On Monday, at 4:05 a.m., the National Weather Service issued a wind advisory for the Northern Centre and Southern Centre, as well as Clearfield, Cambria, Blair, Huntingdon, Somerset, Bedford, and Fulton counties, that would be in effect Tuesday from 10 a.m. to 8 p.m.
“West winds of 15 to 25 mph with gusts up to 50 mph are expected,” the weather service said. “Gusty west to northwest winds of similar strength may continue Tuesday night through much of the daylight hours Wednesday and the Wind Advisory may need to be extended through that time period with later updates.”
“Unsecured objects will be buffeted by gusty gusts. The weather agency says that there may be a few power disruptions and the possibility of tree branches being blown down. “Be extremely careful when driving, particularly if you’re in a prominent car. Protect outdoor items.
Recognising high wind warnings
Being informed is crucial when it comes to high wind advisories. Three degrees of high wind advisories are distinguished by the weather service, each of which denotes a varying amount of danger:
Warning of high wind: Act now!
There are persistently high winds with considerably higher gusts. Look for cover. When driving, slow down and keep both hands on the wheel.
Wind warning: Act now!
Although there are strong winds, they are not powerful enough to trigger a high wind warning. When driving, exercise caution and make sure all outdoor objects are secured.
Watch for high winds: Be ready!
Strong, persistent winds are probable. To avoid being trapped outside, secure any unsecured outdoor goods and make any required adjustments to your plans.
How to get ready before severe winds arrive
- Tree branches should be trimmed away from electrical wires and your home.
- Secure shutters and loose gutters.
- Choose a location inside your home, like a basement or an inside bathroom, where you may seek cover when strong winds are predicted.
- Choose a stable structure to evacuate to in the event of a severe thunderstorm or high wind warning from the NWS if you reside in a mobile home.
- All necessary devices, including cell phones, booster packs, weather radios, and power tools like a reciprocating saw that you may need to remove debris, should have their batteries charged.
- Make sure you have enough food and water for three days for everyone in your house when you update your emergency pack.
- Make a note of anything outside your house that needs to be secured or stored to prevent it from blowing away or flying through a window. Secure these objects as soon as the NWS issues a high wind watch to prevent damage or injury as the wind starts to pick up.
How to behave when there are heavy winds
Find a place to stay:
- When a severe thunderstorm or strong wind warning is issued, you should immediately move to a basement or interior room inside a sturdy building.
- If you live in a mobile home, relocate to a more permanent structure before the storm system hits your area or the winds get stronger.
If seen driving or outside:
- If there isn’t a strong building nearby, take cover in your vehicle. Drive to a solid building nearby if you can. If not, relocate your vehicle to an area where falling trees or electricity lines are less likely to strike it.
- Steer clear of trees, power lines, and the side of the road if there isn’t any shelter available. Remember that any electricity lines on the ground could be live. Stay away from them! Look for a location that will keep falling or blowing debris at bay.
- Holding the steering wheel with both hands, slow down if you’re not close to a solid building.
- Stay away from prominent automobiles like buses, trucks, and trailer-towing vehicles. One of these trailers might be flipped onto its side by a single, powerful gust of wind.
How to proceed once heavy winds have subsided
- Avoid approaching downed power lines. Inform the police about any downed power lines.
- When working with debris that might have blown into your yard, exercise caution.
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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