Cited by 29Oceanographic and Atmospheric ProcessesMeteorological Phenomena and SimulationsUnderwater Vehicles and Communication Systems

How essential are Argo observations to constrain a global ocean data assimilation system?

Open access
Turpin, V., Remy, E., Le Traon, P. Y.·2016·Ocean Science

Published version of a preprint

Abstract

Abstract. Observing System Experiments (OSEs) are carried out over a one-year period to quantify the impact of Argo observations on the Mercator-Ocean 1/4° global ocean analysis and forecasting system. The reference simulation assimilates sea surface temperature (SST), SSALTO/DUACS altimeter data and Argo and other in situ observations from the Coriolis data center. Two other simulations are carried out where all Argo and half of Argo data sets are withheld. Assimilating Argo observations has a significant impact on analyzed and forecast temperature and salinity fields at different depths. Without Argo data assimilation, large errors occur in analyzed fields as estimated from the differences when compared with in situ observations. For example, in the 0–300 m layer RMS differences between analyzed fields and observations reach 0.25 psu and 1.25 °C in the western boundary currents and 0.1 psu and 0.75 °C in the open ocean. The impact of the Argo data in reducing observation-model forecast error is also significant from the surface down to a depth of 2000 m. Differences between independent observations and forecast fields are thus reduced by 20 % in the upper layers and by up to 40 % at a depth of 2000 m when Argo data are assimilated. At depth, the most impacted regions in the global ocean are the Mediterranean outflow and the Labrador Sea. A significant degradation can be observed when only half of the data are assimilated. All Argo observations thus matter, even with a 1/4° model resolution. The main conclusion is that the performance of global data assimilation systems is heavily dependent on the availability of Argo data.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5194/os-12-257-2016

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Water mass observations over the full water column have been shown to improve reanalysis fields locally by several units in temperature and salinity.

    “From an uncoupled ocean perspective, there is also a strong impact from water mass observations over the full water column, which have been shown to improve reanalysis fields locally by several units in temperature and salinity (Oke et al., 2015;Turpin et al., 2016;Gasparin et al., 2018).”

    From The tropical atlantic observing system (2019) · cites this paper as Turpin et al., 2016

    The Conclusion reports that assimilating Argo observations improves temperature and salinity analyses and reduces observation–forecast differences; §3.1 finds locally substantial effects. But the study covers profiles from the surface to 2000 m, not the full water column, and its reported differences are around 1 °C and tenths of a psu, not several units of both temperature and salinity. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 21

  1. Balmaseda, M., Anderson, D., and Vidard, A.: Impact of Argo on analyses of the global ocean, Geophys. Res. Lett., 34, L16605, doi:10.1029/2007GL030452, 2007. · DOI
  2. Bloom, S. C., Takacs, L. L., da Silva, A. M., and Ledvina, D.: Data assimilation using Incremental Analysis Updates, Monthly Weather Review, 124, 1256-1271, 1996.
  3. 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 mea- surements, Ocean Sci., 9, 1-18, doi:10.5194/os-9-1-2013, 2013. · DOI
  4. Cazenave, A. and Llovel, W.: Contemporary sea level rise, Annual Review of Marine Science, 2, 145-173, 2010.
  5. Dibarboure, G., Pujol, M.-I., Briol, F., Le Traon, P.-Y., Larni- col, G., Picot, N., Mertz, F., and Ablain, M.: Jason-2 in DU- ACS: first tandem results and impact on processing and prod- ucts, Marine Geodesy, Jason-2 Special Issue, 34, 214-241, doi:10.1080/01490419.2011.584826, 2011. · DOI
  6. Domingues, C. M., Church, J. A., White, N. J., Glecker, P. J., Wijf- fels, S. E., Barker, P. M., and Dunn, J. R.: Improved estimates of upper-ocean warming and multi-decadal sea-level rise, Nature, 453, 1090-1094, doi:10.1038/nature07080, 2008. · DOI
  7. Fujii, Y., Cummings, J., Xue, Y., Schiller, A., Lee, T., Balmaseda, A. M., Remy, E., Masuda, S., Alves, O., Brassington, G., Cornuelle, B., Martin, M. J., Oke, P. R., Smith, G., and Yang, X.: Evalua- tion of the Tropical Pacific Observing System from the Ocean Data Assimilation Perspective, TPOS2020 Workshop, 27 Jan- uary 2014, Scripps Inst. Of Oceanogr., USA, 2014.
  8. 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, doi:10.5194/os-8-845-2012, 2012. · DOI
  9. Hansen, J., Nazarenko, L., Ruedy, R., Sato, M., Willis, J., Del Ge- nio, A., Koch, D., Lacis, A., Lo, K., Menon, S., Novakov, T., Perl- witz, J., Russell, G., Schmidt, G. A., and Taunsnev, N.: Earth's energy imbalance: Confirmation and implications, Science, 308, 1431-1435, doi:10.1126/science.1110252, 2005. · DOI
  10. Lea, D. J., Martin, M. J., and Oke, P. R.: Demonstrating the complementarity of observations in an operational ocean fore- casting system, Q. J. Roy, Meteor. Soc., 140, 2037-2049, doi:10.1002/qj.2281, 2013. · DOI
  11. Lellouche, J.-M., Le Galloudec, O., Drévillon, M., Régnier, C., Greiner, E., Garric, G., Ferry, N., Desportes, C., Testut, C.-E., Bricaud, C., Bourdallé-Badie, R., Tranchant, B., Benkiran, M., Drillet, Y., Daudin, A., and De Nicola, C.: Evaluation of global monitoring and forecasting systems at Mercator Océan, Ocean Sci., 9, 57-81, doi:10.5194/os-9-57-2013, 2013. · DOI
  12. Levitus, S., Antonov, J., and Boyer, T.: Warming the world ocean, 1955-2003, Geophys. Res. Lett., 32, L02604, doi:10.1029/2004GL021592, 2005. · DOI
  13. Lindstrom, E., Gunn, J., Fischer, A., McCurdy, A., and Glover, L. K.: A Framework for Ocean Observing. By the Task Team for an Integrated Framework for Sustained Ocean Observ- ing, UNESCO 2012, IOC.INF-1284, doi:10.5270/OceanObs09- FOO, 2012. · DOI
  14. Oke, P. R. and Schiller, A.: Impact of Argo, SST, and altimeter data on an eddy-resolving ocean reanalysis, Geophys. Res. Lett., 34, L19601, doi:10.1029/2007GL031549, 2007. · DOI
  15. Oke, P. R., Larnicol, G., Fujii, Y., Smith, G. C., Lea, D. J., Mourre, B., Guinehut, S., Remy, E., Balmaseda, M. A., Rykova, T., Surcel-Colan, D., Martin, M. J., Sellar, A. A., Mulet, S., and Turpin, V.: Assessing the impact of observa- tions on ocean forecasts and reanalyses: Part 1: Global stud- ies, Journal of Operational Oceanography, 8, sup1, s49-s62, doi:10.1080/1755876X.2015.1022067, 2015a. · DOI · Paper page
  16. Oke, P. R., Larnicol, G., Jones, E. M., Kourafalou, V., Sperrevik, A. K., Carse, F., Tanajura, C. A. S., Halliwell, G. R., Le Hé- naff, M., and Atlas, R.: Assessing the impact of observations on ocean forecasts and reanalyses: Part 2: Regional applica- tions, Journal of Operational Oceanography, 8, sup1, s63-s79, doi:10.1080/1755876X.2015.1022080, 2015b. OOPC: Report of the Tropical Pacific Observing System 2020 Workshop (TPOS2020), White Paper -Vol.II, avail- able at: http://www.iode.org/index.php?option=com_oe&task= viewDocumentRecord&docID=13163 (last access: July 2014), 2014. · DOI
  17. Rio, M. H., Guinehut, S., and Larnicol, G.: New CNES-CLS09 global mean dynamic topography computed from the combina- tion of GRACE data, altimetry and in-situ measurements, J. Geo- phys. Res., 116, C07018, doi:10.1029/2010JC006505, 2011. · DOI
  18. Tranchant, B., Testut, C.-E., Renault, L., Ferry, N., Birol, F., and Brasseur, P.: Expected impact of the future SMOS and Aquarius Ocean surface salinity missions in the Merca- tor Ocean operational systems: New perspectives to monitor ocean circulation, Remote Sens. Environ., 112, 1476-1487, doi:10.1016/j.rse.2007.06.023, 2008. · DOI
  19. Vidard, A., Anderson, D. L. T., and Balmaseda, M.: Im- pact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts. Mon. Weather Rev., 135, 409-429, doi:10.1175/MWR3310.1, 2007. · DOI
  20. Von Schuckmann, K., Gaillard, F., and Le Traon, P.-Y.: Global hy- drographic variability patterns during 2003-2008, J. Geophys. Res.-Oceans, 114, 1-17, doi:10.1029/2008JC005237, 2009. · DOI
  21. von Schuckmann, K. and Le Traon, P.-Y.: How well can we derive Global Ocean Indicators from Argo data?, Ocean Sci., 7, 783- 791, doi:10.5194/os-7-783-2011, 2011. · DOI

Cited by

Sorted by citations

Authors
Turpin, V., Remy, E., & Le Traon, P. Y.
Affiliations
Institut Pierre-Simon Laplace (FR)
Corresponding author
Turpin, V.
Venue
Ocean Science
Published
2016-02-16
Volume
12
Issue
1
Pages
257-274
ISSN
  • 1812-0784 (ISSN-L)
  • 1812-0792
OpenAlex
W1559870383
Cited by
29
References
1
Citations by year
2026: 1 · 2025: 3 · 2024: 5 · 2023: 4 · 2020: 3 · 2019: 6 · 2018: 3 · 2017: 3 · 2016: 1
FWCI
3.51
Type
journal article
Language
en
Open access
Locations
  • Ocean science (publishedVersion, cc-by)
  • HAL (submittedVersion)
  • Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Agence Nationale de la Recherche (ANR-10-EQPX-0040)
  • Centre National d’Etudes Spatiales
Topics
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
  • Physical Sciences › Engineering › Ocean Engineering › Underwater Vehicles and Communication Systems
Keywords
Argo floats, observing system experiments, ocean data assimilation, sea surface temperature, salinity, altimeter data, western boundary currents, Mediterranean outflow, Gulf Stream, Labrador Sea, eddy-permitting model, observation impact

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