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Comprehensive assessment of models and events using library tools (CAMEL) framework: Time series comparisons

机译：使用库工具（CAMEL）框架全面评估模型和事件：时间序列比较

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摘要

The Comprehensive Assessment of Models and Events using Library Tools (CAMEL) framework leverages existing Community Coordinated Modeling Center services: Run-on-Request postprocessing tools that generate model time series outputs and the new Community Coordinated Modeling Center Metadata Registry that describes simulation runs using Space Physics Archive Search and Extract metadata. The new CAMEL visualization tool compares the modeled time series with observational data and computes a suite of skill scores such as Prediction Efficiency, Root-Mean-Square Error, and Symmetric Signed Percentage Bias. Model-data pairs used for skill calculations are obtained considering a user-selected maximum difference between the time of observation and the nearest model output. The system renders available data for all locations and time periods selected using interactive visualizations that allow the user to zoom, pan, and pick data values along traces. Skill scores are reported for each selected event or aggregated over all events for all participating model runs. Separately, scores are reported for all locations (satellites or stations) and for each location individually. We are building on past experiences with model-data comparisons of magnetosphere and ionosphere model outputs from GEM2008, GEM-CEDAR Electrodynamics Thermosphere Ionosphere, and the SWPC Operational Space Weather Model challenges. The CAMEL visualization tool is demonstrated using three validation studies: (a) Wang-Sheeley-Arge heliosphere simulations compared against OMNI solar wind data, (b) ground magnetic perturbations from several magnetosphere and ionosphere electrodynamics models as observed by magnetometers, and (c) electron fluxes from several ring current simulations compared to Radiation Belt Storm Probes Helium Oxygen Proton Electron instrument measurements, integrated over different energy ranges.
机译：使用库工具（CAMEL）框架对模型和事件进行的全面评估利用了现有的社区协调建模中心服务：按需运行的后处理工具，用于生成模型时间序列输出；以及新的社区协调建模中心元数据注册表，用于描述使用Space进行模拟运行物理档案搜索和提取元数据。新的CAMEL可视化工具将建模的时间序列与观测数据进行比较，并计算出一组技能得分，例如预测效率，均方根误差和对称符号百分比偏差。考虑到用户选择的观察时间与最近的模型输出之间的最大差异，获得了用于技能计算的模型数据对。该系统使用交互式可视化呈现针对所有位置和时间段选择的可用数据，该可视化允许用户沿着轨迹缩放，平移和拾取数据值。报告每个选定事件的技能得分，或针对所有参与模型运行的所有事件汇总技能得分。分别报告所有位置（卫星或站）以及每个位置的分数。我们基于过去的经验，对来自GEM2008，GEM-CEDAR电动力学热层电离层和SWPC运行空间天气模型挑战的磁​​层和电离层模型输出进行模型数据比较。通过三项验证研究演示了CAMEL可视化工具：（a）Wang-Sheeley-Arge太阳圈模拟与OMNI太阳风数据的比较；（b）磁强计观察到的来自多个磁层和电离层电动力学模型的地磁扰动，以及（c）与辐射带暴风探头氦氧质子电子仪器测量结果相比，通过多次环流模拟得到的电子通量在不同的能量范围内进行了积分。

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  • 来源
    《Space Weather》 |2019年第6期|845-860|共16页
  • 作者

    Rastaetter Lutz; Wiegand Chiu P.; Mullinix Richard E.; MacNeice Peter J.;

  • 作者单位

    NASA GSFC Community Coordinated Modeling Ctr Code 674 Greenbelt MD 20771 USA;

    NASA GSFC Community Coordinated Modeling Ctr Code 674 Greenbelt MD 20771 USA|NASA GSFC Code 550 Greenbelt MD USA;

    NASA GSFC Community Coordinated Modeling Ctr Code 674 Greenbelt MD 20771 USA|NASA GSFC Code 587 Greenbelt MD USA;

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