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The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

机译:辐射传递模型比对(RAMI)练习的第四阶段:实际冠层场景和一致性测试

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The RAdiative transfer Model Intercomparison (RAMI) activity focuses on the benchmarking of canopy radiative transfer (RT) models. For the current fourth phase of RAMI, six highly realistic virtual plant environments were constructed on the basis of intensive field data collected from (both deciduous and coniferous) forest stands as well as test sites in Europe and South Africa. Twelve RT modelling groups provided simulations of canopy scale (directional and hemispherically integrated) radiative quantities, as well as a series of binary hemispherical photographs acquired from different locations within the virtual canopies. The simulation results showed much greater variance than those recently analysed for the abstract canopy scenarios of RAMI-IV. Canopy complexity is among the most likely drivers behind operator induced errors that gave rise to the discrepancies. Conformity testing was introduced to separate the simulation results into acceptable and non-acceptable contributions. More specifically, a shared risk approach is used to evaluate the compliance of RI model simulations on the basis of reference data generated with the weighted ensemble averaging technique from ISO-13528. However, using concepts from legal metrology, the uncertainty of this reference solution will be shown to prevent a confident assessment of model performance with respect to the selected tolerance intervals. As an alternative, guarded risk decision rules will be presented to account explicitly for the uncertainty associated with the reference and candidate methods. Both guarded acceptance and guarded rejection approaches are used to make confident statements about the acceptance and/or rejection of RT model simulations with respect to the predefined tolerance intervals. (C) 2015 The Authors. Published by Elsevier Inc.
机译:RAdiative传递模型比对(RAMI)活动的重点是树冠辐射传递(RT)模型的基准测试。对于当前的RAMI第四阶段,基于从(落叶和针叶林)林分以及欧洲和南非的测试地点收集的大量现场数据,构建了六个高度逼真的虚拟植物环境。 12个RT建模小组提供了对树冠比例(方向和半球积分)辐射量的仿真,以及从虚拟树冠内不同位置获取的一系列二进制半球照片。仿真结果显示,与最近针对RAMI-IV的抽象顶篷方案进行分析的结果相比,方差更大。机盖复杂性是导致操作员引起的错误的最可能的驱动因素之一,从而导致差异。引入了一致性测试,以将模拟结果分为可接受和不可接受的贡献。更具体地说,在使用ISO-13528的加权集成平均技术生成的参考数据的基础上,使用共享风险方法评估RI模型模拟的符合性。但是,使用法律计量学的概念,将显示此参考解决方案的不确定性,以防止对所选公差间隔进行模型性能的可信评估。作为替代方案,将提出受保护的风险决策规则,以明确说明与参考方法和候选方法相关的不确定性。受保护的接受方法和受保护的拒绝方法都用于针对预定义的公差区间对RT模型仿真的接受和/或拒绝做出自信的陈述。 (C)2015作者。由Elsevier Inc.发布

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