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Dynamical feedback between synoptic eddy and Low-Frequency Flow as Simulated by BCC_CSM1.1(m)

Advances in Atmospheric Sciences 2017年第11期34卷 1316-1332页

作者： Fang ZHOU Hong-Li REN Laboratory for Climate Studies National Climate CenterChina Meteorological Administrationbeijing 100081china CMA-NJU Joint Laboratory for Climate Prediction Studies School of Atmospheric SciencesNanjing Universitynanjing 210093china Department of Atmospheric Science School of Environmental StudiesChina University of Geosciencewuhan 430074china

Since the interaction between atmospheric synoptic eddy （SE）（2-8 days） activity and low-frequency （LF）（monthly） flow （referred to as SELF） plays an essential role in generating and maintaining dominant climate modes, an evaluation of the performance of BCC_CSMI.I（m） in simulating the SE feedback onto the LF flow is given in this paper. The model captures well the major spatial features of climatological eddy vorticity forcing, eddy-induced growth rate, and patterns of SELF feedback for the climate modes with large magnitudes in cold seasons and small magnitudes in warm seasons for both the Northern and Southern Hemisphere. As in observations, the eddy-induced growth rate and SELF feedback patterns in the model also show positive SE feedback. Overall, the relationships between SE and LF flow show that BCC_CSM1. l（m） satisfactorily captures the basic features of positive SE feedback, which demonstrates the simulation skill of the model for LF variability. Specifically, such an evaluation can help to find model biases of BCC_CSM1.1 （m） in simulating SE feedback, which will provide a reference for the model＇s application.

关键词： model evaluation synoptic eddy feedback simulation eddy vorticity forcing eddy-induced growth rate patternsof synoptic eddy feedback

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BCCCSM1.1(m)模式中大气低频流与天气涡旋反馈的模拟检验评估(英文)

BCCCSM1.1(m)模式中大气低频流与天气涡旋反馈的模拟检验评估(英...

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第34届中国气象学会年会

作者： Fang ZHOU Hong-Li REN Laboratory for Climate Studies National Climate Center China Meteorological Administration Nanjing University School of Atmospheric Sciences CMA-NJU Joint Laboratory for Climate Prediction Studies

Since the interaction between atmospheric synoptic eddy(SE)(2-8 days) activity and low-frequency(LF)(monthly) flow(referred to as SELF) plays an essential role in generating and maintaining dominant climate modes, an evaluation of the model performance by Beijing Climate Center Climate System Model version 1.1 with a moderate atmospheric resolution(BCCSM1.1(m)) in simulating the SE feedback ontothe LF flow is given in this paper. The model captures well the major spatial features of climatological eddy vorticity(EV) forcing, eddy-induced growth rate, and patterns of SELF feedback for the climate modes with large magnitudes in cold seasons and small magnitudes in warm seasons for both the Northern and Southern Hemisphere. eddy-induced growth rate and the SELF feedback patterns in the model also show positive SE feedback as well as observations. Overall, the relationships between SE and LF flow show that BCCSM1.1(m) satisfactorily captures the basic features of positive SE feedback, which demonstrates the simulation skill of the model for LF variability. Specifically, such an evaluation can help to find model biases of BCCSM1.1(m) in simulating SE feedback, which will provide a reference for the model application.

关键词： model evaluation synoptic eddy feedback simulation climatological mean EF forcing eddy-induced growth rate patterns of synoptic eddy feedback

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