interaction).
McFarquhar, G.M., G. Zhang, M.R. Poellot, G.L. Kok, R. McCoy, T. Tooman, A. Fridlind, and A.J. Heymsfield, 2007:
Ice properties of single - layer stratocumulus during the Mixed - Phase Arctic
Cloud Experiment (MPACE): Part I, Observations.
Huo, and R.M. Welch, 1999: The effects of aspect ratio and surface roughness on satellite retrievals of
ice -
cloud properties.
Macke, A., P.N. Francis, G.M. McFarquhar, and S. Kinne, 1998: The role of
ice particle shapes and size distributions in the single scattering
properties of cirrus
clouds.
Fridlind, A.M., A.S. Ackerman, G. McFarquhar, G. Zhang, M.R. Poellot, P.J. DeMott, A.J. Prenni, and A.J. Heymsfield, 2007:
Ice properties of single - layer stratocumulus during the Mixed - Phase Arctic
Cloud Experiment (M - PACE): Part II, Model results.
It is conceivable that anthropogenic aerosols emitted at the surface and transported to the upper troposphere affect the formation and
properties of
ice clouds.