Geosciences is a field of great societal relevance that requires solutions to several urgent
problems facing our humanity and the planet. As geosciences enters the era of big data …

Data science models, although successful in a number of commercial domains, have had
limited applicability in scientific problems involving complex physical phenomena. Theory …

Thanks to recent technological advances, hydrogeologists now have access to large
amounts of data acquired 8 in real time. Processing these data using traditional modelling …

Freshwater resources are among the most basic requirements of human society.
Nonetheless, global information about the space-time variations of the area of freshwater …

Influenza-like illness (ILI) places a heavy social and economic burden on our society.
Traditionally, ILI surveillance data are updated weekly and provided at a spatially coarse …

Lakes and reservoirs, as most humans experience and use them, are dynamic bodies of
water, with surface extents that increase and decrease with seasonal precipitation patterns …

This chapter provides an overview of machine learning models and their applications to the
science of inland waters. Such models serve a wide range of purposes for science and …

Abstract Study region Tibetan Plateau (TP) Study focus Lakes in the TP that are subject to
low human activity serve as an important indicator for quantitative assessment of regional …

In this study, we propose and test a formulation for building causal physics-informed hybrid
models over traditional physics-informed hybrid models (H-HBVo) and a convolutional …