This is a list of papers in press using Argo data.

A complete list of all Argo publications is also maintained on this site.

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

Updated December 21, 2021.

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Agarwal, N., R. Sharma, and R. Kumar (2021), Impact of along-track altimeter sea surface height anomaly assimilation on surface and sub-surface currents in the Bay of Bengal, Ocean Model., 101931, doi: https://www.sciencedirect.com/science/article/pii/S1463500321001803.Barbieux, M., et al. (2021), Biological production in two contrasted regions of the Mediterranean Sea during the oligotrophic period: An estimate based on the diel cycle of optical properties measured by BGC-Argo profiling floats, Biogeosciences Discuss., 2021, 1-74, doi: https://bg.copernicus.org/preprints/bg-2021-123/.

Chen, Y., S. Speich, and R. Laremxenaire (2021), Formation and transport of the South Atlantic Subtropical Mode Water in eddy-permitting observations, Journal of Geophysical Research: Oceans, n/a(n/a), e2021JC017767, doi: https://doi.org/10.1029/2021JC017767.

Fedele, G., E. Mauri, G. Notarstefano, and P. M. Poulain (2021), Characterization of the Atlantic Water and Levantine Intermediate Water in the Mediterranean Sea using Argo Float Data, Ocean Sci. Discuss., 2021, 1-41, doi: https://os.copernicus.org/preprints/os-2021-68/.

Foppert, A., S. R. Rintoul, S. G. Purkey, N. Zilberman, T. Kobayashi, J.-B. Sallée, E. M. van Wijk, and L. O. Wallace (2021), Deep Argo reveals bottom water properties and pathways in the Australian-Antarctic Basin, Journal of Geophysical Research: Oceans, n/a(n/a), e2021JC017935, doi: https://doi.org/10.1029/2021JC017935.

Gao, Z., Z. Chen, X. Huang, Z. Xu, H. Yang, Z. Zhao, C. Ren, and L. Wu (2021), Internal Wave Imprints on Temperature Fluctuations as Revealed by Rapid-Sampling Deep Profiling Floats, Journal of Geophysical Research: Oceans, n/a(n/a), e2021JC017878, doi: https://doi.org/10.1029/2021JC017878.

Girishkumar, M. S. (2021), Surface chlorophyll blooms in the Southern Bay of Bengal during the extreme positive Indian Ocean dipole, Climate Dynamics, doi: https://doi.org/10.1007/s00382-021-06050-x.

Guo, M., P. Xiu, and X. Xing (2021), Oceanic fronts structure phytoplankton distributions in the central South Indian Ocean, Journal of Geophysical Research: Oceans, n/a(n/a), e2021JC017594, doi: https://doi.org/10.1029/2021JC017594.

Horwath, M., et al. (2021), Global sea-level budget and ocean-mass budget, with focus on advanced data products and uncertainty characterisation, Earth Syst. Sci. Data Discuss., 2021, 1-51, doi: https://essd.copernicus.org/preprints/essd-2021-137/.

Huang, X., S. Huang, W. Zhao, Z. Zhang, C. Zhou, and J. Tian (2021), Temporal variability of internal solitary waves in the northern South China Sea revealed by long-term mooring observations, Prog. Oceanogr., 102716, doi: https://www.sciencedirect.com/science/article/pii/S0079661121001993.

Inoue, R., C. Sukigara, S. Bishop, E. Oka, and T. Nagai (2021), Geophysical and biogeochemical observations using BGC Argo floats in the western North Pacific during late winter and early spring. Part 1: Restratification processes of the surface mixed layer, Ocean Sci. Discuss., 2021, 1-37, doi: https://os.copernicus.org/preprints/os-2021-38/.

Johnson, G. C., S. Hosoda, S. R. Jayne, P. R. Oke, S. C. Riser, D. Roemmich, T. Suga, V. Thierry, S. E. Wijffels, and J. Xu (2021), Argo—Two Decades: Global Oceanography, Revolutionized, Annual Review of Marine Science, doi: https://doi.org/10.1146/annurev-marine-022521-102008.

Kawakami, Y., A. Kojima, K. Murakami, T. Nakano, and S. Sugimoto (2021), Temporal variations of net Kuroshio transport based on a repeated hydrographic section along 137°E, Climate Dynamics, doi: https://doi.org/10.1007/s00382-021-06061-8.

Ke-xin, L., and Z. Fei (2021), Effects of a freshening trend on upper-ocean stratification over the central tropical Pacific and their representation by CMIP6 models, Deep Sea Research Part II: Topical Studies in Oceanography, 104999, doi: https://doi.org/10.1016/j.dsr2.2021.104999.

Kido, S., M. Nonaka, and Y. Tanimoto (2021), Sea Surface Temperature–Salinity Covariability and its Scale-dependent Characteristics, Geophys. Res. Lett., n/a(n/a), e2021GL096010, doi: https://doi.org/10.1029/2021GL096010.

Kubryakov, A. A., and S. V. Stanichny (2021), Sinking velocity of small particles in the Black Sea: Vertical distribution and seasonal variability from continuous Bio-Argo measurements of backscattering, J. Mar. Syst., 103695, doi: https://www.sciencedirect.com/science/article/pii/S0924796321001895.

Li, X., Z.-Z. Hu, B. Huang, and C. Stan (2021), Bulk connectivity of global SST and land precipitation variations, Climate Dynamics, doi: https://doi.org/10.1007/s00382-021-05901-x.

Liu, Y., T. Xu, J. Wang, and D. Mu (2021), Multibeam seafloor topography distortion correction based on SVP inversion, J. Mar. Sci. Technol., doi: https://doi.org/10.1007/s00773-021-00845-7.

Matsumoto, K., T. Tanioka, and M. Gilchrist (2021), Sensitivity of steady state, deep ocean dissolved organic carbon to surface boundary conditions, Glob. Biogeochem. Cycle, n/a(n/a), e2021GB007102, doi: https://doi.org/10.1029/2021GB007102.

Meng, Z., L. Zhou, R. Murtugudde, Q. Yang, K. Pujiana, and J. Xi (2021), Tropical oceanic intraseasonal variabilities associated with central Indian Ocean mode, Climate Dynamics, doi: https://doi.org/10.1007/s00382-021-05951-1.

Mignot, A., et al. (2021), Defining BGC-Argo-based metrics of ocean health and biogeochemical functioning for the evaluation of global ocean models, Biogeosciences Discuss., 2021, 1-66, doi: https://bg.copernicus.org/preprints/bg-2021-2/.

Nyadjro, E. S., B. A. K. Foli, K. A. Agyekum, G. Wiafe, and S. Tsei (2021), Seasonal Variability of Sea Surface Salinity in the NW Gulf of Guinea from SMAP Satellite, Remote Sensing in Earth Systems Sciences, doi: https://doi.org/10.1007/s41976-021-00061-2.

Patel, S., M. Vithalpura, S. K. Mallick, and S. Ratheesh (2021), Impact of Initial and Boundary Conditions on Coupled Model Simulations for Bay of Bengal, Mar. Geod., 1-28, doi: https://doi.org/10.1080/01490419.2021.2006376.

Shulman, I., J. H. Cohen, M. A. Moline, S. Anderson, E. J. Metzger, and C. Rowley (2021), Modeling studies of the bioluminescence potential dynamics in a high Arctic fjord during polar night, Ocean Dyn., doi: https://doi.org/10.1007/s10236-021-01491-8.

Tan, Z., B. Zhang, X. Wu, M. Dong, and L. Cheng (2021), Quality control for ocean observations: From present to future, Sci. China Earth Sci., doi: https://doi.org/10.1007/s11430-021-9846-7.

Wang, B., K. Fennel, and L. Yu (2021), Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico, Ocean Sci. Discuss., 2021, 1-33, doi: https://os.copernicus.org/preprints/os-2021-35/.

Wang, X., C. Liu, A. Köhl, W. Geng, F. Wang, and D. Stammer (2021), The adjoint-based Two Oceans One Sea State Estimate (TOOSSE), Journal of Oceanology and Limnology, doi: https://doi.org/10.1007/s00343-021-0439-9.

Xia, R., Y. He, and T. Yang (2021), Simulation and future projection of the mixed layer depth and subduction process in the subtropical Southeast Pacific, Acta Oceanol. Sin., doi: https://doi.org/10.1007/s13131-021-1877-0.

Zavala-Garay, J., and J. Theiss (2021), Seasonal instability of the Western Equatorial Indian Ocean, Journal of Geophysical Research: Oceans, n/a(n/a), e2021JC017875, doi: https://doi.org/10.1029/2021JC017875.

Zhai, Y., J. Yang, X. Wan, and S. Zou (2021), The Eastern Atlantic Basin Pathway for the Export of the North Atlantic Deep Waters, Geophys. Res. Lett., n/a(n/a), e2021GL095615, doi: https://doi.org/10.1029/2021GL095615.

Zhao, X., and D. Yuan (2021), Evaluation of intraseasonal wind rectification on recent Indian Ocean dipole events using LICOM, Climate Dynamics, doi: https://doi.org/10.1007/s00382-021-05943-1.

Zhu, Y., Y. Li, Z. Zhang, B. Qiu, and F. Wang (2021), The observed Agulhas Retroflection behaviors during 1993-2018, Journal of Geophysical Research: Oceans, n/a(n/a), e2021JC017995, doi: https://doi.org/10.1029/2021JC017995.

Zhu, Y., R.-H. Zhang, and D. Li (2021), An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations, Climate Dynamics, doi: https://doi.org/10.1007/s00382-021-05946-y.