Screen, J. A. & Francis, J. A. Contribution of sea ice loss to Arctic amplification is regulated by Pacific
Ocean decadal variability.
Not exact matches
A study led by scientists at the GEOMAR Helmholtz Centre for
Ocean Research Kiel shows that the ocean currents influence the heat exchange between ocean and atmosphere and thus can explain climate variability on decadal time sc
Ocean Research Kiel shows that the
ocean currents influence the heat exchange between ocean and atmosphere and thus can explain climate variability on decadal time sc
ocean currents influence the heat exchange between
ocean and atmosphere and thus can explain climate variability on decadal time sc
ocean and atmosphere and thus can explain climate
variability on
decadal time scales.
This
variability includes the Pacific
Decadal Oscillation (PDO), a long - lived El Niño - like pattern of Pacific climate
variability that works like a switch every 30 years or so between two different circulation patterns in the North Pacific
Ocean.
-- The Pacific
Decadal Oscillation is a pattern of
ocean - atmospheric climate variability across the mid-latitude Pacific O
ocean - atmospheric climate
variability across the mid-latitude Pacific
OceanOcean.
The Pacific
Decadal Oscillation is a pattern of
ocean - atmospheric climate variability across the mid-latitude Pacific O
ocean - atmospheric climate
variability across the mid-latitude Pacific
OceanOcean.
Decadal variability is a notable feature of the Atlantic
Ocean and the climate of the regions it influences.
We quantify the interannual - to -
decadal variability of the heat content (mean temperature) of the world
ocean from the surface through 3000 - meter depth for the period 1948 to 1998.
Or does he perhaps mean that slow components, like the
ocean, modulate the clouds, and the resulting cloud radiative forcing amplifies or damps the resulting interannual or
decadal variability?
Ice - sheet responses to
decadal - scale
ocean forcing appear to be less important, possibly indicating that the future response of the Antarctic Ice Sheet will be governed more by long - term anthropogenic warming combined with multi-centennial natural
variability than by annual or
decadal climate oscillations.»
Ocean and atmospheric indices — in this case the El Niño Southern Oscillation, the Pacific
Decadal Oscillation, the North Atlantic Oscillation and the North Pacific Oscillation — can be thought of as chaotic oscillators that capture the major modes of climate
variability.
Periods that are of possibly the most interest for testing sensitivities associated with uncertainties in future projections are the mid-Holocene (for tropical rainfall, sea ice), the 8.2 kyr event (for the
ocean thermohaline circulation), the last two millennia (for
decadal / multi-
decadal variability), the last interglacial (for ice sheets / sea level) etc..
I think the interesting question raised (though not definitively answered) by this line of work is the extent to which some of the pause in warming mid-century might have been more due to
decadal ocean variability rather than aerosols than is commonly thought.
(1) The «fast response» component of the climate system, consisting of the atmosphere coupled to a mixed layer upper
ocean, has very little natural
variability on the
decadal and longer time scale.
While that is possible, the so - called Pacific
Decadal Oscillation (PDO) index that is used to characterize decadal and multi-decadal variability of the Pacific Ocean has not shown a significant increasing or decreasing three - decade trend from the 1980's to the 2000's (it's dominated by quasi-decadal fluctuation since
Decadal Oscillation (PDO) index that is used to characterize
decadal and multi-decadal variability of the Pacific Ocean has not shown a significant increasing or decreasing three - decade trend from the 1980's to the 2000's (it's dominated by quasi-decadal fluctuation since
decadal and multi-
decadal variability of the Pacific Ocean has not shown a significant increasing or decreasing three - decade trend from the 1980's to the 2000's (it's dominated by quasi-decadal fluctuation since
decadal variability of the Pacific
Ocean has not shown a significant increasing or decreasing three - decade trend from the 1980's to the 2000's (it's dominated by quasi-
decadal fluctuation since
decadal fluctuation since 1980).
If you can't keep up with annual -
decadal changes in the TOA radiative imbalance or
ocean heat content (because of failure to correctly model changes in the atmosphere and
ocean due to natural
variability), then your climate model lacks fidelity to the real world system it is tasked to represent.
Either there's a large
decadal - scale internal
variability driving it, such as a large pseudo-cyclical increase in deepwater formation, or the Arctic
Ocean is near marginal stability under perturbation.
I agree that the models tend to show less
decadal ocean variability than observed (given the obvious caveats on the observational side), but absolutely disagree that this implies that longer term estimates are off.
While rereading the
ocean heat content changes by Levitus 2005 at http://www.nodc.noaa.gov/OC5/PDF/PAPERS/grlheat05.pdf a remarkable sentence was noticed: «However, the large decrease in
ocean heat content starting around 1980 suggests that internal
variability of the Earth system significantly affects Earth's heat balance on
decadal time - scales.»
Sevellec, F., and A. V. Fedorov, 2014b: Optimal excitation of AMOC
decadal variability: links to the subpolar
ocean.
«
Ocean Surface Temperature
Variability: Large Model - Data Differences at
Decadal and Longer Periods.»
At least part of the recent US drought is down to patterns of
ocean circulation that have
decadal to millennial
variability.
Ocean and atmospheric indices — in this case the El Niño Southern Oscillation, the Pacific
Decadal Oscillation, the North Atlantic Oscillation and the North Pacific Oscillation — can be thought of as chaotic oscillators that capture the major modes of northern hemisphere climate
variability.
The role of the Indian
Ocean, the stationarity of teleconnections, the determination of the leader ocean basin in driving decadal variability, the anthropogenic role, the reduction of the model rainfall spread, and the improvement of some model components are among the most important remaining questions that continue to be the focus of current international proj
Ocean, the stationarity of teleconnections, the determination of the leader
ocean basin in driving decadal variability, the anthropogenic role, the reduction of the model rainfall spread, and the improvement of some model components are among the most important remaining questions that continue to be the focus of current international proj
ocean basin in driving
decadal variability, the anthropogenic role, the reduction of the model rainfall spread, and the improvement of some model components are among the most important remaining questions that continue to be the focus of current international projects.
Roemmich et al (2007) suggest that mid-latitude gyres in all of the
oceans are influenced by
decadal variability in the Southern and Northern Annular Modes (SAM and NAM respectively) as wind driven currents in baroclinic
oceans (Sverdrup, 1947).
Tropical origins of North and South Pacific
decadal variability by Jeremy D. Shakun and Jeffrey Shaman makes some very interesting findings suggesting that both the northern and southern Pacific Ocean has evidence of the Pacific Decadal Variation PDV b
decadal variability by Jeremy D. Shakun and Jeffrey Shaman makes some very interesting findings suggesting that both the northern and southern Pacific
Ocean has evidence of the Pacific
Decadal Variation PDV b
Decadal Variation PDV being...
Other well - known modes of
variability include: The Antarctic oscillation; The Arctic oscillation; The Atlantic multidecadal oscillation; The Indian
Ocean Dipole; The Madden — Julian oscillation; The North Atlantic oscillation; The Pacific
decadal oscillation; The Pacific - North American teleconnection pattern; The Quasi-biennial oscillation.
Ocean and atmospheric indices — in this case the El Niño Southern Oscillation, the Pacific
Decadal Oscillation, the North Atlantic Oscillation and the North Pacific Oscillation — can be thought of as chaotic oscillators that capture the major modes of NH climate
variability.
Identify how anthropogenic forcing and natural atmosphere -
ocean variability contribute uniquely to
decadal timescale changes in the width of the tropical belt.
However, direct attribution of these changes to climate change is made difficult by long - term patterns of
variability that influence productivity of different parts of the
Ocean (e.g., Pacific
Decadal Oscillation).
The North Pacific
Decadal Variability (NPDV) is composed of two identified patterns of ocean v
Variability (NPDV) is composed of two identified patterns of
ocean variabilityvariability.
Strong
decadal climate
variability is a signature of the subpolar North Atlantic
Ocean, which is also home to the global overturning circulation.
«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.»»
In a recent paper, Sanchez - Franks and Zhang show that the underlying physical driver for the
decadal variability in the Gulf Stream path and the regional biogeochemical cycling is linked to the low - frequency
variability of the large - scale
ocean circulation in the Atlantic, also known as Atlantic meridional overturning circulation (AMOC).
And a better understanding of North Atlantic
Ocean dynamics is central to understanding Pacific
Ocean variability and vital in predicting how global mean temperatures may evolve on
decadal timescales.
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].
The model is actually based on
ocean and atmospheric indices — in this case the El Niño Southern Oscillation, the Pacific
Decadal Oscillation, the North Atlantic Oscillation and the North Pacific Oscillation — and can be thought of as chaotic oscillators that capture the major modes of climate
variability.
Now forced to explain the warming hiatus, Trenberth has flipped flopped about the PDO's importance writing «One of the things emerging from several lines is that the IPCC has not paid enough attention to natural
variability, on several time scales,» «especially El Niños and La Niñas, the Pacific
Ocean phenomena that are not yet captured by climate models, and the longer term Pacific
Decadal Oscillation (PDO) and Atlantic Multidecadal Oscillation (AMO) which have cycle lengths of about 60 years.»
Decadal variability is described via large - scale patterns found in the atmosphere and ocean, which oscillate at decadal timescales and are concentrated in specific regions (e.g., Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, Arctic and Antarctic Oscilla
Decadal variability is described via large - scale patterns found in the atmosphere and
ocean, which oscillate at
decadal timescales and are concentrated in specific regions (e.g., Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, Arctic and Antarctic Oscilla
decadal timescales and are concentrated in specific regions (e.g., Pacific
Decadal Oscillation, Atlantic Multidecadal Oscillation, Arctic and Antarctic Oscilla
Decadal Oscillation, Atlantic Multidecadal Oscillation, Arctic and Antarctic Oscillations).
Regional circulation patterns have significantly changed in recent years.2 For example, changes in the Arctic Oscillation can not be explained by natural variation and it has been suggested that they are broadly consistent with the expected influence of human - induced climate change.3 The signature of global warming has also been identified in recent changes in the Pacific
Decadal Oscillation, a pattern of
variability in sea surface temperatures in the northern Pacific
Ocean.4
It suggests that the
ocean's natural
variability and change is leading to
variability and change with enhanced magnitudes over the continents, causing much of the longer - time - scale (
decadal) global - scale continental climate
variability.
Other researchers are investigating
variability in the Pacific
Ocean, including a measure of sea surface temperatures known as the Pacific
Decadal Oscillation (PDO).
While there still is quite a bit of uncertainty surrounding the effects of the PDO on Earth's climate, the U.K. Met Office says that «
decadal variability in the Pacific
Ocean may have played a substantial role in the recent pause in global surface temperature rise.»
Latif, M., Martin, T. & Park, W. Southern
Ocean sector centennial climate
variability and recent
decadal trends.
... [T] his CESM - LE analysis further illustrates that
variability in CO2 flux is large and sufficient to prevent detection of anthropogenic trends in
ocean carbon uptake on
decadal timescales.»
Guest Post by Bob Tisdale The new paper by McCarthy et al. (2015)
Ocean impact on
decadal Atlantic climate
variability revealed by sea - level observations has gained some attention around the blogosphere.
Different approaches have been used to compute the mean rate of 20th century global mean sea level (GMSL) rise from the available tide gauge data: computing average rates from only very long, nearly continuous records; using more numerous but shorter records and filters to separate nonlinear trends from
decadal - scale quasi-periodic
variability; neural network methods; computing regional sea level for specific basins then averaging; or projecting tide gauge records onto empirical orthogonal functions (EOFs) computed from modern altimetry or EOFs from
ocean models.
Variations in tropical cyclones, hurricanes and typhoons are dominated by ENSO and
decadal variability, which result in a redistribution of tropical storm numbers and their tracks, so that increases in one basin are often compensated by decreases over other
oceans.
Present - day
ocean models do have some rudimentary capability to model El Nino - like
variability, but they are not yet able to reliably simulate
decadal - type
variability, even though 1000 - year climate runs exhibit
variability over a broad range of time scales.
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
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
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
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
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 Conclusions
There are large changes with the El Nino - Southern Oscillation and volcanoes as well step changes and
decadal variability to do with changes in cloud associated with changes in
ocean and atmospheric circulation.