Wang Jianing, Lu Youyu, Wang Fan, Zhang Rong-Hua
Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
Laboratory for Ocean and Climate Dynamics, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.
Sci Rep. 2017 Mar 13;7(1):166. doi: 10.1038/s41598-017-00244-2.
The El Niño and Southern Oscillation (ENSO) is the most prominent sources of inter-annual climate variability. Related to the seasonal phase-locking, ENSO's prediction across the low-persistence barrier in the boreal spring remains a challenge. Here we identify regions where surface current variability influences the short-lead time predictions of the July Niño 3.4 index by applying a regression analysis. A highly influential region, related to the distribution of wind-stress curl and sea surface temperature, is located near the dateline and the southern edge of the South Equatorial Current. During El Niño years, a westward current anomaly in the identified high-influence region favours the accumulation of warm water in the western Pacific. The opposite occurs during La Niña years. This process is seen to serve as the "goal shot" for ENSO development, which provides an effective precursor for the prediction of the July Niño 3.4 index with a lead time of 2-4 months. The prediction skill based on surface current precursor beats that based on the warm water volume and persistence in the subsequent months after July. In particular, prediction based on surface current precursor shows skill in all years, while predictions based on other precursors show reduced skill after 2002.
厄尔尼诺与南方涛动(ENSO)是年际气候变化最显著的来源。与季节锁相相关,在北半球春季跨越低持续性障碍对ENSO进行预测仍然是一项挑战。在此,我们通过应用回归分析来确定表面海流变化影响7月尼诺3.4指数短期提前期预测的区域。一个与风应力旋度和海表面温度分布相关的高影响区域位于日界线附近和南赤道流的南部边缘。在厄尔尼诺年,所确定的高影响区域出现的向西海流异常有利于西太平洋暖水的积累。在拉尼娜年则情况相反。这一过程被视为ENSO发展的“临门一脚”,它为提前2 - 4个月预测7月尼诺3.4指数提供了一个有效的先兆。基于表面海流先兆的预测技巧在7月之后的后续月份超过了基于暖水体积和持续性的预测技巧。特别是,基于表面海流先兆的预测在所有年份都表现出技巧性,而基于其他先兆的预测在2002年之后技巧性降低。