The analysis of the output from a large scale computer simulation experiment can pose a challenging problem in terms of size and computation. We consider output in the form of simulated crop yields from the Environmental Policy Integrated Climate (EPIC) model, which requires a large number of inputs such as fertiliser levels, weather conditions, and crop rotations inducing a high dimensional input space. In this paper, we adopt a Bayes linear approach to efficiently emulate crop yield as a function of the simulator fertiliser inputs. We explore emulator diagnostics and present the results from emulation of a subset of the simulated EPIC data output.

翻译：对大规模计算机模拟实验的产出进行分析,在规模和计算方面可能构成一个具有挑战性的问题。我们认为环境政策综合气候模型以模拟作物产量的形式产生的产出,这需要大量投入,如化肥水平、天气条件和作物轮作,从而产生一个高维输入空间。在本文中,我们采用巴伊斯线性方法,有效模仿作物产量,作为模拟化肥厂投入的函数。我们探索模拟器诊断,并展示模拟的EPIC数据产出的一组模拟结果。