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The Most Important Things You Need to Know About Weather Data APIs


People talk about the weather all the time. It’s available everywhere, within an app on your phone, in your car, obviously on the news and even in some home HVAC systems. But, when you need to incorporate weather information into your business processes, products, or to make critical decisions, how do you get it? A Weather data Application Programming Interface – API is the answer. When it comes to weather, there is no easier way to integrate weather information than the weather data API! These APIs are services that act as an intermediary or mechanism between two different and unrelated applications allowing them to communicate with a set of definitions and protocols.1 Best of all an API opens you up to a world of weather information spanning current conditions, historical information, forecasts, and predictive conditions for a wide offering of weather risks, hazards, and climate impacts on local, regional, and global scales. 

In this blog post, we'll be discussing weather data APIs and their various uses, as well as providing tips on how to use them most effectively for your organization. We will also cover the difference between freely available weather API where you can receive low value but freely available weather information versus more sophisticated weather models and information that can provide clarity and aid in better and more informed decision making. So read on to learn everything you need to know about weather data APIs.

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    What Weather Data APIs are Available and Why Would I Need Them?

    There are many different weather data APIs available, each with its own set of features and capabilities. Some of the most popular weather data APIs include the National Weather Service API, the Dark Sky API, and the Weather Underground API.

    Weather APIs are useful in that they can provide quick and easy access to a plethora of data products. For example, the Baron Weather API provides developers with access to data products such as:

    • The Baron Tornado Index
    • Radar data and imagery
    • Current and forecast road conditions
    • Satellite imagery from around the world
    • National Weather Service advisories
    • Flash Flood Risk


    Some common features of weather data APIs:

    • Everyday temperature and surface analysis data
    • Weather event tracking
    • Weather condition forecasting
    • Humidity
    • Wind direction and speed
    • Weather alerts and advisories


    Weather data APIs typically provide data for current conditions, forecast data, and historical data and are used by businesses that need to integrate weather information into their business processes for improved operations, risk assessment and safety. For example, an insurance carrier may use historical, current, and predictive weather information to assess risk on insuring a property or validating a claim. A transportation company may use a weather data API to integrate into their fleet management solutions to route vehicles around areas affected by severe weather. A flight-tracking firm integrates weather data into its flight planning software for pilots.


    Terms to Know

    If you're planning on using a weather data API, you'll need to be familiar with some important terms. In this section, we'll list some of the most important terms you'll encounter when working with the weather data API. We hope this will help you to understand the concepts behind what the weather data API has to offer so you make informed decisions when choosing a provider.


    Historical Weather Archive

    hail path visual example for weather risk management

    Example of historical hail path data.

    Our API comes with a comprehensive catalog of accurate and location-specific historical weather data, which can be integrated into your existing platforms. The Weather Archive is a powerful tool for anyone wanting to access historical weather information to better understand current and future weather conditions, prepare a comprehensive plan, or compare models.



    AWS, or Amazon Web Services, is a platform that provides cloud computing services. It lets you use a remote computer to access the resources of AWS without having to install any software. You can use AWS to run your own website, store your data, run your own business, and much more. For mission-critical delivery that scales on-demand, is reliable and secure, Baron uses AWS for providing weather data.



    An SDK (software development kit) is a collection of tools, documentation, and code that can be used by developers to build and develop applications or to help them integrate the code into their own applications. An SDK can be either open-source or proprietary, but the two main types are mobile SDKs and desktop SDKs. 

    • Mobile SDKs are designed for developing applications for mobile platforms, such as iOS and Android
    • Desktop SDKs are designed for developing applications for desktop platforms, such as Windows and Mac.


    Mobile Toolkit

    The Baron Mobile Toolkit, a series of mobile SDKs, provides easy plug-and-play solutions for adding intelligent weather content to your existing applications.



    A Content Delivery Network (CDN) is a type of network that helps increase the speed and efficiency of delivering content to users. CDNs are typically used by large organizations to distribute content to a global audience, including things like website content, application files, and videos. CDNs help to reduce latency and provide faster access times by caching data on their servers. This makes it possible for users to load the files faster than if they were delivered directly from the source.


    RESTful architecture 

    example of data from a weather api intergation with baron

    Baron's Weather API delivers data in standardized formats using a RESTful architecture.

    This architecture is typically used when developing web applications, as it makes it easier to create and manage client-side interactions. It advocates using the Representational State Transfer (REST) protocol for distributed systems. It enables a system to handle requests and responses in a format that is easy for clients to understand and use. Clients can make requests using standard HTTP methods, such as GET, POST, and PUT, and the server will respond with the requested data in the same format. The focus is typically on the client (the user agent), not the server.


    Open Geospatial Consortium (OGC) Implementation

    Open Geospatial Consortium (OGC) is an international non-profit organization that helps to develop and standardize best practices for the sharing of spatial data. Serving data using standard protocols established by the OGC, such as Web Map Service (WMS) for map images, enables users to access maps from any web browser, regardless of the device they are using. The Baron GIS boasts a flexible and powerful mapping engine that can handle a wide range of mapping tasks. With this solution, organizations can quickly and easily create high-quality maps of their data.



    Web Map Service (WMS) is a standard protocol created by the OGC to deliver map layers through the internet that can be displayed as map images to end-users. This OpenGIS service also allows images to be defined as transparent so that multiple images can be combined. 


    Visit for official schemas and other related information.



    WFS or Web Feature Service also follows the standard protocol established by the OGC and provides wind, lightning strikes, and other atmospheric data. WFS layers are easily and often added to other GIS software, like the Baron GIS to create powerful mapping engines.



    An Esri mapping product, ArcGIS provides licensing for location-based analytics. It allows you to better visualize your data, and share your data more seamlessly. As an Esri partner, Baron utilizes ArcGIS with our Weather API, allowing your developers to integrate all the weather information you need directly into your existing platforms.

    What Makes Weather Data APIs So Accurate?

    Wondering how accurate the weather data is that you're relying on? Or maybe you're just looking to increase your weather forecasting accuracy? If so, read on for insights into how weather APIs work and how AI and machine learning are used in weather forecasting to make predictions more accurate.


    Better data leads to better accuracy

    When it comes to weather data, accuracy is key. These days, weather predictions are crucial for everyone from insurance providers, service companies and public event venues. It’s not so much what type of data you have, but how it’s being used. And multiple sources is key. The right combination of real time, historical, and even long term forecast data can be analyzed and cross-checked from multiple angles and for multiple purposes.

    Most weather data is used for making cricital decisions. The answer usually needs to be a “yes” or “no”. Not a spreadsheet with a bunch of numbers. Baron’s API does the number crunching for you. For example, questions that can be easily answered by deeper data sets are:

    1. Is there (or was there) a tornado with this storm?
    2. Will (or did) the hail cause damage?
    3. Is my business in an area that often floods?

    Baron’s API also provides current weather data such as rainfall accumulations and wind speed that can be compared to other reports on the same location. Historical weather data is also available from the API, which can be analyzed to understand previous weather patterns and compare them again to current and future predictions.


    How do AI and machine learning help continually make weather forecasts more accurate

    A great weather data API relies on a variety of methods, including measuring how often their predictions match up with actual conditions. This allows them to improve their forecasts over time and make them more accurate for users. By using a variety of methods to measure it, they are able to tailor their content and services to meet the needs of their audience.

    Weather forecasts are a vital part of everyday life, and they can be quite inaccurate at times. This is due to a number of factors, including human error. But thanks to AI and machine learning, weather forecasts are becoming more accurate by the day. Analyzing data from satellites, buoys, radar, and other sources enable models to create more accurate simulations of future behavior of weather systems. This then allows for predictions for specific locations to be made with a higher degree of accuracy than ever before. So, whether you're looking for weather updates for your region or you just want to be prepared for any eventuality, make sure to keep AI and machine learning in mind when making weather forecasts.

    How Accurate Can These APIs Get?

    Weather data APIs can be inaccurate, which can result in incorrect warnings and decisions being made about dangerous weather conditions so it is very important that the service you use has the best data possible. Weather data can be very accurate when using strategic combinations of current technologies like:

    • Live weather data
    • Historical Weather data
    • Advanced Modeling
    • Climate and Environmental Impacts


    What service has the most accurate weather data?

    Having accurate weather data is crucial for businesses of all kinds. Whether you're in the Aviation, Insurance, Public safety, or other industries that need accurate weather there are many different services you can use. It’s important to consider the number and types of data sources used in order to know whether your data is coming from a handful of broad or specific locations, or from pinpoint locations across the globe. It’s also important to consider if the data is live, historical, or future weather data or a compilation of all three.

    A quick google search can give you many options like Foreca or DTN, but Baron Weather provides the most accurate weather data of any service. We help users interpret, analyze, and integrate weather information into their existing systems. This information is sourced from hundreds of data points, and includes pin-point accuracy along with real-time data, historical data, and advanced data modeling. All of which can be easily integrated and interpreted to fit your needs. Accurate and precise information is critical when lives, property and businesses are on the line.

    What are the Popular Weather APIs?

    There are many popular weather data APIs available, including Baron Weather, Accuweather, Yahoo Weather, OpenWeatherMap and Dark Sky.

    Baron Weather

    Whether you’re an expert in meteorology or a business impacted by weather we have a solution for you.

    Our products help users interpret, analyze, and integrate weather information. Accurate and precise information is critical when lives, property and businesses are on the line. Using the latest machine learning and data science we simplify the most complex meteorology, providing clear actionable weather intelligence.


    In terms of market share, Accuweather is one of the most popular weather data APIs, with a staggering 74% market share.

    Weather Underground

    This API offers a wide range of features, including live streaming and historical data. It is also free to use for up to five requests per day.


    OpenWeatherMap is an easy-to-use platform that is used by millions of people all over the world to access real-time weather data. Using OpenWeatherMap you can create weather forecasts for your region or even access data from other countries. Additionally, it’s highly customizable and can be integrated into your website or app.

    Yahoo! Weather

    This powerful API offers a wide range of features that include live weather updates, global radar and maps, and detailed local forecasts. Additionally, it offers access to historical weather data which can help you make informed business decisions.

    Which Weather API is the Best One for Your App?

    We might be biased, but Baron Weather is the best, feature-rich API for weather data. It offers real-time data, hourly predictions, historical data, and more.

    Some of the other benefits of using Baron Weather include that it's reliable and has a fast response time. Additionally, it's easy to use and integrates with many popular programming languages.

    Overall, Baron Weather is the perfect choice for any app that needs weather data..

    How to Select the Right Weather API for Your Needs

    In order to make the best decision when selecting a weather data api, you need to first understand the specific weather threats that pertain to your operation. You need to identify what type of data you need and how you want to receive it. This can include:

    • What specific weather threats pertain to your operation?
    • What weather data do you need (forecast, historical, local, regional, etc)?
    • How does it need to integrate with your application?

    For example, if you operate a business that relies on shipping weather conditions, then you will need access to real-time weather data in order to determine traffic congestion and make informed decisions about when and where to dispatch your drivers. You may also want access to historical weather data in order to correlate changes in precipitation with changes in shipping volume.

    Once you know what kind of data you need and how you want it delivered, the next step is figuring out which weather data api is right for you. There are many different options available, so it's important that you choose one that meets your needs and expectations.

    Baron Weather offers a reliable, scaleable API that gives you all of the information you need, when you need it. Talk to an expert today to see how our customizable solution can work for you.