Amul&'proxymodel'testedNAO reconstruc&onforthelastmillennium · The"reconstruc&on"technique" It is...
Transcript of Amul&'proxymodel'testedNAO reconstruc&onforthelastmillennium · The"reconstruc&on"technique" It is...
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A"mul&'proxy"model'tested"NAO"reconstruc&on"for"the"last"millennium""
Pablo&Ortega&(1,2),&Flavio&Lehner&(3,4),&Didier&Swingedouw&(5),&Valerie&MassonBDelmoDe&(1),&Christoph&Raible&(3,4),&Mathieu&Casado&(1)&and&Pascal&Yiou&(1)&&
& & & &(1)&LSCE/IPSL,&GifBsurBYveDe&(France)&
& & & &(2)&LOCEAN/IPSL,&Paris&(France)&
& & & &(3)&KUP,&University&of&Bern&(Switzerland)&
& & & &(4)&OCCR,&University&of&Bern&(Switzerland)&&
& & & &(5)&EPOC,&Universite&Bordeaux&I&(France)&
& &&
& & & &&
Green Greenland"
""
AMA2015 / Workshop on storm-tracks, 21-23/01/2015
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The NAO is the dominant mode of atmospheric variability in the North Atlantic
Spatial'pattern'in'SLP'
Defini&on"of"the"NAO"
NAO'variability'since'1823'(Vinther'et'al'2003)'
-2
0
2
1840 1860 1880 1900 1920 1940 1960 1980 2000Time (years)
NA
O+
NA
O -
1&
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The NAO is the dominant mode of atmospheric variability in the North Atlantic
Spatial'pattern'in'SLP'
Defini&on"of"the"NAO"
NAO'variability'since'1823'(Vinther'et'al'2003)'
-2
0
2
1840 1860 1880 1900 1920 1940 1960 1980 2000Time (years)
NA
O+
NA
O -
2&
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The NAO is the dominant mode of atmospheric variability in the North Atlantic
Spatial'pattern'in'SLP'
Defini&on"of"the"NAO"
NAO'variability'since'1823'(Vinther'et'al'2003)'
-2
0
2
1840 1860 1880 1900 1920 1940 1960 1980 2000Time (years)
NA
O+
NA
O -
3&
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Casado et al (2013)
Defini&on"of"the"NAO"
Spatial'pattern'in'SLP'
The NAO is the dominant mode of atmospheric variability in the North Atlantic
NAO'variability'since'1823'(Vinther'et'al'2003)'
-2
0
2
1840 1860 1880 1900 1920 1940 1960 1980 2000Time (years)
NA
O+
NA
O -
3&
NAO'impact'on'winter'precipitation'ERABInterim&(1990B2010)&
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NAO'impact'on'winter'temperature'
Casado et al (2013)
Defini&on"of"the"NAO"
Spatial'pattern'in'SLP'
The NAO is the dominant mode of atmospheric variability in the North Atlantic
NAO'variability'since'1823'(Vinther'et'al'2003)'
-2
0
2
1840 1860 1880 1900 1920 1940 1960 1980 2000Time (years)
NA
O+
NA
O -
3&
NAO'impact'on'winter'precipitation'ERABInterim&(1990B2010)&
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Role"of"the"NAO"in"the"last"millennium"
4&
NAO impact on winter precipitation
Precipitation sensitive proxy
Drought severity proxy
Casado et al (2013)
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Role"of"the"NAO"in"the"last"millennium"
Trouet et al (2009)
Bi-proxy NAO reconstruction
4&
NAO impact on winter precipitation
Precipitation sensitive proxy
Drought severity proxy
Casado et al (2013)
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Role"of"the"NAO"in"the"last"millennium"
Trouet et al (2009)
Northern Hemisphere temperature reconstructions for the last millennium
Frank et al (2010)
Medieval"Warm"Period"LiBle"Ice"Age"
Bi-proxy NAO reconstruction
5&
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Role"of"the"NAO"in"the"last"millennium"
Trouet et al (2009)
Northern Hemisphere temperature reconstructions for the last millennium
Frank et al (2010)
Medieval"Warm"Period"LiBle"Ice"Age"
Bi-proxy NAO reconstruction
5&
NAO'impact'on'winter'temperature'
Casado et al (2013)
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Role"of"the"NAO"in"the"last"millennium"
Trouet et al (2009)
Is it robust or does it arise from the limited selection of proxies?
¿? Bi-proxy NAO reconstruction
5&
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NAO correlation with winter precipitation
Robustness"of"Trouet’s"NAO"reconstruc&on"
6&
Lehner et al (2012) Perfect"model"approach"
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NAO correlation with winter precipitation
Robustness"of"Trouet’s"NAO"reconstruc&on"
6&
Lehner et al (2012) Perfect"model"approach"
l
l
Normalized PDF of 50-yr moving correlations in PMIP3 millennial runs
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NAO correlation with winter precipitation
Robustness"of"Trouet’s"NAO"reconstruc&on"
6&
Lehner et al (2012) Perfect"model"approach"
Normalized PDF of 50-yr moving correlations in PMIP3 millennial runs
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NAO correlation with winter precipitation
Correlations for alternative pseudo-reconstructions
Robustness"of"Trouet’s"NAO"reconstruc&on"
6&
Lehner et al (2012) Perfect"model"approach"
Normalized PDF of 50-yr moving correlations in PMIP3 millennial runs
Are there other proxy records available that could be used to produce a more robust NAO reconstruction?
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Millennial"proxies"sensi&ve"to"the"NAO"
Trouet et al (2009)
1." Significant& (α<0.10)& correla[on&with& the&NAO& in& their&overlapping"period""!2."Documented"rela&onship"with&a&climate" variable" easily& extractable&from&models&&3."Annual"or"seasonal"resolu&on"
We identify 48 proxy records
34 from tree-rings 8 from ice cores 4 from lake sediments 2 from speleothems
7&
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Millennial"proxies"sensi&ve"to"the"NAO"
Trouet et al (2009)
1." Significant& (α<0.10)& correla[on&with& the&NAO& in& their&overlapping"period""!2."Documented"rela&onship"with&a&climate" variable" easily& extractable&from&models&&3."Annual"or"seasonal"resolu&on"
We identify 48 proxy records
34 from tree-rings 8 from ice cores 4 from lake sediments 2 from speleothems
Thanks to their annual resolution we can produce a yearly resolved NAO reconstruction in which to test the impact of the solar and volcanic forcings
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The"reconstruc&on"technique"
It is based on a Principal Component Regression (PCR), that in essence represents a multivariate regression using the Principal Components of the standardised proxies as predictors
8&
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The"reconstruc&on"technique"
It is based on a Principal Component Regression (PCR), that in essence represents a multivariate regression using the Principal Components of the standardised proxies as predictors To identify which features are robust, an ensemble of 200 reconstructions is produced, by considering: "
1) 50 different subsets of years for calibration/validation Calibration: in a random draw of 117 years from the common period to all proxies and the NAO: 1823-1969
Validation: in the remaining 30 years
8&
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The"reconstruc&on"technique"
It is based on a Principal Component Regression (PCR), that in essence represents a multivariate regression using the Principal Components of the standardised proxies as predictors To identify which features are robust, an ensemble of 200 reconstructions is produced, by considering: "
1) 50 different subsets of years for calibration/validation Calibration: in a random draw of 117 years from the common period to all proxies and the NAO: 1823-1969
Validation: in the remaining 30 years 2) Four subsets of proxies depending on their type
All proxy types, ice cores excluded, tree-ring excluded, and tree rings plus ice cores
8&
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Betaweight ensemble sum for each proxy
124 80-4-8-12-16
Calibration Constrained Reanalysis Constrained Model Constrained
Refining"the"proxy"selec&on"
Calibration Constrained
41 proxies
9&
Betaweight ensemble sum for each proxy
124 80-4-8-12-16
Calibration Constrained Reanalysis Constrained Model Constrained
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Betaweight ensemble sum for each proxy
124 80-4-8-12-16
Calibration Constrained Reanalysis Constrained Model Constrained
Refining"the"proxy"selec&on"
9&
Betaweight ensemble sum for each proxy
124 80-4-8-12-16
Calibration Constrained Reanalysis Constrained Model ConstrainedCalibration Constrained
Reanalysis Constrained
41 proxies 10 proxies
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Betaweight ensemble sum for each proxy
124 80-4-8-12-16
Calibration Constrained Reanalysis Constrained Model Constrained
Refining"the"proxy"selec&on"
Calibration Constrained (NAOcc)
Reanalysis Constrained (NAOrc)
Model Constrained(NAOmc)
41 proxies 10 proxies 7 proxies
9&
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Cor
rela
tion
Coe
ffici
ents
0
0.2
0.4
0.6
0.8
●*
**
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NAOccNAOrcNAOmc
median
quartile 3
quartile 1
max
min
Ensemble
Ensemble Mean
First significant correlation
Refining"the"selec&on"of"ensemble"members"
Correlation with NAOVinther
1823-1969
10&
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Refining"the"selec&on"of"ensemble"members"C
orre
latio
n C
oeffi
cien
ts
0
0.2
0.4
0.6
0.8
●*
**
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NAOccNAOrcNAOmc
median
quartile 3
quartile 1
max
min
Ensemble
Ensemble Mean
First significant correlation
Correlation with NAOVinther
1823-1969 Calibration Validation
We only keep the realizations whose correlation is in the upper quartile The calibration, reanalysis and model constrained NAO gives better validation scores
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Refining"the"selec&on"of"ensemble"members"C
orre
latio
n C
oeffi
cien
ts
0
0.2
0.4
0.6
-0.2
Jones et al (1999)
[1781-1822]
Luterbacher et al (2002)
[1659-1822]
Kuettel et al (2010)
[1751-1822] Glueck & Stockton (2001)
[1429-1822]
Luterbacher et al (2001)
[1500-1822]
Cook et al (2002)
[1400-1822]
Trouet et al (2009)
[1049-1822]
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Correlation with other NAO reconstructions
Jones et al (1999)
[1781-1822]
We only keep the realizations whose correlation is in the upper quartile The calibration, reanalysis and model constrained NAO gives better validation scores
Luterbacheret al (2002) [1659-1822]
Kuettel et al (2010)
[1751-1822] Glueck &
Stockton (2001) [1429-1822]
Luterbacher et al (2001) [1500-1822]
Cook et al (2001)
[1400-1822]
Trouet et al (2009)
[1049-1822]
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The"final"ensemble"NAO"reconstruc&on"
1200 1400 1600 1800 1850 1900 1950
NA
O p
hase
-2
0
2
4
-4
Cor
rela
tion
��
0
���
Time (years)1200 1400 1600 1800 1850 1900 1950
NAOTrouet
NAOVinther
Calibration, reanalysis and model constrained NAO ensemble
The reconstruction does not support a persistent positive NAO in medieval times, although its suggest predominantly positive phases during the 13th century
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Evalua&on"in"a"perfect"model"approach"
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7ZL\KVë5(6Lehner
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5VYTHSPaLK�7+-
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PMIP3 ENSEMBLE
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Our mean ensemble reconstruction clearly outperforms the bi-proxy timeseries from Trouet et al (2009)
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Impact"of"the"external"forcings"• No clear response to solar irradiance is identified
14&
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Impact"of"the"external"forcings"• No clear response to solar irradiance is identified • Positive NAO phases appear 2 years after major volcanic
eruptions
Lag -1 In phase Lag 1 Lag 2 Lag 3 Lag 4 Lag 5
Gao et al (2008) Sigl et al (2014)Crowley and Unterman (2013)
95%
99%
Common-0.5
0
0.5
1.0
-1.0
-2.0
-3.0
0
1.0
2.0
3.0
Com
posi
te N
AO
NA
O In
dex
NAO response to 11 volcanoes with large radiative forcing
Common volcanoes
Useful to better constrain the magnitude and timing of this response
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Impact"of"the"external"forcings"• No clear response to solar irradiance is identified • Positive NAO phases appear 2 years after major volcanic
eruptions
Lag -1 In phase Lag 1 Lag 2 Lag 3 Lag 4 Lag 5
Gao et al (2008) Sigl et al (2014)Crowley and Unterman (2013)
95%
99%
Common-0.5
0
0.5
1.0
-1.0
-2.0
-3.0
0
1.0
2.0
3.0
Com
posi
te N
AO
NA
O In
dex
NAO response to 11 volcanoes with large radiative forcing
Common volcanoes
Useful to better constrain the magnitude and timing of this response
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Summary"and"conclusions"
• We have produced a new multiproxy yearly-resolved NAO-reconstruction for the last millennium, compatible with models and previous NAO reconstructions. The model-constrained proxy selection systematically improves the agreement with the reconstructions.
• Our reconstruction updates the previous results from Trouet et al (2009), and suggests that predominant, but not persistent, positive NAO conditions ocurred only during the second half of the Medieval Era.
• Positive NAO phases occur systematically two years after the 11 largest volcanic eruptions, offering a potential for multi-annual prediction
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Thanks for your attention!!!!
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And"we"validate"it"with"a"perfect"model"approach"
Validation scores over the whole millennium remain significant and close to the calibration range
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We"produce"our"final"reconstruc&on"
1200 1400 1600 1800 1850 1900 1950
NA
O p
hase
-2
0
2
4
-4
Cor
rela
tion
��
0
���
Time (years)1200 1400 1600 1800 1850 1900 1950
NAOTrouet
NAOVinther
Calibration, reanalysis and model constrained NAO ensemble
50 year moving correlations with NAOTrouet
The reconstruction does not support a persistent positive NAO in medieval times, although its suggest predominantly positive phases during the 13th century
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Common Period [1823-2008]
NAO
Proxy
A proxy may correlate significantly in the common period…
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Calibration Period[1823-1969]
Common Period [1823-2008]
NAO
Proxy
Common Period [1823-2008]
NAO
Proxy
A proxy may correlate significantly in the common period…
… but not in the Common Period
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They&all&extend"con&nuously&from&the&11th&to&the&20th¢ury&&
They&have&a&minimum"resolu&on"of&10"years"during&the&observa[onal&period&&
They&correlate"significantly"(α<0.10)"with&the&NAO"in"their"overlapping"period""!
There&is&a&documented"rela&onship"between&each"proxy"and&a"climate"variable""poten[ally&sensi[ve&to&the&NAO&(temperature,&precipita[on,&drought,…)&&&Our&final&dataset&consist&of&59"different"proxies:&&
&34&from&treeBring&chronologies&&9&from&ice&cores&(accumula[on&and&δ18O)&&9&from&lake&sediments&&4&from&speleothems&&3&from&ocean&sediments&&&
&
Choice"of"proxies"for"the"new"reconstruc&on"
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The"reconstruc&on"technique"
It! is!based!on!a!Principal!Component!Regression!(PCR),! the!same!methodology!used!in!the!reconstruc;on!of!Cook!et!al!(2002)!
In&essence&it&represents&a&mul&variate"regression"in&which:&&1) To&reduce&overfidng,&a&principal"component"analysis"of&the&standardised&
proxies&is&first&performed&
2) The&corresponding"PCs,&orthogonal&to&each&other&by&construc[on,&are&used&as&predictors&(provided!they!correlate!significantly!with!the!NAO)!
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The"reconstruc&on"technique"
It! is!based!on!a!Principal!Component!Regression!(PCR),! the!same!methodology!used!in!the!reconstruc;on!of!Cook!et!al!(2002)!
In&essence&it&represents&a&mul&variate"regression"in&which:&&1) To&reduce&overfidng,&a&principal"component"analysis"of&the&standardised&
proxies&is&first&performed&
2) The&corresponding"PCs,&orthogonal&to&each&other&by&construc[on,&are&used&as&predictors&(provided!they!correlate!significantly!with!the!NAO)!
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-3-2-1 0 1 2 3
NAO
Anom
aly
NAO indices from instrumental sources
1840 1860 1880 1920 1940 1900 1960 1980 2000Time (years)
Azores-ReykjavikGibraltar-Reykjavik
Lisbon-Reykjavik1st PC of SLP
Ref: 1900-2001
How"do"we"characterize"its"variability?"NAO$from$instrumental$sources$
1st leading PC of SLP in the North Atlantic Sector
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-3-2-1 0 1 2 3
NAO
Anom
aly
NAO indices from instrumental sources
1840 1860 1880 1920 1940 1900 1960 1980 2000Time (years)
Azores-ReykjavikGibraltar-Reykjavik
Lisbon-Reykjavik1st PC of SLP
Ref: 1900-2001
How"do"we"characterize"its"variability?"
Different alternative definitions have been proposed, all showing a great degree of coherence among them (correlations around 0.9)
Three stations with long in-situ SLP measurements are close to the Southern node (Azores, Lisbon and Gibraltar)
NAO$from$instrumental$sources$
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-3-2-1 0 1 2 3
NAO
Anom
aly
NAO indices from instrumental sources
1840 1860 1880 1920 1940 1900 1960 1980 2000Time (years)
Azores-ReykjavikGibraltar-Reykjavik
Lisbon-Reykjavik1st PC of SLP
Ref: 1900-2001
How"do"we"characterize"its"variability?"
Different alternative definitions have been proposed, all showing a great degree of coherence among them (correlations around 0.9)
Three stations with long in-situ SLP measurements are close to the Southern node (Azores, Lisbon and Gibraltar)
We use the longest NAO record (Vinther et al 2003), going back to 1823
NAO$from$instrumental$sources$
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New"proxy"selec&on"In!each!of!the!64!individual!reconstruc;on!only!proxies!that!correlate!!with!the!NAO!now!also!within-the-calibra2on-period-are!used!
Common Period [1823-2008]
NAO
Proxy
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New"proxy"selec&on"In!each!of!the!64!individual!reconstruc;on!only!proxies!that!correlate!!with!the!NAO!now!also!within-the-calibra2on-period-are!used!
Calibration Period[1823-1969]
Common Period [1823-2008]
NAO
Proxy
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Ice coresLake SedimentsOcean SedimentsSpeleothemsTree rings
1
2
3
4
5
6
7
89
10
11
12
13
14
15
16
17
18
19
20
21
22
23
2425
2627
30
3134
3538
39
42
43
4647
48 49
44
45
5051
5253
54
55
56
57
5859
40
41
36
373233
2829
0
6
12
18
24
30
36
42
48
Num
ber of times proxies are used
Location of preselected proxiesConstrained by calibration
Constrained by models
Two"alterna&ve"final"proxy"selec&ons…"
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What"do"we"know"from"climate"models?"
Winter'NAO'variability'in'the'ensemble'of'PMIP3'runs'
Given& that& no& coherent& features& emerge& within&simula[ons,& is& there& any&way& in&which& they& can&be&used&to&validate&proxy&reconstruc[ons?&
No&persistent&posi[ve&&NAO&is&reproduced&
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Green&stars:&loca[on&of&the&gridBpoints& used& for& the& southern&node&of&sta[onBbased&indices&Yellow& stars:& the& same& for& the&northern&node&
Note:¬&all&models&reproduce&the¢ers&of&high&and&low&pressure&of&the&NAO&at&the&same&place.&This&implies&that&the&sta[onBbased&indices&will¬&always&correspond&well&with&the&leading&mode&of&SLP.&
Leading&EOFs&of&the&winter&SLP&in&the&North&Atlan[c§or&(corresponding&to&the&PCBbased&NAO&indices)&
BCCJCSM1! CCSM4! CSIROJMk3L! FGOALSJG1!
HadCM3!GISSJE2JR25!GISSJE2JR24!FGOALSJS2!
IPSLJCM5A! MIROCJESM! MPIJESM!
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Four&main¢ers&of&ac[on&appear:&(Northern&Eurasia,&North&Africa,&Greenland&and&Central&North&America)&
BCCJCSM1! CCSM4! CSIROJMk3L! FGOALSJG1!
HadCM3!GISSJE2JR25!GISSJE2JR24! IPSLJCM5A!
MIROCJESM! MPIJESM!
ERAJInterim!(1990J2010)!Casado&et&al&2013&
Which"are"the"robust"climate"fingerprints?" Temperature"
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The&fingerprints&are&more&diverse&in&terms&of&precipita[on&Two&main¢ers&remain&(Northern&Europe&and&Mediterranean&Area)&
BCCJCSM1! CCSM4! CSIROJMk3L! FGOALSJG1!
HadCM3!GISSJE2JR25!GISSJE2JR24! IPSLJCM5A!
MIROCJESM! MPIJESM!
ERAJInterim!(1990J2010)!Casado&et&al&2013&
Which"are"the"robust"climate"fingerprints?" Precipita&on"
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Jones"et"al"(1999):""Meteorological&data&from&european&sta[ons&Back!to!1780!
1865&
1865&
Luterbacher"et"al"(2002):"Early&nstrumental+documentary!!Back!to!1659!
Can"we"validate"with"other"reliable"sources?"Three!other!SLP!datasets!exist!based!on!observa;onal!and!documentary!evidence!
KueBel"et"al"(2009):""Instrumental&SLP&+&wind&from&ship&logs&Back!to!1750!!
"
We"calculate"the"corresponding"Gibraltar'Iceland"NAO"index"for"the"valida&on"
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The"alterna&ve"NAO"&meseries"
KueDel&et&al&2009:&&in&1750&reconstruc[on&skill&really&low&for&Iceland&(leh&plot)&
Jones&et&al&1999:&&Sta[ons&from&the&Atlan[c&do¬&start&un[l&XIXth¢ury&(closest&that&does&is&Edinburgh)&
1821&
1865&
1865&
1770&
Luterbacher&et&al&2002:&Clearly&biased&to&Europe&
The&three&seems&to&have&similar&limita[ons.& All& this& considered,&it& seems& that& we& shouldnt& be&too& restric[ve& imposing& proxy&coherence&with&all&these&indices&(Maybe& the& best& is& to& select&those& correla[ng& at& least& with&one&of&the&5&NAO&[meseries)&
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Jones"et"al"(1999):""Meteorological&data&from&european&sta[ons&Back!to!1780!
1865&
1865&
Luterbacher"et"al"(2002):"Early&nstrumental+documentary!!Back!to!1659!
Can"we"validate"with"other"reliable"sources?"Three!other!SLP!datasets!exist!based!on!observa;onal!and!documentary!evidence!
KueBel"et"al"(2009):""Instrumental&SLP&+&wind&from&ship&logs&Back!to!1750!!
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1865&
1865&
Can"we"validate"with"longer"&meseries?"Four!main!NAO!reconstruc;ons!are!also!available!
Luterbacher&et&al&(2002)&
Glueck&and&&Stockton&(2001)&
Cook&et&al.&(2002)&
Trouet&et&al.&(2009)&
Sta&on'based"data& (SLP,& temperature,&precip)&Documentary&evidence&&13"proxy&reconstruc[ons&
22"tree'rings"(21&precip,&1&temperature)&1"icecore"(d18O&and&accumula[on)&
Mul&'proxy"analysis&&Centered&on&the&Atlan&c"Basin"
A&tree'ring–based&drought&proxy&from&Morocco"A&speleothem&precipita&on&proxy&from&Scotland"
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Some"words"on"the"reconstruc&on"technique"
We"follow"a"Principal"Component"Reconstruc&on"(PCR),"as"described"below:"&1) Selected&proxies&are&standardised&with&respect&to&a&calibra[on&period&
2) A&principal"component"analysis"of&the&series&is&performed&for&this&same&period&
3) Only&those&PCs&that&correlate"significantly"(α=0.10)&with&the&NAO&are&retained&
4) A&mul&variate"linear"regression"model"is&calculated&for&the&NAO,&using&the&selected&PCs"as&final&predictors&
5) To&extend"the"reconstruc&on"as&far&as&the&proxies&go,&the&matrix"of"selected"proxies&is&projected"into"the"EOF"paBerns"(loadings)&corresponding&to&those&PCs&
6) Finally,&the&same"mul&variate"model"is&applied,&now&for&the&“extended'PCs”&
7) To&correct&for&the&loss"in"variance"inherent&to&the®ression,&the&final"NAO"reconstruc[on&is&re'standardised"
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Impact"of"the"volcanoes"NAO response to 18 major volcanoes
3
2
1
0
-1
-2
-3
0.2
0
0.4
0.6
NA
O In
dex
Com
posi
te N
AO
Lag -1 In phase Lag 1 Lag 2 Lag 3 Lag 4 Lag 5
95%
99%Years&of&volcanoes:&&
1168,"1176,"1190,"1231,"1258,"1269,"1278,"1286,"1452,"1460,"1600,"1641,"1809,"1815,"1831,"1835,"1884,"1903"
Amman et al. (2007)