Time series prediction with neural networks has been the focus of much research in the past
few decades. Given the recent deep learning revolution, there has been much attention in …

The long-term diversification of the biosphere responds to changes in the physical
environment. Yet, over the continents, the nearly monotonic expansion of life started later in …

Our capability to reconstruct past landscapes and the processes that shape them underpins
our understanding of paleo-Earth. We take advantage of a global-scale landscape evolution …

Flood inundation modeling across large data sparse areas has been increasing in recent
years, driven by a desire to provide hazard information for a wider range of locations. The …

Numerical simulation of the form and characteristics of Earth's surface provides insight into
its evolution. Landlab is an open-source Python package that contains modularized …

Landslides and flooding are two of the most common hazards associated with heavy rainfall.
Most studies, however, tackle the occurrence of these hazards separately or independently …

Understanding Earth surface responses in terms of sediment dynamics to climatic variability
and tectonics forcing is hindered by limited ability of current models to simulate long-term …

Currently, the use of numerical models for reproducing the evolution of river systems and
landscapes is part of the day-by-day research activities of fluvial engineers and …

Flood inundation models are increasingly used for a wide variety of river and coastal
management applications. Nevertheless, the computational effort to run these models …

The impact of climate on topography, which is a theme in landscape evolution studies, has
been demonstrated, mostly, at mountain range scales and across climate zones. However …