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Towards a GIS assessment of numerical ice-sheet model performance using geomorphological data

机译:利用地貌学数据进行数值冰盖模型性能的GIS评估

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A major difficulty in assimilating geomorphological information with ice-sheet models is the lack of a consistent methodology to systematically compare model output and field data. As an initial step in establishing a quantitative comparison methodology, automated proximity and conformity analysis (APCA) and automated flow direction analysis (AFDA) have been developed to assess the level of correspondence between modelled ice extent and ice-marginal features such as end moraines, as well as between modelled basal flow directions and palaeo-flow direction indicators, such as glacial lineations. To illustrate the potential of such an approach, an ensemble suite of 40 numerical simulations of the Fennoscandian ice sheet were compared to end moraines of the Last Glacial Maximum and the Younger Dryas and to glacial lineations in northern Sweden using APCA and AFDA. Model experiments evaluated in this manner were ranked according to level of correspondence. Such an approach holds considerable promise for optimizing the parameter space and coherence of ice-flow models by automated, quantitative assessment of multiple ensemble experiments against a database of geological or glaciological evidence.
机译:用冰盖模型吸收地貌信息的主要困难是缺乏一致的方法来系统地比较模型输出和现场数据。作为建立定量比较方法的第一步,已经开发了自动接近度和一致性分析(APCA)和自动流向分析(AFDA),以评估建模的冰范围和冰边缘特征(如最终冰rain)之间的对应程度,以及在模拟的基础流向和古流向指示符(例如冰川线)之间。为了说明这种方法的潜力,将使用Fennoscandian冰盖进行的40个数值模拟的合奏套件,与使用APCA和AFDA的末次冰河末期和年轻的Dryas的端粒以及瑞典北部的冰河系进行了比较。以这种方式评估的模型实验根据对应程度进行排名。通过针对地质或冰川证据的数据库对多个整体实验进行自动,定量评估,这种方法有望优化冰流模型的参数空间和一致性。

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