Climate Change Projections of the Tasman Sea from an Ocean Eddy- resolving Model – the importance of eddies Richard Matear, Matt Chamberlain, Chaojiao.

Slides:



Advertisements
Similar presentations
Experiments with Monthly Satellite Ocean Color Fields in a NCEP Operational Ocean Forecast System PI: Eric Bayler, NESDIS/STAR Co-I: David Behringer, NWS/NCEP/EMC/GCWMB.
Advertisements

Scaling Laws, Scale Invariance, and Climate Prediction
Working Group 4 Coastal Biogeochemistry Forum, June 23-25, 2004 K. Lindsay, G. McKinley, C. Nevison, K. Plattner, R. Seifert Can coastal ecosystems be.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Building Bluelink David Griffin, Peter Oke, Andreas Schiller et al. March 2007 CSIRO Marine and Atmospheric Research.
WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”
Climate Change and Malaysia
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.
Introduction to Ocean Circulation - Geography 163 Wind-driven circulation of major gyres & surface currents Buoyancy-driven circulation linking the major.
Reconciling net TOA flux/ocean heating in observations and models 5-yr running means (Smith et al. 2015)Smith et al Spurious ocean data? CERES ERBS/reconReanalysis/recon.
The last century of warming…. GISS SAT England et al. [2014] Nature Climate Change.
Review High Resolution Modeling of Steric Sea-level Rise Tatsuo Suzuki (FRCGC,JAMSTEC) Understanding Sea-level Rise and Variability 6-9 June, 2006 Paris,
Potential temperature ( o C, Levitus 1994) Surface Global zonal mean.
On the Mechanisms of the Late 20 th century sea-surface temperature trends in the Southern Ocean Sergey Kravtsov University of Wisconsin-Milwaukee Department.
Janelle Fleming Interdisciplinary Seminar September 16, 1998 The North Pacific Ocean event: A unique climate shift, natural decadal variability,
Effects of Ocean-Atmosphere Coupling in a Modeling Study of Coastal Upwelling in the Area of Orographically-Intensified Flow Natalie Perlin, Eric Skyllingstad,
Building Bluelink Richard Matear, David Griffin, Peter Oke, Andreas Schiller et al. June 2007 CSIRO Marine and Atmospheric.
Characterization and causes of variability of sea level and thermocline depth in the tropical South Indian Ocean Laurie Trenary University of Colorado.
Climate Variability and Change in the U.S. GLOBEC Regions as Simulated by the IPCC Climate Models: Ecosystem Implications PIs: Antonietta Capotondi, University.
“ New Ocean Circulation Patterns from Combined Drifter and Satellite Data ” Peter Niiler Scripps Institution of Oceanography with original material from.
Temperature trends in the upper troposphere/ lower stratosphere as revealed by CCMs and AOGCMs Eugene Cordero, Sium Tesfai Department of Meteorology San.
“ Combining Ocean Velocity Observations and Altimeter Data for OGCM Verification ” Peter Niiler Scripps Institution of Oceanography with original material.
Towards higher resolution, global-ocean, tracer simulations
Impact of Climate Change on Water Resources Water Corporation Technical Seminars 10 July 2006 Brian Ryan CSIRO Marine and Atmospheric Research.
Transport in the Subpolar and Subtropical North Atlantic
Equitorial_Currents1 Equatorial Currents and Counter Currents Kurt House 3/25/2004.
Southern California Coast Observed Temperature Anomalies Observed Salinity Anomalies Geostrophic Along-shore Currents Warming Trend Low Frequency Salinity.
Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.
Using Global Ocean Models to Project Sea Level Rise Robert Hallberg NOAA / GFDL.
Temporal and Spatial variability of the East Australian Current Bernadette Sloyan, Ken Ridgway, Bec Cowley AMSA 2014.
ENSO Variability in SODA: SULAGNA RAY BENJAMIN GIESE TEXAS A&M UNIVERSITY WCRP 2010, Paris, Nov
Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model Hiroyuki Murakami (AESTO/MRI, Japan) Akio.
Regional Air-Sea Interactions in Eastern Pacific 6th International RSM Workshop Palisades, New York July 11-15, th International RSM Workshop Palisades,
Interannual Time Scales: ENSO Decadal Time Scales: Basin Wide Variability (e.g. Pacific Decadal Oscillation, North Atlantic Oscillation) Longer Time Scales:
Research Needs for Decadal to Centennial Climate Prediction: From observations to modelling Julia Slingo, Met Office, Exeter, UK & V. Ramaswamy. GFDL,
Antarctic Climate Response to Ozone Depletion in a Fine Resolution Ocean Climate Mode by Cecilia Bitz 1 and Lorenzo Polvani 2 1 Atmospheric Sciences, University.
1) What is the variability in eddy currents and the resulting impact on global climate and weather? Resolving meso-scale and sub- meso-scale ocean dynamics.
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.
Analysis of four decadal simulations of the Skagerrak mesoscale circulation using two ocean models Lars Petter Røed 1 and Jon Albretsen 2 Presented at.
Bifurcation Dynamics L. Gourdeau (1), B. Kessler (2) 1), LEGOS/IRD Nouméa, New Caledonia, 2) NOAA/PMEL, Seattle, USA Why is it important to study the bifurcation.
Law et al 2008; Matear & Lenton 2008; McNeil & Matear 2008 Impact of historical climate change on the Southern Ocean carbon cycle and implications for.
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
Building Bluelink David Griffin, Peter Oke, Andreas Schiller et al. March 2007 CSIRO Marine and Atmospheric Research.
Experience with ROMS for Downscaling IPCC Climate Models 2008 ROMS/TOMS European Workshop, Grenoble, 6-8 October Bjørn Ådlandsvik, Paul Budgell, Vidar.
PAPER REVIEW R Kirsten Feng. Impact of global warming on the East Asian winter monsoon revealed by nine coupled atmosphere-ocean GCMs Masatake.
1 Development of a Regional Coupled Ocean-Atmosphere Model Hyodae Seo, Arthur J. Miller, John O. Roads, and Masao Kanamitsu Scripps Institution of Oceanography.
One float case study The Argo float ( ) floating in the middle region of Indian Ocean was chosen for this study. In Figure 5, the MLD (red line),
Model Forced by: NCEP winds only Model Forced by: NCEP winds Local Surface Heat Flux Mean Advection of T’ CalCOFI Observations Coastal.
Tropical Atlantic Biases in CCSM4 Semyon A. Grodsky 1, James A. Carton 1, Sumant Nigam 1, and Yuko M. Okumura 2 1 Department of Atmospheric and Oceanic.
Jim Greenwood, Richard Matear, Chaojiao Sun, Liejun Zhong, James McLaughlin May 2013 CSIRO MARINE AND ATMOSPHERIC RESEARCH / WEALTH FROM OCEANS Impact.
GCM simulations for West Africa: Validation against observations and projections for future change G.Jenkins, A.Gaye, A. Kamga, A. Adedoyin, A. Garba,
Filling the Gap: The Structure of Near Coastal Winds Jeroen Molemaker, Francois Colas and Xavier Capet University of California Los Angeles.
WCC-3, Geneva, 31 Aug-4 Sep 2009 Advancing Climate Prediction Science – Decadal Prediction Mojib Latif Leibniz Institute of Marine Sciences, Kiel University,
Southern California Coast Observed Temperature Anomalies Observed Salinity Anomalies Geostrophic Along-shore Currents Warming Trend Low Frequency Salinity.
Hurricanes and Global Warming Kerry Emanuel Massachusetts Institute of Technology.
MICHAEL A. ALEXANDER, ILEANA BLADE, MATTHEW NEWMAN, JOHN R. LANZANTE AND NGAR-CHEUNG LAU, JAMES D. SCOTT Mike Groenke (Atmospheric Sciences Major)
Matthew J. Hoffman CEAFM/Burgers Symposium May 8, 2009 Johns Hopkins University Courtesy NOAA/AVHRR Courtesy NASA Earth Observatory.
THE BC SHELF ROMS MODEL THE BC SHELF ROMS MODEL Diane Masson, Isaak Fain, Mike Foreman Institute of Ocean Sciences Fisheries and Oceans, Canada The Canadian.
Seasonal Variations of MOC in the South Atlantic from Observations and Numerical Models Shenfu Dong CIMAS, University of Miami, and NOAA/AOML Coauthors:
Our water planet and our water hemisphere
Wind-driven halocline variability in the western Arctic Ocean
The Ocean’s role in the climate system
IPCC Working Group I Chapter 1 FINAL FIGURES
Arnold Sullivan, Wenju Cai and Tim Cowan 4th February 2010, AMOS
An Approach to Enhance Credibility of Decadal-Century Scale Arctic
Changes in surface climate of the tropical Pacific
Joint Proposal to WGOMD for a community ocean model experiment
Changes in surface climate of the tropical Pacific
Decadal prediction in the Pacific
Korea Ocean Research & Development Institute, Ansan, Republic of Korea
Presentation transcript:

Climate Change Projections of the Tasman Sea from an Ocean Eddy- resolving Model – the importance of eddies Richard Matear, Matt Chamberlain, Chaojiao Sun, Ming Feng CSIRO Marine and Atmospheric Research Sun et al 2012, Chamberlain et al 2012, Matear et al., 2013 in press JGR 1

Global Warming Trend Maximum warming in the Western Boundary Current regions due shifts and intensification of the WBC Wu et al., NCC 2012.

Outline 1.Why use Ocean Eddy-resolving Model? To resolve important processes like Boundary Currents and Eddies 2. How do we project climate change with an Ocean Eddy-resolving model Use climate anomalies from a global climate model projection to drive high-resolution model. 3. Consequence of resolving boundary currents and eddies Sea surface temperature Phytoplankton 3

Oceans around Australia – climate and high- resolution models Climate model captures large-scale ocean circulation, but misses the boundary currents (e.g. Leeuwin and East Australia Currents) and eddies Sun et al

Method of projecting Climate Change in the Ocean Eddy-Resolving Model Models used: Global Climate Model (GCM) – CSIRO Mk3.5 1°x 2° horizontal resolution ocean model Used output from the SRES A1b, “integrated world, balanced energy sources” emission scenario, IPCC’s AR4 calculated climate change anomalies from the GCM and used them to force the ocean eddy resolving model (minimise the effect of model bias in eddy-resolution projection). – Anomalies include change in Ocean State (T,S, N, Phytoplankton, Zooplankton) and changes in forcing (Heat, Freshwater and winds) Simulations presented for the decade of 2060s Ocean Eddy-resolving Model (OEM) – BlueLINK’s Ocean Forecasting Australia Model (OFAM1.0). Global domain with 10-km resolution around Australia. Present-day state simulated with observed forcings Future state adds anomalies to present day Chamberlain et al

Change in Boundary Currents – e.g. EAC Sun et al GCM OEM Multi-year averages GCM missing fine structure shown in the OEM. GCM has increased in the EAC extension flow along the coast of Australia OEM the increased flow in the EAC extension is due to eddies 6

Change in upper ocean Temperature: OEM – observation comparison Matear et al. 2013, JGR ModelObserved multiyear averages 7

Change in upper ocean Temperature: 2060s – 1990s Matear et al. 2013, JGR OEMGCM multiyear averages 8

Observed SST trends (°C / century Observed warming in Tasman in last 30 years closely resembles the projected warming Correlation with projected change GCM – 0.65 OEM – 0.74 Matear et al., 2013 JGR 9

Mixed Layer Depth Maximum (m): model verus observations Matear et al. 2013, JGR OEMObserved multiyear averages 10

Change in Mixed Layer Depth (m): Maximum and January Matear et al. 2013, JGR Seasonal Maximum Jan. 11

Change in Mixed Layer Depth (m): 2060s – 1990s from OEM Matear et al. 2013, JGR STZ 40S ESAZ 50S E 12

Eddy Kinetic Energy: 1990s and change Matear et al. 2013, JGR OEMObserved 13

Change in Annual Mean Phytoplankton (mmol N/m 3 ) Matear et al. 2013, JGR OEMGCM PP increases by 10% in the Tasman Sea (30- 50S and 145 – 170E 14

Change in Phytoplankton (mmol N/m 3 ) Matear et al. 2013, JGR 15 STZ 40S ESAZ 50S E

Conclusions Ocean Eddy-resolving Model alters the climate projection from the coarse resolution GCM by Changing the upper ocean warming (less warming along Tasmania) Changing the East Australian Current (EAC) response – increased EAC and increased EAC extension (more eddies) Increasing the phytoplankton concentrations north of the Sub- Tropical Front due to increased nutrient supply from eddy- pumping. Primary Production in the oligotrophic Tasman Sea increases by 10% with climate change rather than declining as projected by the GCM 16

Thank you

Phytoplankton– model vs observed chlorophyll OEMObserved

Phytoplankton– model vs observed chlorophyll OEMObserved

Change in Pacific phytoplankton concentrations 10 ICSHMO. Climate Change Science to Adaption Model BGC shows region of subsurface phytoplankton in western Pacific. Shoaling of thermocline with climate change makes relative subsurface response greater than surface. mmol(NO3)/m 3 mmol(NO3)/m s 2060s-1990s

10 ICSHMO. Climate Change Science to Adaption Oceans around Australia - schematic Website imos.org.au

Method of projecting Climate Change in the Ocean Eddy-Resolving Model Use change in ocean state (2060s – 1990s) of temperature, salinity and biogeochemistry to define OEM projection initial condition. Use change in surface fluxes (heat, freshwater, wind stress) to modify OEM fluxes. 10 ICSHMO. Climate Change Science to Adaption GCM Mk3.5 GCM Mk3.5 OEM OFAM OEM OFAM Spinup experiment Use ‘observed’ fluxes. Diagnose correction fluxes by restoring to observed surface temperature + salinity. Projection (2060s) Modified initial condition. Observed fluxes + correction + climate anomalies (+ feedback) Chamberlain et al

EAC current 10 ICSHMO. Climate Change Science to Adaption Sun et al GCM OEM Multi-year averages GCM missing fine structure shown in the OEM.

Change in Boundary Currents – southward transport of EAC Both GCM (dashed) and OEM (solid) show increase in EAC transport, but differ in the details. GCM – increased EAC only south of 32S – increase in the southward extension of the EAC OEM - increased EAC north of 32°S with most of the increased flowing east between ° S. Increased EAC extension flow south of 36S 10 ICSHMO. Climate Change Science to Adaption Sun et al Black – 1990s Red – 2060s