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  Fingerprint of volcanic forcing on the ENSO–Indian Monsoon coupling

Singh, M., Krishnan, R., Goswami, B., Choudhury, A. D., Swapna, P., Vellore, R., Prajeesh, A. G., Sandeep, N., Venkataraman, C., Donner, R. V., Marwan, N., Kurths, J. (in press): Fingerprint of volcanic forcing on the ENSO–Indian Monsoon coupling. - Science Advances.

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Singh, M.1, Author
Krishnan, R.1, Author
Goswami, Bedartha2, Author              
Choudhury, A. D.1, Author
Swapna, P.1, Author
Vellore, R.1, Author
Prajeesh, A. G.1, Author
Sandeep, N.1, Author
Venkataraman, C.1, Author
Donner, Reik V.2, Author              
Marwan, Norbert2, Author              
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Coupling of the El Niño-Southern Oscillation (ENSO) and Indian monsoon (IM) is central to 23 seasonal predictions of summer monsoon rainfall over the Indian subcontinent, although a non-24 stationary relationship between the two nonlinear phenomena can limit seasonal predictability. 25 Radiative effects of volcanic aerosols injected into the stratosphere during large volcanic 26 eruptions (LVEs) tend to alter ENSO evolution, however, their impact on ENSO-IM coupling 27 remains unclear. Here we investigate how LVEs influence the nonlinear behavior of the ENSO 28 and IM dynamical systems using historical data, 25 paleoclimate reconstructions, last-29 millennium climate simulations, large-ensemble targeted climate sensitivity experiments and 30 advanced analyses techniques. Our findings show that LVEs promote a significantly enhanced 31 phase-synchronization of the ENSO and IM oscillations, due to an increase in the angular 32 frequency of ENSO. The results also shed innovative insights into the physical mechanism 33 Science Advances Submitted Manuscript: Confidential Page 2 of 42 underlying the LVE-induced enhancement of ENSO-IM coupling and strengthen the prospects 34 for improved seasonal monsoon predictions.

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 Dates: 2020-08-01
 Publication Status: Accepted / In Press
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 Rev. Type: Peer
 Identifiers: PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
MDB-ID: pending
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Title: Science Advances
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/161027