Since 2009, US CLIVAR has collaborated with the OCB Program, whose mission is to study the impact
of oceanic variability in the global carbon cycle in the face of environmental variability and change.
Climate models provide a means to derive such a link, under the assumption that the current generation of climate models captures the essence of the signature
of oceanic variability on the global mean temperature.
In order to make the most accurate estimates
of oceanic variability, it is necessary to combine different types of data into a single consistent field.
The mechanism by which the effect
of oceanic variability over time is transferred to the atmosphere involves evaporation, conduction, convection, clouds and rainfall the significance of which has to date been almost entirely ignored due to the absence of the necessary data especially as regards the effect of cloudiness changes on global albedo and thus the amount of solar energy able to enter the oceans.
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.
Not exact matches
Monitoring, understanding, and predicting
oceanic variations associated with natural climate
variability and human - induced changes, and assessing the related roles
of the ocean on multiple spatial - temporal scales.
Changes here have a long term effect, affecting the strength
of the north - ward horizontal flow
of the Atlantic's upper warm layer, thereby altering the
oceanic poleward heat transport and the distribution
of sea surface temperature (SST — AMO), the presumed source
of the (climate) natural
variability.
Nature (with hopefully some constructive input from humans) will decide the global warming question based upon climate sensitivity, net radiative forcing, and
oceanic storage
of heat, not on the type
of multi-decadal time scale
variability we are discussing here.
These variables include volcanic outgassing, Malankovich cycles, tectonic plate movements, solar
variability, meteor impacts, comet tails, albedo,
oceanic circulation, topography, a variety
of hidden threshold effects, biological evolution and human technology.»
It is clearly established that climate
variability affects the
oceanic content
of natural and anthropogenic DIC and the air - sea flux
of CO2, although the amplitude and physical processes responsible for the changes are less well known.
It is becoming increasingly clear that even if everything else I suggest is wrong we would still not be able to identify the tiny climate effect
of our emissions as compared to that from solar and
oceanic variability.
In fact, they may do so more efficiently than more uniform temperature change; warming one hemisphere with respect to the other is an excellent way
of pulling monsoonal circulations and
oceanic ITCZs towards the warm hemisphere (the last few years have seen numerous studies
of this response, relevant for ice ages and aerosol forcing as well as the response to high latitude internal
variability; Chiang and Bitz, 2005 is one
of the first to discuss this, in the ice age context; I'll try to return to this topic in a future post.)
These results contradict the notion that
oceanic variability is mostly baroclinic at interannual periods, regardless
of location or spatial scale.
«On forced temperature changes, internal
variability, and the AMO» «Tracking the Atlantic Multidecadal Oscillation through the last 8,000 years» «The Atlantic Multidecadal Oscillation as a dominant factor
of oceanic influence on climate» «The role
of Atlantic Multi-decadal Oscillation in the global mean temperature
variability» «The North Atlantic Oscillation as a driver
of rapid climate change in the Northern Hemisphere» «The Atlanto - Pacific multidecade oscillation and its imprint on the global temperature record» «Imprints
of climate forcings in global gridded temperature data» «North Atlantic Multidecadal SST Oscillation: External forcing versus internal
variability» «Forced and internal twentieth - century SST trends in the North Atlantic» «Interactive comment on «Imprints
of climate forcings in global gridded temperature data» by J. Mikšovský et al.» «Atlantic and Pacific multidecadal oscillations and Northern Hemisphere temperatures»
«Despite recent advances in the state
of the global ocean observing system, estimating
oceanic variability on basin - wide to global scales remains difficult.
Requires the Climate Service Program to: (1) analyze the effects
of weather and climate on communities; (2) carry out observations, data collection, and monitoring
of atmospheric and
oceanic conditions; (3) provide information and technical support to governmental efforts to assess and respond to climate
variability and change; (4) develop systems for the management and dissemination
of data; (5) conduct research to improve forecasting and understanding
of weather and climate
variability and change and its effects on communities; and (6) develop tools to facilitate the use
of climate information by local and regional stakeholders.
Three
of these five intervals coincided with multidecadal hemispheric climate - regime shifts, which were characterized by a switch between distinct atmospheric and
oceanic circulation patterns, a reversal
of NHT trend, and by altered character
of ENSO
variability.
«This paper provides an update to an earlier work that showed a foreshadowing
of such climate shifts in the time evolution
of major Northern Hemispheric atmospheric and
oceanic modes
of variability [Tsonis et al., 2007].
Sea ice with its strong seasonal and interannual
variability (Fig. 1) is a very critical component
of the Arctic system that responds sensitively to changes in atmospheric circulation, incoming radiation, atmospheric and
oceanic heat fluxes, as well as the hydrological cycle1, 2.
Combining the limitations
of this data with the (interannual)
variability in atmospheric and
oceanic conditions between now and September 2008 leaves a wide range
of scenarios open for how sea ice conditions may develop throughout the summer.
Atmospheric and
oceanic variability in the Arctic shows the existence
of several oscillatory modes.
This Section places particular emphasis on current knowledge
of past changes in key climate variables: temperature, precipitation and atmospheric moisture, snow cover, extent
of land and sea ice, sea level, patterns in atmospheric and
oceanic circulation, extreme weather and climate events, and overall features
of the climate
variability.
Together the
oceanic upwelling in the north and south Pacific and the movement
of atmospheric mass from and to the poles provide almost all
of the decadal
variability in Earth's climate.
iv) The change in surface pressure distribution to dispose
of the effects
of more CO2 would be unmeasurable and unnoticeable compared to the observed historical shifts from solar and
oceanic variability.
The results indicate that the surface ocean pCO2 trend is generally consistent with the atmospheric increase but is more variable due to large - scale interannual
variability of oceanic processes.
The academic art
of misdirection: Folks, ignore all those crazy climate variables like water vapor, clouds, solar and
oceanic variability, that have been the drivers
of climate since the beginning
of time («still poorly understood» IPCC AR4).
The
oceanic oscillations dominated the 20th Century with a spotted sun dogging them, and driving them; if this new
variability of the sunspots presage global cooling, as it did in the Maunder, we may cool for a century or more.
A good place to start in comprehending the high
variability of temperatures and sea ice in the Arctic is the recognition that, at those latitudes, the available heat comes primarily from
oceanic and atmospheric advection, rather than local thermalization
of insolation.
US CLIVAR is collaborating with the ocean carbon and biogeochemistry science community to increase observations and understanding
of the coupled physical / biogeochemical processes that maintain the marine ecosystem and
oceanic sources and sinks
of carbon and predict how they will evolve in response to climate
variability and change.
The most likely candidate for that climatic variable force that comes to mind is solar
variability (because I can think
of no other force that can change or reverse in a different trend often enough, and quick enough to account for the historical climatic record) and the primary and secondary effects associated with this solar
variability which I feel are a significant player in glacial / inter-glacial cycles, counter climatic trends when taken into consideration with these factors which are, land / ocean arrangements, mean land elevation, mean magnetic field strength
of the earth (magnetic excursions), the mean state
of the climate (average global temperature), the initial state
of the earth's climate (how close to interglacial - glacial threshold condition it is) the state
of random terrestrial (violent volcanic eruption, or a random atmospheric circulation /
oceanic pattern that feeds upon itself possibly) / extra terrestrial events (super-nova in vicinity
of earth or a random impact) along with Milankovitch Cycles.
The problems we are working on range from basic studies
of circulation patterns
of water in the ocean and groundwater flow systems to the
variability of the
oceanic circulation under natural and anthropogenically forced conditions or the transport and transformation
of contaminants.
They are the already mentioned ~ 2400 year Bray solar
variability cycle, a ~ 1500 year
oceanic cycle that might be related to the D - O cycle
of glacial periods, and the ~ 1000 year Eddy solar
variability cycle.
«This paper provides an update to an earlier work that showed specific changes in the aggregate time evolution
of major Northern Hemispheric atmospheric and
oceanic modes
of variability serve as a harbinger
of climate shifts.
Interestingly the
oceanic timescales tie in nicely with the length
of the THC
of around 1000 years and the observed levels
of solar
variability such as MWP to date which is also around 1000 years.
Additionally, such an observing system, by measuring the temporal and spatial
variability of the AMOC for approximately a decade, would provide essential ground truth to AMOC model estimates and would also yield insight into whether AMOC changes or other atmospheric /
oceanic variability have the dominant impact on interannual sea surface temperature (SST)
variability.
The inter-decadal time scale
of tropical Indo - Pacific SST
variability is likely due to
oceanic processes.
In the meantime, their results have tentatively breathed a small hint
of life back into the climate models, basically buying them a bit more time — time for either the observed temperatures to start rising rapidly as current models expect, or, time for the modelers to try to fix / improve cloud processes,
oceanic processes, and other process
of variability (both natural and anthropogenic) that lie behind what would be the clearly overheated projections.
iii) You need to smooth the solar cycles not just the sunspot numbers but it isn't a long enough period anyway because
of the disruptive effects
of the lesser solar and
oceanic cycles and natural chaotic
variability.
I appreciate the time you have put into that but I don't think 1860 is far enough back to remove the obscuring effects
of the lesser solar and
oceanic cycles and chaotic internal system
variability.
However, O'Brien and colleagues found that this result is highly uncertain because the development and incidence
of coastal marine fog are dependent upon interactions among three systems — atmospheric,
oceanic, and terrestrial — which are each subject to broad ranges
of variability.
«Even if it (the solar effect) is only 0.1 C over a solar cycle and a little more over a 500 year period from LIA to date then that's a good enough starting point for my NCM because all such solar
variability needs to do is alter the size, position and intensity
of the polar high pressure cells against an opposing force from
oceanic variability.
Even if it is only 0.1 C over a solar cycle and a little more over a 500 year period from LIA to date then that's a good enough starting point for my NCM because all such solar
variability needs to do is alter the size, position and intensity
of the polar high pressure cells against an opposing force from
oceanic variability.
On shorter timescales the background signal is overlain by chaotic
variability and lesser solar and
oceanic cycles.I'm sure one can find all sorts
of contradicting examples on short timescales.
Some caution is necessary in implicating the tropical Pacific and North Atlantic as the primary sources
of oceanic - forced
variability in the global mean temperature.
Such concerns, however, are tangential to the global mean temperature signature
of oceanic natural
variability, which is robust and independent
of spatial correlations that might obscure the identification
of the precise geographical source
of such
variability.
Given these and other misrepresentations
of natural
oceanic variability on decadal scales (e.g., Zhang and McPhaden 2006), a role for natural causes
of at least some
of the recent
oceanic warming should not be ruled out.»
Increasing attention is being paid to IPCC misrepresentations
of natural
oceanic variability on decadal scales (Compo and Sardeshmukh 2009): «Several recent studies suggest that the observed SST
variability may be misrepresented in the coupled models used in preparing the IPCC's Fourth Assessment Report, with substantial errors on interannual and decadal scales (e.g., Shukla et al. 2006, DelSole, 2006; Newman 2007; Newman et al. 2008).
The comment to Table 2 notes: «In general, these historical gauges were designed to monitor the sea level
variability caused by El Niño and shorter - term
oceanic fluctuations rather than long - term sea level change, for which a high level
of precision and datum control is required.»
This would arguably be the consequence
of all the various forcings, plus various feedbacks, plus various internal
variabilities such as
oceanic oscillations, plus external effects such as possibly solar magnetism and GCR's.
In this paper, it is shown that coherent large - scale low - frequency
variabilities in the North Atlantic Ocean — that is, the variations
of thermohaline circulation, deep western boundary current, northern recirculation gyre, and Gulf Stream path — are associated with high - latitude
oceanic Great Salinity Anomaly events.