Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-18-0243.1 |
On the Dynamical Mechanisms Governing El Nino-Southern Oscillation Irregularity | |
Berner, Judith1; Sardeshmukh, Prashant D.2; Christensen, Hannah M.1 | |
2018-10-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:20页码:8401-8419 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | This study investigates the mechanisms by which short time-scale perturbations to atmospheric processes can affect El Nino-Southern Oscillation (ENSO) in climate models. To this end a control simulation of NCAR's Community Climate System Model is compared to a simulation in which the model's atmospheric diabatic tendencies are perturbed every time step using a Stochastically Perturbed Parameterized Tendencies (SPPT) scheme. The SPPT simulation compares better with ECMWF's twentieth-century reanalysis in having lower interannual sea surface temperature (SST) variability and more irregular transitions between El Nino and La Nina states, as expressed by a broader, less peaked spectrum. Reduced-order linear inverse models (LIMs) derived from the 1-month lag covariances of selected tropical variables yield good representations of tropical interannual variability in the two simulations. In particular, the basic features of ENSO are captured by the LIM's least damped oscillatory eigenmode. SPPT reduces the damping time scale of this eigenmode from 17 to 11 months, which is in better agreement with the 8 months obtained from reanalyses. This noise-induced stabilization is consistent with perturbations to the frequency of the ENSO eigenmode and explains the broadening of the SST spectrum (i.e., the greater ENSO irregularity). Although the improvement in ENSO shown here was achieved through stochastic physics parameterizations, it is possible that similar improvements could be realized through changes in deterministic parameterizations or higher numerical resolution. It is suggested that LIMs could provide useful insight into model sensitivities, uncertainties, and biases also in those cases. |
英文关键词 | ENSO Oscillations Model errors Stochastic models Interannual variability Tropical variability |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000444223000003 |
WOS关键词 | GENERAL-CIRCULATION MODEL ; SEA-SURFACE TEMPERATURES ; ENSEMBLE PREDICTION SYSTEM ; WESTERLY WIND EVENTS ; PATTERN-ANALYSIS ; ENSO PREDICTION ; TROPICAL PACIFIC ; PREDICTABILITY ; VARIABILITY ; NOISE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19536 |
专题 | 气候变化 |
作者单位 | 1.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 2.Cooperat Inst Res Environm Sci, Boulder, CO USA |
推荐引用方式 GB/T 7714 | Berner, Judith,Sardeshmukh, Prashant D.,Christensen, Hannah M.. On the Dynamical Mechanisms Governing El Nino-Southern Oscillation Irregularity[J]. JOURNAL OF CLIMATE,2018,31(20):8401-8419. |
APA | Berner, Judith,Sardeshmukh, Prashant D.,&Christensen, Hannah M..(2018).On the Dynamical Mechanisms Governing El Nino-Southern Oscillation Irregularity.JOURNAL OF CLIMATE,31(20),8401-8419. |
MLA | Berner, Judith,et al."On the Dynamical Mechanisms Governing El Nino-Southern Oscillation Irregularity".JOURNAL OF CLIMATE 31.20(2018):8401-8419. |
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