Global climate models tend to give roughly similar estimates for the climate sensitivity, but there is nevertheless a spread between the different model estimates.
Not exact matches
So it is not surprising that while the inure than a dozen major
global climate models in use around the world
tend to agree on the broadest phenomena, they differ wildly when it comes to regional effects.
Climate models have generally
tended to predict
global warming will enhance plants and prolong the growing season — raising the amount of carbon fixed in plant tissues.
On the contrary, our results add to a broadening collection of research indicating that
models that simulate today's
climate best
tend to be the
models that project the most
global warming over the remainder of the twenty - first century.
Psychologists studying
climate communication make two additional (and related) points about why the warming - snow link is going to be exceedingly difficult for much of the public to accept: 1) people's confirmation biases lead them to pay skewed attention to weather events, in such a way as to confirm their preexisting beliefs about
climate change (see p. 4 of this report); 2) people have mental
models of «
global warming» that
tend to rule out wintry impacts.
Global climate models (GCMs)
tend to simulate too few EETCs, perhaps partly due to their coarse horizontal resolution and poorly resolved moist diabatic processes.
«Existing
global climate computer
models tend to underestimate the effects of natural forces on
climate change..»
That we
tend to see much more discussion about
global warming is I think because of the limitations of the
climate models when they go to more regional and seasonal predictions and refinements of max versus min temperature trends.
Empirical data and
climate models also concur that surface temperature change is amplified over land areas, which
tends to make temperature change at the site of deep water an underestimate of the
global temperature.
It argues that
Global Climate Models (GCMs) that show decadal - scale pauses in surface temperature warming
tend to exhibit sea surface temperature patterns similar to those of the PDO in a cold phase.
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).
Yet, whereas the
global climate models (GCMs)
tend to describe the
global climate statistics reasonably well, they do not provide a representative description of the local
climate.
The study, using complex
climate modeling software to simulate changes in forest cover and then measuring the impact on
global climate, found that northern forests
tend to warm the Earth because they absorb a lot of sunlight without losing much moisture.