Climate 411

The author of today’s post, Sheryl Canter, is an Online Writer and Editorial Manager at Environmental Defense.

When we think about climate change and the burning of fossil fuels, the discussion often centers around alternative sources of energy. But another key element is energy efficiency – simply using less power. A recent report published titled "The Twin Pillars of Sustainable Energy" says the two should be considered together.

When public policy takes both energy efficiency and renewable energy into account, there can be significant synergies. The report is over 50 pages long with many detailed case studies, but you can find a good summary of the findings on the World Business Council for Sustainable Development Web site.

The author of today’s post, Lisa Moore, Ph.D., is a scientist in the Climate and Air program.

This past week there’s been a lot of buzz about a small correction that NASA made to U.S. temperature data. Some have said, incorrectly, that the new data show that 1934 edges out 1998 as the warmest year on record, rather than 1998 as previously thought. Actually, 1934 edged out 1998 in the old U.S. record, too, although the difference was not statistically significant. My favorite quote on all this is from Tim Lambert, who said in his coverage of the issue that "1998 and 1934 went from being in a virtual tie, to being in a virtual tie".

Climate change deniers have been all over the NASA correction, saying it proves that global warming isn’t happening. Of course, that’s ridiculous. For one thing, U.S. temperature isn’t global temperature. Globally, the warmest year on record is 2005, and the second warmest is 1998. But what should we make of those high U.S. temperatures in the 1930s?

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The author of today"s post, Lisa Moore, Ph.D., is a scientist in the Climate and Air Program.

Climate models are usually run far into the future, projecting temperature changes to the end of the century. Over the long term, the effects of greenhouse gases overwhelm all other factors. But climate can have substantial "short-term internal variability" – for example, temperature shifts due to El Niño and La Niña. Climate models have never been able to predict this internal variability – until now.

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