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.