Climate science
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NOAA is presenting a series of webinars on hurricanes for 4th through 6th graders in the next few weeks. They are split up by state and will be available later in April. The webinars discuss how hurricane forecasts are made and what hurricane hazards are like. You can read more information and find links to…
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If you love severe weather, then you have heard of James Spann. He is a broadcast meteorologist in Birmingham AL and is internationally known for his live severe weather broadcasts as well as his amazing number of school visits. It should be no surprise that he is now doing a weather school from his home…
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A new study published in 2019 shows that tropical cyclones and hurricanes are strengthening more rapidly in recent years than in previous decades, according to NOAA’s National Centers for Environmental Information. A second article shows that the poorer island nations are bearing the brunt of these rapidly developing storms, leading to devastating consequences. Both studies…
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The El Nino-Southern Oscillation, or ENSO, is the single most important predictor of seasonal climate in the Southeast, so we tend to watch it fairly closely to see if it can give us clues to future conditions. But researchers have found that a shift in ENSO patterns has reduced our ability to make useful predictions.…
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Here’s a good article that explains what last frost probabilities are and how they relate to planting dates, from the Garden Professors blog. It also explains the difference between a frost and a freeze. If you find this topic confusing, you might find the explanations to be useful. You can view it here.
Posted in: Climate science -
I posted the link to this summary a few days ago but think it is worth posting here in full. Even though it was written for North Carolina, the general information (not the exact numbers, but reasonably close) is correct for everywhere in the Southeast. If you would like to adapt this for another state,…
Posted in: Climate science -
Before the advent of modern weather forecasting using computer models, meteorologists often used analogs to find similar weather in previous years and use that to predict how the weather would change. A modern take on that is to use machine learning with big data to identify patterns in weather that could help predict severe weather…