3-day forecasts of temperature, precipitation and wind. Forecasts have to be provided for several regions in the country. Short-term weather forecasts are relevant for the general public to plan activities, while also being reliable. See our methodology section for more information.
The submitter assessed the usability of the data as follows (3 - little to no effort needed, 1 - extensive effort needed): 1
|Downloadable at once||No|
|Available free of charge||Yes|
|In an open and machine-readable format|
|findable_steps||I knew the name of the agency by heart. I browsed through the website to find forecast data. The link about brought me to the required data.|
|Collected by government||Yes|
|collector_non_gov||Only 4 days are forecasted|
|characteristics||Temperature extremes, Wind speed, Wind direction, Precipitation Amount|
|location||http://www.dwd.de/DE/wetter/vorhersage_aktuell/vhs_brd_ - Deutscher Wetterdienst, Text-based forecasts for today and following 3 days|
It's the same problem in the survey as last year. The Deutsche Wetterdienst provide many data as open data but only 4 days in weather forecast. The survey needs 5 days. The result is zero points - but "no open data" is the wrong conclusion.
The submission was changed because all required data are available online. 2-day forecasts are published online in text form. Extensive effort would be required to retrieve the core information from the text (which is available as HTML). Especially wind speed and direction are written in "unstructured", human-readable text. Other data is available for a range of research services. There is a service called "Weste XL" allowing users to download data of weather observations (see: http://www.dwd.de/DE/leistungen/weste/westexl/weste_xl.html?nn=342632). This service is available as registered user, provides openly licensed data for temperature, precipitation, wind, and other parameters, available in xml. In the future data more data shall be opened, as this article indicates (https://www.heise.de/newsticker/meldung/Amtliche-Wetterdaten-sollen-kostenfrei-nutzbar-werden-3601117.html). Thank you, Thomas Tursics, for contributing to the Global Open Data Index.