HomeNEWSPredictWind Unveils New Climate Data Feature

PredictWind Unveils New Climate Data Feature

PredictWind

Plan Your Next Adventure with Confidence Using Historical Weather Patterns.

PredictWind, the global leader in marine weather forecasting, is proud to announce the launch of its innovative Climate Data feature. This new tool empowers sailors, mariners, and adventurers to make informed decisions about the best times to travel by offering month-by-month insights into average wind, wave, and weather conditions for any location worldwide.

Gain Insight from 10 Years of Historical ECMWF Weather Data

The Climate Data feature provides users with rolling averages of weather conditions from the last 10 years, using observed historical weather data from ECMWF. Jon Bilger, PredictWind Director commented, “This dataset is unique, we have used phenomenal amounts of computing power to collate and average the data for the entire world in 30 km resolution”. This means users can confidently choose the optimal time of year for their next adventure by exploring:

  • Wind (Windrose)
  • Wave (Waverose)
  • Air temperature
  • Rainfall
  • Wave height
  • Sea surface temperature
  • Cloud coverage
  • Highest gusts
  • Thunderstorm probability
  • Visualize Weather Patterns Throughout the Year

The Climate Data tool allows users to understand seasonal variability by displaying how wind, wave, and other weather patterns change across the four seasons. Users can easily identify the best months for calmer or more consistent conditions, making it simpler to plan ahead for smoother sailing or to avoid potential extreme weather conditions.

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Plan Ahead With Confidence

Whether planning a voyage, leisurely sail or destination holiday, PredictWind Climate Data offers valuable insights into regions prone to extreme weather conditions like storms or high winds during certain months. This essential information allows mariners to steer clear of dangerous areas and choose safer routes.

Accurate and Reliable Data in the Face of Climate Change

Recognizing the impact of climate change, PredictWind has eliminated possible inaccuracies by using only the most recent 10 years of data. Many traditional pilot charts rely on outdated weather information, but Climate Data ensures accuracy by reflecting the current climate reality.

Local Knowledge now has over 154,000 Points of Interest

In addition to the powerful Climate Data feature, PredictWind’s Local Knowledge, an insightful tool that provides detailed information on over 31,650 global points of interest, including:

  • 8,499 moorings and anchorages
  • 11,326 marinas and harbours
  • 3,233 boat ramps
  • 1,552 navigational tips
  • Plus many more locations, amenities, and activities

With Local Knowledge, users gain crucial on-the-ground information, ensuring they are fully prepared for their next adventure.

Prepare for Your Next Journey

Whether you’re an experienced mariner or planning your first trip, PredictWind’s Climate Data and Local Knowledge features give you the power to plan your voyage with confidence. Access detailed, reliable information to navigate the seas safely and make the most of your time on the water.

Vacation Planning – What’s the best time for your planned activity?

You are planning a kite foiling trip to Tahiti and want to know the best time to go for optimal wind conditions. Climate Data will show when the prevailing wind is best. Cross-referencing wind patterns with peak tourist seasons allows you to identify quieter months with great conditions. For example, you might find that the best winds for kite foiling occur just outside the traditional tourist season, allowing you to enjoy fewer crowds while still getting excellent weather.

About PredictWind:
PredictWind is the leading provider of accurate marine weather forecasts. Trusted by sailors, boaters, fishermen, and adventurers around the world, PredictWind offers a suite of advanced tools and features to help users make informed decisions based on reliable, real-time weather data.

For more information, visit www.predictwind.com

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