Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-15)
A general issue in climate science is the handling of big data and running complex and
computationally heavy simulations. In this paper, we explore the potential of using machine learning
(ML) to spare computational time and optimize data usage. The paper analyzes the effects of changes
in land cover (LC), such as deforestation or urbanization, on local climate. Along with green house
gas emission, ...