But to date,
when climate modelers try to project future warming for the Arctic, the numbers are lower than expected; for reasons not yet fully understood, they don't reflect the region's accelerating warming.
Not exact matches
Gavin Schmidt, a
climate scientist and
modeler at the NASA Goddard Institute for Space Studies, said this sort of research is useful for
modelers, who can take these results and see whether they show up
when they run their models.
When modelers want to predict the future movement of a particular species, they first establish a set of conditions — in terms of
climate, soil quality and other variables — under which that species is likely to thrive.
«
When we think about global warming, what we should really thinking about, to be honest, is ocean warming,» said Paul Durack, a
climate modeler at Lawrence Livermore National Laboratory (LLNL).
To reconstruct accurate
climate records for the past and forecast
climate changes for the future,
modelers need to know just how passive trees really are
when it comes to air temperature.
A scientist would never focus on ONLY one variable, CO2, probably a very minor variable with no correlation with average temperature,
when there are dozens of variables affecting Earth's
climate... and then further focus only on manmade CO2, for political reasons (only that 3 % of all atmospheric CO2 can be blamed on humans... which is the goal of
climate modelers... along with getting more government grants.)
Worse than that the
climate modelers aren't familiar with what's needed to «draw» an algoritm to be used in computer - systemprogramming...... Please let us know where they spent their days
when others listen to tutors and learnt.
Of course, this kind of uncertainty is why
climate modelers don't presume to «predict» at all and get irritated
when model scenarios are taken as predictions.
Nearly a decade ago,
when I first started looking into
climate science, I began to suspect the
modelers were using what I call a «plug» variable.
When designing a
climate model, the
modeler has to make many choices.
And in fact
when you look at the scientific literature, it's an interesting disconnect because the
modelers who study emissions and how to control those emissions are generally much more comfortable setting goals in terms of carbon dioxide and other greenhouse gas concentrations because that comes more or less directly out of their models and is much more proximate or more closely connected to what humans actually do to screw up the
climate in the first place, which is emit these greenhouse gases.
When will these
modelers finally realize that, in their myopic fixation on human GHGs (especially CO2), they have programmed in a
climate sensitivity that is exaggerated by a factor of at least 2?
That's really a minimal requirement
when one considers the contortions
climate modelers go through in order to reproduce the curve of the 20th century surface temperature anomalies.
When dead - nuts fidelity to reality matters, everyone — including
climate modelers — remembers that ε is not constant for all materials at any given wavelength.