Climate Models
n Complex computer models of EarthÕs climate that are used to simulate climate changes due to increased greenhouse gas concentrations
n The models attempt to include all important feedback processes
n Not all feedbacks are well understood (e.g., modeling cloud effects, changes in clouds)
n Some feedbacks may not be included
n The models are not perfect and do not make exact predictions. Best we can hope for is that they give us realistic long-term averages and some idea of the variability about the average, i.e., frequency of extreme events
n Several test cases give us confidence that they have predictive skill
n Simulations that closely reproduce recent climate (20th century)
n Simulations that reproduce features of historical climate changes (e.g., Ice Ages)
n Simulations that reproduce short-term climate fluctuations
n Volcanic eruptions
n El Nino events
n However, keep in mind that predictions of future change are much more difficult than simulating current or past climate where the answers are known
n Baseline test – doubled CO2 (Simulated by all climate models)
n (2-4.5)û C range in the predicted warming of global average surface temperature from various models (relatively high confidence from scientific community)
n Regional changes (for smaller areas) in temperature/precipitation show less agreement among models, as this more difficult to predict than global average (lower confidence from scientific community). Uncertainty gets larger as the spatial scale becomes smaller.
n Most recent projections (also depends on future greenhouse gas emissions)
n Global average surface temperature will increase anywhere from 2.0 - 11.5¡ F between 1990 and 2100. Considers a range of different models and different emissions.
n Details of predictions for regional changes need to be improved.
n The models continue to evolve and improve due to increases in computing power, improved understanding of climate system, and improved observations of climate.
n Because the climate system is so complex, there is the possibility that all models will turn out to be wrong. Perhaps the changes will be less severe than predicted; or perhaps we will be surprised and climate changes will occur suddenly and be quite severe.
n Study of how climate change will affect humans and natural ecosystems
n Ultimate questions that must be answered
n Regional changes most important for ecosystem health
n Global concerns for human well-being, sea level rise, fresh water and food resources
n Difficult problem with uncertain answers
n Regional climate changes relatively uncertain (from GCMs)
n Even if climate changes could be predicted exactly, it is still difficult to answer the question: How sensitive and adaptable are systems to the changes?