Sentences with phrase «in microphysics»

Nor is this a significant point in the microphysics of clouds.

This new study then looked at how changes in microphysics of the air - sea interface can make a storm grow or weaken in intensity.

In microphysics Planck postulated in 1900 that electromagnetic energy is emitted in quantised forms and its study must rely on statistical probabilitiesinstead of classical laws.

Not exact matches

P. K. Feyerabend, «Problems of Microphysics», in R. G. Colodny (ed.)

This is because clouds have more - complex microphysics than the open sky, so even small errors in the models can cascade into large uncertainties in the forecast.

Besides its atmospheric chemistry, Perlan 2 will carry instruments to study turbulence in stratospheric mountain waves, and to explore the microphysics of interactions between mountain waves and polar meteorology, which ultimately affect weather variability.

Also a Fellow of the American Physical Society, Hammel received the Los Alamos Fellows Prize in 1995 for his frequently cited work elucidating the microphysics of copper - based high - temperature superconductors.

We will also discuss the theory of planetary physical processes (e.g. circulation, dynamics, thermodynamics, radiative transfer, cloud microphysics) and review the current status of the modelling of planetary atmospheres in order to calculate observables such as light curves.

Parameterizations of cloud microphysics, cumulus clouds, and aerosol - cloud interactions in regional / global climate models

The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) experiment in the Sierras de Córdoba mountain range of north - central Argentina is designed to improve understanding of cloud life cycle and organization in relation to environmental conditions so that cumulus, microphysics, and aerosol parameterizations in multi-scale models can be improved.

If «aggrandisation is not guaranteed», could we just expect from cloud microphysics models that more particles > 3nm will most probably imply more CCN in troposphere?

The greater lesson: Cloud microphysics and cloud updraft dynamics interact with surface processes in very complex and unexpected ways which defy simple hypotheses.

Here is an example of a changing entropy pattern, just like the increase in hurricane intensity, brought about by microphysics changes which have occurred due directly to increases of CO2 changing the CONDUCTIVITY of oceans.

Variation in the ultraviolet part of solar radiation modulates photochemistry in the stratosphere, and some products of the reactions can modulate cloud microphysics.

On the matter of the role of condensation nuclei, a few general circulation models do have some crude representation of nucleation microphysics in their convection or cloud schemes, but it certainly isn't the key factor in the weak increase of precipitation with temperature, which is seen in all GCM's including those with very basic representations of convection.

You have more intense capacitive couplings in some places impacting microphysics and less intense in others, depending on the ocean currents and the induction meaning they hold.

He based his main skeptical ideas on the SOI index — which is ironically causally about CO2 coming out of solution in the Pacific, to one side or the other, and impacting surface conductivities associated with the capacitive couplings I am writing about that change cloud microphysics.

For orographic cumulus clouds, the G - 1 measurements will characterize in - cloud dynamics, microphysics, and aerosols, as well as the environmental variability around the clouds focusing on conditions upstream and downstream of clouds at multiple altitudes in the vicinity of the AMF1 site.

The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in the Sierras de Córdoba mountain range of north - central Argentina is designed to improve understanding of cloud life cycle and organization in relation to environmental conditions so that cumulus, microphysics, and aerosol parameterizations in multiscale models can be improved.

«Influence of Solar Wind on the Global Electric Circuit, and Inferred Effects on Cloud Microphysics, Temperature, and Dynamics in the Troposphere.»

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

The problem with clouds in climate models are of two different types: the first is a microphysics / chemistry one, regarding the physics and chemistry of how a population of cloud particles interacts with aerosol particles and evolves with time.

However the models» simplified treatment of aerosol microphysics introduces biases; further, they usually overestimate the mixing at the tropopause level and intensity of meridional transport in the stratosphere (Douglass et al., 2003; Schoeberl et al., 2003).

The Atmospheric Science Group at Manchester works in the areas of the microphysics of clouds and aerosol, heterogeneous atmospheric chemistry, radiative transfer, the deposition, conversion and transport of atmospheric pollution, thunderstorm electrification, atmospheric dynamics and remote sensing.

The three models are the result of varying a single parameter that controls the amount of cloud water required for the onset of coalescence in the models microphysics scheme, which in turn controls the water content of clouds.

Given current uncertainties in representing convective precipitation microphysics and the current inability to find a clear obser - vational constraint that favors one version of the authors» model over the others, the implications of this ability to engineer climate sensitivity need to be considered when estimating the uncertainty in climate projections.»

Furthermore, a model that could realistically simulate the impact of increasing atmospheric particle concentration on climate must eventually include the simultaneous coupled effects of all the important atmospheric processes, such as fluid motions and cloud microphysics, in addition to the radiative transfer effects.»

[iv] M.Salzmann et al, 2010: Two - moment bulk stratiform cloud microphysics in the GFDL AM3 GCM: description, evaluation, and sensitivity tests.

«Assessment of marine boundary layer cloud simulations in the CAM with CLUBB and updated microphysics scheme based on ARM observations from the Azores.»

Using liquid and ice microphysics models reduces the biases in cloud optical thicknesses to ≲ 10 %, except in cases of mistaken phase identification; most of the remaining bias is caused by differences between actual cloud particle sizes and the values assumed in the analysis.

The aircraft also made in situ measurements of cloud microphysics and ice nuclei, as well as meteorological state parameters and radiative fluxes, which were important study inputs.

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.

On the basis of the current density - cloud hypothesis the variations in the current density change the charge status of aerosols that affect the ice production rate and hence the cloud microphysics and climate [e.g., Tinsley and Dean, 1991; Tinsley, 2000].

Additionally, climatological models, which incorporate CCN generation mechanisms and cloud microphysics, fail to produce significant change in global - scale CCN populations, cloud optical properties, or radiative forcing (Snow - Kropla et al. 2011; Dunne et al. 2012; Kazil et al. 2012).

«Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship - based and satellite remote sensing observations.»

This Russian heritage is combined with the best knowledge of cloud microphysics acquired and described in the western literature over several decades.

Over the past 10 years, however, an alternative school of thought has emerged: that detailed microphysics need not be included in models in order to accurately simulate tropical tropospheric humidity.

Uncertainty in model climate sensitivity traced to representations of cumulus precipitation microphysics.

Using a full factorial design, three schemes were changed in the MPE: vertical diffusion, cloud microphysics, and cumulus convection.