Core Theme 1. WP 1.1 Task 1.1.1: Assessment of millenium-scale simulations and role of external forcing Compare simulated (signatures of) THC variability.

Slides:



Advertisements
Similar presentations
Observed and simulated variability of the North Atlantic subpolar gyre Helge Drange & Co G. C. Rieber Climate Institute, the Nansen Center, Bergen, Norway.
Advertisements

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.
© Crown copyright Met Office Decadal Climate Prediction Doug Smith, Nick Dunstone, Rosie Eade, Leon Hermanson, Adam Scaife.
Slide 1 Predicting the Climate of Europe: the THOR project Laurent Mortier – University of Paris for Detlef Quadfasel (co-ordinator), University of Hamburg.
Jon Robson (Uni. Reading) Rowan Sutton (Uni. Reading) and Doug Smith (UK Met Office) Analysis of a decadal prediction system:
Observed variability of hydrography and transport at 53°N in the Labrador Sea Johannes Karstensen GEOMAR Helmholtz Centre for Ocean Research Kiel With.
EPOCA Kick-off Meeting June 2008: Nice Theme 1Ocean chemistry and biogeography What is the past and recent variability of ocean carbonate chemistry (including.
Decadal fingerprints of fresh water discharge around Greenland in a multi-models ensemble Swingedouw D., Rodehacke C., Behrens E., Menary M., Olsen S.,
Enhanced 20 th century heat transfer to the Arctic simulated in the context of climate variations over the last millennium Johann Jungclaus K. Lohmann,
Mojib Latif, Helmholtz Centre for Ocean Research and Kiel University
1 THOR as of What is it all about? NADW – North Atlantic Deep Water 1 Sv = 10 6 m 3 /s Atlantic Meridional Overturning Circulation.
Atlantic Multidecadal Variability: Consequences, Causes & Prediction? Dan Hodson, Jon Robson & Rowan Sutton NCAS-Climate, University of Reading.
THOR CT 4 Predictability of the THC. GOALS of CT4 Predict the Atlantic Meridional Overturning Circulation (and associated climate state) at decadal time.
Paleoclimatology Why is it important? Angela Colbert Climate Modeling Group October 24, 2011.
US CLIVAR Themes. Guided by a set of questions that will be addressed/assessed as a concluding theme action by US CLIVAR Concern a broad topical area.
CLIMARES, NERSC, October 2009 Arctic climate and future scenarios Ola M. Johannessen and Mats Bentsen Nansen Environmental and Remote Sensing Center.
WP4.1: Feedbacks and climate surprises ( IPSL, HC, LGGE, CNRM, UCL, NERSC) WP4.1 has two main objectives (a) to quantify the role of different feedbacks.
Combining model simulations and paleoceanographic reconstructions for a process-based understanding of climate variability in the North Atlantic/Arctic.
Western boundary circulation in the tropical South Atlantic and its relation to Tropical Atlantic Variability Rebecca Hummels 1, Peter Brandt 1, Marcus.
The AMOC in the Kiel Climate Model WP 3.1 Suitability of the ocean observation system components for initialization PI: Mojib Latif With contribution from:
Inter-annual to decadal climate prediction Mojib Latif, Leibniz Institute of Marine Sciences at Kiel University.
Climate Change and Global Warming Michael E. Mann Department of Environmental Sciences University of Virginia Symposium on Energy for the 21 st Century.
C3.1: Regional assessment for the North Sea 3.1.1: data compliation 3.1.2: river input data 3.1.3: data on benthic calcification 3.1.4: novel marine air.
1 Hadley Centre The Atlantic Multidecadal Oscillation: A signature of persistent natural thermohaline circulation cycles in observed climate Jeff Knight,
Transport in the Subpolar and Subtropical North Atlantic
NACLIM CT1/CT3 1 st CT workshop April 2013 Hamburg (DE) Johann Jungclaus.
A bipolar perspective on past climate change (and expectations for information from the Third Pole) Valérie Masson-Delmotte Laboratoire des Sciences du.
R.Sutton RT4 coordinated experiments Rowan Sutton Centre for Global Atmospheric Modelling Department of Meteorology University of Reading.
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.
Status of the Sea Ice Model Testing of CICE4.0 in the coupled model context is underway Includes numerous SE improvements, improved ridging formulation,
1 of 30 | © THOR (updated on ) THOR Core Themes Core Theme 1 MOC Variability Core Theme 3 Observations of the North Atlantic MOC 20-years Prediction.
ETH On-going and planned projects with ECHAM Martin Wild, Doris Folini, Adeline Bichet, Maria Hakuba, Christoph Schär IACETH.
Didier Swingedouw, Laurent Terray, Christophe Cassou, Aurore Voldoire, David Salas-Mélia, Jérôme Servonnat CERFACS, France ESCARSEL project Natural forcing.
Research Needs for Decadal to Centennial Climate Prediction: From observations to modelling Julia Slingo, Met Office, Exeter, UK & V. Ramaswamy. GFDL,
THOR CT3 Meeting – Torshavn 2009 – Fischer/Visbeck/Zantopp/Nunes In the Labrador Sea, overflow water from the Denmark Strait and from the Iceland-Scotland.
CLIMARES WP 110 Climate model scenarios for the Arctic region for the next decades Current state: Klaus Dethloff, AWI WP Leader: Erich Roeckner, MPI Planing.
S 1 Core Theme 1 Predictability of core ocean and atmosphere quantities UHAM, MPG, UPMC, GEOMAR, NERSC.
Mechanisms of drought in present and future climate Gerald A. Meehl and Aixue Hu.
1 1 Morten D. Skogen WP10: Hindcast and scenario studies on coastal- shelf climate and ecosystem variability and change Overview and plans ECOOP annual.
Dongxiao Zhang and Mike McPhaden
2010/ 11/ 16 Speaker/ Pei-Ning Kirsten Feng Advisor/ Yu-Heng Tseng
Summary 26 September 2012 Core Theme 2: Assessing sources of uncertainty in ocean analyses and forecasts Lead: Steffen M Olsen (DMI), Co-lead: H. Drange.
Global Climate Change: Past and Future Le Moyne College Syracuse, New York February 3, 2006 Department of Meteorology and Earth and Environmental Systems.
Core Theme 5 – WP 17 Overview on Future Scenarios - Update on WP17 work (5 european modelling groups : IPSL, MPIM, Bern, Bergen, Hadley) - Strong link.
Climate feedback on the marine carbon cycle in CarboOcean Earth System Models J. Segschneider 1, E. Maier-Reimer 1 L. Bopp 2, J. Orr 2 1 Max-Planck-Institute.
CARBOOCEAN Annual Meeting – Solstrand, Norway 5-9 October 2009 WP17 Highlights: Future Scenarios with coupled carbon-climate models - 5 european modelling.
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.
THOR Presented by Doug Smith (MET OFFICE) Project coordinator: Detlef Quadfasel (UHAM)
Summary 26 September 2012 Core Theme 1. Deliverables.
Initialisation of the Atlantic overturning IPSLCM5A-LR simulations nudged or free (with observed external forcings) Two reconstructions of the Atlantic.
Climate Change and Global Warming Michael E. Mann Department of Environmental Sciences University of Virginia Waxter Environmental Forum Sweet Briar College.
Line W: A sustained measurement program sampling the North Atlantic Deep Western Boundary Current and Gulf Stream about 39°N 70°W Image copyrighted by.
Climate Dimensions of the Water Cycle Judith Curry.
S 1 CT1/CT3 Meeting April 2013 Hamburg WP 3.1 Suitability of the ocean observing system components for initialization Wonsun Park GEOMAR.
10/24/03search_osm_10_032 Abrupt Change in Deep Water Formation in the Greenland Sea: Results from Hydrographic and Tracer Time Series SEARCH Open Science.
CT2 : Assessing sources of uncertainty in ocean analysis and forecasts We consider the structural sources of uncertainty generic to all practical forecasting.
The role of Atlantic ocean on the decadal- multidecadal variability of Asian summer monsoon Observational and paleoclimate evidences Observational and.
Influence of volcanic eruptions on the bi-decadal variability in the North Atlantic Didier Swingedouw, Juliette Mignot, Eric Guilyardi, Pablo Ortega, Myriam.
WP11 Model performance assessment and initial fields for scenarios. Objectives and deliverables To determine, how well biogeochemical ocean general circulation.
Our water planet and our water hemisphere
Towards a new reanalysis with the IPSL climate model
A Comparison of Profiling Float and XBT Representations of Upper Layer Temperature Structure of the Northwestern Subtropical North Atlantic Robert L.
North Atlantic Sub-Polar Gyre
Task 3.2 : Arctic warming impacts : role of air-sea coupling
Path Forward Discussion
Workshop 1: GFDL (Princeton), June 1-2, 2006
Presentation transcript:

Core Theme 1

WP 1.1

Task 1.1.1: Assessment of millenium-scale simulations and role of external forcing Compare simulated (signatures of) THC variability on interdecadal to centennial time scales with palaeo- observations from WP1.2 [LOCEAN, MET-O, MPI-M, NERSC] Compare simulated key processes of THC dynamics with observations from CT3 [MPI-M] Design a procedure for coordinated model testing [LOCEAN] and apply to the models [IFM-GEOMAR, LOCEAN, MET-O, MPI-M, NERSC] Investigate the role of external forcing on THC variability [MET- O, MPI-M, NERSC, IfM GEOMAR]

Mean Sortable Silt at Gardar drift (this study) Reconstructed AMO based On three rings (Gray et al., 2004) WP 1.2 RESULTS - MEAN SORTABLE SILT AT GARDAR DRIFT Gadar Drift data suggest that basin-wide warm phase is associated with vigorous ISOW flow

Role of processes Monthly mean observed (blue) and modelled (red) Faroe Bank Channel overflow Modeled annual mean Denmark Strait (upper) and FBC (lower) overflow Olsen et al., 2008

Role of processes Modeled annual mean Denmark Strait transport from NCEP forced ocean-only experiment (grey) and assimiltion run with coupled AOGCM (green) Matei et al., in prep.

Internal variability vs. External forcing as a pacemaker for Atlantic multidecadal variability? Otterå et al 2009 …but this finding appears to be model (and forcing) dependent….

Task 1.1.2: THC variability on decadal to centennial time scales Investigate mechanisms responsible for low-frequency THC variability with focus on overflow, deep water formation and its preconditioning [LOCEAN, MET-O, MPI-M, NERSC] Design [MPI-M] sensitivity experiments to investigate the impact of changes in overflow and deep water formation on the THC [LOCEAN, MET-O, MPI-M, NERSC] Assess the role of THC variations on recent changes in North Atlantic heat/fresh water content [MET-O] Design budget and statistical analysis diagnostics [MET-O] and apply to the models [LOCEAN, MET-O, MPI-M, NERSC]

Variability: No consensus among state- of-the-art climate models MPIKCM CSIROGFDL Power spectra: Maximum Atlantic MOC at 30N, CMIP3 pre-industrial control simulations Period (yr) Courtesy: Jin Ba

Role of overflow variations for MOC Denmark Strait Overflow Transp. and MOC 1085m Anomaly (Sv) Jungclaus et al., in prep.

Sensitivity experiment: supress density variations in NS Denmark Strait Overflow Transp. and MOC 1085m Anomaly (Sv) Jungclaus et al., in prep.

Task 1.1.3: Ocean-atmosphere feedbacks and climatic impact of THC changes Statistical analysis of lead/lag relationships to investigate the relative role of (un)coupled modes in explaining the low- frequency THC variability [LOCEAN, MET-O, MPI-M, NERSC], aided by sensitivity experiments [LOCEAN, MPI-M, NERSC] Perform partial coupled experiments with focus to identify to which extent the Atlantic Multidecadal Oscillation is part of a coupled climate mode [LOCEAN, MET-O, MPI-M, NERSC] Investigate the impact of THC changes on European and Arctic climate [LOCEAN, MET-O, MPI-M, NERSC]

Ocean-atmosphere feedbacks Zhu et al., revised Msadek & Frankignoul, 2009

The WP1.1 model zoo NERSC: Bergen Climate Model (BCM): ARPEGE (T42/L31) + MICOM (2.4°, L35) 700yr long control integration solar and volcanic forcing solar, volcanic, GHG and aerosol forcing ensembles for selected periods planned scenario integration MPI-M: MPI-M Earth System Model (COSMOS) ECHAM5 (T31/L19) + MPI-OM, 3°, L40 + carbon cycle) 3000yr long control integration solar, volcanic, land use change, GHG and aerosol forcing (ensemble of 5), single forcing experiments alternative solar forcing (ensemble of 3)

The WP1.1 model zoo LOCEAN: IPSLCM4_v2: Atm: 96x71x19, Ocn: 2°x2° 1000yr long control integration 950yr solar and CO2 forcing solar, volcanic and CO2 forcing (running) higher-resolution runs planned: METO: HadCM3 1.25° ocean,L yr pre-industrial control „natural 500“, solar, orbital, volcanic aerosol, preindustrial GHG (1750), 1750 land surface 1750:2000: „all250“: as natural GHG & aerosol emission history, land-use-change, ozone member anthropogenic + natural ensemble

The WP1.1 model zoo IfM GEOMAR: KCM: ECHAM5 (T31/L19) + NEMO 2°x2°/L31) 5000yr long control integration idealized solar forcing runs higher-resolution runs planned IN SUMMARY: All modelling groups have provided long integrations Cross-model validation is going on using >1000 yr control experiments: Overflow characteristics Sub-polar-gyre characteristics AMO vs. AMOC Sea ice variability

WP1.1 summary All modelling groups have provided long integrations Cross-model validation is going on using >1000 yr control experiments: Overflow characteristics Sub-polar-gyre characteristics AMO vs. AMOC Sea ice variability

Things to do Assess similarities and differences in the THC as represented in the various models and millennium-scale reconstructions representation of processes characteristics of internal variability climate response to THC changes THC response to external forcings What causes the differences between the models? Define common analyses tools and prepare publication strategy

WP 1.2: Participants: BCCR and CNRS (Gif-sur-Yvette) Task Characterize changes in the deep and intermediate return flow of THC; Determine how much it changed, which components, and why. Task Characterize the upper limb of THC—Variations in the inflows to the Nordic Seas. Task Characterize climate and thermocline evolution over the last millennium

Variability in ISOW vigor over the last 1300 years and its relationship to climate U. Ninnemann, T.L. Mjell, H. Kleiven and I. Hall,

Bathymetry of the northern North Atlantic and the Nordic Seas. Location of cores MD /2665 and ODP 983/MC09 are marked with red dots (Modified from Smith and Sandwell, 1997) Linkages to AMOC? How have Nordic Seas overflows varied?

Study Area—ISOW variability on Gardar drift Latitude: 60°19’ N Longitude: 23° 58’ W Depth: 2081 m GS MC-D IR NIIC Iceland-Scotland Overflow Water (ISOW) Curry & Mauritzen, 2005 ~1400 AD

Location in the core of ISOW overflow

Y= – xR= III III IV ~ AD ~ AD~ AD ~ AD ~ AD~ AD WP 1.2 RESULTS - MEAN SORTABLE SILT AT GARDAR DRIFT

Multidecadal to centennial variability in ISOW vigor and chemical properties over the last ~600+ years ISOW flow variability is coherent across a range of depths and space (not a local signal) During the past ~350 years ISOW vigor is in phase with reconstructed AMO on both inter-decadal and centennial timescale—within the error of our age models. This strong coherence suggests that low frequency variability in key components of AMOC is coupled to basin-wide temperature perturbations Summary of Observations

Eirik sediment drift – DSOW & DWBC variability ~ 2006 AD ~600 AD Curry & Mauritzen, 2005 GS MC A Latitude: 57°29’ N Longitude: 48° 37’ W Depth: 3432 m Deep Western Boundary Current (DWBC)

Mann and Jones (2003) NH tmp. reconstructions Benthic oxygen isotopes From MD ; 3 pt.smooth (Kleiven et al., in prep) Natural variability in the deep water masses

WP 1.2.3: Towards the reconstruction of the thermocline variability in the North Atlantic during the last millennium T. Bouinot, E. Cortijo, A. Govin, C. Cléroux LSCE/IPSL (Gif/Yvette, France)

Study sites: sediment cores SST August Already studied Future work

How to reconstruct the thermocline variability? Summer mixed layer Seasonal thermocline Temperature Water depth Permanent thermocline Deep-dwelling foraminifera: 1. Globorotalia inflata 2. Pulleniatina obliquiloculata Planktic foraminifera 1. Globigerinoides ruber 2. Globigerina bulloides 2.1.

Core MD (35°N, 75°W, 620 m) SST August C. Cléroux, PhD thesis

Future work: to better trace the extension of the subtropical & subpolar gyres in the North Atlantic From Hatun et al. Science 2005 Subtropical gyre water Subpolar gyre water MD Q MD Q (56.4°N, 27.8°W, 2830 m) MD Q (58.8°N, 26.0°W, 2603 m) Coretop’s date2000 a is around MD Q671.5 a ± 30 a50 cm MD Q308.5 a ± 30 a35 cm

Deliverables

All WP 1.1 partners have control integrations of 1000 to 6000 years forced integrations over the millennium are accomplished or ongoing, some forced integrations have been run in ensemble mode analyses focus presently on the assessment of THC characteristics and mechanisms Summary WP 1.1

WP1.2: reconstructions of the strength of the ISOW over last millennium ready, upper ocean T and S in progress. Reconstruction of integrated overflows south of Greenland as well as upper ocean T, S, and chemical properties in progress New cores (Gadar Drift and Bay of Biscay) give detailled information on the structure of the thermocline Hydrographic reconstructions from the inflow region (Faroe transect and Norwegian Sea ready for the last years, will be extended back in time Summary WP 1.2

Data from WP3 for process understanding: - Overflow transport timeseries -Watermass characteristics monthly basis / Some key data should be put somewhere together, for instance the data from CT1 on overflow transport / overflow overturning Give information on variability on time scales most relevant for decadal prediction (CT4) CT1 and other CTs