An event-based approach to understanding decadal variability in the Atlantic Meridional Overturning Circulation Lesley Allison, Ed Hawkins & Tim Woollings.

Slides:



Advertisements
Similar presentations
Taher A. Sharif Department of Atmospheric science, University of AlFateh, Tripoli, Libya
Advertisements

WCRP polar climate predictability initiative Vladimir Ryabinin
Global climate responses to perturbations in Antarctic Intermediate Water Jennifer Graham Prof K. Heywood, Prof. D. Stevens, Dr Z. Wang (BAS)
1 NCAS SMA presentation 14/15 September 2004 The August 2002 European floods: atmospheric teleconnections and mechanisms Mike Blackburn (1), Brian Hoskins.
An analysis of a decadal prediction system
North Pacific and North Atlantic multidecadal variability: Origin, Predictability, and Implications for Model Development Thanks to: J. Ba, N. Keenlyside,
Modeling the MOC Ronald J Stouffer Geophysical Fluid Dynamics Laboratory NOAA The views described here are solely those of the presenter and not of GFDL/NOAA/DOC.
3. Natural Climate Variability. SPM 1b Variations of the Earth’s surface temperature for the past 1,000 years Approx. climate range over the 900 years.
© Crown copyright Met Office Decadal Climate Prediction Doug Smith, Nick Dunstone, Rosie Eade, Leon Hermanson, Adam Scaife.
Scaling Laws, Scale Invariance, and Climate Prediction
AMOC MULTI-DECADAL VARIABILITY: MECHANISMS, THEIR ROBUSTNESS, AND IMPACTS OF MODEL CONFIGURATIONS Gokhan Danabasoglu and Steve Yeager National Center for.
Chukchi/Beaufort Seas Surface Wind Climatology, Variability, and Extremes from Reanalysis Data: Xiangdong Zhang, Jeremy Krieger, Paula Moreira,
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
The influence of extra-tropical, atmospheric zonal wave three on the regional variation of Antarctic sea ice Marilyn Raphael UCLA Department of Geography.
Climate modeling Current state of climate knowledge – What does the historical data (temperature, CO 2, etc) tell us – What are trends in the current observational.
Decadal fingerprints of fresh water discharge around Greenland in a multi-models ensemble Swingedouw D., Rodehacke C., Behrens E., Menary M., Olsen S.,
Mojib Latif, Helmholtz Centre for Ocean Research and Kiel University
Review of Northern Winter 2010/11
El Nino – Southern Oscillation - Southern Oscillation (atmosphere) - El Nino (ocean) - change in equatorial Pacific circulation - produces global climate.
What role does the Ocean play in Global Climate Change?
Ocean Response to Global Warming William Curry Woods Hole Oceanographic Institution Wallace Stegner Center March 3, 2006.
Protecting our Health from Climate Change: a Training Course for Public Health Professionals Chapter 2: Weather, Climate, Climate Variability, and Climate.
© Crown copyright /0653 Met Office and the Met Office logo are registered trademarks Met Office Hadley Centre, FitzRoy Road, Exeter, Devon, EX1.
European capacity building initiativeecbi Climate Change: an Introduction ecbi Workshops 2007 Claire N Parker Environmental Policy Consultant european.
1 Istanbul Technical University / Civil Engineering Department Ercan Kahya Istanbul Technical University.
Climate Change: A National and Marine Perspective David Woolf National Oceanography Centre, Southampton.
Observed Feedback Between Winter Sea Ice and the North Atlantic Oscillation Nathan Workman Atmospheric Sciences By Courtenay Strong, Hal Sturn And Gudrun.
Atlantic Multidecadal Variability and Its Climate Impacts in CMIP3 Models and Observations Mingfang Ting With Yochanan Kushnir, Richard Seager, Cuihua.
Winter sea ice variability in the Barents Sea C. Herbaut, M.-N. Houssais et A.-C. Blaizot LOCEAN, UPMC.
Climate and Weather Climate - long- term average of weather conditions— wind, temperature, precipitation, moisture, and other aspects of weather. 3 3.
Variability of Pacific Pycnocline Overturning in a Coupled GCM Bill Merryfield and George Boer Gu, D. and S.G.H. Philander, 1997: Inter- decadal climate.
C20C Workshop ICTP Trieste 2004 The Influence of the Ocean on the North Atlantic Climate Variability in C20C simulations with CSRIO AGCM Hodson.
© Crown copyright Met Office Decadal predictions of the Atlantic ocean and hurricane numbers Doug Smith, Nick Dunstone, Rosie Eade, David Fereday, James.
IPCC WG1 AR5: Key Findings Relevant to Future Air Quality Fiona M. O’Connor, Atmospheric Composition & Climate Team, Met Office Hadley Centre.
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.
Long-Term Changes in Northern and Southern Annular Modes Part I: Observations Christopher L. Castro AT 750.
S 1 Core Theme 1 Predictability of core ocean and atmosphere quantities UHAM, MPG, UPMC, GEOMAR, NERSC.
Page 1© Crown copyright 2004 The Hadley Centre The forcing of sea ice characteristics by the NAO in HadGEM1 UK Sea Ice Workshop, 9 September 2005 Chris.
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.
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
Climate Change: an Introduction ecbi Workshops 2007 Claire N Parker Environmental Policy Consultant european capacity building initiative initiative européenne.
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)?
PAPER REVIEW R Kirsten Feng. Impact of global warming on the East Asian winter monsoon revealed by nine coupled atmosphere-ocean GCMs Masatake.
Didier Swingedouw LSCE, France Large scale signature of the last millennium variability: challenges for climate models.
Climate Variability and Basin Scale Forcing over the North Atlantic Jim Hurrell Climate and Global Dynamics Division National Center for Atmospheric Research.
Ocean Response to Global Warming/Global Change William Curry Woods Hole Oceanographic Institution Environmental Defense May 12, 2005 Possible changes in.
OUTLINE Examples of AMOC variability and its potential predictability, Why we care, Characteristics of AMOC variability in a CCSM3 present-day control.
Ocean Climate Simulations with Uncoupled HYCOM and Fully Coupled CCSM3/HYCOM Jianjun Yin and Eric Chassignet Center for Ocean-Atmospheric Prediction Studies.
Changes in Sea Ice Alison Liou Meghan Goodwin. Arctic Oscillation (Northern Annular Mode) Antarctic Oscillation (Southern Annular Mode) Zonal = movement.
WCC-3, Geneva, 31 Aug-4 Sep 2009 Advancing Climate Prediction Science – Decadal Prediction Mojib Latif Leibniz Institute of Marine Sciences, Kiel University,
A. Laurian S. Drijfhout W. Hazeleger B. van den Hurk Response of the western European climate to a THC collapse Koninklijk Nederlands Meteorologisch Instituut,
MICHAEL A. ALEXANDER, ILEANA BLADE, MATTHEW NEWMAN, JOHN R. LANZANTE AND NGAR-CHEUNG LAU, JAMES D. SCOTT Mike Groenke (Atmospheric Sciences Major)
Daoxun Sun Outline Background Data Technical details Result EOF of chlorophyll data Correlation with possible factors Summary.
The role of Atlantic ocean on the decadal- multidecadal variability of Asian summer monsoon Observational and paleoclimate evidences Observational and.
Aim: study the first order local forcing mechanisms Focusing on 50°-90°S (regional features will average out)
Our water planet and our water hemisphere
Seasonal Forecast of Antarctic Sea Ice
Towards a new reanalysis with the IPSL climate model
AIR/SEA INTERACTION El Nino
El Niño-Southern Oscillation
Case Studies in Decadal Climate Predictability
Atlantic Ocean Forcing of North American and European Summer Climate
Analysis of Southern European Cold Spells via a
Korea Ocean Research & Development Institute, Ansan, Republic of Korea
Volcanic Climate Impacts and ENSO Interaction
Presentation transcript:

An event-based approach to understanding decadal variability in the Atlantic Meridional Overturning Circulation Lesley Allison, Ed Hawkins & Tim Woollings NCAS-Climate, University of Reading

Many coupled climate models exhibit natural decadal AMOC variability, with impacts on other climatic fields Knight et. al. (2005) Surface temperature HadCM3 Zhang (2008) 400m ocean temperature, GFDL CM2.1 Gastineau & Frankignoul (2012) Wintertime mean sea level pressure (Multiple models)

Large decadal AMOC fluctuation events Hawkins & Sutton (2008) Composite of decadal surface air temperature change How robust are the characteristics and impacts of discrete AMOC events within each model and across different models?

Models and event detection method AMOC event characteristics Do the events have robust climatic impacts? Are the events special? Are the impacts of positive and negative events equal and opposite? What controls the temperature response over Europe? Outline

Models and event detection method AMOC event characteristics Do the events have robust climatic impacts? Are the events special? Are the impacts of positive and negative events equal and opposite? What controls the temperature response over Europe? Outline

Model details

Mean AMOC streamfunction

Variability (5-20 year time scale)

Identifying AMOC fluctuation events AMOC transport at 26°N or 50°N Depth of maximum at that latitude Smoothed with 5-year running mean For each year, identify the preceding time-window (between 5 & 20 years) over which the largest AMOC change occurred. Search for positive and negative events separately. When events overlap, the one with the largest magnitude is retained. Sv Years

Identifying AMOC fluctuation events AMOC transport at 26°N or 50°N Depth of maximum at that latitude Smoothed with 5-year running mean For each year, identify the preceding time-window (between 5 & 20 years) over which the largest AMOC change occurred. Search for positive and negative events separately. When events overlap, the one with the largest magnitude is retained.

Defining climate field anomalies Sv Years x x τ t1t1 t2t2 Standardise by AMOC change Averaged over 10 events of each sign ( N =10) Range of lags considered Many of the following plots use the difference between 5-year means centred on the start and end of the events This means that if the response to positive and negative events is equal and opposite, the signal should look the same for each. τ AMOC transport

Models and event detection method AMOC event characteristics Do the events have robust climatic impacts? Are the events special? Are the impacts of positive and negative events equal and opposite? What controls the temperature response over Europe? Outline

Event magnitudes 26°N 50°N

Spatial structure AMOC variability detected at 26°N GFDL CM2.1

50°N 26°N

Meridional coherence AMOC variability detected at 26°N GFDL CM2.1

50°N 26°N

Models and event detection method AMOC event characteristics Do the events have robust climatic impacts? Are the events special? Are the impacts of positive and negative events equal and opposite? What controls the temperature response over Europe? Outline

Sea surface temperature changes are generally robust across the largest events in each model, but the spatial patterns can differ substantially between models 26°N

Sea surface temperature changes are generally robust across the largest events in each model, but the spatial patterns can differ substantially between models 50°N

Models and event detection method AMOC event characteristics Do the events have robust climatic impacts? Are the events special? Are the impacts of positive and negative events equal and opposite? What controls the temperature response over Europe? Outline

Asymmetrical behaviour in HadCM3 Surface air temperature Sea ice concentration Mean sea level pressure Positive events: Large surface warming and sea ice loss in Nordic Seas. Local low atmospheric pressure anomaly. Associated atmospheric circulation anomaly may drive increased ice loss in Nordic Seas and suppress the ice loss in the Labrador Sea (e.g., Strong & Magnusdottir, 2010). Positive events Negative events

Models and event detection method AMOC event characteristics Do the events have robust climatic impacts? Are the events special? Are the impacts of positive and negative events equal and opposite? What controls the temperature response over Europe? Outline

What controls the European temperature response? RegressionEvents Regression Events Sea surface temperature Since Western Europe usually has a strong maritime influence, why is the land response so weak? Surface air temperature HadCM3, AMOC 26N

What controls the European temperature response? Weakening of westerly winds for positive events (strengthening for negative events) Long-term mean Regression Events Surface winds

What controls the European temperature response? Weakening of westerly winds for positive events (strengthening for negative events) Regression Events RegressionEvents Surface winds Surface downward shortwave Land-sea contrast in cloudiness. Positive events: Decreased cloud cover over ocean (enhances warming) Increased over land (cooling). Opposite for negative events. (See also AMOC collapse experiment of Laurian et al, 2010)

Summary Studying the largest decadal-scale AMOC events in unforced climate model simulations. The surface signatures are generally robust across the largest events in each model, but can differ substantially between models. The characteristics and impacts of the largest discrete AMOC changes are generally in line with regression analyses however there are some exceptions, where nonlinear behaviour is found (e.g., Asymmetric behaviour in HadCM3 may be related to nonlinearities in the sea ice response). HadCM3 shows a subdued temperature response in Europe. This may be linked to changes in winds and/or differences in cloud cover changes over land and ocean. Further work is required to better understand the inter-model differences in the characteristics and impacts of AMOC events, to improve the prediction and attribution of such events in reality. Thank you

50-year running correlation: AMOC(26°N) & AMOC(50°N) AMOC (26°N) AMOC (50°N) Years GFDL CM2.1

No similar periods of negative correlation between AMOC(26°N) and AMOC(50°N).... and for HadCM3?

26°N50°N

26°N 50°N Event evolution: Largest 10 events of each sign