Sentences with phrase «microphysics model»

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.

«Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size - resolved cloud microphysics model.»

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?

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.

Not exact matches

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.

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.

Tonttila, J., Maalick, Z., Raatikainen, T., Kokkola, H., Kühn, T., and Romakkaniemi, S.: UCLALES — SALSA v1.0: a large - eddy model with interactive sectional microphysics for aerosol, clouds and precipitation, Geosci.

Radiative transfer, aerosol formation, some aspects of cloud microphysics, ocean diffusion etc. — but the real world has many good experiments that the numerical models can be evaluated against (some mentioned above).

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.

I suggest you get down to the statistical analysis and that you explain (model) exactly how the microphysics is affected by negative charges (you say its more intense — that's not very informative!)

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.

General theory of cloud dynamics; parameterization of microphysics and radiation; models of fog, stratocumuli, cumulonimbi, and orographic clouds

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.

Interactive microphysics - chemistry - climate models (Rozanov et al., 2002, 2004; Shindell et al., 2003b; Timmreck et al., 2003; Dameris et al., 2005) indicate that aerosol - induced stratospheric heating affects the dispersion of the volcanic aerosol cloud, thus affecting the spatial RF.

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 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.»

«Some other models like CESM1 did include microphysics and an indirect aerosol effect, and had slightly lower 20th Century warming than observed... yet its climate sensitivity is higher than for [some other models that don't include the indirect aerosol effect]... the [GWPF] comment presumes that models have been tuned to reproduce the 20th Century temperature record, but this is mostly not true»

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.»

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).

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.

The view is based on results of simplified models of the troposphere that advect water passively and contain virtually no microphysics other than the requirement that water vapor is immediately removed so as to prevent the relative humidity (RH) from exceeding 100 %.

Despite the simplicity of this idea, which entirely neglects detailed microphysics and other small - scale processes, such models accurately reproduce the observed water vapor distribution for the mid and upper troposphere (3, 4).

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

Tonttila, J., Maalick, Z., Raatikainen, T., Kokkola, H., Kühn, T., and Romakkaniemi, S.: UCLALES — SALSA v1.0: a large - eddy model with interactive sectional microphysics for aerosol, clouds and precipitation, Geosci.