A study using data taken from fossils and ice cores finds that long - term
temperature variability decreased four-fold from the Last Glacial Maximum (LGM) around 21,000 years ago to the start of the Holocene around 11,500 years ago.
Not exact matches
Results of both regional climate model simulations and observational analyses suggest that much of the observed rainfall increase — as well as the
decrease in
temperature and increase in humidity — is attributable to agricultural intensification in the central United States, with natural
variability and GHG emissions playing secondary roles.
Averaging smoothes out day - to - day and year - to - year natural weather
variability and extremes, removing much of the chaotic behavior, revealing any underlying long term trends in climate, such as a long term increase or
decrease in
temperature, or long term shifts in precipitation patterns.
Since CO2 isn't the only controller of
temperature, internal
variability can cause
temperatures to
decrease over these relatively short periods of time.
There is also a natural
variability of the climate system (about a zero reference point) that produces El Nino and La Nina effects arising from changes in ocean circulation patterns that can make the global
temperature increase or
decrease, over and above the global warming due to CO2.
An increase of daily
temperature variability is observed during the period 1977 to 2000 due to an increase in warm extremes, rather than a
decrease of cold extremes (Klein Tank et al., 2002; Klein Tank and Können, 2003).
[2] Specifically, an increase /
decrease in surface
temperature causes a corresponding increase /
decrease (not some vague changes, which might be read as
variability) in atmospheric CO2.
Those countries not in the tropics, many of them wealthy and highly developed, may see a
decrease in
temperature variability.
Variability of the El Niño / La Niña cycle, described as a Pacific Decadal Oscillation, largely accounts for the temporary
decrease of warming [18], as we discuss further below in conjunction with global
temperature simulations.
We also explore potential channels driving our results and find some evidence that increased
temperature variability can lead to a
decrease in health care and increased food insecurity during pregnancy.
Hasn't the latest Arctic research (e.g., Kobashi, et al., 2010; Rørvik, et al., 2009) shown that significant
variability of high latitude
temperatures on > 100 + year timescales have been the natural course of events over the last 1,000 to 1,500 years, all without benefit of increasing or
decreasing levels of atmospheric CO2?
Daily
temperature variability is actually
decreasing, in contrast to CMIP5 simulations and projections.
«Over relatively short, non-climate timescales (less than 20 - 30 years), these patterns of natural
variability can lead to all kinds of changes in global and regional near - surface air
temperature: flat, increasing, or even
decreasing trends,»
In addition to this natural
variability, humans have perturbed climate by increasing atmospheric CO2 concentrations, which have increased ocean
temperatures, water column stratification, hypoxia, and water column anoxia and have
decreased surface ocean pH [6], [7].
If it's a mode of
variability that averages to zero in the long run, then it will alternatively increase and
decrease the rate of warming and my have little impact on the
temperature around the turn of the next century.