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Energy Systems & Climate Change Friday 24 Feb. 2012 Ch.15: Future Climates Week 7 Dr. E.J. Zita [email protected] http://academic.evergreen.edu/curricular/energy/ Today Questions? Announcements? Logistics … Field trip planning Ch.14: Research Projects Ch.15: Future Climates Brief reports Ch.15 Questions Future Climates • Temperature and forcing data → climate predictions? • Equilibrium Climate models: – 1-dimensional (variable height) • 1-layer, 2-layer, many-layer Equilibrium: 1-dimensional (variable height) – 2 & 3 dimensional: latitude & longitude • Time-dependent climate models: – Validation: calibration, hindcasting – Projections • Consequences of climate change Temperature and CO2 changes track • t Past six ice ages to present Can we accurately predict global response to climate forcings? We don’t know enough about: • Feedbacks • other nonlinear effects • clouds, volcanoes, weather patterns… • human choices Temperatures in the past 1000 yrs • t Models and projections are possible • Understand the science as well as possible • Make good models, test them against data, and improve them • Use models to project future climates, • for ranges of different variables (human choices, or forcings by 2100) One-dimensional equilibrium models Equilibrium: not changing in time: power balance: find the constant temperature One dimensional: variation with radius, or height 1D equilibrium model Two-dimensional models Variations with height and latitude Three-dimensional models Variations with height, latitude, and longitude Time-dependent models Beyond equilibrium: In ionized media: E dm rate of mass flow dt dp F= forces dt dB : Faraday's law: changing magnetic fields induce electric fields dt dE B 0 0 0 J dt Ampere's law: currents and changing electric fields drive magnetic fields Induction equation: flows and magnetic fields can cause changes in each other Model coupling Model resolution and speed • Better spatial resolution requires smaller grids cells • Grid cells multiply (3D) • More grids – or diversity of resolution scales – requires longer time for computers to run models • NCAR’s Community Climate System Model: 1° longitude x 0.3° latitude x (40 ocean + 26 atmospheric) layers = 3 million cells: runs 4 years in 1 day of supercomputer time Testing models • Calibration: compare with known simple a analytic cases • Hindcasting: initialize with old data run models forward in time improve models until they can reproduce established observations Modeled Climate Sensitivity Discuss transient vs equilibrium response Validating models: Atmospheric temperature Stratosphere Troposphere Validating models: Precipitation vs. Latitude Validating models: Temperatures after Pinatubo eruption Projections of Future climates Why “projections” and not “predictions”? Unpredictable factors include: • Human choices • Volcanoes, ENSO, NAO • Feedbacks, other nonlinear effects Projected climate sensitivity N.B. These are transients only: add 1.5°C as in Fig.15.4 IPCC future scenarios (AR4) Which is closest to: • McKibben’s ideal in Deep Economy? • Pacala and Socolow’s wedge solution? • your personal ideal solution? IPCC CO2 emissions projections end of oil BAU TAR TS Fig.17 New emissions scenarios IPCC AR5: 2013 CO2 concentrations IPCC AR5: 2013 Projected global DT IPCC AR5: 2013 IPCC AR4 DT projections for A1B Next decade: 2020-2029 End of century: 2090-2099 Temperature increases in °C relative to the period 1980-1999 AR4 SPM1 Fig.6 IPCC AR5 DT projections for RCP4.5 Projected temperature increases for the period 2081–2100, compared with 1986–2005, for the RCP4.5 scenario. Note that increases are largest in the Arctic and generally greater on land than over the oceans. Consequences of Global Climate Change Extreme temperature events Hydrologic cycle & weather Record Rainfall (Day, Month) November 2006. Puget Sound with 6-m SLR (http://flood.firetree.net) Species ranges Ocean Circulation http://www.windows2universe.org/earth/Water/ocean_currents.html Ocean Acidification Impacts Climate Change & Society Tuvalu will be gone soon. The people of this low-lying island nation have already been accepted by New Zealand as climate refugees. Greatest impacts on people in developing nations, those least responsible for causing climate disruption (Mumbai, 3 ft of rain in 24 hrs) Advancing vector-borne infectious diseases (malaria, dengue, West Nile, hanta,…), increasing heat-wave deaths Climate change will severely impact food production in the developing world L Brown estimates 10% loss in ag. productivity for each 1 oC of warming Mountain pine beetle migrates faster than Cascade lodgepole pine Record fire seasons in 2005, 2006, 2007 Warming makes hurricanes stronger Power ~ velocity3 Damage ~ velocity4 http://www.livescience.com/environment/ap_050731_hurricanes_stronger.html http://wind.mit.edu/~emanuel/home.html More droughts and floods, as the water cycle accelerates in a warming world Workshop: Planning Powerful Actions Powerful actions: • Have clear outcomes • Maximize benefits, minimize work • Serve several different values & functions with one efficient action • Can be celebrated at the end Bring ideas for powerful actions next week: individually, locally, regionally, on larger scales? Wolfson Research Problems