Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean

ABSTRACT This study investigates inter‐dependency between various wave parameters. It includes the mean wave direction ( MWD ), swell MWD , wind direction, maximum significant wave height ( MSWH ), resultant of wind direction and swell MWD , mean wave period ( MWP ), and peak wave period ( PWP ) usi...

Full description

Bibliographic Details
Published in:International Journal of Climatology
Main Authors: Gupta, Nitika, Bhaskaran, Prasad K.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2016
Subjects:
Online Access:http://dx.doi.org/10.1002/joc.4898
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.4898
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.4898
id crwiley:10.1002/joc.4898
record_format openpolar
spelling crwiley:10.1002/joc.4898 2024-06-02T08:14:50+00:00 Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean Gupta, Nitika Bhaskaran, Prasad K. 2016 http://dx.doi.org/10.1002/joc.4898 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.4898 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.4898 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 37, issue 6, page 3036-3043 ISSN 0899-8418 1097-0088 journal-article 2016 crwiley https://doi.org/10.1002/joc.4898 2024-05-03T11:51:30Z ABSTRACT This study investigates inter‐dependency between various wave parameters. It includes the mean wave direction ( MWD ), swell MWD , wind direction, maximum significant wave height ( MSWH ), resultant of wind direction and swell MWD , mean wave period ( MWP ), and peak wave period ( PWP ) using daily data from altimeter measurements, European Centre for Medium‐Range Weather Forecasts ( ECMWF ) Re‐Analysis Interim ( ERA ‐Interim), and ERA‐20C datasets in a changing climate for the past two decades in Indian Ocean region. It also examined the variability in monthly anomalies using linear circular correlation maps. The analysis used quality checked and well calibrated altimeter data from eight satellite missions for MSWH , and WAM (wave model) output from ERA ‐Interim and ERA‐20C datasets for other variables. Spatial variability of correlation coefficient maps explained their inter‐dependency. Directional statistics methods explain the directional wave characteristics. Correlation maps signify that regions over the western sectors of Indian Ocean and Bay of Bengal are swell dominant. Over these regions the swell MWD clearly dominated the total MWD (combined effects from wind‐sea and swells). For regions in Arabian Sea, the resultant of wind direction and swell MWD contributed about 91%, whereas contribution from swell MWD alone is about 86%. The variability in monthly anomaly MSWH exhibited a specific pattern that resembles the movement of synoptic systems from Southern Ocean propagating north‐eastwards reaching various destinations in the Bay of Bengal basin, having a strong positive correlation with MWD and swell MWD . Over the tropical South Indian Ocean ( TSIO ) region, the obtained feature correlates with the surface current pattern of Agulhas retroflection. These patterns are distinctly visible in the correlation maps between MSWH and resultant of wind direction and swell MWD as well wind direction monthly anomaly maps. For the North Indian Ocean an out of phase relation exists between the variability ... Article in Journal/Newspaper Southern Ocean Wiley Online Library Indian Southern Ocean International Journal of Climatology 37 6 3036 3043
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description ABSTRACT This study investigates inter‐dependency between various wave parameters. It includes the mean wave direction ( MWD ), swell MWD , wind direction, maximum significant wave height ( MSWH ), resultant of wind direction and swell MWD , mean wave period ( MWP ), and peak wave period ( PWP ) using daily data from altimeter measurements, European Centre for Medium‐Range Weather Forecasts ( ECMWF ) Re‐Analysis Interim ( ERA ‐Interim), and ERA‐20C datasets in a changing climate for the past two decades in Indian Ocean region. It also examined the variability in monthly anomalies using linear circular correlation maps. The analysis used quality checked and well calibrated altimeter data from eight satellite missions for MSWH , and WAM (wave model) output from ERA ‐Interim and ERA‐20C datasets for other variables. Spatial variability of correlation coefficient maps explained their inter‐dependency. Directional statistics methods explain the directional wave characteristics. Correlation maps signify that regions over the western sectors of Indian Ocean and Bay of Bengal are swell dominant. Over these regions the swell MWD clearly dominated the total MWD (combined effects from wind‐sea and swells). For regions in Arabian Sea, the resultant of wind direction and swell MWD contributed about 91%, whereas contribution from swell MWD alone is about 86%. The variability in monthly anomaly MSWH exhibited a specific pattern that resembles the movement of synoptic systems from Southern Ocean propagating north‐eastwards reaching various destinations in the Bay of Bengal basin, having a strong positive correlation with MWD and swell MWD . Over the tropical South Indian Ocean ( TSIO ) region, the obtained feature correlates with the surface current pattern of Agulhas retroflection. These patterns are distinctly visible in the correlation maps between MSWH and resultant of wind direction and swell MWD as well wind direction monthly anomaly maps. For the North Indian Ocean an out of phase relation exists between the variability ...
format Article in Journal/Newspaper
author Gupta, Nitika
Bhaskaran, Prasad K.
spellingShingle Gupta, Nitika
Bhaskaran, Prasad K.
Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean
author_facet Gupta, Nitika
Bhaskaran, Prasad K.
author_sort Gupta, Nitika
title Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean
title_short Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean
title_full Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean
title_fullStr Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean
title_full_unstemmed Inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the Indian Ocean
title_sort inter‐dependency of wave parameters and directional analysis of ocean wind‐wave climate for the indian ocean
publisher Wiley
publishDate 2016
url http://dx.doi.org/10.1002/joc.4898
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.4898
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.4898
geographic Indian
Southern Ocean
geographic_facet Indian
Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_source International Journal of Climatology
volume 37, issue 6, page 3036-3043
ISSN 0899-8418 1097-0088
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/joc.4898
container_title International Journal of Climatology
container_volume 37
container_issue 6
container_start_page 3036
op_container_end_page 3043
_version_ 1800738817090519040