Abstract
Environmental modelling frameworks allow domain experts, rather than software developers, to implement and run numerical simulation models in earth and environmental sciences. Because of the need to use more detailed process representations or larger datasets as input to models, it may become infeasible to perform modelling studies, due to the increased amount of time it takes for models to calculate results. The objective of this study is to evaluate the asynchronous many-task approach in the implementation of a prototype scalable modelling framework. We evaluate the scalability of local, focal, and zonal map algebra operations, and an example model in which these operations are combined. Our results show that the capacity of the operations and the example model to use additional hardware, like nodes in a computer cluster, is good. With our freely available prototype framework, models can be executed faster and modelling studies processing considerably more data can be performed.
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