Bidecadal North Atlantic ocean circulation variability controlled by timing of volcanic eruptions Didier Swingedouw, Pablo Ortega, Juliette Mignot, Eric.

Slides:



Advertisements
Similar presentations
An analysis of a decadal prediction system
Advertisements

North Pacific and North Atlantic multidecadal variability: Origin, Predictability, and Implications for Model Development Thanks to: J. Ba, N. Keenlyside,
The midlatitude influence of the AMOC onto the atmosphere Guillaume Gastineau 1, Blandine L’Hévéder 2, Francis Codron 2, Claude Frankignoul 1 1 LOCEAN/IPSL.
Bidecadal North Atlantic ocean circulation variability controlled by timing of volcanic eruptions Didier Swingedouw, Pablo Ortega, Juliette Mignot, Eric.
© Crown copyright Met Office Decadal Climate Prediction Doug Smith, Nick Dunstone, Rosie Eade, Leon Hermanson, Adam Scaife.
Jon Robson (Uni. Reading) Rowan Sutton (Uni. Reading) and Doug Smith (UK Met Office) Analysis of a decadal prediction system:
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Atlantic Multidecadal Variability: Internal Variability vs. Response to External Forcing Rong Zhang GFDL/NOAA Atlantic Sector Climate Variability over.
Decadal fingerprints of fresh water discharge around Greenland in a multi-models ensemble Swingedouw D., Rodehacke C., Behrens E., Menary M., Olsen S.,
Initialisation, predictability and future of the AMOC Didier Swingedouw Juliette Mignot, Romain Escudier, Sonia Labetoulle, Eric Guilyardi Christian Rodehacke,
Mojib Latif, Helmholtz Centre for Ocean Research and Kiel University
Assessing Low Frequency Variability in North Atlantic Ocean Sea Surface Temperatures in Global Climate Models Nicholas G. Heavens Caltech K.-F. Li, M.-C.
Climate Forecasting Unit Multi-annual forecasts of Atlantic tropical cyclones in a climate service context Louis-Philippe Caron WWSOC, Montreal, August.
Atlantic Multidecadal Variability: Consequences, Causes & Prediction? Dan Hodson, Jon Robson & Rowan Sutton NCAS-Climate, University of Reading.
On the reduced sensitivity of the Atlantic overturning to Greenland ice sheet melting in projections: a multi-model assessment Swingedouw D., Rodehacke.
THOR CT 4 Predictability of the THC. GOALS of CT4 Predict the Atlantic Meridional Overturning Circulation (and associated climate state) at decadal time.
RECENT OBSERVATIONS FROM THE 26ºN RAPID MOORING ARRAY: DROPS, DECLINES AND IMPACTS Gerard McCarthy National Oceanography Centre UK Molly Baringer, Adam.
NACLIM GA, 14 OCT 2014 Predictability of climate in the North Atlantic and Arctic Sectors: GREENICE and EPOCASA projects Noel Keenlyside Geophysical Institute,
1 Observed physical and bio-geochemical changes in the ocean Nathan Bindoff ACECRC, IASOS, CSIRO MAR University of Tasmania TPAC.
Didier Swingedouw, Laurent Terray, Christophe Cassou, Aurore Voldoire, David Salas-Mélia, Jérôme Servonnat CERFACS, France ESCARSEL project Natural forcing.
Atlantic Multidecadal Variability and Its Climate Impacts in CMIP3 Models and Observations Mingfang Ting With Yochanan Kushnir, Richard Seager, Cuihua.
Combining model simulations and paleoceanographic reconstructions for a process-based understanding of climate variability in the North Atlantic/Arctic.
Volcanic source of decadal predictability in the North Atlantic Didier Swingedouw, Juliette Mignot, Sonia Labetoulle, Eric Guilyardi, Gurvan Madec.
Influence of the blended ship log book and station SLP data set on Mediterranean temperature & precipitation back to 1750 June Jürg Luterbacher.
Inter-annual to decadal climate prediction Mojib Latif, Leibniz Institute of Marine Sciences at Kiel University.
Volcanoes and decadal forecasts with EC-Earth Martin Ménégoz, Francisco Doblas-Reyes, Virginie Guemas, Asif Muhammad EC-Earth Meeting, Reading, May 2015.
Climate Change and Global Warming Michael E. Mann Department of Environmental Sciences University of Virginia Symposium on Energy for the 21 st Century.
1 Hadley Centre The Atlantic Multidecadal Oscillation: A signature of persistent natural thermohaline circulation cycles in observed climate Jeff Knight,
D. Swingedouw (EPOC), J.-C. Dutay (LSCE), P. Braconnot (LSCE), O. Marti (LSCE), L. Bopp (LSCE), C. Colin (IDES), J. Mignot (LOCEAN), M. Khodri (LOCEAN).
A bipolar perspective on past climate change (and expectations for information from the Third Pole) Valérie Masson-Delmotte Laboratoire des Sciences du.
1 Observed physical and bio-geochemical changes in the ocean Nathan Bindoff ACECRC, IASOS, CSIRO MAR University of Tasmania TPAC.
C20C Workshop ICTP Trieste 2004 The Influence of the Ocean on the North Atlantic Climate Variability in C20C simulations with CSRIO AGCM Hodson.
Impact of freshwater release in the Southern Ocean on the Atlantic Didier Swingedouw.
Climate Forecasting Unit Attribution of the global temperature plateau Virginie Guemas, Francisco J. Doblas-Reyes, Isabel Andreu-Burillo and.
Volcanic Climate Impacts and ENSO Interaction Georgiy Stenchikov Department of Environmental Sciences, Rutgers University, New Brunswick, NJ Thomas Delworth.
Didier Swingedouw, Laurent Terray, Christophe Cassou, Aurore Voldoire, David Salas-Mélia, Jérôme Servonnat CERFACS, France ESCARSEL project Natural forcing.
Evaluation of climate models, Attribution of climate change IPCC Chpts 7,8 and 12. John F B Mitchell Hadley Centre How well do models simulate present.
TEMPLATE DESIGN © DATA: Analysis is performed on annual mean, near-surface (2m) temperature from 14 CMIP5 climate models.
Research Needs for Decadal to Centennial Climate Prediction: From observations to modelling Julia Slingo, Met Office, Exeter, UK & V. Ramaswamy. GFDL,
Abrupt changes in the Labrador Sea within CMIP5
Bruegel : The Harvesters (1565) Mechanisms for European summer temperature response to solar forcing over the last millennium Swingedouw D., Terray L.,
CT1/CT3 Meeting April 2013 Hamburg Predictability associated with the Atlantic ocean SST variability G. Gastineau, J. Garcia-Serrano, C. Frankignoul.
Dynamics and Predictability of the AMOC Mojib Latif, Helmholtz Centre for Ocean Research and Kiel University Co-workers: J. Ba, H. Ding, R. J. Greatbatch,
Mechanisms of drought in present and future climate Gerald A. Meehl and Aixue Hu.
A dynamical/statistical approach to predict multidecadal AMOC variability and related North Atlantic SST anomalies Mojib Latif GEOMAR Helmholtz Centre.
OCO 10/27/10 GFDL Activities in Decadal Intialization and Prediction A. Rosati, S. Zhang, T. Delworth, Y. Chang, R. Gudgel Presented by G. Vecchi 1. Coupled.
Introduction: At multidecadal timescale, the North Atlantic basin is characterized by sea surface temperature (SST) variability (Schlesinger and Ramankutty,
Global Climate Change: Past and Future Le Moyne College Syracuse, New York February 3, 2006 Department of Meteorology and Earth and Environmental Systems.
Beyond CMIP5 Decadal Predictions and the role of aerosols in the warming slowdown Doug Smith, Martin Andrews, Ben Booth, Nick Dunstone, Rosie Eade, Leon.
What is the Summer North Atlantic Oscillation (SNAO)?
Didier Swingedouw LSCE, France Large scale signature of the last millennium variability: challenges for climate models.
Helge Drange Geofysisk institutt Universitetet i Bergen Atlantic Multidecadal Variability and the role of natural forcing in BCM Odd Helge Otterå, Mats.
Climate Variability and Basin Scale Forcing over the North Atlantic Jim Hurrell Climate and Global Dynamics Division National Center for Atmospheric Research.
Didier Swingedouw, Masa Kageyama, Juliette Mignot,
OUTLINE Examples of AMOC variability and its potential predictability, Why we care, Characteristics of AMOC variability in a CCSM3 present-day control.
Can freshwater input in the Mediterranean Sea impact large-scale climate? Didier Swingedouw, Pierre Sepulchre, Christophe Colin, Giovanni Sgubin.
Initialisation of the Atlantic overturning IPSLCM5A-LR simulations nudged or free (with observed external forcings) Two reconstructions of the Atlantic.
THOR meeting Paris November 25-26, 2009 North Atlantic Subpolar Gyre forcing on the fresh water exchange with the Arctic Ocean Christophe HERBAUT and Marie-Noëlle.
Influence of volcanic eruptions on the bi-decadal variability in the North Atlantic Didier Swingedouw, Juliette Mignot, Eric Guilyardi, Pablo Ortega, Myriam.
A new strategy, based on the adjustment of initialized simulations, to understand the origin of coupled climate models errors Benoît Vannière, Eric Guilyardi,
Tentative reconstruction of the recent Hiatus using IPSL-CM5A-LR
Developing a climate prediction model for the Arctic: NorCPM
Odd Helge Otterå1,3, Jerry Tjiputra1,3 and Tao Wang2
Task 3.3: Impact of Arctic Ocean freshening on the Northern Hemisphere climate Didier Swingedouw, Christophe Herbaut, Juliette Mignot, Marie- Noelle Houssais.
Towards a new reanalysis with the IPSL climate model
North Atlantic Sub-Polar Gyre
Matthew Menary, Leon Hermanson, Nick Dunstone
WP3: Linkages of Arctic climate changes to lower latitudes
Decadal prediction in the Pacific
Decadal Climate Prediction at BSC
Presentation transcript:

Bidecadal North Atlantic ocean circulation variability controlled by timing of volcanic eruptions Didier Swingedouw, Pablo Ortega, Juliette Mignot, Eric Guilyardi, Valérie Masson-Delmotte, Paul Butler, Myriam Khodri

Initialisation of Atlantic overturning Reconstructions Obs. (Huck et IPSLCM5A-LR simulations nudged or free (with observed external forcings) Two reconstructions of the Atlantic overturning (AMOC) Agreement between nudged and reconstructions Synchronisation also in the historical simulations Nudged with SST 15 yrs Historical Control 1963 Swingedouw et al., Clim. Dyn. 2013

negative delayed feeedback 20-yr cycle in IPSL-CM5A-LR Sea ice cover -, SLP- 3yrs negative delayed feeedback EGC + 10 yrs 5yrs T,’ S’ + 2yrs convection + Virer ? AMOC + 9yrs Escudier et al. Clim. Dyn. 2013

negative delayed feeedback 20-yr cycle in IPSL-CM5A-LR Sea ice cover -, SLP- 3yrs negative delayed feeedback EGC + 10 yrs Mt Agung eruption 5yrs T,’ S’ + 2yrs convection + AMOC + 9yrs Escudier et al. Clim. Dyn. 2013

Is it real? Model dependent? (Zanchettin et al. 2012) Need for other lines of evidences (observations!) AMOC response around 15 years after the eruption is the key assumption that needs to be tested!

CMIP5 multi-model confirmation? 19 individual models from CMIP5 WITHOUT IPSLCM5A The ensemble mean shows a maximum in AMOC just before 1980 as in IPSLCM5A Large spread 5 models show a maximum of energy in the 12-30 yrs spectral band. Strong similarity of the response in these 5 models

Comparison with in situ salinity data Labrador data available from Canadian Bedford Institute of Oceanography Reconstruction of SSS variability over the east subpolar gyre (Reverdin 2010) Agreement between historical and data (20-yr sliding window correlation, p<0.1) An explanation for two GSAs!

A last millennium perspective Last millennium simulation from IPSLCM5A-LR (Khodri et al. in prep.) We select all the volcanoes from preindustrial era that are larger than Agung but not too large 5-member ensemble

Greenland data 20-yr preferential variability PC1 δ18O ice cores EOF1 of a compilation of 6 ice cores reconstructing Greenland δ18O over the last millennium (Ortega et al. 2014) EOF1 δ18O ice cores B18 NGRIP GISP2 GRIP Crete DYE-3

Link Greenland-AMO Greenland as high-resolution proxy of North Atlatic SST (AMO)? AMOC leads AMO in the model by 5-10 years

A paleo-indicator of the subpolar AMOC? Butler et al. (2013): bivalve as a very high temporal resolution proxy Not SST, rather related to nutrient supply Pseudo-proxy approach: is there a link between nutrient and AMOC in the model north of Iceland? AMOC leads nutrient supply north of Iceland by 1-3 years Butler et al. 2013

Last millennium perspective We select the same timeseries following volcanoes in data and SST in the North Atlantic from the model Significant correlation both in model and data, following AMOC variations by around 5 years Explain better the link AMOC temperature: bring warm water in Nordic Seas after a delay of 5-7 years Faire PC1-HadISST in supplementary

Implication for recent variability Climatic index Agung 15 yrs Model free Time 1963 1982 1991 2006

Implication for recent variability Climatic index El Chichon Agung 15 yrs Time 1963 1982 1991 2006

Implication for recent variability Destructive interference? Climatic index El Chichon Pinatubo Agung 15 yrs Time 1963 1982 1991 2006

Removing Pinatubo within IPSL-CM5A-LR model Historical No Pinatubo The sensitivity ensemble without Pinatubo shows a larger decrease in the early 2000s as compared to historical ensemble Then a partial recovery in the late 2010s

Conclusions Volcanic eruption precedes an AMOC maximum by around 10-15 years in IPSLCM5A-LR model Impact of volcanoes also very clear in a 5-member CMIP5 ensemble Consistent with in situ salinity data in the subpolar gyre And data of Greenland and Iceland over the last millennium large body of evidence supporting the validity of the mechanism in the real world Effect of Pinatubo: destructive interference! Decadal predictability in case of eruption in the future

Thank you! Didier.Swingedouw@lsce.ipsl.fr Courtesy of Bruno Ferron, OVIDE 2010

Background AMOC: a key player for decadal prediction Van Oldenborgh et al. 2012 t2m skill without trends: years 2-5 AMOC: a key player for decadal prediction Volcanic impact on AMOC (Ottera et al. 2011, Iwi et al. 2010, Mignot et al. 2011…) Bi-decadal variability in the North Atlantic: in several models (Frankcombe et al. 2010…) and in data (Chylek et al. 2011, Sicre et al. 2008, Divine & Dick 2006… ) Zanchettin et al. 2012

Experimental design IPSL-CM5A-LR climate model 5-member historical ensemble (natural and anthropogenic forcing) 5-member initialised ensemble nudged with SST anomalies 5-member sensitivity ensemble without Pinatubo CMIP5 ensemble Comparison with existing in situ SSS data Paleo-climate support O Agung El Chichon Pinatubo

Comparison of the AMOC forcings NAO forcing is larger than that from volcanoes Over the period 1973-2018: Std volcanoes =0.54 Sv Std NAO = 0.93 Sv

Is it real? Model dependent Need for other lines of evidences (observations!) AMOC response 15 years after the eruption is the key assumption that needs to be tested!

A conceptual model to explain AMOC variability in the model We propose a conceptual model based on: harmonic response to volcanoes Linear response to radiative forcing (GHG) Mettre la somme en gras niveau 3 (le noir…)

AMOC response in the IPSL-CM5A-LR model

CMIP5 models

Scaling of the conceptual model We use a cost function based on MSE between IPSL model and toy model

Convection sites response

Mechanisms Historical No Pinatubo HadISST Pinatubo decreases SST and increases sea-ice cover in the GIN Seas This interferes with variability of the EGC This removes the salinity anomalies in the Labrador Sea And then the convection and the AMOC variations

In situ Labrador Sea variation GSA GSA GSA In situ Labrador Sea variation The 1985 GSA is clearly different from 1972 and 1993 in the sense that there is a subsurface positive anomaly Belkin et al. (1998): two modes of GSA, one remote (Artic) and one more local (1980s) Central Labrador Sea from 1949 to 2005 (updated from Yashayaev et al., 2003) Source IPCC 2007

Temperature propagation

Comparison model-proxies Pseudo-proxy approach: is there a link between nutrient and AMOC in the model? AMOC leads nutirent supply with 1-3 years

EOF1 δO18 ice cores  

Pinatubo direct impact

Is volcanic impact on the NAO so clear in data? Agung: 1963-1965 Pinatubo: 1991-1993 El Chichon: 1982-1984