«It is of paramount importance to account for changes in Saharan vegetation and dust emissions when
simulating past climate change.
I agree with your statement about other models being too young to judge on the same merit, but I do see value in models being able to retroactively
simulate past climate changes.
Not exact matches
Over the
past several years, scientists from many institutions have explored the ability of SP - CAM to
simulate tropical weather systems, the day - night
changes of precipitation, the Asian and African monsoons, cloud - aerosol interactions and other
climate phenomena.
Climate models, run on powerful computers which use decades of past and present climate data to simulate how climate will behave, or has in the past, are the most accurate and reliable source of information on potential future climate
Climate models, run on powerful computers which use decades of
past and present
climate data to simulate how climate will behave, or has in the past, are the most accurate and reliable source of information on potential future climate
climate data to
simulate how
climate will behave, or has in the past, are the most accurate and reliable source of information on potential future climate
climate will behave, or has in the
past, are the most accurate and reliable source of information on potential future
climate climate change.
We can not rule out the possibility that some of the low - frequency Pacific variability was a forced response to variable solar intensity and
changing teleconnections to higher latitudes that are not
simulated by the models, or that non-climatic processes have influenced the proxies... the paleodata - model mismatch supports the possibility that unforced, low - frequency internal
climate variability (that is difficult for models to
simulate) was responsible for at least some of the global temperature
change of the
past millennium.»
In most cases, these range from about 2 to 4.5 C per doubled CO2 within the context of our current
climate — with a most likely value between 2 and 3 C. On the other hand, chapter 9 describes attempts ranging far back into paleoclimatology to relate forcings to temperature
change, sometimes directly (with all the attendant uncertainties), and more often by adjusting model parameters to determine the
climate sensitivity ranges that allow the models to best
simulate data from the
past — e.g., the Last Glacial Maximum (LGM).
It's telling that no physics - based
climate model has been developed that can
simulate past and recent
climate changes without a substantial warming effect from an increase in greenhouse gas concentrations.
Modeled regional and global
climate responses to
simulated (107, 110, 111) and reconstructed historical land cover
changes over the
past century (112) and millennium (113) generally agree that anthropogenic deforestation drives biogeophysical cooling at higher latitudes and warming in low latitudes and suggest that biogeochemical impacts tend to exceed biogeophysical effects (113).
Models help us interpret
past and present
climate changes, and, in so far as they succeed in
simulating past changes, they provide a tool to help evaluate the impacts of alternative policies that affect
climate.
Through research, GFDL scientists have concluded that it is premature to attribute
past changes in hurricane activity to greenhouse warming, although
simulated hurricanes tend to be more intense in a warmer
climate.
It turns out, models have
simulated over four times as much warming compared to reality since 1998, according to a recent study in the journal Nature
Climate Change, entitled: «Overestimated global warming over the
past 20 years.»