Benchmarking hydrological models for an uncertain future
Benchmarking hydrological models for an uncertain future
复制标题
为不确定的未来制定水文模型基准
DOI：
10.1002/hyp.14882
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发表时间：
2023
影响因子：
3.2
通讯作者：
Beven K
中科院分区：
文献类型：
--
作者：
Beven K
本评论讨论了当不同流域的数据集可能涉及认知不确定性时，用于不同目的的水文模型基准测试的框架。该方法可能会产生可用于预测的模型集合（包括不同类型的模型），但也将模型拒绝作为学习过程的开始，以提高理解。
This commentary discusses a framework for the benchmarking of hydrological models for different purposes when the datasets for different catchments might involve epistemic uncertainties. The approach might be expected to result in an ensemble of models that might be used in prediction (including models of different types) but also provides for model rejection to be the start of a learning process to improve understanding.