The application of satellite remote sensing and machine learning for modelling impacts of regenerative farming practices
Machine learning and data assimilation of sea ice thermodynamics
Manifold Learning and Machine Learning for discovering data-driven dynamical models
Manifold Learning/Deep Learning for the construction of data-driven dynamical models
Data Assimilation in Hydrological Modelling
Essays on Climate and Conflict
Machine Learning Optimization Applications Using Geophysical Inputs and Transformations
Remote sensing of surface hydrology across Antarctic ice shelves
Data-driven Ocean Modelling
Machine learning for predicting extreme heat in cities
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