27 Jan 2022
How to shed light on your energy needs with the OpenWeather Solar Radiation API Historical data
How to shed light on your energy needs with the OpenWeather Solar Radiation API Historical data
27 Jan 2022
How to shed light on your energy needs with the OpenWeather Solar Radiation API Historical data
24 Mar 2021
You can now personalise your iPhone Home Screen with the widgets from OpenWeather App - one widget is for current weather and the other one is for the short-term forecast for 4 hours. The weather data from OpenWeather can now be delivered rig...
08 Mar 2021
The granularity of the UV index has been increased and it is now included into the One Call API. In case you are using the preceding API for UV index, we would encourage you to switch to the enhanced solution.
26 Nov 2020
The ad-free & free-to-use OpenWeather App arrives to the App Store this week. The application is here to seize the entire potential of our #weatherapp
13 Jul 2020
Some of us might wonder how accurate the forecast is, and why it is constantly changing. We at OpenWeather use our own tools to monitor accuracy and quality metrics, to make sure we provide better data to our customers through our API.
25 Jun 2020
History Forecast Bulk is an archive of data on previously made 16-day forecasts collected from 7 October 2017 onwards, and available for any coordinates on the globe.
17 Jun 2020
The API to provide accumulated temperature and precipitation is part of the functionality of our APIs for the agricultural sector. Accumulated temperature and precipitation are calculated based on historical weather data, and play a fundament...
12 Jun 2020
Historical weather data are used in various areas of the economy and industry. They allow you to assess the impact of weather on business, are used to analyze and reduce potential risks, in machine learning, in the IoT system and much more. ...
03 Jun 2020
We are happy to introduce our new product – Historical Weather Data by State for all ZIP codes, USA.
12 May 2020
The transportation industry, both in itself and as a part of logistics, is highly dependent on short-term weather events.