The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
New CNES‐CLS09 global mean dynamic topography computed from the combination of GRACE data, altimetry, and in situ measurements
Abstract
An accurate knowledge of the ocean mean dynamic topography (MDT) is mandatory for the optimal use of altimetric data, including their assimilation into operational ocean forecasting systems. A new global 1/4° resolution MDT was computed for the 1993–1999 time period with improved data and methodology compared to the previous RIO05 MDT field. First, a large‐scale MDT is obtained from the CLS01 altimetric Mean Sea Surface and a recent geoid model computed from 4.5 years of GRACE (Gravity Recovery and Climate Experiment) data. Altimetric sea level anomalies and in situ measurements are then combined to compute synthetic estimates of the MDT and the corresponding mean currents. While the RIO05 MDT was based on 10 years of in situ dynamic heights and drifting buoy velocities, the new field benefits from an enlarged data set of in situ measurements ranging from 1993 to 2008 and includes all hydrological profiles from the Argo array. Moreover, the processing of the in situ data has been updated. A new Ekman model was developed to extract the geostrophic velocity component from the drifting buoy measurements. The handling of hydrologic measurements has also been revisited. Compared to the previous RIO05 solution, the new global MDT resolves much stronger gradients in western boundary currents, with mean velocities being doubled in some places. Moreover, in comparison to several other recent MDT estimates, we find that the new CNES‐CLS09 MDT is in better agreement with independent in situ observations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global high-resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2
Ducet, N., Le Traon, P. Y., & Reverdin, G. (2000) · Journal of Geophysical Research: Oceans · doi:10.1029/2000jc900063 · Cited by 1,725
A technique for objective analysis and design of oceanographic experiments applied to MODE-73
Bretherton, F. P., Davis, R. E., & Fandry, C. B. (1976) · Deep Sea Research and Oceanographic Abstracts · doi:10.1016/0011-7471(76)90001-2 · Cited by 1,189
Diagnostic Model and Analysis of the Surface Currents in the Tropical Pacific Ocean
Bonjean, F., & Lagerloef, G. S. E. (2002) · Journal of Physical Oceanography · doi:10.1175/1520-0485(2002)032<2938:dmaaot>2.0.co;2 · Cited by 874
Rio, M. ‐., & Hernandez, F. (2004) · Journal of Geophysical Research: Oceans · doi:10.1029/2003jc002226 · Cited by 485
Self-citationEarth gravitational model 2008
Pavlis, N., Kenyon, S., Factor, J., & Holmes, S. (2008) · SEG Technical Program Expanded Abstracts 2008 · doi:10.1190/1.3063757 · Cited by 381
Tropical Pacific near‐surface currents estimated from altimeter, wind, and drifter data
Lagerloef, G. S. E., Mitchum, G. T., Lukas, R. B., & Niiler, P. P. (1999) · Journal of Geophysical Research: Oceans · doi:10.1029/1999jc900197 · Cited by 367
Quality Control and Interpolations of WOCE-TOGA Drifter Data
Hansen, D. V., & Poulain, P.-M. (1996) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/1520-0426(1996)013<0900:qcaiow>2.0.co;2 · Cited by 349
DNSC08 mean sea surface and mean dynamic topography models
Andersen, O. B., & Knudsen, P. (2009) · Journal of Geophysical Research: Oceans · doi:10.1029/2008jc005179 · Cited by 323
Global mesoscale variability from collinear tracks of SEASAT altimeter data
Cheney, R. E., Marsh, J. G., & Beckley, B. D. (1983) · Journal of Geophysical Research: Oceans · doi:10.1029/jc088ic07p04343 · Cited by 290
Eddy-mean flow interaction in the decadally modulating Kuroshio Extension system
Qiu, B., & Chen, S. (2010) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/j.dsr2.2008.11.036 · Cited by 277
Cited by
Evaluation of the ECMWF ocean reanalysis system ORAS4
Balmaseda, M. A., Mogensen, K., & Weaver, A. T. (2013) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2063 · Cited by 1,020
Lellouche, J.-M., Greiner, E., Le Galloudec, O., Garric, G., Regnier, C., Drevillon, M., Benkiran, M., Testut, C.-E., Bourdalle-Badie, R., Gasparin, F., et al. (2018) · Ocean Science · doi:10.5194/os-14-1093-2018 · Cited by 572
High resolution 3-D temperature and salinity fields derived from in situ and satellite observations
Guinehut, S., Dhomps, A.-L., Larnicol, G., & Le Traon, P.-Y. (2012) · Ocean Science · doi:10.5194/os-8-845-2012 · Cited by 416
Self-citationRegional variations in the influence of mesoscale eddies on near‐surface chlorophyll
Gaube, P., McGillicuddy, D. J., Chelton, D. B., Behrenfeld, M. J., & Strutton, P. G. (2014) · Journal of Geophysical Research: Oceans · doi:10.1002/2014jc010111 · Cited by 381
Evaluation of global monitoring and forecasting systems at Mercator Océan
Lellouche, J.-M., Le Galloudec, O., Drévillon, M., Régnier, C., Greiner, E., Garric, G., Ferry, N., Desportes, C., Testut, C.-E., Bricaud, C., et al. (2013) · Ocean Science · doi:10.5194/os-9-57-2013 · Cited by 317
Metadata
- Authors
- Rio, M. H., Guinehut, S., & Larnicol, G.
- Venue
- Journal of Geophysical Research: Oceans
- Publisher
- American Geophysical Union (AGU)
- Published
- 2011-07
- Volume
- 116
- Issue
- C7
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W1970016445
- Cited by
- 433
- References
- 30
- FWCI
- 31.58
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: New CNES‐CLS09 global mean dynamic topography computed from the combination of GRACE data, altimetry, and in situ measurements. https://app.cochat.ai/papers/10.1029/2010jc006505
- The paper
- Rio, M. H., Guinehut, S., & Larnicol, G. (2011). New CNES‐CLS09 global mean dynamic topography computed from the combination of GRACE data, altimetry, and in situ measurements. Journal of Geophysical Research: Oceans. https://doi.org/10.1029/2010jc006505
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.