Accessing weather, ocean or environmental data should be simple: Meteomatics provides a REST-full Weather API to global historical, current, forecast and climate data. This includes derived data from different centers (GFS, ECMWF, UK MetOffice, Env. Canada etc...), radar data, satellite images, weather stations, lightning data, digital elevation model data, ocean and maritime data. Moreover, you can also retrieve derived parameters like wind power and solar power data and forecasts for any given location.
The API provides time series as well as spatial gridded 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 extensive online documentation is available through https://api.meteomatics.com .
Martin Fengler (2021). Meteomatics Weather API Connector (https://www.mathworks.com/matlabcentral/fileexchange/63992-meteomatics-weather-api-connector), MATLAB Central File Exchange. Retrieved .
finally a tool to integrate weather data directly! rich weather data and great performance!
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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!
Inspired by: xml2struct
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