Advances in paleo-ENSO: a past to future perspective · (Yeh et al., 2009; others) ENSO SST...
Transcript of Advances in paleo-ENSO: a past to future perspective · (Yeh et al., 2009; others) ENSO SST...
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Kim M. Cobb @coralsncavesPamela Grothe, Hussein Sayani,
Alyssa Atwood, Tianran Chen, Intan Nurhati
Nick Hitt, Gemma O’Connor
Earth and Atmospheric Sciences, Georgia Tech
Samantha Stevenson, UCSB
Chris Charles, SIO, UCSD
Larry Edwards, Hai Cheng, UMN
Advances in paleo-ENSO:
a past to future perspective
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Google Earth
Palmyra (6N, 162W)Fanning (4N, 160W)Christmas (2N,157W)
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https://socialforecasting.files.wordpress.com/2015/08/el-nino-godzilla.jpg
2015/2016 El Niño
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https://socialforecasting.files.wordpress.com/2015/08/el-nino-godzilla.jpg
1997/98 El Niño
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Is ENSO changing?
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How much has it varied in the past?
What has governed those variations?
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living coral
last 50-100 yrs
“fossil” coral
last 7000 yrs
U/Th dated
drilled via SCUBA
storm/tsunami deposits
scattered on beaches
across the tropics
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1mm sampling = monthly resolution
Coral d18O = SST + d18Oseawater
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1mm sampling = monthly resolution
Coral d18O = SST + d18Oseawater
co-varies with SSS,
for the most part
Fairbanks et al.,1997
Schmidt, 1999
LeGrande & Schmidt, 2006
Conroy et al., 2014
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during
El Niño
events
Feb 2016
OISST
Jan-Mar 2016
OLR
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during
El Niño
events
Feb 2016
OISST
Jan-Mar 2016
OLR
warm SST drives
coral d18O down
rainy conditions
drive coral d18O down
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SS
T (
ºC)
d1
8O
(‰
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Christmas coral d18O vs. SST
grey=OISSTcolors=coral d18O
Evans et al., 1999Nurhati et al., 2009
Grothe et al., in prepO’Connor et al., in prepCoral d18O records are
interchangeable with SST.
On interannual timescales, SST drives ~80-90% of coral d18O variability.
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plotting interannual coral d18O variability
over the last 7,000 years . . .
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Grothe et al., under reviewCobb et al, 2013Cobb et al., 2003McGregor et al., 2013Grothe et al., in prepWoodroffe et al., 2003
Interannual variability over 7,000yrs
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2°N-2°S temperature evolution in the Pacific : 2 simulations
6k
0k
PI
250 running mean 250 running mean
Departure from 250 running mean
from Pascale Braconnot, IPSL
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Grothe et al., under reviewCobb et al, 2013Cobb et al., 2003McGregor et al., 2013Grothe et al., in prepWoodroffe et al., 2003
Is late 20th century ENSO variability
stronger than the pre-industrial?
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Null hypothesis: observed distribution reflects sub-
samples from a highly variable, yet stationary, system
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Null hypothesis: observed distribution reflects sub-
samples from a highly variable, yet stationary, system
1) Linear Inverse Model – 20,000yrs of NIÑO3.4
(Capotondi & Shardeshmukh, 2017)
2) Last Millennium Ensemble – 10 x 1000yrs of
NIÑO3.4
(Otto-Bleisner et al., 2016)
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Grothe et al., In review
Interannual coral d18O is stronger
in last 50yrs vs pre-industrial period
20,000yrs
statistical model10,000yrs
dynamical model
Difference in std dev Difference in std dev
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Additional paleo-evidence for a recent
strengthening of El Niño variability:
Li et al., 2013 multi-proxy incl Java tree rings
McGregor et al., 2013 Pacific multi-proxy
Liu et al., 2017 Taiwan tree d18O
Cobb et al., 2013; Grothe et al., under review
Line Islands coral d18O
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Three explanations for observed intensification:
ENSO SST variance higher in central equatorial Pacific
(Yeh et al., 2009; others)
ENSO SST variance higher overall
(Cai et al., in press)
“More rainfall bang for our SST buck” – ENSO
hydrological impacts larger in a warming world
(Power et al., 2013; Cai et al., 2014)
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Three explanations for observed intensification:
ENSO SST variance higher in central equatorial Pacific
(Yeh et al., 2009; others)
ENSO SST variance higher overall
(Cai et al., in press)
“More rainfall bang for our SST buck” – ENSO
hydrological impacts larger in a warming world
(Power et al., 2013; Cai et al., 2014)
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Coral d18O ensembles of major El Niño events:
SST vs hydrological contributions?
Gemma O’Connor et al., in prep
grey = SST
colors = coral d18O1997/98
2015/16
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O’Connor et al., in prep
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O’Connor et al., in prep
2015/2016 coral d18O
80% SST,
20% seawater d18O
coral d18O
SST
SSS
seawater d18O
1997/98 2015/16
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Isotope-enabled
models link
dynamics of
ocean and
atmosphere
to seawater
d18O variability
e.g. isoROMS
(Stevenson et
al., 2018)
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Nicholas Hitt et al., in prep
1950 1960 1970 1980 1990 2000 2010Time (Yr)
-5.6
-5.2
-4.8
-4.4
-41
8O
24
26
28
30
SS
T (°C
)
1985 +/- 3
1996 +/- 22002 +/- 2
1992 +/- 21962 +/- 2 1971 +/- 2
1952 +/- 2
1890 1892 1894 1896 1898
-5.6
-5.2
-4.8
-4.4
-4
18O
1898 +/- 2
1914 1916 1918 1920 1922
Time (Yr)
1919 +/- 3
1923 1925 1927
1930 +/- 2
1929 1931 1933 1935 1937 1939
1934 +/- 2
Goal: continuous reconstruction over last 200+yrs
Collecting,dating,analyzingyound fossil corals
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Summary
- empirical evidence that ENSO variability is already
stronger (up to 30%) than pre-industrial
- new reconstructions allow us to address
interannual & decadal-to-centennial-scale
variability at monthly resolution over the last 200yrs
- complements rich archive of last millennium
data and Holocene data (data—model comparison)
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Summary
- empirical evidence that ENSO variability is already
stronger (up to 30%) than pre-industrial
- new reconstructions allow us to address
interannual & decadal-to-centennial-scale
variability at monthly resolution over the last 200yrs
- complements rich archive of last millennium
data and Holocene data (data—model comparison)
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BEFORE AFTER
This time, it’s personal.
10 months of bleaching-level
thermal stress 85% of reef killed
recovery will take decades, but . . .
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Isn’t it ironic?
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Some simple math
In 2017, I flew 110,000 miles = 18,000 lbs CO2
My total CO2 footprint in 2017 = 25,000 lbs CO2
Average American = 40,000 lbs CO2/yr
Average Ecuadorian = 6,200 lbs CO2/yr
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Some simple math
In 2017, I flew 110,000 miles = 18,000 lbs CO2
My total CO2 footprint in 2017 = 25,000 lbs CO2
Average American = 40,000 lbs CO2/yr
Average Ecuadorian = 6,200 lbs CO2/yr
ENSO2018 speakers & program committee =
220,000 lbs
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GLOBAL WARMING OF 1.5 °C an IPCC special report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty
Summary for Policymakers This Summary for Policymakers was formally approved at the First Joint Session of Working Groups I, II and III of the IPCC and accepted by the 48th Session of the IPCC, Incheon, Republic of Korea, 6 October 2018.
SUBJECT TO COPY EDIT
- aggressively reduce emissions now
- requires large-scale cultural shift
- natural carbon sequestration is key
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My commitment
fly
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Tell me what you think
Inform student projects
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Paypal to
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suggestion:
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Dee et al., in prep
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(all tropical eruptions)
a. R adiative forcing < 0W /m 2, n=20 b. R adiative forcing < -15W /m 2, n=3
(1257 Sam alas only)
c. R adiative forcing < -30W /m 2, n=1-1.0
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-6 -4 -2 E rup +2 +4 +6 -6 -4 -2 E rup +2 +4 +6 -6 -4 -2 E rup +2 +4 +6
M C A P erm utation Test, 95% C I
La N iña-like (+ δ18O anom alies)
E l N iño-like ( - δ18O anom alies)
E ruption Year
Figure 4:Superposed E poch A nalysis for Volcanic Forcing.The figure show s com posite coralδ18O response forthe 5 years before and 5 years follow ing stacked eruptions fordifferentforcingthresholds (and see SIFig. 3). a. 0 W /m 2 (alltropicaleruptions),b. -15 W /m 2,c. -30 W /m 2
(Sam alas only).A llD ata B andpass Filtered at2-7 Years,and C oralTim e A xis +1.W e perform eda M onte C arlo resam pling test,and the 1000 realizations of the data are show n in grey. A re-sponse exceeding the grey error w indow suggests a non-random result. 11-year w indow s of thePalm yra δ18O data,centered aboutvolcanic eruptions w ith varying forcing thresholds. D ata hasbeen norm alized and stacked.R ed barsindicate an ElN ĩno-like response,and blue barsindicate aLa N ĩna-like response.G ray shaded area show sthe 2.5% and 97.5% confidence intervalsfor1000M onte C arlo random sam plings ofthe data,indicating thatthe coralresponse to volcanic forcingis notsignificant. Shifting earlier coralpieces forw ard (C t+1) 1 year results in a significant ElN ĩno-like response in the EN SO -bandpass filtered data atYear0 (eruption year).
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(all tropical eruptions)
a. R adiative forcing < 0W /m 2, n=20 b. R adiative forcing < -15W /m 2, n=3
(1257 Sam alas only)
c. R adiative forcing < -30W /m 2, n=1-1.0
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1.0
-1.0
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-0.2
0
0.2
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0.6
0.8
1.0
-1.0
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-0.4
-0.2
0
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0.4
0.6
0.8
1.0
-6 -4 -2 E rup +2 +4 +6 -6 -4 -2 E rup +2 +4 +6 -6 -4 -2 E rup +2 +4 +6
M C A P erm utation Test, 95% C I
La N iña-like (+ δ18O anom alies)
E l N iño-like ( - δ18O anom alies)
E ruption Year
Figure 4:Superposed E poch A nalysis for Volcanic Forcing.The figure show s com posite coralδ18O response forthe 5 years before and 5 years follow ing stacked eruptions fordifferentforcingthresholds (and see SIFig. 3). a. 0 W /m 2 (alltropicaleruptions),b. -15 W /m 2,c. -30 W /m 2
(Sam alas only).A llD ata B andpass Filtered at2-7 Years,and C oralTim e A xis +1.W e perform eda M onte C arlo resam pling test,and the 1000 realizations of the data are show n in grey. A re-sponse exceeding the grey error w indow suggests a non-random result. 11-year w indow s of thePalm yra δ18O data,centered aboutvolcanic eruptions w ith varying forcing thresholds. D ata hasbeen norm alized and stacked.R ed barsindicate an ElN ĩno-like response,and blue barsindicate aLa N ĩna-like response.G ray shaded area show sthe 2.5% and 97.5% confidence intervalsfor1000M onte C arlo random sam plings ofthe data,indicating thatthe coralresponse to volcanic forcingis notsignificant. Shifting earlier coralpieces forw ard (C t+1) 1 year results in a significant ElN ĩno-like response in the EN SO -bandpass filtered data atYear0 (eruption year).
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