Weather radar observation dataset for machine learning

This file contains a NetCDF4-format dataset of precipitation radar data extracted from the MeteoSwiss radar composite of the year 2018. There are a total of 180000 samples, each containing a series of 8 radar images spaced 10 minutes apart, of 128x128 pixels each. Some of the samples overlap with each other. The spatial resolution is approximately 0.5 km. The dataset is made available to support the code found here: https://github.com/jleinonen/geogan The dataset has been split into three parts due to file size limitations. To use the data, merge the files e.g. as follows: cat samples-2018-128x128.nc-a samples-2018-128x128.nc-b samples-2018-128x128.nc-c > samples-2018-128x128.nc The data in the "sequences" variable is given as 8-bit unsigned integers, which are decoded into rain rates using the conversion table found in the scale_rzc.txt file. Values of 0 are decoded to the value on the first line of this file, values of 1 to the value on the second line, and so on. We thank MeteoSwiss for providing the data and permitting us to release it in this form.