Impact of Argo on analyses of the global ocean

Balmaseda, Magdalena; Anderson, David L. T.; Vidard, Arthur

doi:10.1029/2007gl030452

Cited by 79 publications

(65 citation statements)

References 9 publications

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“…The impact of the different components of the GOOS on ECMWF seasonal forecast system has been assessed through a series of OSE studies [13,14,15]. Reference [13] focussed on the relative impact of the tropical in situ mooring arrays, XBTs and Argo observations for a period when Argo array was incomplete, and when altimeter data was not assimilated.…”

Section: Figure 3: Rms Residuals Between Observed and Modelled Sla Fomentioning

confidence: 99%

Observational Requirements of GODAE Systems

Oke

2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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Global ocean forecast systems, developed under the Global Ocean Data Assimilation Experiment (GODAE), can be used to assess the impact of different components of the Global Ocean Observing System (GOOS). GODAE systems can be exploited to help identify observational gaps and to ultimately improve the efficiency and effectiveness of the GOOS for constraining ocean models for ocean prediction and reanalysis. Many tools are currently being used by the GODAE community to evaluate the GOOS. Observing System Experiments, where different components of the GOOS are systematically with-held, can help quantify the extent to which the skill of a model depends on each observation type. Various other techniques, including observing system simulation experiments, adjoint-and ensemble-based approaches, can be used to aid the design and evaluation of ocean observing systems. A suite of examples using these methods to evaluate the GOOS from a GODAE perspective are presented in this paper. Also included in this paper is a proposed plan to move these activities towards routine monitoring of the GOOS using operational GODAE systems.

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Section: Figure 3: Rms Residuals Between Observed and Modelled Sla Fomentioning

confidence: 99%

Observational Requirements of GODAE Systems

Oke

2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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“…Oke et al, 2009;Dombrowsky et al, 2009) (see next section) and will be critical for developing reliable seasonal to decadal climate predictions (e.g. Balmaseda et al, 2007;Balmaseda and Anderson, 2009). About 200 papers using Argo data are published per year.…”

Section: Argo Achievementsmentioning

confidence: 99%

From satellite altimetry to Argo and operational oceanography: three revolutions in oceanography

Traon

2013

Ocean Sci.

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Abstract. The launch of the French/US mission Topex/Poseidon (T/P) (CNES/NASA) in August 1992 was the start of a revolution in oceanography. For the first time, a very precise altimeter system optimized for largescale sea level and ocean circulation observations was flying. T/P alone could not observe the mesoscale circulation. In the 1990s, the ESA satellites ERS-1/2 were flying simultaneously with T/P. Together with my CLS colleagues, we demonstrated that we could use T/P as a reference mission for ERS-1/2 and bring the ERS-1/2 data to an accuracy level comparable to T/P. Near-real-time high-resolution global sea level anomaly maps were then derived. These maps have been operationally produced as part of the SSALTO/DUACS system for the last 15 yr. They are now widely used by the oceanographic community and have contributed to a much better understanding and recognition of the role and importance of mesoscale dynamics. Altimetry needs to be complemented with global in situ observations. At the end of the 90s, a major international initiative was launched to develop Argo, the global array of profiling floats. This has been an outstanding success. Argo floats now provide the most important in situ observations to monitor and understand the role of the ocean on the earth climate and for operational oceanography. This is a second revolution in oceanography. The unique capability of satellite altimetry to observe the global ocean in near-real-time at high resolution and the development of Argo were essential for the development of global operational oceanography, the third revolution in oceanography. The Global Ocean Data Assimilation Experiment (GODAE) was instrumental in the development of the required capabilities. This paper provides an historical perspective on the development of these three revolutions in oceanography which are very much interlinked. This is not an exhaustive review and I will mainly focus on the contributions we made together with many colleagues and friends.

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“…The 4DVar approaches implicitly include flowdependent relationships and balances but still require estimates of the background and model error statistics. [85].…”

Section: Modelling and Assimilation Challengesmentioning

confidence: 99%

“…6, where the ECMWF ocean data assimilation system (S3 [28]) has been used to assess the impact of Argo salinity observations on the salinity analysis in the upper 300 m (S300). There are many areas where the effect of temperature on S300 is contrary to the dire ct effect of using salinity [85]. S3 uses the algorithm from [86] to correct salinity along isotherms to maintain important water mass properties, a technique that [87] show s improves upon conventional depth-level assimilation.…”

Section: Figure 6 Impact Of Argo On the Average Salinity In Upper 30mentioning

confidence: 99%

“…Another area of concern is the biases in coupled models (e.g., [45]) that will have a detrimental impact on state estimates during periods that are observation-challenged. Many aspects of ocean circulation simulation are improved with resolution in ocean-only models (e.g., [85]), however resolution does not necessarily ameliorate important biases in coupled models. Nevertheless, it is the role of data assimilation to compensate for errors, including biases with the appropriate formulation.…”

Section: Integrated Earth System Analysesmentioning

confidence: 99%

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