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Coordinated climate change experiments to be assessed as part of the IPCC AR5

Coordinated climate change experiments to be assessed as part of the IPCC AR5. Gerald A. Meehl National Center for Atmospheric Research Boulder, Colorado. Coordinated climate change experiments (formulated by WGCM and AIMES) to be run for assessment in IPCC AR5

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Coordinated climate change experiments to be assessed as part of the IPCC AR5

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  1. Coordinated climate change experiments to be assessed as part of the IPCC AR5 Gerald A. Meehl National Center for Atmospheric Research Boulder, Colorado

  2. Coordinated climate change experiments (formulated by WGCM and AIMES) to be run for assessment in IPCC AR5 • Two classes of models to address two time frames and two sets of science questions: • Decadal prediction (2005-2030) • higher resolution (~50 km), no carbon cycle, some chemistry and aerosols, single scenario, • science question: e.g. regional extremes • 2. Longer term (to 2100 and beyond) • intermediate resolution (~200 km), carbon cycle, specified/ simple chemistry and aerosols, new mitigation scenarios: “representative concentration pathways” (RCPs) science question: e.g. feedbacks (Meehl and Hibbard, 2007; Hibbard et al., 2007)

  3. Developmental version of CCSM3.5 (last 20 years of 20th century) 1995 – 1999 average. Improved SE USA rainfall.

  4. Need higher resolution to simulate extreme precipitation events Hi-CGCM = T106 (~100 km) Mid-CGDM = T42 (~240 km) (Kimoto et al., 2005)

  5. IPCC AR4 Fig. 10.29 Greater uncertainty towards higher values due in part to uncertainty in the size and nature of the carbon cycle feedback

  6. CO2 seen by carbon cycle and atmosphere Temperature CO2 fluxes saved Compatible Emissions Expt #1: Diagnose climate and carbon cycle feedbacks emissions = CO2 flux + CO2 concentrations

  7. Expt #2: Carbon cycle response with no climate change • Climate change (AOGCM or ESM) • Carbon cycle and compatible emissions (ESM or offline carbon cycle model) CO2 from experiment #1 seen by carbon cycle Temperature Constant CO2 seen by atmosphere T~ 0 CO2 fluxes saved #2 #1 #2 - #1 = effect of climate feedbacks on compatible emissions Emissions

  8. CO2 seen by carbon cycle and atmosphere Temperature CO2 fluxes Expt #3: Fully coupled ESM climate change projection Use emissions from RCP scenario, calculate fully coupled climate system response, compare temperature change to experiment 1 to determine size of carbon cycle feedback in terms of climate change

  9. CCWG recommendations: • 0.5 degree AOGCM version for decadal prediction experiments • 2 x 2.5 degree ESM for long term experiments

  10. Next: Mitigation/adaptation New mitigation scenarios run with earth system models will have implicit policy actions to target future levels of climate change But we can only mitigate part of the problem, and we will have to adapt to the remaining climate change The challenge: use climate models to quantify time-evolving regional climate changes to which human societies will have to adapt

  11. KAKUSHIN: Global Warming Experiment on the Earth Simulator 1979-2003 2075-2099 (MRI; Kanada et al) Prediction of ocean and atmosphere by AOGCM Prediction of regional climate by one-way nested NHM Prediction of regional climate by one-way nested NHM Time slice experiments 20km-AGCM 270km-AOGCM Regional Climate Model 1km-NHM 5km-NHM A A SST AGCM SST B.C. SST 25 years O 21st century CGCM SST difference: Future - Present 200-50km-OGCM 25 years Nested in the 20km-AGCM 25 years From June to Oct. for each climate. Near future Present climate SST yr

  12. “coupled” = climate and carbon cycle respond to increasing concentrations “uncoupled” = only carbon cycle responds (climate doesn’t see increasing concentrations) Permissible Emission =(CO2 in air) + Ocean/Land Uptake PgC/year SP550 SP1000 dashed: Uncoupled run solid: Coupled run Green: Fossil carbon emission (reality) Stabilization at SP550 requires a cumulative 24% reduction of permissible emissions due to positive carbon cycle feedback (23% for SP1000) MIROC integrated earth system model (Kawamiya et al.)

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