Finally, the role of large - scale climate
modes of variability for APDF magnitude and timing in the basin will be briefly discussed.
Not exact matches
For example we know that the major
modes of climate
variability such as the El Nino Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) project strongly onto Antarctic sea ice
variability.
Substitute the words «
modes of natural climate
variability»
for «electricity and magnetism,» and well..., hopefully the point is made.
, but a suggestion
for avoiding coupling shock: take a large number
of model runs;
for each assign a location in some n - space
for indices
of the more important
modes of (internal)
variability (but maybe also include indices
for timing relative to and magnitude
of eruptions, solar cycles, etc.).
The paper... offers a useful framework
for which decadal variations in the global (or northern hemisphere) may be explained via large scale
modes of oceanic
variability.
The possible importance
of (forced or unforced)
modes of variability within the climate system,
for instance related to the deep ocean circulation, have also been highlighted (Bianchi and McCave, 1999; Duplessy et al., 2001; Marchal et al., 2002; Oppo et al., 2003).
The authors conclude that the there is a higher retreat - rate
for marine terminating glaciers in the recent warm period; in the 1930s when there is a natural
mode of variability active that caused regional temperatures around Greenland to be anomalously warm, there was a higher retreat rate
for land - terminating glaciers (the lower retreat rate today is in part because they are currently smaller).
The study confirms previous similar evaluations and raises concern
for the ability
of current climate models to simulate the response
of a major
mode of global circulation
variability to external forcings.
As an intrinsic
mode of variability of the large - scale atmospheric circulation, the NAO requires no external forcing
for excitation (e.g., Hurrell and Deser 2009; Branstator and Selten 2009).
«The authors write that North Pacific Decadal
Variability (NPDV) «is a key component in predictability studies
of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree
of predictability
of these two
modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics
of the North Pacific Ocean
modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «
for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency
of either the first or second leading pattern
of North Pacific SST anomalies,» and they say that «the lack
of a consensus in changes in either
mode also affects confidence in projected changes in the overlying atmospheric circulation.»»
These
modes last
for 20 to 40 years — so we are looking at another 10 to 30 years
of no warming and there is nothing to suggest that this is the limit
of ENSO
variability.
In the summary
of climate model performance in Chapter 9 and expected future changes
of climate patterns in Chapter 14, the report cites Furtado et al. (2011)
for its comprehensive model evaluation
of the Pacific
modes of climate
variability.
Moreover, 370 years
of tropical cyclone data from the Lesser Antilles (the eastern Caribbean island chain that bisects the main development region
for landfalling U.S. hurricanes) show no long - term trend in either power or frequency but a 50 - to 70 - year wave pattern associated with the Atlantic Multidecadal Oscillation, a
mode of natural climate
variability.
Tsonis uses a mathematical test
for resonance between
modes of climate
variability to discover a new dynamical mechanism in climate.
Given that the past 30 — 50 years is a relatively short period
for evaluating long - term trends, the SST trends themselves could be viewed as a manifestation
of large - scale
modes of multidecadal Pacific
variability (e.g. Zhang et al. 1997; Deser et al. 2004) or as part
of the century scale positive SST trends associated with climate change (e.g. Deser et al. 2010); it is likely that both multidecadal climate
variability and climate change have contributed to the SST trend pattern evident in Fig. 9 and used to force the model.
We show that the
modes responsible
for the tropospheric AOT
variability in the three datasets agree well in terms
of correlation and spatial patterns.
The Principal Component Analysis (PCA)
of the newly extended GACP record shows that most
of the volcanic AOT
variability can be isolated into one
mode responsible
for ∼ 12 %
of the total variance.
b) failure
of the climate models to predict a > 17 year plateau raises questions about the suitability
of the climate models
for detection and attribution analyses, particularly in terms
of accounting adequately
for multidecadal
modes of climate
variability...
The argument is
for a better understanding
of natural
modes of climate
variability.
There are also other natural «
modes of variability» which may be affected by a climate change,
for instance if the heat transport in the oceans are to change (e.g. the Atlantic meridional overturning circulation AMOC).
For late - 20th century warming to be attributed to natural variability, you'd need (a) a previously unknown mode (b) that shared all or most of the observed structure of recent temperature changes (c) with perhaps observation error accounting for the rest of
For late - 20th century warming to be attributed to natural
variability, you'd need (a) a previously unknown
mode (b) that shared all or most
of the observed structure
of recent temperature changes (c) with perhaps observation error accounting
for the rest of
for the rest
of it.
Results show that the Interdecadal Pacific Oscillation (IPO) is the leading
mode of SAMOC - SST covariability, explaining approximately 85 %, with the Atlantic Niño accounting
for less than 10 %
of the
variability.