The models show no meaningful
decadal scale temperature variability.
Not exact matches
There are three main time
scales to consider when it comes to warming: annual
temperature variation from factors like warming in the Pacific Ocean during El Niño years,
decadal temperature swings and long - term
temperature increases from global warming.
The ocean factors included upwelling of nutrient - rich water and the Pacific
Decadal Oscillation, a large -
scale marine
temperature pattern.
The Pacific
Decadal Oscillation (PDO), marked by
temperature fluctuations in the northern Pacific Ocean on a
scale of 40 to 60 years, also plays a role.
Bottom - water
temperature and current velocities have also fluctuated in relation to
decadal — millennial
scale climatic changes during the last de-glaciation and Holocene (Bianchi and McCave, 1999; Marchitto and deMenocal, 2003; Farmer et al., 2011; Cronin et al., 2012).
New research published this week in the Journal of Climate reveals that one key measurement — large -
scale upper - ocean
temperature changes caused by natural cycles of the ocean — is a good indicator of regional coastal sea level changes on these
decadal timescales.
The Atlantic Multidecadal Oscillation (AMO), Pacific
Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), and El Niño - Southern Oscillation (ENSO) have all been found to significantly influence changes in surface air temperature and rainfall (climate) on decadal and multi-decadal scales, and these natural ocean oscillations have been robustly connected to changes in solar ac
Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), and El Niño - Southern Oscillation (ENSO) have all been found to significantly influence changes in surface air
temperature and rainfall (climate) on
decadal and multi-decadal scales, and these natural ocean oscillations have been robustly connected to changes in solar ac
decadal and multi-
decadal scales, and these natural ocean oscillations have been robustly connected to changes in solar ac
decadal scales, and these natural ocean oscillations have been robustly connected to changes in solar activity.
So apparently you're suggesting that
decadal -
scale precipitation patterns (more, less rainfall) and
temperature changes are better explained by atmospheric CO2 concentrations.
The interannual relationship between North American (NA) winter
temperature and large -
scale atmospheric circulation anomalies and its
decadal variation are analyzed.
Spectral analyses suggested that the reconstructed annual mean
temperature variation may be related to large -
scale atmospheric — oceanic variability such as the solar activity, Pacific
Decadal Oscillation (PDO) and El Niño — Southern Oscillation (ENSO).
Although I might not take it for granted that the horizontal homogeneity of
temperature due to the dynamic adjustment in the tropics would guarantee the horizontally uniform
temperature changes in the
decadal scale, the data do show it!
«The forecast for global mean
temperature which we published highlights the ability of natural variability to cause climate fluctuations on
decadal scale, even on a global
scale.
But I would suppose that equilibrium climate sensitivity [background] and even global mean surface
temperature on a
decadal scale could be better nailed down by model pruning and better ocean data.
Next point, changes in volcanic activity can affect
decadal and century -
scale temperatures due to the random occurence of eruptions of the right sort (though I don't think you dispute that).
I don't know if there may be something to accounting for surface / ocean trends on
decadal scales, but I was interested in the possibility in light of the recent «haiatus» in surface
temperatures.
The amplitudes of the pre-industrial,
decadal -
scale NH
temperature changes from the proxy - based reconstructions (< 1 °C) are broadly consistent with the ice core CO2 record and understanding of the strength of the carbon cycle - climate feedback.
«The ECS series was never created to examine annual, or even
decadal, time -
scale temperature variability.
Models all produce natural variability, many of which show
temperature flatlines over
decadal timescales, and given the wide importance of natural variability over < 10 year time
scales and uncertain forcings, one can absolutely not claim that this is inconsistent with current thinking about climate.
Much of the inter-annual to
decadal scale variability in surface air
temperature (SAT) anomaly patterns and related ecosystem effects in the Arctic and elsewhere can be attributed to the superposition of leading modes of variability in the atmospheric circulation.
A cold phase transition, which the historical record indicates can occur quite rapidly with large secular
temperature changes on a
decadal time
scale, would truly be a catastrophe.
On the one hand you say «I don't know how to assess skill of
decadal trends» and on the other hand you also claim that the «prediction of mean
temperature at the regional
scale can be done fairly well given the robust
temperature trend».
However, this relationship (which, contrary to the claim of MFC09, is simulated by global climate models, e.g. Santer et al. [2001]-RRB- can not explain
temperature trends on
decadal and longer time
scales.»
-LSB-...] That industrial carbon dioxide is not the primary cause of earth's recent
decadal -
scale temperature changes doesn't seem at all odd to many thousands of independent scientists.
Ocean cycles in large part drive the global
temperature over year and
decadal scales.
Method 1: «The composite - plus -
scale (CPS) method, «a dozen proxy series, each of which is assumed to represent a linear combination of local
temperature variations and an additive «noise» component, are composited (typically at
decadal resolution;...) and
scaled against an instrumental hemispheric mean
temperature series during an overlapping «calibration» interval to form a hemispheric reconstruction.
The Earth's
temperature has warmed in the modern era as a consequence of the strong solar activity during the 20th century (the Modern Maximum) shielding cosmic ray intensification and thus reducing
decadal -
scale cloud cover, which leads to warming via an increase in absorbed surface solar radiation (as illustrated here by Ogurtsov et al., 2012 and detailed by Avakyan, 2013, McLean, 2014, and others).
Also notice that far more conspicuous rises and falls in
temperatures in
decadal and centennial
scale occurred during the Holocene than now.
He theorizes that the Earth's
temperature has warmed in the modern era as a consequence of the strong solar activity during the 20th century (the Modern Maximum) shielding cosmic ray intensification and thus reducing
decadal -
scale cloud cover, which leads to warming via an increase in absorbed surface solar radiation (as illustrated here by Ogurtsov et al., 2012 and detailed by Avakyan, 2013, McLean, 2014, and others).
My calculations show that combining heliospheric magnetic field (controlling input of the cosmic rays basis of the Svensmark's theory) with changes in the Earth's magnetic field indeed shows close correlation with the
temperature variability in the N. Hemisphere on the annual,
decadal and multi-
decadal scale.
That industrial carbon dioxide is not the primary cause of earth's recent
decadal -
scale temperature changes doesn't seem at all odd to many thousands of independent scientists.
The large interannual to
decadal hydroclimatic variability in winter precipitation is highly influenced by sea surface
temperature (SST) anomalies in the tropical Pacific Ocean and associated changes in large -
scale atmospheric circulation patterns [16].
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.
Temperature variations at Lake Qinghai on
decadal scales and the possible relation to solar activities, Hai Xu, Xiaoyan Liu, Zhaohua Hou, 01/2008, Journal of Atmospheric and Solar - Terrestrial Physics, Volume 70, Issue 1, pp. 138 - 144
Environmental variables estimated over larger spatial and temporal
scales included the upwelling index (UI) for 48 ° N, 125 ° W (http://www.pfeg.noaa.gov), an indicator of upwelling strength based on wind stress measurements, as well as the Pacific
Decadal Oscillation (PDO, http://jisao.washington.edu/pdo/PDO.latest), a composite indicator of ocean
temperature anomalies [33], seawater
temperature from Buoy 46041 ∼ 50 km to the southwest from Tatoosh (www.ndbc.noaa.gov), and remote sensing of chl a (SeaWiFS, AquaModis).
In the case of the upper water in most oceans including the North Atlantic inflow, that
temperature is increasing on the same
decadal time
scales as this ice loss.
All indications are that such input is insufficient to account for the extra thermal energy as reflected in the measured
temperatures on
decadal or century
scale.
I will also add this that looks at seasonal
temperatures on a more fine - grained
decadal scale than the one you linked.
The small pre-industrial greenhouse gas variations also provide indirect evidence for a limited range of
decadal - to centennial -
scale variations in global
temperature
Unforced variability of global
temperature is great, as shown in Figure 4, but the global
temperature trend on
decadal and longer time
scales is now determined by the larger human - made climate forcing.
The CET data for the period indicate a distinct climate shift of some 0.35 degrees centigrade on a 50 year basis, but rather more on a
decadal basis, so that well documented era can usefully be our benchmark for
temperature comparisons, whilst demonstrating the usefulness of a
decadal time
scale in determining a change in the climate that is «noticeable» and has an impact on humans and nature.
The
decadal -
scale variability reflected in the
temperature reconstruction from tree rings may well be superimposed over this warmer baseline, but the warmth still would not likely match the observed average maximum
temperatures over the past decade (17.54 °C mean maximum average for 1999 — 2008, Fort Valley, AZ, Western Regional Climate Center)(Table S1).
Likewise, a statistician will not automatically be aware of the difference between proxies of low resolution (which may be good at estimating average
temperature on a
decadal or even centennial
scale) and proxies of high resolution that are good at estimating
temperature at a yearly level.
«Pooled all of the Holocene global
temperature anomalies into a single histogram, showing the distribution of global
temperature anomalies during the Holocene, including the
decadal - to century
scale high - frequency variability...»
Cahalan, R. F., Wen, G. Y., Harder, J. W. & Pilewskie, P.
Temperature responses to spectral solar variability on
decadal time
scales.
A recent analysis of a number of different proxy
temperature records suggests that Northern Hemisphere
decadal -
scale averages over land may have been as much as approximately 0.2 — 0.4 °C above the 1850 — 2006 mean from roughly 950 — 1150 AD (32).
It argues that Global Climate Models (GCMs) that show
decadal -
scale pauses in surface
temperature warming tend to exhibit sea surface
temperature patterns similar to those of the PDO in a cold phase.
It is evident that the two curves equally well reconstruct the climate variability from 1850 to 2011 at the
decadal / multidecadal
scales, as the gray
temperature smooth curve highlights, with an average error of just 0.05 °C.
With a simple regression model based on the four cycles (about 9.1, 10, 20 and 60 year period) plus an upward trend, that can be geometrically captured by a quadratic fit of the
temperature, in the paper I have proved that all GCMs adopted by the IPCC fail to geometrically reproduce the detected
temperature cycles at both
decadal and multidecadal
scale.
9.3.1 Global Mean Response 9.3.1.1 1 % / yr CO2 increase (CMIP2) experiments 9.3.1.2 Projections of future climate from forcing scenario experiments (IS92a) 9.3.1.3 Marker scenario experiments (SRES) 9.3.2 Patterns of Future Climate Change 9.3.2.1 Summary 9.3.3 Range of
Temperature Response to SRES Emission Scenarios 9.3.3.1 Implications for temperature of stabilisation of greenhouse gases 9.3.4 Factors that Contribute to the Response 9.3.4.1 Climate sensitivity 9.3.4.2 The role of climate sensitivity and ocean heat uptake 9.3.4.3 Thermohaline circulation changes 9.3.4.4 Time - scales of response 9.3.5 Changes in Variability 9.3.5.1 Intra-seasonal variability 9.3.5.2 Interannual variability 9.3.5.3 Decadal and longer time - scale variability 9.3.5.4 Summary 9.3.6 Changes of Extreme Events 9.3.6.1 Temperature 9.3.6.2 Precipitation and convection 9.3.6.3 Extra-tropical storms 9.3.6.4 Tropical cyclones 9.3.6.5 Commentary on changes in extremes of weather and climate 9.3.6.6
Temperature Response to SRES Emission Scenarios 9.3.3.1 Implications for
temperature of stabilisation of greenhouse gases 9.3.4 Factors that Contribute to the Response 9.3.4.1 Climate sensitivity 9.3.4.2 The role of climate sensitivity and ocean heat uptake 9.3.4.3 Thermohaline circulation changes 9.3.4.4 Time - scales of response 9.3.5 Changes in Variability 9.3.5.1 Intra-seasonal variability 9.3.5.2 Interannual variability 9.3.5.3 Decadal and longer time - scale variability 9.3.5.4 Summary 9.3.6 Changes of Extreme Events 9.3.6.1 Temperature 9.3.6.2 Precipitation and convection 9.3.6.3 Extra-tropical storms 9.3.6.4 Tropical cyclones 9.3.6.5 Commentary on changes in extremes of weather and climate 9.3.6.6
temperature of stabilisation of greenhouse gases 9.3.4 Factors that Contribute to the Response 9.3.4.1 Climate sensitivity 9.3.4.2 The role of climate sensitivity and ocean heat uptake 9.3.4.3 Thermohaline circulation changes 9.3.4.4 Time -
scales of response 9.3.5 Changes in Variability 9.3.5.1 Intra-seasonal variability 9.3.5.2 Interannual variability 9.3.5.3
Decadal and longer time -
scale variability 9.3.5.4 Summary 9.3.6 Changes of Extreme Events 9.3.6.1
Temperature 9.3.6.2 Precipitation and convection 9.3.6.3 Extra-tropical storms 9.3.6.4 Tropical cyclones 9.3.6.5 Commentary on changes in extremes of weather and climate 9.3.6.6
Temperature 9.3.6.2 Precipitation and convection 9.3.6.3 Extra-tropical storms 9.3.6.4 Tropical cyclones 9.3.6.5 Commentary on changes in extremes of weather and climate 9.3.6.6 Conclusions
These linear discriminants, which consist of an RASST anomaly field and a time series that describes the projection of that anomaly in the annual mean RASST field, maximize the ratio of inter-
decadal to inter-annual variability, in keeping with our desire to understand the
decadal - to - century
scale variability in the global mean surface
temperatures (see SI Text and Figs.