Impact of the modulated annual cycle and intraseasonal oscillation on daily-to-interannual rainfall variability across monsoonal India

被引:28
|
作者
Moron, Vincent [1 ,2 ,3 ]
Robertson, Andrew W. [3 ]
Ghil, Michael [4 ,5 ,6 ,7 ,8 ]
机构
[1] Aix Marseille Univ, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence 4, France
[2] Inst Univ France, Paris, France
[3] Columbia Univ, Int Res Inst Climate & Soc IRI, Earth Inst, Palisades, NY USA
[4] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA
[5] Univ Calif Los Angeles, Inst Geophys & Planetary Phys, Los Angeles, CA 90095 USA
[6] Ecole Normale Super, Geosci Dept, F-75231 Paris, France
[7] Ecole Normale Super, Lab Meteorol Dynam, CNRS, F-75231 Paris, France
[8] Ecole Normale Super, IPSL, F-75231 Paris, France
基金
美国海洋和大气管理局;
关键词
Indian monsoon; Seasonal rainfall; Onset; Break; Markov chain; Hidden state; Singular spectrum analysis; ASIAN SUMMER MONSOON; HIDDEN MARKOV MODEL; OUTGOING LONGWAVE RADIATION; ORTHOGONAL FUNCTION-ANALYSIS; INTRA-SEASONAL OSCILLATIONS; NORTHERN-HEMISPHERE SUMMER; MADDEN-JULIAN OSCILLATIONS; SEA-SURFACE TEMPERATURES; SPATIAL COHERENCE; BOREAL SUMMER;
D O I
10.1007/s00382-011-1253-4
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Variability of the Indian summer monsoon is decomposed into an interannually modulated annual cycle (MAC) and a northward-propagating, intraseasonal (30-60-day) oscillation (ISO). To achieve this decomposition, we apply multi-channel singular spectrum analysis (M-SSA) simultaneously to unfiltered daily fields of observed outgoing long-wave radiation (OLR) and to reanalyzed 925-hPa winds over the Indian region, from 1975 to 2008. The MAC is essentially given by the year-to-year changes in the annual and semi-annual components; it displays a slow northward migration of OLR anomalies coupled with an alternation between the northeast winter and southwest summer monsoons. The impact of these oscillatory modes on rainfall is then analyzed using a 1-degree gridded daily data set, focusing on Monsoonal India (north of 17A degrees N and west of 90A degrees E) during the months of June to September. Daily rainfall variability is partitioned into three states using a Hidden Markov Model. Two of these states are shown to agree well with previous classifications of "active" and "break" phases of the monsoon, while the third state exhibits a dipolar east-west pattern with abundant rainfall east of about 77A degrees E and low rainfall to the west. Occurrence of the three rainfall states is found to be an asymmetric function of both the MAC and ISO components. On average, monsoon active phases are favored by large positive anomalies of MAC, and breaks by negative ones. ISO impact is decisive when the MAC is near neutral values during the onset and withdrawal phases of the monsoon. Active monsoon spells are found to require a synergy between the MAC and ISO, while the east-west rainfall dipole is less sensitive to interactions between the two. The driest years, defined from spatially averaged June-September rainfall anomalies, are found to be mostly a result of breaks occurring during the onset and withdrawal stages of the monsoon, e.g., mid-June to mid-July, and during September. These breaks are in turn associated with anomalously late MAC onset or early MAC withdrawal, often together with a large-amplitude, negative ISO event. The occurrence of breaks during the core of the monsoon-from late July to late August-is restricted to a few years when MAC was exceptionally weak, such as 1987 or 2002. Wet years are shown to be mostly associated with more frequent active spells and a stronger MAC than usual, especially at the end of the monsoon season. Taken together, our results suggest that monthly and seasonal precipitation predictability is higher in the early and late stages of the summer monsoon season.
引用
收藏
页码:2409 / 2435
页数:27
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