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高低分辨率耦合模式对北赤道逆流模拟性能的比较分析

Comparison Between High- and Low-Resolution Coupled Models for North Equatorial Countercurrent Simulation Performance

  • 摘要: 北赤道逆流(North Equatorial Countercurrent, NECC)具有显著的年际变化,这种变化会对全球气候产生重要的影响。但目前不同分辨率的数值模式对NECC的模拟存在差异,为了了解该差异,本文通过对比FGOALS(Flexible Global Ocean−Atmosphere−Land System model)气候系统耦合模式高低分辨率版本FGOALS-f3-H和FGOALS-f3-L的模拟结果,并结合SODA(Simple Ocean Data Assimilation)同化数据,对1994~2014年间NECC气候平均态、年际变化特征及其与ENSO的具体联系进行了分析。本文采用了0°~10°N范围定义了模拟和再分析的NECC输运量、流轴位置以及风应力纬向输送,对比分析模拟和观测的NECC年际变化。高分辨率版本FGOALS-f3-H的海洋模式水平分辨率约为10 km,能够重现气候平均的NECC强度、位置及其与两支低纬度西边界流新几内亚沿岸流(New Guinean Coastal Current, NGCC)和棉兰老流(Mindanao Current, MC)之间的联系;而低分辨率版本FGOALS-f3-L的海洋模式水平分辨率约为100 km,其模拟的NECC存在强度弱、流幅宽、年际变化弱、深度浅等模拟偏差。此外,两个版本模拟的NECC年际变化也明显不同。在El Niño年,FGOALS-f3-H模拟的NECC向赤道方向移动,输运量减弱;FGOALS-f3-L模拟的NECC向赤道方向移动,输运量增强。进一步分析发现,高低分辨率版本结果差异主要集中在赤道0°~3°N区域,后者模拟的NECC可以向南扩展到赤道,而前者则主要位于2°N以北。在3°N~10°N范围内,高低分辨率模拟的纬向输运与由风应力旋度反演的结果显著相关,相关系数分别可以达到0.67和0.64,表明风应力旋度是该区域纬向输运的关键影响因子。

     

    Abstract: The North Equatorial Countercurrent (NECC) exhibits significant interannual variation, drastically affecting the global climate. This study compared the simulation results of the high-resolution model FGOALS-f3-H and the low-resolution model FGOALS-f3-L, both part of the flexible global ocean–atmosphere–land system model (FGOALS) climate system. The simulations, combined with Simple Ocean Data Assimilation (SODA) assimilation data, examine NECC’s average climate state, interannual variation characteristics, and its specific relationship with El Niño Southern Oscillation (ENSO) from 1994 to 2014. The study compared and analyzed the simulated and observed interannual changes in the NECC, specifically examining wind stress zonal transport, flow axis location, and NECC’s movement within the range of 0°–10°N. The ocean model of FGOALS-f3-H, with a horizontal resolution of approximately 10 km, effectively simulates the NECC’s strength, location, and connection with the New Guinea Coastal Current and Mindanao Current, two low-latitude western boundary currents. However, the low-resolution model FGOALS-f3-L, with a horizontal resolution of approximately 100 km, shows biases in the NECC, such as weak intensity, wide width, weak interannual variations, and shallow depth. Additionally, the interannual variations of the NECC simulated by the two versions demonstrated significant differences. During El Niño years, the NECC simulated by FGOALS-f3-H moved toward the equator but with decreased strength, while FGOALS-f3-L shifted towards the equator with increased transport volume. Differences between the high- and low-resolution models are more pronounced near the equator (0°–3°N), where FGOALS-f3-L may simulate the NECC extending southward to the equator, unlike FGOALS-f3-H, which positions it primarily north of 2°N. In the range of 0°–3°N, both models exhibit a significant correlation in zonal transport, with correlation coefficients of 0.67 and 0.64, suggesting that wind stress curl is the primary factor influencing zonal transport in this region.

     

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