Near-instantaneous retrievals by AI
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0.027° × 0.027°
*From the processing start
This product, developed at Chalmers University of Technology (Sweden), provides probabilistic retrievals of precipitation over Africa by an artificial neural network. The network consists of a fully convolutional, quantile regression neural network, trained using multi-task learning and nearly four years of collocations of SEVIRI level 1.5 data and the GPM DPR and GMI Combined Precipitation L2B. The network infers the precipitation probability distribution for each pixel in a re-gridded SEVIRI image, using all infrared channels and the satellite zenith viewing angle. This enables retrievals independent of the time of day. Only retrievals for the last seven days are stored.
This product will likely be documented in a scientific article or a technical report. In the meantime, the following documents are related:
Free access to the data is granted after providing us a public SSH key.
Contact us with your public SSH key and a short description about how you intend to use the data. Once you are granted access, you will be able to access the data through an SFTP server. Your public key will be stored for 90 days. After this period, you will have to renew your public key by contacting us again.