But even if it had, there
are short term variations in temperature associated with El Nino and La Nina events and other «weather» which imply that CO2 is not the only factor.
Not exact matches
The point
was to show how much
variation in performance there
's been historically over
shorter time frames compared with a much narrower range in long -
term returns.
There have
been wide
variations among private sector forecasters about future economic developments, both in the
short and medium
term.
This idea
is a very
short -
term variation of the same concept.
They have shown that there
is substantial genetic
variation in nature for both long -
term seasonal acclimation and
short -
term acclimation associated with rapid extreme weather events.
While the atmosphere
is mainly causing climate
variations on
shorter time scales, from months to years, the longer -
term fluctuations, such as those on decadal time scales,
are primarily determined by the ocean.
In a detailed study of more than 200 years» worth of temperature data, results backed previous findings that
short -
term pauses in climate change
are simply the result of natural
variation.
Of course, while
short -
term changes in sea level can
be predicted fairly accurately based on the motions of the moon and sun, it
is a lot harder predicting the ups and downs of the average global surface temperature — there
is a lot of noise, or natural
variation, in the system.
But our main point does not depend on that and
is robust: with any model and any reasonable data - derived forcing, the observed 20th Century warming trend can only
be explained by anthropogenic greenhouse gases, while other factors can explain the
shorter -
term variations around this trend.
Climate
variations are made up of both long -
term trends, such as in response to greenhouse gases and aerosols, and
shorter term fluctuations due to natural variability, such as the El Nino Southern Oscillation.
The best known
shorter -
term variations are sunspot cycles, especially the Maunder minimum, which
is associated with the coldest part of the Little Ice Age.
The
short -
term variations are dominated by ENSO but also can
be influenced by large tropical volcanic eruptions (such as occurred in 1963, 1982 and, markedly, 1991), so the years after those eruptions
are anomalously cool.
Mr. Trenberth
was lamenting the inadequacy of observing systems to fully monitor warming trends in the deep ocean and other aspects of the
short -
term variations that always occur, together with the long -
term human - induced warming trend.
Once a natural
short -
term climate
variation from the natural paleoclimate baseline
is established, only then can the potential Anthropogenic influence
be further investigated.
Younger investors
are willing to accept more
short -
term variation in exchange for higher returns.
The
short -
term variations might scare you but they
are not the end of the world.
Short -
term variations are just noise and you should not look at your balances too often.
In order for a tradable item to
be a store of value, the amount of
variation in value in the
short - to intermediate -
term versus other items that has to
be limited.
A
variation of this scam
is that a con - artist will simply post a pic and info about your home or apartment and list it as
short -
term accommodation, typically to dupe tourists and vacationers out of their money.
1) if your asset allocation
is based on a 10 year average P / E ratio, won't
short term (say within one month)
variations not
be reflected?
Risk
is not
short -
term variation, unless your time horizon
is short.
Over
short periods, I think Glenn
is right — it smooths out
variations... but if one only has a
short term investing horizon, then equities wouldn't
be the best place for investments.
Muller's only additional take on it
is that the *
short -
term *
variations in the global temperature
variations.
There should
be far less
short term variation and none of the problems associated with the locations of land - based thermometers.
Your contention on noise doesn't make sense, it
is only by averaging over
short -
term variations that the long -
term trend (climate) emerges.
Also, on the subject of noise: How can the
short term variations in temperature
be considered «noise»?
In general it
's recognised that prediction of the so far unpredictable phenomena (El Nino
's, La Nina
's, the fine details of ocean circulation oscillations, volcanos and any solar
variation outwith the 11 year solar cycle) that provide
short term modulation of any trend
is likley to
be unfruitful at present.
Obviously in the
short term the ZnJ effects will give rise to
variations in the rate of movement of the glacier, but it
is the longer
term effects relating to energy transfer that worry me.
The reason for the discrepancy
is not that specific scientific findings
are in dispute but that the warming
is only recently emerging in a significant manner from the various natural
short and long
term background
variations.
For instance, the regression of the
short -
term variations in annual MSU TLT data to ENSO
is 2.5 times larger than it
is to GISTEMP.
Sure — but their attribution to specific causes
is going to
be different than for long
term trends and the
shorter they get the more important interannual
variations and ENSO
is going to
be relative to the long -
term drivers.
More background from Dr. Schmidt on why it
's easier to forecast long -
term warming than
short -
term variations: / / j.mp / KWHIW
There
are other factors affecting global temperature besides greenhouse gases, some of which have a profound impact on
short -
term variations.
Much of the evidence, however,
is based on
short -
term experiments that ignore long -
term variation in how species and ecosystems respond.
Many would think such a cooling outcome to
be extremely unlikely (in the deep psyche impossible), but until the models have the ability to predict the
short term variations occurring over the time interval of one year, we don't know how well the models have estimated natural variability.
Yes there
's correlation with other variables, including the PDO, but that correlation
is in the
short -
term variations.
Clarifying what drives
short -
term wiggles in climate conditions, and whether they can
be predicted with confidence,
is a vital enterprise as ever more people crowd onto planet Earth, many in poor places with little resilience to today's climate
variations, let alone those that could
be amplified by a building greenhouse effect.
But our main point does not depend on that and
is robust: with any model and any reasonable data - derived forcing, the observed 20th Century warming trend can only
be explained by anthropogenic greenhouse gases, while other factors can explain the
shorter -
term variations around this trend.
long
term natural cycle: http://www.vukcevic.talktalk.net/CET-NVa.htm
short term natural
variation: http://www.vukcevic.talktalk.net/GISS-spec.htm random walk
is just a copout, nature
is ruled by the cause - consequence relationships, it
is within our capacity to understand, we
are on the way, but not there yet.
Second: solar intensity on
short term is inversely correlated with low cloud cover (see the reference here), which intensifies the
variation and probably the long -
term trend too.
That
is why the annual CO2 increase in the atmosphere also varies greatly each year, and this
short -
term variation is not mainly caused by
variations in our emissions (so a record CO2 increase in the atmosphere in an El Niño year does not mean that human emissions have surged in that year).
Actually, there
's a meta - analogy here: just as the primary analogy tells us that
short -
term variation is basically distraction, minute examination of the details of that analogy exemplify another kind of distraction.
Experts say
shorter -
term variations are meaningless in the climate context, particularly if looking for a link to the greenhouse buildup.]
It
is not that
short -
term variation isn't interesting.
Short -
term variations in ocean heat uptake, such as the anomalous deep ocean warming of late,
are due to changes in the vertical & horizontal distribution of heat in the ocean — mostly the wind - driven ocean circulation.
We now know that to
be false — not because of the natural long -
term variations in climate (to which you refer and which water planners could safely ignore), but to new,
short -
term dramatic changes that result from human - induced climate change.
That
's too
short to infer a robust conclusion, anyway, and maybe
short -
term variations toward high temperature
are not representative of the long -
term warming induced by GHGs.
I noted how the overall rate in some studies, even on the scale of meters per millennium, «
is not one of these uber - catastropes,» but that how much
variation can occur within a century remains saddled with uncertainty, producing an «ugly mix of long -
term certainty and
short term murkiness.»
Over very long time periods such that the carbon cycle
is in equilibrium with the climate, one gets a sensitivity to global temperature of about 20 ppm CO2 / deg C, or 75 ppb CH4 / deg C. On
shorter timescales, the sensitivity for CO2 must
be less (since there
is no time for the deep ocean to come into balance), and
variations over the last 1000 years or so (which
are less than 10 ppm), indicate that even if Moberg
is correct, the maximum sensitivity
is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for
short term excursions (such as the 8.2 kyr event) has a similar sensitivity.
Increasing CO2 causes a gradual long -
term warming trend which
is smaller than the
short -
term variations.