Some climate questions will require high resolution climate information like what downscaled data provide. For example, people modeling climate impacts will require climate data to use as input to their impacts models (i.e., hydrological models), and downscaled data may fit all of their technical requirements. The scientific accuracy of the information will depend on the assumptions and limitations that constrain the downscaled data. These constraints should be described with respect to their influence on how climate is represented at the local scale. Applications using downscaled data should not be highly sensitive to the reliability of the climate information because there are so many uncertainties. Downscaled climate data should be used to explore the range of possible climate changes and impacts rather than be used to formulate a climate prediction.