A Mechanistic Model of Mid-Latitude Decadal Climate Variability

Slides:



Advertisements
Similar presentations
Blocking and regime transitions Tim Woollings With thanks to: Brian Hoskins, Abdel Hannachi, Christian Franzke, Joaquim Pinto, Joao Santos, Olivia Martius,
Advertisements

North Pacific and North Atlantic multidecadal variability: Origin, Predictability, and Implications for Model Development Thanks to: J. Ba, N. Keenlyside,
Atmospheric response to North Pacific SST The role of model resolution and synoptic SST variability Guidi Zhou, Mojib Latif, Wonsun Park*, Richard Greatbatch.
Weather Noise Forcing of Low Frequency Variability in the North Atlantic Edwin K. Schneider COLA SAC Meeting April 2010.
Low-frequency variability in the mid-latitude atmosphere induced by an oceanic thermal front: Application to the North Atlantic Ocean Yizhak Feliks 1,2.
El-Nino, climatic variability and North Pacific Surface Temperature Fields Analysis Prof. Victor I.Kuzin Institute of Computational Mathematics & Mathematical.
Climatic impacts of stochastic fluctuations in air–sea fluxes Paul Williams Department of Meteorology, University of Reading, UK.
The influence of extra-tropical, atmospheric zonal wave three on the regional variation of Antarctic sea ice Marilyn Raphael UCLA Department of Geography.
Earth Systems Science Chapter 6 I. Modeling the Atmosphere-Ocean System 1.Statistical vs physical models; analytical vs numerical models; equilibrium vs.
Nonlinear Mechanisms of Interdecadal Climate Modes: Atmospheric and Oceanic Observations, and Coupled Models Michael Ghil Ecole Normale Supérieure, Paris,
LOW FREQUENCY VARIATION OF SEA SURFACE SALINITY IN THE TROPICAL ATLANTIC Semyon A. Grodsky 1, James A. Carton 1, and Frederick M. Bingham 2 1 Department.
Modes of Pacific Climate Variability: ENSO and the PDO Michael Alexander Earth System Research Lab michael.alexander/publications/
EVAT 554 OCEAN-ATMOSPHERE DYNAMICS THERMOHALINE CIRCULATION (CONTINUED) LECTURE 20.
Review High Resolution Modeling of Steric Sea-level Rise Tatsuo Suzuki (FRCGC,JAMSTEC) Understanding Sea-level Rise and Variability 6-9 June, 2006 Paris,
Effects of Climate Change on Marine Ecosystems David Mountain US CLIVAR Science Symposium 14 July 2008.
The meridional coherence of the North Atlantic meridional overturning circulation Rory Bingham Proudman Oceanographic Laboratory Coauthors: Chris Hughes,
Northern Hemisphere Atmospheric Transient Eddy Fluxes and their Co-variability with the Gulf Stream and Kuroshio-Oyashio Extensions Young-Oh Kwon and Terrence.
1.Introduction 2.Description of model 3.Experimental design 4.Ocean ciruculation on an aquaplanet represented in the model depth latitude depth latitude.
Mode (Eighteen Degree) Water V.Y. Chow EPS Dec 2005.
Assuming 16 cm standard deviation. The final result – 5 of these records were noisy Halifax Grand Banks Line W 4100 m 2700 m 3250 m 2250 m 1800 m.
Sara Vieira Committee members: Dr. Peter Webster
Part II: Where are we going? Like an ocean... The waves crash down... Introducing OCEAN ATMOSPHERE INTERACTION.
North Atlantic Oscillation (NAO) Primary forcing mechanism of the NAO: internal atmospheric dynamics How can we account for the redness in the spectrum?
Climatic Effects of Mesoscale Turbulence in the Ocean and Atmosphere Sergey Kravtsov University of Wisconsin-Milwaukee Department of Mathematical Sciences.
C20C Workshop ICTP Trieste 2004 The Influence of the Ocean on the North Atlantic Climate Variability in C20C simulations with CSRIO AGCM Hodson.
Michael J. McPhaden, NOAA/PMEL Dongxiao Zhang, University of Washington and NOAA/PMEL Circulation Changes Linked to ENSO- like Pacific Decadal Variability.
Interannual Time Scales: ENSO Decadal Time Scales: Basin Wide Variability (e.g. Pacific Decadal Oscillation, North Atlantic Oscillation) Longer Time Scales:
Components of the Global Climate Change Process IPCC AR4.
Typical Mean Dynamic Balances in Estuaries Along-Estuary Component 1. Barotropic pressure gradient vs. friction Steady state, linear motion, no rotation,
Interannual Variability in the Extratropical Ocean Carbon System
Interactions between the Madden- Julian Oscillation and the North Atlantic Oscillation Hai Lin Meteorological Research Division, Environment Canada Acknowledgements:
Camp et al. (2003) illustrated that two leading modes of tropical total ozone variability exhibit structrures of the QBO and the solar cycle. Figure (1)
1 Xujing Jia Davis Graduate School of Oceanography, University of Rhode Island Lewis M. Rothstein Graduate School of Oceanography, University of Rhode.
Role of the Gulf Stream and Kuroshio-Oyashio Systems in Large- Scale Atmosphere-Ocean Interaction: A Review Young-oh Kwon et al.
Preferred Modes of Variability and Their Relationship with Climate Change The Pennsylvania State University Department of Meteorology Seok-Woo Son and.
Modes of variability and teleconnections: Part II Hai Lin Meteorological Research Division, Environment Canada Advanced School and Workshop on S2S ICTP,
The Character of North Atlantic Subtropical Mode Water Potential Vorticity Forcing Otmar Olsina, William Dewar Dept. of Oceanography, Florida State University.
Teleconnections of Atlantic Multidecadal Oscillation Sergey Kravtsov University of Wisconsin-Milwaukee Department of Mathematical Sciences Atmospheric.
Rossby wave breaking (RWB) Definition Detection / Measurement Climatology Dynamics – Impact on internal variability (NAO / NAM) – Impact on surface turbulent.
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.
Contributions to SST Anomalies in the Atlantic Ocean [Ocean Control of Air-Sea Heat Fluxes] Kathie Kelly Suzanne Dickinson and LuAnne Thompson University.
MJO Research at Environment Canada Meteorological Research Division Environment Canada Hai Lin Trieste, Italy, August 2008.
Decadal Variability, Impact, and Prediction of the Kuroshio Extension System B. Qiu 1, S. Chen 1, N. Schneider 1 and B. Taguchi 2 1. Dept of Oceanography,
Advances in Fundamental Climate Dynamics John M. Wallace et al.
Reconstructing spatiotemporal characteristics of sea-level pressure variability in reanalysis data set using a feature-tracking approach S. Kravtsov 1,
Southern California Coast Observed Temperature Anomalies Observed Salinity Anomalies Geostrophic Along-shore Currents Warming Trend Low Frequency Salinity.
Kinematics of eddy–mean-flow interaction in an idealized atmospheric model Sergey Kravtsov and Sergey K. Gulev University of Wisconsin-Milwaukee Department.
Mechanisms that control the latitude of jet streams and surface westerlies Gang Chen (Princeton University) Isaac Held (GFDL) August 1,
An Empirical Model of Decadal ENSO Variability Sergey Kravtsov University of Wisconsin-Milwaukee Department of Mathematical Sciences Atmospheric Science.
Predictability associated with nonlinear regimes in an idealzied atmospheric model Sergey Kravtsov University of Wisconsin-Milwaukee Department of Mathematical.
Observed influence of North Pacific SST anomalies on the atmospheric circulation Claude Frankignoul and Nathalie Sennéchael LOCEAN/IPSL, Université Pierre.
Michael J. McPhaden, NOAA/PMEL Dongxiao Zhang, University of Washington and NOAA/PMEL Circulation Changes Linked to ENSO- like Pacific Decadal Variability.
Reconstructing sea-level pressure variability via a feature-tracking approach S. Kravtsov 1, 2, I. Rudeva 3, 2, and S. K. Gulev 2 1 University of Wisconsin-Milwaukee,
Impacts of Climate and basin-scale variability on the seeding and production of Calanus finmarchicus in the Gulf of Maine and Georges Bank Avijit Gangopadhyay.
ENSO Frequency Cascade and Implications for Predictability
A Comparison of Profiling Float and XBT Representations of Upper Layer Temperature Structure of the Northwestern Subtropical North Atlantic Robert L.
Center for Climate System Research
Dynamics of ENSO Complexity and Sensitivity
Baroclinic and barotropic annular modes
Eddy-Driven Coupled Variability in a Mid-Latitude Climate Model
Coupled Atmosphere-Wave-Ocean Modeling Experiments in Hurricanes
Tore Furevik Geophysical Institute, University of Bergen
Liping Zhang, Thomas L. Delworth, Will Cooke, and Xiaosong Yang
Dynamics of Annular Modes
Simulating the extratropical response to the Madden-Julian Oscillation
1,2 Fedele G. 3 Penduff T., 4 Pierini S., 2 Bellucci A., 2 Masina S.
Aiming Wu, William W. Hsieh
Extratropical Climate and Variability in CCSM3
Dynamics of Annular Modes
Presentation transcript:

A Mechanistic Model of Mid-Latitude Decadal Climate Variability (IMAGe T-O-Y Workshop IV) Sergey Kravtsov Department of Mathematical Sciences, UWM May 19, 2006 Collaborators: William Dewar, Pavel Berloff, Michael Ghil, James McWilliams, Andrew Robertson

Multi-scale problem!!! North Atlantic Ocean — Atmosphere System: Large-scale (1000 km) high-frequency (monthly) atmospheric patterns vs. small-scale (100 km) low-frequency (interannual) oceanic patterns associated with Gulf Stream variability Atmosphere: some degree of scale separation between synoptic eddies (somewhat smaller and faster) and large-scale low-frequency patterns Ocean: some spatial-scale separation in along-current direction (“eddies” vs. “jet”)

North Atlantic Oscillation and Arctic Oscillation NAO AO

SST and NAO SST tripole pattern Decadal time scale detected in NAO/SST time series If real, what dynamics does this signal represent? We will emphasize ocean’s dynamical inertia due to eddies AGCMs: response to (small) SSTAs is weak and model-dependent SST tripole pattern (Marshall et al. 2001, Journal of Climate: Vol. 14, No. 7, pp. 1399–1421) Nonlinear: small SSTAs – large response??

Coupled QG Model Eddy-resolving atmospheric and ocean components, both cha- racterized by vigorous intrinsic variability (Thermo-) dynamic coupling via constant- depth oceanic mixed layer with entrainment

Atmospheric circulation

Zonal-jet bimodality in the model

Intra-seasonal oscillations in the atmospheric model

Atmospheric driving of ocean Coupled effect: Occupation frequency of atmospheric low-latitude state exhibits (inter)-decadal broad-band periodicity

Oceanic circulation

Eddy effects on O-climatology–I

Eddy effects on O-climatology–II

Eddy effects on O-LFV–I (EPV-flux tendency regressed onto PC-1 of 1) ALL LL HH – 10 yr – 5 yr 0 yr + 5 yr + 10 yr

Eddy effects on O-LFV–II T – “slow” time scale;  – “fast” time scale Substitute decomposition into equation and average over slow time scale:

Eddy effects on O-LFV–III – coarse grid “large-scale” solution forced, at the coarse grid, by the history of , where is the fine-grid solution; – “eddy component” O x x x O x x x x x O x x x O O – coarse grid x – fine grid

Eddy effects on O-LFV–IV Dynamical decomposition into large-scale flow and eddy-flow components, based on parallel integration of the full and “coarse- grained” ocean models (Berloff 2005) “Coarse-grained” model forced by randomized spatially-coherent eddy PV fluxes exhibits realistic climatology and variability Main eddy effect is rectification of oceanic jet (eddy fluctuations are fundamental)

Dynamics of the oscillation–I Initial state A-jet shift O-jet is maintained for a while largely due to stochastic eddy forcing via rectification

Dynamics of the oscillation – II High Ocean Energy = High- Latitude (HL) O-Jet State HL ocean state = A-jet’s Low-Latitude (LL) state O-Jet stays in HL state for a few years due to O-eddies

Dynamics of the oscillation – III Oscillation’s period is of about 20 yr in low- ocean-drag case and is of about 10 yr in high- ocean-drag case Period scales as eddy- driven adjustment time

Conceptual model – I Fit A-jet position time series from A-only simu- lations forced by O-states keyed to phases of the oscillation to a stochastic model of the form [ V(x) – polynomial in x ]

Conceptual model – II

Conceptual model – III “Atmosphere:” “Ocean:” -1=2 yr, Td=5 yr • Delay: ocean’s jet does not “see” the loss of local atmospheric forcing because ocean eddies dominate maintenance of O-jet for as long as Td • Atmospheric potential function responds to oceanic changes instantaneously: O-Jet HL state favors A-Jet LL state and vice versa

Conceptual model – IV

Conceptual model – V

Summary Mid-latitude climate model involving turbulent oceanic and atmospheric components exhibits inter-decadal coupled oscillation Bimodal character of atmospheric LFV is res- ponsible for atmospheric sensitivity to SSTAs Ocean responds to changes in occupation frequency of atmospheric regimes with a delay due to ocean eddy effects Conceptual toy model was used to illustrate how these two effects lead to the coupled oscillation