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dc.contributor.author
Wang, Siyuan  
dc.contributor.author
Kinnison, Douglas E.  
dc.contributor.author
Montzka, Stephen A.  
dc.contributor.author
Apel, Eric C.  
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Hornbrook, Rebecca S.  
dc.contributor.author
Hills, Alan J.  
dc.contributor.author
Blake, Donald R.  
dc.contributor.author
Barletta, Barbara  
dc.contributor.author
Meinardi, Simone  
dc.contributor.author
Sweeney, Colm  
dc.contributor.author
Moore, Fred  
dc.contributor.author
Long, Matthew  
dc.contributor.author
Saiz-lopez, Alfonso  
dc.contributor.author
Fernandez, Rafael Pedro  
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Tilmes, Simone  
dc.contributor.author
Emmons, Louisa K.  
dc.contributor.author
Lamarque, Jean-François  
dc.date.available
2020-07-28T02:28:15Z  
dc.date.issued
2019-11  
dc.identifier.citation
Wang, Siyuan; Kinnison, Douglas E.; Montzka, Stephen A.; Apel, Eric C.; Hornbrook, Rebecca S.; et al.; Ocean biogeochemistry control on the marine emissions of brominated very short‐lived ozone‐depleting substances: A machine‐learning approach; American Geophysical Union (AGU); Journal of Geophysical Research: Atmospheres; 124; 12; 11-2019; 319-339  
dc.identifier.issn
2169-8996  
dc.identifier.uri
http://hdl.handle.net/11336/110384  
dc.description.abstract
Halogenated very short lived substances (VSLS) affect the ozone budget in the atmosphere. Brominated VSLS are naturally emitted from the ocean, and current oceanic emission inventories vary dramatically. We present a new global oceanic emission inventory of Br‐VSLS (bromoform and dibromomethane), considering the physical forcing in the ocean and the atmosphere, as well as the ocean<br />biogeochemistry control. A data‐oriented machine‐learning emulator was developed to couple the air‐sea exchange with the ocean biogeochemistry. The predicted surface seawater concentrations and the surface atmospheric mixing ratios of Br‐VSLS are evaluated with long‐term, global‐scale observations; and the predicted vertical distributions of Br‐VSLS are compared to the global airborne observations in both boreal summer and winter. The global marine emissions of bromoform and dibromomethane are estimated to be 385 and 54 Gg Br per year, respectively. The new oceanic emission inventory of Br‐VSLS is more skillful than the widely used top‐down approaches for representing the seasonal/spatial variations and the<br />annual means of atmospheric concentrations. The new approach  improves the model predictability for the coupled Earth system model and can be used as a basis for investigating the past and future ocean emissions and feedbacks under climate change. This model framework can be used to calculate the bidirectional oceanic fluxes for other compounds of interest.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Geophysical Union (AGU)  
dc.rights
info:eu-repo/semantics/embargoedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
MACHINE LEARNING APPROACH  
dc.subject
HALÓGENOS VSL  
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CAM-CHEM  
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EMISIONES OCEÁNICAS  
dc.subject.classification
Otras Ciencias de la Computación e Información  
dc.subject.classification
Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Ocean biogeochemistry control on the marine emissions of brominated very short‐lived ozone‐depleting substances: A machine‐learning approach  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-06-30T14:22:32Z  
dc.identifier.eissn
2169-897X  
dc.journal.volume
124  
dc.journal.number
12  
dc.journal.pagination
319-339  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Washington  
dc.description.fil
Fil: Wang, Siyuan. National Center for Atmospheric Research; Estados Unidos  
dc.description.fil
Fil: Kinnison, Douglas E.. National Center for Atmospheric Research; Estados Unidos  
dc.description.fil
Fil: Montzka, Stephen A.. National Oceanic & Atmospheric Administration; Estados Unidos  
dc.description.fil
Fil: Apel, Eric C.. University of California. Department of Chemistry; Estados Unidos  
dc.description.fil
Fil: Hornbrook, Rebecca S.. National Center for Atmospheric Research; Estados Unidos  
dc.description.fil
Fil: Hills, Alan J.. National Center for Atmospheric Research; Estados Unidos  
dc.description.fil
Fil: Blake, Donald R.. University of California at Irvine; Estados Unidos  
dc.description.fil
Fil: Barletta, Barbara. University of California at Irvine; Estados Unidos  
dc.description.fil
Fil: Meinardi, Simone. University of California at Irvine; Estados Unidos  
dc.description.fil
Fil: Sweeney, Colm. National Oceanic & Atmospheric Administration; Estados Unidos  
dc.description.fil
Fil: Moore, Fred. National Oceanic & Atmospheric Administration; Estados Unidos  
dc.description.fil
Fil: Long, Matthew. National Center for Atmospheric Research; Estados Unidos  
dc.description.fil
Fil: Saiz-lopez, Alfonso. Instituteof Physical Chemistry Rocasolano. Department of Atmospheric Chemistry and Climate; España  
dc.description.fil
Fil: Fernandez, Rafael Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Universidad Tecnológica Nacional. Facultad Regional Mendoza; Argentina  
dc.description.fil
Fil: Tilmes, Simone. National Center for Atmospheric Research; Estados Unidos  
dc.description.fil
Fil: Emmons, Louisa K.. National Center for Atmospheric Research; Estados Unidos  
dc.description.fil
Fil: Lamarque, Jean-François. National Center for Atmospheric Research; Estados Unidos  
dc.journal.title
Journal of Geophysical Research: Atmospheres  
dc.rights.embargoDate
2020-07-31  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1029/2019JD031288  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1029/2019JD031288