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BIOLOGY · Stage 9 · Chapter 12: The Carbon Cycle and Climate Change

Biology 12.4 Predicting the future — Computer Climate Models

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12.4 Predicting the future — Computer Climate Models — Alhussan International Academy — Biology (Stages 7–9) notes: Describe predicted impacts of future climate change and how computer climate models are built, tested and evaluated.Svante Arrhenius — in the 1890s he calculated th…

  • IPCC (Intergovernmental Panel on Climate Change)
  • Prediction
  • Droughts and heat waves
  • Wetter regions
  • Temperature changes
  • Extreme weather

Section 1 of 6IPCC and the greenhouse effect

  • Svante Arrhenius
    • in the 1890s he calculated that doubling atmospheric carbon dioxide would make the Earth's surface 5 °C warmer, seriously affecting the climate.
    • His predictions are coming true in the 21st century.
  • IPCC (Intergovernmental Panel on Climate Change)
    • it studies evidence from thousands of scientists worldwide and advises governments.
    • It states that global warming is happening because of human activities such as burning fossil fuels and deforestation,
      • which raise carbon dioxide and other greenhouse gases.
  • Prediction
    • by the middle of the 21st century global temperatures will rise by another 1.3-1.8 °C.

Section 2 of 6Predicted impacts

  • Sea level
    • as oceans warm and land ice melts, some scientists predict a rise of between 26 and 82 cm by the end of the 21st century.
    • Low-lying countries such as Tuvalu, and areas of many other countries, will disappear beneath the sea.
  • Droughts and heat waves
    • as temperatures rise and rainfall patterns change, huge areas will become infertile and dry and arid land will expand.
    • Species will die out where there is no water, people will starve and fires will destroy whole ecosystems.
  • Wetter regions
    • many parts will get more rain and snow than ever before, often as extreme storms or blizzards.
    • This will cause floods that wash away fertile soil and cause loss of homes and lives.
  • Temperature changes
    • some countries will get hotter and others colder.
    • Warmer places will support pests such as mosquitoes, ticks and crop pests, affecting health and agriculture.
    • Plant life, animal migration patterns and local species will change, and many species will become extinct.
  • Extreme weather
    • hurricanes and storms will happen more often, and a single storm can badly damage power supplies, buildings, roads and railways.
  • Hope
    • only a third of the predicted temperature rise for the next half century will happen for certain,
    • so changing how we live may stop climate change before it cannot be undone.

Section 3 of 6What a climate model is

  • Climate model = a computer program that uses mathematical equations to represent the processes that control the climate.
  • Grid
    • the Earth is divided into a three-dimensional grid of boxes covering atmosphere, ocean, land and ice.
    • For each box the model calculates temperature, pressure, humidity, wind and other quantities,
      • and how energy and water move between neighbouring boxes through time.
  • Computing
    • there are billions of calculations, so very powerful supercomputers are needed.

Section 4 of 6Inputs and outputs

  • Inputs
    • energy from the Sun, greenhouse gas concentrations, aerosols from volcanoes and pollution, land use and ocean currents.
  • Scenarios
    • scientists run the model with different assumptions about future emissions, such as emissions that keep rising or fall sharply by 2050.
  • Outputs
    • predicted temperature, rainfall, sea level and ice cover for each region over coming decades.

Section 5 of 6Testing the model

  • Hindcasting
    • the model is started at a past date, such as 1900, to see whether it reproduces the known temperature record up to the present.
    • Models with both natural and human factors match observed warming well, while models with only natural factors do not.
  • Comparison
    • many independently built models giving similar predictions increases confidence.

Section 6 of 6Strengths and limitations

StrengthsLimitations
Can test what might happen without risk or costThe climate is very complex; some processes, such as clouds, are hard to represent
Can test different future scenariosThe future depends on human choices that are unknown
Improve as data and computers improveGrid boxes are large, so small-scale detail is missing
  • Uncertainty
    • predictions are given as a range, such as 1.5 to 4.5 °C of warming by 2100 depending on the scenario.
  • Uses
    • governments plan sea defences, farming and energy supply and set emission targets.
  • Weather forecasts
    • they use similar models but are reliable for only a few days, while climate models predict long-term averages.

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