Climate Data

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  • How regionalised climate data is produced
  • How to understand and interpret regionalised climate data
  • How to identify and communicate uncertainties
  • Understand the difference between climate and weather
  • Climate Variability Refers to variations in the mean state of climate on all temporal and spatial scales beyond that of individual weather events.
  • Data on the region can be extracted directly from Global Circulation Models (GCMs) or from climate downscaling
  • Connect global scale predictions and regional dynamics to generate regionally specific forecasts (climate-decisions.org).
  • Sample climate predictions
  • Scenarios to explore and rehearse future possibilities
  • Interpreting climate data: time frames and climate scenarios
  • Climate modelling is inherently uncertain, but this does not mean that forecasts do not have value.
  • One way to make decisions despite this uncertainty is to consider the range of possible climate outcomes instead of relying on single forecasts. Because each GCM incorporates slightly different assumptions about how the climate works, each generates different results. Decision makers can make more resilient decisions by incorporating a range of these results in their considerations.’ climate-decisions.org

 

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