- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Global Weather Data?
Global weather data involves collecting and analyzing meteorological information from sources worldwide. It encompasses data on temperature, precipitation, wind patterns, atmospheric pressure, and other weather-related variables. Gathered through weather stations, satellites, buoys, and other instruments, this data aids meteorologists, researchers, and organizations in studying climate patterns, forecasting weather conditions, and understanding atmospheric processes. Here, you’ll find the best sources for global weather datasets.
Best Global Weather Databases & Datasets
Here is our curated selection of top Global Weather 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 | Historical Weather Forecasts | Historical Weather Data | Forecasts Archived Back To 2012 | 85,000 Global Weather Data Locations
Global Weather Data | Weather Data API | Historical Weather Data | Real-Time Weather Data | Free Data Sample Available
Global Weather Data - Historical | Real-Time | Forecast | Climatology
Global Weather Data | Real-time & Historical | US and EU Sensor Coverage
OikoLab Weather API - Global Weather Data, Delivered Hourly
Weather Source: OnPoint Historical Weather Data | 2000 - Present | Global Coverage, Hourly/ Daily Format
1.3M+ Weather Images | Climate AI Training Data | Machine Learning data | Object & Scene Detection | Global Coverage
Storm Glass Global Weather API - Marine & Terrestrial Weather - High Resolution (10 Day Forecasts & Historical)
Global Weather Mapping - Marcus Weather Mapping (MWM)
Meteomatics Weather API: Global & Hyperlocal Weather Data (Forecasts updated 280 times daily)
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Top Global Weather 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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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 -
Ambios Network
CoverageUSAUK+18Ambios Network delivers hyper-local, real-time outdoor air quality data from a rapidly growing sensor network across the US and Europe. Backed by leading investors, our calibrated, high-resolution data powers smarter decisions for cities, researchers, and innovators.3,000+Sensors100%1st Party20Countries -
Meteomatics
CoverageUSAUK+247Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. A single API endpoint to access weather and earth data covering the globe, from weather forecasts, observations. Plus Web Feature Services and Web Map Services -
Marcus Weather
CoverageUSAUK+248Global Weather and Satellite data streams for the offset of weather based risk in the global commodities industry -
OikoLab Weather
CoverageUSAUK+247Analysis-ready weather and climate data at your fingertip with Oikolab APIExtensive80+ years of hourly dataComplete60+ weather parametersReliableFully traceable data
Popular Use Cases for Global Weather Data
Global Weather 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 Global Weather Data.
Main Attributes of Global Weather 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 |
|---|---|---|---|
| String | The latitude and longitude of a position. | View 9 datasets | |
| Float | Wind speed in km/h, mph or m/s | View 8 datasets | |
| String | The name of a country. | View 6 datasets | |
| String | The postal code of an address. | View 6 datasets | |
| String | The identifier (ID) of a location. | View 2 datasets | |
| String | The name of a language as per ISO 639. | View 1 datasets |
What are Examples of Global Weather Data?
Examples of Global Weather Data include temperature, precipitation, wind speed, humidity, and atmospheric pressure measurements from weather stations around the world:
- Temperature Measurements: Gathered from weather stations and satellites.
- Precipitation Data: Includes measurements of rain, snow, sleet, and hail.
- Wind Speed: Captured by anemometers at numerous global locations.
- Humidity Levels: Recorded by hygrometers worldwide.
- Atmospheric Pressure: Monitored by barometers on land and sea.
For instance, a climate scientist might analyze temperature and precipitation data across continents to identify long-term trends and patterns. This type of analysis is crucial for understanding global climate dynamics and developing strategies to address climate change.
Global Weather Data Attributes
Global weather data comes with several key attributes:
- Temperature: Current Temperature, Maximum Temperature, Minimum Temperature, Feels Like Temperature.
- Humidity: Relative Humidity, Dew Point.
- Wind: Wind Speed, Wind Direction, Gust Speed.
- Precipitation: Rainfall Amount, Snowfall Amount, Precipitation Probability.
- Pressure: Atmospheric Pressure.
- Visibility: Visibility Distance.
- Cloud Cover: Cloud Cover Percentage.
- Weather Conditions: Weather Description (e.g., clear, cloudy, rainy), Weather Icon.
- Sunrise and Sunset Times: Sunrise Time, Sunset Time.
- UV Index: UV Index Value.
- Air Quality: AQI (Air Quality Index), Concentrations of specific pollutants (e.g., PM2.5, PM10, Ozone).
- Geographical Information: Latitude, Longitude, Elevation.
- Time Information: Observation Time, Time Zone.
How is Global Weather Data Collected?
Global weather data collection involves multiple methods and instruments:
- Weather Stations: Ground-based stations equipped with sensors for various meteorological parameters.
- Satellites: Provide extensive data on atmospheric conditions and surface temperatures.
- Buoys: Floating devices that measure oceanic and atmospheric variables.
- Radar Systems: Detect precipitation intensity and distribution over wide areas.
- Radiosondes: Weather balloons collecting data on temperature, humidity, and pressure at different altitudes.
These diverse methods allow comprehensive monitoring of the Earth’s atmosphere, supporting the creation of detailed weather data records.
How to Access Global Weather Data?
Global temperature data can be accessed through several reliable sources:
- NOAA: Offers extensive datasets on global surface temperatures.
- NASA: Provides satellite-based temperature measurements.
- Global Weather Data Providers: Companies listed on Datarade offer high-quality and extensive global weather databases for purchase.
What are the Uses of Global Weather Data?
Global weather data is essential for numerous applications:
Climate Research
Scientists use global weather data to study climate patterns and changes over time. By analyzing historical weather data, they identify trends such as global warming or increased precipitation in specific areas. This information is crucial for developing models that predict future climate scenarios and planning mitigation strategies.
Weather Forecasting
Meteorologists rely on global weather data to create accurate weather forecasts. By integrating data from various sources, they predict weather conditions days, weeks, or even months in advance. This information is essential for severe weather data alerts, helping communities prepare for extreme events.
Agricultural Planning
Farmers and agricultural planners use global weather data to optimize planting and harvesting schedules. Knowing the expected rainfall, temperature, and other conditions helps make informed decisions, reducing the risk of crop failure and improving yields.
Disaster Management
Global weather data is vital for disaster management. Predicting hurricanes, floods, droughts, and other natural disasters allows for timely evacuation and resource allocation, potentially saving lives and reducing economic losses.
Atmospheric Studies
Researchers study global weather data to understand atmospheric processes, such as storm formation, jet stream behavior, and human impact on the atmosphere. These studies contribute to our overall understanding of weather and climate systems.
Frequently Asked Questions
How Accurate is the Global Weather Data?
Weather data accuracy varies based on collection methods and prediction models. Some providers report near-perfect accuracy due to advanced models and quality checks, ensuring reliable historical and real-time data.
How Frequently is Global Weather Data Updated?
The update frequency of weather data differs among providers. Some update every second, minute, or hour, while others do so daily, weekly, or monthly. Real-time feeds provide the most frequent updates, giving users current information.
What Measures Maintain Global Weather Data Quality?
Providers maintain data quality through rigorous validation, cross-referencing with other sources, using advanced algorithms for corrections, and continuous monitoring for anomalies. These steps ensure high accuracy and reliability.
In What Formats Can Global Weather Data Be Delivered?
Weather data is available in multiple formats, such as .json, .xml, .csv, .xls, .txt, and .bin. This flexibility allows easy integration into existing systems and applications. Weather data delivery methods include S3 Buckets, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. These methods ensure users can access and use the data efficiently.
How Much Does Global Weather Data Cost?
Weather data costs vary based on type, coverage, update frequency, and delivery method. Pricing models include one-off purchases, monthly licenses, yearly licenses, or custom pricing. Free samples are often available for evaluation.
What Similar Data Types Complement Global Weather Data?
Global weather data complements several other data types that provide comprehensive weather and environmental insights:
