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LIVVkit 2.1: automated and extensible ice sheet model validation

机译:Livvkit 2.1:自动化和可扩展的冰板模型验证

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A collection of scientific analyses, metrics, and visualizations for robust validation of ice sheet models is presented using the Land Ice Verification and Validation toolkit (LIVVkit), version 2.1, and the LIVVkit Extensions repository (LEX), version 0.1. This software collection targets stand-alone ice sheet or coupled Earth system models, and handles datasets and analyses that require high-performance computing and storage. LIVVkit aims to enable efficient and fully reproducible workflows for postprocessing, analysis, and visualization of observational and model-derived datasets in a shareable format, whereby all data, methodologies, and output are distributed to users for evaluation. Extending from the initial LIVVkit software framework, we demonstrate Greenland ice sheet simulation validation metrics using the coupled Community Earth System Model (CESM) as well as an idealized stand-alone high-resolution Community Ice Sheet Model, version 2 (CISM2), coupled to the Albany/FELIX velocity solver (CISM-Albany or CISM-A). As one example of the capability, LIVVkit analyzes the degree to which models capture the surface mass balance (SMB) and identifies potential sources of bias, using recently available in situ and remotely sensed data as comparison. Related fields within atmosphere and land surface models, e.g., surface temperature, radiation, and cloud cover, are also diagnosed. Applied to the CESM1.0, LIVVkit identifies a positive SMB bias that is focused largely around Greenland's southwest region that is due to insufficient ablation.
机译:使用土地冰验证和验证工具包(Livvkit),版本2.1和Livvkit扩展库(LEX),版本0.1,介绍了用于冰板模型的强大验证的科学分析,指标和可视化的集合。该软件集合针对独立的冰盖或耦合地球系统模型,并处理需要高性能计算和存储的数据集和分析。 Livvkit旨在以可共同的格式启用用于后处理,分析和可视化的观察和模型派生数据集的高效和完全可重复的工作流程,从而将所有数据,方法和输出分发给用户进行评估。从初始Livvkit软件框架中扩展,我们使用耦合的社区地球系统模型(CESM)来展示格陵兰冰盖仿真验证度量以及理想化的独立高分辨率社区冰板模型,版本2(CisM2),加上奥尔巴尼/ Felix速度求解器(Cism-albany或Cism-A)。作为该能力的一个示例,Livvkit分析了模型捕获表面质量平衡(SMB)的程度,并使用最近可用的原位和远程感测数据识别潜在的偏置来源。大气和陆表面模型中的相关领域也被诊断出来,例如表面温度,辐射和云覆盖。 Livvkit应用于CESM1.0,确定了一个积极的SMB偏见,该偏差主要集中在格陵兰的西南地区,这是由于消融不足。
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