Sentences with phrase «global cloud properties»

To the contrary, they are at pains to point out that «difficulties in measuring clouds means it is unclear how global cloud properties have changed over [the past 30 years]», and suggest that «the [ISCCP] dataset contains considerable features of an artificial origin.»

Not exact matches

But since the global supply chain for AM requires companies to share computer aided design (CAD) files within the organization or with outside parties via email or cloud, intellectual - property thieves and malefactors have many opportunities to filch a manufacturer's design files to produce counterfeit parts.

Atmospheric particles scatter and absorb solar radiation and determine cloud properties, playing a critical role in global climate.

Mars equatorial mesospheric clouds: Global occurrence and physical properties from Mars Global Surveyor Thermal Emission Spectrometer and Mars Orbiter Camera limb observations R. T. Clancy, M. J. Wolff, B. A. Whitney, B. A. Cantor, and M. D. Smith Journal of Geophysical Research 112, E04004, doi: 10.1029 / 2006JE002805, 19 April 2007.

Scientists are using airborne observations of atmospheric trace gases, aerosols, and cloud properties from the North Slopes of Alaska to improve their understanding of global climate, with the goal of reducing the uncertainty in global and regional climate simulations and projections.

For the first time, simultaneous global observations of the ERB and a multitude of cloud, aerosol, and surface properties and atmospheric state data are available with a high degree of precision.»

There can / will be local and regional, latitudinal, diurnal and seasonal, and internal variability - related deviations to the pattern (in temperature and in optical properties (LW and SW) from components (water vapor, clouds, snow, etc.) that vary with weather and climate), but the global average effect is at least somewhat constrained by the global average vertical distribution of solar heating, which requires the equilibrium net convective + LW fluxes, in the global average, to be sizable and upward at all levels from the surface to TOA, thus tending to limit the extent and magnitude of inversions.)

To evaluate the global effects of aerosols on the direct radiative balance, tropospheric chemistry, and cloud properties of the earth's atmosphere requires high - precision remote sensing that is sensitive to the aerosol optical thickness, size istribution, refractive index, and number density.

Cho, H. - M., Z. Zhang, K. Meyer, M. Lebsock, S. Platnick, A.S. Ackerman, L. Di Girolamo, L.C. Labonnote, C. Cornet, J. Riedi, and R.E. Holz, 2015: Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans.

Naud, C.M., D.J. Posselt, and S.C. van den Heever, 2015: A CloudSat - CALIPSO view of cloud and precipitation properties across cold fronts over the global oceans.

How may low - cloud radiative properties simulated in the current climate influence low - cloud feedbacks under global warming?

But such understanding requires global measurements of aerosols with sufficient detail to define their properties and their effect on clouds, a task that remains elusive»

The global electric current causes changes in cloud properties and precipitation which in turn causes warming in both locations.

Global mean cloud properties averaged over the period 1986 - 1993 are: cloud amount = 0.675 ± 0.012, cloud top temperature = 261.5 ± 2.8 K, and cloud optical thickness = 3.7 ± 0.3, where the plus - minus values are the rms deviations of global monthly mean values from their long - term avGlobal mean cloud properties averaged over the period 1986 - 1993 are: cloud amount = 0.675 ± 0.012, cloud top temperature = 261.5 ± 2.8 K, and cloud optical thickness = 3.7 ± 0.3, where the plus - minus values are the rms deviations of global monthly mean values from their long - term avglobal monthly mean values from their long - term average.

Although we focus on a hypothesized CR - cloud connection, we note that it is difficult to separate changes in the CR flux from accompanying variations in solar irradiance and the solar wind, for which numerous causal links to climate have also been proposed, including: the influence of UV spectral irradiance on stratospheric heating and dynamic stratosphere - troposphere links (Haigh 1996); UV irradiance and radiative damage to phytoplankton influencing the release of volatile precursor compounds which form sulphate aerosols over ocean environments (Kniveton et al. 2003); an amplification of total solar irradiance (TSI) variations by the addition of energy in cloud - free regions enhancing tropospheric circulation features (Meehl et al. 2008; Roy & Haigh 2010); numerous solar - related influences (including solar wind inputs) to the properties of the global electric circuit (GEC) and associated microphysical cloud changes (Tinsley 2008).

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).

Two cloud types occur: moist convective clouds, when the atmosphere is moist statically unstable, and large - scale super-saturation, with cloud optical properties based on the amount of moisture removed to eliminate super-saturation, with scaling coefficients chosen to optimize the control run's fit with global observations [108,112].

We disagree with this conclusion, arguing that when cloud properties are considered as a global average (Fig. 3) or over areas of frequent cloud cover (Fig. 4), the strong anti-correlation between low and middle - to - high level cloud is both clear, and statistically significant.

[A] now - classic set of General Circulation Model (GCM) experiments ¬ produced global average surface temperature changes (due to doubled atmospheric CO2 concentration) ranging from 1.9 °C to 5.4 °C, simply by altering the way that cloud radiative properties were treated in the model.

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