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What is the Deep Argo Bibliography?

This is a bibliography of papers published using Deep Argo float data. A complete list of all Argo publications is also maintained on this site.

To learn how to properly cite Argo data, click here.

Please send argo@ucsd.edu citations for Argo articles to keep this part of the bibliography updated.

Updated August 14, 2019   Click here to download this file in pdf form.


2019  2018  2017  2016  2015  2013 

2019 (11)

Chang, L., H. Tang, Q. Wang, and W. Sun, 2019: Global thermosteric sea level change contributed by the deep ocean below 2000 m estimated by Argo and CTD data. Earth and Planetary Science Letters, 524, 115727, https://doi.org/10.1016/j.epsl.2019.115727

Fox-Kemper, B., A. Adcroft, C. W. Böning, E. P. Chassignet, E. Curchitser, G. Danabasoglu, C. Eden, M. H. England, R. Gerdes, R. J. Greatbatch, S. M. Griffies, R. W. Hallberg, E. Hanert, P. Heimbach, H. T. Hewitt, C. N. Hill, Y. Komuro, S. Legg, J. Le Sommer, S. Masina, S. J. Marsland, S. G. Penny, F. Qiao, T. D. Ringler, A. M. Treguier, H. Tsujino, P. Uotila, and S. G. Yeager, 2019: Challenges and Prospects in Ocean Circulation Models. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00065

Fujii, Y., E. Rémy, H. Zuo, P. Oke, G. Halliwell, F. Gasparin, M. Benkiran, N. Loose, J. Cummings, J. Xie, Y. Xue, S. Masuda, G. C. Smith, M. Balmaseda, C. Germineaud, D. J. Lea, G. Larnicol, L. Bertino, A. Bonaduce, P. Brasseur, C. Donlon, P. Heimbach, Y. Kim, V. Kourafalou, P.-Y. Le Traon, M. Martin, S. Paturi, B. Tranchant, and N. Usui, 2019: Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00417

Hermes, J. C., Y. Masumoto, L. M. Beal, M. K. Roxy, J. Vialard, M. Andres, H. Annamalai, S. Behera, N. D’Adamo, T. Doi, M. Feng, W. Han, N. Hardman-Mountford, H. Hendon, R. Hood, S. Kido, C. Lee, T. Lee, M. Lengaigne, J. Li, R. Lumpkin, K. N. Navaneeth, B. Milligan, M. J. McPhaden, M. Ravichandran, T. Shinoda, A. Singh, B. Sloyan, P. G. Strutton, A. C. Subramanian, S. Thurston, T. Tozuka, C. C. Ummenhofer, A. S. Unnikrishnan, R. Venkatesan, D. Wang, J. Wiggert, L. Yu, and W. Yu, 2019: A Sustained Ocean Observing System in the Indian Ocean for Climate Related Scientific Knowledge and Societal Needs. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00355

Johnson, G. C., S. G. Purkey, N. V. Zilberman, and D. Roemmich, 2019: Deep Argo Quantifies Bottom Water Warming Rates in the Southwest Pacific Basin. Geophysical Research Letters, 46, 2662-2669, https://doi.org/10.1029/2018GL081685

Le Traon, P. Y., A. Reppucci, E. Alvarez Fanjul, L. Aouf, A. Behrens, M. Belmonte, A. Bentamy, L. Bertino, V. E. Brando, M. B. Kreiner, M. Benkiran, T. Carval, S. A. Ciliberti, H. Claustre, E. Clementi, G. Coppini, G. Cossarini, M. De Alfonso Alonso-Muñoyerro, A. Delamarche, G. Dibarboure, F. Dinessen, M. Drevillon, Y. Drillet, Y. Faugere, V. Fernández, A. Fleming, M. I. Garcia-Hermosa, M. G. Sotillo, G. Garric, F. Gasparin, C. Giordan, M. Gehlen, M. L. Gregoire, S. Guinehut, M. Hamon, C. Harris, F. Hernandez, J. B. Hinkler, J. Hoyer, J. Karvonen, S. Kay, R. King, T. Lavergne, B. Lemieux-Dudon, L. Lima, C. Mao, M. J. Martin, S. Masina, A. Melet, B. Buongiorno Nardelli, G. Nolan, A. Pascual, J. Pistoia, A. Palazov, J. F. Piolle, M. I. Pujol, A. C. Pequignet, E. Peneva, B. Pérez Gómez, L. Petit de la Villeon, N. Pinardi, A. Pisano, S. Pouliquen, R. Reid, E. Remy, R. Santoleri, J. Siddorn, J. She, J. Staneva, A. Stoffelen, M. Tonani, L. Vandenbulcke, K. von Schuckmann, G. Volpe, C. Wettre, and A. Zacharioudaki, 2019: From Observation to Information and Users: The Copernicus Marine Service Perspective. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00234

Levin, L. A., B. J. Bett, A. R. Gates, P. Heimbach, B. M. Howe, F. Janssen, A. McCurdy, H. A. Ruhl, P. Snelgrove, K. I. Stocks, D. Bailey, S. Baumann-Pickering, C. Beaverson, M. C. Benfield, D. J. Booth, M. Carreiro-Silva, A. Colaço, M. C. Eblé, A. M. Fowler, K. M. Gjerde, D. O. B. Jones, K. Katsumata, D. Kelley, N. Le Bris, A. P. Leonardi, F. Lejzerowicz, P. I. Macreadie, D. McLean, F. Meitz, T. Morato, A. Netburn, J. Pawlowski, C. R. Smith, S. Sun, H. Uchida, M. F. Vardaro, R. Venkatesan, and R. A. Weller, 2019: Global Observing Needs in the Deep Ocean. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00241

Penny, S. G., S. Akella, M. A. Balmaseda, P. Browne, J. A. Carton, M. Chevallier, F. Counillon, C. Domingues, S. Frolov, P. Heimbach, P. Hogan, I. Hoteit, D. Iovino, P. Laloyaux, M. J. Martin, S. Masina, A. M. Moore, P. de Rosnay, D. Schepers, B. M. Sloyan, A. Storto, A. Subramanian, S. Nam, F. Vitart, C. Yang, Y. Fujii, H. Zuo, T. O’Kane, P. Sandery, T. Moore, and C. C. Chapman, 2019: Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00391

Roemmich, D., M. H. Alford, H. Claustre, K. Johnson, B. King, J. Moum, P. Oke, W. B. Owens, S. Pouliquen, S. Purkey, M. Scanderbeg, T. Suga, S. Wijffels, N. Zilberman, D. Bakker, M. Baringer, M. Belbeoch, H. C. Bittig, E. Boss, P. Calil, F. Carse, T. Carval, F. Chai, D. Ó. Conchubhair, F. d’Ortenzio, G. Dall’Olmo, D. Desbruyeres, K. Fennel, I. Fer, R. Ferrari, G. Forget, H. Freeland, T. Fujiki, M. Gehlen, B. Greenan, R. Hallberg, T. Hibiya, S. Hosoda, S. Jayne, M. Jochum, G. C. Johnson, K. Kang, N. Kolodziejczyk, A. Körtzinger, P.-Y. L. Traon, Y.-D. Lenn, G. Maze, K. A. Mork, T. Morris, T. Nagai, J. Nash, A. N. Garabato, A. Olsen, R. R. Pattabhi, S. Prakash, S. Riser, C. Schmechtig, C. Schmid, E. Shroyer, A. Sterl, P. Sutton, L. Talley, T. Tanhua, V. Thierry, S. Thomalla, J. Toole, A. Troisi, T. W. Trull, J. Turton, P. J. Velez-Belchi, W. Walczowski, H. Wang, R. Wanninkhof, A. F. Waterhouse, S. Waterman, A. Watson, C. Wilson, A. P. S. Wong, J. Xu, and I. Yasuda, 2019: On the Future of Argo: A Global, Full-Depth, Multi-Disciplinary Array. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00439

Sloyan, B. M., R. Wanninkhof, M. Kramp, G. C. Johnson, L. D. Talley, T. Tanhua, E. McDonagh, C. Cusack, E. O’Rourke, E. McGovern, K. Katsumata, S. Diggs, J. Hummon, M. Ishii, K. Azetsu-Scott, E. Boss, I. Ansorge, F. F. Perez, H. Mercier, M. J. M. Williams, L. Anderson, J. H. Lee, A. Murata, S. Kouketsu, E. Jeansson, M. Hoppema, and E. Campos, 2019: The Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP): A Platform for Integrated Multidisciplinary Ocean Science. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00445

Tamsitt, V., L. D. Talley, and M. R. Mazloff, 2019: A Deep Eastern Boundary Current Carrying Indian Deep Water South of Australia. Journal of Geophysical Research: Oceans, 124, 2218-2238, https://doi.org/10.1029/2018JC014569

2018 (4)

Chang, Y.-S., S. Zhang, A. Rosati, G. A. Vecchi, and X. Yang, 2018: An OSSE Study for Deep Argo Array using the GFDL Ensemble Coupled Data Assimilation System. Ocean Science Journal, 53, 179-189, https://doi.org/10.1007/s12601-018-0007-1 DeepArgo

Kobayashi, T., 2018: Rapid volume reduction in Antarctic Bottom Water off the Adélie/George V Land coast observed by deep floats. Deep Sea Research Part I: Oceanographic Research Papers, 140, 95-117, https://doi.org/10.1016/j.dsr.2018.07.014 DeepArgo

Masuda, S., S. Osafune, and T. Hemmi, 2018: Deep-float salinity data synthesis for deep ocean state estimation: method and impact. Progress in Earth and Planetary Science, 5, 89, https://doi.org/10.1186/s40645-018-0247-9 DeepArgo

Wang, T., S. T. Gille, M. R. Mazloff, N. V. Zilberman, and Y. Du, 2018: Numerical Simulations to Project Argo Float Positions in the Middepth and Deep Southwest Pacific. Journal of Atmospheric and Oceanic Technology, 35, 1425-1440, https://doi.org/10.1175/JTECH-D-17-0214.1 DeepArgo

2017 (2)

Jayne, S. R., D. Roemmich, N. V. Zilberman, S. C. Riser, K. S. Johnson, G. C. Johnson, and S. R. Piotrowicz, 2017: The Argo Program: Present and Future. Oceanography, 30, 18-28, http://dx.doi.org/10.5670/oceanog.2017.213 DeepArgo

Zilberman, N. V., 2017: Deep Argo: Sampling the Total Ocean Volume in State of the Climate in 2016. Bull. Am. Meteorol. Soc., 98, S73-S74, https://doi.org/10.1175/2017BAMSStateoftheClimate.1 DeepArgo

2016 (1)

Le Reste, S., V. Dutreuil, X. André, V. Thierry, C. Renaut, P.-Y. L. Traon, and G. Maze, 2016: "Deep-Arvor": A New Profiling Float to Extend the Argo Observations Down to 4000-m Depth. Journal of Atmospheric and Oceanic Technology, 33, 1039-1055, http://dx.doi.org/10.1175/JTECH-D-15-0214.1 DeepArgo

2015 (1)

Johnson, G. C., J. M. Lyman, and S. G. Purkey, 2015: Informing Deep Argo Array Design Using Argo and Full-Depth Hydrographic Section Data. Journal of Atmospheric and Oceanic Technology, 32, 2187-2198, http://dx.doi.org/10.1175/JTECH-D-15-0139.1 DeepArgo

2013 (3)

Kobayashi, T., 2013: Deep NINJA collects profiles down to 4,000 meters. Sea Technology, 54, 41-44, https://www.sea-technology.com/features/2013/0213/deep_ninja.php DeepArgo

Kobayashi, T., 2013: A realization of a profiling float for deep ocean observation. Engineering Materials, 61, 67-70, DeepArgo

Kobayashi, T. and M. Tachikawa, 2013: An introduction of a domestic deep float, DEEP NINJA, and its deep/bottom layer observations in the Southern Ocean. JOS News Letter, 3, DeepArgo

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