Predicting Weather and Restoring Maps Using Deep Learning

5 min read

Predicting the weather is a difficult task that involves statistics and data processing. Nowadays, in weather forecast, Machine Learning plays a crucial role. However, it is in numerical models where ML is more used. This article is an explanation of a project I made for predicting tomorrow’s gradient of max temperatures based on today’s gradient using Deep Learning. The model used is called Pix2Pix. Is a version of GANs used to generate images based on others (link). The way it works is as follows: we enter as input an image of today’s gradient of max temperatures in the US, then…...

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Agustin Bignu Physicist. Machine Learning and Data Science enthusiast. Currently working on quantum machine learning research at University of Granada.