ACCESS – Australia’s national weather and global climate model system

Slides:



Advertisements
Similar presentations
WCRP polar climate predictability initiative Vladimir Ryabinin
Advertisements

NCAS-Climate: Carries out research into climate change and variability, motivated by the need to understand how the climate system will evolve over the.
Global Change Research in Belgium Guy P. Brasseur Max Planck Institute for Meteorology Chair, International Geosphere Biosphere Programme (IGBP)
Global warming: temperature and precipitation observations and predictions.
CMIP5: Overview of the Coupled Model Intercomparison Project Phase 5
Uganda’s climate: change and variability Prof Chris Reason, UCT & Lead Author, WG1 AR5 Regional circulation and climate Climate variability Long-term projections.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Task: (ECSK06) Regional downscaling Regional modelling with HadGEM3-RA driven by HadGEM2-AO projections National Institute of Meteorological Research (NIMR)/KMA.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Part 1a: Overview of the UM system
NCAS Unified Model Introduction Part 1a: Overview of the UM system University of Reading, 3-5 December 2014.
Overview of Coupled Model Intercomparison Project (CMIP) and IPCC AR5 Activities Ronald J Stouffer Karl Taylor, Jerry Meehl and many others June 2009.
Climate Modelling in Australia Michael Manton Bureau of Meteorology Research Centre APN Symposium, 23 March 2004.
Page 1GMES - ENSEMBLES 2008 ENSEMBLES. Page 2GMES - ENSEMBLES 2008 The ENSEMBLES Project  Began 4 years ago, will end in December 2009  Supported by.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves CAWCR (Centre for Australian.
CDC Cover. NOAA Lab roles in CCSP Strategic Plan for the U.S. Climate Change Science Program: Research Elements Element 3. Atmospheric Composition Aeronomy.
Identifying Grand Challenges in Climate Change Research: Guiding DOE’s Strategic Planning: Report on the DOE/BERAC workshop March Crystal City For.
Climate trends, regional and national climate change projections Gillian Cambers, SPC, GCCA: PSIS Project Manager.
The Australian Community Climate Earth-System Simulator The Australian Community Climate and Earth System Simulator Kamal Puri (ACCESS Group Leader)
R.Sutton RT4 coordinated experiments Rowan Sutton Centre for Global Atmospheric Modelling Department of Meteorology University of Reading.
World Climate Research Programme Climate Information for Decision Making Ghassem R. Asrar Director, WCRP.
Innovative Program of Climate Change Projection for the 21st century (KAKUSHIN Program) Innovative Program of Climate Change Projection for the 21st century.
Status of the Sea Ice Model Testing of CICE4.0 in the coupled model context is underway Includes numerous SE improvements, improved ridging formulation,
© Crown copyright Met Office AR5 Proposed runs for CMIP5 John Mitchell, after Karl Taylor, Ron Stouffer and others ENES, arch 2009.
Research Needs for Decadal to Centennial Climate Prediction: From observations to modelling Julia Slingo, Met Office, Exeter, UK & V. Ramaswamy. GFDL,
The evolution of climate modeling Kevin Hennessy on behalf of CSIRO & the Bureau of Meteorology Tuesday 30 th September 2003 Canberra Short course & Climate.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves and the POAMA Team CAWCR (Centre.
OCO 10/27/10 GFDL Activities in Decadal Intialization and Prediction A. Rosati, S. Zhang, T. Delworth, Y. Chang, R. Gudgel Presented by G. Vecchi 1. Coupled.
The GEOS-5 AOGCM List of co-authors Yury Vikhliaev Max Suarez Michele Rienecker Jelena Marshak, Bin Zhao, Robin Kovack, Yehui Chang, Jossy Jacob, Larry.
Uncertainties in soil and terrestrial carbon response to 20th century human CO 2 emissions J.-F. Exbrayat 1, Q. Zhang 2, A. J. Pitman 3, G. Abramowitz.
Climate Modeling Research & Applications in Wales John Houghton C 3 W conference, Aberystwyth 26 April 2011.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Sub-Seasonal Prediction Activities and.
© Crown copyright Met Office Uncertainties in the Development of Climate Scenarios Climate Data Analysis for Crop Modelling workshop Kasetsart University,
One-year re-forecast ensembles with CCSM3.0 using initial states for 1 January and 1 July in Model: CCSM3 is a coupled climate model with state-of-the-art.
Coupled climate modelling at CSIRO Presented by Tony Hirst CAWCR.
Coordinated climate change experiments to be assessed as part of the IPCC AR5 Gerald A. Meehl National Center for Atmospheric Research Boulder, Colorado.
Estimating climate variability over the next 1-25 years Dr Scott Power Dr Scott Power IOCI, August 2005 IOCI, August 2005.
Climate Dimensions of the Water Cycle Judith Curry.
Climate Mission Outcome A predictive understanding of the global climate system on time scales of weeks to decades with quantified uncertainties sufficient.
RAL, 2012, May 11 Research behaviour Martin Juckes, 11 May, 2012.
CMIP6 Catherine Senior C Senior, WGRC Montevideo, 14th March 2014
Climate Change Climate change scenarios of the
Tanya L. Spero1, Megan S. Mallard1, Stephany M
Australian CMIP6 Modelling Plans ACCESS-CM2/ESM2
GPC-Seoul: Status and future plans
Catherine Senior WGCM-19, October 19th 2015
Evaluation of a scheme representing cloud inhomogeneous structure in the Australian Community Climate and Earth System Simulator (ACCESS)
Community Earth System Model (CESM) for CMIP6
Interactive C-cycle in Earth System models
Mesoscale Ocean Processes
Dave Bi, Peter Dobrohotoff, Arnold Sullivan
Prediction for Climate Services
Edwin Gerber (New York University)
GFDL Climate Model Status and Plans for Product Generation
WORLD CLIMATE RESEARCH PROGRAMME
USAEE Conference 2016, October 26, Tulsa, Oklahoma, USA
Ronald J Stouffer Karl Taylor, Jerry Meehl and many others
Ocean Sub-Surface Observing Network
A coupled ensemble data assimilation system for seasonal prediction
Workshop 1: GFDL (Princeton), June 1-2, 2006
Decadal Climate Forecasting Project
Anthropocene physical basis of climate spring 2011
Implementation Plan for CCSM 4
National Center for Atmospheric Research
Understanding and forecasting seasonal-to-decadal climate variations
GFDL-NCAR/CCSM collaborations
Beyond
Lauren Santi and Alison Gray
Volcanic Climate Impacts and ENSO Interaction
Presentation transcript:

ACCESS – Australia’s national weather and global climate model system Climate modelling Tony Hirst | Earth System Modelling CSIRO Oceans and Atmosphere

The ACCESS Modelling Program Provide a national approach to climate and weather prediction model development Joint initiative Bureau of Meteorology CSIRO Australian universities Strong international collaborations Met Office GFDL This talk – the longer time scales Decadal prediction Multi-decadal projections Climate – carbon cycle and atmospheric chemistry feedbacks Aims to support research and applications across a range of time scales: Numerical weather prediction through climate change projection

Motivation: Climate parameters are changing Australia’s climate is dominated by drought and flood cycles and a range of high impact weather How will these change? Emissions policy is tightening Independent modelling capability to explore these challenges Independent contribution towards global solutions including modelling contributions to support the IPCC process Often with substantial human, social, environmental and financial costs

ACCESS: Earth System Model Atmospheric chemistry UKCA Atmosphere UM Coupler OASIS – ocean/atm/sea-ice JULES framework Terrestrial CABLE Terrestrial Carbon CASA-CNP Ocean: GFDL MOM Sea-ice: LANL CICE Ocean bgc WOMBAT (Matear et al.)

ACCESS: Global climate modelling ACCESS1: First ACCESS coupled climate model Atmosphere Met Office UM7.3 + CAWCR mods Terrestrial CABLE1.8 or MOSES2 Coupler OASIS3 Bathymetric depth (m) Ocean and sea-ice MOM4p1 and CICE4 Ocean and sea-ice Atmospheric resolution ~130 km horizontal “N96” 38 levels vertically Ocean component grid and bathymetry (showing every 4th grid row zonally and meridionally).

ACCESS Climate Model – Simulations to contribute to IPCC 5th Assessment Report and CMIP5 CMIP5 model versions ACCESS1.0 and ACCESS1.3 Differ in land surface model Differ in atmospheric physics (esp. cloud) CMIP5 simulations CORE experiments Historical ensembles, RCP simulations Output published on Earth System Grid (NCI node) ACCESS – RCP4.5 and RCP8.5 Surface air temp anomaly (°C) Instead include figures from Australia! Collaboration between CSIRO, Bureau and ARCCSS Computing done on NCI Supported by the ACCSP

ACCESS-ESM1 First ACCESS Earth System Model CO2 flux to atmosphere (prescribed atmospheric CO2 concentrations) Based on improved version of ACCESS1.3 Includes ocean and land carbon cycle Simulations (prescribed CO2) 1000 yr pre-industrial (blue) Historical (green) Future scenarios: RCP4.5 (black); RCP8.5 (red) Also an emissions driven set ‘Workhorse’ model for ESM science for near future Land carbon exchange Ocean carbon exchange Moving to our current systems….. Can be used to address many questions in the carbon-climate feedback area Model Year Law et al., Geosci. Model Dev. Discuss., 2015; Ziehn et al., Geosci. Model Dev. Discuss., submitted.

ACCESS-ESM1 – some limitations: Issues with tropical variability (ENSO, IOD, intraseasonal) Issues with aerosol radiative forcing Vertical and oceanic resolution inadequate for some applications UM community moving to new atmospheric models “GA6” and “GA7” (Partner interest in up-to-date physics!) Development of ACCESS-CM2/ESM2 underway Atmospheric code becoming out of date 8

ACCESS-ESM1 and ACCESS-CM2/ESM2 Atmospheric code UM7.3 UM10.x Atmospheric physics UM7.3 default (e.g., PC2 cloud) + CAWCR mods (pre-GA1) GA7 (pending – interim GA6) Atmospheric resolution Horizontal: N96 (~130 km) Vertical: 38 levels Horizontal: N96 and N216 (~60 km) Vertical: 85 levels Atmospheric chemistry None UKCA Land surface model CABLE2 CABLE2 (pending – interim JULES) Terrestrial biogeochemistry CASA-CNP Ocean model Modular Ocean Model (MOM5). MOM5.1 Ocean resolution Horizontal: 1 deg lat/lon (enhanced tropics and polar)   Vertical: 50 levels and 0.25 deg lat/lon Sea ice model CICE5 CICE5.1 Ocean biogeochemistry WOMBAT

Prototype ACCESS-CM2 now running Currently has GA6 atmosphere Currently has Jules land surface model Three versions – different horizontal resolution Resolution Atmosphere Ocean Trial Simulation completed Computing Standard “N96O1” N96 (~130 km) 1 deg. 200 years 496 cores, 5 y/d Mixed “N96O.25” N96 0.25 deg. 300 years 2112 cores, 6 y/d High “N216O.25” N216 (~60 km) 2 years 2688 cores, 1.5 y/d GA6 “Global Atmosphere 6” includes many improvements over that used in ACCESS1.3 which was approx GA1, notably a new dynamical core “ENDGAME”. Strong collaboration with ARCCSS and Bureau in high-res ocean (“O.25”) versions 10

SST snapshot – ACCESS-CM2 Version N96O.25 – 0.25 deg ocean The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology

Indian Ocean Dipole (SON) ACCESS-CM2 (years 101-200) N96O.25 version HadISST (yrs 1950-2014) – IOD N96O1 version While ENSO behaviour is comparable, that for the IOD is very different. Simon Marsland, WGCM_19, Dubrovnik, October 2015

SST Bias – ACCESS-CM2 N96O.25 version N96O1 version (years 151-200) Southern Ocean warm bias due to cloud/radiation biases Is common to models based on GA6 atmosphere

GA7 model configuration Implemented at NCI with 10-year trial simulation performed. GA7 includes a range of improvements, most notably the new GLOMAP aerosol scheme (has much more physical treatment of mixed aerosol optical properties). Timing tests – Version with resolution N96, 85 levels Comparison with previous GA6 version suggests CPU time cost ~75% higher. Not just aerosols – GA7 case with prescribed climatological aerosols still costs 20% more CPU time. Collaboration with NCI – Aim to reduce wall time by better optimisation and higher core numbers, both at N96 and N216 Cores GA6 – Years/day GA7 - Years/day 256 4.0 2.2 384 5.0 3.0 512 (2 threads) 5.6 3.1 We are only beginning to analyse the output. Remains to be seen if Southern Ocean and other biases are sufficiently reduced.

ACCESS-CM2/ESM2 timeline Time Step June 2016 Final code in place (GA7 – UM10.x, CABLE2) July – Dec 2016 Testing and tuning (N96O1, N96O.25) Jan – June 2017 Perform final trial simulations June 2017 Select final configuration(s) July – Dec 2017 CMIP6 DECK and Tier 1 scenarioMIP simulations 2018 Other MIP simulations conducted N216 version – continue in background next two years; lag above by ~2 years. ACCESS-ESM version (N96) with atmospheric chemistry – continue testing UKCA next two years; lag above by ~2 years. 15

Applications Consequences of Paris COP21 conference Focus on very low emissions scenarios (limit to 2° C, or 1.5° C, above pre-industrial) Australia to reduce total CO2 emissions by 26-28% by 2030 (with 5-yearly review) New scientific focus – ACCESS-ESM well placed to contribute: E.g., effect of nutrient limitation on terrestrial carbon uptake E.g., effectiveness of carbon abatement strategies based on land-use change RCP8.5 Results from ACCESS-ESM1: Allowed emissions to achieve RCP CO2 concentrations are much less when terrestrial nutrient limitation is included. Note 2015 global anomaly was over 1.0 C above 19th century RCP2.6 requires negative emissions from about 2050 Allowed emissions (fossil+land use) RCP4.5 RCP2.6 Calendar year)

Applications Decadal prediction (O’Kane lead) Focus on very Focus on time scales of several to 10 years Initialisation will use existing assimilation (BODAS) plus a newly developed ensemble generation code focusing on the dominant growing modes relevant to long time scales. Use ACCESS-CM2 (N96O.25) Compliments experimental work lead by Jing-Jia Luo on prediction at time scales of 1-3 years, using ACCESS-S. ACCESS Regional Climate Modelling – link with Met Office initiative Met Office new focus on convective scale RCM (~1.5 km grid) Team of 3-4 FTE being established at Met Office RCM will become part of the regular UM releases Stronger basis for an enhanced ACCESS RCM development Would have synergy with the ACCESS-C limited area model for NWP Significant preparation of CABLE for convective scale modelling already done Note 2015 global anomaly was over 1.0 C above 19th century RCP2.6 requires negative emissions from about 2050

Summary and Key Points ACCESS: an internationally competitive weather and climate prediction system Current versions for climate simulations are ACCESS-ESM1 Includes carbon cycle ACCESS-CM2 (developmental version) Higher vertical and oceanic resolution, and model physics improvements Can be used to address a range of scientific and policy-relevant applications, e.g., COP21 emissions requirements and emissions abatement commitments Multi-annual/decadal prediction experimentation ‘Convective-scale’ regional climate modelling for dynamical downscaling Has collaboration with the broader research community as one of its major objectives

Thank you Tony Hirst Oceans & Atmosphere, Research Group Leader e tony.hirst@csiro.au w www.csiro.au

Paris COP21 Conference Aims Commitments To limit global surface warming to 2° C (above pre-industrial) To aim towards limiting warming to 1.5 ° C Commitments Australia to reduce total CO2 emissions by 26-28% by 2030. To have a 5-yearly review of the emissions targets of all nations. New scientific focus – very low emissions targets Damages avoided and adaptation costs saved – what does going from a 2 C to 1.5 C warming save? What is the required timing of emissions reductions and additional mitigation costs required to achieve 1.5 C warming? Global mean surface air temp change ACCESS-ESM1 RCP8.5 Note 2015 global anomaly was over 1.0 C above 19th century RCP4.5 RCP2.6 ACCESS-ESM well placed to contribute

ACCESS-ESM1 carbon projections Our ESM group are world leaders in modelling the effects of nutrient limitation on terrestrial carbon uptake. Allowed emissions (fossil+land use) given diagnosed land and ocean carbon uptake Land carbon uptake for RCP2.6 case RCP8.5 RCP4.5 Black: CMIP5; Red: ACCESS-ESM1 ACCESS-ESM1 includes nitrogen and phosphorus limitation on carbon uptake At the low end of CMIP5 range (thus lower allowed emissions). Almost all CMIP5 models do not have nutrient limitation RCP2.6 RCP2.6 requires negative emissions from about 2050.

Australian emissions reduction target – Effectiveness of carbon abatement initiatives Current methodology: Forest stand growth modelling Rates of carbon sequestration averaged over 20 years masked by cleared land area (Polglase et al. 2013). What is missing? Change in soil carbon stocks✔ Coupling to water cycle✔ Response to changing climate✔ Response to CO2✔ Response to disturbance, including fire✔ Drought-stress mortality✔ Current available information to estimate the potential for carbon sequestration in Australia is based on a forestry model which does a good job on aboveground biomass of forest. However, the vegetation estimates are insensitive to the CO2 fertilization effect of the rising of atmospheric CO2, it is not coupled to the water cycle to understand the water cost of massive reforestation, it deosn’t respond to a future changing climate. Our CABLE australia modeling capability can address all of these key processes to a better constrain the sequestration potential. (what is already know bios2) In addition, we are developing the capacity to include both disturbances, including fire, and mortality from drought-stress (what we will call bios3) CABLE-based system for Australian assessment (BIOS) ✔ BIOS2 ✔ BIOS3

Multi-year/decadal prediction Proportion of sea surface height variance for period 1-2 years Bureau (Luo lead) Set of 3 year hindcasts – case studies Initialisation as for seasonal prediction Initially use Met Office initial conditions Later our local assimilation and ensemble generation scheme Use ACCESS-S system Proportion of sea surface height variance for period 5-10 years CSIRO (O’Kane lead) Focus on the longer time scales (several – 10 years) Initialisation will use existing assimilation (BODAS) plus a newly developed ensemble generation code focusing on the dominant growing modes relevant to long time scales. Use ACCESS-CM2 (N96O.25) Case studies e.g., El Nino to La Nina transition periods. dominant growing modes - These modes have a strong signature in the sub-tropics/mid latutudes.

ACCESS: Regional climate modelling ACCESS capability in high-resolution climate modelling High resolution global atmospheric modelling (currently ~40 km, 25 km planned) Limited area modelling, with implementation of scale-selective spectral nudging underway Progress has been gradual due to limited resources and coordination issues Met Office initiative New focus on convective scale RCM (~1.5 km grid) Team of 3-4 FTE being established at Met Office Will become part of the regular UM releases Stronger basis for an enhanced ACCESS RCM development Would have synergy with the ACCESS-C limited area model for NWP Significant preparation of CABLE for convective scale modelling already done High res global atmosphere …… Time slice using sea surface temperature from lower resolution coupled runs 24