. "4 Resources for Effective Climate Decisions." Informing an Effective Response to Climate Change. Washington, DC: The National Academies Press, 2010.
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Informing an Effective Response to Climate Change
TABLE 4.1 Tools Commonly Used to Aid Effective Decisions and Actions Related to Climate Change
Tool
Main Uses in Decision Making
Basic toolbox
Graphs, maps, spreadsheets, images, GIS—used in local analysis of climate change and to communicate trends, patterns, impacts and alternatives
Earth systems models (e.g., general circulation models, carbon cycle models, climate forecast models)
Predict climate (e.g., seasonal forecasts, past climate) Estimate how emissions (and alternative emission paths) will affect global and regional climate
Understand how changes in climate or other factors (e.g., land use) might affect global carbon and biogeochemical cycles
Explore and communicate key uncertainties
Assess the global climate implications of some geoengineering options
Analyze the impacts of changes in climate on the environment and human activity
Explore the interactions of climate with other changes (e.g., in water demand, land use, agricultural technology, vulnerability) to understand range of impacts
Examine the potential for adaptation to reduce impacts
Estimate and analyze the costs and benefits of various policies and assumptions to limit emissions, develop cost-effective energy policies
Understand the results of individual economic decisions about use of energy, land, and other resources
Some decision tools are also highly technical, which requires training and also stakeholder engagement in the development of the tools to ensure the output is useful for decision makers. For example, the International Research Institute (IRI) runs training programs and online tutorials for users to understand climate forecast maps. A number of private sector companies and consultancies offer workshops in how to calculate GHG emissions or involve stakeholders in decisions.
Not only do decision makers have difficulty in interpreting and applying climate prediction in practice, there is often a mismatch between needs of decision makers at