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...
Gespeichert in:
Veröffentlicht in: | Defense science journal 2019-03, Vol.69 (2), p.142-148 |
---|---|
Hauptverfasser: | , , |
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 < 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 & 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 < 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 & 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 & Technology</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & 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 & 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 & Aerospace Database</collection><collection>ProQuest Advanced Technologies & 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 < 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 & 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 |