Monitoring & Predicting Climate Change (Cambridge (CIE) AS Environmental Management)

Revision Note

Alistair Marjot

Written by: Alistair Marjot

Reviewed by: Bridgette Barrett

Monitoring & Predicting Climate Change

  • The ability to monitor and predict climate change is important in order for us to understand the complex dynamics of Earth's climate system and anticipate future changes:

    • Scientists use various observational techniques, data sources and computational models to monitor past climate trends and forecast future climate scenarios

Difficulties in Monitoring and Predicting Climate Change

  • Limited historical data:

    • Reconstruction of past climate conditions relies on sparse historical records, which can sometimes lack detail, such as ice cores, sediment layers and tree rings:

      • For example, ice core analysis from Antarctica provides insights into atmospheric composition and temperature variations over millennia

    • However, these records may not always capture detailed regional climate variability or extreme events

  • Complex climate models:

    • Future climate projections rely on sophisticated computer models that simulate interactions between the atmosphere, oceans, land surfaces and ice

    • However, these models always have uncertainties as they attempt to replicate highly complex Earth system processes:

      • For example, climate models struggle to accurately simulate the behaviour of clouds, which play a crucial role in regulating Earth's energy balance and global temperatures

  • Uncertainty in feedback mechanisms:

    • Climate feedback mechanisms, such as the albedo effect and carbon cycle feedbacks, introduce complexities and uncertainties into climate predictions:

      • For example, melting Arctic sea ice reduces the Earth's albedo, leading to increased absorption of solar radiation and further warming

    • These feedback loops are challenging to model accurately and may lead to unpredictable climate responses

  • Time delays:

    • There is a lag between the emission of greenhouse gases and their impacts on the climate system:

      • For example, carbon dioxide emissions from fossil fuel combustion can persist in the atmosphere for centuries, contributing to long-term climate change

      • However, we are only just now starting to feel the full effects of centuries of carbon dioxide emission from fossil fuel combustion (i.e. since the start of the industrial revolution)

    • Predicting the timing and magnitude of future climate impacts requires careful accounting for these time delays

  • Data uncertainty and interpretation:

    • Climate research relies on diverse datasets from various sources, including satellite observations, ground-based measurements and paleoclimate proxies

    • Discrepancies in data quality, measurement techniques and interpretation methods can lead to uncertainties in climate predictions:

      • For example, disagreement over temperature reconstructions from tree ring data has caused debates about historical climate variability

Modelling Future Climate Change

  • It is possible to use existing data relating to global warming to make predictions about global temperatures in the future:

    • Using data in this way is known as extrapolating from data

    • Extrapolated data can be used to produce models that show how the climate may change in the future

  • Global warming predictions can be used to:

    • Plan for the future, for example:

      • Building flood defences

      • Funding scientific research into climate change technologies

    • Encourage people to change their activities, for example:

      • Reduce the burning of fossil fuels

      • Increase the use of renewable energy sources such as solar and wind energy

      • Reduce meat consumption

  • The Intergovernmental Panel on Climate Change, or IPCC, is a group of climate scientists around the world that has used existing data to extrapolate how global temperatures might change in the future under different human activity scenarios, for example:

    • If humans manage to immediately begin reducing fossil fuel use, global temperature change could be limited to around 1 - 1.5 °C

    • If humans do nothing to change their fossil fuel use, global temperature increase may exceed 4°C

  • The IPCC data can be added to other computer models on climate change to see how different parts of the world might be affected under the different scenarios

Diagram showing future predictions of temperature change
Future predictions of temperature change can be modelled on a range of scenarios
  • There are limitations to models based on extrapolated data:

    • The IPCC has produced models based on several emissions scenarios, and we do not know which of these scenarios is most likely:

      • I.e. we don't know how successful humans will be at cutting greenhouse gas emissions

    • We do not know whether future technologies will be successful at removing greenhouse gases from the atmosphere e.g. carbon capture technologies may or may not be effective 

    • It is unknown exactly how atmospheric gas concentrations might affect global temperatures

    • Global climate patterns are complex and therefore predictions are difficult:

      • It is possible that a certain tipping point in global temperatures could lead to a sudden acceleration in global warming e.g. permafrost melting may cause a sudden increase in atmospheric methane

    • We don't know exactly how factors other than human activities may affect climate in the future e.g. a volcanic eruption could increase ash in the atmosphere, reflecting radiation back into space and cooling the earth

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Alistair Marjot

Author: Alistair Marjot

Expertise: Biology & Environmental Systems and Societies

Alistair graduated from Oxford University with a degree in Biological Sciences. He has taught GCSE/IGCSE Biology, as well as Biology and Environmental Systems & Societies for the International Baccalaureate Diploma Programme. While teaching in Oxford, Alistair completed his MA Education as Head of Department for Environmental Systems & Societies. Alistair has continued to pursue his interests in ecology and environmental science, recently gaining an MSc in Wildlife Biology & Conservation with Edinburgh Napier University.

Bridgette Barrett

Author: Bridgette Barrett

Expertise: Geography Lead

After graduating with a degree in Geography, Bridgette completed a PGCE over 25 years ago. She later gained an MA Learning, Technology and Education from the University of Nottingham focussing on online learning. At a time when the study of geography has never been more important, Bridgette is passionate about creating content which supports students in achieving their potential in geography and builds their confidence.