Global Weather Data: Best Global Weather Datasets & Databases
What is Global Weather Data?
Global weather data provides information and analytics on what the weather is like across the world over a period of time, either real-time or historical, and specifically how this relates to the global climate. Datarade helps you find the best global weather datasets and APIs. Learn more
Recommended Global Weather Data Products
CustomWeather - Global Severe Weather Data/ Advisories
CustomWeather API: Real-Time Weather Data - Current Conditions for 4,300 global locations
Worldwide Daily Historical Weather Data | Climate Data | Human Checked Weather Data starting in the mid 1900s
Weather Source: OnPoint Weather Impact Indices
Ambee: Water Vapour Data API - Global Coverage
Customised Weather Data Validation
OikoLab Weather API - Global Weather Data, Delivered Hourly
Storm Glass Global Weather API - Marine & Terrestrial Weather - High Resolution (10 Day Forecasts & Historical)
40 years of historical weather - for any country, state or city.
Global Weather Mapping - Marcus Weather Mapping (MWM)
More Global Weather Data Products
The Ultimate Guide to Global Weather Data 2023
What is Global Weather Data?
Global weather data is a subcategory of weather data. It refers to data that records and analyses weather patterns across the globe. It is made up of numerical figures and facts concerning atmospheric conditions. Global weather data not only informs users about what the weather is like in the global community, but also how global weather affects specific locations. It’s essential in issues like risk management and weather forecasting to avoid mishaps and make accurate predictions.
How is Global Weather Data collected?
A wide array of tools and devices as well as methods and techniques can be used in the collection of global weather data. These devices and tools are used in an equal variety of methods and techniques. Daily global weather data is collected and reflected on a weather data collection chart. This is then used to assess patterns in atmospheric conditions. Global weather data is now easily collected more accurately due to technological advancements with the aids of tools like radar systems, thermometers, wind vanes , barometers, anemometers, hygrometers and weather satellites which measure conditions like temperature, rain cloud movements, atmospheric pressure, visibility, and humidity.
What are the attributes of Global Weather Data?
Anything with a relation to data concerning weather goes beyond simply deciding if the weather is windy, sunny or rainy. These conditions themselves are determined by a number of factors, contributing to global weather and climate. Therefore global weather data is collected from measurements and further analysis of the weather conditions around the globe. Therefore the attributes which must be present in global weather data include components such as temperature, wind, rain cloud movements, atmospheric pressure, wind speed, wind direction, atmospheric visibility, humidity. Other components such as natural objects like oceans, mountains and forests can also considered as attributes which affect global weather data.
What is Global Weather Data used for?
Weather and climate are activities that are data-driven, and are also considered highly important. Global weather data, just as any other type of weather-related data, is regarded as invaluable to our day to day lives. Global weather data determines a number of production and logistics decisions, such as food, clothings and events. It is also now important in businesses in the wake of globalisation. Global weather data is useful in industries like construction, agriculture, logistics, fast-food, aviation, utility, exploration and even the arts. Global weather data is used by multinational companies for more sophisticated operations and for business expansions.
How can a user assess the quality of Global Weather Data?
Data quality is highly dependent on the data source. The same goes for global weather data; the source of the data determines the level of its quality. With global weather data, different sources provide different data, so it is important that context comes into play. What use is this particular data set meant for? Global weather data is only good when it meets its intended use case, and so you must consider that in data quality assessment. Sampling data is always a good way to verify data quality, so be sure to request a sample and subject it to weather data analysis, drawing your own conclusions from the results.
Where can I buy Global Weather Data?
Data providers and vendors listed on Datarade sell Global Weather Data products and samples. Popular Global Weather Data products and datasets available on our platform are CustomWeather - Global Severe Weather Data/ Advisories by CustomWeather, CustomWeather API: Real-Time Weather Data - Current Conditions for 4,300 global locations by CustomWeather, and Worldwide Daily Historical Weather Data | Climate Data | Human Checked Weather Data starting in the mid 1900s by AWIS Weather Services.
How can I get Global Weather Data?
You can get Global Weather Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Global Weather Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Global Weather Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Global Weather Data?
Global Weather Data is similar to Historical Weather Data, Real-Time Weather Data, Local Weather Data, Severe Weather Data, and Lightning Data. These data categories are commonly used for Weather Forecasting and Climate Analytics.
What are the most common use cases for Global Weather Data?
The top use cases for Global Weather Data are Weather Forecasting, Climate Analytics, and Climate Change Analytics.