Machine Learning
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CNN for postprocessing of IVT images

Re-implementation of the notebook referred to the 2019 paper by Chapman et al. The purpose is to build a ConvNet able to postprocess the IVT (Integrated Vapor Transport) images derived from NWP models given a set of ground truth IVT values derived from measurement.

Used technologies

image - Matplotlib
image - Pandas
image - Tensorflow
image - Xarray

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