This study seeks to explain the effects of cloud on changes in atmospheric radiative absorption that largely balance changes in global
mean precipitation under climate change.
They discussed the effect of variables being non-iid on the extreme value analysis, and after taking that into account, propose that changes in extreme precipitation are likely to be larger than the corresponding changes in annual
mean precipitation under a global warming.
Not exact matches
Here's the problem forests and forest managers face
under climate change: Increasing global
mean temperatures, changes in
precipitation, and the hydrologic cycle are expected to lead to temperature and drought stress for many tree species.
AOGCM experiments suggest that global - average annual
mean precipitation will increase on average by 1 to 3 % / °C
under the enhanced greenhouse effect (Figure 9.18).
Choi and Fisher (2003) estimated the expected change in flood damages for selected USA regions
under two climate - change scenarios in which
mean annual
precipitation increased by 13.5 % and 21.5 %, respectively, with the standard deviation of annual
precipitation either remaining unchanged or increasing proportionally.
It provided the most likely future evolution of the global
mean temperature
under different socio - economic scenarios and that of other quantities like regional
precipitation changes.
These figures illustrate the way the probability distribution of future global
mean temperature change
under a high - emissions scenario is linked to different potential changes in temperature and
precipitation at a county - level.
Further,
under a scenario of strongly elevated greenhouse forcing, Neelin et al. (31) found a modest increase in California
mean December — January — February (DJF)
precipitation associated with a local eastward extension of the
mean subtropical jet stream west of California.