DOI: 10.1175/JCLI-D-18-0285.1
Scopus记录号: 2-s2.0-85058806614
论文题名: On the challenge for ENSO cycle prediction: An example from NCEP Climate Forecast System, version 2
作者: Hu Z.-Z. ; Kumar A. ; Zhu J. ; Peng P. ; Huang B.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2019
卷: 32, 期: 1 起始页码: 183
结束页码: 194
语种: 英语
Scopus关键词: Atmospheric pressure
; Climatology
; Forecasting
; Oceanography
; Surface waters
; Climate forecasts
; Ensemble members
; Evolutionary phase
; Linear correlation
; Neutral conditions
; Sea surface temperature anomalies
; Southern oscillation
; Spatial patterns
; Signal to noise ratio
; climate prediction
; El Nino-Southern Oscillation
; ensemble forecasting
; signal-to-noise ratio
; spatial variation
; Pacific Ocean
英文摘要: This work demonstrates the influence of the initial amplitude of the sea surface temperature anomaly (SSTA) associated with El Niño-Southern Oscillation (ENSO) following its evolutionary phase on the forecast skill of ENSO in retrospective predictions of the Climate Forecast System, version 2. It is noted that the prediction skill varies with the phase of the ENSO cycle. The averaged skill (linear correlation) of Niño-3.4 index is in a range of 0.15-0.55 for the amplitude of Niño-3.4 index smaller than 0.5°C (e.g., initial phase or neutral condition of ENSO), and 0.74-0.93 for the amplitude larger than 0.5°C (e.g., mature condition of ENSO) for 0-6-month lead predictions. The dependence of the prediction skills of ENSO on its phase is linked to the variation of signal-to-noise ratio (SNR). This variation is found to be mainly due to the changes in the amplitude of the signal (prediction of the ensemble mean) during different phases of the ENSO cycle, as the noise (forecast spread among the ensemble members), both in the Niño-3.4 region and the whole Pacific, does not depend much on the Niño-3.4 amplitude. It is also shown that the spatial pattern of unpredictable noise in the Pacific is similar to the predictable signal. These results imply that skillful prediction of theENSOcycle, either at the initial time of an event or during the transition phase of theENSOcycle, when the anomaly signal is weak and the SNR is small, is an inherent challenge. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117266
Appears in Collections: 气候变化与战略
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Recommended Citation:
Hu Z.-Z.,Kumar A.,Zhu J.,et al. On the challenge for ENSO cycle prediction: An example from NCEP Climate Forecast System, version 2[J]. Journal of Climate,2019-01-01,32(1)