The effect of climate change and systematic model bias on the monsoon-ENSO system: the TBO and changing ENSO regimes Andrew Turner

Slides:



Advertisements
Similar presentations
Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case.
Advertisements

The Indian Summer Monsoon and Climate Change Andrew Turner with Pete Inness & Julia Slingo RMetS meeting, Wednesday 20 June 2007.
Changing ENSO regimes and the Asian-Australian monsoon system in a future climate scenario Andrew Turner Pete Inness & Julia Slingo AAMP8, Honolulu,
The effect of doubled CO 2 and model basic state biases on the monsoon-ENSO system Andrew Turner, P.M. Inness & J.M. Slingo IUGG meeting: JMS011 Monsoon.
The Role of the Basic State in Determining the Predictability of Tropical Rainfall Andrew Turner, Pete Inness and Julia Slingo. Talk Outline Motivation.
Impacts of systematic model biases on intraseasonal variability of the Asian summer monsoon and the intraseasonal-interannual relationship A. G. Turner.
The effect of doubled CO 2 and model basic state biases on the monsoon- ENSO system Andrew Turner, Pete Inness, Julia Slingo Walker Institute / NCAS-Climate.
The effect of doubled CO 2 and model basic state biases on the monsoon- ENSO system: the mean response and interannual variability Andrew Turner, Pete.
NCAS Conference December 2007, Park Inn Hotel, York The Indian monsoon and climate change Andrew Turner, Julia Slingo.
Background: Increased greenhouse forcing could not only impact the mean monsoon in Southeast Asia, but also its interannual variability, possibly leading.
3 Reasons for the biennial tendency: The biennial tendency in HadCM3 2xCO 2 is in contrast with observed basinwide El Niño events which are often of 4-5.
The monsoon-ENSO teleconnection and different ENSO regimes in a flux corrected future climate Andrew Turner, Pete Inness, Julia Slingo IPSL/CGAM workshop.
Challenge and directions for improving GCM simulations of the monsoon Julia Slingo and Andrew Turner.
Motivation and Background AR4 Chapter 10: In summary, all models show continued ENSO interannual variability in the future no matter what the change in.
Temporal structure of ENSO in 20 th Century Climate simulations Antonietta Capotondi NOAA/Earth System Research Laboratory Collaborators: Andrew Wittenberg,
Considering Climate Variability & Change TOGETHER Lisa Goddard International Research Institute for Climate & Society The Earth Institute of Columbia University.
ENSO-Monsoon relationships in current and future climates Andrew Turner, Pete Inness and Julia Slingo The University of Reading Department of Meteorology.
1NCAS-Climate, University of Reading
Double ITCZ Phenomena in GCM’s Marcus D. Williams.
The causes of extreme rainfall in East Africa: insights from observed data and GCMs Emily Black, Julia Slingo and Ken Sperber.
The ENSO : El Niño and the Southern Oscillation J.P. Céron (Météo-France) and R. Washington (Oxford University)
Allie Marquardt. Outline Overview of El Niño A Change in the Atmosphere Resulting Changes in the Ocean Sea Surface Temperature Thermocline Rossby Waves.
References (1) Blanford, HF (1884) Proc. Roy. Soc. London 37. // (2) Becker, BD, JM Slingo, L Ferranti, F Molteni (2001) Mausam 52. // (3) Bamzai, AS &
Response of the Atmosphere to Climate Variability in the Tropical Atlantic By Alfredo Ruiz–Barradas 1, James A. Carton, and Sumant Nigam University of.
The 1997/98 ENSO event. Multivariate ENSO Index Index is based on 6 parameters relevant to phase.
SSH anomalies from satellite. Observed annual mean state Circulation creates equatorial cold tongues eastern Pacific Trades -> Ocean upwelling along Equator.
Vikram MehtaNASA SST Science Team Meeting, Seattle8 November 2010 Interannual to Decadal Variability of the West Pacific Warm Pool in Remote Sensing Based.
The 1997/98 ENSO event. Multivariate ENSO Index Index is based on 6 parameters relevant to phase.
El Nino Southern Oscillation (ENSO) 20 April 06 Byoung-Cheol Kim METEO 6030 Earth Climate System.
Modes of Pacific Climate Variability: ENSO and the PDO Michael Alexander Earth System Research Lab michael.alexander/publications/
Pacific vs. Indian Ocean warming: How does it matter for global and regional climate change? Joseph J. Barsugli Sang-Ik Shin Prashant D. Sardeshmukh NOAA-CIRES.
Seasonal outlook of the East Asian Summer in 2015 Motoaki Takekawa Tokyo Climate Center Japan Meteorological Agency May th FOCRAII 1.
ENSO in GFDL's Next-Generation Global Models
THE INDIAN OCEAN DIPOLE AND THE SOUTH AMERICAN MONSOON SYSTEM Anita Drumond and Tércio Ambrizzi University of São Paulo São Paulo, 2007
The MJO Not really….it’s The Madden Julian Oscillation.
Using a novel coupled-model framework to reduce tropical rainfall biases Nicholas Klingaman Steve Woolnough, Linda Hirons National Centre for Atmospheric.
ENSO Prediction and Policy Why Predict ENSO? How do we predict ENSO? Why is it possible ? What information do predictions offer? What to do with this information?
Biennial and interdecadal variations in the monsoon-ENSO system of a coupled GCM under doubled CO 2 conditions Andrew Turner, P.M. Inness & J.M. Slingo.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Red - ECMWF Green - Sintex Navy - POAMA-2.0.
1 Global Ocean Monitoring: Recent Evolution, Current Status, and Predictions Prepared by Climate Prediction Center, NCEP September 7, 2007
The role of the basic state in the ENSO-monsoon relationship and implications for predictability Andrew Turner, Pete Inness, Julia Slingo.
1 Daily modes of the South Asian monsoon variability and their relation with SST Deepthi Achuthavarier Work done with V. Krishnamurthy Acknowledgments.
Eastern Pacific feedbacks and the forecast of extreme El Niño events
El Niño Forecasting Stephen E. Zebiak International Research Institute for climate prediction The basis for predictability Early predictions New questions.
The El Niño Southern Oscillation (ENSO) Corey J Gabriel
1 The Impact of Mean Climate on ENSO Simulation and Prediction Xiaohua Pan Bohua Huang J. Shukla George Mason University Center for Ocean-Land-Atmosphere.
The effect of doubled CO 2 and model basic state biases on the monsoon-ENSO system Part I: mean and interannual variability Andrew Turner, P.M. Inness.
Homework 1 Solutions. Problem One Use Clausius-Clapeyron Curve From 0 o C to 3 o C – Change of ~1mb From 25 o C to 28 o C – Change of ~5mb (8)
Geophysical Fluid Dynamics Laboratory Presented by Andrew Wittenberg Geophysical Fluid Dynamics Laboratory 17 October 2012 Tropical Climate Change and.
Interannual Variability (Indian Ocean Dipole) P. N. Vinayachandran Centre for Atmospheric and Oceanic Sciences (CAOS) Indian Institute of Science (IISc)
CO 2 -induced changes in tropical climate as simulated by the GFDL coupled GCMs Andrew Wittenberg NOAA/GFDL.
ENSO in a Flux-Adjusted Coupled GCM with G. Vecchi, T. Delworth, A. Rosati, F. Zeng, and S. Ray Thanks to: NOAA CPO/CVP Andrew T. Wittenberg NOAA GFDL,
Spatial and Temporal Structures and Mechanisms of the TBO Tim Li, Ping Liu, Bin Wang, X. Fu, Jerry Meehl Outline 1.Observational analysis --An season-sequence.
M. Roberts, P. L. Vidale, D. Stevens, Ian Stevens, Len Shaffrey, UJCC team with help from many others at Met Office and NCAS-Climate and CCSR/NIES/FRCGC.
Summer Monsoon – Global Ocean Interactions Ben Kirtman George Mason University Center for Ocean-Land-Atmosphere Studies Acknowledgements: Randy Wu and.
Abstract: ENSO variability has a seasonal phase locking, with SST anomalies decreasing during the beginning of the year and SST anomalies increasing during.
ENSO Frequency Cascade and Implications for Predictability
Andrew Turner, Pete Inness, Julia Slingo
Composite patterns of DJF U200 anomalies for (a) strong EAJS, (b) weak EAJS, (c) El Niño and (d) La Niña.
El Nino Southern Oscillation
Dynamics of ENSO Complexity and Sensitivity
The 1997/98 ENSO event.
Monsoonal impacts on the Pacific climate and its
Predictability of Indian monsoon rainfall variability
The 1997/98 ENSO event.
The 1997/98 ENSO event.
T. Ose, T. Yasuda (MRI/JMA), Y. Takaya, S. Maeda, C. Kobayashi
JSPS 5th University Allied Workshop on Climate and Environmental Studies for Global Sustainability Decadal change in the relationship between East Asian-western.
Sub Topic – Indian Monsoon and Climate Change
Sub Topic – The Indian Summer Monsoon and Climate Change By- Mali B.B.
Presentation transcript:

The effect of climate change and systematic model bias on the monsoon-ENSO system: the TBO and changing ENSO regimes Andrew Turner Pete Inness, Julia Slingo

Outline Basis for study & heat flux adjustments. The effect of systematic bias in the future. Changing ENSO regimes and their properties. Why the eastward tendency? TBO in the model. Monsoon predictability and the observed record.

Background GCMs which generate mean climatologies close to observations are more likely to correctly represent interannual variability of precipitation. (Sperber & Palmer 1996). Equatorial Pacific SSTs important predictor of monsoon (Charney & Shukla 1981). Heat flux adjustments used at 1xCO 2 to correct systematic biases (Turner et al. 2005). Systematic model errors likely to have large impact on future predictions. Same adjustments used at 2xCO 2.

Annual mean heat flux into ocean Peak-to-peak amplitude

Nino-3 region SSTA in the Flux adjusted model at 2xCO 2

Nino-3 region SST annual cycle Nino-3 variance cycle

DJF Nino-3 vs equatorial band SSTs

Lag-correlation of TransNinoIndex with Nino3 SSTA, 12yr moving window

Why the tendency to thermocline mode (eastward) El Nino? Zonal advection (Local) Federov & Philander (2001) interpretation of Zebiak-Cane SST equation Vertical movements of themocline (governed by winds further west, remote) Linear damping Temperature diffusion Entrainment across thermocline (local)

Possibilities for tendency to T-modes Weakening of trades allows deepening of thermocline in east Pacific (Federov & Philander 2001) dominance of vertical movements over zonal advection. Wang & An 2002 see similar pattern to 2xCO2 or FA response in 1976 climate shift, and with increased mean upwelling in east, decreased zonal temperature gradient.

Webster Yang South Asia DMI (JJAS)

MAM(0) JJA(+1)MAM(+1) DJF(+1) SON(0) JJA(0)MAM(0)JJA(0) DJF(+1)SON(0) MAM(+1)JJA(+1)

Tendency to biennial period Subsurface Kelvin wave propagation more prevalent during biennial regime. Meridional confinement of wind stress response to ENSO (Kirtman 1997; Guilyardi et al. 2004) shortens period.

JJAS DMI vs AIR: Irregular cc=0.31 Biennial cc=0.71

Summary Tendency to T-mode ENSO (together with associated Kelvin-wave behaviour at depth) when FA applied / CO 2 doubled. Lack of broad meridional wind stress response in HadCM3 shortens period (only comes to light during strong T-mode behaviour).

Issues More understanding needs to be gained into the impact of different ENSO types on the monsoon system. Is modelled response to T-mode related to bienniality and/or incorrect representation in GCM?