Premium
Effects of Semistochastic Westerly Wind Bursts on ENSO Predictability
Author(s) -
Tan Xiaoxiao,
Tang Youmin,
Lian Tao,
Zhang Shouwen,
Liu Ting,
Chen Dake
Publication year - 2020
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2019gl086828
Subject(s) - climatology , el niño southern oscillation , thermocline , predictability , wind stress , environmental science , multivariate enso index , amplitude , meteorology , lead time , wind speed , climate model , geology , la niña , climate change , geography , physics , oceanography , quantum mechanics , marketing , business
Westerly wind bursts (WWBs) occurring over the tropical Pacific play an important role on El Niño‐Southern Oscillation (ENSO) dynamics. Currently, climate models have significant biases in their representation of WWBs, which may limit their ability to predict ENSO. In this study, we explore the possibility of improving ENSO prediction by introducing a semistochastic WWBs parameterization scheme into the Community Earth System Model (CESM). Three ensemble hindcasts, namely, the control run with the original CESM, the WWB run with parameterized WWBs, and the Non_WWB run with built‐in WWBs removed, are conducted for the period 1982–2016. We find that CESM with parameterized WWBs enables better ENSO prediction, especially for both amplitude and spatial distribution of eastern Pacific and central Pacific El Niño events. This improvement is related to more realistic representation of WWBs which leads to better prediction of surface wind stress anomalies and thermocline depth anomalies.