The extra data spanning many thousands of years that this study uncovers will go a long way to matching model projections with past observations, helping scientists identify the most accurate models for
making predictions of future climate change.
Not exact matches
To get some idea
of what
climate change will likely mean for the reefs, the World Heritage Centre asked coral experts at NOAA and elsewhere to produce what they claim is a first
of its kind study «that scientifically quantifies the scale
of the issue,
makes a
prediction of where the
future lies, and indicates effects up to the level
of individual sites,» says Fanny Douvere, marine program coordinator at the center.
The finding suggests that
future climate simulations, unlike current ones, should account for the effects
of these algae when
making predictions about glacial melt.
This
prediction emerges from a new study by Richard Zeebe at the University
of Hawai'i who includes insights from episodes
of climate change in the geologic past to inform projections
of human -
made future climate change.
«A better understanding
of the controls on reef development in the past will allow us to
make better
predictions about which reefs may be most vulnerable to
climate change in the
future.»
«A challenge for the coming years is to use these kinds
of climate models to be able to
make predictions about populations and ecosystems in the
future.
His model also
makes specific
predictions about the effect these clouds will have on the planet's
climate and the types
of information that
future telescopes, like the James Webb Space Telescope, will be able to gather.
As can be seen your graph, our
climate models
make a wide range
of predictions (perhaps 0.5 - 5 degC, a 10-fold uncertainty) about how much «committed warming» will occur in the
future under any stabilization scenario, so we don't seem to have a decent understanding
of these processes.
«In the face
of natural variability and complexity, the consequences
of change in any single factor, for example greenhouse gas emissions, can not readily be isolated, and
prediction becomes difficult... Scientific uncertainties continue to limit our ability to
make objective, quantitative determinations regarding the human role in recent
climate change, or the degree and consequence
of future change.»
A new buzz - word is the concept
of «seamless
prediction», in which
predictions ranging from nowcasting all the way to
future scenarios are provided with a sliding time scale and that doesn't
make distinction
of incremental types such as «weather forecasts» «seasonal
predictions» and «
climate scenarios».
5) Given the complexity
of climate, no confident
prediction about
future global mean temperature or its impact can be
made.
Better understanding
of the effect
of aerosols on Earth's
climate in the past can help
climate scientist
make better
predictions of climate change trends in the
future, the researchers said.
I suspect that it looked OK in your view or you didn't check; «the paper i cited talks
of the hiatus in global temperatures for the past 20 years or so, that the Little Ice Age was global in extent, and that
climate models can not account for the observations we already have let alone
make adequate
predictions about what will happen in the
future.
There are many who will not like this recent paper published in Nature Communications on principle as it talks
of the hiatus in global temperatures for the past 20 years or so, that the Little Ice Age was global in extent, and that
climate models can not account for the observations we already have let alone
make adequate
predictions about what will happen in the
future.
Is Trenberth saying that we are
making too many Type II errors when we don't judge these models incapable
of making useful
predictions about
future climate?
Most
of the world's Anhingas live in Latin America, though, so data from those regions will be needed to
make broad
predictions about overall
future numbers or potential colonization
of the predicted expansion
of summer range based on Audubon's
climate model in the southern United States.
In deference to the unpredictable nature
of attempting to forecast global
climate (and as an attempt to avoid mistakes previously
made) the panel was more cautious than it was in past reports in
making predictions for the
future.
If you were to produce a chaotic model using the above, I would venture a
prediction that the above former were the massive attractors about which we could
make some decent
predictions about the
future but that the latter human produced CO2 inserted into our atmosphere would leave us with hopelessly inadequate and wrong
predictions because CO2 contributed by man is not an attractor
of any significance in the chaotic Earth
climate system nor is CO2 produced by man a perturbation that would yield any predictive ability.
Yet some kind
of climate model is indispensable to
make future predictions of the
climate system and IPCC has identified several reasons for respect in the
climate models including the fact that models are getting better in predicting what monitoring evidence is actually observing around the world in regard to temperature, ice and snow cover, droughts and floods, and sea level rise among other things.
To equate
climate models with «bad» science must be understood to be an attempt to undermine any scientific justification for
climate change policies because models are needed to
make predictions about the
future states
of complex systems.
The researchers used recent historical data and not
climate modeling, so the study does not
make any
future predictions, but Swain says the findings appear to be consistent with other
climate research that reveals there is little change in average precipitation, but an increase in the amount
of very wet or very dry periods.
-- Muller believes humans are changing
climate with CO2 emissions — humans have been responsible for «most»
of a 0.4 C warming since 1957, almost none
of the warming before then — IPCC is in trouble due to sloppy science, exaggerated
predictions; chairman will have to resign — the «Climategate» mails were not «hacked» — they were «leaked» by an insider — due to «hide the decline» deception, Muller will not read any
future papers by Michael Mann — there has been no increase in hurricanes or tornadoes due to global warming — automobiles are insignificant in overall picture — China is the major CO2 producer, considerably more than USA today — # 1 priority for China is growth
of economy — global warming is not considered important — China CO2 efficiency (GDP per ton CO2) is around one - fourth
of USA today, has much room for improvement — China growth will
make per capita CO2 emissions at same level as USA today by year 2040 — if it is «not profitable» it is «not sustainable» — US energy
future depends on shale gas for automobiles; hydrogen will not be a factor — nor will electric cars, due to high cost — Muller is upbeat on nuclear (this was recorded pre-Fukushima)-- there has been no warming in the USA — Muller was not convinced
of Hansen's GISS temperature record; hopes BEST will provide a better record.
«In terms
of how we should think about
climate change
prediction in the
future, reducing emissions and so on, it really wouldn't
make much
of a difference.»
In this final section, I will try to
make estimates
of what subcap methane emissions may mean for
future climate change; more as a speculative basis for discussion rather than an authoritative
prediction.
This raises an interesting question, which is how should the IPCC (or anybody else for that matter) falsify hypothesis II and III, which although they are at least plausible,
make no testable
predictions, unlike hypothesis I. Has anybody
made projections for
future climate with an unambiguous statement
of uncertainty that would allow the projections to be falisfied by the observations?
Yet evolution is an explanation
of facts; dangerous man -
made climate change is a
prediction about the
future.
In an article on «the perils
of confirmation bias,» published for the Global Warming Policy Foundation (a group firmly opposed to policies that counteract
climate change), Ridley suggested that «governments should fund groups that intend to explore alternative hypotheses about the likely
future of climate as well as those that explore the dangerous man -
made climate change
prediction.»
A rational public and private sector response to the threat
of storm damage in a changing
climate must therefore acknowledge scientific uncertainties that are likely to persist beyond the time at which decisions will need to be
made, focus more on the risks and benefits
of planning for the worst case scenarios, and recognize that the combination
of societal trends and the most confident aspects
of climate change
predictions makes future economic impacts substantially more likely than does either one alone.
On a very simple level,
climate alarmism is all about
making dire
predictions of what'll happen in the
future.
«While this scenario is far from certain, it is critical that researchers understand the overturning process, he said, to be able to
make accurate
predictions about the
future of climate and circulation interaction.»
In other words they say clearly that it is not possible to
make future long - term
predictions of climate.
Until we do, we can not
make good
predictions about
future climate change... Over the last several hundred thousand years,
climate change has come mainly in discrete jumps that appear to be related to changes in the mode
of thermohaline circulation.»
By WUWT regular «Just The Facts» I am often amused by claims that we understand Earth's
climate system, are able to accurately measure its behavior, eliminate all potential variables except CO2 as the primary driver
of Earth's temperature and
make predictions of Earth's temperature decades into the
future, all with a high degree
of confidence.
If the researchers can understand how specific regions
of the earth are impacted when the
climate changes, and how the changes in those regions impact other parts
of the globe, they can
make better
predictions of how the planet will respond to
future climate change events.
Therefore, the AASC recommends that policies related to long - term
climate not be based on particular
predictions, but instead should focus on policy alternatives that
make sense for a wide range
of plausible climatic conditions regardless
of future climate.
The real theme
of George's column is that
climate scientists do not understand enough to
make predictions about
future climate change, and therefore their warnings are primarily merely ploys («unsubstantiated by fact», to quote George) to increase their own research funding.
At that time (and particularly the early to mid 70's)
climate science was ambiguous about predicting the
future, although the 1975 NAS report summarised the state
of the science pretty well: that we didn't know enough to
make useful
predictions and needed to study more.
13) The inability
of climate models to adequately reproduce the recent states and trends
of Arctic sea ice diminishes confidence in their accuracy for
making future climate predictions.
It's a finding that should be reflected in current
climate models to help scientists
make more accurate
predictions about
future Greenland melt — and could become even more important in the coming years if cloud cover over the ice sheet were to increase as a result
of climate change.