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Dynamic predictability of intraseasonal variability associated with the Asian summer monsoon
Author(s) -
Waliser D. E.,
Stern W.,
Schubert S.,
Lau K. M.
Publication year - 2003
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1256/qj.02.51
Subject(s) - predictability , climatology , environmental science , monsoon , empirical orthogonal functions , oscillation (cell signaling) , diurnal cycle , atmospheric sciences , meteorology , mathematics , statistics , physics , geology , biology , genetics
The objective of this study is to estimate the limit of dynamical predictability for the tropical intraseasonal oscillation (ISO) associated with the Asian summer monsoon. Ensembles of ‘twin’ predictability experiments were carried out with the National Aeronautics and Space Administration Goddard Laboratory for the Atmospheres atmospheric general circulation model using specified annual cycle sea surface temperatures. Initial conditions were taken from a 10‐year control simulation during periods of strong ISO activity identified via extended empirical orthogonal function analysis of 30–90 day band‐passed tropical rainfall. From this analysis, 21 cases were chosen for each of four distinct phases of the ISO cycle, making 84 cases in total. Two different sets of small random perturbations were added to these 84 initial states. Simulations were then performed for 90 days from each of these 168 perturbed initial conditions. A measure of potential predictability was constructed based on a ratio of the signal associated with the ISO, in terms of rainfall or 200 hPa velocity potential (VP200), and the mean‐square difference between sets of twin forecasts. This ratio indicates that the limit of predictability for this model's ISO extends out to about 25 days for VP200 and to about 15 days for rainfall. The predictability measure shows modest dependence on the strength of the ISO events, with stronger events having a greater limit of predictability by a few days. It also exhibits a dependence on the phase of the ISO, with greater predictability for the convective phase at short (≲5 days) lead times and for the suppressed phase at longer (≳15 days) lead times. The implications of these results as well as their associated model and analysis caveats are discussed. Copyright © 2003 Royal Meteorological Society