Page 56 - Earth's Climate Past and Future
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32      PART I • Framework of Climate Science


                                                                                  FIGURE 2-18 Data-model
          1. Specify input          2. Run model               3. Analyze climate-
          to climate model          simulation of ocean        data output        comparisons Models of Earth’s
                                    and atmosphere                                climate are constructed to
          Choose boundary           Internal operation         Model-simulated    simulate present circulation.
          conditions based on       of model based on          changes in         Then changes based on Earth’s
          known changes of          physical laws of           temperature,       history (different CO levels, ice
                                                                                                  2
          solar radiation,          radiation and              precipitation,     sheet sizes, or mountain
          CO , ice sheets,          circulation of fluids      winds, pressure
            2
          mountains, and            (ocean and                                    elevations) are inserted into the
          continent positions       atmosphere)                                   model, and simulations of past
                                                                                  climates are run. The climate
                                                                                  output is compared with
                                                                                  independent geologic data to
                                                              Compare:            test the performance of the
                                                                                  model.

                                  Data from Earth’s            Climate interpreted
                                  climate history              from independent
                                  (sediments, ice cores,       geologic data
                                  corals, tree rings, etc.)



        science of reconstructing past climates moves ahead  type of 2-D model includes an atmosphere with many
        best when the strengths and limitations of both the data  vertical layers and a second dimension that represents
        and the models are constantly tested against each other.  Earth’s physical properties averaged by latitude. A sec-
        This review starts with models of atmospheric circula-  ond dimension (even a simplified, average one) makes
        tion, then looks at ocean models, and finally briefly  it possible to use these models to simulate processes
        reviews physical models that simulate changes in ice and  that vary from pole to equator because snow and ice
        vegetation.                                         occur mainly at higher latitudes. Because 2-D models
           Atmospheric Models Models of Earth’s atmosphere  can simulate long intervals of time quickly and inexpen-
        vary widely in complexity. Simpler models are less expen-  sively, they are used to explore longer-term interactions
        sive to run and can simulate the evolution of climate over  among the ocean surface, sea ice, and land. They are
        long intervals of time (thousands of years), but they lack  also used in combination with models of slowly chang-
        or oversimplify important parts of the climate system.  ing ice sheets (Chapter 9).
        Complex models incorporate a more complete physical    Three-dimensional atmospheric general circula-
        representation of the climate system, but they do so   tion models (A-GCMs) provide still more complete
        at the cost of being slower, more expensive, and able   numerical representations and simulations of the cli-
        to simulate only brief snapshots of climate over a few   mate system. These 3-D models have the capacity to
        years.                                              represent many key features: the spatial distribution of
           One-dimensional “column” models are the simplest  land, water, and ice; the elevation of mountains and ice
        kind of physical model of the atmosphere. They simulate  sheets; the amount and vertical distribution of green-
        a single vertical column of air that represents the average  house gases in the atmosphere; and seasonal variations
        structure of the atmosphere of the entire planet. This  in solar radiation.
        air column is divided into layers that are closely spaced  The boundary conditions for A-GCM experiments
        near Earth’s surface and are more widely spaced at higher  are specified for hundreds of model  grid boxes, like
        elevations. Each layer contains climatically important  those shown in Figure 2–19. The vertical boundaries of
        constituents, such as greenhouse gases and dust particles.  the grid boxes are laid out along lines of latitude and
        Earth’s surface is represented by a global average value  longitude at (and above) Earth’s surface, and the box size
        that has the globally averaged properties of the water, the  shrinks near the poles because lines of longitude con-
        land, and the ice. One-dimensional (1-D) models offer a  verge there. The horizontal boundaries of the grid boxes
        way of gaining an initial understanding of climatic effects  divide the atmosphere along lines of equal altitude above
        of changes in concentrations of greenhouse gases and of  sea level. Models generally have 10 to 20 vertical layers
        airborne particles called aerosols, such as volcanic ash  that are more closely spaced near Earth’s surface because
        and dust.                                           the interactions with the land, water, and ice surfaces in
           Two-dimensional (2-D) models are a step toward a  the lower atmosphere are more complex than the
        more complete portrayal of the climate system. One  smoother flow higher in the atmosphere.
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