Pacific Ocean sea-surface temperature variability and predictability of rainfall in the early and late parts of the Indian summer monsoon season

被引:20
|
作者
Rajagopalan, Balaji [1 ,2 ]
Molnar, Peter [2 ,3 ]
机构
[1] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA
[2] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[3] Univ Colorado, Dept Geol Sci, Boulder, CO 80309 USA
基金
美国国家科学基金会;
关键词
Indian summer monsoon; Onset and withdrawal; Tropical Pacific SST-monsoon; teleconnections; INTERANNUAL VARIABILITY; SOUTHWEST MONSOON; ARABIAN SEA; EL-NINO; ONSET; DEFINITION; EVOLUTION; CHINA; ENSO; WITHDRAWAL;
D O I
10.1007/s00382-011-1194-y
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
For central India and its west coast, rainfall in the early (15 May-20 June) and late (15 September-20 October) monsoon season correlates with Pacific Ocean sea-surface temperature (SST) anomalies in the preceding month (April and August, respectively) sufficiently well, that those SST anomalies can be used to predict such rainfall. The patterns of SST anomalies that correlate best include the equatorial region near the dateline, and for the early monsoon season (especially since similar to 1980), a band of opposite correlation stretching from near the equator at 120A degrees E to similar to 25A degrees N at the dateline. Such correlations for both early and late monsoon rainfall and for both regions approach, if not exceed, 0.5. Although correlations between All India Summer Monsoon Rainfall and typical indices for the El Nio-Southern Oscillation (ENSO) commonly are stronger for the period before than since 1980, these correlations with early and late monsoon seasons suggest that ENSO continues to affect the monsoon in these seasons. We exploit these patterns to assess predictability, and we find that SSTs averages in specified regions of the Pacific Ocean in April (August) offer predictors that can forecast rainfall amounts in the early (late) monsoon season period with a similar to 25% improvement in skill relative to climatology. The same predictors offer somewhat less skill (similar to 20% better than climatology) for predicting the number of days in these periods with rainfall greater than 2.5 mm. These results demonstrate that although the correlation of ENSO indices with All India Rainfall has decreased during the past few decades, the connections with ENSO in the early and late parts have not declined; that for the early monsoon season, in fact, has grown stronger in recent decades.
引用
收藏
页码:1543 / 1557
页数:15
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