Under most scenarios of late 20th century and future anthropogenic radiative forcing, a steady, rather than accelerating, rise in global and hemispheric mean temperature is
predicted over timescales of decades.
Not exact matches
The team
predicted that pore number would decline, in line with past research
over geological
timescales using fossil plants.
All the data that I'm aware clearly shows that models
predicting or hindcasting global temperature trends do far better at 30 year
timescales than annually or
over only a few years.
report that ocean sediment cores containing an «undisturbed history of the past» have been analyzed for variations in PP
over timescales that include the Little Ice Age... they determined that during the LIA the ocean off Peru had «low PP, diatoms and fish,» but that «at the end of the LIA, this condition changed abruptly to the low subsurface oxygen, eutrophic upwelling ecosystem that today produces more fish than any region of the world's oceans... write that «in coastal environments, PP, diatoms and fish and their associated predators are
predicted to decrease and the microbial food web to increase under global warming scenarios,» citing Ito et al..
I won't claim to know what specifics should go into programming these models, but I do know it will be critical for model developers to publish the characteristics their models are expected to
predict, within what margin of error,
over what
timescales, before the outputs of the models will be widely accepted.
«The only way to
predict the day - to - day weather and changes to the climate
over longer
timescales is to use computer models.»
Because of the time lags involve in the climate system, short - term changes can be very difficult to
predict, but
over a long enough
timescale, these kinds of effects become all but certain.