Today we are announcing the first stable release of the Meteostat Python library on PyPI. With version 1.0.0, the library becomes much more mature and performant. Furthermore, future minor releases will guarantee full compatibility from version 1.0 upwards.

Image for post
Image for post

With our Python library we wanted to build a scalable solution which allows users to analyze historical weather and climate data on a large scale — both time-wise and geographically. In contrast to the Meteostat JSON API, the library provides unlimited data access and doesn’t require users to sign up. This is made possible with the help of Cloudflare, a global CDN provider, which allows Meteostat to serve data dumps relatively fast — no matter where you are. …


Update: We’ve published a first stable version of the Meteostat Python library. Please read this article for more information.

Just one week after the release of our open weather station directory, we are now launching an official Meteostat Python library. The library will co-exist with our JSON API and provides a more flexible interface which targets the data science community. It’s build on top of the Meteostat bulk data interface and utilizes Pandas for data analysis. We invite everyone to test the 0.1.0 version of the Meteostat Python library. …


Today, Meteostat takes the next step in the effort of making meteorological data open and accessible for everyone. We are launching a GitHub repository which serves the purpose of collecting information about public weather stations worldwide. From now on, everyone is able to download and contribute to the full list of weather stations available via Meteostat.

Image for post
Image for post

Contributing

If you want to add a new weather station, update some information or correct an error, you can either correct/update the affected file(s) & create a pull request or fill an issue & describe your concern. Your pull requests will be reviewed by the Meteostat team. …


Today, a new chapter begins for the Meteostat project. With the release of our updated product portfolio we are laying the foundation for the project’s next growth wave. The update includes version 2 of our API and an updated user interface for the website.

Image for post
Image for post

Furthermore, we are rolling out a new feature which allows both developers and users of our website to access historical weather and climate data for any geographic location. We call it point data.

Point data is an incredible opportunity for Meteostat, as it allows even more people to consume weather statistics in a more feasible way. But it is also a huge challenge for a relatively small initiative like Meteostat. Building a weather model that provides high-quality interpolations is not a task you can accomplish by investing a few hours after work. …


As the meteorological winter came to an end this month we want to take the opportunity to have a look on the statistics. If you are based in Central Europe it probably does not come to your surprise that this winter was one of the warmest on record in Europe.

Temperature anomaly for Europe in winter 2019/2020.
Temperature anomaly for Europe in winter 2019/2020.
Temperature anomaly across Europe for winter 2019/2020. Source: Deutscher Wetterdienst.

In terms of precipitation Europe was mostly divided in half. While Italy and Spain experienced a dry season with little rain, we saw northern Europe reporting precipitation records well above average.


Climate and climate change have become ever-present topics in our news streams. As the earth is warming and human impact on climate change is frequently discussed on social media, the demand for open and reliable climate data sources is obvious. While governments and national weather agencies are beginning to adapt the open data trend, one problem remains: accessibility.

Image for post
Image for post

The National Oceanic and Atmospheric Administration (NOAA) is doing a great job collecting global climate data and making it available to science, education and other non-commercial activities. However, the data format is hard to decode for most people. …

About

Christian Lamprecht

Weather and climate enthusiast at meteostat.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store