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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Vydáno v:Environmental modelling & software : with environment data news Ročník 101; s. 51 - 63
Hlavní autoři: Liu, Ning, Shaikh, Mohsin Ahmed, Kala, Jatin, Harper, Richard J., Dell, Bernard, Liu, Shirong, Sun, Ge
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.03.2018
Elsevier Science Ltd
Témata:
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
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Shrnutí: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 computationally expensive and cause a run-time memory burden. Using distributed (MPI) and shared (OpenMP) memory parallelism techniques, we revised the original model as dWaSSI-C. We showed that using MPI was effective in reducing the computational run-time and memory use. Two experiments were carried out to simulate water and carbon fluxes over the Australian continent to test the sensitivity of the parallelized model to input data-sets of different spatial resolutions, as well as to WUE parameters for different vegetation types. These simulations were completed within minutes using dWaSSI-C, whereas they would not have been possible with the serial version. The dWaSSI-C model was able to simulate the seasonal dynamics of gross ecosystem productivity (GEP) reasonably well when compared to observations at four eddy flux sites. Sensitivity analysis showed that simulated GEP was more sensitive to WUE during the summer compared to winter in Australia, and woody savannas and grasslands showed higher sensitivity than evergreen broadleaf forests and shrublands. Although our results are model-specific, the parallelization approach can be adopted in other similar ecosystem models for large scale applications. •The WaSSI-C ecohydrological model serially calculates water and carbon fluxes and is therefore restricted to coarse resolution simulations.•MPI and OpenMP techniques significantly reduced computing time allowing for simulations at much higher spatial resolutions.•This approach was demonstrated at a 5 km resolution over the Australian continent, and could be performed in minutes.•The same parallelization approach can be applied to other complex ecohydrological models.
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ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2017.11.033