Parallelization of a distributed ecohydrological model

WaSSI-C is an ecohydrological model which couples water and carbon cycles with water use efficiency (WUE) derived from global eddy flux observations. However, a significant limitation of the WaSSI-C model is that it only runs serially. High resolution simulations at a large scale are therefore compu...

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 101; S. 51 - 63
Hauptverfasser:	Liu, Ning, Shaikh, Mohsin Ahmed, Kala, Jatin, Harper, Richard J., Dell, Bernard, Liu, Shirong, Sun, Ge
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.03.2018 Elsevier Science Ltd
Schlagworte:	Annual variations Australia broadleaved evergreen forests Carbon Carbon cycle Computer applications Computer memory Computer simulation data collection Distributed memory Distributed memory parallelism Ecohydrological modeling Ecosystem models ecosystems eddy covariance Environment models Fluxes Grasslands High performance computing Parallel processing Run time (computers) Savannahs savannas Sensitivity analysis Shared memory parallelism shrublands Simulation Spatial data Spatial discrimination summer Vegetation Vortices Water and carbon fluxes Water use Water use efficiency winter Australia Water and carbon fluxes Shared memory parallelism High performance computing Distributed memory parallelism Ecohydrological modeling
ISSN:	1364-8152, 1873-6726
Online-Zugang:	Volltext
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