Author: "Boss, E." - Searchworks@Jio Institute Digital Library Search Results

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1. Community-Level Responses to Iron Availability in Open Ocean Plankton Ecosystems

Author: Caputi, L, Carradec, Q, Eveillard, D, Kirilovsky, A, Pelletier, E, Pierella Karlusich, JJ, Rocha Jimenez Vieira, F, Villar, E, Chaffron, S, Malviya, S, Scalco, E, Acinas, SG, Alberti, A, Aury, JM, Benoiston, AS, Bertrand, A, Biard, T, Bittner, L, Boccara, M, Brum, JR, Brunet, C, Busseni, G, Carratalà, A, Claustre, H, Coelho, LP, Colin, S, D'Aniello, S, Da Silva, C, Del Core, M, Doré, H, Gasparini, S, Kokoszka, F, Jamet, JL, Lejeusne, C, Lepoivre, C, Lescot, M, Lima-Mendez, G, Lombard, F, Lukeš, J, Maillet, N, Madoui, MA, Martinez, E, Mazzocchi, MG, Néou, MB, Paz-Yepes, J, Poulain, J, Ramondenc, S, Romagnan, JB, Roux, S, Salvagio Manta, D, Sanges, R, Speich, S, Sprovieri, M, Sunagawa, S, Taillandier, V, Tanaka, A, Tirichine, L, Trottier, C, Uitz, J, Veluchamy, A, Veselá, J, Vincent, F, Yau, S, Kandels-Lewis, S, Searson, S, Dimier, C, Picheral, M, Bork, P, Boss, E, de Vargas, C, Follows, MJ, Grimsley, N, Guidi, L, Hingamp, P, Karsenti, E, Sordino, P, Stemmann, L, Sullivan, MB, Tagliabue, A, Zingone, A, Garczarek, L, d'Ortenzio, F, Testor, P, Not, F, d'Alcalà, MR, Wincker, P, Bowler, C, and Iudicone, D
Subjects: Genetics, Atmospheric Sciences, Geochemistry, Meteorology & Atmospheric Sciences, Oceanography
Abstract: Predicting responses of plankton to variations in essential nutrients is hampered by limited in situ measurements, a poor understanding of community composition, and the lack of reference gene catalogs for key taxa. Iron is a key driver of plankton dynamics and, therefore, of global biogeochemical cycles and climate. To assess the impact of iron availability on plankton communities, we explored the comprehensive bio-oceanographic and bio-omics data sets from Tara Oceans in the context of the iron products from two state-of-the-art global scale biogeochemical models. We obtained novel information about adaptation and acclimation toward iron in a range of phytoplankton, including picocyanobacteria and diatoms, and identified whole subcommunities covarying with iron. Many of the observed global patterns were recapitulated in the Marquesas archipelago, where frequent plankton blooms are believed to be caused by natural iron fertilization, although they are not captured in large-scale biogeochemical models. This work provides a proof of concept that integrative analyses, spanning from genes to ecosystems and viruses to zooplankton, can disentangle the complexity of plankton communities and can lead to more accurate formulations of resource bioavailability in biogeochemical models, thus improving our understanding of plankton resilience in a changing environment.
Published: 2019

2. Southern Ocean Biogeochemical Float Deployment Strategy, With Example From the Greenwich Meridian Line (GO-SHIP A12).

Author: Talley, LD, Rosso, I, Kamenkovich, I, Mazloff, MR, Wang, J, Boss, E, Gray, AR, Johnson, KS, Key, RM, Riser, SC, Williams, NL, and Sarmiento, JL
Subjects: Southern Ocean, biogeochemical floats, carbon cycle, circulation, sea ice, water masses, Geophysics, Oceanography, Physical Geography and Environmental Geoscience
Abstract: Biogeochemical Argo floats, profiling to 2,000-m depth, are being deployed throughout the Southern Ocean by the Southern Ocean Carbon and Climate Observations and Modeling program (SOCCOM). The goal is 200 floats by 2020, to provide the first full set of annual cycles of carbon, oxygen, nitrate, and optical properties across multiple oceanographic regimes. Building from no prior coverage to a sparse array, deployments are based on prior knowledge of water mass properties, mean frontal locations, mean circulation and eddy variability, winds, air-sea heat/freshwater/carbon exchange, prior Argo trajectories, and float simulations in the Southern Ocean State Estimate and Hybrid Coordinate Ocean Model (HYCOM). Twelve floats deployed from the 2014-2015 Polarstern cruise from South Africa to Antarctica are used as a test case to evaluate the deployment strategy adopted for SOCCOM's 20 deployment cruises and 126 floats to date. After several years, these floats continue to represent the deployment zones targeted in advance: (1) Weddell Gyre sea ice zone, observing the Antarctic Slope Front, and a decadally-rare polynya over Maud Rise; (2) Antarctic Circumpolar Current (ACC) including the topographically steered Southern Zone chimney where upwelling carbon/nutrient-rich deep waters produce surprisingly large carbon dioxide outgassing; (3) Subantarctic and Subtropical zones between the ACC and Africa; and (4) Cape Basin. Argo floats and eddy-resolving HYCOM simulations were the best predictors of individual SOCCOM float pathways, with uncertainty after 2 years of order 1,000 km in the sea ice zone and more than double that in and north of the ACC.
Published: 2019

3. Globally consistent quantitative observations of planktonic ecosystems

Author: Lombard, F, Boss, E, Waite, AM, Uitz, J, Stemmann, L, Sosik, HM, Schulz, J, Romagnan, JB, Picheral, M, Pearlman, J, Ohman, MD, Niehoff, B, Möller, KO, Miloslavich, P, Lara-Lopez, A, Kudela, RM, Lopes, RM, Karp-Boss, L, Kiko, R, Jaffe, JS, Iversen, MH, Irisson, JO, Hauss, H, Guidi, L, Gorsky, G, Giering, SLC, Gaube, P, Gallager, S, Dubelaar, G, Cowen, RK, Carlotti, F, Briseño-Avena, C, Berline, L, Benoit-Bird, KJ, Bax, NJ, Batten, SD, Ayata, SD, and Appeltans, W
Subjects: Oceanography, Ecology
Abstract: In this paper we review on the technologies available to make globally quantitative observations of particles, in general, and plankton, in particular, in the world oceans, and for sizes varying from sub-micron to centimeters. Some of these technologies have been available for years while others have only recently emerged. Use of these technologies is critical to improve understanding of the processes that control abundances, distributions and composition of plankton, provide data necessary to constrain and improve ecosystem and biogeochemical models, and forecast changes in marine ecosystems in light of climate change. In this paper we begin by providing the motivation for plankton observations, quantification and diversity qualification on a global scale. We then expand on the state-of-the-art, detailing a variety of relevant and (mostly) mature technologies and measurements, including bulk measurements of plankton, pigment composition, uses of genomic, optical, acoustical methods and analysis using particles counters, flow cytometers and quantitative imaging devices. We follow by highlighting the requirements necessary for a plankton observing system, the approach to achieve it and associated challenges. We conclude with ranked action-item recommendations for the next ten years to move towards our vision of a holistic ocean-wide plankton observing system. Particularly, we suggest to begin with a demonstration project on a GO-SHIP line and/or a long-term observation site and expand from there ensuring that issues associated with methods, observation tools, data analysis, quality assessment and curation are addressed early in the implementation. Global coordination is key for the success of this vision and will bring new insights on processes associated with nutrient regeneration, ocean production, fisheries, and carbon sequestration.
Published: 2019

4. Marine Aerosols : Measurements by the Tara Pacific Expedition

Author: Flores, J. M., Bourdin, G., Altaratz, O., Trainic, M., Lang-Yona, N., Dzimban, E., Steinau, S., Tettich, F., Planes, S., Allemand, D., Agostini, S., Banaigs, B., Boissin, E., Boss, E., Douville, E., Forcioli, D., Furla, P., Galand, P. E., Sullivan, M., Gilson, É., Lombard, F., Moulin, C., Pesant, S., Poulain, J., Reynaud, S., Romac, S., Sunagawa, S., Thomas, O. P., Troublé, R., de Vargas, C., Thurber, R. Vega, Voolstra, C. R., Wincker, P., Zoccola, D., Bowler, C., Gorsky, G., Rudich, Y., Vardi, A., and Koren, I.
Published: 2020

5. Tara Pacific Expedition’s Atmospheric Measurements of Marine Aerosols across the Atlantic and Pacific Oceans : Overview and Preliminary Results

Author: Flores, J. M., Bourdin, G., Altaratz, O., Trainic, M., Lang-Yona, N., Dzimban, E., Steinau, S., Tettich, F., Planes, S., Allemand, D., Agostini, S., Banaigs, B., Boissin, E., Boss, E., Douville, E., Forcioli, D., Furla, P., Galand, P. E., Sullivan, M. B., Gilson, É., Lombard, F., Moulin, C., Pesant, S., Poulain, J., Reynaud, S., Romac, S., Sunagawa, S., Thomas, O. P., Troublé, R., de Vargas, C., Thurber, R. Vega, Voolstra, C. R., Wincker, P., Zoccola, D., Bowler, C., Gorsky, G., Rudich, Y., Vardi, A., and Koren, I.
Published: 2020

6. Optical techniques for remote and in-situ characterization of particles pertinent to GEOTRACES

Author: Boss, E, Guidi, L, Richardson, MJ, Stemmann, L, Gardner, W, Bishop, JKB, Anderson, RF, and Sherrell, RM
Subjects: Oceanography, Geology
Abstract: Field and laboratory characterization of marine particles is laborious and expensive. Proxies of particle properties have been developed that allow researchers to obtain high frequency distributions of such properties in space or time. We focus on optical techniques used to characterize marine particles in-situ, with a focus on GEOTRACES-relevant properties, such as bulk properties including particle mass, cross-sectional area, particle size distribution, particle shape information, and also single particle optical properties, such as individual particle type and size. We also address the use of optical properties of particles to infer particulate organic or inorganic carbon. In addition to optical sensors we review advances in imaging technology and its use to study marine particles in situ. This review addresses commercially available technology and techniques that can be used as a proxy for particle properties and the associated uncertainties with particular focus to open ocean environments, the focus of GEOTRACES.
Published: 2015

7. Lipid Profiles, Inflammatory Markers, and Insulin Therapy in Youth with Type 2 Diabetes

Author: McKay, S., Haymond, M., Anderson, B., Bush, C., Gunn, S., Holden, H., Jones, S.M., Jeha, G., McGirk, S., Thamotharan, S., Cuttler, L., Abrams, E., Casey, T., Dahms, W., Ievers-Landis, C., Kaminski, B., Koontz, M., MacLeish, S., McGuigan, P., Narasimhan, S., Geffner, M., Barraza, V., Chang, N., Conrad, B., Dreimane, D., Estrada, S., Fisher, L., Fleury-Milfort, E., Hernandez, S., Hollen, B., Kaufman, F., Law, E., Mansilla, V., Miller, D., Muñoz, C., Ortiz, R., Ward, A., Wexler, K., Xu, Y.K., Yasuda, P., Berkowitz, R., Boyd, S., Johnson, B., Kaplan, J., Keating, C., Lassiter, C., Lipman, T., McGinley, G., McKnight, H., Schwartzman, B., Willi, S., Arslanian, S., Foster, S., Galvin, B., Hannon, T., Kriska, A., Marcus, M., Songer, T., Venditti, E., Goland, R., Gallagher, D., Kringas, P., Leibel, N., Ng, D., Ovalles, M., Seidman, D., Laffel, L., Goebel-Fabbri, A., Hall, M., Higgins, L., Keady, J., Malloy, M., Milaszewski, K., Rasbach, L., Nathan, D.M., Angelescu, A., Bissett, L., Ciccarelli, C., Delahanty, L., Goldman, V., Hardy, O., Larkin, M., Levitsky, L., McEachern, R., Norman, D., Nwosu, D., Park-Bennett, S., Richards, D., Sherry, N., Steiner, B., Tollefsen, S., Carnes, S., Dempsher, D., Flomo, D., Whelan, T., Wolff, B., Bowerman, D., Bristol, S., Bulger, J., Hartsig, J., Izquierdo, R., Kearns, J., Saletsky, R., Trief, P., Zeitler, P., Abramson, N., Bradhurst, A., Celona-Jacobs, N., Higgins, J., Kelsey, M., Klingensmith, G., Witten, T., Copeland, K., Boss, E., Brown, R., Chadwick, J., Chalmers, L., Chernausek, S., Hebensperger, A., Macha, C., Newgent, R., Nordyke, A., Olson, D., Poulsen, T., Pratt, L., Preske, J., Schanuel, J., Sternlof, S., Lynch, J., Amodei, N., Barajas, R., Cody, C., Hale, D., Hernandez, J., Ibarra, C., Morales, E., Rivera, S., Rupert, G., Wauters, A., White, N., Arbeláez, A., Jones, J., Jones, T., Sadler, M., Tanner, M., Timpson, A., Welch, R., Caprio, S., Grey, M., Guandalini, C., Lavietes, S., Rose, P., Syme, A., Tamborlane, W., Hirst, K., Edelstein, S., Feit, P., Grover, N., Long, C., Pyle, L., Linder, B., Harting, J., Shepherd, J., Fan, B., Marquez, L., Sherman, M., Wang, J., Nichols, M., Mayer-Davis, E., Liu, Y., Lima, J., Puccella, J., Ricketts, E., Danis, R., Domalpally, A., Goulding, A., Neill, S., Vargo, P., Wilfley, D., Aldrich-Rasche, D., Franklin, K., Massmann, C., O'Brien, D., Patterson, J., Tibbs, T., Van Buren, D., Palmert, M., Ratner, R., Dremaine, D., Silverstein, J., Levitt Katz, Lorraine E., Bacha, Fida, Gidding, Samuel S., Weinstock, Ruth S., El ghormli, Laure, Libman, Ingrid, Nadeau, Kristen J., Porter, Kristin, and Marcovina, Santica
Published: 2018
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8. Cardiac Biomarkers in Youth with Type 2 Diabetes Mellitus: Results from the TODAY Study

Author: McKay, S., Haymond, M., Anderson, B., Bush, C., Gunn, S., Holden, H., Jones, S.M., Jeha, G., McGirk, S., Thamotharan, S., Cuttler, L., Abrams, E., Casey, T., Dahms, W., Ievers-Landis, C., Kaminski, B., Koontz, M., MacLeish, S., McGuigan, P., Narasimhan, S., Geffner, M., Barraza, V., Chang, N., Conrad, B., Dreimane, D., Estrada, S., Fisher, L., Fleury-Milfort, E., Hernandez, S., Hollen, B., Kaufman, F., Law, E., Mansilla, V., Miller, D., Muñoz, C., Ortiz, R., Ward, A., Wexler, K., Xu, Y.K., Yasuda, P., Levitt Katz, L., Berkowitz, R., Boyd, S., Johnson, B., Kaplan, J., Keating, C., Lassiter, C., Lipman, T., McGinley, G., McKnight, H., Schwartzman, B., Willi, S., Arslanian, S., Bacha, F., Foster, S., Galvin, B., Hannon, T., Kriska, A., Libman, I., Marcus, M., Porter, K., Songer, T., Venditti, E., Goland, R., Gallagher, D., Kringas, P., Leibel, N., Ng, D., Ovalles, M., Seidman, D., Laffel, L., Goebel-Fabbri, A., Hall, M., Higgins, L., Keady, J., Malloy, M., Milaszewski, K., Rasbach, L., Nathan, D.M., Angelescu, A., Bissett, L., Ciccarelli, C., Delahanty, L., Goldman, V., Hardy, O., Larkin, M., Levitsky, L., McEachern, R., Norman, D., Nwosu, D., Park-Bennett, S., Richards, D., Sherry, N., Steiner, B., Tollefsen, S., Carnes, S., Dempsher, D., Flomo, D., Whelan, T., Wolff, B., Weinstock, R., Bowerman, D., Bristol, S., Bulger, J., Hartsig, J., Izquierdo, R., Kearns, J., Saletsky, R., Trief, P., Zeitler, P., Abramson, N., Bradhurst, A., Celona-Jacobs, N., Higgins, J., Kelsey, M., Klingensmith, G., Nadeau, K., Witten, T., Copeland, K., Boss, E., Brown, R., Chadwick, J., Chalmers, L., Chernausek, S., Hebensperger, A., Macha, C., Newgent, R., Nordyke, A., Olson, D., Poulsen, T., Pratt, L., Preske, J., Schanuel, J., Sternlof, S., Lynch, J., Amodei, N., Barajas, R., Cody, C., Hale, D., Hernandez, J., Ibarra, C., Morales, E., Rivera, S., Rupert, G., Wauters, A., White, N., Arbeláez, A., Jones, J., Jones, T., Sadler, M., Tanner, M., Timpson, A., Welch, R., Caprio, S., Grey, M., Guandalini, C., Lavietes, S., Rose, P., Syme, A., Tamborlane, W., Hirst, K., Edelstein, S., Feit, P., Grover, N., Long, C., Pyle, L., Linder, B., Marcovina, S.M., Harting, J., Shepherd, J., Fan, B., Marquez, L., Sherman, M., Wang, J., Nichols, M., Mayer-Davis, E., Liu, Y., Lima, J., Gidding, S., Puccella, J., Ricketts, E., Danis, R., Domalpally, A., Goulding, A., Neill, S., Vargo, P., Wilfley, D., Aldrich-Rasche, D., Franklin, K., Massmann, C., O'Brien, D., Patterson, J., Tibbs, T., Van Buren, D., Palmert, M., Ratner, R., Dremaine, D., Silverstein, J., Gidding, Samuel S., Bacha, Fida, Bjornstad, Petter, Levitt Katz, Lorraine E., Levitsky, Lynne L., Lynch, Jane, Tryggestad, Jeanie B., Weinstock, Ruth S., El ghormli, Laure, and Lima, Joao A.C.
Published: 2018
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9. Satellite-detected fluorescence reveals global physiology of ocean phytoplankton

Author: Behrenfeld, M. J, Westberry, T. K, Boss, E. S, O'Malley, R. T, Siegel, D. A, Wiggert, J. D, Franz, B. A, McClain, C. R, Feldman, G. C, Doney, S. C, Moore, J. K, Dall'Olmo, G., Milligan, A. J, Lima, I., and Mahowald, N.
Subjects: chlorophyll-a fluorescence, solar-stimulated fluorescence, mesoscale iron enrichment, equatorial pacific-ocean, quantum yield, natural fluorescence, coastal waters, nutrient stress, interannual variability, dunaliella-tertiolecta
Abstract: Phytoplankton photosynthesis links global ocean biology and climate-driven fluctuations in the physical environment. These interactions are largely expressed through changes in phytoplankton physiology, but physiological status has proven extremely challenging to characterize globally. Phytoplankton fluorescence does provide a rich source of physiological information long exploited in laboratory and field studies, and is now observed from space. Here we evaluate the physiological underpinnings of global variations in satellite-based phytoplankton chlorophyll fluorescence. The three dominant factors influencing fluorescence distributions are chlorophyll concentration, pigment packaging effects on light absorption, and light-dependent energy-quenching processes. After accounting for these three factors, resultant global distributions of quenching-corrected fluorescence quantum yields reveal a striking consistency with anticipated patterns of iron availability. High fluorescence quantum yields are typically found in low iron waters, while low quantum yields dominate regions where other environmental factors are most limiting to phytoplankton growth. Specific properties of photosynthetic membranes are discussed that provide a mechanistic view linking iron stress to satellite-detected fluorescence. Our results present satellite-based fluorescence as a valuable tool for evaluating nutrient stress predictions in ocean ecosystem models and give the first synoptic observational evidence that iron plays an important role in seasonal phytoplankton dynamics of the Indian Ocean. Satellite fluorescence may also provide a path for monitoring climate-phytoplankton physiology interactions and improving descriptions of phytoplankton light use efficiencies in ocean productivity models.
Published: 2009

10. Environmental characteristics of Agulhas rings affect interocean plankton transport

Author: Tara Oceans Coordinators, Villar, E., Farrant, G. K., Follows, M., Garczarek, L., Speich, S., Audic, S., Bittner, L., Blanke, B., Brum, J. R., Brunet, C., Casotti, R., Chase, A., Dolan, J. R., d'Ortenzio, F., Gattuso, J.-P., Grima, N., Guidi, L., Hill, C. N., Jahn, O., Jamet, J.-L., Le Goff, H., Lepoivre, C., Malviya, S., Pelletier, E., Romagnan, J.-B., Roux, S., Santini, S., Scalco, E., Schwenck, S. M., Tanaka, A., Testor, P., Vannier, T., Vincent, F., Zingone, A., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Acinas, S. G., Bork, P., Boss, E., de Vargas, C., Gorsky, G., Ogata, H., Pesant, S., Sullivan, M. B., Sunagawa, S., Wincker, P., Karsenti, E., Bowler, C., Not, F., Hingamp, P., and Iudicone, D.
Published: 2015

11. Plankton Imagery Data Inform Satellite‐Based Estimates of Diatom Carbon

Author: Chase, A. P., primary, Boss, E. S., additional, Haëntjens, N., additional, Culhane, E., additional, Roesler, C., additional, and Karp‐Boss, L., additional
Published: 2022
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12. Correction of Radiometry Data for Temperature Effect on Dark Current, with Application to Radiometers on Profiling Floats

Author: O'Brien, T, Boss, E, O'Brien, T, and Boss, E
Abstract: Measurements of daytime radiometry in the ocean are necessary to constrain processes such as photosynthesis, photo-chemistry and radiative heating. Profiles of downwelling irradiance provide a means to compute the concentration of a variety of in-water constituents. However, radiometers record a non-negligible signal when no light is available, and this signal is temperature dependent (called the dark current). Here, we devise and evaluate two consistent methods for correction of BGC-Argo radiometry measurements for dark current: one based on measurements during the day, the other based on night measurements. A daytime data correction is needed because some floats never measure at night. The corrections are based on modeling the temperature of the radiometer and show an average bias in the measured value of nearly 0.01 W m-2 nm-1, 3 orders of magnitude larger than the reported uncertainty of 2.5×10-5 W m-2 nm-1 for the sensors deployed on BGC-Argo floats (SeaBird scientific OCR504 radiometers). The methods are designed to be simple and robust, requiring pressure, temperature and irradiance data. The correction based on nighttime profiles is recommended as the primary method as it captures dark measurements with the largest dynamic range of temperature. Surprisingly, more than 28% of daytime profiles (130,674 in total) were found to record significant downwelling irradiance at 240-250 dbar. The correction is shown to be small relative to near-surface radiance and thus most useful for studies investigating light fields in the twilight zone and the impacts of radiance on deep organisms. Based on these findings, we recommend that BGC-Argo floats profile occasionally at night and to depths greater than 250 dbar. We provide codes to perform the dark corrections.
Published: 2022

13. Cardiac Biomarkers in Youth with Type 2 Diabetes Mellitus: Results from the TODAY Study

Author: Gidding, Samuel S., Bacha, Fida, Bjornstad, Petter, Katz, Lorraine E. Levitt, Levitsky, Lynne L., Lynch, Jane, Tryggestad, Jeanie B., Weinstock, Ruth S., El ghormli, Laure, Lima, Joao A.C., McKay, S., Haymond, M., Anderson, B., Bush, C., Gunn, S., Holden, H., Jones, S. M., Jeha, G., McGirk, S., Thamotharan, S., Cuttler, L., Abrams, E., Casey, T., Dahms, W., Ievers-Landis, C., Kaminski, B., Koontz, M., MacLeish, S., McGuigan, P., Narasimhan, S., Geffner, M., Barraza, V., Chang, N., Conrad, B., Dreimane, D., Estrada, S., Fisher, L., Fleury-Milfort, E., Hernandez, S., Hollen, B., Kaufman, F., Law, E., Mansilla, V., Miller, D., Muñoz, C., Ortiz, R., Ward, A., Wexler, K., Xu, Y. K., Yasuda, P., Katz, Levitt L., Berkowitz, R., Boyd, S., Johnson, B., Kaplan, J., Keating, C., Lassiter, C., Lipman, T., McGinley, G., McKnight, H., Schwartzman, B., Willi, S., Arslanian, S., Bacha, F., Foster, S., Galvin, B., Hannon, T., Kriska, A., Libman, I., Marcus, M., Porter, K., Songer, T., Venditti, E., Goland, R., Gallagher, D., Kringas, P., Leibel, N., Ng, D., Ovalles, M., Seidman, D., Laffel, L., Goebel-Fabbri, A., Hall, M., Higgins, L., Keady, J., Malloy, M., Milaszewski, K., Rasbach, L., Nathan, D. M., Angelescu, A., Bissett, L., Ciccarelli, C., Delahanty, L., Goldman, V., Hardy, O., Larkin, M., Levitsky, L., McEachern, R., Norman, D., Nwosu, D., Park-Bennett, S., Richards, D., Sherry, N., Steiner, B., Tollefsen, S., Carnes, S., Dempsher, D., Flomo, D., Whelan, T., Wolff, B., Weinstock, R., Bowerman, D., Bristol, S., Bulger, J., Hartsig, J., Izquierdo, R., Kearns, J., Saletsky, R., Trief, P., Zeitler, P., Abramson, N., Bradhurst, A., Celona-Jacobs, N., Higgins, J., Kelsey, M., Klingensmith, G., Nadeau, K., Witten, T., Copeland, K., Boss, E., Brown, R., Chadwick, J., Chalmers, L., Chernausek, S., Hebensperger, A., Macha, C., Newgent, R., Nordyke, A., Olson, D., Poulsen, T., Pratt, L., Preske, J., Schanuel, J., Sternlof, S., Lynch, J., Amodei, N., Barajas, R., Cody, C., Hale, D., Hernandez, J., Ibarra, C., Morales, E., Rivera, S., Rupert, G., Wauters, A., White, N., Arbeláez, A., Jones, J., Jones, T., Sadler, M., Tanner, M., Timpson, A., Welch, R., Caprio, S., Grey, M., Guandalini, C., Lavietes, S., Rose, P., Syme, A., Tamborlane, W., Hirst, K., Edelstein, S., Feit, P., Grover, N., Long, C., Pyle, L., Linder, B., Marcovina, S. M., Harting, J., Shepherd, J., Fan, B., Marquez, L., Sherman, M., Wang, J., Nichols, M., Mayer-Davis, E., Liu, Y., Lima, J., Gidding, S., Puccella, J., Ricketts, E., Danis, R., Domalpally, A., Goulding, A., Neill, S., Vargo, P., Wilfley, D., Aldrich-Rasche, D., Franklin, K., Massmann, C., O’Brien, D., Patterson, J., Tibbs, T., Van Buren, D., Palmert, M., Ratner, R., Dremaine, D., and Silverstein, J.
Published: 2018
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14. Methyl mercury dynamics in a tidal wetland quantified using in situ optical measurements

Author: Bergamaschi, B. A., Fleck, J. A., Downing, B. D., Boss, E., Pellerin, B., Ganju, N. K., Schoellhamer, D. H., Byington, A. A., Heim, W. A., Stephenson, M., and Fujii, R.
Published: 2011

15. Observations of Pigment and Particle Distributions in the Western North Atlantic from an Autonomous Float and Ocean Color Satellite

Author: Boss, E., Swift, D., Taylor, L., Brickley, P., Zaneveld, R., Riser, S., Perry, M. J., and Strutton, P. G.
Published: 2008

16. Edge Wave and Non-trapped Modes of the 25 April 1992 Cape Mendocino Tsunami

Author: González, F. I., Satake, K., Boss, E. F., Mofjeld, H. O., Imamura, Fumihiko, editor, and Satake, Kenji, editor
Published: 1995
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17. Characteristics, distribution and persistence of thin layers over a 48 hour period

Author: McManus, M. A., Alldredge, A. L., Barnard, A. H., Boss, E., Case, J. F., Cowles, T. J., Donaghay, P. L., Eisner, L. B., Gifford, D. J., Greenlaw, C. F., Herren, C. M., Holliday, D. V., Johnson, D., MacIntyre, S., McGehee, D. M., Osborn, T. R., Perry, M. J., Pieper, R. E., Rines, J. E. B., Smith, D. C., Sullivan, J. M., Talbot, M. K., Twardowski, M. S., Weidemann, A., and Zaneveld, J. R.
Published: 2003

18. Environmental characteristics of Agulhas rings affect interocean plankton transport

Author: Villar, E., Farrant, G. K., Follows, M., Garczarek, L., Speich, S., Audic, S., Bittner, L., Blanke, B., Brum, J. R., Brunet, C., Casotti, R., Chase, A., Dolan, J. R., dʼOrtenzio, F., Gattuso, J.-P., Grima, N., Guidi, L., Hill, C. N., Jahn, O., Jamet, J.-L., Le Goff, H., Lepoivre, C., Malviya, S., Pelletier, E., Romagnan, J.-B., Roux, S., Santini, S., Scalco, E., Schwenck, S. M., Tanaka, A., Testor, P., Vannier, T., Vincent, F., Zingone, A., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Oceans Coordinators, Tara, Acinas, S. G., Bork, P., Boss, E., de Vargas, C., Gorsky, G., Ogata, H., Pesant, S., Sullivan, M. B., Sunagawa, S., Wincker, P., Karsenti, E., Bowler, C., Not, F., Hingamp, P., and Iudicone, D.
Published: 2015

19. Seasonal bias in global ocean color observations

Author: Bisson, K. M., primary, Boss, E., additional, Werdell, P. J., additional, Ibrahim, A., additional, Frouin, R., additional, and Behrenfeld, M. J., additional
Published: 2021
Full Text: View/download PDF

20. Expanding Tara Oceans Protocols for Underway, Ecosystemic Sampling of the Ocean-Atmosphere Interface During Tara Pacific Expedition (2016–2018)

Author: Gorsky, Gabriel, Bourdin, Guillaume, Lombard, Fabien, Pedrotti, Maria Luiza, Audrain, Samuel, Bin, Nicolas, Boss, Emmanuel, Bowler, Chris, Cassar, Nicolas, Caudan, Loic, Chabot, Genevieve, Cohen, Natalie R., Cron, Daniel, De Vargas, Colomban, Dolan, John R., Douville, Eric, Elineau, Amanda, Flores, J. Michel, Ghiglione, Jean Francois, Haentjens, Nils, Hertau, Martin, John, Seth G., Kelly, Rachel L., Koren, Ilan, Lin, Yajuan, Marie, Dominique, Moulin, Clementine, Moucherie, Yohann, Pesant, Stephane, Picheral, Marc, Poulain, Julie, Pujo-pay, Mireille, Reverdin, Gilles, Romac, Sarah, Sullivan, Mathew B., Trainic, Miri, Tressol, Marc, Trouble, Romain, Vardi, Assaf, Voolstra, Christian R., Wincker, Patrick, Agostini, Sylvain, Banaigs, Bernard, Boissin, Emilie, Forcioli, Didier, Furla, Paola, Galand, Pierre E., Gilson, Eric, Reynaud, Stephanie, Sunagawa, Shinichi, Thomas, Olivier P., Thurber, Rebecca Lisette Vega, Zoccola, Didier, Planes, Serge, Allemand, Denis, Karsenti, Eric, Planes, S., Banaig, B., Boissin, E., Iwankow, G., Allemand, D., Zoccola, D., Reynaud, S., Beraud, E., Djerbi, N., Forcioli, D., Furla, P., Gilson, E., Mcmind, R., Ottaviani, A., Rottinger, E., Rouan, A., Zamoum, T., Flume, B. C. C., Pogoreutz, C., Voolstra, C. R., Rothig, T., Ziegler, M., Paoli, L., Ruscheweyh, H-j, Salazar, G., Sunagawa, S., Flores, J. M., Koren, I, Trainic, M., Lang-yona, N., Vardi, A., Conan, P., Ghiglione, J-f, Pujo-pay, M., Galand, P. E., Hochart, C., Audrain, S., Bourgois, E., Hertau, M., Lancelot, J., Monmarche, D., Moulin, C., Moucherie, Y., Trouble, R., Boss, E., Bourdin, G., Haentjens, N., Karp-boss, L., Agostini, S., Mitsuhashi, G., Kitano, Y., Da Silva, O., Dolan, J. R., Gorsky, G., Lemee, R., Lombard, F., Pedrotti, M-l, Cronin, D., Sullivan, M., Armstrong, E., Aury, J-m, Barbe, V, Belser, C., Carradec, Q., Labadie, K., Le-hoang, J., Noel, B., Poulain, J., Wincker, P., Klinges, G., Vega-thunder, R., Bonnival, E., De Vargas, C., Henry, N., Marie, D., Romac, S., Pesant, S., Miguel-gorda, M., Thomas, O. P., Bowler, C., Friedrich, R., Cassar, N., Lin, Y., John, S. G., Kelly, R. L., Cohen, N. R., Reverdin, G., Filee, J., Pedrotti, Maria Luiza, Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID, Laboratoires d'excellence - LabexMER Marine Excellence Research: a changing ocean - - LabexMER2010 - ANR-10-LABX-0019 - LABX - OLD, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Maine, Tara Expéditions, Institut de biologie de l'Ecole Normale Supérieure (IBENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Nicholas School of the Environment, Duke University [Durham], Mercator Océan, Société Civile CNRS Ifremer IRD Météo-France SHOM, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Woods Hole Oceanographic Institution (WHOI), Evolution des Protistes et Ecosystèmes Pélagiques (EPEP), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), 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-Saclay-Centre National de la Recherche Scientifique (CNRS), Géochrononologie Traceurs Archéométrie (GEOTRAC), 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-Saclay-Centre National de la Recherche Scientifique (CNRS)-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-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Earth and Planetary Science [Rehovot], Weizmann Institute of Science [Rehovot, Israël], Laboratoire d'Océanographie Microbienne (LOMIC), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), University of Southern California (USC), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Center for Marine Environmental Sciences [Bremen] (MARUM), Universität Bremen, Data Publisher for Earth and Environmental Science (PANGAEA), University of Bremen, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Processus et interactions de fine échelle océanique (PROTEO), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Department of Civil, Environmental and Geodetic Engineering [Columbus], Ohio State University [Columbus] (OSU), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Universität Konstanz, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Shimoda Marine Research Center, Université de Tsukuba = University of Tsukuba, Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Symbiose Marine (SM), Evolution Paris Seine, Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Dpt génétique médicale [CHU Nice], Centre Hospitalier Universitaire de Nice (CHU Nice), Laboratoire d'Ecogéochimie des environnements benthiques (LECOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Centre Scientifique de Monaco (CSM), Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), National University of Ireland [Galway] (NUI Galway), Oregon State University (OSU), European Molecular Biology Laboratory [Heidelberg] (EMBL), TARA, ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), ANR-10-LABX-0019,LabexMER,LabexMER Marine Excellence Research: a changing ocean(2010), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire océanologique de Banyuls (OOB), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Université des Antilles (UA)-Institut d'écologie et environnement-Université de la Nouvelle-Calédonie (UNC)-Université de la Polynésie Française (UPF)-Université de La Réunion (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Université des Antilles et de la Guyane (UAG)-Institut de Recherche pour le Développement (IRD), Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles et de la Guyane (UAG)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Nice Sophia Antipolis (... - 2019) (UNS), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, lcsh:QH1-199.5, [SDE.MCG]Environmental Sciences/Global Changes, trace metals, Ocean Engineering, neuston, Aquatic Science, lcsh:General. Including nature conservation, geographical distribution, Oceanography, 01 natural sciences, Pacific ocean, taxonomy, neuston/plankton genomics/taxonomy/imaging, ddc:570, Ecosystem, 14. Life underwater, lcsh:Science, Reef, 0105 earth and related environmental sciences, Water Science and Technology, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Global and Planetary Change, geography, geography.geographical_feature_category, aerosols, NCP, IOP, microplastic, plankton genomics, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, ACL, 010604 marine biology & hydrobiology, Community structure, imaging, Pelagic zone, Plankton, Inlet, neuston/plankton genomics/taxonomy/imaging, aerosols, NCP, IOP, trace metals, microplastic, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.MCG] Environmental Sciences/Global Changes, 13. Climate action, lcsh:Q, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Neuston
Abstract: Interactions between the ocean and the atmosphere occur at the air-sea interface through the transfer of momentum, heat, gases and particulate matter, and through the impact of the upper-ocean biology on the composition and radiative properties of this boundary layer. The Tara Pacific expedition, launched in May 2016 aboard the schooner Tara, was a 29-month exploration with the dual goals to study the ecology of reef ecosystems along ecological gradients in the Pacific Ocean and to assess inter-island and open ocean surface plankton and neuston community structures. In addition, key atmospheric properties were measured to study links between the two boundary layer properties. A major challenge for the open ocean sampling was the lack of ship-time available for work at “stations”. The time constraint led us to develop new underway sampling approaches to optimize physical, chemical, optical, and genomic methods to capture the entire community structure of the surface layers, from viruses to metazoans in their oceanographic and atmospheric physicochemical context. An international scientific consortium was put together to analyze the samples, generate data, and develop datasets in coherence with the existing Tara Oceans database. Beyond adapting the extensive Tara Oceans sampling protocols for high-resolution underway sampling, the key novelties compared to Tara Oceans’ global assessment of plankton include the measurement of (i) surface plankton and neuston biogeography and functional diversity; (ii) bioactive trace metals distribution at the ocean surface and metal-dependent ecosystem structures; (iii) marine aerosols, including biological entities; (iv) geography, nature and colonization of microplastic; and (v) high-resolution underway assessment of net community production via equilibrator inlet mass spectrometry. We are committed to share the data collected during this expedition, making it an important resource important resource to address a variety of scientific questions. ISSN:2296-7745
Published: 2019

21. Seasonal bias in global observations of ocean color

Author: Bisson, Kelsey, primary, Boss, E, additional, Werdell, P J, additional, Ibrahim, A, additional, Frouin, Robert, additional, and Behrenfeld, M J, additional
Published: 2021
Full Text: View/download PDF

22. Particulate Backscattering in the Global Ocean: A Comparison of Independent Assessments

Author: Bisson, K. M., primary, Boss, E., additional, Werdell, P. J., additional, Ibrahim, A., additional, and Behrenfeld, M. J., additional
Published: 2021
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23. The role of MR imaging in invasive cervical carcinoma

Author: Boss, E. A., Barentsz, J. O., Massuger, L. F. A. G., and Boonstra, H.
Published: 2000
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24. The Tara Pacific expedition-A pan-ecosystemic approach of the '-omics' complexity of coral reef holobionts across the Pacific Ocean

Author: Planes, Serge, Allemand, Denis, Agostini, Sylvain, Banaigs, Bernard, Boissin, Emilie, Boss, Emmanuel, Bourdin, Guillaume, Bowler, Chris, Douville, Eric, Flores, J. Michel, Forcioli, Didier, Furla, Paola, Galand, Pierre E., Ghiglione, Jean-francois, Gilson, Eric, Lombard, Fabien, Moulin, Clementine, Pesant, Stephane, Poulain, Julie, Reynaud, Stephanie, Romac, Sarah, Sullivan, Matthew B., Sunagawa, Shinichi, Thomas, Olivier P., Trouble, Romain, De Vargas, Colomban, Thurber, Rebecca Vega, Voolstra, Christian R., Wincker, Patrick, Zoccola, Didier, Planes, S., Allemand, D., Agostini, S., Armstrong, E., Audrain, S., Aury, J-m, Banaig, B., Barbe, V, Belser, C., Beraud, E., Boissin, E., Bonnival, E., Boss, E., Bourdin, G., Bourgois, E., Bowler, C., Carradec, Q., Cassar, N., Cohen, N. R., Conan, P., Cronin, D. R., Da Silva, O., De Vargas, C., Djerbi, N., Dolan, J. R., Herta, Dominguez G., Du J, Filee, J., Flores, J. M., Forcioli, D., Friedrich, R., Furla, P., Galand, P. E., Ghiglione, J-f, Gilson, E., Gorsky, G., Guinther, M., Haentjens, N., Henry, N., Hertau, M., Hochart, C., Hume, B. C. C., Iwankow, G., John, S. G., Karp-boss, L., Kelly, R. L., Kitano, Y., Klinges, G., Koren, I, Labadie, K., Lancelot, J., Lang-yona, N., Le-hoang, J., Lemee, R., Lin, Y., Lombard, F., Marie, D., Mcmind, R., Miguel-gordo, M., Trainic, M., Monmarche, D., Moulin, C., Mucherie, Y., Noel, B., Ottaviani, A., Paoli, L., Pedrotti, M-l, Pesant, S., Pogoreutz, C., Poulain, J., Pujo-pay, M., Reverdin, G., Reynaud, S., Romac, S., Rothig, T., Rottinger, E., Rouan, A., Ruscheweyh, H-j, Salazar, G., Sullivan, M. B., Sunagawa, S., Thomas, O. P., Trouble, R., Vardi, A., Vega-thunder, R., Voolstra, C. R., Wincker, P., Zahed, A., Zamoum, T., Ziegler, M., Zoccola, D., Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Centre Scientifique de Monaco (CSM), Tara Expéditions, Shimoda Marine Research Center, Université de Tsukuba = University of Tsukuba, University of Maine, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), 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-Saclay-Centre National de la Recherche Scientifique (CNRS), Géochrononologie Traceurs Archéométrie (GEOTRAC), 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-Saclay-Centre National de la Recherche Scientifique (CNRS)-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-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Earth and Planetary Science [Rehovot], Weizmann Institute of Science [Rehovot, Israël], Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Laboratoire d'Ecogéochimie des environnements benthiques (LECOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Océanographie Microbienne (LOMIC), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Center for Marine Environmental Sciences [Bremen] (MARUM), Universität Bremen, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), ECOlogy of MArine Plankton (ECOMAP), Adaptation et diversité en milieu marin (ADMM), Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), Ohio State University [Columbus] (OSU), Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), National University of Ireland [Galway] (NUI Galway), Oregon State University (OSU), University of Konstanz, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Génomique métabolique (UMR 8030), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Duke University [Durham], Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Marine Chemistry and Geochemistry (WHOI), Woods Hole Oceanographic Institution (WHOI), Évolution, génomes, comportement et écologie (EGCE), Université Paris-Sud - Paris 11 (UP11)-IRD-Centre National de la Recherche Scientifique (CNRS), Department of Earth Sciences [USC Los Angeles], University of Southern California (USC), Martin Ryan Institute, Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), University of Derby [United Kingdom], Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), ANR-17-CE02-0020,CORALGENE,Complexité génomique de l'holobionte ' corail ' à l'échelle du Pacifique(2017), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), Université des Antilles (UA)-Institut d'écologie et environnement-Université de la Nouvelle-Calédonie (UNC)-Université de la Polynésie Française (UPF)-Université de La Réunion (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Université des Antilles et de la Guyane (UAG)-Institut de Recherche pour le Développement (IRD), Institut de biologie de l'ENS Paris (UMR 8197/1024) (IBENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université Nice Sophia Antipolis (... - 2019) (UNS), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire océanologique de Banyuls (OOB), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-IRD-Université Paris-Sud - Paris 11 (UP11), Institut Pierre-Simon-Laplace (IPSL (FR_636)), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Justus-Liebig-Universität Gießen (JLU), Institut Universitaire Européen de la Mer (IUEM), and Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)
Subjects: 0301 basic medicine, Topography, Coral reefs, Effects of global warming on oceans, Coral, Biodiversity, Marine and Aquatic Sciences, Ecosystem services, 0302 clinical medicine, Community Page, Oceans, Biology (General), Islands, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, geography.geographical_feature_category, Ecology, Microbiota, General Neuroscience, Eukaryota, Coral reef, Anthozoa, Plankton, Holobiont, Corals, Expeditions, General Agricultural and Biological Sciences, Marine ecosystems, QH301-705.5, Climate change, Marine Biology, Biology, Ecosystems, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, ddc:570, Animals, Metabolomics, Marine ecosystem, 14. Life underwater, Symbiosis, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, Landforms, geography, Pacific Ocean, General Immunology and Microbiology, ACL, Ecology and Environmental Sciences, Organisms, Biology and Life Sciences, Geomorphology, Bodies of Water, 15. Life on land, Invertebrates, 030104 developmental biology, 13. Climate action, Earth Sciences, Reefs, Metagenomics, Reef ecosystems, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 030217 neurology & neurosurgery
Abstract: Coral reefs are the most diverse habitats in the marine realm. Their productivity, structural complexity, and biodiversity critically depend on ecosystem services provided by corals that are threatened because of climate change effects—in particular, ocean warming and acidification. The coral holobiont is composed of the coral animal host, endosymbiotic dinoflagellates, associated viruses, bacteria, and other microeukaryotes. In particular, the mandatory photosymbiosis with microalgae of the family Symbiodiniaceae and its consequences on the evolution, physiology, and stress resilience of the coral holobiont have yet to be fully elucidated. The functioning of the holobiont as a whole is largely unknown, although bacteria and viruses are presumed to play roles in metabolic interactions, immunity, and stress tolerance. In the context of climate change and anthropogenic threats on coral reef ecosystems, the Tara Pacific project aims to provide a baseline of the “-omics” complexity of the coral holobiont and its ecosystem across the Pacific Ocean and for various oceanographically distinct defined areas. Inspired by the previous Tara Oceans expeditions, the Tara Pacific expedition (2016–2018) has applied a pan-ecosystemic approach on coral reefs throughout the Pacific Ocean, drawing an east–west transect from Panama to Papua New Guinea and a south–north transect from Australia to Japan, sampling corals throughout 32 island systems with local replicates. Tara Pacific has developed and applied state-of-the-art technologies in very-high-throughput genetic sequencing and molecular analysis to reveal the entire microbial and chemical diversity as well as functional traits associated with coral holobionts, together with various measures on environmental forcing. This ambitious project aims at revealing a massive amount of novel biodiversity, shedding light on the complex links between genomes, transcriptomes, metabolomes, organisms, and ecosystem functions in coral reefs and providing a reference of the biological state of modern coral reefs in the Anthropocene., This Community Page article presents the Tara Pacific expedition, which aims to shed light on the complex links between genomes, transcriptomes, metabolomes, organisms, and ecosystem functions in coral reefs, and providing a reference of the biological state of modern reef systems.
Published: 2019

25. Uncertainties in Ocean Colour Remote Sensing

Author: Boss, E., Brewin, R., Bulgarelli, B., Chauhan, P., Doerffer, R., Dutkiewicz, S., Ford, D., Franz, B., Frouin, R., Hieronymi, M., Hu, C., Hunt, S., Jackson, T., Jay, S., Jolivet, D., Jones, E., Kobayashi, H., Kwiatkowska, E., Lamquin, N., Lavender, S., Maritorena, S., Martinez-Vicent, V., and McKinna, L.
Abstract: This report on "Uncertainties in Ocean Colour Remote Sensing" summarizes the state of the knowledge on uncertainties related to ocean colour (OC) products and identifies ideas and recommendations to achieve significant progress on how uncertainties are quantified and distributed. The report starts with a presentation of terminology and concepts (Chapter 2). For a proper use of OC data, it is necessary to be aware of the potential problems and limitations associated with OC remote sensing products, and to identify the sources contributing to their uncertainties, from top-of-atmosphere (TOA) data to gridded products. This report makes a review of these factors (Chapter 3). Even though up to now very few OC products have been distributed with uncertainty estimates, a number of approaches to quantify OC product uncertainties have been proposed in recent years; providing a review of these methods and discussing their respective advantages appear particularly timely (Chapter 4). It is also .....
Published: 2019

26. ProVal A profiling float dedicated to radiometric measurements

Author: Leymarie, E., Penkerc'H, C, Vellucci, V., Lerebourg, C, Antoine, D, Boss, E., Lewis, M, Claustre, Hervé, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Analytic and Computational Research, Inc. - Earth Sciences (ACRI-ST), Service de Chimie des Procédés de Séparation (SCPS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and Leymarie, Edouard
Subjects: [SDU.STU.OC] Sciences of the Universe [physics]/Earth Sciences/Oceanography, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Abstract: International audience; In-situ high quality measurements of radiometric quantities are mandatory to enable a "system vicarious calibration" (SVC) of satellite sensors dedicated to Ocean Color Radiometry (OCR) as well as to validate their derived products. High density of acquisition is particularly critical during the early stages of an OCR satellite activity. The ProVal float measures downward irradiance and upwelling radiance at seven wavelengths on two arms that allow radiometer redundancy and shading mitigation. We analyzed more than 500 profiles sampled in the Southern Ocean and Mediterranean Sea to date. We find that 45% and 85% of data in the surface layer exhibit tilts lower than 10°in the Southern Ocean and Mediterranean Sea respectively. Floats deployed in the Mediterranean Sea were recovered allowing post-deployment calibrations of radiometers that confirmed the low sensor drift. In addition, platform shading, estimated from the difference between the two radiometers, shows good agreement with Monte-Carlo simulations. Finally, comparisons of Remote Sensing Reflectance with the OLCI sensor (Sentinel-3A) show results in agreement with other sources of in-situ data but with extended coverage capabilities.
Published: 2018

27. Global in-situ imaging of large plankton and particles by the Underwater Vision Profiler in the upper kilometer of all oceans

Author: Stemmann, L., Lombard, F., Guidi, L, Coppola, L., Irisson, J.O., Picheral, M., Lafond, A., Waite, A., Biard, T., Boss, E., Hauss, H., Mcdonnell, A., Babin, M., Ohman, M., Kiko, R., Gorsky, G., Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut des Matériaux Jean Rouxel (IMN), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Service de Chimie des Procédés de Séparation (SCPS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Takuvik Joint International Laboratory ULAVAL-CNRS, and Université Laval [Québec] (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Abstract: International audience
Published: 2018

28. Evaluating satellite estimates of particulate backscatter in the global open ocean using autonomous profiling floats

Author: Bisson, K. M., primary, Boss, E., additional, Westberry, T. K., additional, and Behrenfeld, M. J., additional
Published: 2019
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29. Intravenöse Lidocaintherapie bei Adiposis dolorosa (Dercum-Syndrom)

Author: Boss, E. G., Förster, W., and Schuh, F. T.
Published: 1991
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30. Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.

Author: Muller-Karger, F. E., Hestir, E., Ade, C., Turpie, K., Roberts, D., Siegel, D., Miller, R., Humm, D., Izenberg, N., Keller, M., Morgan, F., Frouin R., R., Dekker, A., Gardner, R., Goodman, J., Schaeffer, B., Franz, B., Pahlevan, N., Mannino, A. G., Concha, J. A., Ackleson, S. G., Najjar, R., Cavanaugh, K., Romanou, A., Tzortziou, M., Boss, E., Pavlick, R., Schimel, D., Freeman, A., Rousseaux, R. S., Dunne, J., Long, M., Klein, E., McKinley, G., Letelier, R., Roffer, M., Goes, J., Bracher, Astrid, Arrigo, K. R., Dierssen, H., Zhang, X., Davis, F., Best, B., Guralnick, R., Moisan, J., Sosik, H. M., Kavanaugh, M., Kudela, R., Mouw, C. B., Barnard, A., Palacios, S., Roessler, C., Drakou, E., Appeltans, W., Muller-Karger, F. E., Hestir, E., Ade, C., Turpie, K., Roberts, D., Siegel, D., Miller, R., Humm, D., Izenberg, N., Keller, M., Morgan, F., Frouin R., R., Dekker, A., Gardner, R., Goodman, J., Schaeffer, B., Franz, B., Pahlevan, N., Mannino, A. G., Concha, J. A., Ackleson, S. G., Najjar, R., Cavanaugh, K., Romanou, A., Tzortziou, M., Boss, E., Pavlick, R., Schimel, D., Freeman, A., Rousseaux, R. S., Dunne, J., Long, M., Klein, E., McKinley, G., Letelier, R., Roffer, M., Goes, J., Bracher, Astrid, Arrigo, K. R., Dierssen, H., Zhang, X., Davis, F., Best, B., Guralnick, R., Moisan, J., Sosik, H. M., Kavanaugh, M., Kudela, R., Mouw, C. B., Barnard, A., Palacios, S., Roessler, C., Drakou, E., and Appeltans, W.
Abstract: The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined s
Published: 2018

31. Implementation of laparoscopic hysterectomy for endometrial cancer over the past decade

Author: Wollinga, TX, Ezendam, NPM, Eggink, FA, Smink, M, van Hamont, D, Pijlman, B, Boss, E, Robbe, EJ, Ngo, H, Boll, D, Mom, CH, van der Aa, MA, Kruitwagen, R, Nijman, HW, Pijnenborg, JMA, Wollinga, TX, Ezendam, NPM, Eggink, FA, Smink, M, van Hamont, D, Pijlman, B, Boss, E, Robbe, EJ, Ngo, H, Boll, D, Mom, CH, van der Aa, MA, Kruitwagen, R, Nijman, HW, and Pijnenborg, JMA
Published: 2018

32. Implementation of laparoscopic hysterectomy for endometrial cancer over the past decade

Author: Wollinga, T., Ezendam, N.P.M., Eggink, F.A., Smink, M., van Hamont, D., Pijlman, B., Boss, E., Robbe, E.J., Ngo, H., Boll, D., Mom, C.H., van der Aa, M.A., Kruitwagen, R.F.L.P., Nijman, H.W., Pijnenborg, J.M.A., Wollinga, T., Ezendam, N.P.M., Eggink, F.A., Smink, M., van Hamont, D., Pijlman, B., Boss, E., Robbe, E.J., Ngo, H., Boll, D., Mom, C.H., van der Aa, M.A., Kruitwagen, R.F.L.P., Nijman, H.W., and Pijnenborg, J.M.A.
Abstract: Background: Laparoscopic hysterectomy (LH) for the treatment of early-stage endometrial carcinoma/cancer (EC) has demonstrated to be safe in several randomized controlled trials. Yet, data on implementation of LH in clinical practice are limited. In the present study, implementation of LH for EC was evaluated in a large oncology network in the Netherlands. Results: Retrospectively, a total of 556 EC patients with FIGO stage I-II were registered in the selected years. The proportion of LH gradually increased from 11% in 2006 to 85% in 2015. LH was more often performed in patients with low-grade EC and was not related to the studied patient characteristics. The introduction of TLH was frequently preceded by LAVH. Patients treated in teaching hospitals were more likely to undergo a LH compared to patients in non-teaching hospitals. The conversion rate was 7.7%, and the overall complication rates between LH and AH were comparable, but less postoperative complications in LH. Conclusions: Implementation of laparoscopic hysterectomy for early-stage EC increased from 11 to 85% in 10 years. Implementation of TLH was often preceded by LAVH and was faster in teaching hospitals.
Published: 2018

33. ProVal: A new autonomous profiling float for high quality radiometric measurements

Author: Leymarie, E., Penkerc'h, C., Vellucci, V., Lerebourg, C., Antoine, David, Boss, E., Lewis, M., D'Ortenzio, F., Claustre, H., Leymarie, E., Penkerc'h, C., Vellucci, V., Lerebourg, C., Antoine, David, Boss, E., Lewis, M., D'Ortenzio, F., and Claustre, H.
Abstract: An efficient system to produce in situ high quality radiometric measurements is compulsory to rigorously perform the vicarious calibration of satellite sensors dedicated to Ocean Color Radiometry (OCR) and to validate their derived products. This requirement is especially needed during the early stages of an OCR satellite activity or for remote areas poorly covered by oceanographic cruises with possible bio-optical anomalies. Taking advantage of Argo's profiling float technology, we present a new autonomous profiling float dedicated to in situ radiometric measurements. The float is based on the Provor CTS5 (manufacturer NKE) with an added novel two protruding arm design allowing for sensor redundancies, shading mitigation and near-surface data. Equipped with two identical radiometers on each arm that measure downward irradiance and upwelling radiance at seven wavelengths, the ProVal float generates both redundant radiometric profiles as well as an estimate of Remote Sensing Reflectance. Results from 449 profiles obtained in the NW Mediterranean Sea and in the Indian sector of the Southern Ocean are presented to illustrate the ProVal float technical maturity. Analysis of the behavior of the profiling float, including tilting and ascent speeds is presented. The vertical stability of the ProVal exhibits 85% of surface data of the Mediterranean Sea with a tilt smaller than 10 degrees. This percentage is 40% in the Southern Ocean due to rougher seas. Redundant sensors provide a characterization of the relative drift between sensors over the deployment which is found to be < 0.15% per month over a year. Post-cruise calibration of a recovered float revealed no significant drift. As an example of the utility of ProVal floats, a match-up of Remote Sensing Reflectance measured with the European Space Agency Ocean and Land Color Imager (OLCI onboard Sentinel-3A) is shown. It follows that profiling floats, such as ProVal, could provide a significant contribution to an upcomi
Published: 2018

34. Coccolithovirus facilitation of carbon export in the North Atlantic

Author: Laber, C., Hunter, J., Carvalho, F., Collins, J., Hunter, E., Schieler, B., Boss, E., More, K., Frada, M., Thamatrakoln, K., Brown, C., Haramaty, L., Ossolinski, J., Fredricks, H., Nissimov, J., Vandzura, R., Sheyn, U., Lehahn, Y., Chant, R., Martins, A., Coolen, Marco, Vardi, A., Ditullio, G., Van Mooy, B., Bidle, K., Laber, C., Hunter, J., Carvalho, F., Collins, J., Hunter, E., Schieler, B., Boss, E., More, K., Frada, M., Thamatrakoln, K., Brown, C., Haramaty, L., Ossolinski, J., Fredricks, H., Nissimov, J., Vandzura, R., Sheyn, U., Lehahn, Y., Chant, R., Martins, A., Coolen, Marco, Vardi, A., Ditullio, G., Van Mooy, B., and Bidle, K.
Abstract: Marine phytoplankton account for approximately half of global primary productivity 1 , making their fate an important driver of the marine carbon cycle. Viruses are thought to recycle more than one-quarter of oceanic photosynthetically fixed organic carbon 2 , which can stimulate nutrient regeneration, primary production and upper ocean respiration 2 via lytic infection and the 'virus shunt'. Ultimately, this limits the trophic transfer of carbon and energy to both higher food webs and the deep ocean 2 . Using imagery taken by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite, along with a suite of diagnostic lipid-and gene-based molecular biomarkers, in situ optical sensors and sediment traps, we show that Coccolithovirus infections of mesoscale (~100 km) Emiliania huxleyi blooms in the North Atlantic are coupled with particle aggregation, high zooplankton grazing and greater downward vertical fluxes of both particulate organic and particulate inorganic carbon from the upper mixed layer. Our analyses captured blooms in different phases of infection (early, late and post) and revealed the highest export flux in 'early-infected blooms' with sinking particles being disproportionately enriched with infected cells and subsequently remineralized at depth in the mesopelagic. Our findings reveal viral infection as a previously unrecognized ecosystem process enhancing biological pump efficiency.
Published: 2018

35. Lipid Profiles, Inflammatory Markers, and Insulin Therapy in Youth with Type 2 Diabetes

Author: Levitt Katz, Lorraine E., primary, Bacha, Fida, additional, Gidding, Samuel S., additional, Weinstock, Ruth S., additional, El ghormli, Laure, additional, Libman, Ingrid, additional, Nadeau, Kristen J., additional, Porter, Kristin, additional, Marcovina, Santica, additional, McKay, S., additional, Haymond, M., additional, Anderson, B., additional, Bush, C., additional, Gunn, S., additional, Holden, H., additional, Jones, S.M., additional, Jeha, G., additional, McGirk, S., additional, Thamotharan, S., additional, Cuttler, L., additional, Abrams, E., additional, Casey, T., additional, Dahms, W., additional, Ievers-Landis, C., additional, Kaminski, B., additional, Koontz, M., additional, MacLeish, S., additional, McGuigan, P., additional, Narasimhan, S., additional, Geffner, M., additional, Barraza, V., additional, Chang, N., additional, Conrad, B., additional, Dreimane, D., additional, Estrada, S., additional, Fisher, L., additional, Fleury-Milfort, E., additional, Hernandez, S., additional, Hollen, B., additional, Kaufman, F., additional, Law, E., additional, Mansilla, V., additional, Miller, D., additional, Muñoz, C., additional, Ortiz, R., additional, Ward, A., additional, Wexler, K., additional, Xu, Y.K., additional, Yasuda, P., additional, Berkowitz, R., additional, Boyd, S., additional, Johnson, B., additional, Kaplan, J., additional, Keating, C., additional, Lassiter, C., additional, Lipman, T., additional, McGinley, G., additional, McKnight, H., additional, Schwartzman, B., additional, Willi, S., additional, Arslanian, S., additional, Foster, S., additional, Galvin, B., additional, Hannon, T., additional, Kriska, A., additional, Marcus, M., additional, Songer, T., additional, Venditti, E., additional, Goland, R., additional, Gallagher, D., additional, Kringas, P., additional, Leibel, N., additional, Ng, D., additional, Ovalles, M., additional, Seidman, D., additional, Laffel, L., additional, Goebel-Fabbri, A., additional, Hall, M., additional, Higgins, L., additional, Keady, J., additional, Malloy, M., additional, Milaszewski, K., additional, Rasbach, L., additional, Nathan, D.M., additional, Angelescu, A., additional, Bissett, L., additional, Ciccarelli, C., additional, Delahanty, L., additional, Goldman, V., additional, Hardy, O., additional, Larkin, M., additional, Levitsky, L., additional, McEachern, R., additional, Norman, D., additional, Nwosu, D., additional, Park-Bennett, S., additional, Richards, D., additional, Sherry, N., additional, Steiner, B., additional, Tollefsen, S., additional, Carnes, S., additional, Dempsher, D., additional, Flomo, D., additional, Whelan, T., additional, Wolff, B., additional, Bowerman, D., additional, Bristol, S., additional, Bulger, J., additional, Hartsig, J., additional, Izquierdo, R., additional, Kearns, J., additional, Saletsky, R., additional, Trief, P., additional, Zeitler, P., additional, Abramson, N., additional, Bradhurst, A., additional, Celona-Jacobs, N., additional, Higgins, J., additional, Kelsey, M., additional, Klingensmith, G., additional, Witten, T., additional, Copeland, K., additional, Boss, E., additional, Brown, R., additional, Chadwick, J., additional, Chalmers, L., additional, Chernausek, S., additional, Hebensperger, A., additional, Macha, C., additional, Newgent, R., additional, Nordyke, A., additional, Olson, D., additional, Poulsen, T., additional, Pratt, L., additional, Preske, J., additional, Schanuel, J., additional, Sternlof, S., additional, Lynch, J., additional, Amodei, N., additional, Barajas, R., additional, Cody, C., additional, Hale, D., additional, Hernandez, J., additional, Ibarra, C., additional, Morales, E., additional, Rivera, S., additional, Rupert, G., additional, Wauters, A., additional, White, N., additional, Arbeláez, A., additional, Jones, J., additional, Jones, T., additional, Sadler, M., additional, Tanner, M., additional, Timpson, A., additional, Welch, R., additional, Caprio, S., additional, Grey, M., additional, Guandalini, C., additional, Lavietes, S., additional, Rose, P., additional, Syme, A., additional, Tamborlane, W., additional, Hirst, K., additional, Edelstein, S., additional, Feit, P., additional, Grover, N., additional, Long, C., additional, Pyle, L., additional, Linder, B., additional, Harting, J., additional, Shepherd, J., additional, Fan, B., additional, Marquez, L., additional, Sherman, M., additional, Wang, J., additional, Nichols, M., additional, Mayer-Davis, E., additional, Liu, Y., additional, Lima, J., additional, Puccella, J., additional, Ricketts, E., additional, Danis, R., additional, Domalpally, A., additional, Goulding, A., additional, Neill, S., additional, Vargo, P., additional, Wilfley, D., additional, Aldrich-Rasche, D., additional, Franklin, K., additional, Massmann, C., additional, O'Brien, D., additional, Patterson, J., additional, Tibbs, T., additional, Van Buren, D., additional, Palmert, M., additional, Ratner, R., additional, Dremaine, D., additional, and Silverstein, J., additional
Published: 2018
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36. Insulin Sensitivity and Diabetic Kidney Disease in Children and Adolescents With Type 2 Diabetes: An Observational Analysis of Data From the TODAY Clinical Trial

Author: Bjornstad, Petter, primary, Nehus, Edward, additional, El ghormli, Laure, additional, Bacha, Fida, additional, Libman, Ingrid M., additional, McKay, Siripoom, additional, Willi, Steven M., additional, Laffel, Lori, additional, Arslanian, Silva, additional, Nadeau, Kristen J., additional, McKay, S., additional, Haymond, M., additional, Anderson, B., additional, Bush, C., additional, Gunn, S., additional, Holden, H., additional, Jones, S.M., additional, Jeha, G., additional, McGirk, S., additional, Thamotharan, S., additional, Cuttler, L., additional, Abrams, E., additional, Casey, T., additional, Dahms, W., additional, Ievers-Landis, C., additional, Kaminski, B., additional, Koontz, M., additional, MacLeish, S., additional, McGuigan, P., additional, Narasimhan, S., additional, Geffner, M., additional, Barraza, V., additional, Chang, N., additional, Conrad, B., additional, Dreimane, D., additional, Estrada, S., additional, Fisher, L., additional, Fleury-Milfort, E., additional, Hernandez, S., additional, Hollen, B., additional, Kaufman, F., additional, Law, E., additional, Mansilla, V., additional, Miller, D., additional, Muñoz, C., additional, Ortiz, R., additional, Ward, A., additional, Wexler, K., additional, Xu, Y.K., additional, Yasuda, P., additional, Levitt Katz, L., additional, Berkowitz, R., additional, Boyd, S., additional, Johnson, B., additional, Kaplan, J., additional, Keating, C., additional, Lassiter, C., additional, Lipman, T., additional, McGinley, G., additional, McKnight, H., additional, Schwartzman, B., additional, Willi, S., additional, Arslanian, S., additional, Bacha, F., additional, Foster, S., additional, Galvin, B., additional, Hannon, T., additional, Kriska, A., additional, Libman, I., additional, Marcus, M., additional, Porter, K., additional, Songer, T., additional, Venditti, E., additional, Goland, R., additional, Gallagher, D., additional, Kringas, P., additional, Leibel, N., additional, Ng, D., additional, Ovalles, M., additional, Seidman, D., additional, Laffel, L., additional, Goebel-Fabbri, A., additional, Hall, M., additional, Higgins, L., additional, Keady, J., additional, Malloy, M., additional, Milaszewski, K., additional, Rasbach, L., additional, Nathan, D.M., additional, Angelescu, A., additional, Bissett, L., additional, Ciccarelli, C., additional, Delahanty, L., additional, Goldman, V., additional, Hardy, O., additional, Larkin, M., additional, Levitsky, L., additional, McEachern, R., additional, Norman, D., additional, Nwosu, D., additional, Park-Bennett, S., additional, Richards, D., additional, Sherry, N., additional, Steiner, B., additional, Tollefsen, S., additional, Carnes, S., additional, Dempsher, D., additional, Flomo, D., additional, Whelan, T., additional, Wolff, B., additional, Weinstock, R., additional, Bowerman, D., additional, Bristol, S., additional, Bulger, J., additional, Hartsig, J., additional, Izquierdo, R., additional, Kearns, J., additional, Saletsky, R., additional, Trief, P., additional, Zeitler, P., additional, Abramson, N., additional, Bradhurst, A., additional, Celona-Jacobs, N., additional, Higgins, J., additional, Kelsey, M., additional, Klingensmith, G., additional, Nadeau, K., additional, Witten, T., additional, Copeland, K., additional, Boss, E., additional, Brown, R., additional, Chadwick, J., additional, Chalmers, L., additional, Chernausek, S., additional, Hebensperger, A., additional, Macha, C., additional, Newgent, R., additional, Nordyke, A., additional, Olson, D., additional, Poulsen, T., additional, Pratt, L., additional, Preske, J., additional, Schanuel, J., additional, Sternlof, S., additional, Lynch, J., additional, Amodei, N., additional, Barajas, R., additional, Cody, C., additional, Hale, D., additional, Hernandez, J., additional, Ibarra, C., additional, Morales, E., additional, Rivera, S., additional, Rupert, G., additional, Wauters, A., additional, White, N., additional, Arbeláez, A., additional, Jones, J., additional, Jones, T., additional, Sadler, M., additional, Tanner, M., additional, Timpson, A., additional, Welch, R., additional, Caprio, S., additional, Grey, M., additional, Guandalini, C., additional, Lavietes, S., additional, Rose, P., additional, Syme, A., additional, Tamborlane, W., additional, Hirst, K., additional, Edelstein, S., additional, Feit, P., additional, Grover, N., additional, Long, C., additional, Pyle, L., additional, Linder, B., additional, Marcovina, S.M., additional, Harting, J., additional, Shepherd, J., additional, Fan, B., additional, Marquez, L., additional, Sherman, M., additional, Wang, J., additional, Nichols, M., additional, Mayer-Davis, E., additional, Liu, Y., additional, Lima, J., additional, Gidding, S., additional, Puccella, J., additional, Ricketts, E., additional, Danis, R., additional, Domalpally, A., additional, Goulding, A., additional, Neill, S., additional, Vargo, P., additional, Wilfley, D., additional, Aldrich-Rasche, D., additional, Franklin, K., additional, Massmann, C., additional, O’Brien, D., additional, Patterson, J., additional, Tibbs, T., additional, Van Buren, D., additional, Palmert, M., additional, Ratner, R., additional, Dremaine, D., additional, and Silverstein, J., additional
Published: 2018
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37. Estimation of Phytoplankton Accessory Pigments From Hyperspectral Reflectance Spectra: Toward a Global Algorithm

Author: Chase, A. P., primary, Boss, E., additional, Cetinić, I., additional, and Slade, W., additional
Published: 2017
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38. High-resolution Bio-Argo and Argo measurements to reveal specific oceanic processes

Author: Poteau, Antoine, Claustre, Hervé, Briggs, N, d'Ortenzio, F., Schmechtig, C, Prieur, L, Boss, E, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Poteau, Antoine, Observatoire océanologique de Villefranche-sur-mer (OOVM), and Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2016

39. Report on IOCCG workshop

Author: Bracher, A., Hardman-Mountford, N., Hirata, T., Bernard, S., Boss, E., Brewin, R., Bricaud, A., Brotas, V., Chase, A., Ciotti, A., Choi, J.K., Clementson, L., Devred, E., DiGiacomo, P., Dupouy, Cécile, Hirawake, T., Kim, W., Kostadinov, T., Kwiatkowska, E., Lavender, S., Moisan, T., Mouw, C., Son, S., Sosik, H., Uitz, J., Werdell, J., and Zheng, G.
Subjects: PHYTOPLANCTON, DONNEES SATELLITE, TELEDETECTION SPATIALE, PROGRAMME DE RECHERCHE, ANALYSE DE DONNEES
Published: 2015

40. Generalized ocean color inversion model for retrieving marine inherent optical properties

Author: Werdell, P. J., Franz, B. A., Bailey, S. W., Feldman, G.C., Boss, E., Brando, V. E., Dowell, M., Hirata, T., Lavender, S., Lee, Z., Loisel, Hubert, Maritorena, S., Mélin, F., Moore, T., Smyth, T., Antoine, David, Devred, E., Hembise, O., d'Andon, F., Mangin, Alain, Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 (LOG), Institut national des sciences de l'Univers (INSU - CNRS)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Nord]), and Centre National de la Recherche Scientifique (CNRS)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut national des sciences de l'Univers (INSU - CNRS)
Subjects: Water mass, 010504 meteorology & atmospheric sciences, business.industry, Computer science, Software as a service, Inversion (meteorology), 01 natural sciences, Atomic and Molecular Physics, and Optics, 010309 optics, symbols.namesake, Software, Optics, Ocean color, Attenuation coefficient, 0103 physical sciences, symbols, Radiative transfer, Satellite, 14. Life underwater, Electrical and Electronic Engineering, Rayleigh scattering, business, Engineering (miscellaneous), [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, 0105 earth and related environmental sciences
Abstract: International audience; Ocean color measured from satellites provides daily, global estimates of marine inherent optical properties (IOPs). Semi-analytical algorithms (SAAs) provide one mechanism for inverting the color of the water observed by the satellite into IOPs. While numerous SAAs exist, most are similarly constructed and few are appropriately parameterized for all water masses for all seasons. To initiate community-wide discussion of these limitations, NASA organized two workshops that deconstructed SAAs to identify similarities and uniqueness and to progress toward consensus on a unified SAA. This effort resulted in the development of the generalized IOP (GIOP) model software that allows for the construction of different SAAs at runtime by selection from an assortment of model parameterizations. As such, GIOP permits isolation and evaluation of specific modeling assumptions, construction of SAAs, development of regionally tuned SAAs, and execution of ensemble inversion modeling. Working groups associated with the workshops proposed a preliminary default configuration for GIOP (GIOP-DC), with alternative model parameterizations and features defined for subsequent evaluation. In this paper, we: (1) describe the theoretical basis of GIOP; (2) present GIOP-DC and verify its comparable performance to other popular SAAs using both in situ and synthetic data sets; and, (3) quantify the sensitivities of their output to their parameterization. We use the latter to develop a hierarchical sensitivity of SAAs to various model parameterizations, to identify components of SAAs that merit focus in future research, and to provide material for discussion on algorithm uncertainties and future emsemble applications.
Published: 2013

41. Southern Ocean Biogeochemical Float Deployment Strategy, With Example From the Greenwich Meridian Line (GO‐SHIP A12)

Author: Talley, L. D., Rosso, I., Kamenkovich, I., Mazloff, M. R., Wang, J., Boss, E., Gray, A. R., Johnson, K. S., Key, R. M., Riser, S. C., Williams, N. L., and Sarmiento, J. L.
Abstract: Biogeochemical Argo floats, profiling to 2,000‐m depth, are being deployed throughout the Southern Ocean by the Southern Ocean Carbon and Climate Observations and Modeling program (SOCCOM). The goal is 200 floats by 2020, to provide the first full set of annual cycles of carbon, oxygen, nitrate, and optical properties across multiple oceanographic regimes. Building from no prior coverage to a sparse array, deployments are based on prior knowledge of water mass properties, mean frontal locations, mean circulation and eddy variability, winds, air‐sea heat/freshwater/carbon exchange, prior Argo trajectories, and float simulations in the Southern Ocean State Estimate and Hybrid Coordinate Ocean Model (HYCOM). Twelve floats deployed from the 2014–2015 Polarstern cruise from South Africa to Antarctica are used as a test case to evaluate the deployment strategy adopted for SOCCOM's 20 deployment cruises and 126 floats to date. After several years, these floats continue to represent the deployment zones targeted in advance: (1) Weddell Gyre sea ice zone, observing the Antarctic Slope Front, and a decadally‐rare polynya over Maud Rise; (2) Antarctic Circumpolar Current (ACC) including the topographically steered Southern Zone chimneywhere upwelling carbon/nutrient‐rich deep waters produce surprisingly large carbon dioxide outgassing; (3) Subantarctic and Subtropical zones between the ACC and Africa; and (4) Cape Basin. Argo floats and eddy‐resolving HYCOM simulations were the best predictors of individual SOCCOM float pathways, with uncertainty after 2 years of order 1,000 km in the sea ice zone and more than double that in and north of the ACC. The Southern Ocean, which surrounds Antarctica, is a huge, very sparsely observed region. But we know from the decades of observations and from computer models that the Southern Ocean is a major player in the Earth's climate, taking up a significant fraction of the excess carbon dioxide from the atmosphere and absorbing a large fraction of the extra heat that results from that extra carbon dioxide. The extra carbon dioxide is also acidifying the Southern Ocean waters. To observe these, we are expanding one of the major ocean‐observing systems: Argoprofiling floats that measure temperature and salinity to 2,000‐m depth every 10 days. SOCCOM has (1) added extra sensors that measure the ocean's pH, oxygen, nitrate, chlorophyll, and particles; (2) developed algorithms to derive the rest of the carbon budget terms, and (3) vigorously expanded Argo into the enormous seasonal ice zone. We are deploying about 30 floats per year all around Antarctica. We describe our strategy for float deployments in 2014 in the large region between Africa and Antarctica, describing the circulation, water properties, and forcing of this region. We evaluate how well we met our goal of sampling each of the distinct oceanographic regimes. SOCCOM float deployment strategy is based on prior water mass, frontal zone, forcing, and circulation information from data and modelsThese floats were deployed in the sea ice zone, Weddell and Ross Seas, Antarctic Circumpolar Current, and Subantarctic and Subtropical ZonesFloats have already provided information on carbon outgassing, mixing during Maud Rise polynya, oxygen utilization, and net community production
Published: 2019
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42. Plankton and Particle Size and Packaging: From Determining Optical Properties to Driving the Biological Pump

Author: Stemmann, L., Boss, E., Laboratoire d'océanographie de Villefranche (LOV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), University of Maine, Carlson, CA and Giovannoni, SJ, and Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Abstract: International audience; Understanding pelagic ecology and quantifying energy fluxes through the trophic web and from the surface to the deep ocean requires the ability to detect and identify all organisms and particles in situ and in a synoptic manner. An idealized sensor should observe both the very small living or dead particles such as picoplankton and detritus, respectively, and the large particles such as aggregates and meso- to macroplankton. Such an instrument would reveal an astonishing amount and diversity of living and nonliving particles present in a parcel of water. Unfortunately such sensors do not exist. However, complex interactions constrain the space, temporal, and size distributions of these objects in such ways that general rules can be inferred from the measurement of their optical properties. Recent technological developments allow for the in situ measurement of the optical properties and size distributions of particles and plankton in a way such that synoptic surveys are possible. This review deals with particle and plankton size distributions (PSDs) as well as how particles' geometry and nature affect their optical properties. Finally, we propose the integration of the PSD into size-structured mathematical models of biogeochemical fluxes.
Published: 2012

43. Decoupling Physical from Biological Processes to Assess the Impact of Viruses on a Mesoscale Algal Bloom

Author: Lehahn, Y., Koren, I., Schatz, D., Frada, M., Sheyn, U., Boss, E., Efrati, S., Rudich, Y., Trainic, M., Sharoni, S., Laber, C., DiTullio, G.R., Coolen, Marco, Martins, A., Mooy, B.A.V., Bidle, K.D., Vardi, A., Lehahn, Y., Koren, I., Schatz, D., Frada, M., Sheyn, U., Boss, E., Efrati, S., Rudich, Y., Trainic, M., Sharoni, S., Laber, C., DiTullio, G.R., Coolen, Marco, Martins, A., Mooy, B.A.V., Bidle, K.D., and Vardi, A.
Abstract: Phytoplankton blooms are ephemeral events of exceptionally high primary productivity that regulate the flux of carbon across marine food webs [1–3]. Quantification of bloom turnover [4] is limited by a fundamental difficulty to decouple between physical and biological processes as observed by ocean color satellite data. This limitation hinders the quantification of bloom demise and its regulation by biological processes [5, 6], which has important consequences on the efficiency of the biological pump of carbon to the deep ocean [7–9]. Here, we address this challenge and quantify algal blooms’ turnover using a combination of satellite and in situ data, which allows identification of a relatively stable oceanic patch that is subject to little mixing with its surroundings. Using a newly developed multisatellite Lagrangian diagnostic, we decouple the contributions of physical and biological processes, allowing quantification of a complete life cycle of a mesoscale (∼10–100 km) bloom of coccolithophores in the North Atlantic, from exponential growth to its rapid demise. We estimate the amount of organic carbon produced during the bloom to be in the order of 24,000 tons, of which two-thirds were turned over within 1 week. Complimentary in situ measurements of the same patch area revealed high levels of specific viruses infecting coccolithophore cells, therefore pointing at the importance of viral infection as a possible mortality agent. Application of the newly developed satellite-based approaches opens the way for large-scale quantification of the impact of diverse environmental stresses on the fate of phytoplankton blooms and derived carbon in the ocean.
Published: 2014

44. Gonadotropins and female sex steroid hormones in cyst fluid and serum from patients with ovarian tumors

Author: Thomas, C. M. G., Boss, E. A., Boonstra, H., Tienoven, D., Fred Sweep, and Massuger, L. F. A. G.
Subjects: endocrine system, Hereditary cancer and cancer-related syndromes [ONCOL 1], endocrine system diseases, Translational research [ONCOL 3], Endocrinology and reproduction [UMCN 5.2], Hormonal regulation [IGMD 6], Immunotherapy, gene therapy and transplantation [UMCN 1.4], Aetiology, screening and detection [ONCOL 5], female genital diseases and pregnancy complications, Molecular diagnosis, prognosis and monitoring [UMCN 1.2]
Abstract: Item does not contain fulltext The objective of the present study was to determine the concentrations of LH, FSH, 17beta-estradiol and progesterone in ovarian cyst fluid and serum from patients with benign and malignant ovarian tumors and to assess the correlation of the gonadotropin and female sex steroid hormone concentrations with menopausal and tumor status. Ovarian cyst fluid and blood samples were prospectively collected from 103 patients with ovarian tumors. Seventy-four of the patients had benign ovarian tumors while 29 patients had malignant ovarian tumors. Malignant ovarian tumors showed significantly higher LH and FSH cyst fluid concentrations compared to concentrations from patients with benign tumors. Within the malignant subset, LH and FSH concentrations correlated with increasing FIGO stage and grade. Furthermore, LH and FSH cyst fluid concentrations showed strong correlations (r > 0.62) with serum concentrations in case of malignant tumors, especially in postmenopausal women, but not in case of benign tumors. The highest gonadotropin concentrations were observed in cyst fluid from malignant ovarian tumors. The most probable explanation for this is an increased vascular permeability within the cysts. Supportive evidence for such an increased vascular permeability is our previous finding of significantly higher VEGF concentrations in cyst fluid from malignant ovarian tumors. The possibility of ectopic production of LH and FSH by malignant ovarian tissue cannot completely be ruled out.
Published: 2008

45. The Journal of Robert Stodart, being an Account of his experiences as a member of Sir Dodmore Cotton's Mission in Persia in 1628—29

Author: Boss, E. Denison, primary
Published: 1936
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46. Use of remote-sensing reflectance to constrain a data assimilating marine biogeochemical model of the Great Barrier Reef.

Author: Jones, Emlyn M., Baird, Mark E., Mongin, Mathieu, Parslow, John, Skerratt, Jenny, Lovell, Jenny, Margvelashvili, Nugzar, Matear, Richard J., Wild-Allen, Karen, Robson, Barbara, Rizwi, Farhan, Oke, Peter, King, Edward, Schroeder, Thomas, Steven, Andy, Taylor, John, Ciavatta, S., Boss, E., and Ford, D. A.
Subjects: MARINE ecology, REMOTE sensing, BIOGEOCHEMISTRY, CARBON cycle, NITROGEN cycle
Abstract: Skillful marine biogeochemical (BGC) models are required to understand a range of coastal and global phenomena such as changes in nitrogen and carbon cycles. The refinement of BGC models through the assimilation of variables calculated from observed in-water inherent optical properties (IOPs), such as phytoplankton absorption, is problematic. Empirically derived relationships between IOPs and variables such as chlorophyll-a concentration (Chl a), total suspended solids (TSS) and coloured dissolved organic matter (CDOM) have been shown to have errors that can exceed 100% of the observed quantity. These errors are greatest in shallow coastal regions, such as the Great Barrier Reef (GBR), due to the additional signal from bottom reflectance. Rather than assimilate quantities calculated using IOP algorithms, this study demonstrates the advantages of assimilating quantities calculated directly from the less error-prone satellite remote-sensing reflectance (RSR). To assimilate the observed RSR, we use an in-water optical model to produce an equivalent simulated RSR and calculate the mismatch between the observed and simulated quantities to constrain the BGC model with a deterministic ensemble Kalman filter (DEnKF). The traditional assumption that simulated surface Chl a is equivalent to the remotely sensed OC3M estimate of Chl a resulted in a forecast error of approximately 75 %. We show this error can be halved by instead using simulated RSR to constrain the model via the assimilation system. When the analysis and forecast fields from the RSR-based assimilation system are compared with the non-assimilating model, a comparison against independent in situ observations of Chl a, TSS and dissolved inorganic nutrients (NO3, NH4 and DIP) showed that errors are reduced by up to 90 %. In all cases, the assimilation system improves the simulation compared to the non-assimilating model. Our approach allows for the incorporation of vast quantities of remote-sensing observations that have in the past been discarded due to shallow water and/or artefacts introduced by terrestrially derived TSS and CDOM or the lack of a calibrated regional IOP algorithm. [ABSTRACT FROM AUTHOR]
Published: 2016
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47. Generalized ocean color inversion model for retrieving marine inherent optical properties

Author: Werdell, P., Franz, B., Bailey, S., Feldman, G., Boss, E., Brando, V., Dowell, M., Hirata, T., Lavender, S., Lee, Z., Loisel, H., Maritorena, S., Melin, F., Moore, T., Smyth, T., Antoine, David, Devred, E., d’Andon, O., Mangin, A., Werdell, P., Franz, B., Bailey, S., Feldman, G., Boss, E., Brando, V., Dowell, M., Hirata, T., Lavender, S., Lee, Z., Loisel, H., Maritorena, S., Melin, F., Moore, T., Smyth, T., Antoine, David, Devred, E., d’Andon, O., and Mangin, A.
Abstract: Ocean color measured from satellites provides daily, global estimates of marine inherent optical properties (IOPs). Semi-analytical algorithms (SAAs) provide one mechanism for inverting the color of the water observed by the satellite into IOPs. While numerous SAAs exist, most are similarly constructed and few are appropriately parameterized for all water masses for all seasons. To initiate community-wide discussion of these limitations, NASA organized two workshops that deconstructed SAAs to identify similarities and uniqueness and to progress toward consensus on a unified SAA. This effort resulted in the development of the generalized IOP (GIOP) model software that allows for the construction of different SAAs at runtime by selection from an assortment of model parameterizations. As such, GIOP permits isolation and evaluation of specific modeling assumptions, construction of SAAs, development of regionally tuned SAAs, and execution of ensembe inversion modeling. Working groups associated with the workshops proposed a preliminary default configuration for GIOP (GIOP-DC), with alternative model parameterizations and features defined for subsequent evaluation. In this paper, we: (1) describe the theoretical basis of GIOP; (2) present GIOP-DC and verify its comparable performance to other popular SAAs using both in situ and synthetic data sets; and, (3) quantify the sensitivities of their output to their parameterization. We use the latter to develop a hierarchical sensitivity of SAAs to various model parameterizations, to identify components of SAAs that merit focus in future research, and to provide material for discussion on algorithm uncertainties and future ensemble applications.
Published: 2013

48. Regional to global assessments of phytoplankton dynamics from the SeaWiFS mission

Author: Siegel, D., Behrenfeld, M., Maritorena, S., McClain, C., Antoine, David, Bailey, S., Bontempi, P., Boss, E., Dierssen, H., Doney, S., Eplee, R., Evans, R., Feldman, G., Fields, E., Franz, B., Kuring, N., Mengelt, C., Nelson, N., Patt, F., Robinson, W., Sarmiento, J., Swan, C., Werdell, P., Westberry, T., Wilding, J., Yoder, J., Siegel, D., Behrenfeld, M., Maritorena, S., McClain, C., Antoine, David, Bailey, S., Bontempi, P., Boss, E., Dierssen, H., Doney, S., Eplee, R., Evans, R., Feldman, G., Fields, E., Franz, B., Kuring, N., Mengelt, C., Nelson, N., Patt, F., Robinson, W., Sarmiento, J., Swan, C., Werdell, P., Westberry, T., Wilding, J., and Yoder, J.
Abstract: Photosynthetic production of organic matter by microscopic oceanic phytoplankton fuels ocean ecosystems and contributes roughly half of the Earth's net primary production. For 13 years, the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) mission provided the first consistent, synoptic observations of global ocean ecosystems. Changes in the surface chlorophyll concentration, the primary biological property retrieved from SeaWiFS, have traditionally been used as a metric for phytoplankton abundance and its distributionlargely reflects patterns in vertical nutrient transport. On regional to global scales, chlorophyll concentrations covary with sea surface temperature (SST) because SST changes reflect light and nutrient conditions. However, the oceanmay be too complex to be well characterized using a single index such as the chlorophyll concentration. A semi-analytical bio-optical algorithm is used to help interpret regional to global SeaWiFS chlorophyll observations from using three independent, well-validated ocean color data products; the chlorophyll a concentration, absorption by CDM and particulate backscattering.First, we show that observed long-term, global-scale trends in standard chlorophyll retrievals are likely compromised by coincident changes in CDM. Second, we partition the chlorophyll signal into a component due to phytoplankton biomass changes and a component caused by physiological adjustments in intracellular chlorophyll concentrations to changes in mixed layer light levels. We show that biomass changes dominate chlorophyll signals for the high latitude seas and where persistent vertical upwelling is known to occur, while physiological processes dominate chlorophyll variability over much of the tropical and subtropical oceans. The SeaWiFS data set demonstrates complexity in the interpretation of changes in regional to global phytoplankton distributions and illustrates limitations for the assessment of phytoplankton dynamics using chlorophyll retrievals
Published: 2013

49. Use of autonomous profiling floats for validation and calibration of satellite ocean color estimates

Author: Ocean Optics, Gerbi, G., Boss, E., Fleming, R., Antoine, David, Brown, K., Barnard, A., DeDonato, M., Woodward, W., Proctor, C., Ocean Optics, Gerbi, G., Boss, E., Fleming, R., Antoine, David, Brown, K., Barnard, A., DeDonato, M., Woodward, W., and Proctor, C.
Published: 2012

50. Inferring phytoplankton carbon and eco-physiological rates from diel cycles of spectral particulate beam-attenuation coefficient

Author: Dall'Olmo, G., Boss, E., Behrenfeld, M. J., Westberry, T. K., Courties, C., Prieur, L., Pujo-pay, M., Hardman-mountford, N., Moutin, T., Dall'Olmo, G., Boss, E., Behrenfeld, M. J., Westberry, T. K., Courties, C., Prieur, L., Pujo-pay, M., Hardman-mountford, N., and Moutin, T.
Abstract: The diurnal fluctuations in solar irradiance impose a fundamental frequency on ocean biogeochemistry. Observations of the ocean carbon cycle at these frequencies are rare, but could be considerably expanded by measuring and interpreting the inherent optical properties. A method is presented to analyze diel cycles in particulate beam-attenuation coefficient (c(p)) measured at multiple wavelengths. The method is based on fitting observations with a size-structured population model coupled to an optical model to infer the particle size distribution and physiologically relevant parameters of the cells responsible for the measured diel cycle in c(p). Results show that the information related to size and contained in the spectral data can be exploited to independently estimate growth and loss rates during the day and night. In addition, the model can characterize the population of particles affecting the diel variability in c(p). Application of this method to spectral c(p) measured at a station in the oligotrophic Mediterranean Sea suggests that most of the observed variations in c(p) can be ascribed to a synchronized population of cells with an equivalent spherical diameter around 4.6 +/- 1.5 mu m. The inferred carbon biomass of these cells was about 5.2 +/- 6.0 mgm(-3) and accounted for approximately 10% of the total particulate organic carbon. If successfully validated, this method may improve our in situ estimates of primary productivity.
Published: 2011
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