Vegetation and the water cycles are inherently coupled across a wide range of spatial and
temporal scales. Water availability interacts with plant ecophysiology and controls …

Soil moisture content (SMC) is a key hydrological parameter in agriculture, meteorology and
climate change, and understanding of spatio-temporal distributions of SMC in farmlands is …

The land surface and the atmospheric boundary layer are closely intertwined with respect to
the exchange of water, trace gases, and energy. Nonlinear feedback and scale-dependent …

OpenCAL is a scientific software library specifically developed for the simulation of 2D and
3D complex dynamical systems on parallel computational devices. It is written in C/C++ and …

Cellular Automata (CA) are particularly suitable for physically-based modelling of complex
hydrological processes due to their inherent aptitude for parallel computing. Nevertheless …

Here we present a first multi-node/multi-GPU implementation of OpenCAL for grid-based
high-performance numerical simulation. OpenCL and MPI have been adopted as low-level …

A process-based ecosystem model (Vegetation–atmosphere Interface Processes (VIP)
model) is expanded, and then validated against three years' biometric, soil moisture and …

This article introduces OpenCAL, a new open source computing abstraction layer for multi-
and many-core computing based on the Extended Cellular Automata general formalism …

Abstract Remotely sensed Land Surface Temperature (LST) and Fraction of
Photosynthetically Active Radiation absorbed by vegetation (FPAR) are assimilated …

Cellular Automata are often used for modeling the evolution in time of environmental
systems mainly because they are directly compatible with parallel programming …