Improving prediction skill of imperfect turbulent models through statistical response and informatio

来源 :Mathematics of Geophysical Llows and Turbulence(地球物理流动与湍流的数学 | 被引量 : 0次 | 上传用户：hqxt2009

【摘要】

：

　　Statistical uncertainty quantification(UQ)to the response to the change in forcing or uncertain initial data in complex turbulent systems requires the use o

【作者】

：

DiQi;

【机构】

：

Courant Institute of Mathematical Science New York University,USA

【出处】

：

Mathematics of Geophysical Llows and Turbulence(地球物理流动与湍流的数学

【发表日期】

：

2015年期

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　　Statistical uncertainty quantification(UQ)to the response to the change in forcing or uncertain initial data in complex turbulent systems requires the use of imperfect models due to both the lack of physical understanding and the overwhelming computational demands of Monte Carlo simulation with a large dimensional phase space.

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Improving prediction skill of imperfect turbulent models through statistical response and informatio

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