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  Interconnection between the Indian and the East Asian Summer Monsoon: spatial synchronization patterns of extreme rainfall events

Gupta, S., Su, Z., Boers, N., Kurths, J., Marwan, N., Pappenberger, F. (2023): Interconnection between the Indian and the East Asian Summer Monsoon: spatial synchronization patterns of extreme rainfall events. - International Journal of Climatology, 43, 2, 1034-1049.
https://doi.org/10.1002/joc.7861

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 ???ViewItemFull_lblCreators???:
Gupta, Shraddha1, ???ENUM_CREATORROLE_AUTHOR???                 
Su, Zhen1, ???ENUM_CREATORROLE_AUTHOR???           
Boers, Niklas1, ???ENUM_CREATORROLE_AUTHOR???                 
Kurths, Jürgen1, ???ENUM_CREATORROLE_AUTHOR???           
Marwan, Norbert1, ???ENUM_CREATORROLE_AUTHOR???                 
Pappenberger, Florian 2, ???ENUM_CREATORROLE_AUTHOR???
???ViewItemFull_lblAffiliations???:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 ???ViewItemFull_lblAbstract???: A deeper understanding of the intricate relationship be-
tween the two components of the Asian Summer Monsoon
(ASM) – the Indian Summer Monsoon (ISM) and the East
Asian Summer Monsoon (EASM) – is crucial to improve the
subseasonal forecasting of extreme precipitation events.
Using an innovative complex network-based approach, we
identify two dominant synchronization pathways between
ISM and EASM – a southern mode between the Arabian
Sea and south-eastern China occurring in June, and a north-
ern mode between the core ISM zone and northern China
which peaks in July – and their associated large-scale at-
mospheric circulation patterns. Furthermore, we discover
that certain phases of the Madden-Julian oscillation and
the lower frequency mode of the boreal summer intrasea-
sonal oscillation (BSISO) seem to favour the overall synchro-
nization of extreme rainfall events between ISM and EASM
while the higher frequency mode of the BSISO is likely to
support the shifting between the modes of ISM-EASM con-
nection.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2022-09-072022-09-132023-02
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: FutureLab - Artificial Intelligence in the Anthropocene
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Complex Networks
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Extremes
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Monsoon
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Nonlinear Data Analysis
???ENUM_IDENTIFIERTYPE_REGIONALK???: Asia
???ENUM_IDENTIFIERTYPE_MDB_ID???: yes - 3365
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???ENUM_IDENTIFIERTYPE_DOI???: 10.1002/joc.7861
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???ViewItemFull_lblSourceTitle???: International Journal of Climatology
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus, p3
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Wiley