Storm types in Bangladesh: duration, intensity and area of intra-daily wet events

被引:2
|
作者
Moron, Vincent [1 ,2 ]
Acharya, Nachiketa [3 ,4 ]
Hassan, S. M. Quamrul [5 ]
机构
[1] Aix Marseille Univ, CNRS, IRD, INRAE,Coll France,CEREGE, Aix En Provence, France
[2] Columbia Univ, IRI, Palisades, NY USA
[3] Univ Colorado, CIRES, Boulder, CO 80309 USA
[4] NOAA, Phys Sci Lab, Boulder, CO USA
[5] Bangladesh Meteorol Dept, Dhaka, Bangladesh
关键词
3-hourly rainfall; clustering; predictability; LOW-PRESSURE SYSTEMS; SUMMER MONSOON; INTERANNUAL VARIABILITY; INDIAN MONSOON; INTRASEASONAL OSCILLATION; RAINFALL EVENTS; WEATHER REGIMES;
D O I
10.1002/joc.7835
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We explore the characteristics of 96,190 wet events (WEs) defined as consecutive 3-hourly rainfall >= 1 mm/3 hr from a network of 34 stations across Bangladesh. Nearly 60% (5%) of WEs last <= 3 (>= 15) hr. The WEs are dynamically clustered into four "canonical" storm types (STs), mostly discretized by their duration, but also their mean and maximal intensity. While durations, total amounts and wet contiguous areas of WEs are positively related, their mean intensity is nearly independent of them. Approximately 60% of WEs are associated with ST#1, characterized by short and small WEs and very low rainfall amounts (usually <10 mm), , 30% of WEs are associated with either (ST#2) short/small WEs but with intense rainfall, probably mostly related to scattered thunderstorms or (ST#3) longer/larger WEs but with less intense rainfall. The last ST (ST#4) is rare (similar to 6%), related to very long durations and large wet areas and includes the wettest WEs. It is especially frequent over southeastern Bangladesh. ST#2-ST#4 contribute almost equally to the localscale total amount of rainfall (27-29% each in mean) while ST#1, despite its individual low rainfall amount, still includes similar to 15% of it. ST#2 (ST#4) is related to the highest probability of occurrence of 3-hourly (daily) extremes. ST#4 occurrence is the most impacted by synoptic Indian lows/depressions as well as the main modes of intra-seasonal variation, while ST#1 and ST#2 are also significantly impacted by intra-seasonal modes but in reverse manner than ST#4.
引用
收藏
页码:850 / 873
页数:24
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