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Paleo climate
dynamics:
Why paleo...? An interest in past climate dynamics
may seem esoteric to the uninitiated, especially to
students with physics background, and in particular
interest in events that have occurred tens of
millions of years ago. Still, there are some very
good reasons to be interested in past climate
processes. First, there is the good old
"understanding the past is a necessary condition for
being able to correctly predict the future". Seems
banal, but this turns out to be a surprisingly
relevant motivation. Second, and perhaps no less
importantly, it turns out that the geologic past
contains wonderful climate mysteries of dramatic
events which are still not understood and pose
challenging puzzles waiting to be solved.
Our work on paleo climate may be divided into
several areas,
Glacial cycles: during the past 800,000 years
or so, the earth went through dramatic ice ages every
100,000 years. During each of these events large
parts of North America and Europe were covered by up
to 3km high ice sheets, sea level dropped by 130
meter, and the co2 concentration dropped by some 30%.
These events are by far the largest climate signal
over the past 1 million years, and we still do not
understand what caused them. A possible mechanism
for these glacial-interglacial oscillations was
proposed
(with Hezi
Gildor) which we call the "sea-ice switch
mechanism": a rapid growth or melting of sea ice
cover in the northern polar oceans is proposed to
shift the global climate system from a growing
land-glacier mode (glaciation) to a withdrawing
glacier mode (deglaciation).
[e.g., 1,
2]
 |
The land ice volume (upper panel)
and sea ice area (lower) as function of month
and time during the glacial cycle from a model
of the coupled ocean, atmosphere, land ice and
sea ice components of the climate
system.
|
Abrupt climate change: ice core records
from Greenland show that climate was very unstable
during the last ice age. "DO events" occurred every
1500 years or so, involving abrupt warming events by
10 degree C within 20 years, lasting a few hundred
years and followed by abrupt cooling. "Heinrich
events" occurred every 7-10,000 years, and involved
massive collapses of ice from the land into the
ocean, with a significant climate impact around the
North Atlantic. We proposed that sea ice is likely
to be involved in these events, strongly amplifying
the climate signal created by changes in the ocean
thermohaline circulation. [e.g.,
1,
2,
3]

The response of an atmospheric general circulation
model to changes in surface sea ice cover,
demonstrating that sea ice has a dramatic effect
which is likely the explanation for the DO warming
events observed in the Greenland ice cores.
Equable climate dynamics: The
climate of the Cretaceous and Eocene (146-34 Million
years ago) was exceptionally warm. Crocodiles and
Palm trees, which cannot withstand a night of sub
freezing temperatures, could be found in the waters
of Greenland and in the middle of present day
Canada, were current winter temperatures can drop to
-40C. State-of-the-art climate general circulation
models cannot reproduce the exceptionally warm
continental winter temperature during these periods
even with very high atmospheric CO2 concentrations.
One wonders whether these models are missing some
significant feedback that may also affect their
future global warming predictions.
We proposed
(with
Dorian Abbot) that proxy observations of warm
high latitude temperatures and low equator to pole
temperature difference during the Eocene and other
similar equable climate periods can be explained by
tropical-like deep atmospheric convection at
high-latitudes. The radiative effects of the high
tropospheric clouds associated with the atmospheric
convection act to keep the surface warm, and this in
turn maintains the convection active. This positive
cloud feedback activates as the CO2 concentration is
increased, and can explain the absence of ice at
high latitudes during the winter as well as the
small amplitude of the seasonal cycle. These ideas
are developed and investigated using a hierarchy of
models: from analytically solvable models, via a
simple zonally-averaged two-level atmospheric model
(the NCAR Single Column Model with state-of-the-art
atmospheric physics, high vertical resolution, a
full seasonal cycle, a thermodynamic sea ice model,
and a mixed layer ocean) and finally 3D
state-of-the-art IPCC coupled ocean-atmosphere-sea
ice models used for global warming studies.
[1, 2]

Two state-of-the-art coupled climate models
demonstrating the convective cloud feedback in a
future greenhouse warming scenario. Shown are
atmospheric variables over the arctic for the GFDL
model (bottom) and NCAR model (top), both at
CO2=1120 ppm, and averaged over the polar night
winter months (Dec, Jan, Feb). The NCAR model
shows (from left to right) a complete arctic sea
ice melting, surface temperature increasing up to
25-30C, large cloud radiative forcing, and
increased convective precipitation, showing that
atmospheric convection is active, leading to the
clouds, cloud radiative forcing, surface heating
and sea ice melting. The GFDL model shows this
feedback active only over a small part of the
arctic. Somewhat increased CO2, or longer
integration period, are very likely to lead to this
feedback also showing up over the entire arctic in
the GFDL model. The convective cloud feedback
originally proposed to explain the Eocene climate
therefore seems also relevant for high CO2 future
global warming scenarios.
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