Observed Inter annual Variability of Upwelling Characteristics during 2016 2017 A Study using Princeton Ocean Model

Oceanographic observations carried out during 2016 and 2017 onboard INS Sagardhwani in the Southeastern Arabian sea are used to study the inter-annual variability of the upwelling. In 2016, the strong upwelling signatures are noticed in the observations (SST < 27°C and strong up-slopping of isoth...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Defense science journal 2019-03, Vol.69 (2), p.142-148
Hauptverfasser: Anand, P., Albert, P. Issac, Rao, A. Raghunadha
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 148
container_issue 2
container_start_page 142
container_title Defense science journal
container_volume 69
creator Anand, P.
Albert, P. Issac
Rao, A. Raghunadha
description Oceanographic observations carried out during 2016 and 2017 onboard INS Sagardhwani in the Southeastern Arabian sea are used to study the inter-annual variability of the upwelling. In 2016, the strong upwelling signatures are noticed in the observations (SST < 27°C and strong up-slopping of isotherms) as well as in the satellite derived sea level anomaly data. Whereas in 2017 the low sea level in June (-2 cm) are weakened during the mid of July (+3 cm) along the southern track (8 °N and 9 °N). This decrease in the strength in 2017 can be attributed to two major reasons. One is the presence of an anti-cyclonic eddy along the coast (8.5 °N, 76.5 °E) weakens the upwelling processes and second is the weak northerly component of the wind compared to 2016. In addition, Lakshadweep low is less prominent and situated towards the southern side (around 7°N) of its usual region of occurrence in 2017. The inter-annual variability of upwelling during July 2016 and 2017 is investigated using the 3D ocean model Princeton Ocean Model. Experiments with model in different combinations of forcing reveals that the alongshore wind component is the major parameter influencing the upwelling characteristics during these periods.
doi_str_mv 10.14429/dsj.69.14218
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2266528563</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2266528563</sourcerecordid><originalsourceid>FETCH-LOGICAL-c265t-1f6986ebc9a316c5322b5dd63e1195e58e281eff043c5c67ffa87764545ccb1a3</originalsourceid><addsrcrecordid>eNotkN1LwzAUxYMoqNNH3wM-V5M0uU0ex_BjMJmgk72FNL3RjtrOpFX239s5X-7HuT_OhUPIFWc3XEphbqu0uQEzLoLrI3LGTAGZBLk-HmfGeVZIvT4l5yltGFOm0OyMpGWZMH5jRedtj5G6th1cQ99crF1ZN3W_o12gq-0PNk3dvtPZh4vOj2Sd-tonWg1xLwvGYV8KOqUv_VDt6JD2-vN49dh3LV16dC196ipsLshJcE3Cy_8-Iav7u9fZY7ZYPsxn00XmBag-4wGMBiy9cTkHr3IhSlVVkCPnRqHSKDTHEJjMvfJQhOB0UYBUUnlfcpdPyPXBdxu7rwFTbzfdENvxpRUCQAmtIB-p7ED52KUUMdhtrD9d3FnO7F-udszVgrF_uea_P_prQw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2266528563</pqid></control><display><type>article</type><title>Observed Inter annual Variability of Upwelling Characteristics during 2016 2017 A Study using Princeton Ocean Model</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Anand, P. ; Albert, P. Issac ; Rao, A. Raghunadha</creator><creatorcontrib>Anand, P. ; Albert, P. Issac ; Rao, A. Raghunadha</creatorcontrib><description>Oceanographic observations carried out during 2016 and 2017 onboard INS Sagardhwani in the Southeastern Arabian sea are used to study the inter-annual variability of the upwelling. In 2016, the strong upwelling signatures are noticed in the observations (SST &lt; 27°C and strong up-slopping of isotherms) as well as in the satellite derived sea level anomaly data. Whereas in 2017 the low sea level in June (-2 cm) are weakened during the mid of July (+3 cm) along the southern track (8 °N and 9 °N). This decrease in the strength in 2017 can be attributed to two major reasons. One is the presence of an anti-cyclonic eddy along the coast (8.5 °N, 76.5 °E) weakens the upwelling processes and second is the weak northerly component of the wind compared to 2016. In addition, Lakshadweep low is less prominent and situated towards the southern side (around 7°N) of its usual region of occurrence in 2017. The inter-annual variability of upwelling during July 2016 and 2017 is investigated using the 3D ocean model Princeton Ocean Model. Experiments with model in different combinations of forcing reveals that the alongshore wind component is the major parameter influencing the upwelling characteristics during these periods.</description><identifier>ISSN: 0011-748X</identifier><identifier>EISSN: 0976-464X</identifier><identifier>DOI: 10.14429/dsj.69.14218</identifier><language>eng</language><publisher>New Delhi: Defence Scientific Information &amp; Documentation Centre</publisher><subject>Annual variations ; Ocean models ; Sea level ; Three dimensional models ; Upwelling</subject><ispartof>Defense science journal, 2019-03, Vol.69 (2), p.142-148</ispartof><rights>2019. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/2.5/in (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c265t-1f6986ebc9a316c5322b5dd63e1195e58e281eff043c5c67ffa87764545ccb1a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids></links><search><creatorcontrib>Anand, P.</creatorcontrib><creatorcontrib>Albert, P. Issac</creatorcontrib><creatorcontrib>Rao, A. Raghunadha</creatorcontrib><title>Observed Inter annual Variability of Upwelling Characteristics during 2016 2017 A Study using Princeton Ocean Model</title><title>Defense science journal</title><description>Oceanographic observations carried out during 2016 and 2017 onboard INS Sagardhwani in the Southeastern Arabian sea are used to study the inter-annual variability of the upwelling. In 2016, the strong upwelling signatures are noticed in the observations (SST &lt; 27°C and strong up-slopping of isotherms) as well as in the satellite derived sea level anomaly data. Whereas in 2017 the low sea level in June (-2 cm) are weakened during the mid of July (+3 cm) along the southern track (8 °N and 9 °N). This decrease in the strength in 2017 can be attributed to two major reasons. One is the presence of an anti-cyclonic eddy along the coast (8.5 °N, 76.5 °E) weakens the upwelling processes and second is the weak northerly component of the wind compared to 2016. In addition, Lakshadweep low is less prominent and situated towards the southern side (around 7°N) of its usual region of occurrence in 2017. The inter-annual variability of upwelling during July 2016 and 2017 is investigated using the 3D ocean model Princeton Ocean Model. Experiments with model in different combinations of forcing reveals that the alongshore wind component is the major parameter influencing the upwelling characteristics during these periods.</description><subject>Annual variations</subject><subject>Ocean models</subject><subject>Sea level</subject><subject>Three dimensional models</subject><subject>Upwelling</subject><issn>0011-748X</issn><issn>0976-464X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNotkN1LwzAUxYMoqNNH3wM-V5M0uU0ex_BjMJmgk72FNL3RjtrOpFX239s5X-7HuT_OhUPIFWc3XEphbqu0uQEzLoLrI3LGTAGZBLk-HmfGeVZIvT4l5yltGFOm0OyMpGWZMH5jRedtj5G6th1cQ99crF1ZN3W_o12gq-0PNk3dvtPZh4vOj2Sd-tonWg1xLwvGYV8KOqUv_VDt6JD2-vN49dh3LV16dC196ipsLshJcE3Cy_8-Iav7u9fZY7ZYPsxn00XmBag-4wGMBiy9cTkHr3IhSlVVkCPnRqHSKDTHEJjMvfJQhOB0UYBUUnlfcpdPyPXBdxu7rwFTbzfdENvxpRUCQAmtIB-p7ED52KUUMdhtrD9d3FnO7F-udszVgrF_uea_P_prQw</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Anand, P.</creator><creator>Albert, P. Issac</creator><creator>Rao, A. Raghunadha</creator><general>Defence Scientific Information &amp; Documentation Centre</general><scope>AAYXX</scope><scope>CITATION</scope><scope>04Q</scope><scope>04U</scope><scope>04W</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>7XB</scope><scope>88F</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M1Q</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20190301</creationdate><title>Observed Inter annual Variability of Upwelling Characteristics during 2016 2017 A Study using Princeton Ocean Model</title><author>Anand, P. ; Albert, P. Issac ; Rao, A. Raghunadha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-1f6986ebc9a316c5322b5dd63e1195e58e281eff043c5c67ffa87764545ccb1a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Annual variations</topic><topic>Ocean models</topic><topic>Sea level</topic><topic>Three dimensional models</topic><topic>Upwelling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anand, P.</creatorcontrib><creatorcontrib>Albert, P. Issac</creatorcontrib><creatorcontrib>Rao, A. Raghunadha</creatorcontrib><collection>CrossRef</collection><collection>India Database</collection><collection>India Database: History</collection><collection>India Database: Science &amp; Technology</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Military Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Defense science journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anand, P.</au><au>Albert, P. Issac</au><au>Rao, A. Raghunadha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Observed Inter annual Variability of Upwelling Characteristics during 2016 2017 A Study using Princeton Ocean Model</atitle><jtitle>Defense science journal</jtitle><date>2019-03-01</date><risdate>2019</risdate><volume>69</volume><issue>2</issue><spage>142</spage><epage>148</epage><pages>142-148</pages><issn>0011-748X</issn><eissn>0976-464X</eissn><abstract>Oceanographic observations carried out during 2016 and 2017 onboard INS Sagardhwani in the Southeastern Arabian sea are used to study the inter-annual variability of the upwelling. In 2016, the strong upwelling signatures are noticed in the observations (SST &lt; 27°C and strong up-slopping of isotherms) as well as in the satellite derived sea level anomaly data. Whereas in 2017 the low sea level in June (-2 cm) are weakened during the mid of July (+3 cm) along the southern track (8 °N and 9 °N). This decrease in the strength in 2017 can be attributed to two major reasons. One is the presence of an anti-cyclonic eddy along the coast (8.5 °N, 76.5 °E) weakens the upwelling processes and second is the weak northerly component of the wind compared to 2016. In addition, Lakshadweep low is less prominent and situated towards the southern side (around 7°N) of its usual region of occurrence in 2017. The inter-annual variability of upwelling during July 2016 and 2017 is investigated using the 3D ocean model Princeton Ocean Model. Experiments with model in different combinations of forcing reveals that the alongshore wind component is the major parameter influencing the upwelling characteristics during these periods.</abstract><cop>New Delhi</cop><pub>Defence Scientific Information &amp; Documentation Centre</pub><doi>10.14429/dsj.69.14218</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0011-748X
ispartof Defense science journal, 2019-03, Vol.69 (2), p.142-148
issn 0011-748X
0976-464X
language eng
recordid cdi_proquest_journals_2266528563
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Annual variations
Ocean models
Sea level
Three dimensional models
Upwelling
title Observed Inter annual Variability of Upwelling Characteristics during 2016 2017 A Study using Princeton Ocean Model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T16%3A15%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Observed%20Inter%20annual%20Variability%20of%20Upwelling%20Characteristics%20during%202016%202017%20A%20Study%20using%20Princeton%20Ocean%20Model&rft.jtitle=Defense%20science%20journal&rft.au=Anand,%20P.&rft.date=2019-03-01&rft.volume=69&rft.issue=2&rft.spage=142&rft.epage=148&rft.pages=142-148&rft.issn=0011-748X&rft.eissn=0976-464X&rft_id=info:doi/10.14429/dsj.69.14218&rft_dat=%3Cproquest_cross%3E2266528563%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2266528563&rft_id=info:pmid/&rfr_iscdi=true