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.

Impact Studies

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?