Accessing any weather, ocean or environmental data should be simple and convenient: Meteomatics provides a REST-full API to global historical, current and forecast data. This includes derived data from different centers (GFS, ECMWF, UK MetOffice, Env. Canada etc...), radar data, satellite, observational, lightning, land usage, digital terrain model data. Moreover, you can get also derived parameters like wind power and solar power data and forecasts for a given geolocation.
The API provides time series as well as spatial data. The latter is also offered through a WMS/WFS-compatible interface. This package includes some examples to enable a quick start when dealing with this API.
An online documentation is available through https://api.meteomatics.com .
Martin Fengler (2020). Meteomatics Weather API Connector (https://www.mathworks.com/matlabcentral/fileexchange/63992-meteomatics-weather-api-connector), MATLAB Central File Exchange. Retrieved .
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demo tres bien!
Nice documentation and great weather data
easy to use, great results
Very easy to use, I did not need much time to get the first weather data with the good documented code. Thanks!
Wow, weather data and forecasts as flexible as I need! Great tool!
Very well documented API and extensive amount of data available.
Awesome weather content!
Great tool with a huge weather data package behind. Cool stuff!!!
nice examples to get started with!
Awesome weather content! Wish I had that during my studies!
Removed unnecessary files.
Minor changes/updates to become compatible with more recent MATLAB versions.
Simplified access to query time series and gridded data. Added scripts to:
Introduced bug fixes due to changes in webread. Changes due to new API licensing mechanism.
Force webread to use txt option.
Bug fix in time series query for Matlab version <=9.0.
Bug fix for Matlab 2017b
Bug fix in tmp variable for Matlab Version 9.0.
Fixed a bug with Matlab versions newer than 2017.
Change to BSD license.
Inspired by: xml2struct