Assessing equatorial surface currents in the FOAM Global and Indian Ocean models against observations from the global tropical moored buoy array

Hyder, Patrick; Storkey, David; Blockley, Ed; Guiavarc’h, Catherine; Siddorn, John; Martin, Matthew J.; Lea, Daniel

doi:10.1080/1755876x.2012.11020136

Cited by 7 publications

(7 citation statements)

References 18 publications

(19 reference statements)

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“…In the eastern Pacific-for example, 1408 and 1108W-our result that data assimilation had no impact on the 5-yr mean EUC transport (Fig. 4) was not consistent with the results of Huddleston et al (2004), Hoteit et al (2010, Balmaseda et al (2013) and Karspeck et al (2013), which indicated that assimilation of data increased the EUC transport, and was not similar to the Hyder et al (2012) result that data assimilation reduced the EUC transport at 1408W. In the western Pacific-for example, 1658E and 1708W-we found data assimilation to have no impact in some years and it increased EUC transport in other years.…”

Section: Equatorial Undercurrentcontrasting

confidence: 78%

“…For the NECC, we provide here the first description of the space-time structure of the impact of data assimilation. For the EUC, no simple summary of our results and those of others (e.g., Karspeck et al 2013;Balmaseda et al 2013;Hyder et al 2012;Behringer 2007;Bell et al 2004;Huddleston et al 2004) on the impact of data assimilation is conclusive. A round-robin experiment is warranted to compare the impact of data assimilation on the EUC transport, in which a consistent Baseline solution and methodology are compared.…”

Section: Discussioncontrasting

confidence: 47%

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Impact of Data Assimilation on ECCO2 Equatorial Undercurrent and North Equatorial Countercurrent in the Pacific Ocean

Halpern

Menemenlis

Wang

2015

Journal of Atmospheric and Oceanic Technology

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The impact of data assimilation on the transports of eastward-flowing Equatorial Undercurrent (EUC) and North Equatorial Countercurrent (NECC) in the Pacific Ocean from 1458E to 958W during 2004-05 and 2009-11 was assessed. Two Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2), solutions were analyzed: one with data assimilation and one without. Assimilated data included satellite observations of sea surface temperature and ocean surface topography, in which the sampling patterns were approximately uniform over the 5 years, and in situ measurements of subsurface salinity and temperature profiles, in which the sampling patterns varied considerably in space and time throughout the 5 years. Velocity measurements were not assimilated. The impact of data assimilation was considered significant when the difference between the transports computed with and without data assimilation was greater than 5.5 3 10 6 m 3 s 21 (or 5.5 Sv; 1 Sv [ 10 6 m 3 s 21 ) for the EUC and greater than 5.0

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Section: Equatorial Undercurrentcontrasting

confidence: 78%

Section: Discussioncontrasting

confidence: 47%

Impact of Data Assimilation on ECCO2 Equatorial Undercurrent and North Equatorial Countercurrent in the Pacific Ocean

Halpern

Menemenlis

Wang

2015

Journal of Atmospheric and Oceanic Technology

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“…Further investigation therefore will be required to better understand the cause of this bias before this issue can be resolved. Additional discussion of this westward equatorial bias can be found in Hyder et al (2011).…”

Section: Comparison Of Drifter-derived Velocities With Current Moorinmentioning

confidence: 99%

“…In order to validate the process of producing currents from drifter positions, summary statistics from the drifter-derived current analysis are compared to statistics obtained from comparisons made against the global tropical moored buoy array (as introduced by Hyder et al, 2011). The drifter-current technique is then used to assess daily-mean global velocity fields from the Met Office FOAM system by directly comparing simulated currents with the pseudo-Eulerian observations.…”

Section: E W Blockley Et Al: Validation Of Foam Near-surface Oceanmentioning

confidence: 99%

Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys

2012

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Abstract. In this study, the quality of near-surface current forecasts from the FOAM ocean forecasting system is assessed using the trajectories of Lagrangian drifting buoys. A method is presented for deriving pseudo-Eulerian estimates of ocean currents from the positions of Surface Velocity Program drifters and the resulting data are compared to velocities observed by the global tropical moored buoy array. A quantitative analysis of the global FOAM velocities is performed for the period 2007 and 2008 using currents derived from over 3000 unique drifters (providing an average of 650 velocity observations per day). A potential bias is identified in the Southern Ocean which appears to be caused by wind-slip in the drifter dataset as a result of drogue loss. The drifter-derived currents are also used to show how the data assimilation scheme and a recent system upgrade impact upon the quality of FOAM current forecasts.

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“…Information on the skill of the system to reproduce observed ocean currents over large regions from short (2 year) reanalyses of the FOAM system, focussing mainly on the 1/4° configuration, is presented in Blockley et al (2012) and Hyder et al (2012). The former paper presents comparisons globally and regionally of the modelled 15m currents with velocities generated from the positions of the Surface Velocity Program (SVP) drifting buoy network.…”

Section: Statement Of Theory and Definitionsmentioning

confidence: 99%

The Mid-Atlantic Current Hindcast

et al. 2013

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Advanced numerical modelling technology enables detailed characterisation of ocean current conditions in regions of complex hydrodynamics, such as the deeper water provinces of the continental slope. Model simulation of longterm historical conditions can significantly enhance the understanding of ocean conditions in a given location, increase the value of relatively short-term in-situ measurements, and hence reduce the uncertainty in engineering design and operational planning. However, such model results must be shown to be fully 'fit for purpose', which has often been a challenge to the research community. The Mid-Atlantic Current Hindcast (MACH) is a cooperative initiative between the UK Met Office, Oceanweather Inc. and BMT ARGOSS, to undertake a high integrity numerical model reanalysis of layered ocean current, temperature and salinity over a twenty year period. Applications of the resultant dataset include support to deep water offshore engineering design, marine operational planning and oil spill simulation. The project utilises state of the art assimilative ocean modelling technology and very high quality wind forcing. With the engagement of oil and gas majors, the modelling system is tuned and independently extensively validated against comprehensive in-situ oceanographic measurements. The nested ocean model system includes a coarse grid of the central and South Atlantic Ocean, and a nested very fine resolution grid covering all of the principal oil and gas concession areas in West Africa. The modelling approach also facilitates nesting fine resolution grids along the eastern Atlantic coast of South America, which provides future possibilities for deep water Brazil. The paper presents details of the modelling system, its configuration and testing during an initial pilot integration.

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Assessing equatorial surface currents in the FOAM Global and Indian Ocean models against observations from the global tropical moored buoy array

Cited by 7 publications

References 18 publications

Impact of Data Assimilation on ECCO2 Equatorial Undercurrent and North Equatorial Countercurrent in the Pacific Ocean

Impact of Data Assimilation on ECCO2 Equatorial Undercurrent and North Equatorial Countercurrent in the Pacific Ocean

Validation of FOAM near-surface ocean current forecasts using Lagrangian drifting buoys

The Mid-Atlantic Current Hindcast

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