Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach
A better understanding of precipitation dynamics in the Indian subcontinent is required since India’s society depends heavily on reliable monsoon forecasts. We introduce a non-linear, multiscale approach, based on wavelets and event synchronization, for unravelling teleconnection influences on preci...
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ftunivmaynooth:oai:mural.maynoothuniversity.ie:13721 2023-05-15T17:33:07+02:00 Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach Kurths, Jurgen Agarwal, Ankit Shukla, Roopam Marwan, Norbert Rathinasamy, Maheswaran Caesar, Levke Krishnan, Raghavan Merz, Bruno 2019 text https://mural.maynoothuniversity.ie/13721/ https://mural.maynoothuniversity.ie/13721/1/LC_unravelling.pdf en eng American Geophysical Union https://mural.maynoothuniversity.ie/13721/1/LC_unravelling.pdf Kurths, Jurgen and Agarwal, Ankit and Shukla, Roopam and Marwan, Norbert and Rathinasamy, Maheswaran and Caesar, Levke and Krishnan, Raghavan and Merz, Bruno (2019) Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach. Nonlinear Processes in Geophysics, 26. pp. 251-266. ISSN 1023-5809 Article PeerReviewed 2019 ftunivmaynooth 2022-06-13T18:48:02Z A better understanding of precipitation dynamics in the Indian subcontinent is required since India’s society depends heavily on reliable monsoon forecasts. We introduce a non-linear, multiscale approach, based on wavelets and event synchronization, for unravelling teleconnection influences on precipitation. We consider those climate patterns with the highest relevance for Indian precipitation. Our results suggest significant influences which are not well captured by only the wavelet coherence analysis, the state-of-the-art method in understanding linkages at multiple timescales.We find substantial variation across India and across timescales. In particular, El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) mainly influence precipitation in the south-east at interannual and decadal scales, respectively, whereas the North Atlantic Oscillation (NAO) has a strong connection to precipitation, particularly in the northern regions. The effect of the Pacific Decadal Oscillation (PDO) stretches across the whole country, whereas the Atlantic Multidecadal Oscillation (AMO) influences precipitation particularly in the central arid and semi-arid regions. The proposed method provides a powerful approach for capturing the dynamics of precipitation and, hence, helps improve precipitation forecasting. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Maynooth University ePrints and eTheses Archive (National University of Ireland) Indian Pacific |
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Open Polar |
collection |
Maynooth University ePrints and eTheses Archive (National University of Ireland) |
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ftunivmaynooth |
language |
English |
description |
A better understanding of precipitation dynamics in the Indian subcontinent is required since India’s society depends heavily on reliable monsoon forecasts. We introduce a non-linear, multiscale approach, based on wavelets and event synchronization, for unravelling teleconnection influences on precipitation. We consider those climate patterns with the highest relevance for Indian precipitation. Our results suggest significant influences which are not well captured by only the wavelet coherence analysis, the state-of-the-art method in understanding linkages at multiple timescales.We find substantial variation across India and across timescales. In particular, El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) mainly influence precipitation in the south-east at interannual and decadal scales, respectively, whereas the North Atlantic Oscillation (NAO) has a strong connection to precipitation, particularly in the northern regions. The effect of the Pacific Decadal Oscillation (PDO) stretches across the whole country, whereas the Atlantic Multidecadal Oscillation (AMO) influences precipitation particularly in the central arid and semi-arid regions. The proposed method provides a powerful approach for capturing the dynamics of precipitation and, hence, helps improve precipitation forecasting. |
format |
Article in Journal/Newspaper |
author |
Kurths, Jurgen Agarwal, Ankit Shukla, Roopam Marwan, Norbert Rathinasamy, Maheswaran Caesar, Levke Krishnan, Raghavan Merz, Bruno |
spellingShingle |
Kurths, Jurgen Agarwal, Ankit Shukla, Roopam Marwan, Norbert Rathinasamy, Maheswaran Caesar, Levke Krishnan, Raghavan Merz, Bruno Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach |
author_facet |
Kurths, Jurgen Agarwal, Ankit Shukla, Roopam Marwan, Norbert Rathinasamy, Maheswaran Caesar, Levke Krishnan, Raghavan Merz, Bruno |
author_sort |
Kurths, Jurgen |
title |
Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach |
title_short |
Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach |
title_full |
Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach |
title_fullStr |
Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach |
title_full_unstemmed |
Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach |
title_sort |
unravelling the spatial diversity of indian precipitation teleconnections via a non-linear multi-scale approach |
publisher |
American Geophysical Union |
publishDate |
2019 |
url |
https://mural.maynoothuniversity.ie/13721/ https://mural.maynoothuniversity.ie/13721/1/LC_unravelling.pdf |
geographic |
Indian Pacific |
geographic_facet |
Indian Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
https://mural.maynoothuniversity.ie/13721/1/LC_unravelling.pdf Kurths, Jurgen and Agarwal, Ankit and Shukla, Roopam and Marwan, Norbert and Rathinasamy, Maheswaran and Caesar, Levke and Krishnan, Raghavan and Merz, Bruno (2019) Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach. Nonlinear Processes in Geophysics, 26. pp. 251-266. ISSN 1023-5809 |
_version_ |
1766131516689088512 |