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Your search keyword '"BAKKER, DOROTHEE C. E."' showing total 3 results
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3 results on '"BAKKER, DOROTHEE C. E."'

1. Integrated Ocean Carbon Research

Author

IOC Working Group on Integrated Ocean Carbon Research (IOC-R), Aricò, Salvatore, Watson, Andrew J., Wanninkhof, Rik, Thomas, Helmuth, Shutler, Jamie D., Schuster, Ute, Schoo, Katherina L., Sanders, Richard, Sabine, Christopher, Robinson, Carol, Monteiro, Pedro, McKinley, Galen A., Jiao, Nianzhi, Ishii, Masao, Isensee, Kirsten, Gruber, Nicolas, Dai, Minhan, Chai, Fei, Cotrim da Cunha, Leticia, Boyd, Philip W., Bakker, Dorothee C. E., Arrieta, Jesús M., and Lauvset, Siv K.

Subjects
fish, vision, carbon, Climatic changes, 12. Responsible consumption, Dissolved inorganic carbon, access, Carbon dioxide, 13. Climate action, 11. Sustainability, Centro Oceanográfico de Canarias, 14. Life underwater, Medio Marino, Dissolved organic carbon, documents
Abstract

The Integrated Ocean Carbon Research (IOC-R) programme is a formal working group of the Intergovernmental Oceanographic Commission (IOC) that was formed in 2018 in response to the United Nations (UN) Decade of Ocean Science for Sustainable Development (2021-2030), “the Decade.” The IOC-R will contribute to the science elements of the overarching Implementation Plan for the Decade1. The Implementation Plan is a high-level framework to guide actions by which ocean science can more effectively deliver its contribution and co-development with other entities to achieve the societal outcomes outlined in the Decade plan and the sustainable development goals (SDGs) of the UN., PERSISTENCIA DE SUSTRATOS ORGANICOS EN AMBIENTES OCEANICOS DILUIDOS, UNESCO, POSEIDON

Published
2021
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2. Global surface-ocean pCO2 and sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme

Author

Rödenbeck, Christian, Keeling, Ralph F., Bakker, Dorothee C. E., Metzl, Nicolas, Olsen, Are, Sabine, Christopher L., Heimann, M., Max-Planck-Institut für Biogeochemie (MPI-BGC), Scripps Institution of Oceanography (SIO - UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), University of East Anglia [Norwich] (UEA), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), National Oceanic and Atmospheric Administration (NOAA), Scripps Institution of Oceanography (SIO), University of California-University of California, Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)

Subjects
Biogeochemical cycle, 010504 meteorology & atmospheric sciences, Surface ocean, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDE.MCG]Environmental Sciences/Global Changes, 0207 environmental engineering, Flux, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 02 engineering and technology, 01 natural sciences, VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452, Sea air, medicine, 020701 environmental engineering, lcsh:Environmental sciences, 0105 earth and related environmental sciences, lcsh:GE1-350, lcsh:Geography. Anthropology. Recreation, Co2 flux, Biogeochemistry, Seasonality, medicine.disease, Field (geography), lcsh:G, 13. Climate action, Climatology, Environmental science
Abstract

International audience; A temporally and spatially resolved estimate of the global surface-ocean CO2 partial pressure field and the sea-air CO2 flux is presented, obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistry to surface-ocean CO2 partial pressure data from the SOCAT v1.5 database. Results include seasonal, interannual, and short-term (daily) variations. In most regions, estimated seasonality is well constrained from the data, and compares well to the widely used monthly climatology by Takahashi et al. (2009). Comparison to independent data tentatively supports the slightly higher seasonal variations in our estimates in some areas. We also fitted the diagnostic model to atmospheric CO2 data. The results of this are less robust, but in those areas where atmospheric signals are not strongly influenced by land flux variability, their seasonality is nevertheless consistent with the results based on surface-ocean data. From a comparison with an independent seasonal climatology of surface-ocean nutrient concentration, the diagnostic model is shown to capture relevant surface-ocean biogeochemical processes reasonably well. Estimated interannual variations will be presented and discussed in a companion paper.

Published
2013
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