Data assimilative twin-experiment in a high-resolution Bay of Biscay configuration: 4DEnOI based on stochastic modeling of the wind forcing

Vervatis, Vassilios; Testut, Charles-Emmanuel; Mey-Frémaux, Pierre de; Ayoub, Nadia; Chanut, Jérôme; Quattrocchi, Giovanni

doi:10.1016/j.ocemod.2016.01.003

Cited by 14 publications

(24 citation statements)

References 41 publications

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“…High-frequency measurements are found to be complementary to altimetry (Pascual et al, 2015); together they provide a strong dynamical control for ocean models (Yu et al, 2012). Other studies also assimilate SST in addition to altimetry (e.g., Vervatis et al, 2016).…”

Section: Using Coastal Models To Synthesize Observationsmentioning

confidence: 91%

Model-Observations Synergy in the Coastal Ocean

et al. 2019

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Integration of observations of the coastal ocean continuum, from regional oceans to shelf seas and estuaries/deltas with models, can substantially increase the value of observations and enable a wealth of applications. In particular, models can play a critical role at connecting sparse observations, synthesizing them, and assisting the design of observational networks; in turn, whenever available, observations can guide coastal model development. Coastal observations should sample the two-way interactions between nearshore, estuarine and shelf processes and open ocean processes, while accounting for the different pace of circulation drivers, such as the fast atmospheric, hydrological and tidal processes and the slower general ocean circulation and climate scales. Because of these challenges, high-resolution models can serve as connectors and integrators of coastal continuum observations. Data assimilation approaches can provide quantitative, validated estimates of Essential Ocean Variables in the coastal continuum, adding scientific and socioeconomic value to observations through applications (e.g., sea-level rise monitoring, coastal management under a sustainable ecosystem approach, aquaculture, dredging, transport and fate of pollutants, maritime safety, hazards under natural variability or climate change). We strongly recommend an internationally coordinated approach in support of the proper integration of global and coastal continuum scales, as well as for critical tasks such as community-agreed bathymetry and coastline products.

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Section: Using Coastal Models To Synthesize Observationsmentioning

confidence: 91%

Model-Observations Synergy in the Coastal Ocean

et al. 2019

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“…The initial state and open boundary conditions are acquired from the daily archives of the CMEMS infrastructure for physics, and the weekly archives for biogeochemistry. Details of the physical model set-up are described in Vervatis et al (2016). The open boundaries of the biogeochemical model are forced by the global system BIOMER4V1R1 (resolution: 1/2°; http://www.mercator-ocean.fr/), which provides (via the CMEMS archives) a 3D global weekly mean analysis for dissolved iron, nitrate, phosphate, silicate, oxygen, chlorophyll and phytoplankton concentrations expressed as their carbon contents.…”

Section: The Coupled Physical-biogeochemical Deterministic Ocean Modelmentioning

confidence: 99%

“…One common approach to realistically represent error processes and their time evolution is stochastic modelling (e.g. Adhler et al, 1996; and recent studies for regional configurations in Melsom et al, 2012;Sakov et al, 2012;Quattrocchi et al, 2014;Barth, 2015, 2019;Vervatis et al, 2016). Lucas et al (2008) generated ensembles using NEMO (Nucleus for European Modelling of the Ocean; http://www.nemo-ocean.eu/; Madec, 2012), based on a configuration for the North Atlantic at 1/4° resolution and multivariate EOF modes.…”

Section: Introductionmentioning

confidence: 99%

Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation

et al. 2021

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“…We used the NEMO platform (Nucleus for European Modelling of the Ocean; http://www.nemo-ocean.eu/; Madec, 2012) and its biogeochemical component PISCESv2 (Pelagic Interactions Scheme for Carbon and Ecosystem Studies volume 2; Aumont et al, 2015). The ocean model domain encompasses the Bay of Biscay and the western part of the English Channel (Quattrocchi et al, 2014;Vervatis et al, 2016). The physical model is coupled online (one-way with high coupling frequency for the conservation of tracers) with a biogeochemical model at 1/36° horizontal resolution.…”

Section: Stochastic Modellingmentioning

confidence: 99%