Update: Cold weather advisory affecting Lane County Lowlands until Monday morning

At 12:05 p.m. on Sunday, the National Weather Service issued an updated cold weather advisory for the Lane County Lowlands that will be in effect from 10 p.m. to 10 a.m. on Monday.

According to the weather service, “Apparent (feels-like) temperatures of 20 to 25 degrees.”

“Unprotected skin exposed to these temperatures will suffer from frostbite and hypothermia. According to the weather service, prolonged exposure to such low temperatures can result in hypothermia. “To avoid frostbite and/or hypothermia, anyone who intend to go outside should exercise common sense and dress warmly, covering any exposed skin. Pets should be kept indoors whenever feasible. Ensure that outside animals have access to food, unfrozen water, and a warm, dry place to live.

Understanding cold weather alerts

Warning of cold weather: Exercise caution. When seasonably cold air temperatures or wind chill values—but not exceptionally severe ones—are anticipated or happening, a cold weather advisory is issued. When you and your loved ones go outside, make sure you cover any exposed skin and wear suitable clothing.

Warning: Extreme cold: Act now! When dangerously low air temperatures or wind chill values are predicted or already occurring, an extreme cold warning is issued. Avoid venturing outside if there is an extreme cold warning in effect. Make sure at least one other person is aware of your whereabouts, wear layers if you must go outside, and cover any exposed skin. When you reach your destination safely, update them.

Be ready for extreme cold watch. When extremely low air temperatures or wind chill values are possible, an extreme cold watch is issued. As with a warning, change your plans so that you don’t spend the coldest hours of the day outside. Update your winter survival gear and make sure your car has at least half a tank of gas left.

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United Robots offers a service called Advance Local Weather Alerts that gathers the most recent information from the National Weather Service using machine learning.

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