Weather-related occurrences frequently have important economic effects. A product’s or raw material’s availability and demand might be impacted, as well as consumer behaviour. Heat waves raise energy consumption, hailstorms increase insurance claims, snow reduces in-store shopping but can boost online sales, and droughts increase grain prices.
There is an increasing need for study of weather and climate data to reveal how these occurrences and variations impact the Indian economy. The data from NCEI is being used by a range of third-party services to satisfy the practical requirements of businesses and their clients. These vendors, often referred to as weather report and news service providers or decision support providers, provide programmers that are specifically tailored to a variety of demands and weather-related queries.
Third-party weather report suppliers are lowering the uncertainty of prospective market shifts by integrating NCEI data with business-specific information. Many companies often employ third-party services to research consumer behaviour, logistics, weather trends, and many other topics. Retailers, seasonal maintenance teams, transportation, law offices, and insurance businesses are a few examples of economic sectors.
Cases of Use
Weather service companies use the extensive environmental data managed by NCEI for the development of their products and services. Numerous approaches are used by weather service companies to use NCEI data. NCEI’s data are used by providers including The weather forecast tomorrow team from Zimo to offer the following services:
Weather API and Geolocation Developer API in JSON and XML
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View and interact with the forecast for today, 14 days from now, and the upcoming 48 hours’ worth of hourly information. To receive notifications for the forecasting of weather of places that matter to you, sign up for severe weather alerts. For each location in the world, choose between hourly, daily, and historical views.
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Make sure you grant location and push notification permissions. Create areas that are important to you, such as your house, favourite vacation sites, etc. In the settings menu, give the locales unique names (“Mom’s House”). You may pick between actual and feels-like temperatures. In the “Plan” tab, use Zimo to configure long-term forecasts for significant forthcoming events.