The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats
Open accessAbstract
In the past two decades, the Argo Program has collected, processed and distributed over two million vertical profiles of temperature and salinity from the upper two kilometers of the global ocean. A similar number of subsurface velocity observations near 1000 dbar have also been collected. This paper recounts the history of the global Argo Program, from its aspiration arising out of the World Ocean Circulation Experiment, to the development and implementation of its instrumentation and telecommunication systems, and the various technical problems encountered. We describe the Argo data system and its quality control procedures, and the gradual changes in the vertical resolution and spatial coverage of Argo data from 1999 to 2019. The accuracies of the float data have been assessed by comparison with high-quality shipboard measurements, and are concluded to be 0.002°C for temperature, 2.4 dbar for pressure, and 0.01 PSS-78 for salinity, after delayed-mode adjustments. Finally, the challenges faced by the vision of an expanding Argo Program beyond 2020 are discussed.
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Cites
Algorithms for the computation of fundamental properties of seawater.
Fofonoff, N. P., & Millard, R. C. (2021) · Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community) · doi:10.25607/obp-1450 · Cited by 1,511
Fifteen years of ocean observations with the global Argo array
Riser, S. C., Freeland, H. J., Roemmich, D., Wijffels, S., Troisi, A., Belbéoch, M., Gilbert, D., Xu, J., Pouliquen, S., Thresher, A., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate2872 · Cited by 549
Self-citationOn the Future of Argo: A Global, Full-Depth, Multi-Disciplinary Array
Roemmich, D., Alford, M. H., Claustre, H., Johnson, K., King, B., Moum, J., Oke, P., Owens, W. B., Pouliquen, S., Purkey, S., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00439 · Cited by 505
Self-citationHow much is the ocean really warming?
Gouretski, V., & Koltermann, K. P. (2007) · Geophysical Research Letters · doi:10.1029/2006gl027834 · Cited by 279
Bittig, H. C., Steinhoff, T., Claustre, H., Fiedler, B., Williams, N. L., Sauzède, R., Körtzinger, A., & Gattuso, J.-P. (2018) · Frontiers in Marine Science · doi:10.3389/fmars.2018.00328 · Cited by 235
Self-citationA BGC-Argo Guide: Planning, Deployment, Data Handling and Usage
Bittig, H. C., Maurer, T. L., Plant, J. N., Schmechtig, C., Wong, A. P. S., Claustre, H., Trull, T. W., Udaya Bhaskar, T. V. S., Boss, E., Dall’Olmo, G., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00502 · Cited by 212
Self-citationA neutral-buoyancy float for measuring deep currents
Swallow, J. C. (1955) · Deep Sea Research (1953) · doi:10.1016/0146-6313(55)90037-x · Cited by 208
Owens, W. B., & Wong, A. P. S. (2008) · Deep Sea Research Part I Oceanographic Research Papers · doi:10.1016/j.dsr.2008.09.008 · Cited by 141
Self-citationQuality Control of Large Argo Datasets
Gaillard, F., Autret, E., Thierry, V., Galaup, P., Coatanoan, C., & Loubrieu, T. (2008) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/2008jtecho552.1 · Cited by 121
Self-citationANDRO: An Argo-Based Deep Displacement Dataset
Ollitrault, M., & Rannou, J.-P. (2012) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/jtech-d-12-00073.1 · Cited by 118
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Fish-inspired tracking of underwater turbulent plumes
Gunnarson, P., & Dabiri, J. O. (2024) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/ad7181 · Cited by 11
Metadata
- Authors
- Wong, A. P. S., Wijffels, S. E., Riser, S. C., Pouliquen, S., Hosoda, S., Roemmich, D., Gilson, J., Johnson, G. C., Martini, K., Murphy, D. J., Scanderbeg, M., Bhaskar, T. V. S. U., Buck, J. J. H., Merceur, F., Carval, T., Maze, G., Cabanes, C., André, X., Poffa, N., Yashayaev, I., Barker, P. M., Guinehut, S., Belbéoch, M., Ignaszewski, M., Baringer, M. O., Schmid, C., Lyman, J. M., McTaggart, K. E., Purkey, S. G., Zilberman, N., Alkire, M. B., Swift, D., Owens, W. B., Jayne, S. R., Hersh, C., Robbins, P., West-Mack, D., Bahr, F., Yoshida, S., Sutton, P. J. H., Cancouët, R., Coatanoan, C., Dobbler, D., Juan, A. G., Gourrion, J., Kolodziejczyk, N., Bernard, V., Bourlès, B., Claustre, H., D'Ortenzio, F., Le Reste, S., Le Traon, P.-Y., Rannou, J.-P., Saout-Grit, C., Speich, S., Thierry, V., Verbrugge, N., Angel-Benavides, I. M., Klein, B., Notarstefano, G., Poulain, P.-M., Vélez-Belchí, P., Suga, T., Ando, K., Iwasaska, N., Kobayashi, T., Masuda, S., Oka, E., Sato, K., Nakamura, T., Sato, K., Takatsuki, Y., Yoshida, T., Cowley, R., Lovell, J. L., Oke, P. R., van Wijk, E. M., Carse, F., Donnelly, M., Gould, W. J., Gowers, K., King, B. A., Loch, S. G., Mowat, M., Turton, J., Rama Rao, E. P., Ravichandran, M., Freeland, H. J., Gaboury, I., Gilbert, D., Greenan, B. J. W., Ouellet, M., Ross, T., Tran, A., Dong, M., Liu, Z., Xu, J., Kang, K., Jo, H., Kim, S.-D., & Park, H.-M.
- Venue
- Frontiers in Marine Science
- Publisher
- Frontiers Media SA
- Published
- 2020-09-15
- Volume
- 7
- ISSN
- 2296-7745 (ISSN-L)
- OpenAlex
- W3087160123
- Cited by
- 466
- References
- 18
- FWCI
- 19.32
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats. https://app.cochat.ai/papers/10.3389/fmars.2020.00700
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- Wong, A. P. S., Wijffels, S. E., Riser, S. C., Pouliquen, S., Hosoda, S., Roemmich, D., Gilson, J., Johnson, G. C., Martini, K., Murphy, D. J., Scanderbeg, M., Bhaskar, T. V. S. U., Buck, J. J. H., Merceur, F., Carval, T., Maze, G., Cabanes, C., André, X., Poffa, N., . . . Park, H.-M. (2020). Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2020.00700
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