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Fire weather has been worsened by human-driven climate change in Western North America for 50 years, new study finds. Recent paper suggests that human-driven climate change contributed 81-188% to the observed increase in fire weather in that region.
We still do not have official information on what caused the blackout, but we can say that blaming solar or wind is likely overly simplistic and misleading.
A paper used unusual accounting methods by looking only at gross emissions and omitting CO2 sinks through reforestation; climate scientists explain that this method is misleading. It is like evaluating the status of your bank account based only on your income without looking at your expenses.
Adding more solar and wind can increase the price that homes pay for electricity. But energy type is only one piece of the puzzle, and simply because a grid has more solar or wind does not mean it is more expensive.
Individual vehicle emissions have improved through tighter regulations and better technologies, but vehicle pollution is an ongoing issue that harms human health and worsens climate change.
If you want to see the front lines of climate change, you might think to look at the Maldives. Most…
Global warming may mean something different than you think. One misconception is that global warming means ‘all places on Earth are warming equally’, but this is not the case. In reality, global warming means that average global temperatures are rising over decades or more. Earth’s uneven heating means that some places warm faster or slower than the average global temperature rise over a given period.
More than one-fifth of the world’s energy is drawn from natural gas. That part varies around the world: as low…
Why do cold snaps happen if the Earth is warming? Cold snaps are part of Earth’s natural climate variability. However, global warming is causing winters to get warmer, and making cold snaps less frequent or less intense over most land areas globally since 1950.
As the capabilities and adoption of artificial intelligence (AI) continue to grow, so are its energy impacts. Training and ongoing use of AI models requires significant energy due to their use of data centers – one of the most energy-intensive building types.