What is Weather Forecast Data? Definition, Sources & Datasets to buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Weather Forecast Data?
Weather forecast data is collection of information and predictions about atmospheric conditions for a specific location and time period. It includes details such as temperature, humidity, wind speed, precipitation, and atmospheric pressure. This data is generated by meteorological models and observations from weather stations, satellites, and other sources.
Best Weather Forecast Databases & Datasets
Here is our curated selection of top Weather Forecast 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.
Geographic Data | Weather Forecast Data for Europe | Location-Based Weather Data
Weather Source: ECMWF Extended Weather Forecast Data | Up to 46 Days | Global Coverage
CustomWeather | 6-Month Agricultural Data Outlooks | Temperature Data | Rainfall Data|Precipitation Data | Global Weather Data | Weather Forecast Data
Accurate Weather Forecast API - Meteosource
Meteomaticsm Historic and future weather forecast data - up to two years ahead (locally and regionally)
meteoblue weather API - Highest precision weather forecast and history data
OikoLab Weather: Global Weather Forecast (GFS Model, Delivered Hourly)
Global Weather Data | Weather Data API | Historical Weather Data | Real-Time Weather Data | Free Data Sample Available
Global Weather Data | Historical, Current & Forecast Weather and Climate Data | Weather Forecast API | Real-Time Weather Data
Weather Source: OnPoint GFS Weather Forecast Data | Up to 384 hours or 15 Days | Global Coverage, Hourly / Daily Format
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Top Weather Forecast Data Providers & Companies
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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 -
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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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 -
APISCRAPY
CoverageUSAUK+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.
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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. -
Marcus Weather
CoverageUSAUK+248Global Weather and Satellite data streams for the offset of weather based risk in the global commodities industry
Popular Use Cases for Weather Forecast Data
Weather Forecast 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 Weather Forecast Data.
Main Attributes of Weather Forecast 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 10 datasets | |
| Float | Wind speed in km/h, mph or m/s | View 10 datasets | |
| String | The name of a country. | View 9 datasets | |
| String | The postal code of an address. | View 8 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 4 datasets | |
| String | The identifier (ID) of a location. | View 3 datasets |
What are Examples of Weather Forecast Data?
Weather forecast data, a type of weather data, includes various information used to predict future atmospheric conditions. Examples of weather forecast data include:
- Temperature data: Predictions on daily high and low temperatures.
- Humidity levels: Forecasts on moisture content in the air.
- Wind data: Information on future wind conditions.
- Rainfall data: Expected rainfall, snow, or sleet.
- Atmospheric pressure: Data on pressure changes indicating weather shifts.
What are the Attributes of Weather Forecast Data?
Weather forecast data encompasses several critical attributes.
Temperature:
- Current Temperature: The temperature at the present moment.
- High/Low Temperatures: Predicted maximum and minimum temperatures for the day.
- Feels Like Temperature: An adjusted temperature value accounting for wind chill or heat index.
Wind:
- Wind Speed: The speed at which the wind is blowing, usually measured in kilometers per hour (km/h) or miles per hour (mph).
- Wind Direction: The direction from which the wind is blowing, often represented in degrees or compass directions (e.g., N, NE, SW).
- Gusts: Short bursts of high-speed wind.
Precipitation:
- Precipitation Amount: The volume of rainfall or snowfall expected, typically measured in millimeters (mm) or inches.
- Precipitation Probability: The likelihood of precipitation occurring, given as a percentage.
Atmospheric Pressure:
- Pressure Values: Typically measured in hectopascals (hPa) or millibars (mb), indicating changes in weather patterns.
- Pressure Trends: Indications of whether the pressure is rising, falling, or steady, which can help predict upcoming weather changes.
Humidity:
- Relative Humidity: The percentage of moisture in the air relative to the maximum amount the air can hold at that temperature.
- Dew Point: The temperature at which air becomes saturated with moisture and dew forms.
Visibility:
- Visibility Distance: How far one can see, typically measured in kilometers (km) or miles (mi).
Cloud Cover:
- Cloud Cover Percentage: The fraction of the sky covered by clouds, given as a percentage.
Sunrise and Sunset Times:
- Sunrise Time: The time at which the sun rises.
- Sunset Time: The time at which the sun sets.
UV Index:
- UV Index Value: A measure of the strength of ultraviolet radiation from the sun.
Weather Conditions:
- Descriptions: Qualitative descriptions such as clear, cloudy, rainy, snowy, etc.
How is Weather Forecast Data Collected?
Weather forecast data is collected using various methods and technologies, including:
- Weather stations: Ground-based instruments measuring local atmospheric conditions.
- Satellites: Provide large-scale data on cloud cover, temperature, and moisture.
- Radars: Detect precipitation and storm activity.
- Weather balloons: Collect upper-atmosphere data on temperature, humidity, and pressure.
- Computer models: Combine data from various sources to predict future weather patterns.
What are the Uses of Weather Forecast Data?
Weather forecast data serves numerous purposes across different sectors:
- Agriculture: Helps farmers plan planting, irrigation, and harvesting.
- Transportation: Assists in route planning and ensuring safety.
- Emergency preparedness: Supports disaster response and planning.
- Energy sector: Forecasts demand and manages renewable resources.
- Public safety: Issues warnings and advisories to the public.
Frequently Asked Questions
How Often are Weather Forecast Data Products Updated?
Weather forecast data products can be updated at various frequencies, ranging from minutely to daily. For instance, some products offer updates every hour, ensuring near real-time data availability for users.
What Formats are Weather Forecast Data Delivered In?
Weather forecast data can be delivered in multiple formats including .json, .xml, .csv, and .xls.
Weather forecast data can be accessed through various delivery methods such as S3 Bucket, SFTP, Email, UI Export, and REST API.
What Geographic Areas Do Weather Forecast Data Cover?
Weather forecast data products provide global coverage, including data for up to 249 countries. Major regions such as North America, Europe, Asia, Africa, Oceania, and South America are covered. Some datasets include over 85,000 forecast locations, providing detailed and localized weather information.
How Reliable is the Data Quality of Weather Forecast Products?
Weather forecast data products typically ensure high data quality, often reported as 100% accuracy. This high level of accuracy is achieved through robust models and quality checks, sometimes performed by humans for additional reliability.
How are Weather Forecast Data Products Priced?
Pricing for weather forecast data products varies based on factors such as coverage area, frequency of updates, and specific data requirements. Pricing models can include one-off purchases, monthly or yearly licenses, and usage-based pricing.
What Similar Data Types Complement Weather Forecast Data?
Weather forecast data complements several other data types that provide comprehensive environmental insights:
