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Weather Data

Weather data is information about atmospheric and meteorological conditions. Historical weather data is used for climate analytics. Real-time weather data and forecasts help farmers and logistics companies predict weather conditions for crop and transportation route planning.

Top Weather Data APIs, Datasets, and Databases

Find the top commercial Weather Data sets, feeds and streams.

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Barchart Weather Data

by Barchart
Get access to current conditions and forecasts based on zip code and integrate into your workflows to make better commodity trading decisions.
Use CaseAgriculture, Alternative Investment + 1 more
Pricing available upon request
Get Sample View Product

OnPoint Weather

by Weather Source
A curated continuum of historical, present, and forecast weather data.
Quality100% gap-free and error corrected
+ 246 others
History20 years of past data available
Use CaseAlpha Generation, Finance + 3 more
Starts at
$750$712.50 / purchase
5% Datarade discount
Free sample available
Get Sample View Product

Openweather Current weather data

by Open Weather Map
- Access current weather data for any location including over 200,000 cities - Current weather is frequently updated based on global models and data from more than 40,000 weather stations - Data ...
Volume200K Cities, 40K Weather stations
Pricing available upon request
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Meteomatics Weather API

by Meteomatics
The Weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. It allows the integration of high quality, hyperlocal weather forecasts into all...
Volume288 updates daily, 90 meters resolution
+ 246 others
History41 years of past data available
Use Casefuel efficiency estimates, Demand Forecasting + 3 more
Available Pricing:
Monthly license
Yearly license
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OnPoint Machine-Learning Ready Weather

by Weather Source
A suite of datasets engineered for direct use in AI- and machine learning-based applications.
Quality100% gap-free and error corrected
+ 246 others
History20 years of past data available
Use CaseBusiness Intelligence (BI), Weather Observation + 3 more
Pricing available upon request
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Openweather Weather maps

by Open Weather Map
API for managing your personal weather stations Creation of the station and measurements transfer Receiving the aggregated measurements from the station Available for Free and all other paid acc...
Pricing available upon request
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Top Weather Data Providers, Vendors, and Companies

Find the top Weather Data aggregators, suppliers, and firms.

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Based in Switzerland

Meteomatics 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 g...

Weather Source

Based in United States of America

Weather Source’s mission is to make hyper-local weather and climate data accessible around the globe and across industries.


Based in United States of America

We provide industry-leading weather solutions to a wide range of industries that value quality, customer service, and data accuracy. As a leader in technology, CustomWeather is well aware of the la...

Open Weather Map

Based in United Kingdom

Products and projects 1. Weather API collections a. Current and Forecast b. Historical c. Weather Maps d. Weather Triggers, UV Index, Air Pollution 2. The Satellite Imager...

Dark Sky

Based in United States of America

Dark Sky is a data provider offering Global Weather Data, Real-Time Weather Data, and Weather Data. They are headquartered in United States of America.

Weather Trends International

Based in United States of America

Weather Trends International is a data provider offering Weather Data, Historical Weather Data, and Real-Time Weather Data. They are headquartered in United States of America.


Based in United States of America

WeatherTAP is a data provider offering Aviation Data, Weather Data, and Real-Time Weather Data. They are headquartered in United States of America.

The Ultimate Guide to Weather Data 2020

Learn everything about Weather Data. Understand data sources, popular use cases, and data quality.

What is Weather Data?

Weather is the state of the atmosphere of a particular place over a specific period of time (usually one to a couple of days). Data which tracks patterns and trends on weather conditions is considered weather data. Weather data comprises of any facts and figures about the state of the atmosphere. Social and technological institutions are now considering and merging weather data (as the main external data) with internal data such as sales and operational data to optimize risk management. Weather conditions do not only affect planning but also have operational impacts on businesses. The business value of weather data can only be measured on a grand scale as economists have used weather forecasts to predict supply and demand patterns, improve marketing, streamline operations and even create economic models. Due to the invaluable nature of weather data, scientists and geographers are working continuously to improve the art of accurate weather forecasting. They make use of methodologies which involve data mining, processing and analysis so as to produce empirical evidence with accuracy.

What are the different types of Weather Data?

Weather data is a hugely broad data category with lots of sub-categories beneath it, including:

  • Real-time weather data - normally when you buy real-time weather data, it’ll be delivered via a real-time weather data API.
  • Historical weather data - if you’re wondering where to find historical weather data, take a look at Datarade’s selection of historical weather databases and historical weather APIs. This gives you access to live weather updates straight from a real-time weather data feed.
  • Local weather data - weather data can be categorised by location. Local weather data can tell you about the conditions in a specific county or region, or on an even smaller scale, such as zip code or field-level weather data.
  • Global weather data - a global weather database provides intelligence on weather and climate trends from across the world. A powerful global weather data feed provides information about weather and climate patterns across the whole planet, such as atmospheric global weather data.

Different types of weather data apply to different use cases. Let’s have a look at some examples of weather data use cases.

Who uses Weather Data and for which use cases?

With weather and climate being regarded as important data-driven activities, the use of weather data has become invaluable to almost every aspect of our daily lives. Not only does weather data determine what we could wear or eat, it has now become important to incorporate weather data in almost every business. Apart from trivial use cases in the fields of agriculture, aviation, construction and other open-field operations, common use cases in logistics, utility and fast food companies have shown how weather data has been incorporated into their risk management analysis to optimize safety and customer’s satisfaction. Logistics companies minimize risk by merging real-time weather data with Global Positioning System (GPS) data so as to determine suitable routes to traverse in times of unfavorable weather conditions. Just as utility companies merge real-time weather data with that of their assets across their service territory to determine which assets could be affected by unstable weather conditions, fast food companies also merge real-time data with location so as to determine demands on items such as soft drinks, ice cream and water (usually influenced by temperature. It is no news that Ice cream shops cash out more during the Summer.)

More sophisticated operations in fields such as medicine and justice have made significant use of weather data. Forensic meteorology has been effective in creating weather conditions relevant in legal proceedings on property disputes, accidents and theft. In cases of asthmatic patients, weather data on components such as humidity, temperature and presence of dust particles have been instrumental in predicting when triggers could occur.

Adding more contexts to the vast scope of insurance policies, weather data and insurance policies are seemingly a great match. Not only can insurance companies use their weather database to evaluate claims, it can also help increase customers engagement with weather alerts, thus managing risk of weather-stimulated accidents.

What are some typical Weather Data attributes?

The art of accurate weather forecasting is beyond simply gazing out the window to see if it is rainy or the type of clouds shading the sun rays from basking the Earth. This is due to a number of attributes (components) which make up the weather data of a specific place. Weather data is generated from a combined analysis of these measure components amongst others. These components include Wind, Precipitation, Temperature, Cloudiness, Humidity and atmospheric pressure. Other non-common factors which contribute to weather conditions are Mountains Oceans, Forest and other natural bodies.

How is Weather Data collected?

There are lots of methods for gathering weather data, using a range of tools and devices. Collecting daily weather data can help understand atmospheric patterns, and the findings are usually displayed in a weather data collection chart. The use of high-tech equipment for weather data science means collecting weather data can now be done to an amazing level of accuracy. Weather data collection equipment and sources of weather data can include:

  • Thermometers are used to measure temperature.
  • Radar systems to measure the movement of rain clouds.
  • Barometers measure atmospheric pressure.
  • Wind vanes and anemometers gauge wind speed and direction.
  • Transmissometers measure atmospheric visibility.
  • Hygrometers measure humidity.
  • Weather Satellites locate clouds, wildfires, snow cover, and indicate ocean temperatures

How to assess the quality of Weather Data?

The quality of the data varies depending on your weather data source. Different weather data sources supply different kinds of information, and some are more reliable than others.

Before assessing the quality of weather data, it’s important to understand the context in which the data set is to be used. A key part of data quality assessment (DQA) is recognising that data quality is meaningful only when it relates to its intended use case. It’s always a good idea to sample weather data before you buy it. This helps you establish whether a weather data company can provide the right type, quality, and quantity of weather data to support your specific use case. This involves some key simple steps that should be followed chronologically:

  1. Begin with a review of the sampling design and data collection method used to check for consistency with data collection objectives.
  2. Conduct a preliminary data review using a weather data sample to validate the data, calculate basic statistics or generate appropriate graphs.
  3. Select the appropriate statistical method for summarizing and analyzing the data. See how the data performs when you subject it to weather data analysis
  4. Verify the underlying assumptions of the statistical method and evaluate whether they hold, or whether deviations are acceptable, given the actual data.
  5. Draw conclusions from the data and use appropriate labels to describe the quality. This will help you separate high resolution weather data from weaker datasets.

Where can I get Weather Data?

We now understand how weather data is collected and how to assess the data quality. But how can you actually get weather data? Who provides weather data?

There are a number of weather data sources and weather data companies who now offer their weather datasets to buy. From forecast services like Dark Sky to analytics companies like Yahoo, weather data providers supply users with weather data for business and personal use. If you’re wondering how to find weather data online and at scale, browse Datarade’s weather data providers to compare datasets and feeds from a range of weather data services.

How is Weather Data typically priced?

Weather data providers offer a wide variety of pricing models to end users. Some providers offer weather data APIs (Application Programming Interface) while others may offer a weather mapping platform. Whatever the case, different pricing models are offered depending on the data package and product chosen. Most Data as a Service (DaaS) pricing models in the market with regards to weather data are volume-based and include;

  • Subscription to access content. Typically, users pay a monthly or annual subscription fee to access weather data content. Subscribers are categorized as basic, premium or premium gold depending on how much they pay per month or annually. The higher the amount the more data content they can access.
  • Pay per view access to content. The user pays for a single or one-time access to the data.

Common challenges with Weather Data?

A common issue which occurs when you’re looking to buy weather data is comparing weather data providers. Lots of companies sell weather data, but it may not be the kind of weather data which suits your use case. For example, a real time weather data broker will provide live weather updates, whereas another provider will offer exclusively historical weather datasets. This means it’s vital to get a weather data sample before you buy data or subscribe to a provider. This way, you can make sure that you’re getting exactly the right weather intelligence for your needs.

Questions for Weather Data providers

To get the best weather data, ask your provider the following:

  • How fast can they update their data set to match the volatility of the weather?
  • Can the provider’s dataset be integrated with our current business technologies and what does the process look like?
  • Who carries out external data quality assessment for the data provider?
  • How can a large volume of data be interpreted and utilized in a short time?
  • How can you ensure that your intelligence comes from the best weather data source?
  • Can I have a sample before I buy weather data from you?

    Who are the best Weather Data providers?

    Finding the right Weather Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Weather Data providers that you might want to buy Weather Data from are Meteomatics, Weather Source, CustomWeather, CropProphet, and Open Weather Map.

    Where can I buy Weather Data?

    Data providers and vendors listed on Datarade sell Weather Data products and samples. Popular Weather Data products and datasets available on our platform are Barchart Weather Data by Barchart, OnPoint Weather by Weather Source, and CropProphet Daily Weather Data by CropProphet.

    How can I get Weather Data?

    You can get Weather Data via a range of delivery methods - the right one for you depends on your use case. For example, historical 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 Weather Data APIs, feeds and streams to download the most up-to-date intelligence.

    What are similar data types to Weather Data?

    Weather Data is similar to Air Quality Index, Pollen Data, Wildfires Data, Climate Data, and Marine Data. These data categories are commonly used for Climate Change Analytics and Weather Data analytics.

    What are the most common use cases for Weather Data?

    The top use cases for Weather Data are Climate Change Analytics, Climate Modeling, and Weather Forecasting.

Categories Related to Weather Data

Explore similar categories related to Weather Data.

Popular Weather Data Use Cases

Find out the most common applications of Weather Data.

Climate Change Analytics
Climate Modeling
Weather Forecasting
Weather Observation
Energy Usage Management Weather Analytics Agriculture Management

Featured Top Lists for Weather Data

Explore featured lists of providers for Weather Data.