Indian Ocean wind speed variability and global teleconnection patterns

Summary: The influence of the local sea surface temperature (SST) and remote ENSO (El Niño-Southern Oscillation) indices on the wind speed (WS) data were explored for the Indian Ocean region. Relationships among the parameters were studied using spatial correlation plots and significant correlation...

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Published in:Oceanologia
Main Authors: Mourani Sinha, Somnath Jha, Paromita Chakraborty
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2020
Subjects:
Online Access:https://doi.org/10.1016/j.oceano.2019.10.002
https://doaj.org/article/3d132a326ad04a49941b2ed1537ed1c5
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spelling ftdoajarticles:oai:doaj.org/article:3d132a326ad04a49941b2ed1537ed1c5 2023-05-15T17:35:29+02:00 Indian Ocean wind speed variability and global teleconnection patterns Mourani Sinha Somnath Jha Paromita Chakraborty 2020-04-01T00:00:00Z https://doi.org/10.1016/j.oceano.2019.10.002 https://doaj.org/article/3d132a326ad04a49941b2ed1537ed1c5 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S0078323419300776 https://doaj.org/toc/0078-3234 0078-3234 doi:10.1016/j.oceano.2019.10.002 https://doaj.org/article/3d132a326ad04a49941b2ed1537ed1c5 Oceanologia, Vol 62, Iss 2, Pp 126-138 (2020) Oceanography GC1-1581 article 2020 ftdoajarticles https://doi.org/10.1016/j.oceano.2019.10.002 2022-12-31T03:15:50Z Summary: The influence of the local sea surface temperature (SST) and remote ENSO (El Niño-Southern Oscillation) indices on the wind speed (WS) data were explored for the Indian Ocean region. Relationships among the parameters were studied using spatial correlation plots and significant correlation ranges. Two months (July and January) representing opposite monsoon phases were selected for analysis for the period 1950–2016. There was a significant negative correlation between WS and SST over the Bay of Bengal (BOB) during July. Although different ENSO indices correlated differently in different areas of the Indian Ocean, the region off the coast of Sri Lanka was most significantly teleconnected. The southwest monsoon locally impacted the WS and SST relationship and the WS parameter was remotely teleconnected in both the monsoon seasons. Further empirical orthogonal function (EOF) analysis was applied on the 67 years WS data of the BOB region to extract the dominant mode representing maximum variability of the total variance. The temporal pattern of the first principal component (PC1) of WS data was linked to the North Atlantic Oscillations in January and the Atlantic Multidecadal Oscillation in July respectively. The continuous wavelet power spectra of the PC1 of WS showed significant regions in the 2–4-year band resembling the ENSO variability. Wavelet coherence applied between PC1 of WS and the ENSO indices showed greatest values for January in the 8–16-year band and for July in the 0–4-year band. A close relationship was established between the WS variability in BOB and the ENSO indices. Keywords: Wind speed, Sea surface temperature, Monsoon, Wavelet coherence, Indian Ocean, Global teleconnection Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Indian Oceanologia 62 2 126 138
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Oceanography
GC1-1581
spellingShingle Oceanography
GC1-1581
Mourani Sinha
Somnath Jha
Paromita Chakraborty
Indian Ocean wind speed variability and global teleconnection patterns
topic_facet Oceanography
GC1-1581
description Summary: The influence of the local sea surface temperature (SST) and remote ENSO (El Niño-Southern Oscillation) indices on the wind speed (WS) data were explored for the Indian Ocean region. Relationships among the parameters were studied using spatial correlation plots and significant correlation ranges. Two months (July and January) representing opposite monsoon phases were selected for analysis for the period 1950–2016. There was a significant negative correlation between WS and SST over the Bay of Bengal (BOB) during July. Although different ENSO indices correlated differently in different areas of the Indian Ocean, the region off the coast of Sri Lanka was most significantly teleconnected. The southwest monsoon locally impacted the WS and SST relationship and the WS parameter was remotely teleconnected in both the monsoon seasons. Further empirical orthogonal function (EOF) analysis was applied on the 67 years WS data of the BOB region to extract the dominant mode representing maximum variability of the total variance. The temporal pattern of the first principal component (PC1) of WS data was linked to the North Atlantic Oscillations in January and the Atlantic Multidecadal Oscillation in July respectively. The continuous wavelet power spectra of the PC1 of WS showed significant regions in the 2–4-year band resembling the ENSO variability. Wavelet coherence applied between PC1 of WS and the ENSO indices showed greatest values for January in the 8–16-year band and for July in the 0–4-year band. A close relationship was established between the WS variability in BOB and the ENSO indices. Keywords: Wind speed, Sea surface temperature, Monsoon, Wavelet coherence, Indian Ocean, Global teleconnection
format Article in Journal/Newspaper
author Mourani Sinha
Somnath Jha
Paromita Chakraborty
author_facet Mourani Sinha
Somnath Jha
Paromita Chakraborty
author_sort Mourani Sinha
title Indian Ocean wind speed variability and global teleconnection patterns
title_short Indian Ocean wind speed variability and global teleconnection patterns
title_full Indian Ocean wind speed variability and global teleconnection patterns
title_fullStr Indian Ocean wind speed variability and global teleconnection patterns
title_full_unstemmed Indian Ocean wind speed variability and global teleconnection patterns
title_sort indian ocean wind speed variability and global teleconnection patterns
publisher Elsevier
publishDate 2020
url https://doi.org/10.1016/j.oceano.2019.10.002
https://doaj.org/article/3d132a326ad04a49941b2ed1537ed1c5
geographic Indian
geographic_facet Indian
genre North Atlantic
genre_facet North Atlantic
op_source Oceanologia, Vol 62, Iss 2, Pp 126-138 (2020)
op_relation http://www.sciencedirect.com/science/article/pii/S0078323419300776
https://doaj.org/toc/0078-3234
0078-3234
doi:10.1016/j.oceano.2019.10.002
https://doaj.org/article/3d132a326ad04a49941b2ed1537ed1c5
op_doi https://doi.org/10.1016/j.oceano.2019.10.002
container_title Oceanologia
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container_issue 2
container_start_page 126
op_container_end_page 138
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