首页> 外文期刊>Monthly Weather Review >Strong ENSO Variability and a Super-ENSO Pair in the CSIRO Mark 3 Coupled Climate Model
【24h】

Strong ENSO Variability and a Super-ENSO Pair in the CSIRO Mark 3 Coupled Climate Model

机译:CSIRO Mark 3耦合气候模型中强大的ENSO变异性和Super-ENSO对

获取原文
获取原文并翻译 | 示例
       

摘要

Simulations of El Nino-Southern Oscillation (ENSO) variability with the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Mark 3 coupled climate model, which is not flux adjusted and has an ocean north-south resolution of approximately 0.9°, are described. Major indices, periodicity, and spatial patterns of the modeled ENSO compare well to those observed over the last 100 yr. This good simulation is achieved despite some deficiencies in the model climatology, in particular the climatological tropical Pacific sea surface temperature (SST). The model SST climatology has a "cold tongue" that is too strong and extends too far into the western equatorial Pacific, a common problem experienced by many climate models. Although this cold tongue problem also affects the model rainfall climatology over the tropical ocean, the ENSO-rainfall teleconnection pattern is realistically simulated, particularly over the Indonesian and northeast Australian regions, where in reality rainfall is significantly affected by ENSO cycles. Comparisons between modeled and observed equatorial thermocline structure reveal that the model thermocline depth (depth of the 20℃ isotherm) is shallower, whereas the spread or thickness (depth difference between 16° and 22℃ isotherms) of the modeled thermocline is greater, than the observed. The former is favorable, whereas the latter is unfavorable, for generating strong ENSO variability, because a shallower thermocline with smaller spread of isotherms and steeper slope makes it easier for the equatorial upwelling to draw the colder subther-mocline water to the surface. On balance, the model is capable of producing ENSO cycles with realistic amplitude. This model capability is further highlighted by what is called here a "super-ENSO" pair: a super-El Nino event followed by a super-La Nina event, both with a Nino-3.4 index (SST average over 5°S-5°N, 120°-170°W) exceeding 3℃ in amplitude. The pairing of the two superevents is unique, and the dynamics are explored. It is found that during the super-El Nino event, the surface zonal wind stress, SST, and the equatorial upwelling anomalies are proportionately large. In contrast, during the super-La Nina event, the response of SST anomalies to easterly and upwelling anomalies is disproportionately large. It is demonstrated that this exceptionally large cooling of SST is linked to an exceptionally strong shallowing of the equatorial thermocline depth, and that the shallowing is induced by the exceptionally strong westerly wind anomalies associated with the super-ENSO. In the context of the recently proposed recharge-oscillator paradigm, which is shown to operate in the present model, the strong shallowing can be seen as a result of the discharge of the equatorial Pacific warm water volume in response to the exceptionally strong westerly anomalies associated with the super-El Nino event.
机译:描述了利用英联邦科学和工业研究组织(CSIRO)Mark 3耦合气候模型对El Nino-南方涛动(ENSO)的变化进行的模拟,该模型未经通量调整,海洋南北分辨率约为0.9°。建模ENSO的主要指数,周期性和空间格局与最近100年的观测结果相比具有很好的对比性。尽管模型气候,特别是热带太平洋海表温度(SST)的气候有缺陷,但仍可以实现这种良好的模拟。 SST模式气候学的“冷舌”太强了,延伸到赤道西太平洋太远了,这是许多气候模式都遇到的普遍问题。尽管这种冷舌问题也影响了热带海洋上的模式降雨气候,但实际模拟了ENSO-降雨遥相关型,特别是在印度尼西亚和澳大利亚东北部地区,实际上,降雨受ENSO周期的影响很大。通过对模拟赤道跃线和观察到的赤道跃线结构进行比较,发现模型跃线深度(20℃等温线深度)较浅,而模拟跃线的展布或厚度(16°和22℃等温线深度差)大于赤道线。观测到的。前者有利于产生强烈的ENSO变异性,而后者不利于生成强烈的ENSO变异性,因为较浅的温跃层,等温线分布较小且坡度较陡,使赤道上升流更容易将较冷的thermo-mocline水吸引到地表。总而言之,该模型能够产生具有实际振幅的ENSO循环。通过所谓的“ super-ENSO”对进一步强调了该模型的功能:super-El Nino事件之后是super-La Nina事件,两者均具有Nino-3.4指数(SST平均值在5°S-5上) °N,120°-170°W)幅度超过3℃。这两个超事件的配对是唯一的,并探讨了动力学。发现在超级厄尔尼诺现象期间,地表纬向风应力,SST和赤道上升流异常成比例地变大。相反,在超级拉尼娜事件期间,SST异常对东风和上升流异常的响应异常大。事实证明,SST的这种异常大的冷却与赤道热跃层深度的异常强烈变浅有关,并且这种变浅是由与超级ENSO相关的异常强烈的西风异常引起的。在最近提出的在本模型中显示为运行的补给振荡范式的背景下,由于对异常强的西风异常的响应,赤道太平洋暖水量的排放可以看到强烈的浅水现象。与超级厄尔尼诺事件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号