In the dynamic world of Wuthering Waves, events are more than just gameplay mechanics – they’re opportunities for players to test their skills, explore intricate game landscapes, and unlock exclusive rewards. The Ragunna Weather Forecast event emerges as a thrilling challenge that demands strategy, speed, and precision. From April 10 to 24, 2025, players will embark on a unique journey through Waveworn Phenomena, collecting Surveillance Datasets and pushing their abilities to the limit.
Wuthering Waves Event Essentials: What You Need to Know
Key Participation Requirements
- Union Level: Minimum Level 14
- Prologue Completion: “Through the Sea Thou Break” (Chapter II)
- Event Duration: April 10-24, 2025
Starting the Challenge
- Locate KU-Ryan, the Black Shores robot
- Find him in the Sea of Flames area
- Interact to access event challenges
Challenge Mechanics: Mastering the Ragunna Weather Forecast
Surveillance Dataset Collection Strategy
| Technique | Point Boost | Strategy |
|---|---|---|
| Illusive Sprint | High | Rapid traversal |
| Flight Modules | Moderate | Quick navigation |
| Wind Ring Passage | Bonus Points | Additional scoring |
Scoring and Time Management
- Limited time to complete routes
- Points awarded for dataset collection
- Bonus points for efficient navigation
Exclusive Rewards Breakdown
Event Rewards
- 400x Astrite
- Advanced Enclosure Tank
- Forgery Advanced Supply
- Advanced Sealed Tube
- Advanced Resonance Potion
Reward Collection
- Claimable from event screen
- Unclaimed rewards automatically sent to inbox within 30 days
Pro Tips for Maximum Performance
- Plan your route carefully
- Utilize all available movement modules
- Prioritize Wind Ring passages
- Manage time efficiently
- Explore every possible dataset location
Conclusion
The Ragunna Weather Forecast event represents more than just a gameplay challenge – it’s an opportunity to showcase your skills, explore Wuthering Waves’ intricate world, and earn exclusive rewards. Strategic players who master movement techniques and efficiently collect Surveillance Datasets will emerge victorious.
