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TODAY Questions from Wednesday’s lecture CLIMATE MODELS EMISSION SCENARIOS
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THE CO/VOC + NOx O 3 -FORMATION THEORY VOCs (Volatile Organic Compounds): Sources: – biogenic (natural: e.g., trees) –anthropogenic (human activities: e.g., combustion »stationary (power plants) »mobile (automobiles) CO (carbon monoxide): Sources: – primarily anthropogenic combustion »stationary (power plants) »mobile (automobiles)
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The CO/VOC + NOx O 3 -Formation Theory, cont’d: NOx (NO + NO 2 ): Sources: –natural: lightning, biomass burning, soil microbial processes »INSIGNIFICANT with respect to pollution-levels of ozone –anthropogenic (human activities: e.g., combustion »stationary (power plants) »mobile (automobiles) Primary pollutants are emitted at the earth’s surface (e.g., VOCs and NOx) Secondary pollutants are formed in the atmosphere from photochemistry involving primary pollutants (e.g., O 3 )
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The CO/VOC + NOx O 3 -Formation Theory, cont’d: O 3 + h O 2 + O( 1 D) O( 1 D) + M O( 3 P) + M O( 3 P) + O 2 + M O 3 + M M = N 2 or O 2 O 3 + NO NO 2 + O 2 NO 2 + h NO + O( 3 P) BUT!! When CO and VOCs are oxidized, HO 2 and RO 2 (highly reactive “radicals”) are formed and can ALSO react with NO : HO 2 + NO NO 2 + OH RO 2 + NO NO 2 + OR NO 2 + h NO + O( 3 P) O( 3 P) + O 2 + M O 3 + M So, ozone is formed when carbon monoxide and reactive hydrocarbons (VOCs) are oxidized in the presence of NO.
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Glacier –A mass of land ice flowing downhill (by internal deformation and sliding at the base) and constrained by the surrounding topography. A glacier is maintained by accumulation of snow at high altitudes, balanced by melting at low altitudes or discharge into the sea. Ice sheet –A mass of land ice which is sufficiently deep to cover most of the underlying bedrock topography, so that its shape is mainly determined by its internal dynamics (the flow of the ice as it deforms internally and slides at its base). –There are only two large ice sheets in the modern world, on Greenland and Antarctica. Ice shelf –A floating ice sheet of considerable thickness attached to a coast (usually of great horizontal extent with a level or gently undulating surface); often a seaward extension of ice sheets.
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Climate System / Component Response Time the time needed to re-equilibrate to a new state, following a forcing resulting from external / internal processes or feedbacks very different for various components of the climate system –the atmospheretroposphere - days to weeks stratosphere - typically a few months –oceans: typically decades, but up to centuries or millennia due to their large heat capacity –the strongly coupled surface-troposphere system: slow, mainly determined by the oceans –the biosphere: may respond fast, e.g. to droughts, but also very slowly to imposed changes
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CLIMATE MODELS
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Hi all All Climate Change Impacts on the United States, NAST, 2000.
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Climate Models: How are they built and how are they applied? major components of the climate system must be represented in sub- models (atmosphere, ocean, land surface, cryosphere and biosphere), along with the processes that go on within and between them general circulation models (GCMs) –e.g. Atmosphere GCMs and Ocean GCMs –equations that describe the large-scale evolution of momentum, heat and moisture are solved in both cases –Model resolution: Atmosphere GCM: ~ 250 km in the horizontal and ~ km in the vertical above the boundary layer ocean GCM: ~ 125 - 250 km in the horizontal and ~ 200 to 400 m in the vertical many physical processes (e.g., related to clouds or ocean convection) take place on much smaller spatial scales than the model grid and therefore cannot be modeled and resolved explicitly »their average effects are approximately included in a simple way by taking advantage of physically based relationships with the larger-scale variables. This technique is known as parameterization.
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Climate Models, continued Quantitative projections of future climate change require –models that simulate all the important processes governing the future evolution of the climate atmosphere, land, ocean and sea ice developed separately and then gradually integrated –considerable computing power to run comprehensive AOGCMs Simpler models (e.g., coarser resolution and simplified dynamics and physical processes) are widely used –to explore different scenarios of emissions of greenhouse gases –to assess the effects of assumptions or approximations in model parameters Together, simple, intermediate, and comprehensive models form a “hierarchy of climate models”, all of which are necessary to explore choices made in parameterizations and assess the robustness of climate changes. Climate Change 2001: The Scientific Basis; IPCC 2001
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Different components are first developed separately and later coupled into comprehensive climate models. Climate Change 2001: The Scientific Basis; IPCC 2001
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Uncertainties Types of uncertainty: uncertainty in quantities uncertainty about model structure uncertainties that arise from disagreements among experts about the value of quantities or the functional form of the model Primary Sources of uncertainty: Data uncertainties arise from the quality or appropriateness of the data used as inputs to models. Modeling uncertainties arise from an incomplete understanding of the modeled phenomena, or from approximations that are used in formal representation of the processes. Completeness uncertainties refer to all omissions due to lack of knowledge. They are, in principle, non-quantifiable and irreducible. IPCC Special Report on Emission Scenarios
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Assessment of the credibility of GCM projections of climate change indicates that the processes and feedbacks requiring sustained research include: cloud-radiation-water vapor interactions ocean circulation and overturning aerosol forcing decadal to centennial variability land-surface processes short-term variability affecting the frequency and intensity of extreme and high impact events (e.g., monsoons, hurricanes, storm systems) interactions between chemistry and climate change and improved representations of atmospheric chemical interactions within climate models Global Environmental Change:Research Pathways for the Next Decade; NRC 1999
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e.g., current level of understanding
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EMISSION SCENARIOS
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Primary Driving Forces of GHG Emissions Demographic Change Social and Economic Development Rate and Direction of Technological Change IPCC Special Report on Emissions Scenarios
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What are scenarios? Why use them? neither predictions nor forecasts alternative images of how the future might unfold an appropriate tool with which to analyze how driving forces may influence future emission outcomes and to assess the associated uncertainties IPCC Special Report on Emission Scenarios
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Scenario Nomenclature Storyline: coherent narrative that describes a demographic, social, economic, technological, environmental, and policy future All interpretations and quantifications of one storyline together are called a scenario family. Each scenario family includes a storyline and a number of alternative interpretations and quantifications of each storyline to explore variations of global and regional developments and their implications for GHG and sulfur emissions. Storylines were formulated in a process that identified driving forces, key uncertainties, possible scenario families, and their logic. IPCC Special Report on Emissions Scenarios
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Sources of Scenario Uncertainties Choice of storylines Authors’ interpretation of storylines Translation of the understanding of linkages between driving forces into quantitative inputs for scenario analysis Methodological differences Different sources of data Inherent uncertainties
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The cascade of uncertainties in projections to be considered in developing climate and related scenarios for climate change impact, adaptation, and mitigation assessment. Climate Change 2001: The Scientific Basis; IPCC 2001
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A1 Storyline and Scenario Family A world with: very rapid economic growth low population growth rapid introduction of new and more efficient technologies Major Underlying Themes: convergence among regions capacity building increased cultural and social interactions substantial reduction in regional differences in per capita income Alternative directions of technological change A1FI - high coal and high oil and gas A1B - balanced (even distribution among options) A1T - predominantly non-fossil fuel IPCC Special Report on Emissions Scenarios
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A2 Storyline and Scenario Family A highly heterogeneous world with: high population growth (due to slow convergence of fertility patterns across regions) regionally-oriented economic development per capita economic growth more fragmented/slower technological change more fragmented/slower Major underlying themes: self reliance preservation of local identities IPCC Special Report on Emissions Scenarios
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B1 Storyline and Scenario Family A convergent world with: rapid changes in economic structures toward a service and information economy low population growth (same as A1) reductions in material intensity introduction of clean and resource-efficient technologies Major Underlying Themes: global solutions to economic, social, and environmental sustainability (without additional climate initiatives improved equity IPCC Special Report on Emissions Scenarios
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B2 Storyline and Scenario Family A world with: intermediate levels of economic development moderate population growth reductions in material intensity less rapid and more diverse technological change Major Underlying Themes: local solutions to economic, social, and environmental sustainability (without additional climate initiatives social equity (with local/regional focus) environmental protection (with local/regional focus) IPCC Special Report on Emissions Scenarios
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Qualitative directions of SRES scenarios for different indicators. Climate Change 2001 Mitigation Technical Summary
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The SRES scenarios and their implications for atmospheric composition, climate, and sea level
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Working Group I Summary for Policy Makers; IPCC 2001
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NEXT CLIMATE CHANGE (3/25) IMPACTS / MITIGATION CASE STUDIES (3/27) CHINA / USA
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