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.

环境建模框架允许领域专家（而不是软件开发人员）在地球和环境科学中实施和运行数值模拟模型。由于需要使用更详细的过程表示或更大的数据集作为模型的输入，因此进行模型研究可能变得不可行，因为模型计算结果所花费的时间增加了。本研究的目的是在原型可伸缩建模框架的实现中评估异步多任务方法。我们评估了局部，焦点和区域地图代数运算的可伸缩性，并结合了这些运算的示例模型。我们的结果表明，使用其他硬件（例如计算机集群中的节点）的操作和示例模型的能力很好。