Rip current statement issued for Mobile and Baldwin counties from Friday to Monday
On Thursday at 3:37 a.m. a rip current statement was released by the National Weather Service valid from Friday 7 a.m. until Monday 6 a.m. for Mobile and Baldwin counties.
The weather service comments, “Dangerous rip currents expected.”
“Rip currents can sweep even the best swimmers away from shore into deeper water,” describes the weather service. “If caught in a rip current, relax and float. Don’t swim against the current. If able, swim in a direction following the shoreline. If unable to escape, face the shore and call or wave for help.”
Navigating rip currents: Your survival manual
Rip currents, swift channels of water flowing away from the shore at surf beaches, can turn a day at the beach into a dangerous situation. Understanding how to respond when caught in one is crucial. The weather service offers these life-saving tips:
Keep your cool – they won’t drag you under:
Don’t panic – rip currents won’t pull you underwater.
Don’t swim against the current:
Trying to swim directly toward the beach when caught in a rip current is futile and exhausting. The current is too strong. Instead, swim parallel to the shore and away from the rip current’s grip.
Signal for help if necessary:
If you feel you can’t reach shore, relax, face the shore, and call or wave for help.
Seek lifeguarded beaches:
Whenever feasible, choose beaches with lifeguards on duty. Their trained eyes and rapid response can be a lifesaver in water emergencies.
Never brave the waves alone on unguarded shores:
If you choose to swim at beaches without lifeguards, make it a rule never to swim solo. Always bring a friend, and ensure that person has a cell phone to call 911 in case of an emergency.
Rip currents are formidable natural forces, but knowing how to react can significantly increase your chances of safely navigating these challenging waters. Stay informed, stay vigilant, and prioritize safety when enjoying the surf.
Advance Local Weather Alerts is a service provided by United Robots, which uses machine learning to compile the latest data from the National Weather Service.