Comment on gmd-2023-118 DOI Creative Commons
Robin Schwemmle,

Hannes Leistert,

Steinbrich Andreas

и другие.

Опубликована: Сен. 17, 2023

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

Язык: Английский

RoGeR v3.0.3 – a process-based hydrological toolbox model in Python DOI Creative Commons
Robin Schwemmle,

Hannes Leistert,

Steinbrich Andreas

и другие.

Опубликована: Июль 3, 2023

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

Язык: Английский

Процитировано

1
Reply on RC2 DOI Creative Commons
Robin Schwemmle

Опубликована: Янв. 10, 2024

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

Язык: Английский

Процитировано

0
Reply on RC1 DOI Creative Commons
Robin Schwemmle

Опубликована: Янв. 10, 2024

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

Язык: Английский

Процитировано

0
RoGeR v3.0.5 – a process-based hydrological toolbox model in Python DOI Creative Commons
Robin Schwemmle,

Hannes Leistert,

Andreas Steinbrich

и другие.

Geoscientific model development, Год журнала: 2024, Номер 17(13), С. 5249 - 5262

Опубликована: Июль 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.

Язык: Английский

Процитировано

0
Comment on gmd-2023-118 DOI Creative Commons
Robin Schwemmle,

Hannes Leistert,

Steinbrich Andreas

и другие.

Опубликована: Авг. 18, 2023

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

Язык: Английский

Процитировано

0
Comment on gmd-2023-118 DOI Creative Commons
Robin Schwemmle,

Hannes Leistert,

Steinbrich Andreas

и другие.

Опубликована: Сен. 17, 2023

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

Язык: Английский

Процитировано

0