Introducing the snow /
ice feedback also affects the amount of energy trapped by water vapour.
Not exact matches
The paper
also describes an atmosphere - ocean modeling study of
feedback loops caused by
ice sheet melting under 2 °C conditions.
Even if Pluto's ocean is really now just
ice, Keane says, these new studies of Sputnik Planitia reveal a powerful and unique
feedback between Pluto's climate and orbital evolution that could
also operate on other icy worlds in the outer solar system.
Some climate scientists, including James E. Hansen, former head of the nasa Goddard Institute for Space Studies, say we must
also consider slower
feedbacks such as changes in the continental
ice sheets.
It's
also likely, Russell and his colleagues say, that the drying in Indonesia created a
feedback loop that amplified
ice age cooling.
While the ECS factors in such «fast»
feedback effects as changes in water vapor — water itself is a greenhouse gas, and saturates warm air better than cold — they argued that slow
feedbacks, such as changes in
ice sheets and vegetation, should
also be considered.
The result — and, thanks to
feedback effects,
also the cause — is dwindling sea
ice.
But lower GHGs in the last
ice age were
also a
feedback — weren't they?
Also about the
ice - albedo
feedback within 1K temperature oscillation the albedo will change of, let us say, 10 %, so for an increase of 1K the albedo will decrease from A = 0.3 to A = 0.27.
Anyone who accepts that sunlight falling on
ice free waters which has less reflectivity than sunlight falling on a large
ice mass covering those waters and
also accepts that this reduction in albedo has a positive
feedback effect, leading to further warming, can't help but opt for A or B, it seems to me.
He then uses what information is available to quantify (in Watts per square meter) what radiative terms drive that temperature change (for the LGM this is primarily increased surface albedo from more
ice / snow cover, and
also changes in greenhouse gases... the former is treated as a forcing, not a
feedback;
also, the orbital variations which technically drive the process are rather small in the global mean).
There was more
ice around in the LGM and that changes the weighting of
ice - albedo
feedback, but
also the operation of the cloud
feedback since clouds over
ice have different effects than clouds over water.
To all farmers - at - heart: Pure Farming 2018, a new farming game from Techland Publishing and developer
Ice Flames, has just hit stores worldwide, and
also revealed extensive plans for post-launch content, heavily influenced by community
feedback.
Note
also that going back to the
ice ages, the glacial - interglacial temperature swing can not be explained without full water vapour
feedback on top of both the
ice sheet albedo and CO2 effects.
But it
also means that more
ice is going to melt, and with the albedo effect that is a negative
feedback feeding into a positive
feedback.
Dave Cooke (# 303), +4 C per doubling is a somewhat higher than usual (but still reasonable) number that includes
feedbacks such as an increasing amount of atmospheric H2O but
also non-greenhouse effects such as a diminshed reflective
ice cover on the surface of the planet.
(In the full 4 - dimensional climate, responses can
also tend spread horizontally by convection (advection) and temporally by heat capacity, though «fingerprints» of horizontal and temporal variations in RF (externally imposed and
feedback — snow and
ice albedo, for example) can remain — this spreading is somewhat different as it relies in part on the circulation already present as well as circulation changes)
Charney sensitivity refers to the climate sensitivity when fast - reacting
feedbacks (Planck response is a given —
also, water vapor, clouds,... I think sea
ice, seasonal snow) occur but with other things (land - based
ice sheets,... vegetation -LRB-?)-RRB-
Then there are
also non-GHE
feedbacks, such as albedo
feedbacks (cloud albedo, snow,
ice, vegetation, dust / aerosols).
But lower GHGs in the last
ice age were
also a
feedback — weren't they?
AR4 specifically excluded Greenland and Antarctica
ice sheet melting, due to the uncertainties about
ice flow dynamics, and
also specifically excluded slow
feedbacks,
also due to the uncertainties involved.
The second positive
feedback mechanism
also has to do with
ice melting.
And, quite disturbingly, with a manifest warming of only 0.8 ºC, we are already seeing effects − such as the precipitous receding of the Arctic sea
ice − that are not only dangerous in themselves but
also producing positive
feedbacks that accelerate the warming.
We
also of course know that the northern sea
ice is particularly vulnerable to rapid change (geologically speaking) given the greater advection of energy to that region and the properties of Arctic amplification (positive
feedbacks) that we are become more familiar with.
The initial warming
also reduces the surface albedo by melting snow and sea -
ice, which likewise constitutes a positive
feedback because snow and
ice are effective reflectors of sunlight.
Cloud variations are obviously an important element on a global scale, but the effects of Arctic
ice melting are important locally and
also a non-trivial fraction of global albedo
feedbacks, which are a contributor to total
feedback that is smaller than those from water vapor and probably from cloud
feedbacks, but not insignificant.
Climate models
also point to a more - likely - than - not probability that even greater impacts will result from
feedback mechanisms such as permafrost and
ice sheet melting beginning or accelerating, unleashing further warming.
Interestingly, whilst sea
ice is a net postive
feedback, it is well understood that it is
also, in some cirumstances a negative
feedback.
However, such an approach not only neglects the effect of year - to - year or longer - term variability (Overland and Wang, 2013) but
also ignores the negative
feedbacks that can occur when the sea
ice cover becomes thin (Notz, 2009).
AGW climate scientists seem to ignore that while the earth's surface may be warming, our atmosphere above 10,000 ft. above MSL is a refrigerator that can take water vapor scavenged from the vast oceans on earth (which are
also a formidable heat sink), lift it to cold zones in the atmosphere by convective physical processes, chill it (removing vast amounts of heat from the atmosphere) or freeze it, (removing even more vast amounts of heat from the atmosphere) drop it on land and oceans as rain, sleet or snow, moisturizing and cooling the soil, cooling the oceans and building polar
ice caps and even more importantly, increasing the albedo of the earth, with a critical negative
feedback determining how much of the sun's energy is reflected back into space, changing the moment of inertia of the earth by removing water mass from equatorial latitudes and transporting this water vapor mass to the poles, reducing the earth's spin axis moment of inertia and speeding up its spin rate, etc..
Some climate scientists, including James E. Hansen, former head of the nasa Goddard Institute for Space Studies, say we must
also consider slower
feedbacks such as changes in the continental
ice sheets.
Feedback from local observers and vessels operating in the North American Arctic
also highlights the need for further work on reconciliation between different
ice nomenclatures and
ice information derived from different sources (satellite remote - sensing, ship - based observations, buoys etc.).
They
also warn that
feedback patterns are starting to emerge in the shape of the
ice albedo effect:
ice reflects heat away from the surface, so as it decreases in extent so warming quickens.
Indeed, the long lifetime of fossil fuel carbon in the climate system and persistence of the ocean warming ensure that «slow»
feedbacks, such as
ice sheet disintegration, changes of the global vegetation distribution, melting of permafrost, and possible release of methane from methane hydrates on continental shelves, would
also have time to come into play.
These and other observations can be integrated into a model with
feedbacks and having two unstable end ‐ points that is consistent both with classical studies of past climate states, and
also with recent analysis of
ice dynamics in the Arctic basin by Zhakarov, whose oscillatory model identifies
feedback mechanisms in atmosphere and ocean, both positive and negative, that interact in such a manner as to prevent long ‐ term trends in either
ice ‐ loss or
ice ‐ gain on the Arctic Ocean to proceed to an ultimate state.
Yes, CO2 comes out of a warming ocean and that was a positive
feedback after the last
Ice Age, but in the last century or so Man has emitted a boatload (twenty times) more than the ocean, and
also added some to the ocean, hence a lower pH. Figure that into your carbon budget.
Second, the abstract admits that, «Pleistocene climate oscillations yield a fast -
feedback climate sensitivity of 3 ± 1 °C for a 4 W m − 2 CO2 forcing if Holocene warming relative to the Last Glacial Maximum (LGM) is used as calibration, but the error (uncertainty) is substantial and partly subjective» and
also «
Ice sheet response time is poorly defined».
The loss of sea
ice is
also expected to create a positive
feedback cycle, heating up the region even faster.
Studies in the past have
also confirmed the value of this
feedback on the AIS evolution during the
ice age.
The remaining slow drift to lower GMT and pCO2 over glacial time, punctuated by higher - frequency variability and the dust − climate
feedbacks, may reflect the consequences of the growth of continental
ice sheets via albedo increases (
also from vegetation changes) and increased CO2 dissolution in the ocean from cooling.
But note that the SH
also misses (or at least minimises) some of the
feedbacks that act in the NH, such as snow /
ice albedo.
Simply extrapolating historical trends
also does not account for
feedbacks in the system, such as the negative
ice thickness -
ice growth rate
feedback identified by Bitz and Roe (2004) that can slow the
ice volume rate of loss.
It is positive
feedback, not only from summer
ice area, but
also from winter snow area over the northern continents.
Based on the understanding of both the physical processes that control key climate
feedbacks (see Section 8.6.3), and
also the origin of inter-model differences in the simulation of
feedbacks (see Section 8.6.2), the following climate characteristics appear to be particularly important: (i) for the water vapour and lapse rate
feedbacks, the response of upper - tropospheric RH and lapse rate to interannual or decadal changes in climate; (ii) for cloud
feedbacks, the response of boundary - layer clouds and anvil clouds to a change in surface or atmospheric conditions and the change in cloud radiative properties associated with a change in extratropical synoptic weather systems; (iii) for snow albedo
feedbacks, the relationship between surface air temperature and snow melt over northern land areas during spring and (iv) for sea
ice feedbacks, the simulation of sea
ice thickness.
We
also obtain an empirical estimate of f = 2 - 4 for the fast
feedback processes (water vapor, clouds, sea
ice) operating on 10 - 100 year time scales by comparing the cooling due to slow or specified changes (land
ice, CO2, vegetation) to the total cooling at 18K.
By the way, I intended to give the link to the abstract for the permafrost
feedback abstract at the end of the last post, and instead posted a link to the article that discussed the CO2 in
ice issue that I was
also discussing there — oops.
The conclusion that limiting CO2 below 450 ppm will prevent warming beyond two degrees C is based on a conservative definition of climate sensitivity... Some climate scientists... say we must
also consider slower
feedbacks such as changes in the continental
ice sheets.
This development
also sets up dangerous climate
feedback loops as reflective white snow and
ice turn into heat - absorbing dark - blue water.
But if you change the ratio of water to
ice, you
also change the strength of the
feedback.