Research about the projected impacts of climate change provides a predictive understanding of the processes involved and their consequences. Many models used to predict impacts of climate change are based on obsolete primary tropical data sets. These data often keep being recycled in climate change studies, creating self-evident truths by continued quoting. Some studies acknowledge that such data sets are admittedly inadequate, but researchers continue to use them because they are unable to find better ones. Many models also express results in spatial scales that are of little use to national scientists and decision makers. The following three examples illustrate how some of these limitations can be overcome.

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