Sentences with phrase «dust aerosol model»

Perlwitz, J.P., I. Tegen, and R.L. Miller, 2001: Interactive soil dust aerosol model in the GISS GCM: 1.

Not exact matches

This method tries to maximize using pure observations to find the temperature change and the forcing (you might need a model to constrain some of the forcings, but there's a lot of uncertainty about how the surface and atmospheric albedo changed during glacial times... a lot of studies only look at dust and not other aerosols, there is a lot of uncertainty about vegetation change, etc).
More elaborate Earth System models often contain tracers related to atmospheric chemistry and aerosols (including dust and sea salt).
The meeting included focus sessions on computational methods for modeling and handling large amounts of data, characterizing uncertainty, research on dust and aerosols, soils, urban systems and individual topics that are too numerous to list, from science communication and stellar astrophysics to biogeochemistry.
Superimpose the various oscillations, solar cycles, and aerosols from volcanoes, desert dust and industrial sources, etc. and see if you have better skill than existing models.
Perlwitz, J.P., C. Pérez García - Pando, and R.L. Miller, 2015: Predicting the mineral composition of dust aerosols — Part 2: Model evaluation and identification of key processes with observations.
Natural aerosols such as dust and sea salt also play an important role in climate and their emissions and interactions differed significantly among the models, with consequences to the role of short - lived pollutants.
Robock found that the forcing which most closely mirrored the actual temperature observations was volcanic aerosols: «volcanic dust is the only external forcing that produces a model response significantly like the observations».
«Here, it is sufficient to note that many of the 20CEN / A1B simulations neglect negative forcings arising from stratospheric ozone depletion, volcanic dust, and indirect aerosol effects on clouds... It is likely that omission of these negative forcings contributes to the positive bias in the model average TLT trends in Figure 6F.
In order to grasp the reasons behind the discrepancies, we investigate the effect of aerosol sources that are not properly included in the model's emission inventory and in the boundary conditions such as the wildfires and the desert dust component.
Dr. Knutti goes on to compare the impact on models resuts depending on different forcing by aerosols, minerals dust, etc..
While it is impossible to know what decisions are made in the development process of each model, it seems plausible that choices are made based on agreement with observations as to what parameterizations are used, what forcing datasets are selected, or whether an uncertain forcing (e.g. mineral dust, land use) or feedback (indirect aerosol effect) is incorporated or not.
In a new set of simulations using an updated model accounting for dust and sea salt aerosols, Chuang et al. (2000b) obtained a forcing of 1.51 Wm - 2 for the first indirect effect from carbonaceous aerosols (0.52 and 1.16 Wm - 2 for fossil fuel and biomass burning aerosols, respectively).
FIGURE 4 - 1 Annual mean aerosol optical depth predicted by an aerosol chemical transport model due to sulfate, mineral dust, sea salt, and organic and black carbon aerosols.
The study, which appeared in a recent issue of Geophysical Research Letters, used 16 years of monthly mean observations from satellites, ground stations, and computer models to look at the relationship between dust particles in the air, called mineral aerosols, and cloud properties.
Tegen, I., and R.L. Miller, 1998: A general circulation model study on the interannual variability of soil dust aerosol.
Yang, P., Q. Feng, G. Hong, G.W. Kattawar, W.J. Wiscombe, M.I. Mishchenko, O. Dubovik, I. Laszlo, and I.N. Sokolik, 2007: Modeling of the scattering and radiative properties of nonspherical dust - like aerosols.
Leon, M. Sorokin, and I. Slutsker, 2006: Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust.
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