Sentences with phrase «ice cloud properties»

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.
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