- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Precipitation Data?
Precipitation data refers to information about the amount and type of precipitation that occurs in a specific location over a particular period. It can be collected through various means, including weather stations, radar systems, and satellites, and is used for a wide range of purposes.
Examples of Precipitation Data include rainfall, snowfall, and hail measurements. Precipitation Data is used for various purposes such as weather forecasting, climate studies, hydrological modeling, and agricultural planning. In this page, you’ll find the best data sources for Precipitation Data.
Best Precipitation Databases & Datasets
Here is our curated selection of top Precipitation 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: Precipitation Data with Global Coverage
CustomWeather | 6-Month Agricultural Data Outlooks | Temperature Data | Rainfall Data|Precipitation Data | Global Weather Data | Weather Forecast Data
Historical Weather Data | All Major European Cities | 20 Years History in Hourly Deliveries | Climate Data | Precipitation Data | Wind Data
Historical Weather Data | 20 Years History | European Coverage | Hourly or Daily | Climate Data | Precipitation Data | Wind Data
Meteomatics Global precipitation forecasts - forecast for any location, across all timescales
CustomWeather Weather API: Temperature Data with Global Coverage
CustomWeather Weather API: Land Surface Data with Global Coverage
CustomWeather API: Real-Time Weather Data - Current Conditions for 8000 global locations
CustomWeather API | Real-Time Weather Data | Current Conditions For 12,500 Global Weather Stations | Temperature Data I Rainfall Data I Wind Data I
CustomWeather API | Historical Weather Data | Climate Data | Hourly And Daily | 8,500 Global Weather Stations | Archived Back To The 1940s
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Top Precipitation Data Providers & Companies
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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 -
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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FarmersEdge
CoverageUSACanada+88We collect data from four primary sources: weather stations, satellite imagery, soil testing and machine telematics.3200Weather stations28000Machines3BData points -
Meteosource Weather API
CoverageUSAUK+247At an affordable price, you will receive accurate and reliable data that you can easily implement into your website or application. We also help you optimise weather-dependent activities. -
WeatherLogistics
CoverageUSAUK+247Re-Climate™ supplies reliable seasonal climate forecasts to prepare for extended weather hazards up to 3 months in advanceReliableAdapt to near-term climateTrustedNPL validated rainfall dataScalablePowered by Google Cloud -
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
Popular Use Cases for Precipitation Data
Precipitation 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 Precipitation Data.
Main Attributes of Precipitation 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 | Wind speed in km/h, mph or m/s | View 10 datasets | |
| String | The latitude and longitude of a position. | View 4 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 2 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 2 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 2 datasets | |
| String | The name of a country. | View 1 datasets |
Frequently Asked Questions
What is Precipitation Data?
Precipitation data refers to information about the amount and type of precipitation that occurs in a specific location over a particular period. It can be collected through various means, including weather stations, radar systems, and satellites, and is used for a wide range of purposes.
How is Precipitation Data collected?
Precipitation data can be collected through different methods, including rain gauges, radar systems, satellites, and weather stations. Each method has its advantages and disadvantages, and the choice of the method depends on the required accuracy and resolution.
What is Precipitation Data used for?
Precipitation data is used for various purposes, including agriculture, water resource management, transportation, insurance, research, energy, and outdoor recreation. It helps individuals and organizations make informed decisions and plan for adverse weather conditions.
What’s a quality checklist for Precipitation Data?
A quality checklist for precipitation data should include factors such as accuracy, resolution, timeliness, completeness, and consistency. The data should be collected using standardized methods, and the collection process should be well documented to ensure reproducibility.
How is Precipitation Data priced?
The price of precipitation data varies depending on the source, accuracy, and resolution of the data. National weather services and open data sources typically offer free access to their data, while private weather companies charge a fee for their services. Weather API services offer pricing models based on the number of requests and the desired features.
