Category Archives: Machine Learning

From Ürümqi to Minneapolis: Clustering City Climates with Self-Organising Maps

Posted on 6 February, 2023 by danaallen

By: Niall McCarroll As a Research Software Engineer, my job involves developing, testing and maintaining software that scientists can use to analyse earth observation and climate data.  Recently I’ve been developing some software that can be used to visualise climate … Continue reading →

Posted in Climate, Data Visualisation, Machine Learning | Leave a comment

Can We Use Artificial Intelligence To Improve Numerical Models Of The Climate?

Posted on 8 March, 2021 by danaallen

By: Alberto Carrassi Numerical models of the climate are made of many mathematical equations that describe our knowledge of the physical laws governing the atmosphere, the ocean, the sea-ice etc. These equations are solved using computers that “see” the Earth … Continue reading →

Posted in data assimilation, Machine Learning | Leave a comment

Using deep learning to observe river levels using river cameras

Posted on 15 February, 2021 by danaallen

By: Sarah Dance In recent times, machine learning is being increasingly used to make sense of digital data. In environmental science, we are only at the beginning of this journey (Blair et al 2021). However, we have already found one … Continue reading →

Posted in Climate, Flooding, Machine Learning | Leave a comment