What is Real-Time Weather Data? The best Real-Time Weather Datasets
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Real-Time Weather Data?
Real-time weather data defines the attributes of weather data happening in real-time and projects how this weather is likely to change over time. When coupled with comprehensive weather data, current weather data is considered by analysts as more accurate, hence the best type of weather data. Real-time weather data is updated by weather data providers in a frequency of minutes and is delivered through XML or in a map format.
Best Real-Time Weather Databases & Datasets
Here is our curated selection of top Real-Time 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.
Global Weather Data | Weather Data API | Historical Weather Data | Real-Time Weather Data | Free Data Sample Available
24/7 Real-Time European Weather Data | Storm Warning Data | Severe Weather Warning data | Custom Weather Forecast Data |
Weather Source: Dynamic Weather Alerting Service (DWAS) | Real-Time Alerting | Global Coverage
CustomWeather API | Real-Time Weather Data | Current Conditions For 12,500 Global Weather Stations | Temperature Data I Rainfall Data I Wind Data I
FarmersEdge | Real-Time Weather Data | Station data for 1,000 locations in North America | Risk Management
LIVE Daily Weather Feed | Worldwide Human Checked REAL Weather Observations | File updated daily
Dappier | Global Web Search Data | RAG API, LLM Compatible | Real-Time Updates | Unlimited Data
Customised Weather Data Validation
Global Weather Data | Historical, Current & Forecast Weather and Climate Data | Weather Forecast API | Real-Time Weather Data
Weather Source: OnPoint Weather Forecast Ensembles - Potential Variances of Each Forecast
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Top Real-Time Weather Data Providers & Companies
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Weather Source
CoverageUSAUnited Kingdom+247Weather Source’s mission is to make hyper-local weather and climate data accessible around the globe and across industries.Globally UniformStatistically ConsistentAnalytics-Grade Data -
Wetter.com
CoverageUSAUnited Kingdom+248We offer data-driven insights and solutions which open perspectives to optimize your business and leverage undiscovered business potential. For...dataforecastsquality assured data -
Meteomatics
CoverageUSAUnited Kingdom+247Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. A single API... -
CustomWeather
CoverageUSAUnited Kingdom+247VStrong 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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AWIS Weather Services
CoverageUSAUnited Kingdom+247Worldwide Weather & Climate data. Quality controlled by humans every hour. Available in standard or custom formats geared towards data analytics,...Real ground truth ObservationsYears of DataWeather Forecast Locations -
APISCRAPY
CoverageUSAUnited Kingdom+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
Popular Use Cases for Real-Time Weather Data
Real-Time 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 Real-Time Weather Data.
Main Attributes of Real-Time 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 |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 18 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 8 datasets | |
| String | Placekey is a free, universal standard identifier for any physical place, so that the data pertaining to those places can be shared across organizations easily. | View 7 datasets | |
| String | The name of a country. | View 4 datasets | |
| String | The name of a state. | View 4 datasets | |
| Float | Wind speed in km/h, mph or m/s | View 3 datasets |
What are Examples of Real-Time Weather Data?
Real-time weather data spans several formats and uses. Here are a few examples of this type of weather data:
- Live weather updates: Information from weather stations on temperature, humidity, and wind speed.
- Weather radar images: Data on precipitation and storm intensity.
- Satellite imagery: Real-time visuals of cloud cover and weather systems.
What are the Attributes of Real-Time Weather Data?
Real-time weather data includes critical weather attributes such as:
- Temperature: Current temperature readings.
- Humidity: Moisture levels in the air.
- Wind speed and direction: Data on wind patterns.
- Precipitation: Rain, snow, sleet, or hail information.
- Pressure: Atmospheric pressure readings.
- Dew point: The temperature at which air becomes saturated with moisture.
- UV index: Measurement of the strength of sunburn-producing ultraviolet radiation.
- Comfort level: A measure of how weather conditions affect human comfort.
How is Real-Time Weather Data Collected?
Real-time weather data is gathered using various advanced technologies:
- Weather stations: Sensors measure temperature, humidity, wind speed, and atmospheric pressure.
- Weather radars: Radio waves detect precipitation, forecasting intensity and movement.
- Satellites: Capture large-scale weather patterns and cloud cover.
- Buoys and ships: Collect oceanic and coastal data, essential for maritime forecasts.
What are the Uses of Real-Time Weather Data?
Real-time weather data supports meteorologists, researchers, and industries like agriculture, transportation, and emergency management. It’s essential across multiple sectors:
- Agriculture: Assists in scheduling irrigation and planning harvests.
- Transportation: Enhances safety and efficiency for air, sea, and road transport.
- Emergency management: Supports disaster preparedness and response.
- Energy: Forecasts demand and manages renewable resources like wind and solar.
- Public safety: Facilitates timely warnings and advisories.
Frequently Asked Questions
How Frequently is Real-Time Weather Data Updated?
Real-time weather data is updated at varying intervals depending on the data source. Some weather stations update hourly, while others may update every three hours. Additionally, non-station locations can receive updates every 10 minutes through estimations from satellite and forecast grid points.
What Formats are Available for Real-Time Weather Data Delivery?
Real-time weather data can be delivered in multiple formats, including .xml, .json, .csv, .txt, and .bin. This data can be accessed via multiple methods such as REST APIs, SFTP, email, and direct download from cloud storage services like Amazon S3. The delivery method chosen depends on user requirements and infrastructure.
What Geographic Areas Does Real-Time Weather Data Cover?
Real-time weather data covers a wide range of geographic areas. Some datasets provide coverage for up to 249 countries, ensuring global availability of current weather conditions.
How Accurate is Real-Time Weather Data?
The accuracy of real-time weather data can be as high as 99%, depending on the provider and the quality control measures in place. Data is often sourced directly from weather stations and cleaned to remove erroneous information.
What is the Historical Coverage of Real-Time Weather Data?
While real-time weather data focuses on current conditions, some products also offer historical coverage. For instance, certain datasets provide up to 40 years of historical weather data, allowing for comprehensive climate analysis.
What is the Cost of Real-Time Weather Data?
The cost of real-time weather data varies based on factors such as data coverage, update frequency, and delivery format. Pricing models can include one-off purchases, monthly licenses, yearly licenses, and usage-based pricing. Custom quotes are often available upon request.
What Similar Data Types Complement Real-Time Weather Data?
Real-time weather data complements several other data types that provide comprehensive environmental insights:
