An improved algorithm for remotely sensing marine dissolved organic carbon: Climatology in the northern South China Sea shelf-sea and adjacent waters

By using field in situ observations, data from the NOMAD database, and remotely sensed data from MODIS-Aqua, an improved algorithm has been developed for estimating the surface concentrations of dissolved organic carbon (DOC) in the Northern South China Sea Shelf-sea (NoSoCS) and adjacent waters thr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Deep-sea research. Part II, Topical studies in oceanography Topical studies in oceanography, 2015-07, Vol.117, p.131-142
Hauptverfasser: Pan, Xiaoju, Wong, George T.F.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 142
container_issue
container_start_page 131
container_title Deep-sea research. Part II, Topical studies in oceanography
container_volume 117
creator Pan, Xiaoju
Wong, George T.F.
description By using field in situ observations, data from the NOMAD database, and remotely sensed data from MODIS-Aqua, an improved algorithm has been developed for estimating the surface concentrations of dissolved organic carbon (DOC) in the Northern South China Sea Shelf-sea (NoSoCS) and adjacent waters through a combination of the remotely sensed sea-surface temperature (SST) and the absorption coefficient of colored dissolved organic matter (CDOM). Unlike previously reported algorithms, which were based on only one of these two parameters, this algorithm does not require seasonal tuning and is applicable to both coastal and pelagic waters. The uncertainty in the remotely sensed concentrations of DOC is about ±4–10µM. The climatological distributions of the satellite-derived surface DOC in the NoSoCS and adjacent waters between 2002 and 2012 followed a general trend of increasing concentrations landward, from about 58 and 73μM in the open South China Sea (SCS) in January and July, respectively, to >100μM at the mouth of the Pearl River. The intra-annual changes in the monthly average concentration of DOC in the NoSoCS follow a distinct seasonal cycle, with the lowest and highest concentrations, 56μM and 75μM, in February and July, respectively. The seasonal cycle of DOC was in phase with that of SST but out of phase with that of primary production, suggesting that biological activity was not likely its primary control. Instead, it was consistent with the entrainment of the cold and less DOC-rich sub-surface water in the surface water by enhanced vertical mixing during winter, and the high inflow of organic-rich river water to the NoSoCS in summer. Sub-regionally, lower concentrations of DOC were found in the known upwelling zones in the NoSoCS, where vertical mixing was enhanced. In the inner shelf, the effect of riverine input was indicated by higher concentrations of DOC in the plume of water at the mouth of the Pearl River. This work represents the first attempt to characterize the regional distribution of surface concentration of DOC in the NoSoCS and adjacent waters.
doi_str_mv 10.1016/j.dsr2.2015.02.025
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1709764191</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0967064515000715</els_id><sourcerecordid>1701490427</sourcerecordid><originalsourceid>FETCH-LOGICAL-c436t-378925400ee37b64f6f0609f1484396a4feb66a77103686ed1db159d272eee293</originalsourceid><addsrcrecordid>eNqNUcFuEzEUtBCVCIUf4OQjlw3PXq8dIy5VRAGpEofSs-V432Ydee1iO0X5kP5vHYUzQhpp3mHmPb0ZQj4wWDNg8tNhPZbM1xzYsAbeMLwiK7ZRugMG8JqsQEvVgRTDG_K2lAMA9L3UK_J8E6lfHnN6wpHasE_Z13mhU8o045IqhhMtGIuPe7rY7CPS0ZeSwlmf8t5G76izeZfiZ7oNfrE1hbQ_UR9pnZHGlBvlSO_Tsc50O_to6T1aWmYMU1faZGO7PB6sw1jpH1sxl3fkarKh4Pu_fE0ebr_-2n7v7n5--7G9ueuc6GXterXRfBAAiL3aSTHJCSToiYmN6LW0YsKdlFYpBr3cSBzZuGODHrniiMh1f00-Xva2AH4fsVSz-OIwBBsxHYthCrSSgmn2P1ImNAiumpRfpC6nUjJO5jG3YPLJMDDnuszBnOsy57oM8Iahmb5cTNj-ffKYTXEeo8PRZ3TVjMn_y_4C27KfPg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1701490427</pqid></control><display><type>article</type><title>An improved algorithm for remotely sensing marine dissolved organic carbon: Climatology in the northern South China Sea shelf-sea and adjacent waters</title><source>Access via ScienceDirect (Elsevier)</source><creator>Pan, Xiaoju ; Wong, George T.F.</creator><creatorcontrib>Pan, Xiaoju ; Wong, George T.F.</creatorcontrib><description>By using field in situ observations, data from the NOMAD database, and remotely sensed data from MODIS-Aqua, an improved algorithm has been developed for estimating the surface concentrations of dissolved organic carbon (DOC) in the Northern South China Sea Shelf-sea (NoSoCS) and adjacent waters through a combination of the remotely sensed sea-surface temperature (SST) and the absorption coefficient of colored dissolved organic matter (CDOM). Unlike previously reported algorithms, which were based on only one of these two parameters, this algorithm does not require seasonal tuning and is applicable to both coastal and pelagic waters. The uncertainty in the remotely sensed concentrations of DOC is about ±4–10µM. The climatological distributions of the satellite-derived surface DOC in the NoSoCS and adjacent waters between 2002 and 2012 followed a general trend of increasing concentrations landward, from about 58 and 73μM in the open South China Sea (SCS) in January and July, respectively, to &gt;100μM at the mouth of the Pearl River. The intra-annual changes in the monthly average concentration of DOC in the NoSoCS follow a distinct seasonal cycle, with the lowest and highest concentrations, 56μM and 75μM, in February and July, respectively. The seasonal cycle of DOC was in phase with that of SST but out of phase with that of primary production, suggesting that biological activity was not likely its primary control. Instead, it was consistent with the entrainment of the cold and less DOC-rich sub-surface water in the surface water by enhanced vertical mixing during winter, and the high inflow of organic-rich river water to the NoSoCS in summer. Sub-regionally, lower concentrations of DOC were found in the known upwelling zones in the NoSoCS, where vertical mixing was enhanced. In the inner shelf, the effect of riverine input was indicated by higher concentrations of DOC in the plume of water at the mouth of the Pearl River. This work represents the first attempt to characterize the regional distribution of surface concentration of DOC in the NoSoCS and adjacent waters.</description><identifier>ISSN: 0967-0645</identifier><identifier>EISSN: 1879-0100</identifier><identifier>DOI: 10.1016/j.dsr2.2015.02.025</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Algorithms ; Carbon ; China ; Climatology ; Colored dissolved organic matter ; Dissolution ; Dissolved organic carbon ; Mouth ; Northern South China Sea ; Remote sensing ; Rivers ; Sea surface temperature ; Shelf-sea</subject><ispartof>Deep-sea research. Part II, Topical studies in oceanography, 2015-07, Vol.117, p.131-142</ispartof><rights>2015 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-378925400ee37b64f6f0609f1484396a4feb66a77103686ed1db159d272eee293</citedby><cites>FETCH-LOGICAL-c436t-378925400ee37b64f6f0609f1484396a4feb66a77103686ed1db159d272eee293</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.dsr2.2015.02.025$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Pan, Xiaoju</creatorcontrib><creatorcontrib>Wong, George T.F.</creatorcontrib><title>An improved algorithm for remotely sensing marine dissolved organic carbon: Climatology in the northern South China Sea shelf-sea and adjacent waters</title><title>Deep-sea research. Part II, Topical studies in oceanography</title><description>By using field in situ observations, data from the NOMAD database, and remotely sensed data from MODIS-Aqua, an improved algorithm has been developed for estimating the surface concentrations of dissolved organic carbon (DOC) in the Northern South China Sea Shelf-sea (NoSoCS) and adjacent waters through a combination of the remotely sensed sea-surface temperature (SST) and the absorption coefficient of colored dissolved organic matter (CDOM). Unlike previously reported algorithms, which were based on only one of these two parameters, this algorithm does not require seasonal tuning and is applicable to both coastal and pelagic waters. The uncertainty in the remotely sensed concentrations of DOC is about ±4–10µM. The climatological distributions of the satellite-derived surface DOC in the NoSoCS and adjacent waters between 2002 and 2012 followed a general trend of increasing concentrations landward, from about 58 and 73μM in the open South China Sea (SCS) in January and July, respectively, to &gt;100μM at the mouth of the Pearl River. The intra-annual changes in the monthly average concentration of DOC in the NoSoCS follow a distinct seasonal cycle, with the lowest and highest concentrations, 56μM and 75μM, in February and July, respectively. The seasonal cycle of DOC was in phase with that of SST but out of phase with that of primary production, suggesting that biological activity was not likely its primary control. Instead, it was consistent with the entrainment of the cold and less DOC-rich sub-surface water in the surface water by enhanced vertical mixing during winter, and the high inflow of organic-rich river water to the NoSoCS in summer. Sub-regionally, lower concentrations of DOC were found in the known upwelling zones in the NoSoCS, where vertical mixing was enhanced. In the inner shelf, the effect of riverine input was indicated by higher concentrations of DOC in the plume of water at the mouth of the Pearl River. This work represents the first attempt to characterize the regional distribution of surface concentration of DOC in the NoSoCS and adjacent waters.</description><subject>Algorithms</subject><subject>Carbon</subject><subject>China</subject><subject>Climatology</subject><subject>Colored dissolved organic matter</subject><subject>Dissolution</subject><subject>Dissolved organic carbon</subject><subject>Mouth</subject><subject>Northern South China Sea</subject><subject>Remote sensing</subject><subject>Rivers</subject><subject>Sea surface temperature</subject><subject>Shelf-sea</subject><issn>0967-0645</issn><issn>1879-0100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNUcFuEzEUtBCVCIUf4OQjlw3PXq8dIy5VRAGpEofSs-V432Ydee1iO0X5kP5vHYUzQhpp3mHmPb0ZQj4wWDNg8tNhPZbM1xzYsAbeMLwiK7ZRugMG8JqsQEvVgRTDG_K2lAMA9L3UK_J8E6lfHnN6wpHasE_Z13mhU8o045IqhhMtGIuPe7rY7CPS0ZeSwlmf8t5G76izeZfiZ7oNfrE1hbQ_UR9pnZHGlBvlSO_Tsc50O_to6T1aWmYMU1faZGO7PB6sw1jpH1sxl3fkarKh4Pu_fE0ebr_-2n7v7n5--7G9ueuc6GXterXRfBAAiL3aSTHJCSToiYmN6LW0YsKdlFYpBr3cSBzZuGODHrniiMh1f00-Xva2AH4fsVSz-OIwBBsxHYthCrSSgmn2P1ImNAiumpRfpC6nUjJO5jG3YPLJMDDnuszBnOsy57oM8Iahmb5cTNj-ffKYTXEeo8PRZ3TVjMn_y_4C27KfPg</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Pan, Xiaoju</creator><creator>Wong, George T.F.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7TG</scope><scope>7TN</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20150701</creationdate><title>An improved algorithm for remotely sensing marine dissolved organic carbon: Climatology in the northern South China Sea shelf-sea and adjacent waters</title><author>Pan, Xiaoju ; Wong, George T.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-378925400ee37b64f6f0609f1484396a4feb66a77103686ed1db159d272eee293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algorithms</topic><topic>Carbon</topic><topic>China</topic><topic>Climatology</topic><topic>Colored dissolved organic matter</topic><topic>Dissolution</topic><topic>Dissolved organic carbon</topic><topic>Mouth</topic><topic>Northern South China Sea</topic><topic>Remote sensing</topic><topic>Rivers</topic><topic>Sea surface temperature</topic><topic>Shelf-sea</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pan, Xiaoju</creatorcontrib><creatorcontrib>Wong, George T.F.</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Deep-sea research. Part II, Topical studies in oceanography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pan, Xiaoju</au><au>Wong, George T.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An improved algorithm for remotely sensing marine dissolved organic carbon: Climatology in the northern South China Sea shelf-sea and adjacent waters</atitle><jtitle>Deep-sea research. Part II, Topical studies in oceanography</jtitle><date>2015-07-01</date><risdate>2015</risdate><volume>117</volume><spage>131</spage><epage>142</epage><pages>131-142</pages><issn>0967-0645</issn><eissn>1879-0100</eissn><abstract>By using field in situ observations, data from the NOMAD database, and remotely sensed data from MODIS-Aqua, an improved algorithm has been developed for estimating the surface concentrations of dissolved organic carbon (DOC) in the Northern South China Sea Shelf-sea (NoSoCS) and adjacent waters through a combination of the remotely sensed sea-surface temperature (SST) and the absorption coefficient of colored dissolved organic matter (CDOM). Unlike previously reported algorithms, which were based on only one of these two parameters, this algorithm does not require seasonal tuning and is applicable to both coastal and pelagic waters. The uncertainty in the remotely sensed concentrations of DOC is about ±4–10µM. The climatological distributions of the satellite-derived surface DOC in the NoSoCS and adjacent waters between 2002 and 2012 followed a general trend of increasing concentrations landward, from about 58 and 73μM in the open South China Sea (SCS) in January and July, respectively, to &gt;100μM at the mouth of the Pearl River. The intra-annual changes in the monthly average concentration of DOC in the NoSoCS follow a distinct seasonal cycle, with the lowest and highest concentrations, 56μM and 75μM, in February and July, respectively. The seasonal cycle of DOC was in phase with that of SST but out of phase with that of primary production, suggesting that biological activity was not likely its primary control. Instead, it was consistent with the entrainment of the cold and less DOC-rich sub-surface water in the surface water by enhanced vertical mixing during winter, and the high inflow of organic-rich river water to the NoSoCS in summer. Sub-regionally, lower concentrations of DOC were found in the known upwelling zones in the NoSoCS, where vertical mixing was enhanced. In the inner shelf, the effect of riverine input was indicated by higher concentrations of DOC in the plume of water at the mouth of the Pearl River. This work represents the first attempt to characterize the regional distribution of surface concentration of DOC in the NoSoCS and adjacent waters.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.dsr2.2015.02.025</doi><tpages>12</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0967-0645
ispartof Deep-sea research. Part II, Topical studies in oceanography, 2015-07, Vol.117, p.131-142
issn 0967-0645
1879-0100
language eng
recordid cdi_proquest_miscellaneous_1709764191
source Access via ScienceDirect (Elsevier)
subjects Algorithms
Carbon
China
Climatology
Colored dissolved organic matter
Dissolution
Dissolved organic carbon
Mouth
Northern South China Sea
Remote sensing
Rivers
Sea surface temperature
Shelf-sea
title An improved algorithm for remotely sensing marine dissolved organic carbon: Climatology in the northern South China Sea shelf-sea and adjacent waters
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T11%3A50%3A33IST&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=An%20improved%20algorithm%20for%20remotely%20sensing%20marine%20dissolved%20organic%20carbon:%20Climatology%20in%20the%20northern%20South%20China%20Sea%20shelf-sea%20and%20adjacent%20waters&rft.jtitle=Deep-sea%20research.%20Part%20II,%20Topical%20studies%20in%20oceanography&rft.au=Pan,%20Xiaoju&rft.date=2015-07-01&rft.volume=117&rft.spage=131&rft.epage=142&rft.pages=131-142&rft.issn=0967-0645&rft.eissn=1879-0100&rft_id=info:doi/10.1016/j.dsr2.2015.02.025&rft_dat=%3Cproquest_cross%3E1701490427%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=1701490427&rft_id=info:pmid/&rft_els_id=S0967064515000715&rfr_iscdi=true