Impact of model resolution and ensemble size on the performance of an Ensemble Prediction System
Impact of model resolution and ensemble size on the performance of an Ensemble Prediction System
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模型分辨率和集合大小对集合预测系统性能的影响
DOI：
10.1002/qj.49712455008
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发表时间：
1998
影响因子：
8.9
通讯作者：
Nils Wedi
中科院分区：
文献类型：
--
作者：
R. Buizza;T. Petroliagis;Tim N. Palmer;J. Barkmeijer;M. Hamrud;A. Hollingsworth;A. Simmons;Nils Wedi
本文报告了14例围手术期综合治疗。这些积分测试了集合大小增加和用于积分集合的模型分辨率增加的相对影响。使用各种统计测试对合奏进行评估。其中一些表明在合奏大小的增加的相对优势，而大多数测试表明，在模型分辨率的增加的相对优势。然而，总的来说，最好的性能是通过结合模型分辨率的增强（从T63L19到T106L31）和集合大小的增加（从32到50个成员）来获得的。
Ensemble integrations for 14 cases are described. These integrations test the relative impact of increase in ensemble size and in the resolution of the model used to integrate the ensemble. The ensembles are evaluated using a variety of statistical tests. Some of these indicate a relative advantage of an increase in ensemble size, whilst most tests suggest a relative advantage of an increase in model resolution. However, overall, the best performance was obtained by combining enhancement in model resolution (from T63L19 to T106L31) with an increase in ensemble size (from 32 to 50 members).