RoGeR v3.0.5 – a process-based hydrological toolbox model in Python DOI Creative Commons
Robin Schwemmle,

Hannes Leistert,

Andreas Steinbrich

et al.

Geoscientific model development, Journal Year: 2024, Volume and Issue: 17(13), P. 5249 - 5262

Published: July 9, 2024

Abstract. Although water availability and quality are equally important for effective resources management at various spatial temporal scales, to date, a combined representation of soil balance components in Python is not available. The new RoGeR toolbox contains models that can be used only the quantification hydrological processes, fluxes stores, but also solute transport processes based on StorAge selection (SAS). This study presents code structure functionalities developed as scientific model following defined open-source software guidelines. uses five different computational backends covering just-in-time compilation, parallelism graphical processing units (GPUs) might optimizing performance. We show unit computing has greatest potential improve computation time energy usage, especially large modelling experiments. A simple experiment highlights capabilities toolbox. simulated balance, stable isotope (18O) transport, corresponding travel distributions Eberbaechle catchment, Germany, 3-year period. Due current limitations variety process components, further development needed. Future modifications easily possible due open architecture RoGeR.

Language: Английский

RoGeR v3.0.5 – a process-based hydrological toolbox model in Python DOI Creative Commons
Robin Schwemmle,

Hannes Leistert,

Andreas Steinbrich

et al.

Geoscientific model development, Journal Year: 2024, Volume and Issue: 17(13), P. 5249 - 5262

Published: July 9, 2024

Abstract. Although water availability and quality are equally important for effective resources management at various spatial temporal scales, to date, a combined representation of soil balance components in Python is not available. The new RoGeR toolbox contains models that can be used only the quantification hydrological processes, fluxes stores, but also solute transport processes based on StorAge selection (SAS). This study presents code structure functionalities developed as scientific model following defined open-source software guidelines. uses five different computational backends covering just-in-time compilation, parallelism graphical processing units (GPUs) might optimizing performance. We show unit computing has greatest potential improve computation time energy usage, especially large modelling experiments. A simple experiment highlights capabilities toolbox. simulated balance, stable isotope (18O) transport, corresponding travel distributions Eberbaechle catchment, Germany, 3-year period. Due current limitations variety process components, further development needed. Future modifications easily possible due open architecture RoGeR.

Language: Английский

Citations

0