Articles | Volume 17, issue 3
https://doi.org/10.5194/os-17-789-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-17-789-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jun 2021
Research article |
| 17 Jun 2021
| 17 Jun 2021
The new CNES-CLS18 global mean dynamic topography
Sandrine Mulet
CORRESPONDING AUTHOR
CLS, Altimetry and In-Situ Oceanography, Ramonville Saint Agne, 31520, France
Marie-Hélène Rio
CLS, Altimetry and In-Situ Oceanography, Ramonville Saint Agne, 31520, France
ESA/ESRIN, Frascati, 00044, Italy
Hélène Etienne
CLS, Altimetry and In-Situ Oceanography, Ramonville Saint Agne, 31520, France
Camilia Artana
Laboratoire LOCEAN-IPSL, Sorbonne Université (UPMC, University
Paris 6), CNRS, IRD, MNHN, Paris, 75000, France
Mercator Océan, Ramonville Saint Agne, 31520, France
Mathilde Cancet
Noveltis, Labège, 31670, France
Gérald Dibarboure
CNES, Ramonville Saint Agne, 31520, France
Ocean Process Analysis Lab, University of New Hampshire, Durham, NH 03824, USA
Romain Husson
CLS Brest, Plouzané, 29280, France
Nicolas Picot
CNES, Ramonville Saint Agne, 31520, France
Christine Provost
Laboratoire LOCEAN-IPSL, Sorbonne Université (UPMC, University
Paris 6), CNRS, IRD, MNHN, Paris, 75000, France
P. Ted Strub
College of Earth, Ocean and Atmospheric Sciences, Oregon State
University, Corvallis, OR 97331-5503, USA
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Cited articles
Ardhuin, F., Marié, L., Rascle, N., Forget, P., and Roland, A.: Observation and Estimation of Lagrangian, Stokes, and Eulerian Currents Induced by Wind and Waves at the Sea Surface, J. Phys. Oceanogr., 39, 2820–2838, 2009.
Artana, C., Ferrari, R., Bricaud, C., Lellouche, J.-M., Garric, G., Sennéchael, N., Lee, J.-H., Park, Y.-H., and Provost, C.: Twenty-five years of Mercator ocean reanalysis GLORYS12 at Drake Passage: Velocity assessment and total volume transport, Adv. Space Res., ISSN 0273-1177,
https://doi.org/10.1016/j.asr.2019.11.033, 2019.
AVISO + MDT: Combined mean dynamic topography – MDT CNES-CLS18, available at:
https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html, last access: 1 June 2021.
Bingham, R., Haines, K., and Hughes, C.: Calculating the Ocean's Mean Dynamic
Topography from a Mean Sea Surface and a Geoid, J. Atmos. Ocean. Tech., 25, 1808–1822, https://doi.org/10.1175/2008JTECHO568.1, 2008.
Bruinsma, S. L., Förste, C., Abrikosov, O., Lemoine, J.-M., Marty, J.-C.,
Mulet, S., Rio, M.-H., and Bonvalot, S.: ESA's satellite-only gravity field
model via the direct approach based on all GOCE data, Geophys. Res. Lett., 41, 7508–7514, https://doi.org/10.1002/2014GL062045, 2014.
Caballero, A., Mulet, S., Ayoub, N., Manso-Narvarte, I., Davila, X., Boone, C., Toublanc, F., and Rubio, A.: Integration of HF Radar Observations for an Enhanced Coastal Mean Dynamic Topography, Front. Mar. Sci., 7, 588713, https://doi.org/10.3389/fmars.2020.588713, 2020.
Cabanes, C., Grouazel, A., von Schuckmann, K., Hamon, M., Turpin V., Coatanoan, C., Paris, F., Guinehut, S., Boone, C., Ferry, N., De Boyer Montégut, C., Carval, T., Reverdin, G., Pouliquen, S., and Le Traon, P. Y.: The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements, Ocean Sci., 9, 1–18,
https://doi.org/10.5194/os-9-1-2013, 2013.
Cancet, M., Griffin, D., Cahill, M., Chapron, B., Johannessen, J., and Donlon, C.: Evaluation of GlobCurrent surface ocean current products: A case study in Australia, Remote Sens. Environ., 220, 71–93, https://doi.org/10.1016/j.rse.2018.10.029, 2019.
Chapron, B. and the GlobCurrent Team: GlobCurrent Analyses and Interpretation Framework, Technical Report, Deliverable for the ESA Study Contract Number 4000109513/13/I-LG, available at: https://globcurrent.nersc.no/system/files/pubdeliver/GlobCurrent_D-140_TN-1_v2.pdf (last access: 7 June 2021), November 2017.
Chapron, B., Collard, F., and Ardhuin, F.: Direct measurements of ocean surface velocity from space: Interpretation and validation, J. Geophys. Res.-Oceans, 110, C07008, https://doi.org/10.1029/2004JC002809, 2005.
De Boyer Montégut, C., Madec, G., Fischer, A. S., Lazar, A., and Iudicone, D.: Mixed layer depth over the global ocean: An examination of profile data and a profile-based climatology, J. Geophys. Res., 109, C12003,
https://doi.org/10.1029/2004JC002378, 2004.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N. and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Ekman, V. W.: On the influence of the earth's rotation on ocean currents, Ark. Mat. Astr. Fys., 11, 2, 1905.
Fecher, T., Pail, R., Gruber, T., and GOCO consortium: GOCO05c: A New Combined Gravity Field Model Based on Full Normal Equations and Regionally Varying Weighting, Surv. Geophys., 38, 571–590, https://doi.org/10.1007/s10712-016-9406-y, 2017.
Feng, H., Vandemark, D. C., Levin, J., and Wilkin, J.: Examining the Accuracy of GlobCurrent Upper Ocean Velocity Data Products on the Northwestern Atlantic Shelf, Remote Sens., 10, 1205, https://doi.org/10.3390/rs10081205, 2018.
Ferrari, R., Provost, C., Renault, A., Sennéchael, N., Barré, N., Park, Y.-H., and Lee, J.-H.: Circulation in Drake Passage revisited using new current time series and satellite altimetry: 1. The Yaghan Basin, J. Geophys. Res., 117, C12024, https://doi.org/10.1029/2012JC008264, 2012.
Ferrari, R., Provost, C., Renault, A., Barré, N., Sennéchael, N., Park, Y. H., and Lee, J.-H.: Circulation in Drake Passage revisited using new current time-series and satellite altimetry. Part II: The Ona Basin, J. Geophys. Res.-Oceans, 118, 147–165, https://doi.org/10.1029/2012JC008193, 2013.
Förste, C., Bruinsma, S. L., Abrikosov, O., Lemoine, J.-M., Marty, J. C.,
Flechtner, F., Balmino, G., Barthelmes, F., and Biancale, R.; EIGEN-6C4: The
latest combined global gravity field model including GOCE data up to degree
and order 2190 of GFZ Potsdam and GRGS Toulouse, GFZ Data Services, https://doi.org/10.5880/ICGEM.2015.1, 2014.
Gilardoni, M., Reguzzoni, M., and Sampietro, D.: GECO: a global gravity model by locally combining GOCE data and EGM2008; Stud. Geophys. Geodaet., 60, 228–247, https://doi.org/10.1007/s11200-015-1114-4, 2016.
Guinehut, S., Dhomps, A.-L., Larnicol, G., and Le Traon, P.-Y.: High resolution 3-D temperature and salinity fields derived from in situ and satellite observations, Ocean Sci., 8, 845–857, https://doi.org/10.5194/os-8-845-2012, 2012.
Hamon, M., Greiner, E., Le Traon, P.-Y., and Remy, E.: Impact of Multiple
Altimeter Data and Mean Dynamic Topography in a Global Analysis and
Forecasting System, J. Atmos. Ocean. Tech., 36, 1255–1266, https://doi.org/10.1175/JTECH-D-18-0236.1, 2019.
Knudsen, P., Andersen, O., and Maximenko, N.: A new ocean mean dynamic topography model, derived from a combination of gravity, altimetry and drifter velocity data, Adv. Space Res., ISSN 0273-1177,
https://doi.org/10.1016/j.asr.2019.12.001, 2019a.
Knudsen, P., Andersen, O., Maximenko, N., and Hafner, J.: A new combined mean
dynamic topography model – DTUUH19MDT, in: OSTST 2019, Chicago, 2019b.
Koenig, Z., Provost, C., Ferrari, R., Sennéchael, N., and Rio, M.-H.: Volume transport of the Antarctic Circumpolar Current: Production and validation of a 20 year long time series obtained from in situ and satellite observations, J. Geophys. Res.-Oceans, 119, 5407–5433, https://doi.org/10.1002/2014JC009966, 2014.
Lebedev, K. V., Yoshinari, H., Maximenko, N. A., and Hacker, P. W.: YoMaHa'07: Velocity data assessed from trajectories of Argo floats at parking level and at the sea surface, IPRC Tech. Note 4, available at: http://apdrc.soest.hawaii.edu/projects/yomaha/yomaha07/YoMaHa070612.pdf (last access: 1 June 2021), 12 June 2007.
Lee, J.-Y., Kang, D.-J., Kim, I.-N., Rho, T., Lee, T., Kang, C.-K., and Kim,
K.-R.: Spatial and temporal variability in the pelagic ecosystem of the East
Sea (Sea of Japan): A review, J. Mar. Syst., 78, 288–300, https://doi.org/10.1016/j.jmarsys.2009.02.013, 2009.
Levin, J., Wilkin, J., Fleming, N., and Zavala-Garay, J.: Mean circulation of the Mid-Atlantic Bight from a climatological data assimilative model, Ocean
Model., 128, 1–14, 2018.
Lumpkin, R., Grodsky, S. A., Centurioni, L., Rio, M. H., Carton, J. A., and
Lee, D.: Removing Spurious Low-Frequency Variability in Drifter Velocities, J. Atmos. Ocean. Tech., 30, 353–360, https://doi.org/10.1175/JTECH-D-12-00139.1, 2013.
Mayer-Gürr, T., Pail, R., Gruber, T., Fecher, T., Rexer, M., Schuh, W.-D., Kusche, J., Brockmann, J.-M., Rieser, D., Zehentner, N., Kvas, A.,
Klinger, B., Baur, O., Höck, E., Krauss, S., and Jäggi, A.: The combined satellite gravity field model GOCO05s, presented at OSTST, Vienna, Austria, 2015.
Niiler, P. P., Sybrandy, A. S., Bi, K., Poulain, P.-M., and Bitterman, D.:
Measurements of the water-following capability of holey-sock and TRISTAR
drifters, Deep-Sea Res. Pt. I, 42, 1951–1964, 1995.
Pegliasco, C., Chaigneau, A., Morrow, R., and Dumas, F.: Detection and tracking of mesoscale eddies in the Mediterranean Sea: A comparison between the Sea Level Anomaly and the Absolute Dynamic Topography fields, Adv. Space
Res., https://doi.org/10.1016/j.asr.2020.03.039, in press, 2020.
Pollard, R. T., Rhines, P. B., and Thompson, R. O. R. Y.: The deepening of the wind-Mixed layer, Geophys. Fluid Dynam., 4, 381–404, https://doi.org/10.1080/03091927208236105, 1973.
Pujol, M.-I., Schaeffer, P., Faugère, Y., Raynal, M., Dibarboure, G., and Picot, N.: Gauging the improvement of recent mean sea surface models: A new approach for identifying and quantifying their errors, J. Geophys. Res.-Oceans, 123, 5889–5911, https://doi.org/10.1029/2017JC013503, 2018.
Ralph, E. A. and Niiler P. P.: Wind-driven currents in the tropical Pacific, J. Phys. Oceanogr., 29, 2121–2129, 1999.
Renault, A., Provost, C., Sennéchael, N., Barré, N., and Kartavtseff, A.: Two full-depth velocity sections in the Drake Passage in 2006 – Transport estimates, Deep-Sea Res. Pt. II, 58, 2572–2591, https://doi.org/10.1016/j.dsr2.2011.01.004, 2011.
Rio, M.-H.: Absolute Dynamic Topography from Altimetry: Status and Prospects
in the upcoming GOCE Era, in: Oceanography from Space, edited by: Barale, V., Gower, J., and Alberotanza, L., Springer, Dordrecht, https://doi.org/10.1007/978-90-481-8681-5_10, 2010.
Rio, M.-H. and Hernandez, F.: A Mean Dynamic Topography computed over the
world ocean from altimetry, in-situ measurements and a geoid model, J. Geophys. Res., 109, C12032, https://doi.org/10.1029/2003JC002226, 2004.
Rio, M. H., Guinehut, S., and Larnicol, G.: New CNES-CLS09 global mean dynamic topography computed from the combination of GRACE data, altimetry, and in situ measurements, J. Geophys. Res., 116, C07018, https://doi.org/10.1029/2010JC006505, 2011.
Rio, M.-H., Mulet, S., and Picot, N.: Beyond GOCE for the ocean circulation
estimate: synergetic use of altimetry, gravimetry, and in situ data provides
new insight into geostrophic and Ekman currents, Geophys. Res. Lett., 41,
8918–8925, https://doi.org/10.1002/2014GL061773, 2014a.
Rio, M.-H., Pascual, A., Poulain, P.-M., Menna, M., Barceló, B., and
Tintoré, J.: Computation of a new mean dynamic topography for the Mediterranean Sea from model outputs, altimeter measurements and oceanographic in situ data, Ocean Sci., 10, 731–744, https://doi.org/10.5194/os-10-731-2014, 2014b.
Siegismund, F.: A spectrally consistent globally defined geodetic mean dynamic ocean topography, J. Geophys. Res.-Oceans, 125, e2019JC016031, https://doi.org/10.1029/2019JC016031, 2020.
Strub, P. T., James, C., Montecino, V., Rutllant, J. A., and Blanco, J. L.: Ocean circulation along the southern Chile transition region (38∘–46∘ S): Mean, seasonal and interannual variability, with a focus on 2014–2016, Prog. Oceanogr., 172, 159–198, https://doi.org/10.1016/j.pocean.2019.01.004, 2019.
Szekely, T., Gourrion, J., Pouliquen, S., and Reverdin, G.: The CORA 5.2
dataset for global in situ temperature and salinity measurements: data description and validation, Ocean Sci., 15, 1601–1614,
https://doi.org/10.5194/os-15-1601-2019, 2019.
Taburet, G., Sanchez-Roman, A., Ballarotta, M., Pujol, M.-I., Legeais, J.-F., Fournier, F., Faugere, Y., and Dibarboure, G.: DUACS DT2018: 25 years of reprocessed sea level altimetry products, Ocean Sci., 15, 1207–1224, https://doi.org/10.5194/os-15-1207-2019, 2019.
Short summary
Satellite altimetry has revolutionized ocean observation by allowing the sea level to be monitored with very good spatiotemporal coverage. However, only the sea level anomalies are retrieved; to monitor the whole oceanic signal a temporal mean (called mean dynamic topography, MDT) must be added to these anomalies. In this study we present the newly updated CNES-CLS18 MDT. An evaluation of this new solution shows significant improvements in both strong currents and coastal areas.
Satellite altimetry has revolutionized ocean observation by allowing the sea level to be...
