At 7:21 a.m. on Thursday, the National Weather Service issued an updated weather notice for Northern Clinton, Northern Center, Southern Clinton, and Southern Center that called for snow showers through 8:15 a.m.

“At 7:19 a.m., scattered snow showers were along a line extending from near Lock Haven to State College and moving east at 50 MPH,” the weather service reported.

The following locations are affected by the alert: Lamar, Stormstown, Lemont, Zion, Houserville, Carroll, Woodward, Boalsburg, Keating, Pleasant Gap, State College, Lock Haven, Bellefonte, Park Forest Village, Mill Hall, Pine Grove Mills, Avis, Dunnstown, Flemington, and Centre Hall. Areas between the Kylertown and Mile Run exits are included for drivers traveling on Interstate 80, especially from mile markers 139 to 193. This also applies to Interstate 99, from mile markers 59 to 85.

The weather service states that “in winter weather conditions, conditions can deteriorate rapidly.” Be ready for roads covered with ice or snow. Reduce your speed and give yourself more time to get there. If you have to drive through or into deep snow, go with additional caution. Accidents may result from abrupt changes in visibility and perhaps slick roads.

Rainy day rules: How to stay safe in heavy precipitation

Safety comes first when there is a lot of rain. To avoid dangers and navigate wet roads, arm yourself with these weather service guidelines:

Watch out for flooding rivers:

Keep your distances from other vehicles safe:

Reduce your speed and exercise caution:

Pick your lane carefully:

Visibility is important.

Be cautious on slick roads:

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Stay a safe distance away from big cars:

Be mindful of your wipers:

Taking these safety measures will significantly improve your road safety while it’s raining a lot. For a safe trip, keep yourself updated on weather conditions and follow local authorities’ instructions.

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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