Best Lightning Datasets & Databases

What is lightning data and how can it be utilized? Discover the best datasets and databases for lightning strike historical data, historical lightning data, and more on Datarade.ai. Find the most reliable sources to purchase lightning data and gain valuable insights for your research or analysis needs.Learn more
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Lightning Strikes in the United States

Since January 1, 2022, AWIS Weather Services has archived all lightning strikes that have happened in ... Since January 2022, we have added Lightning Strikes in the US to our database, and continue to add real-time
Available for 1 countries
6 variables
1 years of historical data
100% accurate
Starts at
$30 / purchase
Free sample preview

What is Lightning Data?

Lightning data is a type of weather data that provides information about the occurrence, frequency, and intensity of lightning strikes in a given area.

How is Lightning Data collected?

Lightning data is collected through a network of sensors that detect lightning strikes and transmit the information to a central server for processing and analysis. These sensors use methods such as radio frequency detection, GPS detection, and optical detection to detect lightning strikes.

What is Lightning Data used for?

Lightning data has a wide range of applications in different industries, such as aviation, construction, outdoor events, agriculture, energy, and insurance. It provides valuable insights into lightning activity and helps businesses and individuals make informed decisions and take proactive measures to protect their assets.

What’s a quality checklist for Lightning Data?

A quality checklist for lightning data includes factors such as data accuracy, completeness, consistency, timeliness, and reliability. It should also consider the data provider’s track record, data sources, and data processing methods.

How is Lightning Data priced?

The pricing of lightning data varies depending on factors such as data quality, frequency of updates, geographic coverage, and additional value-added services. Some data providers offer pricing models based on the volume of data used, while others offer subscription-based pricing.