TY - JOUR
T1 - Predictability of the Madden-Julian oscillation in the Intraseasonal Variability Hindcast Experiment (ISVHE)
AU - Neena, J. M.
AU - Lee, June Yi
AU - Waliser, Duane
AU - Wang, Bin
AU - Jiang, Xianan
PY - 2014
Y1 - 2014
N2 - The Madden-Julian oscillation (MJO) represents a primary source of predictability on the intraseasonal time scales and its influence extends from seasonal variations toweather and extreme events.While the last decade has witnessed marked improvement in dynamicalMJO prediction, an updated estimate of MJO predictability from a contemporary suite of dynamic models, in conjunction with an estimate of their corresponding prediction skill, is crucial for guiding future research and development priorities. In this study, the predictability of the boreal winter MJOis revisited based on the IntraseasonalVariability Hindcast Experiment (ISVHE), a set of dedicated extended-range hindcasts from eight different coupled models. Two estimates of MJO predictability are made, based on single-member and ensemble-mean hindcasts, giving values of 20-30 days and 35-45 days, respectively. Exploring the dependence of predictability on the phase of MJO during hindcast initiation reveals a slightly higher predictability for hindcasts initiated from MJO phases 2, 3, 6, or 7 in three of the models with higher prediction skill. The estimated predictability ofMJOinitiated in phases 2 and 3 (i.e., convection in IndianOcean with subsequent propagation acrossMaritimeContinent) being equal to or higher than otherMJOphases implies that the so-calledMaritime Continent prediction barrier may not actually be an intrinsic predictability limitation. For most of the models, the skill for single-member (ensemble mean) hindcasts is less than the estimated predictability limit by about 5-10 days (15-25 days), implying that significantly more skillful MJO forecasts can be afforded through further improvements of dynamical models and ensemble prediction systems (EPS).
AB - The Madden-Julian oscillation (MJO) represents a primary source of predictability on the intraseasonal time scales and its influence extends from seasonal variations toweather and extreme events.While the last decade has witnessed marked improvement in dynamicalMJO prediction, an updated estimate of MJO predictability from a contemporary suite of dynamic models, in conjunction with an estimate of their corresponding prediction skill, is crucial for guiding future research and development priorities. In this study, the predictability of the boreal winter MJOis revisited based on the IntraseasonalVariability Hindcast Experiment (ISVHE), a set of dedicated extended-range hindcasts from eight different coupled models. Two estimates of MJO predictability are made, based on single-member and ensemble-mean hindcasts, giving values of 20-30 days and 35-45 days, respectively. Exploring the dependence of predictability on the phase of MJO during hindcast initiation reveals a slightly higher predictability for hindcasts initiated from MJO phases 2, 3, 6, or 7 in three of the models with higher prediction skill. The estimated predictability ofMJOinitiated in phases 2 and 3 (i.e., convection in IndianOcean with subsequent propagation acrossMaritimeContinent) being equal to or higher than otherMJOphases implies that the so-calledMaritime Continent prediction barrier may not actually be an intrinsic predictability limitation. For most of the models, the skill for single-member (ensemble mean) hindcasts is less than the estimated predictability limit by about 5-10 days (15-25 days), implying that significantly more skillful MJO forecasts can be afforded through further improvements of dynamical models and ensemble prediction systems (EPS).
KW - Madden-Julian oscillation, Forecast verification/skill, Hindcasts, Coupled models, General circulation models, Tropical variability
UR - https://www.scopus.com/pages/publications/84902106535
U2 - 10.1175/JCLI-D-13-00624.1
DO - 10.1175/JCLI-D-13-00624.1
M3 - Article
AN - SCOPUS:84902106535
SN - 0894-8755
VL - 27
SP - 4531
EP - 4543
JO - Journal of Climate
JF - Journal of Climate
IS - 12
ER -