(Machine) Learning from our Mistakes:Confronting Land Surface Models with Artificial Intelligence KU Leuven
Theory-based land surface models (LSMs) represent our current best knowledge about biogeophysical land surface processes and are being used for weather forecasting, climate modeling, and a host of other environmental applications. Data-driven machine learning (ML) techniques have become ubiquitous in virtually all fields of research as well as in everyday life, yet its potential remains underexploited in many fields of the Earth sciences. This ...