Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/59371
Campo DC Valoridioma
dc.contributor.authorBroullon, Danielen_US
dc.contributor.authorPerez, Fiz F.en_US
dc.contributor.authorVelo, Antonen_US
dc.contributor.authorHoppema, Marioen_US
dc.contributor.authorOlsen, Areen_US
dc.contributor.authorTakahashi, Taroen_US
dc.contributor.authorKey, Robert M.en_US
dc.contributor.authorTanhua, Tosteen_US
dc.contributor.authorGonzalez-Davila, Melchoren_US
dc.contributor.authorJeansson, Emilen_US
dc.contributor.authorKozyr, Alexen_US
dc.contributor.authorvan Heuven, Steven M. A. C.en_US
dc.date.accessioned2019-12-18T09:24:37Z-
dc.date.available2019-12-18T09:24:37Z-
dc.date.issued2019en_US
dc.identifier.issn1866-3508en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/59371-
dc.description.abstractGlobal climatologies of the seawater CO2 chemistry variables are necessary to assess the marine carbon cycle in depth. The climatologies should adequately capture seasonal variability to properly address ocean acidification and similar issues related to the carbon cycle. Total alkalinity (A(T)) is one variable of the seawater CO2 chemistry system involved in ocean acidification and frequently measured. We used the Global Ocean Data Analysis Project version 2.2019 (GLODAPv2) to extract relationships among the drivers of the A(T) variability and A(T) concentration using a neural network (NNGv2) to generate a monthly climatology. The GLODAPv2 quality-controlled dataset used was modeled by the NNGv2 with a root-mean-squared error (RMSE) of 5.3 mu mol kg(-1). Validation tests with independent datasets revealed the good generalization of the network. Data from five ocean time-series stations showed an acceptable RMSE range of 3-6.2 mu mol kg(-1). Successful modeling of the monthly A(T) variability in the time series suggests that the NNGv2 is a good candidate to generate a monthly climatology. The climatological fields of A(T) were obtained passing through the NNGv2 the World Ocean Atlas 2013 (WOA13) monthly climatologies of temperature, salinity, and oxygen and the computed climatologies of nutrients from the previous ones with a neural network. The spatiotemporal resolution is set by WOA13: 1 degrees x 1 degrees in the horizontal, 102 depth levels (0-5500 m) in the vertical and monthly (0-1500 m) to annual (1550-5500 m) temporal resolution. The product is distributed through the data repository of the Spanish National Research Council (CSIC; https://doi.org/10.20350/digitalCSIC/8644, Broullon et al., 2019).en_US
dc.languageengen_US
dc.relation.ispartofEarth System Science Dataen_US
dc.sourceEarth System Science Data [ISSN 1866-3508], v. 11 (3), p. 1109-1127en_US
dc.subject251002 Oceanografía químicaen_US
dc.subject.otherSurface Oceanen_US
dc.subject.otherInorganic Carbonen_US
dc.subject.otherCo2en_US
dc.subject.otherOcean acidificationen_US
dc.subject.otherVariabilityen_US
dc.subject.otherSaturationen_US
dc.subject.otherChemistryen_US
dc.subject.otherImpactsen_US
dc.subject.otherSeaen_US
dc.subject.otherPhen_US
dc.subject.otherTotal alkalinityen_US
dc.subject.otherMonthly climatologyen_US
dc.subject.otherNeural networken_US
dc.titleA global monthly climatology of total alkalinity: a neural network approachen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.5194/essd-11-1109-2019
dc.identifier.scopus85074096185
dc.identifier.isi000477976000001-
dc.contributor.authorscopusid57211473584
dc.contributor.authorscopusid56598611300
dc.contributor.authorscopusid36007807200
dc.contributor.authorscopusid35401714600
dc.contributor.authorscopusid7202795681
dc.contributor.authorscopusid7406455112
dc.contributor.authorscopusid8987364700
dc.contributor.authorscopusid16029608000
dc.contributor.authorscopusid6603931257
dc.contributor.authorscopusid8907871500
dc.contributor.authorscopusid6602937578
dc.contributor.authorscopusid23977259000
dc.identifier.eissn1866-3516-
dc.description.lastpage1127-
dc.identifier.issue3-
dc.description.firstpage1109-
dc.relation.volume11-
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.contributor.daisngid31285015
dc.contributor.daisngid145213
dc.contributor.daisngid2346116
dc.contributor.daisngid30711530
dc.contributor.daisngid559125
dc.contributor.daisngid768242
dc.contributor.daisngid334762
dc.contributor.daisngid573460
dc.contributor.daisngid30362855
dc.contributor.daisngid1783650
dc.contributor.daisngid3281950
dc.contributor.daisngid1478102
dc.description.notasDatos en el Repositorio de datos del Consejo Superior de Investigaciones Científicas (CSIC): https://digital.csic.es/handle/10261/184460en_US
dc.contributor.wosstandardWOS:Broullon, D
dc.contributor.wosstandardWOS:Perez, FF
dc.contributor.wosstandardWOS:Velo, A
dc.contributor.wosstandardWOS:Hoppema, M
dc.contributor.wosstandardWOS:Olsen, A
dc.contributor.wosstandardWOS:Takahashi, T
dc.contributor.wosstandardWOS:Key, RM
dc.contributor.wosstandardWOS:Tanhua, T
dc.contributor.wosstandardWOS:Gonzalez-Davila, M
dc.contributor.wosstandardWOS:Jeansson, E
dc.contributor.wosstandardWOS:Kozyr, A
dc.contributor.wosstandardWOS:van Heuven, SMAC
dc.date.coverdateJulio 2019
dc.identifier.ulpgces
dc.description.sjr4,532
dc.description.jcr9,197
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IOCAG: Química Marina-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Química-
crisitem.author.orcid0000-0003-3230-8985-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameGonzález Dávila, Melchor-
Colección:Artículos
miniatura
Adobe PDF (11,22 MB)
Vista resumida

Citas SCOPUSTM   

29
actualizado el 24-mar-2024

Citas de WEB OF SCIENCETM
Citations

26
actualizado el 25-feb-2024

Visitas

101
actualizado el 17-feb-2024

Descargas

104
actualizado el 17-feb-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.