Abstract Earth System Models (ESMs) are essential tools for understanding and predicting
global change, but they cannot explicitly resolve hillslope‐scale terrain structures that …

The diversity in hydrologic models has historically led to great controversy on the correct
approach to process-based hydrologic modeling, with debates centered on the adequacy of …

Recently, deep learning (DL) has emerged as a revolutionary and versatile tool transforming
industry applications and generating new and improved capabilities for scientific discovery …

This work introduces the S2M (SAFRAN–SURFEX/ISBA–Crocus–MEPRA) meteorological
and snow cover reanalysis in the French Alps, Pyrenees and Corsica, spanning the time …

The concept of using representative hillslopes to simulate hydrologically similar areas of a
catchment has been incorporated in many hydrologic models but few Earth system models …

The continual growth in the availability, detail, and wealth of environmental data provides an
invaluable asset to improve the characterization of land heterogeneity in Earth system …

A cell-to-cell routing (ROU) module has been implemented in a large-scale conceptual
hydrological model, developed for the entire landmass of India with a 5 km× 5 km grid cell …

Watershed flow processes consist of partitioning, movement, storage, and redistribution of
water fluxes in space and time. However, the integrated modeling of these processes is …

One of the persistent challenges of Land Surface Models (LSMs) is to determine a realistic
yet efficient sub‐grid representation of heterogeneous landscapes. This is particularly …

Digital soil map** provides estimates of soil properties and, in turn, an understanding of
the spatial variation in soil across landscapes. In recent years, several digital soil map** …