«For example, the best global
atmospheric models driven by specified sea surface temperatures can do a good job of simulating global temperature, winds and water vapor distributions.
Not exact matches
«Which of those is correct at this stage is unknown, but the droughts being
driven by
atmospheric greenhouse gas concentrations is in line with some of these global circulation
models,» Lewis said.
In a study set to come out in Nature tomorrow, an international group of scientists reports that they simulated
atmospheric behavior using several different
models and used them to forecast anthropogenically
driven changes in average annual rainfall at different latitudes from 1925 to 1999.
In this work, using a simple time - dependent 1D
model, we demonstrate that radiative cloud feedback can
drive spontaneous
atmospheric variabilities in both temperature and cloud structures under conditions appropriate for brown dwarfs and directly imaged EGPs.
People who work in this field, called
atmospheric scientists, use computers and math to
model the properties of Earth's atmosphere that
drive weather, climate and the movement of gases and pollutants through the air.
The advantage of such partially - coupled
models is that they can be
driven by past
atmospheric conditions and the simulations match well the observed sea ice variability, which is strongly forced by the atmosphere.
And, the IPCC projection is probably too high because it was
driven by a collection of climate
models which new science indicates produce too much warming given a rise in
atmospheric carbon dioxide levels.
This prediction failure has been due to the climate
models assuming that minimum temperatures (nighttime temps) are
driven by
atmospheric CO2 levels, resulting in predicted minimum temperatures that are too high.
In contrast to Trenberth's 2015 lament that
atmospheric circulation patterns are not robustly simulated by CO2 -
driven climate
models, predicting storm tracks and blocking are the most critical factors for providing early warnings.
The retrospective investigation consists of a
model hindcast for more than a half century using «reality - based»
atmospheric forcing to
drive the
model.
This result suggests that current projections of regional climate change may be questionable.This finding is also highly relevant to regional climate
modelling studies where lower resolution global
atmospheric models are often used as the
driving model for high resolution regional
models.
While the computer climate
models exaggerate the warming effect of
atmospheric carbon dioxide, they plausibly simulate that greater economic development
driven by growing use of fossil fuels will add more carbon dioxide to the atmosphere.
This
drives the evolution from
atmospheric models to physical climate
models to earth system
models.
«What we've done is we've taken a
model that was once tied to plant phenology and adapted it to be more tuned to the
atmospheric component so that we can isolate the part that's
driven by the climate system or is
driven by the atmosphere.»
Most CM experiments based on RCPs will be
driven by greenhouse gas concentrations (Hibbard et al. 2007).8 Furthermore, many Earth system
models do not contain a full
atmospheric chemistry
model, and thus require exogenous inputs of three - dimensional distributions for reactive gases, oxidant fields, and aerosol loadings.
Therefore, a
model run
driven with
atmospheric data from 2007, which is started from spring ice conditions in 2008 instead of 2007, leads to an even smaller ice extent.
As discussed in the article on natural cycles of ocean «acidification», and illustrated in the graph below by Martinez - Boti, over the past 15,000 years proxy data (thick lines) has determined surface pH has rarely been in equilibrium with expectations (green line) based on
models driven by
atmospheric CO2.
-- ... and thus it is only an assumption based on
models (i.e., the idea that oceans are a net sink is based upon
modeling, not observations) that the tiny changes in human emissions from year to year are
driving the
atmospheric CO2 concentration changes.
In other words, we obtained a site specific, tortuosity - depth relationship by adjusting diffusivity until the
model reproduced the observed CO2 firn - air profile when
driven by the independently derived
atmospheric CO2 history (see Fig.