On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Storm Data?
Storm Data is a comprehensive database maintained by the National Weather Service (NWS) that provides detailed information about severe weather events in the United States. It includes data on various types of storms such as tornadoes, hurricanes, floods, and thunderstorms. Storm Data contains records of storm occurrence, location, intensity, damage, and fatalities, allowing researchers, meteorologists, and emergency management officials to analyze and study severe weather patterns and their impacts.
Examples of Storm Data include information on hurricanes, tornadoes, thunderstorms, and other severe weather events. Storm Data is used for analyzing and studying weather patterns, assessing the impact of storms, and improving forecasting models.
Best Storm Databases & Datasets
Here is our curated selection of top Storm Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
CustomWeather Weather API: Storm Data Forecast and Historical Lookback with Global Coverage
Real-Time Custom Weather Alerts | Natural Disaster Data | Hail Warning Data | Heavy Rain Data | Storm Data 24/7
CustomWeather API | Severe Weather Data | Global Severe Weather Advisories For 85,000 Weather Forecast Locations | Storm Data
eCommerce Company Data | 320K Stores | API & Bi-Weekly Updates | Technographic Insights
Ecommerce Data | Store Location Data | Global Coverage | 61M+ Contacts | (Verified E-mail, Direct Dails)| Decision Makers Contacts| 20+ Attributes
Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles with Key Insights | Best Price Guarantee
Storm Glass Global Weather API - Marine & Terrestrial Weather - High Resolution (10 Day Forecasts & Historical)
Global Convenience, Restaurant, Retail, & Grocery Store Data | 70M+ Points of Interest (POI)
Buy eCommerce Leads | eCommerce Store Owner Database 2025 | 3M+ Contacts | Contact Direct Email and Mobile Number
CPG Data | Retail Store Location Data | 52M+ POI | SafeGraph Places
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Top Storm Data Providers & Companies
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CustomWeather
CoverageUSAUK+247EStrong data coverage and quality. Ended up licensing hourly and daily weather data in the United States. Strong historical coverage. Team was easy to work with and moved quickly to deliver the data in the format we needed.
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PredictHQ
CoverageUSAUK+247PredictHQ is the world’s first and only source of dynamic, reliable and contextual event data to enable businesses to make informed decisions that increase revenue and reduce costs.19Event categories1000sMachine Learning Algorithms+450Data Sources -
Wetter.com
CoverageUSAUK+248We offer data-driven insights and solutions which open perspectives to optimize your business and leverage undiscovered business potential. For this we use the latest methods from data science and predictive analytics. We are powered by wetter.com, the leading weather portal in the DACH region.up-to-datedatahourlyforecastsexpertsquality assured data -
Weather Source
CoverageUSAUK+247Weather Source’s mission is to make hyper-local weather and climate data accessible around the globe and across industries.GridGlobally UniformSchemaStatistically ConsistentQualityAnalytics-Grade Data -
Storm Glass
CoverageUSAUK+247Global Weather API providing high-resolution weather forecasts and historical data for Maritime, Green Energy and Agricultural applications. -
AWIS Weather Services
CoverageUSAUK+247Worldwide Weather & Climate data. Quality controlled by humans every hour. Available in standard or custom formats geared towards data analytics, retail research, project management, energy load planning, insurance industry, & any all businesses affected by mother nature. Tell us what you need.30k+Real ground truth Observations100+Years of DataWorldwideWeather Forecast Locations
Popular Use Cases for Storm Data
Storm Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Storm Data.
Main Attributes of Storm Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 37 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 27 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 25 datasets | |
| String | The latitude and longitude of a position. | View 22 datasets | |
| String | The name of a country. | View 21 datasets | |
| String | The name of a location. | View 21 datasets |
Frequently Asked Questions
How is Storm Data collected?
Storm Data is collected through a variety of methods, including radar, satellites, weather stations, and citizen science initiatives. The data is then analyzed and used to create weather forecasts and predictions.
What is Storm Data used for?
Storm Data has numerous practical applications in various industries, including agriculture, transportation, energy, construction, emergency management, and tourism. It is used to monitor weather patterns, predict potential risks, and optimize operations.
What’s a quality checklist for Storm Data?
A quality checklist for Storm Data should include factors such as data accuracy, reliability, availability, interpretability, coverage, cost, and privacy. Addressing these factors can help ensure that the data is of high quality and suitable for the intended purpose.
How is Storm Data priced?
The price of Storm Data varies depending on the data provider, the level of detail required, and the frequency of updates. Commercial providers typically offer subscription plans and pricing tiers based on the volume of data and the level of access required. Some providers also offer free trials and sample data sets to help customers test the data before making a purchase.
