Studying Paleoclimate to Reduce Climate Uncertainty

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Studying Paleoclimate to Reduce Climate Uncertainty Dorian S. Abbot

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Studying Paleoclimate to Reduce Climate Uncertainty. Dorian S. Abbot. Why do we study paleoclimate ?. To improve climate models and decrease climate uncertainty. Probability. Probability. Severity of Future Climate Change. It’s fun!. What timescales are we talking about?. - PowerPoint PPT Presentation

Transcript of Studying Paleoclimate to Reduce Climate Uncertainty

Page 1: Studying  Paleoclimate to Reduce Climate Uncertainty

Studying Paleoclimate to Reduce Climate Uncertainty

Dorian S. Abbot

Page 2: Studying  Paleoclimate to Reduce Climate Uncertainty

Severity of Future Climate ChangeProbabilityP

roba

bilit

y

To improve climate models and decrease climate uncertainty

Why do we study paleoclimate?

It’s fun!

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II. Equable climates

Snowball Earth Episodes

Tim

e

Millions of years!!!

I. Glacial cycles

What timescales are we talking about?

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I. Glacial Cycles

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Mud

Drill

The distant past

Now!

Foraminifera

Die and settleto bottom

We can reconstruct climate using plankton fossils.

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Temperature Fractionation

18Occ- 18Osw

T [°

C]

30

14

-3.0 0.0

[Erez and Luz, 1983]

The oxygen isotopic ratio in the shells of foraminifera tells us about ocean temperatures and global ice volume.

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[Lisiecki and Raymo, 2005]

~100 kyr cycles ~40 kyr cycles

Time before present (kyr)

warm, less ice

cold, more ice

The climate of the past few million years has been characterized by glacial cycles.

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Time before present (kyr)

Air bubbles in Greenland and Antarctic ice give us a similar temperature story and yield atmospheric composition.

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Now I point out a paleoclimate statistical problem (and get myself in trouble).

Eric SwitzerKavli Institute for Cosmological PhysicsCanadian Institute for Theoretical Astrophysics

Ask this guy questions...

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[Lea et al., 2002]

If we had an independent way to determine temperature (Mg/Ca) we could say something about sea level.

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Often error is unreported, or one measurement error value is given for a paleoclimate timeseries.

[Lea et al., 2002]

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As we know,There are known knowns.There are things we know we know.We also knowThere are known unknowns.That is to sayWe know there are some thingsWe do not know.But there are also unknown unknowns,The ones we don't knowWe don't know.

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Calibration error may be much larger than measurement error.

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The MCMC reconstruction of SST from Mg/Ca including error is more informative than the original reconstruction.

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Using MCMC we can reconstruct error bars on δ18O seawater including calibration error as a function of time.

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II: Equable climates

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The continental position was similar during the Eocene.

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One climate reconstruction method is to look for the nearest living modern analog of fossils.

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Toothed margin

[Wilf, 1997]

Smooth margin

The proportion of smooth leaf margin species in a forest is correlated with temperature.

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Mud

Shallow – planktonic foraminifera

Deep – benthic foraminifera

Shallow and deep foraminifera can be used to reconstruct climate for the past 100 million years.

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[Zachos et al., 2001]

Benthic foraminifera show that the climate has gradually cooled for the last 50 millions years.

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Eocene

[Greenwood and Wing, 1995]

Modern

During equable climate periods the high latitudes were much warmer, esp. during winter, relative to the tropics.

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[Pagani et al., 2005] [Pearson and Palmer, 2000]

We have very little idea what the atmospheric CO2 concentration was more than 800,000 years ago.

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The percentage of leaf epidermal cells that are stomata is sometimes used to reconstruct paleo-CO2.

[Beerling and Royer, 2002]

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Modern Model SSTEocene Model SSTEocene Proxy SST

[Huber and Sloan, 2001]

Coupled global climate models traditionally had difficulty reproducing Eocene proxy reconstructions.

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Models do reproduce Eocene temperature gradients if you believe it was much hotter in tropics.

model landdata land

model seadata sea

[Huber and Caballero, 2011]

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[Royer et al., rejected]

Comparison of MCMC reconstruction of SST from Mg/Ca including error to original reconstruction

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Most of the uncertainty in climate models comes from subgrid-scale “physical” parameterizations.