Veldkamp, T.I.E., S. Eisner, Y. Wada, J.C.J.H. Aerts, and P.J. Ward, 2015: Sensitivity of water scarcity events to ENSO driven climate
variability at the global scale.
Not exact matches
I think it's worth understanding that the author is assessing climate
variability from an entirely regional perspective, a
scale at which the
global warming signal is much harder to detect.
Even if it were real physical
variability,
at that short time
scale I would not expect it to be linked to
global temperature in the way that I expect this link on longer time
scales.
The study demonstrates the importance of understanding how climate
variability on a regional
scale may
at least temporarily obscure larger forces acting on the
global climate system.
``... My comments quoted above refer very specifically to the potential for
global models to give more precise probability distributions of outcomes
at the regional and decadal
scales which are dominated by intrinsic interannual and interdecadal
variability.»
However, my comments quoted above refer very specifically to the potential for
global models to give more precise probability distributions of outcomes
at the regional and decadal
scales which are dominated by intrinsic interannual and interdecadal
variability.
Individual decadal - resolution palaeoclimatic data sets support the existence of regional quasi-periodic climate
variability, but it is unlikely that these regional signals were coherent
at the
global scale.
However, models would need to underestimate
variability by factors of over two in their standard deviation to nullify detection of greenhouse gases in near - surface temperature data (Tett et al., 2002), which appears unlikely given the quality of agreement between models and observations
at global and continental
scales (Figures 9.7 and 9.8) and agreement with inferences on temperature
variability from NH temperature reconstructions of the last millennium.
Global and regional climate models have not demonstrated skill
at predicting regional and local climate change and
variability on multi-decadal time
scales.
The Regional Climate Impacts theme stresses the need to explain and interpret the potential impacts of
global climate
variability and change
at the regional and community
scale.
This paper reviews advances made during the last decade to better understand the impact of
global SST
variability on West African rainfall
at interannual to decadal time
scales.
(A) coordinate programs
at the National Oceanic and Atmospheric Administration to ensure the timely production and distribution of data and information on
global, national, regional, and local climate
variability and change over all time
scales relevant for planning and response, including intraseasonal, interannual, decadal, and multidecadal time periods;
The 25 D - O events during the last glacial, where temperatures rose and fell by 5 to 10 degrees C (10 - 15 degrees C for Greenland) within a span of decades that were «explained by internal
variability of the climate system alone ``, deemed
global in
scale, and they occurred without any changes in CO2 concentrations, which stayed steady
at about 180 ppm throughout the warming and cooling.
However, changes in climate
at the
global scale observed over the past 50 years are far larger than can be accounted for by natural
variability.
Exactly, but using good numbers not a «hotchpotch assembly» for which it is claimed to be
global temperature (there is no such thing, there is
global energy content, but that is totally different story) So calculate correlation CET - GT from 1880 using 5 year bin averaging http://www.vukcevic.talktalk.net//CETGNH.htm P.S. your statement on natural
variability on decadal
scale is grossly misleading, you got about 130 years of good records so you need to look
at multi-decadal picture.
In other words, trends and / or
variability in larger -
scale features of the climate (including rising temperature from
global warming) are not very strongly (if
at all) related to regional and temporal characteristics of streamflows across the U.S.
The results provide, for the first time,
global observational evidence for the barotropic nature of large -
scale ocean
variability at mid and high latitudes.
Essentially, one needs to show that the behaviour of the climatic signal is distinct from that generated by natural climate
variability in the past, when human effects were negligible,
at least on the
global scale.
My favorite quote from that paper is: «Because ENSO is the dominant mode of climate
variability at interannual time
scales, the lack of consistency in the model predictions of the response of ENSO to
global warming currently limits our confidence in using these predictions to address adaptive societal concerns, such as regional impacts or extremes (Joseph and Nigam 2006; Power et al. 2006).»