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The weather turned upside-down?
Abrupt Climate Change: evidence, mechanisms and implications
At lunchtime on 4 February 2003, bemused tourists
climbing the Duke of York's Steps in central London found over 300
climate scientists huddling in the snow. The fact that it was
snowing was more a topic of conversation than the false alarm that
had driven them out of the Royal Society - for it hasn't snowed much
in London in the past decade. But over the past century the normal
London climate in February has included snow. And, for those
scientists who research ancient climates and who think of the
past million years as "recent", the normal London climate
is at least as cold as the Arctic is now, with brief warm spells
every 100,000 years or so.
That scene, then, sums up several of the questions that drew a
record attendance for a Royal Society meeting. There is no doubt
that the world's climate is changing. There is a strong consensus that
this is connected with the "greenhouse effect" through which
gases in the atmosphere - notably carbon dioxide - trap the energy
from the sun, and that human emissions of these gases are important.
But to answer important questions like how climate changes will
differ from place to place and how severe they will be
requires detailed knowledge of what "normal" climate
has been. The recent realisation that climate may change
abruptly - and that global warming could mean a sharp
cooling of North-West Europe - adds urgency.
The effort to discover how likely this is depends on drawing
together everything we know about the planet, and filling many gaps
in our knowledge. It involves understanding myriad feedback loops:
how for example people, plants, soils, ice sheets and oceans
respond to, and in turn affect, changing conditions. So it brings
together scientists of many kinds, from physicists to geologists to
botanists. They have had to learn very quickly how to talk to each
other - and to politicians and the public, because what they are dealing
with is no less than the fate of life on Earth in the near future.
What is ‘abrupt climate change’?
Until very recently scientists have discussed climate change
almost entirely as a gradual process in their terms - which means
an extremely slow process in political terms. There has been intense
debate, for example, over what may happen by the end of this century.
But since the mid-1990s scientists have been asking whether
the world's climate might change abruptly, as well as gradually.
Professor Jochem Marotzke, one of the meeting's organisers,
opened it by asking what we mean by "abrupt". He worked
with Professor Richard Alley on the 2002 US National Academy of
Science study
Abrupt Climate Change: Inevitable Surprises.
After much thought they defined what they were talking about
- from the point of view of the climate - as:
- the climate system "flips": it crosses some threshold,
for example, from a state with a Gulf Stream like today's
to one where it stops short further south; and
- after is has crossed the threshold, further change happens
at a speed governed by the climate system itself, not the slow
change in whatever pushed the system.
From the point of view of ecosystems, the more important
features of these abrupt changes are that:
- once the threshold is crossed, the changes persist;
- the changes are on continental or global scales; and
- because they are abrupt, these are changes for which
ecosystems are unprepared or to which they are incapable of adapting.
Marotzke summed up the purpose of the meeting as
summarising what scientists know about abrupt climate change.
And, "always more interesting for scientists", what
we do not know. Listing areas of ignorance is essential to
deciding what research to do next.
What has happened?
Why did it happen?
What might happen in the near future?
What will the consequences be?
Gradual climate change poses enough of a challenge. The resulting
rise in sea level could inundate entire countries, and staple food
crops may no longer thrive in the areas where they are currently
grown, for example. Given the will, it may be possible both
to minimise the changes - by reducing carbon dioxide emissions -
and to plan to reduce the impact of the changes that do happen
- by working out what crops will grow, for example.
Abrupt climate change clearly makes such planning difficult.
The possibilities include the UK climate switching
within a couple of decades - or even a few years - to be
more like that of Iceland. Other parts of the world would undergo
different changes: the rains could fail across South Asia, for example.
And with our present knowledge, it is extremely difficult to
provide any early warning, or even to be sure whether one
extremely cold winter or one drought is a random fluctuation in
the weather, or a sign of a permanent change in the
pattern of weather which is "climate".
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Professor Richard Alley is a palæoclimatologist - that is, he
studies ancient climate - at Pennsylvania State University.
Such work is essential to predicting the future.
He started by showing "the picture that most people and
most policy-makers have of climate change" - the
Intergovernmental Panel on Climate Change
(IPCC)
graph of predicted temperature changes for different scenarios.
"There are uncertainties, depending both on what the world
does and on what people do," he noted: the change in global
temperature this century may be 1°C or 6°C, as shown in
the standard IPCC graphic:
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Example graphic of the IPCC range of climate predictions:
each coloured line is the smoothed average of many runs
of different computer models, assuming a different
range of greenhouse gas emissions.
© & used by kind permission of the Secretary of the
IPCC
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A gradual one-degree increase in global average temperature
would have noticeable effects, for example changing
the growing seasons for crops and animal fodder in given places,
particularly marginal places. Professor Alley reminded the
audience that the records of past temperatures that he and colleagues
have extracted from Greenland ice cores show "a little blip"
in temperature around 1350 that coincides with the extinction of
the Viking colonies in Greenland. From recent archaeological work it
seems that "they brought their animals into the house for the
winter, ate their dogs and disappeared."
This was a change of one or two degrees. A three-degree change
- in the middle of the range of uncertainty - would have quite
significant effects.
But, Professor Alley asked: "is the IPCC being over-optimistic?"
To answer the question, we have to digress from the
state-of-the-art presentations at the meeting, to go back
and look at the basics of how scientists make such predictions.
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Climate change predictions come from multiple runs of several
super-computer models, each of which aims to simulate the entire
planet's climate system.
Briefly, the models divide the atmosphere into cells
that are roughly cubes; calculate the physics of what goes
on inside one cell in an interval of 20 minutes; communicate
flows of air, heat and moisture to neighbouring cells; and
repeat over all the cells, over a time period of several
thousand years. Cells at the outer edge of the modelled
atmosphere are "fed" with solar radiation, and those
at the surface with heat, moisture and other gases from virtual
land and oceans.
A complete Earth model would do the same for the ocean,
rather than treating it as an array of point sources
of heat and gases. There are ocean models that model
currents in the same way that atmospheric models do
winds, and work on integrating them with the atmospheric
models is going on. Modelling what goes on on the land
surface, from soil bacteria through plants to flatulent
cows and car manufacturers and stock exchanges, is quite
another matter.
The smaller the cells and the shorter the time-steps,
the better the model can be. These "granularities"
are determined by the amount of computer power available.
Current models are too "coarse" to include, for
example, the uplands of Wales as a single feature, let
alone mid-afternoon weather effects in the valleys.
If you want to model the climate over hundreds of
thousands or millions of years, you have to use a still
coarser granularity. For the foreseeable future, climate
scientists will be begging for more computer power.
This note on scientific modelling
from a report of a Royal Society meeting on
high-performance computing may be helpful.
Testing the models...
One important way to test a climate model is to see how
well it "predicts" the past. Set it off with
reasonable starting conditions for 800,000 years ago,
for example, and see whether it "predicts" the
nine major ice ages that we actually find in the geological
record without being told about them.
To do this checking, we need records of temperatures as
far back as we can get them. The longest series of daily
weather reports in the world covers central England back
to 1772; general Northern Hemisphere coverage was
achieved in the 19th century. Tree rings take us
back a few thousand years. A lot of Professor Alley's work
has been on ice cores, which take us back many hundreds
of thousands of years.
Ice is H2O; the
great majority of the oxygen is the "isotope"
oxygen-16, abbreviated 16O. A
small proportion is the isotope 18O.
Water containing 18O
condenses from the air at a slightly higher temperature
than that containing 16O;
so snow falling from colder air contains less
18O, and the
18O:16O
ratio provides a record of temperature.
Similar methods can be used with other isotope ratios, such
as deuterium to plain hydrogen
(2H:1H).
The ice also contains trapped air bubbles, which include
gases of interest such as carbon dioxide and methane, and
calcium levels indicate atmospheric dustiness.
The age of ice can be determined by counting annual
deposition layers back to about 40,000 years ago. Before that a variety of methods, including physical
modelling of the layers squashing under pressure and
radioactive decay dating, are used.
So drilling through an ice-cap, making
thin slices and measuring the ratio of 16O
to 18O in each gives an indirect
but accurate record of temperature. A core from "Dome C"
in Antarctica, for example, is expected to produce a record stretching back 800,000 years.
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The most obvious feature that researchers find in the
temperature record is that for most of the past 800,000 years
the Earth has been much colder than it is now, with warm
spells every 100,000 years or so. For example:
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Temperatures and carbon dioxide
levels in Antarctica over the past 450,000 years
© Professor Richard Alley; data from Petit et al |
Closer examination shows less extreme periodicities of
41,000 years, 23,000 and 19,000 years. These correlate with
changes in the Earth's orbit: it changes from more circular
to more eccentric every 100,000 years, the tilt of the line
through the Poles relative to the plane of orbit changes
over 41,000 years, and the direction of that line wobbles
with the two shorter periods. They are known as the
"Milankovitch Cycles", after the Serbian
astrophysicist who thoroughly described them in 1920.
These changes mostly alter the distribution of sunshine
between the Northern and Southern hemispheres and between the
Poles and the equator, rather than the total amount of energy.
As a questioner pointed out, the mechanism by which they
affect climate is far from clear.
But it is clear that when Greenland has least sun, it's
coldest - but Antarctica is also coldest at the same times, when
it has most sun. So the global climate follows the amount of
sunshine in the north. And though the orbit changes are gradual,
the record shows some very rapid temperature changes
coming in and out of ice ages. At the very end of the
Younger Dryas, a global cooling event of particular interest
between 13,000 and 11,500 years ago, average temperatures
increased by about 6°C within a decade in some places.
(The event is named after the increase in pollen and fossils
of Arctic dryas plant species found
in sediments.)
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To return to Alley's presentation: what does correlate
with temperature everywhere is the amount of carbon dioxide in
the atmosphere. This, as he says, "is one of the
reasons we believe human effects on the atmosphere are
going to show up in the climate".
So how well do the climate models that underlie the
IPCC predictions do at "predicting" this effect?
They're much better than people often give them credit
for, Alley says. Climate changes show up in the right places
at the right times But "if there's an error it's that
they don't produce such large changes [in climate] as
the real world does."
Clear patterns emerge in other data from the ice
cores. When it's cold and dry in Greenland, it's cold
and windy in Central Asia, as shown by hundred-fold
increases in dust in the ice, and also in wind-blown
sea salt. Methane levels indicate the amount of wetland
globally: when Greenland is cold it dries up. Independent
records from sediments in Venezuela show the same effect.
The temperature records correlate very well across the
globe: the big, gradual changes affect the entire planet.
But there's one exception: when Greenland is getting cold
very quickly, the South Atlantic (north of the circum-Antarctic
current) warms.
At the end of each ice age, we see a warming followed
by a slip back into deep freeze. Alley described what
happened toward the end of the Younger Dryas:
as the climate started to warm up again, a huge quantity
of melt-water from North America "poured into the North
Atlantic in a big hurry - and it got cold". Average
temperatures fell by 6°C within a century.
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So how does dumping a lot of fresh water into the North
Atlantic make much of the world a lot colder, but the
South Atlantic warmer?
The answer is the circulation of the water between the world's oceans.
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The largest scale of the global ocean circulation:
warm water flows on the surface to the North Atlantic, getting saltier as it
goes; there it cools and sinks. Adding fresh water in the ocean south of
Greenland (X) disrupts the system, cooling
North-West Europe but "blocking" warm water in the South
Atlantic. A speaker referred to maps like these as "oceanographer
detectors", since they make all the oceanographers in the room
go visibly pale at the vast over-simplification.
© Mike Holderness,
based on public domain sea-ice image from NASA
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This worldwide current is known as the "Thermohaline
Circulation" (abbreviated "THC") because it is
driven both by heat and by the saltiness of the water
(Greek ’αλος = halos = salt).
From the point of view of North-West Europe it's rather
important that the THC transports heat from the South
Atlantic to us.
When fresh water is dumped south of Greenland, sea-ice
cover increases because it's easier to freeze. The models
reproduce this effect rather well. They also successfully
show other real world effects - though they underestimate
them. These include a dramatic drying in "lots of
places where a whole lot of people are living and depending
on rainfall," as Alley put it: the grain belts of North
America, the Saharan region and parts of the South
Asian monsoon.
Alley concludes that abrupt climate change is real:
it's happened several times in the past, and major changes
have happened within a decade or as little as one year.
It does not only happen within ice ages. A rapid cooling
event about 8200 years ago started from a climate a
little warmer than we've had recently.
His big question is: what are policy-makers seeing?
Mostly the graph above - in which
the scenarios are all shown as smooth lines. None represent
the possibility of abrupt climate change.
The most important uncertainty within each scenario,
to summarise, is not whether the global average temperature
will rise smoothly by 2.9°C or 3.8°C - but
what increase in carbon dioxide and other greenhouse
gases will be enough to tip the climate from its
present state into one where North-West Europe is
suddenly many degrees colder and other places are
significantly warmer. The mid-range CO2
forecast levels could be enough to do this. We don't
know.
"If there's one thing we're absolutely sure of,"
Alley observes, "it's that the changes won't look like
that. Nothing is ever smooth."
Perhaps we could try something like the following to
show what the models are actually predicting:
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An attempt to represent abrupt and chaotic
climate change for North-West Europe. Each line is an illustration of
a possible outcome, not actual modelling data. If
CO2
"forcing" rises sharply, temperatures will change in a manner
like one of the red or orange lines. If it rises less,
temperatures will change in a manner like one of the blue or
green lines. The green line illustrates that abrupt change is still
possible - though unlikely - with the lower forcing. This graphic
doubtless has its own potential to mislead, but at least has the
advantage of not implying a non-probabilistic prediction. Suggestions
for alternative presentations are welcome.
Illustration © Mike Holderness<
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So is the IPCC over-optimistic? Alley hopes not. But
the historical changes - both the slow ones and the fast
ones - have been been bigger than what the models are
calculating.
Would the 10 per cent reduction in CO2
emission foreseen in the Kyoto process make any difference? Possibly:
some models suggest that adding CO2
to the atmosphere more slowly may avoid triggering abrupt
change. But the system is chaotic...
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The focus of the rest of the meeting on climate change
in the deep past - and hence in the slow processes of the
oceans and ice - led Professor Brian Hoskins FRS to joke with
participants that he would try to convince them that the
atmosphere was relevant to climate. Hoskins has worked on many
aspects of climate modelling in the Department of Meteorology
at the University of Reading.
Everything that happens in the atmosphere is
"instantaneous", compared to ocean currents or
cycles of glaciation. This means that the atmosphere is important
in communicating changes - in temperature, moisture content or
whatever - from one part of the planet to others on a timescale
of weeks. The major force driving the weather is the transport
of heat from the tropics toward the poles. Near the equator,
ocean currents play a major part in this; further away, the
atmosphere is the major conveyer of heat.
The behaviour of the atmosphere is
chaotic, in the strict mathematical sense. This means that while
the physics of a small region of air over a short time may be
relatively simple, the behaviour of the entire system is complex
and impossible to predict in any detail for more than a few days
ahead: a one-month weather forecast is simply not possible.
But we can make general, probabilistic forecasts - that is,
of climate rather than weather. We can give a probability that
the weather will be in the vicinity of an "attractor"
- a region in the space of all possible weather.
Improbable things will, of course, happen from time to time.
One hot summer does not global warming make. But a whole
series gives cause to ask whether the entire system has been
forced to move to a different attractor.
Consider for example the "North Atlantic Oscillation,"
which is still well described in the original observation by
the missionary Hans Egede Saabye, based on his weather
observations in 1770-1778:
"In Greenland, all winters are
severe, yet they are not alike. The Danes have noticed that when
the winter in Denmark was severe, as we perceive it, the winter
in Greenland in its manner was mild, and conversely."
The size of these swings has been increasing for decades (see
below).
Whether this change is a coincidence of improbable
events, or evidence that the climate has moved to a different
attractor, is a subtle question.
Folk wisdom has it that the warmth of North-Western
Europe compared to Labrador - which is at the same distance
from the Equator on the other side of the Atlantic - is due
to the "Gulf Stream" current, the
THC. But Hoskins
points out that the track taken by storm systems swinging
across the Atlantic from the Caribbean is at least as important.
If the NAO "flipped" to a different attractor and
they usually went elsewhere, Scotland for example would
be 9°C colder on average.
Though possible changes in the THC, for example, are also
important, only work on modelling the atmosphere will allow
predictions of the effects on populations and their food
sources - which, after all, live in the atmosphere.
And though politicians want to know, for example,
whether last year's floods in Central Europe were part of
systematic global climate change, only global modelling
can address these regional questions. Hoskins' group has
preliminary evidence from climate models suggesting that
these floods were related to the failure of the Asian
monsoon rains.
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The North Atlantic, lying between Western Europe and
North America, is both ideally placed between large
concentrations of scientists and of direct interest
to major funders. But it also happens to be
the most interesting part of the world for abrupt
climate change.
It is almost certain that changes in less-well-funded
parts of the climate, for example the South Asian
monsoon, affect the weather in North-West Europe. Some researchers
are suggesting, too, that abrupt changes in the THC may
affect the climate worldwide, including the monsoon.
Dr Robert Dickson is a hydrographer at the Centre for
Environment, Fisheries and Aquaculture Science in Lowestoft,
Suffolk and he is studying changes in the North Atlantic over the past
40 years. Within this period, all 10 of the warmest
years since records began happened between 1990 and 2002. It also
includes extremes in the "North Atlantic
Oscillation,". The NAO has been increasing - the
weather has been swinging East and West more strongly. In
the 1990s it was more extreme than at any time in the
past 600 years.
This adds up, Dickson says, to "one of the most unusual
climatic episodes in the history of the North Atlantic".
He expects that it has the potential to lead not only to a slowdown in the
global THC ocean current that other speakers addressed, but
to an acceleration in the turnover of water between the
oceans and the atmosphere (an acceleration of the global water cycle).
So what are we observing? There are few measurements of
the flux of freshwater from the Arctic: instrument arrays
both side of Greenland are only now being installed.
Measurements from the Labrador Sea do indicate a 20 per cent increase
in the near-surface flux of freshwater from the subarctic since the 1960s.
Coupled with a freshening of the overflow system from Nordic Seas, the effect
has been that of adding an extra 6 m of freshwater to the water column of
the Labrador Sea by 1992. But this hasn't produced an
"Even Younger Dryas", because it's distributed
through the entire depth of the ocean. If it had all been
dumped on the surface, Dickson is fairly certain
we'd have seen massive changes in the THC. Expenditure
on complete measurements of flows in the North Atlantic
is certainly justified.
The evidence for an acceleration of water turnover is
an increase in saltiness of water further south, through to
the equatorial South Atlantic, which can only be explained by
increased evaporation. The Pacific and Indian Oceans also show
increased salinity in the tropics and freshening at both
Poleward margins between the 1950s and 1990s. It is "tantalising to
speculate" that this "represents a trend in the
climate system that could be introduced by anthropogenic
sources," as the researchers who wrote up the effect
in the Pacific carefully noted. Water vapour is itself
a greenhouse gas, introducing the likelihood of positive
feedback leading to rapid change.
The biggest science questions, Dickson said, lie in understanding
the detail of the processes by which the ocean responds to climate change.
Important clues will be obtained by observing whether the climate
"signal" propagates southwards through the west Atlantic in years
or in months; this will be tested during the NERC-RAPID
programme.
We are seeing abrupt change in the oceans; the question is
what the effects will be, and where and when, in terms for example
of rainfall and drought.
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In order to test any model, as noted above,
we need as much data on the history of the
climate as we can get.
Professor Alan Kemp works on gathering evidence of
past climate from sedimentary rocks, in the School of Ocean and
Earth Science at Southampton Oceanography Centre. This field of
research has a curious history. It was founded in 1912 by
Gerhard De Geer, but then fell deeply out of fashion - before
being resuscitated in the 1970s. New technological developments
in taking cores of soft mud from the sea floor have brought this
archive of past climate change to the forefront of research.
De Geer, a Swedish geologist, naturally peered into
the extensive excavations for the expansion of Stockholm
at the turn of the last century. He saw clear layers in
the clay, centimetres thick. So he measured the thicknesses
of the layers and plotted them as a graph to produce what
Kemp called "some of the original wiggly lines in the
climate change library". De Geer discovered that the layers,
which he called "varves" matched from site to site,
and concluded that they were annual layers deposited by
meltwater from an ice sheet.
In 1912 de Geer published a "geochronology of the
past 12,000 years". In 1921 he published a paper
correlating the Swedish varves with laminated sediments
in the USA. The scientific community was not convinced
that individual varves could possibly correlate across
the ocean. As late as 1960 another researcher in the
field, Roger Anderson, had a funding application rejected
with the reviewer's curt comment "I don't believe
in varves."
Laminated sediments are not just the result of glacial
melting: many now studied result from increased algal
production in the summer resulting in organic matter
settling to the lake or sea floor. When
there's more oxygen in the bottom water, however, burrowing
creatures disrupt the sediment, the
matter decays and varves are not formed - itself a useful
marker of wider changes such as ocean circulation or the
total carbon turnover in the environment.
Drilled cores from Saanich Inlet, a fjord in British
Columbia, give a high-precision 6000-year record: 2100 years
ago their thickness abruptly doubles to 1 centimetre.
That indicates a change from a cold and dry to a warm and wet
climate.
Cores from the low-oxygen waters of the Santa
Barbara basin off California show another mechanism
of varve formation: the remains of individual
massive "blooms" of algae. During
El Niño events these are smaller
and the layers of silt and clay between them
are thicker due to storms and greater rainfall causing
floods and runoff from land.
Researchers have also done carbon-14 dating on
the microscopic skeletons of surface- and bottom-dwelling
foraminifera plankton in the Santa Barbara
sediments. This shows that at the times when the layers were
better preserved the low-oxygen bottom water was older - that is,
it came from deeper in the Pacific and had been away from
surface sources of fresh 14C
for longer. These changes correlate with changes in North Atlantic
ocean circulation, further demonstrating the global nature of these
climate system changes.
Further samples from the Cariaco basin off Venezuela show
that the Younger Dryas cooling episodes in the North Atlantic correlate
"practically instantly" with increased plankton
productivity. This is more evidence for the abruptness of
these changes and for them having occurred simultaneously around
the planet. The same events show up in cores off the
coast of Pakistan, as a weakening of the monsoon winds.
Varves produced from annual algal blooms have also been
found in the deep Pacific, promising records from up to five
million years ago that can distinguish individual years' climate.
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To get a general understanding of the climate, it
is also important to look even further back than the
few thousand years covered by varves and few hundred
thousand by ice cores.
Dr Hugh Jenkyns, a geologist from the Department of Earth Sciences
at the University of Oxford,
started by describing the "Palæocene-Eocene Thermal
Maximum" (PETM), a warm period some 55 million years ago.
Records of this in sedimentary rocks from the Maud Rise near
Antarctica show a 5°-6° rise in global average temperature
over a few thousand years - which is abrupt change for geologists
like Jenkyns.
This rise in temperature went hand in hand with a major
disturbance of the "carbon cycle" - the exchange of
the element between rocks, water, air and life-forms.
The evidence for this is that the sediments from warmer
periods have lower levels of the carbon isotope
13C.
His explanation invokes a mechanism for climate change that
has only been widely studied in the past few years: sudden releases
of methane from the ocean floor. Large amounts
of methane are known to be locked up there in methane hydrates,
in which each molecule of methane (CH4)
is bound up in a "cage" of water molecules. This
substance is not stable except at the enormous pressures of
the deeps and at low temperatures.
The carbon in the methane hydrates has a much smaller
proportion of the rare stable isotope
13C
mixed in with the common form
12C
than does the carbon now found at the
Earth's surface (in which about 1 per cent is
13C). The
difference is due to differential removal of the two
isotopes by bacteria over millions of years. So the
best explanation of the
13C
levels in the sediments is the release of methane from
hydrates - which would explain the rapid global warming,
for methane is a greenhouse gas in its own right, and
is oxidised very rapidly to CO2.
Small increases in water temperature - or perhaps
earthquakes acting below the seafloor and disrupting the sediments
- cause the methane hydrates to break down into gas which
bubbles up to the surface to cause global warming, releasing
yet more methane and producing rapid climate change
(in geologists' terms).
Sediments found beneath the Antarctic Ocean also tell us that
at the time of the PETM there was an increase in weathering
of the continental crust. For example, kaolininte is found
in this region - a tropical weathering mineral currently common
in the Niger delta.
In the Early Jurassic period, researchers similarly find
evidence for methane release together with tropical pollen
in sediments from Siberia. Fossils of belemnites, similar to modern
squid, provide a source of shell material for further study;
the 18O:16O
ratio in them confirms another warming 180 million years ago.
This episode also shows evidence of increased weathering.
And it coincides with the depositition of
black shale rocks, suggesting a burgeoning of
planktonic life in the oceans.
Similar shales suggest further warming episodes,
for example 120 million years ago in the Early Cretaceous
period. This event also correlates
with low 13C
in fossil wood and in sediments, suggesting another methane release, and
18O:16O
ratios showing raised temperatures. In fact, now people
are looking for potential methane release events "an
embarrassing number" are showing up. There is also
preliminary evidence of cooling events in the distant past.
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Climate modelling began, naturally, enough, with the
atmosphere and with the oceans. But, as noted above, meltwater
has played a large part in abrupt climate change in the past.
So it has recently become clear that modelling the detailed
behaviour of ice is an essential part of global climate
modelling - and this is what Dr Andrey Ganopolski works on at
the Potsdam Institute for Climate Impact Research in Germany.
The thing about the past is that it is different
from now: we must not feed our knowledge of current
phenomena like the thermohaline circulations into
models, but must model past climates from first
principles "if we want to get it not only right,
but for the right reason," as Ganopolski puts it.
Between ice ages, for example, the record shows
"Dansgaard-Oeschger oscillations", involving
temperature changes of up to half the difference between
ice ages and warm periods, over a decade or less. Atmospheric
models that do not include details of ice cover on the
sea and land cannot reproduce these.
But, Ganopolski points out, they can be modelled
as "hysteresis" effects - see graphic.
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A schematic "hysteresis curve"
showing a system which a relatively small "forcing"
can tip from one of two "bistable" states to another.
Starting at A, a small increase in forcing to
B tips the system into the state represented
by the lower curve. It will not return to the upper curve unless
the forcing is reduced to C.
The picture can be seen as a usable simplification
of a system flipping between two chaotic
attractors.
(The term "hysteresis" comes from the Greek for
"to be behind", referring to the "lag" in
the system.)
Illustration © Mike Holderness<
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One example is the probability that the THC
is bistable.
But tipping it from one state into another would take a massive
amount of fresh water - the output of one or two Amazon rivers.
Ganopolski proposes that sea ice is the missing ingredient.
In the current climate state, the Gulf Stream reaches into
the far North Atlantic. In a cold-period state, it does
not turn off entirely but stops short around 50° North
- the latitude of the tip of Cornwall. It would take only
a much smaller quantity of fresh water to tip the ocean circulation
from one state to the other.
This mechanism produces a possible answer to the unanswered
question, mentioned above, of how regular changes in the Earth's
orbit might lead to periodic ice ages. Random climate fluctuations
(weather, in other words) superimposed on these small changes in
solar energy distribution could produce "spikes" of
fresh water that tipped the ice state, that in turn encouraged
the ocean current state to tip.
Electrical engineers have long been familiar with noise
strengthening the effect of a weak periodic signal: they call
the phenomenon "stochastic resonance", where
"stochastic" is essentially a polite term for
"random".
Ganopolski and his colleagues in Potsdam has also recently succeeded
in simulating another effect that probably produces regularity
in climate oscillations: "slip-stick" motion of ice
sheets over land.
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The 100,000 year cycles of ice ages described above
only go back 800,000 years. During this time, ice cover
on land repeatedly grew for 90,000 years and then receded
for 5000 to 10,000 years.
Before that, the records show a 41,000-year cycle. What happened?
Professor Eli Tziperman models sea ice at the Weizmann Institute
in Rehovot, Israel and described his attempts, with
Dr Hezi Gildor, to explain this.
No single theory yet deals with all the questions.
Their proposed mechanism is based on two major feedbacks:
- the increased reflectivity or "albedo" of ice reflects
solar energy back into space and leads to further cooling; and
- as temperature increases the evaporation of water from
the oceans and the precipitation of snow over ice sheets
is faster - leading to Tziperman predicting that ice cover should
expand more in relatively warm periods; too much warming
melts ice, of course.
It it not feasible to run general climate models over
millions of years. So Gildor and Tziperman use a simplified
"box model" of the coupled climate system in an
abstract chunk of "planet"
having an atmosphere, an ocean, some land - and ice cover on
both ocean and land.
The mechanism based on Tziperman's model predicts that land-ice
should have started growing in interglacial (warm) periods;
some critical amount
of ice on land lowers the global temperature enough for the sea
to start freezing. This increases the planet's albedo, causes yet
more cooling and more freezing - so sea ice cover in the North
Atlantic expands as far south as Spain in a few decades.
In the deep cold that follows, the atmosphere and hence
snowfall essentially dry up - but the ice sheets on land
still evaporate slowly. So later, when the glaciers have
retreated enough to allow temperatures to rise, sea-ice melts
rapidly, heralding another warm interglacial period.
A novel - and controversial - feature of Tziperman's model,
then, is that land ice grows when sea ice is at a
minimum and vice versa. Other models have assumed
that they vary together.
The model produces roughly 100,000 year ice cycles whether the effects
of the 100,000-year Milankovitch variation in the Earth's orbit
are included or ignored. But this small effect is enough to lock the
"phase" of the ice cycles so that they do indeed
coincide with the solar cycle as observed.
In Gildor and Tziperman's models the ice cycle
carries on even when the thermohaline circulation is artificially
held constant: "We claim that the THC
is not an essential
part of the 100,000-year cycles," though they say it does
have a rôle in setting atmospheric
CO2
levels. Thus they propose, also controversially, that
CO2
levels have not driven
the 100,000-year cycle in the past, but that they have been a result
of changes in the southern oceans driven by an ice cycle in the
north. The model does not, however, say
anything about what today's unprecedented CO2
levels would do to the ice cycle itself.
They furthermore propose that the change
from 41,000-year to 100,000-year cycles 800,000 years ago happened
because before that the world was too warm for much sea ice to
form - so the rapid switching couldn't happen.
A lively debate followed this presentation.
Such simplified models cannot make actual predictions, as
Tziperman stressed in response to a question: what they
are for is to generate new ideas that can be tested in
global climate models. Research to deduce sea ice cover in
the past is also indicated. The fate of Tziperman's model
depends on whether evidence is found that land ice did
in fact start growing in warm periods.
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What happens if the thermohaline circulation (THC)
turns off? Dr Richard Wood does climate modelling at the Hadley Centre
for Climate Prediction and Research in the UK Meteorological Office.
The one question to which an absolutely definite answer can be
given is "is the THC important to climate" and the
answer is "yes". What the effect will be leads to
a group of interesting questions.
The Hadley Centre runs what the Chair, Jochem Marotzke,
describes as "probably the best climate model in the world."
And if you tell that model to kill the THC, it predicts that
the Nordic Sea cools by up to 12°C; northern Scotland by 8°C
and the UK as a whole by up to 5°C in the first 10 years.
Then, according to the model, in the third decade the THC starts
to recover slightly, the South Atlantic starts to warm and the UK
warms by a couple of degrees. For comparison, the coldest year on
record is 1740, in what's called the "Little Ice Age",
at 2.5°C colder than average. If the average fell 3°C,
you'd expect several years much colder than that.
How could the THC collapse? In principle, random variations
could tip it into the "off" state, but this is "unlikely".
All but one of nine different climate models predict that
increasing CO2 in the
atmosphere weakens the THC. In one model, a small increase in
the sensitivity of the rate of exchange of water between air
and ocean to temperature causes the THC to turn off and stay
off. Another, given
CO2 at four times
pre-industrial levels, has the THC turning off and then
re-starting 1000 years later. The pre-industrial level was
180 parts per million; it has already more than doubled, to 370ppm.
The conclusion from the present models, then, is that
failure of the THC has low probability. The enormous impact
that it would have if it did happen justifies intensive work
to refine the models, and politically raises the difficult
question of applying the "precautionary principle".
The first step is to understand why the models give different
answers. That should indicate what climate processes are more
important and need further study in the real world. Probably,
however, there will be "some processes that we're not
clever enough and not rich enough to pin down," as Wood
puts it. We're going to have to live with probabilistic
predictions - refining the odds on different things happening.
And if we did start to see signs that the THC might be
failing, it would probably be several years at least before
scientists could give a useful estimate of the chances that it was
actually happening, and we weren't just seeing a coincidental
run of bad weather.
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Working out what happens as more carbon dioxide is added
to the atmosphere entails knowing where it goes. The first
place that comes to the minds of most people who think about
this is certainly "into plants". But Professor Harry
Elderfield FRS, of the Department of Earth Sciences at the
University of Cambridge, is more interested in carbon in
rocks. Chalk, limestone and marble are, of course, calcium
carbonates (CaCO3),
and they represent a large proportion of the planet's
carbon reservoir.
Once carbon dioxide has dissolved in seawater, it is present
in three forms: dissolved CO2
gas; carbonate ions (CO3--);
and bicarbonate ions (HCO3-).
Rivers add 109 tonnes of dissolved carbonate to the
oceans each year: about that much is deposited on the ocean
floor. Before industry started adding
CO2
there were about
600 &mult; 109
tonnes of carbon in the atmosphere, and
38,000 &mult; 109
dissolved in the oceans. But the important thing to climate
change is the flows between the three zones. Research to detail
the 13C:12C
ratio of carbon in minerals - which indicates how much of it
originated in the biosphere and how much from minerals - is
urgently needed.
For every 10 molecules of carbonate deposited
as CaCO3, 6 molecules of
CO2 are released back into
solution. Adding CO2 to
the ocean shifts this ratio: it is expected to reach 10:8
by the year 2100.
On the face of it, this leads to yet another positive
feedback loop: increased CO2
dissolving from the atmosphere leads not only to deposition
in sediments but to CO2
levels increasing at an increasing rate.
But, Elderfield, pointed out, it's not so simple. Adding
CO2 also makes the water
more acidic, which decreases creation of carbonate
minerals. Experiments in the artificial coral reef within
Biosphere 2 in Arizona confirm this, as do measurements of
plankton skeletons in the real world. In sediments from the end
of the last ice age, these carbonate shells were almost twice
as heavy as they are now.
To add another level of complexity, there is the question of
how much of the carbon taken up by plankton near the surface
actually reaches the sea bed. The "ballast hypothesis",
published late last year, suggests that the more minerals,
including carbonate, are present, the more organic carbon makes
it all the way to the sea floor. Organic carbon not attached
to mineral "ballast" is more likely to be reabsorbed.
So we have another positive feedback: the more
CO2
there is at the ocean surface, the less carbonate is deposited
and the less carbon is removed from the ocean in sediments.
The amount thus "exported" is expected to halve by
2100. But the additional carbon is retained as carbonate
in solution in surface waters.
More research is, as they say, required to pin down these
complex interactions - and to incorporate them into global
climate models.
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No climate model can be complete, of course, without
taking account of the impact of carbon dioxide levels on
plants on land and vice versa. Here, too,
recent research has produced some surprises, challenging
the assumptions that seemed like good starting points and
continuing the trend that wherever we look we find more
complexity.
Carbon dioxide is not just a greenhouse
gas, Professor Christian Körner reminded the meeting,
but also the "food" for all plants, and
hence for all life (outside the deep ocean).
If we could deposit all the carbon in the atmosphere
as soot on the earth's surface, it'd be just 1.4mm thick.
This relatively tiny amount drives the activity of all
the plants and the soil they grow in - which together
contain 17 times as much carbon as does the air.
Before the age of industry, that layer of atmospheric
carbon would have been only 0.7mm thick. All plant life
evolved to cope with a CO2
level of 180 parts per million: species that couldn't
cope with that level are extinct.
So in evolutionary terms ecosystems have already
experienced abrupt change in their diet. The trees in
the park outside the meeting room started life with a
CO2
concentration at least 30 per cent less than what
they're coping with now.
Many people have contested that increased
CO2
levels will necessarily lead to plants taking
up more carbon and growing faster. But actual
long-term research, growing plants in artificially
CO2-enriched
atmospheres, shows that reality is by no means
so simple.
Firstly: if you grow seedlings in a tidy
greenhouse under increased
CO2,
they indeed shoot up like beanpoles as expected. But
adult plants may behave very differently.
Secondly, how plants respond to
CO2,
depends on whether the soil is acid or calcareous (chalky
or limey), whether they have an excess of nitrogen available
or not, and what they are. Körner's group at the Institute
of Botany of the University of Basel grew trees for three years
under various conditions. On acid soils, the European beech
Fagus sylvatica grows much less
in doubled CO2,
unless you add nitrogenous fertiliser; it grows larger
on limey soil whatever you do. Spruce, Picea abies,
always grows bigger when CO2
is doubled. This is the only such comparison done so far; all
experiments on plants to date need to be repeated on many
different species and all soil types.
Thirdly, the response of a plant community depends on
its diversity. An experiment with an artificial species
mix will miss something vital.
Fourthly, plants fed extra
CO2
exude carbohydrate into the soil, which affects
soil bacteria to make less nitrate available, which
restricts plant growth - unless fertiliser is added.
Similar effects apply for other plant nutrients.
Fifthly, CO2
response both depends on and affects water availability.
The group did an experiment involving releasing 2 tonnes
of cleaned industrial CO2
per day through a kilometre of piping into a natural
forest of 35-metre trees.
So: "have the trees read the textbooks?"
They should waste less water when
CO2
goes up and they can close their leaf pores.
The hornbeam Carpinus betulus behaves as
instructed. But the European beech doesn't respond in
this way at all.
Sixthly: there's the laughing gas effect. In Swiss
calcareous grassland, doubling
CO2
with earthworms present doubles nitrous oxide
emissions - and NO
is a far stronger greenhouse gas than
CO2.
Who could predict the chain of causality:
CO2
lets plants close their pores; they evaporate
less water; more water stays in the soil;
earthworms are happy; laughing gas comes out.
And, as Körner says, "this is not
stuff you could write in a proposal to a science
funding agency".
Seventhly: CO2
affects how nutritious plants are to animals (including
us). High CO2
boosts carbohydrate production, making proteins and
all other animal nutrients proportionately scarcer.
Lymantrius dispar larvae feeding on
oak trees grow 30 per cent less under raised
CO2
- but 37 per cent more on hornbeam. This will affect
the relative survival of the trees in a
high-CO2
world...
Eighthly, CO2
can make the difference between growth and no growth at all
for plants in shade. If you test the response of ivy
to CO2 in a
clean and well-lit lab, you find no response. In the
gloom of the forest, CO2
doubles its growth. The same goes for tropical lianas,
but more so: rainforests could be overrun. The current
models assume that tropical forests will stock more
carbon; the liana effect contradicts this and implies
higher atmospheric CO2
levels as trees die and decay earlier.
And ninthly, Körner repeats the warning implied
in all of the above: do not assume simple first-principles
effects. Everything is complicated and non-linear.
In conclusion, "Kyoto is driven by Rio."
Policy-making on climate change in the "Kyoto process"
meetings is dealing with carbon and the greenhouse effect; but
what, Körner asks, "if biodiversity - the
centrepiece of the Rio environment conference - can
reverse the predictions? What if the tropical forests
become a source rather than a sink of carbon?"
Those who talk about forests as "carbon sinks"
are, Körner pointed out in response to a question,
"mistaking turnover for capital". Trees grow;
they may grow faster under increased
CO2; then they die
and rot, probably faster under increased
CO2
too.
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If the presentations give the impression that a lot more
work needs to be done to make global climate models more
complete, think for a moment of the state of global economic
modelling. And global social modelling isn't even on the horizon.
So: what can we say about how society would cope with abrupt
climate change?
The "mantra" in discussing this question is
"low probability, high impact," as Professor Mike
Hulme, of the Tyndall Centre for Climate Change Research and
the School of Environmental Science, University of East Anglia,
recalled. There hasn't been a lot of social, economic or
ecological science done on what those impacts might be.
How likely is abrupt climate change and would it in fact
catastrophic?
Defining what is "abrupt" is a difficulty:
something that happens over the next 50 years is practically
instantaneous to a geologist but in the remote future
to an economist. So the Academy of Sciences report
Abrupt Climate Change: Inevitable Surprises
contains another definition, additional to those mentioned
above: it is "significant change in climate relative
to the background or accustomed climate
experienced by the economic or ecological system... having
sufficient impacts to make adaptation difficult".
The key point here is the expectation of what
the climate will be. Crudely, a society that is expecting
the climate to warm gradually by 5°C may be
able to adapt to it; but if that society instead found mean
temperatures dropping quickly by 2°C adaptation options
would be limited.
It may well be that the reversal of direction
of change is more significant in discussing adaptation
than is the rate of change. (The frequency of extreme
weather events is another factor to consider.)
Can we plan society so that it is more resilient to
both (or all three) types of change? If so, how?
The largest single example of a reversal in climate
change is the Sahel region south of the Sahara. From
the late 19th century (the time when Northern colonial
powers started taking an interest and records, as it
happens) to the 1950s the climate was getting wetter.
Then between 1952 and 1971 rainfall fell every year,
by 40 per cent in total.
So there was no momentum, interest or investment in coping
with drought: and this lack contributed to the significant
human disasters of the famines. But the drought did
not, as predicted, entirely destroy the communities of
the Sahel. The survivors still live there, rebuilding
sustainable societies.
Are there such things as "no regrets" adaptation
policies, or policies that increase adaptability to
all kinds of change? Funding equivalent to one per
cent of the RAPID programme is going
to examining such questions. Some idea of what defines
"success" in adaptation would be a good start.
We're not even sure what the effects of THC collapse
would be, apart from the temperature in North-West
Europe being lower than it would otherwise be. It's
tempting to assume that it reverses all the changes
expected with warming - for example that it makes winters drier
and summers wetter. Can the climate system really be
that symmetrical? Almost certainly not.
Scientists also need to get a lot better at explaining
the odds on a climate event - sustained cooling over five
years, for example - being a either sign of a systematic change,
or of mere natural variability. Policymakers who understood
the implications of probabilities for policymaking
would be a good thing, too.
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How does the possibility of climate change being abrupt
(rather than gradual) affect the way that policymakers make
decisions about it? Professor Charles Perrings, an economist
from the University of York, introduced the fundamental
distinction between policies of "mitigation" and
of "adaptation". The former set out to reduce the
likelihood of a damaging event - which assumes that there is
some action that can affect this. Policies for adaptation aim
to reduce the cost of the event.
A "war on poverty" would be mitigation.
"Wars" on drugs, terrorism and disease would be
adaptation, in that they aimed to deal with the consequences
of poverty.
Equally, reducing carbon dioxide emissions mitigates climate
change. Relocating populations away from drought-stricken or
flooded areas would be adaptation. The main response to
climate change in the past has been migration.
Economists' calculations of the cost and benefit of
mitigation depend critically on how far into the future
their model looks, and on the "discount rate"
that weights future effects. The latter is "what
makes the economist nobody's friend," Perrings
observed: "if we discount the future at three per
cent or five per cent a year, if something happens 30
years into the future and it costs a great deal, why worry?
It'll be pretty much fully discounted by the time you
bring [the cost] back to the present."
The climate system is a public good, and effort and
expenditure put into mitigation benefit the whole world. By
contrast, no-one gets a free ride on adaptation.
Unsurprisingly, then, economic models favour adaptation.
A major complication with abrupt change is that the way
people deal with low-probability, high-dread events is
irrational from an economist's point of view: compare
attitudes to car accidents and nuclear accidents. This leads
to the "precautionary principle" - that where
costs are uncertain, but both high and irreversible, society
should take action before the uncertainty is resolved.
Abruptness, then, favours mitigation. The economic
models used in assessing climate change need to be changed
to take account of this. They also need to deal with the
problem of equity: that abrupt climate change is likely
to hurt poor people more than the rich.
But it also encourages rich countries to believe that
they will win out, in a competitive sense, through waiting
and betting on their capacity to adapt. Their (poor)
competitors would lose out twice: absolutely, from the direct
costs of climate change, and relatively from rich countries'
advantage in adapting better. What that "wait" policy
ignores, however, are the costs of the resulting increasing
inequality: wars on terrorism, disease and migrants.
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For scientists, the purpose of such meetings is to
identify areas of uncertainty and research that can
address them. Dr Meric Srokosz, who works at the James
Rennell Division for Ocean Circulation and Climate at the
Southampton Oceanography Centre, concluded this one by
outlining research under the UK Natural Environment
Research Council (NERC) Rapid Climate Change programme
(RAPID).
The programme involves scientific collaboration
with Norway, the USA and other countries.
It has £20 million of funding over
six years. Its main focus is the THC;
research projects include present-day observations, collecting
data about its past state, and modelling it. Understanding of
the potential for rapid climate change will depend on
linking the results of these.
The objectives (scientific challenges) are:
- To set up a prototype system to observe the strength and
structure of the THC in the North Atlantic; this may lead
to an "early warning" system.
- Other observations of the oceans, sea-ice and ice sheets.
- Gathering data on past states and refining error estimates in these.
- Developing high-resolution models to synthesise these data.
- Developing models of varying complexity to understand and predict changes.
- Examining responses to changes in the THC through, for example, the
pattern of storm tracks changing atmospheric energy and moisture transport.
- Testing models against the data.
- Attempting to quantify the probability and size of future climate change,
and to calculate the uncertainty in these estimates.
To achieve the last objective will require bringing together
the results of all the others and, crucially, integrating consideration
of processes that take place on different time and space scales.
For details of the projects funded under the RAPID programme,
and links to programmes with which it is co-ordinating, see
http://rapid.nerc.ac.uk
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Contacts
The speakers, in alphabetical order:
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10 April 2003
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